#353 The Data Team's Agentic Future with Ketan Karkhanis, CEO at ThoughtSpot

61 snips

Mar 30, 2026

Ketan Karkhanis, CEO of ThoughtSpot and former Salesforce analytics leader, discusses agentic analytics and how agents can draft metadata, propose models, and build dashboards. Short sentences highlight role shifts toward semantics, governance, and agent design. He focuses on trust, transparency, quick ROI pilots, and practical agent use cases in meetings and sales.

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INSIGHT

Agents Replace Dashboard First Workflows

Agents shift analytics from dashboard craftsmanship to conversational Q&A where users ask for answers not dashboards.
Ketan demonstrates this with Spotter answering CEO-level deal-status and sentiment across structured data and Slack in one query.

ANECDOTE

CEO Gets Deal Intelligence From Spotter

Ketan describes asking Spotter for the latest on his top 10 deals and having it analyze Slack and structured sources to explain a drop in engagement.
He uses the example to show a CEO getting rapid, multi-source answers without a data person.

INSIGHT

Data Readiness Is The Real AI Bottleneck

The main bottleneck for agent adoption is data readiness: governed metrics, semantic models, and metadata.
Spotter Model automates semantics and data modeling to make data AI-ready up to ten times faster.

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Data and AI platforms are racing toward agentic and even autonomous analytics. But the bottleneck is rarely the model—it’s data readiness: governed metrics, clear metadata, and a semantic layer machines can read. For data engineers and analysts, this shifts work from hand-built SQL and dashboard tweaks to designing meaning and trust. If an agent can draft column descriptions, propose a model for a new business question, and build the first dashboard layout, where do you add the most value? What do you measure to prove ROI in 30 days? How do you prevent “shiny demos” from driving strategy too early.

Ketan Karkhanis is the CEO of ThoughtSpot. Prior to joining the company in September 2024, Ketan was the Executive Vice President and General Manager of Sales Cloud at Salesforce. He returned to Salesforce in March 2022 after his time as the COO of Turvo, an emerging supply-chain collaboration platform. Before that, Ketan spent nearly a decade at Salesforce, where he led product areas in Sales, Service Cloud, Lightning Platform, and finally Analytics, wherein as the Senior Vice President & GM of Einstein Analytics, he pioneered incredible innovation, customer success, and business acceleration from launch to over $300M and a 30,000 strong user community. Prior to Salesforce, Ketan was at Cisco Systems where he led various technology initiatives and initiatives spanning Customer Advocacy, Cisco Certifications & eLearning.

In the episode, Richie and Ketan explore AI agents for analytics, why “self‑service BI” often fails, using agents to answer questions, build dashboards, and automate data modeling, how analyst and engineer roles shift toward governance and agent design, how transparency, culture, and ROI drive safe adoption, and much more.

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