Will AI replace software developers? Or just make software development much easier and quicker?
I chat with Antonio Alegria, Head of AI at OutSystems, about a shipping technology in which AI helps software developers write code faster, make fewer errors, and .... believe it or not ... get few repetitive stress injuries.
We talk about:
- agile development
- graph neural networks
- code X-ray
- hybrid AI
- probabilistic vs deterministic models
- predictive AI
- development help for novices
- development help for experts
... and much more.
Ever been shadow-banned? Ever wondered if an algorithm is changing your perception of reality? We talk about AI's black box problem and much more in this episode of The AI Show.
What happens when you don’t know why a smart system made a specific decision?
Today’s guest chairs the Ethics Certification Program for AI systems for the IEEE standards association. She’s also the vice-chair on the Transparency of Autonomous Systems working group. She’s on the AI faculty at Singularity University … she’s an author ... and she’s been a judge for the X-Prize.
Her name is Nell Watson.
We’ve probably all heard the stories about this ... in one, an image recognition system distinguished between dogs and wolves because all the wolf photos it was trained on also had SNOW in the background. Clearly, that’s a system that will fail in other circumstances …
But unless you know why an AI system is doing what it’s doing, it’s pretty hard to fix. So today we’re talking about transparency in AI.
How important is it to know why a smart system made a decision … and, can we engineer know-ability into all our AI systems?
Larry Pizette, Head of Data Science for Amazon’s Machine Learning Solutions Lab., reveals the 3 biggest mistakes companies make when they're building smart systems.
Welcome to the first official episode of The AI Show, brought to you by VentureBeat and hosted by John Koetsier.
- how to get started
- training engineers ... AND executives!
- kicking off AI projects when you do NOT have a lot of data
- the top 3 mistakes companies make when implementing AI
- where AI is now on the continuum from build-it-all-from-the-ground-floor to no-code
- the most innovative uses of machine learning he's seen (think NFL!)
- and much more ...
Chatting with Marcio Avillez from CUJO AI, which manages over 500 million devices daily for clients like Comcast, about AI solutions to monitor and protect security, control, and privacy.
Intro to show
The smart home industry is projected to be worth over $150 billion by 2024.
But smart home tech has a horrible privacy and security record.
From internet-connected cameras with default usernames and passwords to insecure home security systems … we’ve seen it all.
If the industry can’t figure it out … all that growth is at risk.
Our question today: can AI fix this?
Welcome to The AI Show. My name is John Koetsier, and today we’re chatting with Marcio Avillez, from CUJO AI.
The AI Show is a live video broadcast to our community on YouTube, Facebook, Twitter, and LinkedIn. It's also a story on VentureBeat. It's a podcast as well. And it's all of them at once.
There is a revolution happening in AI and ML across business, and across the workforce, that is profound, and it will totally change the way we do work within the next decade, says VentureBeat CEO and editor-in-chief Matt Marshall.
This is the podcast that will document that revolution.