Machine Learning Times
Machine Learning Times
EXCLUSIVE HIGHLIGHTS
The Rise Of Large Database Models
 Originally published in Forbes Even as large language models have...
3 Predictions For Predictive AI In 2025
 Originally published in Forbes GenAI’s complementary sibling, predictive AI, makes...
The Quant’s Dilemma: Subjectivity In Predictive AI’s Value
 Originally published in Forbes This is the third of a...
To Deploy Predictive AI, You Must Navigate These Tradeoffs
 Originally published in Forbes This is the second of a...
SHARE THIS:

2 years ago
Why eBay’s AI Chief is Setting Guardrails For Use of Low-Code AI

 
Originally published in Protocol, Jan 13, 2022.

Companies shouldn’t treat AI tools like regular software, according to eBay’s chief AI officer, Nitzan Mekel-Bobrov. They require special monitoring and permissions.

Ebay’s Nitzan Mekel-Bobrov has big plans for helping the ecommerce mainstay evolve into what he calls an AI-first company. The December launch of eBay’s proprietary AI-based tech, which can generate 3D product views, is a sign of more immersive shopping and AI-enhanced customer communications to come, built using computer vision, natural language processing, streaming and computer graphics.

As eBay’s chief artificial intelligence officer, Mekel-Bobrov — who joined the company last year after helping lead AI engineering teams at Hearst, Capital One and most recently Booking.com — takes what he calls a distributed approach to disseminating AI across eBay. People in the company’s marketing science, advertising science, search science and buyer experience teams all have domain-specific strategies “but they’re also feeding into the broader enterprise-wide strategy around maturing our AI at eBay and becoming an AI-first company, which is not something any one domain can accomplish on its own,” Mekel-Bobrov told Protocol in an interview this week.

Still, Mekel-Bobrov guards against haphazardly building AI for customer use or incorporating AI-centric tools into workflows without parameters. It’s why he’s creating standards, best practices and governance for the use of low-code and no-code AI tech by others inside the company, and why he says AI requires a unique form of monitoring and maintenance that other software does not.

To continue reading this article, click here.

5 thoughts on “Why eBay’s AI Chief is Setting Guardrails For Use of Low-Code AI

  1. People on the company’s marketing science, advertising science, search science, and buyer experience teams all have domain-specific strategies, “but they’re also contributing to the larger enterprise-wide strategy around maturing backrooms

     
  2. eBay’s AI chief, Nitzan Mekel-Bobrov, is clearly steering the ship with a focus on safety for low-code AI applications—smart move! The emphasis on guardrails ensures innovation doesn’t turn into chaos. For anyone looking to dive deeper into this AI revolution, remember, a quick google search can uncover a wealth of insights faster than you can say “algorithm.” Thanks for sharing this article; it’s like a crash course in responsible tech management!

     

Leave a Reply