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Blog
Natural Language Processing – Connecting The World through Language With AI
As young children, before we can even walk or talk, we’re listening. We’re hearing the sounds and vocalizations made by other people. We’re attaching those combinations of sounds to meanings, such as ‘mother’ and ‘door’, and learning to read the facial expressions of those around us to deepen our understanding of blocks of words. Then we go to school, start ...
Whitepapers
THE STATE OF AI AND MACHINE LEARNING FOR AUTOMOTIVE 2023
The State of AI and Machine Learning for Automotive leverages data from our 8th annual State of AI and Machine Learning Report to explore the trends and perception of the future of AI for the automotive industry. With advancements in technology, we’re seeing the impacts of human-in-the-loop annotation, the implementation of new vehicle features, and innovations in driver autonomy contributing ...
Webinars
AI Trends of 2022: The State of AI Revealed
Change is constant in the AI industry; new technologies and methods are being created every month. To keep up with the change, companies must look to the newest trends, and adopt them into their own AI growth plans. Sitting back and watching events unfold for others isn’t an option in the world of artificial intelligence and machine learning. Watch On-Demand AI ...
Whitepapers
The 2021 State of AI and Machine Learning Report
Since 2016, the State of AI and Machine Learning Report has given insight into the adoption, implementation and scale of AI across industries. This large-organization study of senior business leaders and technologists details where organizations are within their AI journey — from the types of data they leverage to the tools they use and budgets they have. This year’s report ...
Webinars
Dream Vacations Made Easier: How Airbnb Delivers on Hospitality with World-Class AI
The first session of our new series, Bound to Succeed: AI Tech Talk with Wilson Pang with guest, Airbnb. Host, Appen Chief Technology Officer, Wilson Pang will discuss the challenges of AI in hospitality and how to overcome them. AI continues to advance rapidly, but still faces hard challenges when it comes to real-world applications. The right data partner can ...
Whitepapers
The Ultimate Guide to AI Training Data Platforms
Everything you need to know to find the right training data platform to suit your machine learning needs Effective machine learning projects begin and end with quality training data and finding the right platform to support your AI model needs is the first step on your path to success. If you’re looking to launch an AI algorithm or machine learning ...
Blog
Machine Learning in Advertising – Predictive Targeting and Moderation
The job of marketers is to get the right product in front of the right consumer at the moment that they’re most likely to buy that product. The ability for marketers to do just that and to drill down to more and more specific niches of customers has grown exponentially over time. AI technology is now being used to help ...
Blog
How Data and Machine Learning Model Choices Impact Deployment Rates
When you’re building a machine learning model, there are a few critical components to consider: calculation power, the algorithm, and the data. Often, a company will focus most of its resources on developing the right, bias-free algorithm and investing in more calculation power. Data is often an after-thought or forgotten entirely until it’s time to run the model. When data ...
Blog
How Data Annotation Platforms Help Improve Machine Learning Models
In recent years, AI has become less of a flashy new idea and more mainstream with a wide variety of businesses implementing AI technology and machine learning models into their business practices. And, as the world generates ever-growing amounts of data, the data you need for your specific use case is likely already out there just waiting for you to ...
Blog
Expert, Secure and Timely Transcription Services for Conference Calls
Searching online for dial-in conference call transcription reveals countless ‘cheap and cheerful’ DIY options. But if quality matters as well as cost, you’ll need an experienced, specialist transcription provider. Developments in recording technology and speech to text conversion software mean there are plenty of DIY solutions out there if you want to create a written record of your important conference ...
Blog
Search Relevance — Why No Website or App Should Be Without It
Set the scene: you’re looking for a new item of clothing, so you navigate to your favorite online store. You hop up to the search bar to type in what you’re looking for. What results do you expect? Highly accurate, relevant, and instantaneous results. Customers expect high-quality results no matter what website they’re searching on, what they’re looking for, and ...
Blog
AI vs. Deep Learning vs. Machine Learning: Everything You’ve Ever Wanted to Know
If you’ve spent any time reading articles about tech in the last few years, you’ve likely bumped into some new terms such as artificial intelligence or AI, machine learning or ML, and deep learning. These trending tech terms are often used without explanation of what makes them different. And, to be clear, they’re not interchangeable. As technology becomes more and ...
Blog
The Rise in Computer Vision Datasets & How It Benefits Organizations
One of the most exciting subfields in AI and machine learning today is Computer Vision or CV. CV is used in a diverse number of applications to improve our daily lives, as well as advance science and technology research. These use cases include: Autonomous driving Automatic image captioning Facial recognition and tagging on social media Medical imaging analysis and diagnostics ...
Blog
Top 5 Predictions About the Future of AI and Data
For the past few years, overarching goals with AI have been aspirational. As this new technology exists in the realm of literature and academia and is applied to real-world problems and bent to real-world solutions, there has to be a reckoning with its true capabilities and use cases. For AI, 2021 was a year of over-promising. While potentially underwhelming and ...
Blog
What are Managed Services in AI?
Deploying a well-performing AI model is a complicated, resource-intensive task, so it’s no surprise companies are turning to managed services for assistance. Generally speaking, managed services refers to any end-to-end white glove service. A company can partner with a managed service provider (MSP) for all or part of a given operation via managed services. This concept is now frequently being ...
INDUSTRIES
Content Relevance: All You Need To Know About Serving Relevant Content To Your Customers
Many companies make the mistake when serving content to their customers and potential customers of not tailoring enough and serving too generic pieces that may not be relevant for everyone in their target. When it comes to content relevance, people want to see helpful information and solutions to their problems, or to be entertained and engaged. Serving up relevant content ...
Blog
What is Synthetic Data?
Everything You Need to Know About Synthetic Data Companies launching artificial intelligence (AI) face a major hurdle in collecting sufficient data for their models. For many use cases, the right data simply isn’t available or is very difficult and expensive to acquire. Missing, or incomplete, data isn’t desirable when creating AI models, but even larger tech companies misstep in this ...
Blog
What is Automatic Speech Recognition?
Advances in AI in conjunction with the global pandemic have motivated businesses to enhance their virtual interactions with customers. Increasingly, they’re turning to virtual assistants, chatbots, and other speech technology to power these interactions efficiently. These forms of AI rely on a process known as Automatic Speech Recognition, or ASR. ASR involves the conversion of speech into text; it enables ...
Blog
What is Active Learning?
When and Why You Should Select an Active Learning Approach The key to training any machine learning (ML) model is data. Yet data remains one of the biggest barriers to success for organizations and teams investing in artificial intelligence (AI). For one, you need a lot of it to create high-performing models. And what’s more, you need data that’s accurately ...
Blog
25 Year Anniversary
This year, Appen is celebrating its 25th Anniversary in helping people access reliable training data to deploy their projects with confidence. As we look to the future, we’re also reflecting on the past. Looking back on where we’ve come from is how we can see our growth and can get a clear picture of how many people and companies we’ve ...
Blog
Data Labeling Tools: How to Level up Your Process
From spam filtering to personalized chat bot experiences, AI innovations are becoming a facet of our everyday lives. Most companies, if they haven’t already, are considering adopting AI and machine learning tools in their internal and external processes. What many people don’t realize if they haven’t worked with AI and machine learning technology before is that you can’t just go ...
Blog
What is Sensor Fusion?
Sensor Fusion Shapes the Future of Connected Devices Sensors are used in almost every industry now: they’re found in our cars, in our factories, and even in our smartphones. While an individual sensor may provide useful data on its own, imagine the information that could be extracted from combining output from multiple sensors at once. This would give us a ...
Blog
What is Audio Transcription?
How AI is Making Transcription More Efficient Human transcription has been around in some form for hundreds, if not thousands, of years. Recently, it’s getting a boost with AI. Transcriptions themselves are the text form of the audio content; they enable a reader to comprehend what was said or what happened during a period of time without having to listen ...
Blog
What is Human-centered AI?
