Figure Eight Federal David Poirier

Figure Eight Federal Welcomes New Senior Vice President to Grow Government Partnerships

The Figure Eight Federal platform offers high-quality machine learning training data at massive scale for government agencies WASHINGTON D.C – April 23, 2020 – Figure Eight Federal, part of Appen Limited, welcomes David J. Poirier as Senior Vice President. David will be leading the growth of the firm’s partnerships with U.S. government agencies, including the Department of Defense and the …

appen fully integrates figure eight

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 …

Zefr Case Study

Improved Quality and Increased Output of Data Insights With Zefr

The Company With the endless expansion of the digital content universe and growth of video advertising, many companies are leveraging contextual targeting to place ads alongside relevant content, as opposed to targeting ads based on user data. Zefr bridges the gap between the vast amounts of content out there, and companies seeking more nuanced contextual advertising solutions. Zefr’s technology platform …

What is Training data?

What is Training Data?

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 training data has as much to do with the success of your data project as the algorithms themselves. Now, …

work from home contributor

Crowd Survey Reveals How Appen Platform Helps During Global Pandemic

COVID-19 Impact Stories from Our One Million Crowd  As we continue to provide access to projects for contributors working from home during the pandemic, we asked our global crowd what impact COVID-19 has had on them and how they are holding up during these challenging times of social distancing and quarantine. The 3,000 of responses returned overnight were filled with raw emotion – pointed personal stories, ranging from painful and difficult to hopeful and heartwarming. They reminded us that …

Appen & Shotzr

Speeds Up Identifying Which Images Need Location Metadata With Shotzr

For us, a big part of the challenge of making machine learning practical has been shrinking the cycle time between idea and production. We knew we were making progress when we could rapidly rebalance our training data and integrate feedback from our ML team into the process. The iterative cycle sped up dramatically, and we could move our models from …

GumGum case study

GumGum Finds A Better Way to Annotate and Classify Text and Images

The Company GumGum is an artificial intelligence (AI) company with a focus on computer vision (CV) and natural language processing (NLP). For the past 10 years, it has applied its patented capabilities to solving hard problems in a variety of industries, from professional sports to healthcare, but the company built its name with solutions for the digital advertising industry. It …

FlamingoAI case study

FlamingoAI Deploys a Fully Automated Virtual Assistant From Day One

The Company Low online sales conversion rates. Inefficient customer service. These are the problems FlamingoAI is solving with its game-changing technology. With our training data powering its virtual-assistant platforms, the machine learning company now creates better online experiences for its financial and insurance-industry clients—and their customers. “With our platform, consumers get to have these conversations in natural language.” –Dr. Jack …

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 …

Improving Your Search Relevance Algorithm With Human Curated Data

In our previous post, we outlined the difference between Click Data and Human Curated Data metrics. Today, we’ll dig into the deeper use cases that require human curated data in particular. Why You Need Human Curated Data Tapping individual contributors to evaluate search results allows you to get explicit relevance judgments, which is a higher quality metric to optimize for …

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 …

Training Data Guide

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. …

consumer experience AI for automotive

How Artificial Intelligence Will Reshape the Auto Industry in an Experience-First World

Consumer-Experience AI for Automotive  Artificial intelligence’s impact continues to expand rapidly across all major industries, with companies around the globe investing heavily in AI technologies to advance their competitive edge. Future trends suggest that without adopting an AI strategy now, organizations are likely to fall far behind their competitors. When implemented correctly, AI and machine learning (ML) will deliver wide-sweeping …