The AI in Business Podcast
Episodes 1219 total
AI for Government and NGO Social Good Initiatives - an Interview with the Wadhwani Institute
We usually discuss the impact of artificial intelligence on a business's bottom line, but governments and NGOs are also considering AI as a mechanism for improv…
Machine Learning for Video Search and Video Education - How it Works
AI has made it easier to understand text as a medium in a deeper, more efficient way and at scale. With video, the situation is quite different. Searching for c…
AI in Industry: How AI Ethics Impacts the Bottom Line - An Overview of Practical Concerns
This week on AI in Industry, we are talking about the ethical consequences of AI in business. If a system were to train itself to act in unethical or legally re…
How Recommendation Engines Actually Work - Strategies and Principles
When we think of recommendation engines, we might think of Amazon or Netflix, but while consumer goods and entertainment might be the most prominent domains for…
What Executives Should be Asking about AI Use-Cases in Business
When contemplating a new venture into AI or machine learning, companies need to take on a number of important considerations that relate to talent, existing dat…
NLP for Text Summarization and Team Communication
Episode Summary: In this episode of the podcast, we interview AIG's Chief Data Science Officer, Dr. Nishant Chandra, about natural language processing (NLP) for…
How to Determine the Best Artificial Intelligence Application Areas in Your Business
This week's episode of the AI in Industry podcast focuses on two main questions. First, how should business leaders determine the most fruitful, potential appli…
The Financial ROI of AI Hardware - Top-Line and Bottom-Line Impact
At TechEmergence, we often talk about the software capabilities of AI and the tangible return on investment (ROI) of recommendation engines, fraud detection, an…
The Future of Advertising and Machine Learning - Audience Targeting, Reach, and More
Episode Summary: Facebook and Google's advertising complex is founded on machine learning, allowing people to self-serve their data needs across a broad audienc…
How Existing Businesses Should Organize Their Data Assets for AI
Companies with wells of data at their disposal may find themselves asking how they can use them in meaningful ways. Generally speaking, a clean set of data is t…
White Collar Automation in Healthcare - What's Possible Today?
Episode summary: In this episode of Ai in industry, we speak with Manoj Saxena, the Executive Chairman of CognitiveScale, about how AI and automation are being…
Using NLP for Customer Feedback in Automotive, Banking, and More
Episode Summary: Natural language processing (NLP) has become popular in the past two years as more businesses processes implement this technology in different…
Can Businesses Use "Emotional" Artificial Intelligence?
Episode summary: This week on AI in Industry, we speak to Rana el Kaliouby, Co-founder and CEO of Affectiva about how machine vision can be applied to detecting…
Improving Customer Experience with AI, Gaining Quantifiable Insight at Scale
A myriad of customer service channels exist today, such as social media, email, chat services, call centers, and voice mail. There are so many ways that a custo…
Better Than Elasticsearch? How Machine Learning is Improving Online Search
Episode summary: In this episode of AI in Industry, we speak with Khalifeh Al Jadda, Lead Data Scientist at CareerBuilder, about the applications of machine lea…
AI Use-Cases for the Future of Real Estate
Episode summary: In this episode of AI in Industry, we speak with Andy Terrel, the Chief Data Scientist at REX - Real Estate Exchange Inc., about how AI is bein…
High Performance Computing in Artificial Intelligence Applications with Paul Martino from Bullpen Capital
Episode summary: Here on the AI in Industry podcast, we've heard AI experts explain how high-performance computing (HPC) has enabled everything from machine vis…
Machine Learning for Credit Risk - What's Changing, and What Does it Mean?
Episode summary: In this episode of AI in Industry, we speak with Dr. Sanmay Das from the Washington University in St. Louis about risk prediction and managemen…
Applications of Machine Vision in Heavy Industry
Episode summary: In the last two or three years we at TechEmergence have witnessed a definite uptick in AI applications like predictive maintenance and heavy in…
Artificial Intelligence for Personalization in Marketing - Current and Future Possibilities
Episode summary: In this episode of AI in Industry we speak with Abhi Yadav, the CEO of ZyloTech, a Boston-based customer analytics platform for omni-channel ma…