The Future of AI Needs a Human Touch The rapid evolution of AI technology has generated much excitement around its potential to enhance our daily lives. As a result, AI experts are having frequent conversations around the best ways to leverage AI in our society and out of this dialogue has emerged the human-centered AI approach. Human-centered AI isn’t about ...
Blog
What are Data Collection Solutions?
How to Collect Data Efficiently and Responsibly for Your AI Initiatives Data collection continues to be a major bottleneck for teams building artificial intelligence (AI). The reasons vary: there may be a lack of sufficient data for a use case, new machine learning (ML) techniques like deep learning require more data, or teams don’t have the right processes in place ...
Blog
The Basics of Small Data: Actionable Data Provide a New Path Forward in AI
You may have heard the buzzword “big data” in the context of AI, but what about small data? Whether you’re aware of it or not, small data is all around you: it powers online shopping experiences, airline recommendations, weather reports, and more. Small data is data that’s in an accessible and actionable format and easily comprehensible by humans. Data scientists ...
Blog
Verbatim vs. Intelligent Verbatim: Which Transcript Style to Choose, and When
Transcripts can be created in a range of styles and formats, depending on the scenario. Verbatim and intelligent verbatim are the two most common, but in order to choose the right one, it’s important to understand the differences between them. When it comes to creating a written record of the spoken word, the finished transcript can vary greatly depending on ...
Blog
Data Science and Machine Learning Automation: What to Know About the State of Automation in AI
In the last decade, there have been many developments in the automation of artificial intelligence (AI) building. Frequently in dialogue about the future of AI, you may hear reference to data science automation and machine learning automation used interchangeably. In reality, these terms have distinct definitions: the current automated machine learning (known as AutoML) goals refer specifically to the automation ...
Blog
Navigating the Transcription Process
Seven Simple Steps to Getting the Best Written Record As remote working becomes increasingly prevalent, more and more organizations are finding they need accurate written records of their virtual meetings and conference calls. Whether you are a first-timer or an existing customer, have you ever wondered how the transcription process works? Here’s Appen’s guide to what happens when. 1. Identify ...
Blog
Don’t Start from Scratch When Building Machine Learning Models
How Leveraging Training Data with Pre-Trained Models Can Accelerate Your AI Projects It would probably be a safe bet to assume that most of the AI you’ve interacted with was built using supervised learning. Supervised learning, which is essentially building machine learning (ML) models from scratch, has been the key driver of artificial intelligence (AI) development so far, motivated by ...
Blog
The Role of Data in Responsible AI: Data Decisions that Shape the Future of Ethical AI
There’s no question that artificial intelligence (AI) will continue its rapid evolution in the coming years and become increasingly interconnected with our daily lives. The onus is now on companies to approach AI with a responsible lens in order to maximize transparency, reduce bias, and guide ethical applications of the technology. AI that works well, after all, works equitably for ...
Blog
What is Optical Character Recognition?
How Artificial Intelligence Gives OCR a Boost Artificial intelligence is transforming the capabilities of optical character recognition (OCR) tools. An area of computer vision, OCR processes images of text and converts that text into machine-readable forms. In other words, it takes handwritten or typed text within physical documents and converts them into digital formats. In the 1990s, many business owners ...
Blog
What is AutoML?
Automated Machine Learning Uses and Approaches Explained As organizations seek to use machine learning in more diverse use cases, the amount of pre and post data processing and optimization scales exponentially. The difficulty to hire enough people to do all the tasks associated with advanced machine learning models makes automated tools for machine learning a critical component for the future ...
Blog
Where eBay Went Right—and Wrong—With AI: What You Measure Matters
The following is adapted from Real World AI. I joined eBay back in 2006, and in 2009, the company was in very bad shape. Its share price was at a historical low, well off its near-$24 historical high; it was cutting costs, growth was negative, market share was shrinking, and the technology team wasn’t empowered to innovate. Put simply, the ...
Blog
The Current State of AI 2021: Report Now Available
What You Need to Know About the Seventh Annual Industry Report In our seventh edition of the State of AI and Machine Learning Report, we continue to evaluate an industry that is changing rapidly year-over-year. Our goal with the report is to provide a current picture of the trends, priorities, and challenges faced by businesses building AI technology. Once again, ...
Webinars
State of AI 2021 – Making Machine Learning Work in The Real World
The State of AI 2021 report is showing clear signs that companies are going all-in on AI. In this time of transition during the pandemic, we set out to explore why companies are considering AI to be core to survival. Amongst the findings, we saw that the maturing of AI projects, the desire for faster and greater ROI, and the ...
Blog
Types of Errors We See with Training Data: How to Recognize and Avoid Common Data Error
It’s helpful to contrast AI development with traditional software development. In traditional software, you write code that’s deterministic (i.e., every time you run it with the same inputs, you’ll receive the same outputs). But with AI development, it’s not the code that’s most important, it’s the data. Specifically, the labeling of the data. High-quality, accurately-labeled data is crucial to building ...
Blog
Responsible AI Across the Value Chain: Ethical Approaches to AI from Data to Deployment—and Beyond
It can’t be stated enough: it’s the responsibility of every organization creating artificial intelligence (AI) to do so ethically. Responsible, or ethical, AI is AI that’s unbiased, equitable, and improves the quality of life of everyone it touches. In practice, it requires AI practitioners to apply an ethical framework to every AI endeavor they pursue, ensuring the people, processes, and ...
Blog
What is Training Data?
Machine Learning algorithms learn from data. They find relationships, develop understanding, make decisions, and evaluate their confidence from the training data they’re given. And the better the training data is, the better the model performs. In fact, the quality and quantity of your machine learning training data has as much to do with the success of your data project as ...
Blog
Five AI Market Trends for 2021: Shifting Approaches to Data, Use Cases, and More
The field of artificial intelligence (AI) continues to evolve at a rapid pace as companies learn and grow from their challenges and successes. More and more, companies are aligning on the foundational role that data plays in AI implementation. As a consequence, there are numerous exciting trends emerging within the data subdomain worth watching. These trends illustrate both the barriers ...
Blog
What is Data Labeling?
Everything You Need to Know About Data Labeling – Featuring Meeta Dash Artificial intelligence (AI) is only as good as the data it is trained with. With the quality and quantity of training data directly determining the success of an AI algorithm, it’s no surprise that, on average, 80% of the time spent on an AI project is wrangling training data, ...
Blog
How to Get Started: Building Trustworthy AI in the European Union
Artificial Intelligence (AI) has tremendous potential to increase productivity, uncover new insights and create new experiences. But such a high potential technology demands that organizations build AI with a responsible lens in mind to make sure it nets a positive impact. The European Commission (EC) has taken steps to transform such recommendations into law and has recently expanded its product ...
Blog
How to Reduce Bias in AI
Top Eight Ways to Overcome and Prevent AI Bias Algorithmic bias in AI is a pervasive problem. You can likely recall biased algorithm examples in the news, such as speech recognition not being able to identify the pronoun “hers” but being able to identify “his” or face recognition software being less likely to recognize people of color. While entirely eliminating ...
Blog
Overcoming AI Deployment Challenges
5 Tips for Handling the Biggest AI Obstacles You may have heard the stat: over 80% of artificial intelligence (AI) projects never make it to deployment. While we expect to see that number decrease in the coming years, in the meantime companies face very real, and common, barriers to success. Lack of high-quality data, insufficient technical expertise, misalignment within the ...
Blog
Machine Vision vs. Computer Vision — What’s the Difference?
Artificial Intelligence is an umbrella term that covers several specific technologies. In this post, we will explore machine vision (MV) vs. computer vision (CV). They both involve the ingestion and interpretation of visual inputs, so it’s important to understand the strengths, limitations, and best use case scenarios of these overlapping technologies. The Beginning of Computer Vision Researchers began developing computer-enabled ...
