AI and the Future of Work: Artificial Intelligence in the Workplace, Business, Ethics, HR, and IT for AI Enthusiasts, Leaders and Academics - Andi Mann, Sageable CEO and AIOps pioneer, discusses enterprise AI wins and the impact of automation on jobs

Andi Mann, Sageable CEO and AIOps pioneer, discusses enterprise AI wins and the impact of automation on jobs

03/06/23 • 34 min

1 Listener

AI and the Future of Work: Artificial Intelligence in the Workplace, Business, Ethics, HR, and IT for AI Enthusiasts, Leaders and Academics

We often discuss the future of work for enterprise employees. What technology will they use, how will people and machines interact, and how teams will be organized when geography and language are no longer barriers. Few have spent more time in and around enterprise service management than today’s guest and few are better qualified to share insights about what’s ahead.

Andi Mann has been a technology leader in technology companies around the world since the 90s. He founded Sageable, the digital transformation advisory services practice, in 2015 and has also recently served in roles that include CTO for DevOps at Splunk and VP Products and Strategy at CA which is now part of Broadcom. Andi and I both did time at BMC Software in the early 2000s. Andi is the author of multiple books including The Innovative CIO, he’s a sought after speaker, and tech provocateur who is never shy about what’s wrong with IT and where the world of digital is headed.

Thanks to friend of the podcast Steve Kaplan for the intro to Andi.

Listen and learn...

Why Andi summarizes his career this way: "I make computers do more work to allow people to do more creative things"
The best use of enterprise AI Andi has seen
How Andi helped an industrial transportation company save a billion dollars
Why “less complex systems can’t understand more complex systems”
Why the best use of AI is targeting “known knowns” by augmenting vs. replacing human intelligence
How to overcome the lack of trust in AI
Why AI won’t eliminate any jobs... and why it will create many new ones
Skills to invest in today that will never be replaced by automation

References in this episode...

Dr. Lance Eliot writes about ChatGPT dispensing therapy advice
Colin Fletcher, father of the term “AIOps”, on AI and the Future of Work
Andi’s book “The Innovative CIO"
Andi’s company Sageable

Thanks to friend of the podcast Steve Kaplan for the intro to Andi.

Listen and learn...

Why Andi summarizes his career this way: "I make computers do more work to allow people to do more creative things"
The best use of enterprise AI Andi has seen
How Andi helped an industrial transportation company save a billion dollars
Why “less complex systems can’t understand more complex systems”
Why the best use of AI is targeting “known knowns” by augmenting vs. replacing human intelligence
How to overcome the lack of trust in AI
Why AI won’t eliminate any jobs... and why it will create many new ones
Skills to invest in today that will never be replaced by automation

References in this episode...

Dr. Lance Eliot writes about ChatGPT dispensing therapy advice
Colin Fletcher, father of the term “AIOps”, on AI and the Future of Work
Andi’s book “The Innovative CIO"
Andi’s company Sageable

Previous Episode

Meredith Broussard, NYU professor, AI ethics authority, and featured expert in Coded Bias, discusses the social implications of AI

Meredith Broussard is one of the most visible, vocal leaders in the emerging field of algorithmic accountability. Professor Broussard is a data scientist and Associate Professor at NYU whose research focuses on AI in investigative reporting and using data analysis for social good. Meredith is the author of Artificial Unintelligence: How Computers Misunderstand the World and the forthcoming More Than a Glitch: Confronting Race, Gender, and Ability Bias in Tech.

Among other things, Professor Broussard was featured in the seminal documentary Coded Bias. Today's discussion is about one of the most important topics in our field and in this episode we explore it with someone whose name is on a shortlist of AI ethics pioneers. You’ve heard me say repeatedly coursework in AI ethics should be required for every student graduating with a technical degree. Here's why!
Listen and learn...

How AI reveals bias encoded in society
Why it's important to always ask "what could go wrong"
What is the new field of "algorithmic accountability reporting"
What the Blueprint for an AI Bill of Rights may mean for bad acting companies
What's the right role for the federal government in AI regulation
How to assign an "accountability score" to algorithms
The ethical issues related to AI we'll be discussing in a decade

References in this episode...

More Than a Glitch, Professor Broussard's new book... and her "love letter" to an amazing group of women who are pioneers in the emerging field of algorithmic accountability
Professor Broussard's personal website
The racist soap dispenser
Joy Buolamwini's Algorithmic Justice League
Rumman Choudary, formerly head of the META team at Twitter
Cathy O'Neil's ORCAA
The ethical judgments built into generative AI models
Google's "stochastic parrots" debacle
The Agnes Irwin School outside Philadelphia

Next Episode

Navindra Yadav, CEO and Founder of Theom, discusses how AI is used to prevent data breaches

Navindra Yadav is the co-founder and CEO of Theom, the cloud data security leader. He and the team recently raised a $16M series A from an impressive group of investors including Microsoft’s M12 venture fund and Ridge Ventures. Prior to Theom, Navindra was the founder and CEO at Tetration and prior to that he was a distinguished engineer at Cisco. Navindra’s work has received more than 182 patents.

For full disclosure, Dan is an investor in Theom. Thanks to Patty Hatter, great former guest, for introducing us to Navindra.
Listen and learn...

What CISOs least understand about the security of enterprise data
Why CASBs (Cloud Access Security Brokers) are inherently vulnerable
The hardest technical problem Theom has solved
How to assign a “criticality score” to data
How to use NLP (natural language processing) to detect PII (personally identifiable information)
How to protect from unauthorized data access through social engineering
Why data stores like Snowflake, Databricks, and Confluent don’t already monitor data inappropriately leaving their platforms?
When consumers will be able to trust that data they provide SaaS vendors is secure.
The security startup Navindra and Dan are ready to fund!

References in this episode...