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Shailesh Manjrekar

San Francisco, California, United States

Chief Marketing Officer | AI | Product | SaaS | Startup GTM | Forbes

Shailesh Manjrekar Points
Academic 0
Author 5
Influencer 56
Speaker 0
Entrepreneur 0
Total 61

Points based upon Thinkers360 patent-pending algorithm.

Thought Leader Profile

Portfolio Mix

Company Information

Areas of Expertise

AI 30.04
Analytics 30.09

Industry Experience

Publications

5 Article/Blogs
Agentic AI Makes Autonomous Enterprises A Reality
Forbes
October 30, 2024
It's no secret that as a result of the AI revolution, we're seeing enterprises, both small and large, aspire to be autonomous with augmented intelligence. The advent of generative AI (GenAI) and LLMs has been a transformative step to get closer to this vision

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Tags: Analytics, Agentic AI

Telemetry Pipelines: Why Data Automation Is The Achilles Heel Of Observability, Security And Digital Twins
Forbes
October 07, 2024
Observability, security and digital twins are operational domains that can't be successful without leveraging data-first, GenAI-first and automation-first strategies.

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Tags: AI

Launching the CloudFabrix Space Craft into the Orbit!
Cloud Fabrix
December 26, 2022
Drawing analogies, we here at CloudFabrix had our own “Artemis 1 moment”. What a pivotal year it has been for us here at CloudFabrix – we achieved 3 things – Growth, Growth and Growth, we fired on all cylinders of the rocket. It has been a phenomenal journey.

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Tags: AI

Data-Centric AIOps: The Next Frontier With Observability Pipelines
Forbes
September 12, 2022
Data-centric AI is the new frontier in AI, where the models themselves now remain stationary while tools, techniques and engineering practices improve data quality. As Andrew Ng puts it, "Data-centric AI is the discipline of systematically engineering data to build an AI system."

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Tags: AI

The Outcome-Based Autonomous Enterprise Journey
Forbes
January 26, 2022
Every enterprise, small, medium or large, aspires to be an autonomous enterprise, particularly in this data economy. What it means at a CXO level is to be able to predict and prevent outages and security breaches, improve time to market and time to insights, deepen customer insights and improve customer experience. However, these goals are difficult to achieve with multicloud and hybrid distributed, cloud-native applications and platforms that are complex and abstract.

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Tags: Analytics

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Shailesh Manjrekar


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