Blog
3 Things Business Decision-Makers Must Do to Create Better AI
The following is adapted from Real World AI. It’s becoming increasingly clear that AI is the future for business. AI models can save time, increase efficiency, and drive revenue. As more and more businesses adopt AI, it soon won’t be a nice-to-have, but a must-have in order to compete in the marketplace. As a business decision-maker, that can be overwhelming. ...
Blog
What is Text Annotation in Machine Learning?
Everything You Need to Know About Text Annotation with Yao Xu Every day, we interact with different media (such as text, audio, images, and video), relying on our brain to process what media we are seeing and make meaning out of it to influence what we do. One of the most common types of media is text, which makes up ...
Blog
Secure Transcription Services for Sensitive Data
Maintaining the Highest Levels of Confidentiality During COVID-19 COVID-19 restrictions are challenging all service providers to come up with imaginative new ways to meet their clients’ needs. Appen is offering a two-part approach to transcribing confidential material that delivers high levels of confidentiality and protects our employees. Most transcription providers offer basic security measures, like staff vetting and agreed data ...
Blog
The Value of AI: Exploring Opportunities and Challenges in AI Technology
Demand for Artificial Intelligence (AI) practitioners and budgets for AI initiatives have never been higher. Digital transformation brought about by driving forces like the global pandemic have greatly accelerated development of AI and machine learning (ML) technology. More and more companies are figuring out how to unlock the value of AI and make it work in the real world, often to ...
Blog
What is Human-in-the-Loop Machine Learning?
Human-in-the-loop (HITL) is a branch of artificial intelligence that leverages both human and machine intelligence to create machine learning models. In a traditional human-in-the-loop approach, people are involved in a virtuous circle where they train, tune, and test a particular algorithm. Generally, it works like this: First, humans label data. This gives a model high quality (and high quantities of) ...
Blog
Exploring the World of LiDAR: What is it and How Does it Work?
LiDAR has served as a useful tool in many industries for decades, but only recently are we starting to realize its true potential with the introduction of artificial intelligence (AI)-powered solutions. LiDAR, also known as light detection and ranging, is a remote sensing technology. It uses laser scanners to measure distances and dimensions between the sensor and target object, such ...
Blog
Spelling Standardization: How Many Ways Can You Spell a Word?
Here's a topic that's near and dear to our hearts here at Appen: spelling standardization. How hard can that be? Oh boy. Follow us down the rabbit hole.
Blog
You Can’t Just Use AI – You Must Lead With AI
The following is adapted from Real World AI. AI will soon be a necessary part of doing business. Every company will have an AI strategy in the same way that they have a social media strategy, branding strategy, talent strategy, etc. So if you want to stand out from the competition and gain an edge, you can’t just use AI; ...
Blog
An Introduction to Audio, Speech, and Language Processing
Applying Machine Learning to Everyday Scenarios Human-machine-interaction is increasingly ubiquitous as technologies leveraging audio and language for artificial intelligence evolve. For many of our interactions with businesses—retailers, banks, even food delivery providers—we can complete our transactions by communicating with some form of AI, such as a chatbot or virtual assistant. Language is the foundation of these communications and, as a ...
Blog
To Launch AI Successfully, Be Prepared to Scale
The following is adapted from Real World AI. When I worked in IBM’s Watson division, my team’s first demo quickly turned into a disaster, due to scaling issues. We were creating a visual-recognition application programming interface (API). Our first demo was a simple website that allowed users to drag-and-drop images, press a button, and be presented with a list of ...
Blog
AI Data Acquisition and Governance
Best Practices for Deploying Successful AI If you aren’t working with artificial intelligence, you will be soon. We interact with AI nearly every day, forcing many companies to experiment in the space. No matter where you’re at, you will likely encountered some challenges along the way. Two of the more complex elements for successfully implementing AI within your business are ...
Blog
Four Tips to Pick Your Goldilocks Problem for AI
Why Selecting The Right Business Problem to Use AI to Solve is Essential The Following is Adapted from Real World AI. When your company is just starting to explore AI, picking the first problem to solve is just as important as coming up with the AI solution itself. Pick a problem that’s too big or difficult, and your AI project ...
Blog
ML Techniques: Active Learning vs Weak Supervision
A Comparison of Two Popular Machine Learning Techniques Machine learning (ML) has grown exponentially as a field, but a familiar roadblock remains for many businesses: data. Training ML algorithms traditionally requires enormous amounts of manually-labeled data. The sheer size of data needed is often not available at scale and costly, not to mention the time and effort required to label ...
Blog
Video Annotation: What Is It and How Automation Can Help
The Benefits of Automated Video Annotation for Your AI Models Similar to image annotation, video annotation is a process that teaches computers to recognize objects. Both annotation methods are part of the wider Artificial Intelligence (AI) field of Computer Vision (CV), which seeks to train computers to mimic the perceptive qualities of the human eye. In a video annotation project, a ...
Data Sheets
Appen’s Computer Vision Expertise
At Appen, we provide high-quality annotated training data to power the world’s most innovative machine learning and business solutions. We can support you from point cloud, image, and video annotation to pre-labeling and pixel-level semantic segmentation (PLSS). We’re here to help through the various phases such as identifying and processing objects in images and videos, to providing you high-quality data ...
Data Sheets
Natural Language Processing & Speech Technology at Appen
At Appen, our natural language processing & speech technology expertise spans over 25 years, over which time we have acquired advanced resources and expertise on the best formula for successful NLP projects. From text, speech, and audio collection to annotation, transcription, classification, and evaluation, we give you the high-quality training data you need to deploy world-class models at scale. Whatever ...
Blog
AI Model Maintenance: A Guide to Managing a Model Post-Production
Managing Models Beyond the Initial Deployment You’ve built your artificial intelligence model, trained it, tested it, tuned it, deployed it to production – you’re even receiving great feedback from customers! It’s time to move on to your next challenge, right? Not quite. The reality is it’s only the beginning: the lifecycle of a machine learning model continues long after deployment. ...
Blog
What is AI-Powered Search Relevance?
Search Relevance Optimization with Machine Learning Techniques When you type a query into your favorite online retailer’s search bar, what kind of results do you expect? Most customers today expect search engines to be highly accurate, relevant, and instantaneous in delivery. Search engines should offer a personalized experience and predict your needs – even if your wording or spelling is ...
Blog
What Is Image Annotation and How Is It Used To Build AI Models?
How Companies Use Image Annotation to Produce High-Quality Training Data Image annotation is the foundation behind many Artificial Intelligence (AI) products you interact with and is one of the most essential processes in Computer Vision (CV). In image annotation, data labelers use tags, or metadata, to identify characteristics of the data you want your AI model to learn to recognize. ...
Blog
Leveraging AI and Machine Learning for Content Moderation
How Machine Learning Optimizes Content Moderation The internet has over 4.5 billion users and growing, generating billions of images, video, messages, posts, and other content types every day. This content must be regulated in some way, as most of these internet users want to visit their favorite social media platforms or online retailers and have a safe, positive experience. Content ...
eBooks
Responsible AI from Pilot to Production
Artificial Intelligence (AI) has the potential to add $13 trillion to our global economy by 2030, according to McKinsey. Those who have successfully deployed AI see high returns on investment and increased customer satisfaction through more personalized, efficient AI tools. With AI investment growing and teams rushing to find ways to bring it into the core of their business, the ...
Blog
AI Ethics: The Guide to Building Responsible AI
Ethical AI Techniques to Minimize Bias Throughout the Model Build Process Artificial intelligence ethics are often thought of in the context of the model itself. Meaning, the focus is on the ethical quality of a model’s prediction and outcome, as well as the impact it has. Even though most companies focus on reducing bias in their models, that’s not enough to ...
Blog
How to Approach Data Collection for Conversational AI Agents
Training Conversational AI Agents on Noisy Data Chatbots, virtual assistants, robots, and more: conversational artificial intelligence (AI) is already highly visible in our daily lives. Companies looking to increase engagement with customers while reducing costs are investing heavily in the space. The numbers are clear: the conversational AI agents industry is expected to grow 20% year over year through at least ...
