ThoughtSpot

AUGUST 31, 2023

The next battleground for analytics adoption among business users will be the productivity suite. You pull your dashboard data into Google Sheets so you can perform ad-hoc analysis and collaborate with various stakeholders who don’t have dashboard access. You can simply start exploring fresh, trusted data in Google Sheets.

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ThoughtSpot

JULY 18, 2023

At ThoughtSpot, we believe making data accessible to every knowledge worker requires human-centered technology—an analytics experience that bridges the “language” barrier between technology and people. That’s why we’re thrilled to partner with Google to bring exciting new Google Cloud generative AI capabilities to your analytics initiatives.

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ThoughtSpot

JULY 26, 2023

Today we're excited to officially launch AI Explain on ThoughtSpot for Sheets , the ultimate cheat code for data literacy and exploration. AI Explain integrates Google's PaLM 2 LLM, specifically leveraging the Bison model to automatically generate the top data stories for any visualization created with our Sheets extension.

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ThoughtSpot

APRIL 28, 2023

The companies, products, and services that compose the modern data stack play an essential role in delivering the modern data experience—allowing businesses to collect, process, store, and analyze data at cloud speed and scale. The partnership has several capabilities, such as ThoughtSpot’s SaaS offering built directly on Google Cloud.

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ThoughtSpot

MAY 23, 2023

I’m still buzzing about this year’s Showfloor Showdown at Gartner Data & Analytics Summit in London, where I had the opportunity to showcase ThoughtSpot's AI-Powered Analytics. I asked ThoughtSpot Sage a data question in full natural language—and I instantly received the answer. It’s that time of the year again!

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ThoughtSpot

JUNE 26, 2023

At ThoughtSpot, we know how important it is for businesses of every size and industry to empower every knowledge worker with personalized, actionable data-driven insights. What does that look like from a product perspective? But how do you scale self-service analytics to business users without completely overwhelming your data teams?

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