AI in the Enterprise – with Scale Venture Partners' Barak Turovsky

June 6, 2023

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Barak Turovsky is Executive in Residence at Scale Venture Partners, a leading Enterprise venture capital firm. Barak spent 10 years at Google as Head of Product and User Experience for Languages AI and the Google Translate teams, focused on applying cutting edge Artificial Intelligence and Machine Learning technologies to deliver experiences across Google Search, Assistant, Cloud, Chrome, Ads and other products.

Prior to joining Google in 2011, Barak was Director of Product in Microsoft’s Mobile Advertising team, Head of Mobile Commerce at PayPal and Chief Technical Officer in an Israeli start up. Most recently, Barak served as Chief Product Officer – responsible for product management and engineering at Trax – a leading provider of Computer Vision AI solutions for the Retail and Commerce industries.

He lived for more than 10 years in Russia, Israel and the US and speaks three languages fluently. Barak earned a Bachelor’s of Law degree from Tel Aviv University and a Master’s of Business Administration from the University of California, Berkeley.

You’ll also see some of his recent work in the podcast links

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Barak and I cover the following topics:

As a society, how are we currently absorbing the AI juggernaut?

What are the most promising advancements with AI from the view of Silicon Valley insiders, whether investors or corporates?

Why language matters

What are enterprise AI use cases? Practical and pragmatic use cases that you can embrace

Why ‘processes, skills and tools’ will be the three of the main focal points for use cases

Language – AI mapping and mirroring the language and knowledge level of an enterprise customer

Risks with AI in the enterprise such as: privacy, security, bias in data, efficacy of models, and ethics

How to navigate use cases for your industry and why AI in Customer Service is likely the place for you to start (hint: Productivity isn’t necessarily the measurement stick)

Good use cases of AI in Education (we’ve all been reading about the bad ones…)

AI as “co-pilot” in your company’s workflows

ChatGPT 4 and sensing human emotions

The competitive advantage to AI when every enterprise has access to it

Software development use cases will be BIG

How does a VC, PE or corporate investor team cut through the noise and identify the best investment opportunities?

What Barak is seeing that isn’t yet covered in the media or industry press

Resource Links

Barak’s recent work on AI:

A framework for evaluating Generative AI use cases.
Barak's interview with GLG Experts Network about Generative AI
Keynote at CES 2021 about latest and greatest in Languages AI
Talk at CES 2020 about dealing with bias in AI models (super relevant for ChatGBT/Generative AI)
Google AI work with Google Ads team to improve ads targeting (Semantic Targeting)
The Great AI awakening story from New York Times (covering the first-ever productization of deep neural networks with Google Translate), is one of best written stories about ML/AI history and challenges
Barak presentation to Indian Prime Minister Modi when he visited Google campus
For some fun – Google Translate vs. La Bamba (Google Translate team playing with visual, AR-based translation feature)