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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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What is AutoML?
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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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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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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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What is Training Data?
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Five AI Market Trends for 2021: Shifting Approaches to Data, Use Cases, and More
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What is Data Annotation?
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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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Machine Vision vs. Computer Vision — What’s the Difference?
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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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Response: Concerns regarding contractor onboarding
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What is Human-in-the-Loop Machine Learning?
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What is LiDAR?
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Spelling Standardization: How Many Ways Can You Spell a Word?
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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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Video Annotation: What Is It and How Automation Can Help
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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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The Four Key Challenges of AI in Financial Services
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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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How to Approach Data Collection for Conversational AI Agents
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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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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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How Off-the-Shelf Training Datasets Can Save Your ML Teams Time and Money
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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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Train AI Summit 2020: Speakers and Sessions Announced
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What Does Interoperability Mean for the Future of Machine Learning?
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Is Your Organization AI-Ready?
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What is AIOps?
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Common Sense AI: Making Deep Learning Technologies More Human
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AI in E-commerce
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The Role of Quality Assurance in Artificial Intelligence
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Appen Machine Learning FAQ
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How Artificial Intelligence is Reshaping Financial Services
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AI in Banking Operations
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Appen Offers Fully Integrated Figure Eight Solution
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Crowd Survey Reveals How Appen Platform Helps During Global Pandemic
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Crowd’s Collective Wisdom vs. Experts: Who Makes IBM Watson Smarter?
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Improving Your Search Relevance Algorithm With Human Curated Data
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How do you map out a conversation you haven’t even had yet?
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How Artificial Intelligence Will Reshape the Auto Industry in an Experience-First World
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Working In The Future: Embracing Work from Home
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COVID-19 Update; Our Customers, Partners, Employees, and Crowd
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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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Appen Recognized in Deloitte’s Technology Fast 50 & 500
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AI at Finovate Summit: Beyond the Hype
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How a Driverless Future Will Impact All of Us
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Data Trends in the Zettabyte Era
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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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Artificial Intelligence and Machine Learning Industry News: AI Trends Transforming the Way We Do Business
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O’Reilly San Jose: Creating Autonomy for Social Robots
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Creating Chatbots and Virtual Assistants That Really Work
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Appen Around the Globe: Fall 2019 Conference Rundown
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CVPR 2019: Progress and Challenges in the Field of Computer Vision
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Cost-Effective Crowdsourcing Strategies for Dialogue Systems
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How to Solve Common Data Challenges in Conversational Design
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Appen on the Road: Events & Trade Shows this Summer
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5 Reasons to Outsource Your Data Annotation Projects
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Appen Recognized by Translators Without Borders
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Three of the Most Innovative Automotive AI Applications at AutoSens Detroit
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Insights from the International Conference on Acoustics, Speech, and Signal Processing
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Appen Becomes Leading Language Service Provider; Maintains Leading Position in APAC
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How to Remove Bias in Training Data
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How a Tier 1 Automotive Software Provider Creates Smarter, More Natural In-Car Infotainment Systems
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Using AI to Transform the Banking Experience
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Improving the Accuracy of Automatic Speech Recognition Models for Broadcast News
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How a Top Automotive OEM Localizes Its In-Car Experience with Appen
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How to Create Training Data for Computer Vision Use Cases
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Solving ML Training Data Challenges at Google Cloud Next
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How Deep Learning is Transforming the Insurance Industry
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RE·WORK’s Q&A with Wilson Pang, CTO of Appen
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Why Human-Annotated Data is Key to Machine Learning: Three Use Cases
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What New Jobs Will AI Create?
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Want to Build a Better Computer Vision System? Give it the Right Training Data.
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Appen’s Top Five Blog Posts from 2018
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Recent AI Developments in China
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Executive Insights from AI Summit NYC
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Announcing the Launch of Appen’s New China Website
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How AI Is Driving Innovation In eCommerce And Retail
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Appen Recognized in the 2018 Deloitte Technology Fast 50 Australia Awards for Leadership
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