Blog
How to Build Successful Computer Vision Applications at Scale
Navigating Computer Vision Projects From Prototype to Production Computer vision is quickly gaining traction in several industries as the availability of image data grows, and artificial intelligence (AI) becomes increasingly paramount to companies worldwide. Computer vision, or CV, is a form of machine learning (ML) that helps computers see and interpret images similar to the human eye. By classifying images ...
Blog
AI and Data Protection: Certifications and Regulations
Regulations You and Your Training Data Partner Need to Be Aware of to Minimize Risk It’s no secret that successful AI initiatives require time, money, and effort. But, a big roadblock to many models moving beyond experimentation has to do with data. High-quality training data often makes people think of very accurate data annotations, however, another important aspect of data ...
Blog
How to Deploy AI with Confidence
Approaches to AI that Unlock Business Value Artificial intelligence (AI) is already transforming business, driving down costs, maximizing revenue, and enhancing customer experience. And many organizations are taking notice: The AI market size is expected to grow to $390.9 billion by 2025, and industries within the space show a similar trend—automotive AI, for example, is expected to grow by 35% year over year, and manufacturing ...
Blog
What is Computer Vision?
Everything You Need to Know About Computer Vision With its recent surge in popularity, computer vision (CV) has become one of the fastest-growing fields of artificial intelligence (AI). The intended purpose of computer vision technology is to mimic the complexity of the human vision system, which includes eyes, receptors, and the visual cortex. This intricate system, when duplicated, gives machines ...
Blog
Conversational AI: Making Smarter and more Scalable Models
Trends and Challenges in Conversational Artificial Intelligence Conversational artificial intelligence (AI) is already present in many families’ living rooms, cars, and online shopping experiences. Chatbots, voice assistants, smart speakers, interactive voice recognition systems: all of these are examples of conversational AI. It’s an area that’s attracting significant investment given the increased accessibility it offers through enhanced customer experiences. In the ...
Blog
Should You Build or Buy a Data Annotation Tool?
Key Considerations for Developing a Data Annotation Solution for Your AI Models You want to use artificial intelligence (AI) within your business, but how do you make sure you choose the best strategy moving forward? First, you’ve likely determined a business problem, an AI-based solution, and the use cases of that solution. But the next step is a little more ...
Blog
How Off-the-Shelf Training Datasets Can Save Your ML Teams Time and Money
New Off-the-Shelf Datasets from Appen Creating a high-quality dataset with the right degree of accuracy for training machine learning (ML) algorithms can be a difficult uplift for getting AI and ML projects off the ground. Not every company has a specialized team of ML PhDs, data engineers, and human annotators at their disposal. This is largely due to the expense ...
Blog
What is Natural Language Processing?
A Brief Introduction to NLP with Phoebe Liu Have you ever interacted with a chatbot? Or requested something from a virtual assistant like Siri, Alexa, or your car’s infotainment system? What about translating something online? Most of us have interacted with these types of artificial intelligence (AI) before, and never stopped to contemplate the ease with which we could communicate ...
Blog
Train AI Summit 2020: Speakers and Sessions Announced
Registration Open for the Free 2020 Virtual Train AI Summit The annual Train AI Summit is just around the corner. It will continue to pair our experts with speakers from leading technology companies to share their experiences building and deploying AI. In this year’s virtual format, you’ll learn strategy and implementation tools available to you to help your organization deploy ...
Blog
What Does Interoperability Mean for the Future of Machine Learning?
Interoperability, or the ability for two systems to communicate effectively, is a key factor in the future of machine learning. For banking, healthcare, and other everyday industries, we’ve come to expect that the platforms we use to exchange information can communicate seamlessly whenever we need them to. Because we all have hundreds of thousands of data points associated with our ...
Blog
What is Text Annotation in Machine Learning?
Everything You Need to Know About Text Annotation with Yao Xu Every day, we interact with different media (such as text, audio, images, and video), relying on our brain to process what media we are seeing and make meaning out of it to influence what we do. One of the most common types of media is text, which makes up ...
Whitepapers
Driving ROI Through AI
In an effort to help executives working to drive ROI from AI, we worked together with ESI ThoughtLab and a group of other AI leaders – including Cognizant, Cortex, Dataiku, DataRobot, Deloitte, and Publicis Sapient – to produce this report based on a survey of 1,200 organizations. This benchmarking study spans across a wide section of industries and world markets ...
Blog
Is Your Organization AI-Ready?
New AI Readiness Assessment Tool Now Available Many companies overestimate whether they are AI-ready. In the 2020 CIO Survey, Gartner stated that only 19% of CIOs claimed their AI projects to be in production. Meaning that when it comes to deploying AI initiatives all the way to production, a whopping 80% don’t make it. At Appen, we’ve seen our customers ...
Blog
How to Get Started with AIOps
What is AIOps, and Why is it the Future for IT Teams? As executives across industries evaluate the variety of ways that artificial intelligence (AI) can transform their businesses, one area garnering an increasing amount of attention is the evolution of IT systems to meet the demands of modern businesses, as AI migrates from the fringes to the center of ...
Blog
What is Data Labeling?
Everything You Need to Know About Data Labeling – Featuring Meeta Dash Artificial intelligence (AI) is only as good as the data it is trained with. With the quality and quantity of training data directly determining the success of an AI algorithm, it’s no surprise that, on average, 80% of the time spent on an AI project is wrangling training data, ...
Blog
Common Sense AI: Making Deep Learning Technologies More Human
Whether through devices we use to enable convenience at home or in the way products we use all the time are manufactured, AI's impact is everywhere, driving innovation in just about every aspect of our lives. But there are missing pieces to this puzzle that still cause frustration for end-users and present significant challenges for researchers trying to improve how AI technology performs.
Blog
State of AI 2020: Report Now Available
What You Need to Know About the Sixth Annual Industry Report We introduced the State of AI and Machine Learning Report over six years ago when AI and machine learning adoption was still in its infancy. Since then, the industry has grown significantly, with budgets, executive visibility, and ownership all increasing year-over-year. Despite rapid growth, there is more room for ...
Blog
The Role of Quality Assurance in Artificial Intelligence
What You Need to Know About Quality Assurance for Your AI Models Launching an artificial intelligence (AI) model that’s accurate, reliable, and unbiased is undeniably a challenge. Organizations that manage to achieve success in AI initiatives are likely aware that the quality assurance (QA) process is very different with AI than traditional QA processes. Quality assurance plays a critical role ...
Blog
How to Reduce Bias in AI
Top Eight Ways to Overcome and Prevent AI Bias Algorithmic bias in AI is a pervasive problem. You can likely recall biased algorithm examples in the news, such as speech recognition not being able to identify the pronoun “hers” but being able to identify “his” or face recognition software being less likely to recognize people of color. While entirely eliminating ...
Webinars
Embracing Responsible AI from Pilot to Production
Featuring: Lukas Biewald, Founder & CEO – Weights & Biases Sean Welch, Host and Producer – Data Science Central On average, 80% of AI projects fail to make it to production. But it IS possible to successfully launch AI, at scale, that is built responsibly and works for everyone. How you scale from pilot to production is critical to ensuring ...
Blog
Spelling Standardization: How Many Ways Can You Spell a Word?
Here's a topic that's near and dear to our hearts here at Appen: spelling standardization. How hard can that be? Oh boy. Follow us down the rabbit hole.
Blog
Appen Offers Fully Integrated Figure Eight Solution
Deploy World-Class AI Confidently With High-Quality Training Data We’re thrilled to announce that the refreshed Appen website is live. With this refresh, we have also phased the www.figure-eight.com website out, and have successfully transitioned all former Figure Eight assets – the platform, developer portal, Success Center, and social media accounts. Redirects are in place for all links that have changed, and our team has been working with all our customers, users, partners, internal users, and the crowd to ensure a seamless transition to ...
Blog
Crowd’s Collective Wisdom vs. Experts: Who Makes IBM Watson Smarter?
