The AI in Business Podcast
Episodes 1219 total
A VC's Take On Business Process Automations
In some ways, investors in AI have to do a lot of what we do at TechEmergence, which is sort through marketing fluff and determine what's actually working and w…
Genetic Algorithms Evolve Simple Solutions Across Industries
As it turns out, survival of the fittest applies as much to algorithms as it does to amoebas, at least when we're talking about genetic algorithms. We recently…
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, i…
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-ba…
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 malici…
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, parti…
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, r…
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 u…
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 algo…
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 c…
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…
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 w…
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 on…
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 Adg…
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…
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 the…
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…
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 numb…
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 dete…
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 dow…