Solving for enterprise scale analytics and agile data operations (sponsored by Infoworks)
The breakneck pace of business change and its insatiable appetite for data and analytics to drive Digital Transformation makes agile use of data an imperative.
Many organizations have demonstrated some success in proving the potential of advanced BI, AI and ML to drive growth and competitive advantage for the business. However, operationalizing and realizing the potential of such analytics at scale has proven a significant challenge. The issue is one of agility and scale of data operations and orchestration in production.
In this session we will discuss through examples, how a major financial institution and a major retail chain have overcome these challenges and established the foundation to operate analytics at scale and drive business transformation.
This session is sponsored by Infoworks
Amar Arsikere is the founder and CEO at Infoworks.io. Previously, Amar built several large scale data systems on Bigtable and Hadoop at Google and Zynga. At Zynga, he also led the design and deployment of the gaming database, the largest in-memory database in the world built at that time. At Google, he pioneered the development of data warehousing platform on Bigtable. Amar is a recipient of InfoVision award from IEC and the Jars Top 25 award and holds several patents in the field of software and Internet technologies.
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