The AI in Business Podcast
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
- Update frequency
- every 2 days
- Average duration
- 26 minutes
- Episodes
- 1013
- Years Active
- 2013 - 2025
Art of Artificial Intelligence in Marketing Optimization
Getting beyond the marketing and jargon on the homepage of AI companies and figuring out what's actually happening, what results are being driven in business, is part of our job at TechEmergence. Sha…
Fundamentals of Natural Language Generation in Business Intelligence
You might be aware that some of the articles online about sports or financial performance of companies are article written by machines; this machine learning-based technology is the burgeoning field …
DarkTrace's Justin Fier - Malicious AI and the Dark Side of Data Security
There is in fact a dark side to AI, although we’re certainly not at the point where we need to fear terminators, but it’s certainly been leveraged toward malicious aims in a business context. In data…
Startup Artificial Intelligence Companies in China
Most of our recent investor interviews have been Bay area investors, like Accenture and Canvas, and we don't usually get to speak with investors overseas, particularly in Asia. This week, however, we…
How Data Lakes Support ML in Industry - with Cloudera's Amr Awadallah
If you're going to apply machine learning (ML) in a business context, you need a lot of data, and algorithms across the board perform better with more recent, rich, and relevant data. Today, there ar…
Machine Learning for Media Monitoring - with Signal Chief Data Scientist
One facet of business that nearly any industry has in common is the need to stay on top of news in their respective market, including competitor strategies or understanding changes in news related to…
Tuning Machine Learning Algorithms with Scott Clark
What does it mean to tune an algorithm, how does it matter in a business context, and what are the approaches being developed today when it comes to tuning algorithms? This week's guest helps us answ…
How to Raise Money for Your AI Startup – with Ben Narasin of Canvas Ventures
In this episode, recorded live at Canvas Ventures in Portola Valley, I speak with Ben Narasin, a partner with Canvas and an avid venture investor in AI and ML companies, some of which we've interview…
How to Learn Machine Learning – an Investor's Perspective
There’s been lot of hype around AI and ML in business over the past five years. Even among investors exist a lot of misconceptions about using ML in a business context, and how to get up to speed on …
Machine Learning in Infosecurity
Uday Veeramachaneni is taking a new approach to machine learning in infosecurity, AKA infosec. Traditionally, infosec has approached predicting attacks in two ways: through a system of hand-designed …
How to Hire Machine Learning Talent - with HIRED's Parshu Kulkarni
When it comes to finding an expert on interviewing and finding machine learning (ML) talent, Parshu Kulkarni may just be the guy to ask. Not only is Kulkarni one of a small subsegment of the global p…
How Algorithms Improve Advertising - AI for Marketing Optimization
In marketing, there are lots of applications in AI and machine learning (ML), from recommendation engines to predictive analytics and beyond. At the company Adgorithms, there are even more ambitious …
Automating White Collar Work - Two Examples and a Look Forward
Not all knowledge work can be crunched by a program, but there are some hard-to-automate business processes that a select few entities are making an attempt to automate now. Boston-based Rage Framewo…
When and How Will Autonomous Cars be Mainstream?
This week we speak with CEO and Founder of Nexar Inc., Eran Shir, whose company has created a dashboard app that allows drivers to mount a smartphone, which then collects visual information and other…
How to Leverage Data Assets for Business - with Kenneth Cukier
In this episode, we speak with Senior Editor for the Economist in digital and data products and Co-author of "Big Data: A Revolution that Will Transform How We Work, Live and Think", Kenneth Cukier, …
How Executives Can Learn Machine Learning
What are executives missing the boat on and what do they need to think about when it comes to AI and ML? This week, we speak with John Straw, who has had a number of businesses in the UK and US, curr…
Artificial Intelligence in Stock Trading - Future Trends and Applications
In many ways, AI and finance are made for each other. Machine learning and other techniques make it easier to identify patterns that might otherwise not be detected by the human eye, and finance is q…
Three Scenarios for the Future of Work in an AI Economy
Market research and trends is important when discussing AI and business, but it's also worthwhile to contemplate the ethical and social implications further down the line. How will countries deal wit…
The Future of Advertising Attribution with Machine Learning
A medium-size business with a $20M marketing budget can run into issues when aiming to track an attribute, what marketing dollars brought in customers, etc. But when you're managing $90B for customer…
Five Year Trends in Medical AI Applications
I remember reading an article in Scientific American years ago about a poster of a person looking in the direction people sitting in a school dining room, and that this poster would make people sitti…