Understanding natural language is one of the great aspirations of artificial intelligence. While solving it could have exciting implications for society, it’s going to take an unprecedented volume of training data to make it happen. This is especially true in the interpretation of health data from a seemingly infinite array of sources — and a big reason why we’re so ...
Blog
How do you map out a conversation you haven’t even had yet?
Some conversations are easy to plan for. Take the cup of coffee you ordered this morning for example. Chances are it started with a reciprocal greeting and moved onto a request. Maybe there was a short back-and-forth hammering out small particulars (what size, do you need room for cream), followed by payment, and a quick exchange of thank yous and ...
eBooks
The Essential Guide to Training Data for AI and ML
Why Your AI Model is Only as Good as Its Training Data There’s a saying of garbage in, garbage out when it comes to artificial intelligence and machine learning. It’s common knowledge that every machine learning solution needs a good algorithm powering it, but what gets far less press is what actually goes into these algorithms: the training data itself. ...
Case Studies
Top Software Provider Develops Global CLDR through Trusted Partnership
The Company A major international software provider looking to update its Unicode Common Locale Data Repository (CLDR) approached us to provide in-market resources for 66 markets. The Challenge A major international software provider needed to update its Unicode Common Locale Data Repository (CLDR) according to its yearly refresh cycle and was looking for in-market representation for 66 markets where ...
Case Studies
Improved Search Engine Listings with Local Content Evaluation
The Company A leading multilingual search engine and mobile app provider tasked us to improve the quality of its local business listings, including addresses, phone numbers, hours of operation, maps, and directions. The Challenge A leading multilingual search engine and mobile app provider had users across the world relying on its data to find local business information, including addresses, phone ...
Case Studies
Mobile Device Manufacturer Achieves Greater Accuracy for Map Software with In-market Raters
The Company A leading software and hardware company partnered with us to test accuracy of its new, confidential mapping software for an upcoming major release of its mobile phone operating system. The Challenge A large software and hardware company needed to test out map software for the next major release of its mobile phone operating system. Specifically, it needed users ...
Case Studies
Leading Social Media Platform Improves Content Relevance with Personalization
The Company A leading social media platform working to keep on top of user demands for more relevant content needs a partner that can provide a geographically and demographically diverse pool of raters, ramp global operations quickly, and meet strict data flow requirements all while working within a complex quality system. The Challenge With the increasing demand from consumers for ...
Case Studies
Leading Search Engine Expands Internationally with Vendor-Neutral Quality Analysts
The Company A leading multilingual search engine provider ready to invest in building out its search engine across 25 markets teamed up with us, thanks to proven track record as a reliable source for quality management and high-quality data. The Challenge A leading multilingual search engine provider had worked with us for a few years on search relevance evaluation. ...
Case Studies
Search Functionality Improved With Search Evaluation From Social Network
The Company A major social network provider looking to improve the search functionality on its site—allowing users to successfully search for people, posts, news, and other items of interest. The Challenge A major social network provider needed to improve the search functionality on its site—allowing users to successfully search for people, posts, news, and other items of interest. The ...
Case Studies
Global Tech Firm Expands into New Markets with Enhanced Speech System
The Company A leading multinational technology company teamed up with us to help develop an automatic speech recognition (ASR) system designed from the ground up to specifically cater to children’s applications. The Challenge You might not be surprised to learn that most speech recognition systems are designed with adult speakers in mind. To date, the nuances and idiosyncrasies of ...
eBooks
How to Create an AI Center of Excellence for Enterprise
Learn why creating an AI Center of Excellence will facilitate increased returns on AI investments. It will likely take time and cycles, tons of training data, algorithms, use cases, and several stakeholders involved in order to uncover its value. Yet it will be worth it as you build momentum for your team and business. Building an AI Center of Excellence ...
eBooks
AIOps for Business Leaders
Over a petabyte of data gets consumed by many companies, but repurposing that high-quality training data for machine learning and artificial intelligence initiatives can be a heavy uplift. This high-quality training data is critical for moving AI and ML algorithms from experiment, all the way to core business. Business leaders are turning to AIOps and professional services to guide the ...
Blog
Top 6 Trends for AI Initiatives Going into 2020
2020 Predictions in Artificial Intelligence to Consider When Operationalizing AI Developments With 2019 hardly fading in the rear-view mirror, it’s a good time to take a step back and see what’s in store for the next 12 months. For those managing and implementing AI and ML projects and deployments, it’s been a rapidly evolving ecosystem, and 2020 will be no ...
Blog
How to Build a Successful Task for the Crowd
I built my first job on Mechanical Turk more than seven years ago. I immediately saw the power of the crowd, but the process was difficult enough that I started CrowdFlower, now Appen, to give people like me a better experience and more accurate results. Since then I’ve created thousands of jobs myself and looked at countless microtasks built by ...
Blog
Appen Recognized in Deloitte’s Technology Fast 50 & 500
Appen Celebrates its Sixth Year of Representation in the Deloitte Technology Fast 50 Australia Awards After an exciting year of growth, Appen has been recognized for the sixth time in the Deloitte Technology Fast 50 Australia Awards. This year marks the second year that we have received recognition in the leadership category. The Leadership category recognizes technology companies who have ...
Blog
AI at Finovate Summit: Beyond the Hype
Traditionally, FinTech companies have been early adopters of new technologies enabling them to maintain their differentiation. Thanks to this, AI and FinTech are a natural match – especially as AI edges into the mainstream of enterprise software. At Appen, we are always looking for product-market fit when it comes to machine learning and data annotation solutions. To find out whether ...
Blog
Data Trends in the Zettabyte Era
Without a well-defined strategy for collecting and structuring the data you need to train, test, and tune your AI systems, you run the risk of delayed projects, not being able to scale appropriately, and ultimately, competitors outpacing you.
Blog
The Latest Innovations in Artificial Intelligence
What are some of the most recent developments in AI? With so many emerging applications for artificial intelligence making a splash across a wide range of industries, it can be difficult to keep up. This post will touch on some cool advances made in 2019 and look at what’s on the horizon. AI takes a deep dive Robotics is a ...
Blog
Artificial Intelligence and Machine Learning Industry News: AI Trends Transforming the Way We Do Business
Organizations should have a reliable source of clean data to extract from and work with.
Blog
O’Reilly San Jose: Creating Autonomy for Social Robots
This year’s O’Reilly AI conference in San Jose, CA delivered the usual mix of exciting presentations and dynamic discussions, as well as a healthy dose of industry networking. Appen is proud to have been given the opportunity to share some recent research at the conference that promises to improve the way robots interact with people. In their presentation Creating Autonomy ...
Blog
Creating Chatbots and Virtual Assistants That Really Work
Chatbots and their more sophisticated counterparts, virtual assistants, have emerged as a key tool to streamline customer service operations for organizations in a wide range of industries, and to help reduce costs.
Webinars
Driving Quality in Your AI Training Data
Learn how you can use best practices to ensure your data is annotated for optimal model performance. Date: On-Demand Time: 30 mins Speakers: Chris Lewis, Director of Quality and Innovation, Appen; Kirsten Gokay, Product Manager, Appen; Michael Lucero, Product Manager, Appen What do biased chatbots, a failed facial recognition system and self-driving car accidents have in common? They were all trained using poor ...
Blog
Appen Around the Globe: Fall 2019 Conference Rundown
Appen’s team of machine learning experts is excited to connect with you this fall. We’ll be exhibiting at industry conferences all over the world in the next few months and would love the opportunity to demonstrate how our high-quality training data can take your organization’s machine learning programs to the next level. Click here to schedule a meeting with the ...
Blog
CVPR 2019: Progress and Challenges in the Field of Computer Vision
The annual Computer Vision & Pattern Recognition conference is packed with insightful presentations and top industry experts. With nearly 10,000 attendees and 1,200 papers, CVPR 2019 in Long Beach, CA was no exception. In this post, we’ll take a brief look at some notable presentations delivered at the conference for solving numerous computer vision and pattern recognition challenges. Data augmentation ...
