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The Rise in Computer Vision Datasets & How It Benefits Organizations
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Top 5 Predictions About the Future of AI and Data
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What are Managed Services in AI?
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Automotive
Content Relevance: All You Need To Know About Serving Relevant Content To Your Customers
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What is Synthetic Data?
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Natural Language Processing – Connecting The World through Language With AI
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What is Automatic Speech Recognition?
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What is Active Learning?
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25 Year Anniversary
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Data Labeling Tools: How to Level up Your Process
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Augmented and Virtual Reality AI Data: Powering the Next Big Thing
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Navigating the World of Machine Learning Datasets: Where to Find the Best Machine Learning Datasets
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What is Sensor Fusion?
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What is Audio Transcription?
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What is Human-centered AI?
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What are Data Collection Solutions?
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The Basics of Small Data: Actionable Data Provide a New Path Forward in AI
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Verbatim vs. Intelligent Verbatim: Which Transcript Style to Choose, and When
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Data Science and Machine Learning Automation: What to Know About the State of Automation in AI
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Navigating the Transcription Process
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Don’t Start from Scratch When Building Machine Learning Models
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The Role of Data in Responsible AI: Data Decisions that Shape the Future of Ethical AI
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What is Optical Character Recognition?
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eBooks
The Essential Guide to Training Data for AI and ML
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What is AutoML?
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Where eBay Went Right—and Wrong—With AI: What You Measure Matters
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The Current State of AI 2021: Report Now Available
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Types of Errors We See with Training Data: How to Recognize and Avoid Common Data Error
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Responsible AI Across the Value Chain: Ethical Approaches to AI from Data to Deployment—and Beyond
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Five AI Market Trends for 2021: Shifting Approaches to Data, Use Cases, and More
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How To Choose the Right Provider for Your Official Record Transcripts
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What is Data Labeling?
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How to Get Started: Building Trustworthy AI in the European Union
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How to Reduce Bias in AI
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Overcoming AI Deployment Challenges
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3 Things Business Decision-Makers Must Do to Create Better AI
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What is Text Annotation in Machine Learning?
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Secure Transcription Services for Sensitive Data
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AI in Police Work
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The Value of AI: Exploring Opportunities and Challenges in AI Technology
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What is LiDAR?
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You Can’t Just Use AI – You Must Lead With AI
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An Introduction to Audio, Speech, and Language Processing
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To Launch AI Successfully, Be Prepared to Scale
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AI Data Acquisition and Governance
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Four Tips to Pick Your Goldilocks Problem for AI
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ML Techniques: Active Learning vs Weak Supervision
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Case Studies
London School of Economics Takes Agile Approach to Data Labeling with Appen
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Blog
Video Annotation: What Is It and How Automation Can Help
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Case Studies
CallMiner Delivers Fast and Accurate Customer Insights with Large-Scale Annotation Solution
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Data Sheets
Appen’s Computer Vision Expertise
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Data Sheets
Natural Language Processing & Speech Technology at Appen
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Blog
AI Model Maintenance: A Guide to Managing a Model Post-Production
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What is AI-Powered Search Relevance?
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What Is Image Annotation and How Is It Used To Build AI Models?
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Leveraging AI and Machine Learning for Content Moderation
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Case Studies
MediaInterface Expands to France With Off-the-Shelf Datasets
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The Four Key Challenges of AI in Financial Services
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eBooks
Responsible AI from Pilot to Production
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Where to Focus Artificial Intelligence Investments in Financial Services
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AI Ethics: The Guide to Building Responsible AI
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Comprehensive Data Pipelines for Automotive AI Deployments
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How to Build Successful Computer Vision Applications
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Five Challenges of Artificial Intelligence for Automotive Applications
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AI and Data Protection: Certifications and Regulations
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Webinars
Building the Road to the Future with Training Data for Autonomous Vehicles
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How to Deploy AI with Confidence
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What is Computer Vision?
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Conversational AI: Making Smarter and More Scalable Models
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Where to Focus Automotive Artificial Intelligence Investments Part Two: Out-of-Car Experience
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Should You Build or Buy a Data Annotation Tool?
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Where to Focus Automotive AI Investments: In-Cabin Experience
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What is Natural Language Processing?
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Whitepapers
Driving ROI Through AI
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Press Releases
Appen Partners with World Economic Forum to Create Responsible AI Standards
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Is Your Organization AI-Ready?
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What is AIOps?
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AI in E-commerce
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The Role of Quality Assurance in Artificial Intelligence
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Case Studies
Allen Institute for AI Enhanced Research Experience to Scholars
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Press Releases
Appen’s Annual State of AI Report Finds Skyrocketing C-Suite Involvement, Surging Investment
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Webinars
Embracing Responsible AI from Pilot to Production
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How Artificial Intelligence is Reshaping Financial Services
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AI in Banking Operations
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eBooks
AI Solutions for Financial Services
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Appen Offers Fully Integrated Figure Eight Solution
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Case Studies
Improved Quality and Increased Output of Data Insights With Zefr
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Crowd’s Collective Wisdom vs. Experts: Who Makes IBM Watson Smarter?
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How Artificial Intelligence Will Reshape the Auto Industry in an Experience-First World
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eBooks
How to Create an AI Center of Excellence for Enterprise
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eBooks
AI Solutions for Automotive
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Top 6 Trends for AI Initiatives Going into 2020
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How to Build a Successful Task for the Crowd
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AI at Finovate Summit: Beyond the Hype
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Artificial Intelligence and Machine Learning Industry News: AI in Patient Care and Operations, AI as a Preventive Tool, and How Major Hospitals are Already Using AI
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The Latest Innovations in Artificial Intelligence
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Case Studies
Tier 1 Automotive Software Provider Creates Smarter In-Car Infotainment Systems
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Whitepapers
The 2021 State of AI and Machine Learning Report
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Blog
Using AI to Transform the Banking Experience
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What New Jobs Will AI Create?
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Appen’s Top Five Blog Posts from 2018
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Executive Insights from AI Summit NYC
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How AI Is Driving Innovation In eCommerce And Retail
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Machine Learning is Here to Stay
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Artificial Intelligence and Machine Learning Industry News: London Metropolitan Police, MIT Drug Research, and AI Art at Auction
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Insights From O’Reilly Media’s Artificial Intelligence 2018 Conference
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How GuildLink Uses Text-to-Speech Translation to Make Consumer Medicines Information More Accessible
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Investing in AI: The Time is Now
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Machine Learning Adoption by Industry: A Q&A with Stephen Woodard
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Where Retailers Should Invest in AI
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Key Considerations; Getting Started With Machine Learning
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