Delivering AI-Powered Analytics From the Data Lakehouse
Webinar Speaker: James Kobielus, Senior Research Director, Data Management
Date: Wednesday, November 15, 2023
Time: 9:00 AM PT, 12:00 PM ET
Cloud data infrastructures are a core platform for success. As businesses leverage data in everything they do, more are unifying their data assets into a powerful new architecture that goes by the name of “lakehouse.”
The data lakehouse is a strategic platform for delivering analytics into a wide range of applications. It enables enterprises to build applications that provide self-service, interactive access to contextual search, real-time decision support, and interactive data visualizations. Organizations can leverage the lakehouse to deliver safe, reliable, self-service analytics at scale and make AI/ML-driven insights consumable by all users. The lakehouse can also provide native support for programming analytics in Python and for developing intelligent applications in a choice of data science and AI frameworks.
Join this webinar in which James Kobielus, TDWI senior research director for data management, engages a panel of industry experts and thought leaders from Databricks and ThoughtSpot to explore the opportunities, challenges, and approaches for leveraging the lakehouse to build embedded AI-powered analytics into data-centric applications. After context-setting presentations, Kobielus and panelists will discuss the following key questions:
- What is a data lakehouse?
- How can delivery of AI-powered analytics from the lakehouse accelerate actionable data insights to business users?
- How should organizations architect their data lakehouse to make AI/ML-powered insights consumable in a wide range of applications?
- How can a data lakehouse support deployment of self-service, embedded, and interactive data applications at scale?
- How can enterprises leverage embeddable lakehouse analytics to drive actions from applications, automate business processes, and thereby accelerate desirable outcomes?
- How should enterprises leverage a data lakehouse and embedded analytics in their efforts to build monetizable data products?
Pavithra Rao is a delivery solutions architect at Databricks working with fintech organizations. Pavithra has 7 years of experience working with start-ups to Fortune 100 organizations, helping them architect robust data and AI platforms and use cases.
Sr. Analytics Evangelist
Sonny Rivera is a senior analytics evangelist at ThoughtSpot, a modern data stack thought leader and expert with over 25 years of experience delivering data solutions that drive business value and increase speed to insights. He has delivered multiple embedded analytics products, resulting in over $28MM in annual recurring revenue (ARR). Sonny advises customers on their journey to the cloud, data literacy and fluency, FinOps, and embedded analytics. He also works with ThoughtSpot's product team and provides thought leadership to the data and developer communities.
As one of Snowflake's original “data superheroes”, he has a deep knowledge of data platforms, data modeling, and analytics technologies such as dbt Cloud, Snowflake, AWS Redshift, Sisense, Looker, and embedded analytics. He has led multiple migrations to cloud data platforms from on-premises platforms such as Cloudera and Oracle. Before joining ThoughtSpot, he provided data delivery leadership for Ally Financial, AAA, Randall-Reilly Digital Media, and Hartford.