Case Studies
Wellio Turns Raw Data Sets Into AI Training Data for Nutrition and Cooking
The Company Learn how Wellio leverages the Appen platform to power the first intelligent platform that helps people plan, shop, prepare and enjoy healthy meals at home. Wellio is the first intelligent platform that helps people plan, shop, prepare and enjoy healthy meals at home to support people eating better. Wellio has chosen to help people cook their own meals ...
Blog
Cost-Effective Crowdsourcing Strategies for Dialogue Systems
In a recent paper entitled Optimizing the Design and Cost for Crowdsourced Conversational Utterances, Appen data scientist Phoebe Liu and her team worked to identify cost-effective crowdsourcing strategies for training dialogue systems such as chatbots. Because more industries are adopting chatbot technology for customer service and other key functions, a need has emerged for training these systems as quickly and ...
Blog
How to Solve Common Data Challenges in Conversational Design
When planning the development of a chatbot or virtual assistant, it’s important to begin the conversational design process with a clear data strategy in place. Conversational design requires more than just an understanding of the fundamentals of voice user interface design — you also need to understand how to solve some of the key challenges in data preparation. Working with the ...
Blog
Appen on the Road: Events & Trade Shows this Summer
Appen is gearing up for some of the world’s leading industry events this summer. Our team will be exhibiting at conferences and trade shows around the globe, showing organizations how our services and solutions help develop high-quality training data for machine learning. Planning to attend one of these events? Contact us to set up a meeting with one of our ...
Blog
5 Reasons to Outsource Your Data Annotation Projects
For many organizations, the temptation to annotate data for machine learning (ML) projects in-house is hard to deny. These companies typically feel that using internal resources will help them save time and money by tapping employees who are already on their payroll. Additionally, if their project is highly confidential or of a sensitive nature, they might feel that using internal ...
Blog
Appen Recognized by Translators Without Borders
Appen is pleased to announce that we have received a 2019 Donor Award from Translators Without Borders (TWB). The award is part of TWB’s annual Access to Knowledge award program, which honors individuals and organizations who donate their time, passion, and skills to make sure people around the world have access to knowledge in a language and format they understand. ...
Blog
Insights from the International Conference on Acoustics, Speech, and Signal Processing
Appen recently sponsored the IEEE International Conference on Acoustics, Speech, and Signal Processing (iCASSP) in Brighton. Our VP of Business Development in Europe, Dorota Iskra, shares some insights from her experience there. With an extensive background in speech and language technology, Dorota holds a PhD in Computer Science and Speech Recognition from the University of Birmingham. After focusing on the ...
Blog
Appen Becomes Leading Language Service Provider; Maintains Leading Position in APAC
Appen is excited to announce our official ranking as one of the largest language service providers (LSPs) in the global translation and interpreting industry. Issued May 2019 by independent market research firm Common Sense Advisory (CSA Research), “The Fastest-Growing LSPs: 2019” ranked Appen as a top-grossing LSP in the US$46.52 billion global market for outsourced language services and technology. Appen’s ...
Webinars
How to Secure Your Data for AI
Date: On-Demand Time: 30 minutes Presenters: Jesse Washburn, Data Protection Officer (Appen) Meeta Dash, Director of Product Management (Appen) Hilary Shirey, Senior Project Manager (Appen) Alanna Olicker, Program Manager (Appen) With any data annotation project, data security is imperative. What are the security requirements that need to be considered? For many companies, confidence that the data is secure, particularly when it includes ...
Whitepapers
The 2020 State of AI and Machine Learning Report
The 2020 State of AI and Machine Learning report illustrates the current state of artificial intelligence and machine learning, showcasing where the industry is as a whole in 2020 compared to 2019. The 2020 report is the output of a cross-industry, large-organization study of senior business leaders and technologists. It details where organizations are within the AI journey and provides ...
Blog
Improving the Accuracy of Automatic Speech Recognition Models for Broadcast News
There is still a gap to close between human and machine performance, demonstrating a continued need for research on automatic transcription for broadcast news. Appen is ready to make your speech recognition project a success.
Blog
How to Create Training Data for Computer Vision Use Cases
For simple computer vision projects, such as recognizing a pattern in a group of images, publicly available image datasets will usually suffice to train your machine learning models. But for more complex CV applications, how can you get the vast amounts of training data you need to create an accurate solution? In this post, we explain training data requirements for ...
Blog
Solving ML Training Data Challenges at Google Cloud Next
Appen recently exhibited at Google Cloud Next in San Francisco, our first event with our new colleagues from Figure Eight. Joining over 30,000 developers, product managers, data scientists, and more, we spent three days networking, learning, and problem solving. The event covered diverse topics ranging from data analytics and DevOps to networking, security, and storage. But we on the Appen ...
Blog
Computer Vision vs. Machine Vision — What’s the Difference?
Artificial Intelligence is an umbrella term that covers several specific technologies. In this post, we will explore machine vision (MV) and computer vision (CV). They both involve the ingestion and interpretation of visual inputs, so it’s important to understand the strengths, limitations, and best use case scenarios of these overlapping technologies. Researchers began developing computer-enabled vision technologies as early as ...
Webinars
Making AI Work in the Real World
Date: On-Demand Speaker: Alyssa Simpson Rochwerger, VP of AI & Data, Appen If you’ve read your fair share of tech press, you’ve certainly been exposed to breathless forecasts about the promise and power of artificial intelligence. The thing is, a lot of those articles are light on detail or focus too heavily on algorithms and not on business value. In ...
Blog
RE·WORK’s Q&A with Wilson Pang, CTO of Appen
This week, Appen is exhibiting at RE•WORK’s Deep Learning in Finance Summit in London. The summit helps business leaders, data scientists, and engineers discover advances in AI & machine learning tools and techniques from the world’s leading innovators across the financial sector. RE•WORK spoke with Appen CTO Wilson Pang to learn about his current work, the challenges of implementing AI, ...
Blog
Why Human-Annotated Data is Key to Machine Learning: Three Use Cases
Machine learning requires high volumes of data for training, validation, and testing. A machine learning model learns to find patterns in the input that is fed to it. This input is referred to as training data. As you train your solution to form relationships between variables, it’s important to have the right data, structured in the right format, covering all ...
Blog
What New Jobs Will AI Create?
The boom in deep learning technologies such as Artificial Intelligence (AI) and Machine Learning (ML) can cause varying degrees of excitement or anxiety — largely depending on how you earn your paycheck. Advances in this field are creating exciting opportunities for companies seeking to maximize efficiency and quality, while minimizing costs traditionally associated with a mostly-human workforce. In manufacturing, implementation ...
Blog
Want to Build a Better Computer Vision System? Give it the Right Training Data.
For a company to build a comprehensive dataset of annotated images takes considerable time and resources. Outsourcing the data collection and annotation efforts can help companies scale quickly.
Blog
Appen’s Top Five Blog Posts from 2018
2018 was an exciting year here at Appen. We expanded into nine offices worldwide, and our global crowd of skilled annotators has grown to over 1 million people, working in over 130 countries and 180 languages. Our readers subscribe to Appen’s blog to stay on top of machine learning use cases, industry news, and best practices for getting high-quality training ...
Blog
Recent AI Developments in China
China is now a leading global hub for AI development. Startups and major tech companies like Baidu, Alibaba, Tencent, and DiDi Chuxing are developing cutting edge products, solutions, and services using artificial intelligence. The AI market in China is massive. China’s AI Development Report 2018, a study from Tsinghua University, says, “The market value of China’s AI industry reached 23.7 ...
Blog
Executive Insights from AI Summit NYC
At the 2018 AI Summit in New York City, we heard from a panel of executives representing multiple organizations across the AI ecosystem, including our own Mark Brayan, CEO of Appen. The panelists shared their perspectives on the usage of AI in different organizations, issues that need to be addressed, and what the future holds. Perspectives on AI Applications Clayton ...
