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Whitepapers – 2019

AI-Trends-Whitepapers–2019

How to Develop a Training Data Strategy for Machine Learning

Our white paper covers important elements for a successful machine learning training data strategy including: Budgeting. Learn about the investment required to get your...

AI-Enabled Enterprise Is Closer Than You Think

By 2019, 40% of digital transformation (DX) initiatives will be supported by cognitive/AI capabilities. AI is poised to transform next-generation IT across the enterprise....

AI as a Brand Differentiator: How Consumer Views of AI are Shaping the Customer...

More than any other space, customer care, and indeed all customer interactions, are being impacted by the advancement of AI technology. From chatbots to...

A Blueprint For Preparing Your Own ML Training Data

For teams that are considering DIY training data, we have created a downloadable blueprint. It lays out the tools, people and skills required to...

Autonomous Cyber Defense: AI and the Immune System Approach

Discover why autonomous response and machine learning is the future of defense and how the ‘immune system’ approach to cyber security provides complete network...

Crowd vs. Managed Team: A Study on Quality Data Processing at Scale

Whether you’re training machine learning algorithms or using traditional analysis techniques, the quality of your data determines performance. Data science tech developer Hivemind enlisted...

Governor Michael Dukakis Discusses Ethics in AI with Barry Nolan

AI & Ethics: Governor Michael Dukakis Discusses Ethics in AI with Barry Nolan

Introducing Fractal: An Alternative Route to Machine Learning Presentation

A question and answer session with Seth Adler, Editor in Chief, AI & Intelligent Automation Network (interviewer) and Govind Sandhu, Co-Founder and CFO, AntWorks...