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1 December 2022

Destination Lakehouse

Virtual | 8:30 AM IST, 11:00 AM SGT, 2:00 PM AEDT

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Data + AI World Tour

Lakehouse is fast emerging as the new standard for data architecture but every region has its own unique stories and challenges.

Please join us for this virtual event with speakers, customers and content designed with you in mind.

Our lineup of  data and AI experts, leaders and visionaries includes Arsalan Tavakoli, as well as Databricks customers from across Asia-Pacific.

 

 

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Speakers

Headshot of Arsalan Tavakoli

Arsalan Tavakoli

Co-Founder & SVP, Field Engineering

Databricks

Headshot of Ed Lenta

Ed Lenta

SVP and GM, Asia Pacific & Japan

Databricks

Headshot of Jack Ng

Jack Ng

Head of Beta Labs

The Lane Crawford Joyce Group

Headshot of Thomas Qian

Thomas Qian

Chief Data Science Architect, Wholesale banking

HSBC

Headshot of Soumya Simanta

Soumya Simanta

Head of Data and ML Platforms

Swiggy

Headshot of Tracey Kay

Tracey Kay

Director of Strategic Customer & Partner Program

Databricks

Headshot of Surya Srinivasan

Surya Srinivasan

Director, Digital Natives, ASEAN and India

Databricks

Headshot of Bilal Aslam

Bilal Aslam

Sr. Director, Product Management

Databricks

Headshot of Craig Wiley

Craig Wiley

Senior Director of Product Management

Databricks

Headshot of Shant Hovsepian

Shant Hovsepian

Principal Software Engineer

Databricks

Agenda

11:00 AM

Keynote
11:00 AM-11:50 AM
Discover Lakehouse: Breaking Down the Data and Governance Silos

As the worlds of data, analytics and AI become increasingly interconnected, there’s a growing need for a platform to unify data sources, use cases and workloads. The data lakehouse removes the barriers that separate business analysts from data scientists, structured data from real-time streaming and business intelligence from AI. This opening keynote explores how the lakehouse’s simple, open, multicloud approach simplifies data management, unifies data teams and productionizes more initiatives. Using a demo-driven approach, this keynote will clearly delineate how the major data workloads of data engineering, data warehousing, data science and machine learning are orchestrated within the architecture of the Databricks Lakehouse Platform.

Headshot of Ed Lenta
Ed Lenta
Databricks
Headshot of Arsalan Tavakoli
Arsalan Tavakoli
Databricks
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11:50 AM

Keynote
11:50 AM-12:15 PM
Panel Discussion: 2025 Top Data Priorities to Scale AI

Join in the 25 mins fireside chat to discover why and how organizations today are rethinking their data architecture to recession-proof their business and scale AI

Headshot of Jack Ng
Jack Ng
The Lane Crawford Joyce Group
Headshot of Thomas Qian
Thomas Qian
HSBC
Headshot of Tracey Kay
Tracey Kay
Databricks

12:15 PM

Keynote
12:15 PM-12:30 PM
Fireside Chat: From Startup to Unicorn: Swiggy's data and AI winning strategy

Join this fireside chat to discover how Swiggy, a leading food delivering company utilizes data and AI to fuel the growth from a startup to unicorn.

Headshot of Soumya Simanta
Soumya Simanta
Swiggy
Headshot of Surya Srinivasan
Surya Srinivasan
Databricks

12:30 PM

Keynote
12:30 PM-1:15 PM
Destination Lakehouse: All Your Data, Analytics and AI on One Platform

The data lakehouse is the future for modern data teams seeking to innovate with a data architecture that simplifies data workloads, eases collaboration, and maintains the flexibility and openness to stay agile as a company scales. The Databricks Lakehouse Platform realizes this idea by unifying analytics, data engineering, machine learning, and streaming workloads across clouds on one simple, open data platform. In this session, learn how the Databricks Lakehouse Platform can meet your needs for every data and analytics workload.

  • Data Engineering on the Lakehouse
  • Data warehouse on the Lakehouse
  • Machine Learning on the Lakehouse
Headshot of Bilal Aslam
Bilal Aslam
Databricks
Headshot of Craig Wiley
Craig Wiley
Databricks
Headshot of Shant Hovsepian
Shant Hovsepian
Databricks