Blog
Appen Recognized in the 2018 Deloitte Technology Fast 50 Australia Awards for Leadership
Following 102% growth in annual revenue from the previous year, Appen celebrates our fifth year of recognition in the Deloitte Technology Fast 50 Australia Awards. In 2018, Appen was newly awarded in the Leadership category, which recognizes technology companies who have generated cumulative operating revenues greater than $50M. “It’s an honor to receive this award from Deloitte.” said Mark Brayan, ...
Blog
Machine Learning is Here to Stay
Welcome to the fourth industrial revolution—a world where artificial intelligence (AI) drives today’s technological disruption, blurring the lines between tangible and digital realities. Companies continue to shift toward AI and machine learning (ML) processes, and business leaders are quickly realizing the potential gains from investing in them. These gains include faster, smarter automation, predictive analytics, and new-and-improved ways to establish ...
Blog
Appen Founders Nominated For 2018 Innovation Award
We are excited to share that Appen founders Chris and Dr. Julie Vonwiller have been nominated for the 2018 Innovation Awards sponsored by GQ Australia!
Blog
Artificial Intelligence and Machine Learning Industry News: AI in Retail, Interactive Vending Machines, and Voice Recognition
In this edition of our roundup, news on: AI in Retail, Interactive Vending Machines, and Voice Recognition.
Blog
Artificial Intelligence and Machine Learning Industry News: London Metropolitan Police, MIT Drug Research, and AI Art at Auction
In this edition of our roundup, news on: London Metropolitan Police, MIT Drug Research, and AI Art at Auction.
Case Studies
Maps Faster Than Ever: HERE Technologies Creates Fine Tune Maps
The Company HERE Technologies powers mapping, navigation, and location solutions for enterprise customers. Their mission is to create a digital representation of reality to radically improve the way everyone and everything lives, moves, and interacts. Their maps, data, and products power solutions for self-driving cars, truck fleets, logistics, government, and many more. With a goal of creating three dimensional maps that ...
Blog
Insights From O’Reilly Media’s Artificial Intelligence 2018 Conference
Appen exhibited at the September 5–7 O’Reilly Media Artificial Intelligence 2018 conference in San Francisco to showcase its high-quality data services. The event hosts industry experts and features case studies about the future of artificial intelligence and machine learning. The Appen team attended a variety of sessions at The AI Conference, San Francisco including: Have we reached peak human? The ...
Blog
Investing in AI: The Time is Now
According to industry research firm TechEmergence, Artificial Intelligence (AI) technology will have the single most radical, transformational impact on business and society. AI is driving the fourth industrial revolution or 4IR—the newest industrial era, which is characterized by emerging technological disruption and increasingly blurred lines between the physical and digital worlds. Organizations are rapidly exploring the business gains that can ...
Blog
Artificial Intelligence and Machine Learning Industry News: Robot Hands, Google Glass, and AI in China
In this inaugural edition of our roundup, news on: robotic hands, Google Glass, and AI in China.
Webinars
Getting Started with the Appen Platform
Date: On-Demand Curious about how the Appen platform can help make your data useful? Join our webinar to learn what kind of results you can get for your business, see what it’s like to set up a job on the platform, and hear helpful tips from our team. In this webinar, we will: Explore use cases Create and launch a ...
Blog
Meet Us on the Road in September!
It’s shaping up to be a busy September for the Appen team as we will be participating in a variety of industry events around the world, sharing how we can help firms improve their machine learning training data. Planning to attend one of these events? Contact us to set up a meeting with one of our experts, or stop by ...
Blog
Machine Learning Adoption by Industry: A Q&A with Stephen Woodard
As artificial intelligence and machine learning become a greater part of the business landscape, it’s interesting to see how different vertical industries are putting it to use. How does healthcare compare to the technology sector? Do geography and location play a role? To answer some of these questions, I caught up with our own Stephen Woodard from our business development ...
Blog
Why Data Governance is Vital for AI and ML
The Internet of Things (IoT) is a prime example that highlights why the quality and quantity of data are both critical for successful machine learning (ML) and artificial intelligence (AI) initiatives.
Blog
Key Considerations; Getting Started With Machine Learning
When implementing any strategic initiative, it’s important for organizations to build a considered plan upfront taking in a number of variables. This principle certainly holds true in the fast emerging areas of artificial intelligence (AI) and machine learning (ML).
Blog
Appen Recognized Among Largest Language Service Providers in the World
We are excited to announce our official ranking as one of the largest language service providers (LSPs) in the global translation and interpreting industry.
Case Studies
Dialpad Creates Data That Powers ML Models for Human Conversation at Scale
The Company Dialpad improves conversations with data. They collect telephonic audio, transcribe those dialogs with in-house speech recognition models, and use natural language processing algorithms to comprehend every conversation. They use this universe of one-on-one conversation to identify what each rep–and the company at large–is doing well and what they aren’t, all with the goal of making every call a ...
Blog
AI Use Cases; Which Can Have the Most Impact on Your Business?
With all the hype around AI, how can organizations determine where best to apply the technology?
Blog
The Benefits of Artificial Intelligence are Enhancing the Business Landscape
The unstoppable march of Artificial Intelligence (AI) and machine learning is already touching our lives in so many ways. But its effects have only just begun to take hold.
Blog
Great Machine Learning Data: It’s Not About Quantity or Quality — It’s About Both
To build a successful solution, you need the right data – and a lot of it.
Blog
Breaking New Ground in Online Customer Experiences: Flamingo AI and Appen
Low online sales conversion rates. Inefficient customer service. These are the problems Flamingo is solving with its game-changing machine learning technology focused on the field of conversational commerce. Using Appen and Amazon Web Services to power its virtual-assistant platforms, the machine learning company now creates better online experiences and enables conversational commerce for financial ...
Webinars
Combining Human Intelligence with Machine Learning for NLP and Speech
Date: On-Demand Time: 1 hour Executing successful Natural Language Processing (NLP) and Speech projects in the real world is complicated. It is often difficult to find the right volume of raw data to annotate, especially if some categories/words/topics are very rare in the data. It is also difficult to find and manage the right people to annotate, transcribe or create the ...
Blog
Insights from AI NextCon 2018: How LinkedIn Uses AI to Optimize the User Experience
When it comes to building its AI platform, the LinkedIn team’s goal has been to make end-to-end machine learning easy, fast, robust and automatic.
Blog
Meet Up with Us at these Upcoming Spring Events
We’ll be on the road this Spring exhibiting at leading industry events around the world, talking with firms that are looking to improve their data for machine learning. Planning to attend one of these events? Contact us to set up a meeting or stop by our booth to learn how Appen can help you optimize your machine learning algorithms with high-quality, ...
Blog
Recent Developments in Neural Networks
What are neural networks and deep learning? An artificial neural network is a computer simulation that attempts to model the processes of the human brain in order to imitate the way in which it learns. Such systems essentially teach themselves by considering examples, generally without task-specific programming by humans, and then use a corrective feedback loop to improve their performance. This ...
Blog
Insights from Conversational Interaction 2018: NLP, Chatbots, and Comedians
Prithivi Pradeep, Appen VP of Business Development, and I recently attended Conversational Interaction in San Jose, CA. The conference provides companies and individuals a great opportunity to share and learn about the resources and knowledge that allow them to embrace AI. The importance of Artificial Intelligence technology has been emphasized by influential corporate executives and thoughtful analysts alike. Conversational interfaces are a major ...
Blog
5 Machine Learning Use Cases that are Making a Difference in the Business World
Companies that are using machine learning are starting to reap the rewards and transform the way they do business. Machine learning is allowing businesses to optimize operations, deliver better customer experiences, enhance security and more. As enterprises race to stand out from the competition and do more with the same resources, machine learning is becoming an important investment. Here are ...
