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Kuber Sharma

Senior Director, Product Marketing at UiPath

Seattle, United States

Senior Director of Product Marketing at UiPath, leading GTM for agentic business automation. Previously 7 years at Microsoft Azure, launching 12 cloud services including Azure SQL Data Warehouse. Before that, Salesforce and Tableau, where I named the Zero Copy category and led the State of Data and Analytics research.

I write and speak about enterprise AI adoption, the gap between pilot and production, AI governance, and product marketing for categories that do not yet exist. My frameworks include the Pilot Trap and the Trust Architecture. Duke Fuqua MBA. Based in Seattle.

Available For:
Travels From: Seattle, WA
Speaking Topics: Enterprise AI, Agentic Systems, AI Governance, Product Marketing, GTM Strategy, Category Creation

Kuber Sharma Points
Academic 0
Author 5
Influencer 0
Speaker 0
Entrepreneur 0
Total 5

Points based upon Thinkers360 patent-pending algorithm.

Thought Leader Profile

Portfolio Mix

Company Information

Company Type: Enterprise
Business Unit: Product Marketing
Theatre: North America
Minimum Project Size: N/A
Average Hourly Rate: N/A
Number of Employees: 1,001-5,000
Company Founded Date: Undisclosed

Areas of Expertise

Agentic AI 30.03
AI 30.03
AI Ethics
AI Governance
AI Orchestration
Big Data 30.03
Business Strategy
Cloud 30.06
Customer Experience 30.01
Digital Transformation
Emerging Technology
Future of Work
Generative AI
Innovation
Marketing
Product Management
Retail 30.11

Industry Experience

High Tech & Electronics
Professional Services
Cross Industry

Publications & Experience

5 Article/Blogs
The #1 reason that kills your Agentic rollout.
Linkedin
January 08, 2026
Forrester just dropped a massive reality check on the AI hype cycle:

By the end of 2026, less than 15% of firms will actually turn on the agentic features they are buying today.

Read that again. 85% of companies will have the engine, but they will be too afraid to turn the key.

The barrier isn't Capability. It’s Governance.

See publication

Tags: Agentic AI

Lightning fast query performance with Azure SQL Data Warehouse
Linkedin
July 20, 2018
As the amount of data grows exponentially, the pressure to quickly harness it for insights to share across the organization also increases rapidly. As Microsoft continues to evolve our analytics portfolio, we are committed to delivering a data warehouse solution that provides a fast, flexible, and secure analytics platform in the cloud.

See publication

Tags: Big Data, Cloud

Your data warehouse is past its due date. Let Azure and Informatica help.
Linkedin
April 03, 2018
Everyone needs a Data warehouse. and everyone already has one as well. The problem begins when the data warehouse is too narrow in scope and not ready for cloud, or unstructured data sets. Business needs AI, but the DW can barely support BI. :)

See publication

Tags: Big Data, Cloud

AI for Retail: 3 use cases to enhance physical stores
Linkedin
July 19, 2017
Earlier, I wrote about some immediate AI-driven use cases that can help retailers delight their customers with genuinely personalized experiences. However a massive amount of retail business is still in stores. And there's tremendous opportunity to leverage AI within the good old brick and mortar stores.

See publication

Tags: AI, Retail

AI for Retail: 3 disruptive customer experience use cases (before AMZN kills you)
Linkedin
July 17, 2017
The biggest headline today is about Blue Apron stock tumbling due to an Amazon.com registration filing. I feel like AMZN had destroyed more market value (for its competitors) than it has gained for its investors. Retail stocks like Walmart, Costco et al haven't recovered from the Whole Foods news.

See publication

Tags: AI, Customer Experience, Retail

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