Tarun  dives into the game-changing components of Watsonx, before delivering some noteworthy advice for those who are eager to forge a career in AI and machine learning. 

Key Points From This Episode:

• Introducing Tarun Chopra and a brief look at his professional background. 
• His intellectual diet: what Tarun is consuming to stay up to date with technological trends. 
• Common challenges in technology and AI that he encounters daily. 
• The importance of fully understating what problem you want your new technology to solve.  
• IBM’s role in AI and how the company is helping to accelerate change in the space.
• Exploring IBM’s decision to remove facial recognition from its endeavors in biometrics. 
• The development of IBM’s Watsonx and how it’s helping business tell their unique AI stories. 
• Why IBM’s consultative approach to introducing their customers to AI is so effective. 
• Tarun’s thoughts on computer power and all related costs. 
• Diving deeper into the three components of Watsonx. 
• Our guest’s words of advice to those looking to forge a career in AI and ML. 

Tweetables:

“One of the first things I tell clients is, ‘If you don’t know what problems we are solving, then we’re on the wrong path.’” — @tc20640n [05:14]

“A lot of our customers have adopted AI — but if the workflow is, let’s say 10 steps, they have applied AI to only one or two steps. They don’t get to realize the full value of that innovation.” — @tc20640n [05:24]

“Every client that I talk to, they’re all looking to build their own unique story; their own unique point of view with their own unique data and their own unique customer pain points. So, I look at Watsonx as a vehicle to help customers build their own unique AI story.” — @tc20640n [14:16]

“The most important thing you need is curiosity. [And] be strong-hearted, because this [industry] is not for the weak-hearted.” — @tc20640n [27:41]

Links Mentioned in Today’s Episode:

Tarun Chopra

Tarun Chopra on LinkedIn

Tarun Chopra on Twitter

Tarun Chopra on IBM

IBM

IBM Watson

How AI Happens

Sama