Blog
Global Tech Firm Reaches New Markets with Enhanced Child Speech System
When designing a voice recognition system, it’s important that the speech system understands everyone speaking to it. But what happens when a speech recognition system doesn’t account for children’s speech? Most speech recognition platforms are only designed with adults in mind. Child speech is very different than adult speech, and not all speech recognition devices are well-equipped to deal with ...
Blog
Appen Wraps Up 2017 with Deloitte Technology Fast 500 Award
Appen won two high-profile awards in December 2017: the Deloitte Asia Pacific Technology Fast 500 award and the Deloitte Technology Fast 50 Australia award! “Deloitte is highly respected, and it’s an honor to receive this recognition.” said Mark Brayan, Appen CEO. “These awards highlight our role in the ever-growing artificial intelligence and machine learning markets. We’re excited to continue to ...
Blog
Meet Up with Us at Upcoming Events
We’ll be on the road in January, February and March sharing our high-quality data expertise. Planning to attend one of these events and interested in speaking with our team? Contact us to set up a meeting, attend our speaking engagement, or stop by our booth to learn how Appen can help you optimize your machine learning algorithms with high-quality data. Conversational ...
Blog
Creating Structured Data for Machine Learning at Appen
Tammy Garves and Phil Hall are Appen’s Senior Vice Presidents, the counterparts at the helm of the two main divisions of our company. Tammy leads our Content Relevance team. Phil heads up Language Resources. We caught up with them recently to talk about the need for structured data for machine learning. They also touch on industry trends, predictions, and why ...
Blog
Insights from Crowdsourcing Week 2017 | Microsoft Discusses the Secret to Successful AI
Crowdsourcing - best practices and innovation learned at Crowdsourcing Week (CSW) 2017 in Seattle.
Blog
Meet Us on the Road in November
This November, we’re making stops on both coasts to share our high-quality data expertise. Planning to attend one of these events and interested in speaking with our team? Contact us to set up a meeting, or stop by our booth to learn how Appen can help you solve your data challenges. Open Data Science Conference – November 3-4, Hyatt Regency ...
Blog
New Discoveries: Pashto Language and Intonation Patterns
Last month, I presented cutting-edge research on the Pashto language, which is a language from Afghanistan and Pakistan, at Interspeech in Stockholm. The paper, titled Pashto Intonation Patterns, was co-written with Appen’s Director of Linguistic Services, Judith Bishop, and Senior Linguistic Project Manager, Mim Corris. It was based on data used in a project that began in Autumn 2014 and ...
Blog
Why does human-annotated data matter for search? Learn at Lucene/Solr Revolution
Search is a critical component of any effective website or application, connecting users to the data they need to make decisions, whether it’s to find documents, do research or complete an online purchase. Modern search engines have evolved significantly in the past 5 years, incorporating machine learning and artificial intelligence techniques in all aspects of document and query processing, as ...
Blog
AI Requires a Human Touch: How Appen Recruits Crowds to Improve Technology
Kerri Reynolds, Sr. VP of Human Resources and Crowdsourcing, shares insights into crowdsourcing and crowd recruiting.
Blog
Improving Local Search Results for Enhanced User Experience
When a search engine provider needed to keep up with business listing demand, it turned to Appen to ensure accuracy.
Blog
Local Knowledge Provides Enhanced Accuracy for Mobile Maps
Accuracy is the key to success for navigation applications. Appen developed a highly efficient testing system to improve directions for mobile maps.
Blog
Delivering Personalization to a Global Market
Consumers want more relevant content. Appen helped a company improve the personalization of its news feed and deliver to their global user base.
Blog
Sourcing In-market Expertise for Software Localization
A software provider required a Common Locale Data Repository software update. Appen helped provide the in-market knowledge for 66 new markets.
Blog
Improving Natural Language Recognition for Leading Social Media Firm
A leading social media company needed large amounts of data to improve machine learning. Appen helped them secure the data needed to enhance the model. Read more.
Blog
Improving Search Quality for Microsoft Bing in Multiple Markets
Improving results of the Bing search engine requires improving algorithms. Appen provides data collection support to optimize performance.
Blog
Appen Propels Social Network Growth
A major social network provider needed to improve search functionality. Appen helped the provider improve data quality and support project demands quickly.
Blog
Appen Gears Up for Big Presence at Interspeech 2017
Appen to present research on speech recognition, speaker comparisons, and Pashto speech data at this year's Interspeech conference.
Blog
Empowering a Community and Enabling Linguistic Research
Through a partnership with ARC Centre of Excellence for the Dynamics of Language (CoEDL), Appen linguists focus on enabling linguistic research.
Blog
Supporting the Artificial Intelligence Market in China: Appen Office in Bejing
Appen's newly opened office in Beijing will help build a presence within the Chinese technology market and further develop local capability.
Blog
Insights from Chief Data Officer Summit 2018: Delivering a Superior Customer Experience with Data
Companies are looking for answers on how to integrate data to create a superior customer experience for their product.
Blog
Appen’s Growth Fueled by Tech Trends and Executive Leadership
Appen's growth trajectory has kept pace with a flourishing tech industry, fueled by the latest tech trends and executive leadership. Read more.
Blog
Insights from Big Data Innovation Summit 2017: Six Steps to Harness Unstructured Data
Organizations may be struggling with where to begin with machine learning when they consider the vast amounts of unstructured data they produce.
Blog
How Structured Data Leads to Higher Ad Revenue
A leading search engine provider needed to know whether their ads were performing. The provider turned to Appen to accurately measure and optimize results. Read case study.
Blog
Working with Children: Helping Machines Understand Child Speech
Children speak very differently to adults – and not all speech recognition devices are well equipped to deal with this.
Blog
Supplying the Fuel for Advanced Language Technology
Machine learning techniques are used in many advanced language technologies, and Appen supplies the "fuel" for building and improving them.
Blog
Insights from LocWorld China 2017 | Data is Key
Key takeaways from this year's LocWorld China, one of the leading conferences for translation, localization and global website management.
Blog
When Speech Recognition Goes Wrong
Even the best speech recognition isn't 100% accurate. And when things go wrong, the errors can be glaring, if not occasionally entertaining.
Blog
NLP Strategy | Insights from Conversational Interaction Conference 2017
While every enterprise has a Big Data strategy, few have an Natural Language Processing (NLP) data strategy. Do you?
Blog
Going Global: The Value of Local Market Research & Resources
Companies entering multiple markets can create better customer experiences using in-market resources for testing, data collection and more.
Blog
Insights from AI Frontiers Conference 2017 | Trends in AI
Autonomous Driving, Natural Language Processing and Deep Learning were key topics at this year's AI Frontiers Conference.
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The Hunt for Human Speech Data
How can we improve voice activated devices’ abilities to better understand and communicate with us? Human speech data, terabytes of it.
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Insights from AI World 2016 | Top Takeaways
While the concept of AI is not new, the technology is experiencing a rebirth in the form of machine learning and cognitive computing.
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Appen Struck Gold; Language Services with MMG Acquisition
Language services & technology company Appen announced on October 4, 2016 the acquisition of UK-based transcription provider Mendip Media Group.
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Making AI work for your business
When it comes to the future of doing business, AI and machine learning are the hottest topics around. For all the discussion of AI’s promise, though, something is still lacking — straightforward information about how to make AI work for you. If you approach your solution in the wrong way your results won’t make sense, but if you go about ...
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Crowdsourced Data: When to Use Curated Crowds vs. Crowdsourcing
“When should I use crowdsourcing and when should I use a managed crowd?” Find out which is best for you human annotated data needs.
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Appen and Best Doctors Partnering in the IBM Watson Ecosystem
Appen and Best Doctors announce partnership through IBM Watson Ecosystem to enhance Best Doctors knowledge base of medical information.
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7 Advances That Are Pushing the Boundaries of Computer Vision
Before we can think critically about computer vision, we need to take a moment to appreciate our own human vision system. Just think what we have been able to do in our lives as humans with eyeballs! We have analyzed, sorted, made sense of arbitrary objects in arbitrary situations, effortlessly tracked the movement of things, recalled perfect 3D models of ...
