The AI in Business Podcast is for non-technical business leaders who need to find AI opportunities, align AI capabilities with strategy, and deliver ROI. Each week, Emerj AI Research CEO Daniel Faggella and team interview top AI executives from Fortune 2000 firms and unicorn startups - uncovering trends, use-cases, and best practices for practical AI adoption. Visit our advertising page to learn more about reaching our executive audience of Fortune 2000 AI adopters: https://emerj.com/advertise

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Title Date published
How Recommendation Engines Actually Work - Strategies and Principles 2018-08-19
What Executives Should be Asking about AI Use-Cases in Business 2018-08-15
NLP for Text Summarization and Team Communication 2018-08-12
How to Determine the Best Artificial Intelligence Application Areas in Your Business 2018-08-03
The Financial ROI of AI Hardware - Top-Line and Bottom-Line Impact 2018-07-30
The Future of Advertising and Machine Learning - Audience Targeting, Reach, and More 2018-07-29
How Existing Businesses Should Organize Their Data Assets for AI 2018-07-22
White Collar Automation in Healthcare - What's Possible Today? 2018-07-15
Using NLP for Customer Feedback in Automotive, Banking, and More 2018-07-08
Can Businesses Use "Emotional" Artificial Intelligence? 2018-06-30
Improving Customer Experience with AI, Gaining Quantifiable Insight at Scale 2018-06-28
Better Than Elasticsearch? How Machine Learning is Improving Online Search 2018-06-24
AI Use-Cases for the Future of Real Estate 2018-06-15
High Performance Computing in Artificial Intelligence Applications with Paul Martino from Bullpen Capital 2018-06-11
Machine Learning for Credit Risk - What's Changing, and What Does it Mean? 2018-06-03
Applications of Machine Vision in Heavy Industry 2018-05-18
Artificial Intelligence for Personalization in Marketing - Current and Future Possibilities 2018-05-13
Will Artificial Intelligence Become Easier to Use? 2018-05-06
How to Apply AI to an Existing Business with Larry Lafferty 2018-04-29
Will McGinnis (Predikto) - Predictive Maintenance for Trains and Mobile Heavy Industry 2018-04-21
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