As ThoughtSpot accelerates into its next phase of growth with AI-powered analytics, we are more committed than ever to providing value to our enterprise customers. In recent months, we delivered several features and enhancements designed specifically for your IT and Security Operations Administrators, who are at the forefront of provisioning and managing users and access to business objects.

In today’s data-driven world, visualization goes beyond displaying numbers — it’s about empowering users to express meaningful stories from data. Visualization is key to quickly interpreting data, uncovering patterns and trends, and enabling faster, more trusted decisions. At ThoughtSpot, we have always championed making data accessible and actionable for everyone. With our AI-powered analytics, any user can self-serve key business insights within seconds.

A few years ago, I received a call from the Tesla service team advising me not to come for my car service—a savings of $600 and my time. Imagine my surprise. In over two decades of car ownership, no auto service had ever called me and asked me not to show up. The Tesla representative explained that the data from my car prescribed an action, or in this case, an inaction.

Just like cloud computing changed digital businesses over time, the momentum of AI innovation foreshadows an evolution in business operations and decision-making. Instead of solely focusing on what happened or what might happen, AI will illuminate the actions that lead to better business outcomes. This is the next step in the AI evolution, one that will empower your business to shift from human-initiated, tech-assisted processes, to AI-initiated, human-supervised actions. In this world, AI is the new BI.

ThoughtSpot prioritizes the high availability and minimal downtime of our systems to ensure a seamless user experience. In the realm of modern analytics platforms, where rapid and efficient processing of large datasets is essential, swift metadata access and management are critical for optimal system performance. Any delays in metadata retrieval can negatively impact user experience, resulting in decreased productivity and satisfaction.

In the fast-paced world of software development, the efficiency of build processes plays a crucial role in maintaining productivity and code quality. At ThoughtSpot, while Gradle has been effective, the growing complexity of our projects demanded a more sophisticated approach to understanding and optimizing our builds. This requirement prompted us to explore Build Analytics—harnessing data from our build processes to gain actionable insights.

After being recognized by Gartner as the leading generative analytics experience for augmented analytics, ThoughtSpot’s SpotIQ just got an upgrade. As an integral part of ThoughtSpot’s core platform for nearly seven years, SpotIQ has unlocked the value of billions of rows of data for hundreds of customers. Even more inspiring are the customer testimonials highlighting how SpotIQ empowers business users to perform complex analytics and analyze key metrics—even on the go.

With generative AI, you have the opportunity to deliver a data strategy that helps business people answer their most pressing data questions—providing unprecedented value to your internal teams, partners, and customers. Hype around GenAI has overwhelmed people with too many use cases and too little focus on achievable value. That’s why we sponsored a first-of-its-kind survey with MIT SMR Connections, asking 1k global data and business leaders questions.

The 2024 Gartner Magic Quadrant for Analytics and BI Platforms just dropped, and we’re thrilled to announce that ThoughtSpot was recognized as a Leader in the report. But, we aren’t the only ones finding ourselves in a new position this year. The analytics and BI space has undergone some of the most significant shifts in over a decade, an aftershock of generative AI.

Organizations leveraging cloud data warehouses like Snowflake require the ability to efficiently manage and optimize their data connections. Without this, data teams will face challenges with various use cases, such as workload distribution and environment testing. Recognizing the need for greater flexibility and control over data connections, ThoughtSpot developed a powerful new feature: Multiple Configurations per Connection.