{ Cloud Strategy for Actioning Data » APAC Day

APAC Day

All Times in ET

9:00 am - 9:45 am Dr. Data or: How I Learned To Stop Building Data And Love The Use Of It

Kshira Saagar - Chief Data Officer, Latitude Financial Services
  • Providing capability and building value through data
  • Maintaining data foundations for the enterprise
  • Delivering insights and actions to the organization
  • Engaging as chief customer and marketing officer
  • Spearheading customer acquisition, retention and engagement KPIs
  • Being zero to one in terms of data adoption- ensuring the value of data is showcased
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Kshira Saagar

Chief Data Officer
Latitude Financial Services

10:00 am - 10:45 am Data Virtualization: How It Can Be Leveraged for AI/ML Initiatives

Katrina Briedis - Sr. Product Marketing Manager, Asia-Pacific, Denodo

AI/ML solutions use data to provide the intelligence to support day-to-day business processes and decision making. The more data these solutions use, the more they learn, and the more accurate their predictions are. However, extracting data from multiple sources and then replicating it to a central repository is an old and inefficient way to achieve this and often results in 80% of the project time being spent on data acquisition and preparation tasks. Data virtualization is a modern data integration technique that integrates data in real-time, without having to physically replicate it. It can seamlessly combine views of data from a wide variety of different data sources and feed AI/ML engines with data from a common data services logical layer.

In this presentation, you’ll learn how data virtualization:

  • Exposes data to the data science ecosystem
  • Enables data science by providing all enterprise data in real time
  • Provides Data Science teams with data discovery through a Data Catalog
  • Can be leveraged to accelerate AI/ML initiatives


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Katrina Briedis

Sr. Product Marketing Manager, Asia-Pacific
Denodo

11:00 am - 11:45 am Grappling With What Mitigates Actioning Data

Lovleen Chadha - Data Scientist, Nokia
  • Don't have the data: Understanding the issue:
  • Data not available
  • Quality of data not present
  • Power of data not understood
  • Don't have the culture: Realizing what's needed from:
  • Foot soldiers
  • Middle-managers
  • Top-leadership
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Lovleen Chadha

Data Scientist
Nokia