To operate with the speed, efficiency and productivity that companies are seeking, more employees need accurate, quick and tailored answers to questions about the enterprise’s unique operations, as well as tools to seamlessly visualize results so they can be shared broadly across the organization. That’s business intelligence in the age of data intelligence.
Below are some standout sessions from our recent Data + AI Summit, which help leaders understand data intelligence and its role in driving better, more dynamic business intelligence for all employees.
Databricks Data Intelligence Platform: Introductory Overview
Speakers: Ari Kaplan, Head of Technical Evangelism at Databricks
The “101” course on our signature solution, it’s “required reading” for anyone looking to understand how AI, combined with the lakehouse architecture, brings business intelligence to the next-level.
With all corporate assets, spanning structured tables, notebooks, documents, audio and video files, social media feeds, etc., in one location, enterprises are able to quickly establish unified governance and security frameworks, enabling broader access to the information. Then, with natural language prompts, even non-technical business users can scour the data for insights.
The result is broader, more accurate business intelligence that not only answers questions, but gives employees the actual information they need to drive greater business value.
Databricks SQL: Addressing Data Warehousing’s Biggest Challenges with Data Intelligence
Speakers: Kevin Clugage, Gaurav Saraf
Historically, generating business intelligence was a convoluted process involving many different steps that were all handled by bespoke solutions, creating huge inefficiencies and ultimately undermining the quality of the outputs. This session covers how, with the DI Platform, each of these components – spanning ingestion, transformation and processing – is run and managed through one platform.
Companies get end-to-end data warehousing, helping to save money while driving greater performance. And with AI built into the foundation, companies can address the governance and usability challenges that kept business intelligence segmented to a small set of skilled professionals.
Enterprise-grade Security and Compliance on the Databricks Data Intelligence Platform
Speakers: Filippo Seracini, Alex Esibov
Data governance is hard. Often, companies have different strategies in place to control access and track assets across their many IT ecosystems. And they don’t know where to start to unify these approaches. Without a standardized framework for data governance, true business intelligence is impossible.
This session covers the latest security and compliance features available on the DI Platform to protect the sensitive and regulated data process across DBSQL Serverless, Unity Catalog, Mosaic AI, and more at enterprise scale.
Business Intelligence in the Real-World
Texas Rangers’ Championship Success with a Data Intelligence Platform
Speakers: Alexander Booth, Oliver Dykstra and Michael Topol
For the 2023 World Series winners, business intelligence means, among other things, analyzing players movements to enhance strategies. This session covers how, underpinned by the DI Platform, this data-centric approach has proven instrumental in steering the team toward success, offering a competitive advantage in a sport where split-second decisions can determine the outcome of crucial moments.
AT&T’s Journey Towards a Serverless Data Intelligence Platform
Speakers: Samrat Ray, Jegadeesan Pugazhenthi
Most IT teams face the difficult task of onboarding a growing number of data and AI projects, while also ensuring each one quickly delivers on the promised value. This dual-push for efficiency and innovation is one many businesses are struggling with. At AT&T, the DI Platform helped to streamline and accelerate the development of new data products, all while meeting stringent security and regulatory requirements.
Healthcare Data Intelligence with Unity Catalog: Providence’s Journey
Speakers: Anna Erickson, Janet Vickers
In the age of data and AI, governance rules all. Companies need a robust framework in place that enhances their control and security of the assets, while enabling broader access and sharing to the information. Learn how Providence relied on Unity Catalog to unlock improved data intelligence, sharing, collaboration, and support for its most critical clinical and operational GenAI and LLM use cases.
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