Jul 2019
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26 Fri 09:20 AM – 05:30 PM IST
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Accepting submissions till 15 Jun 2019, 01:00 PM
Jul 2019
22 Mon
23 Tue
24 Wed
25 Thu 09:15 AM – 05:45 PM IST
26 Fri 09:20 AM – 05:30 PM IST
27 Sat
28 Sun
Accepting submissions till 15 Jun 2019, 01:00 PM
1. Meet Peter Wang, co-founder of Anaconda Inc, and learn about why data privacy is the first step towards robust data management; the journey of building Anaconda; and Anaconda in enterprise.
2. Talk to the Fulfillment and Supply Group (FSG) team from Flipkart, and learn about their work with platform engineering where ground truths are the source of data.
3. Attend tutorials on Deep Learning with RedisAI; TransmorgifyAI, Salesforce’s open source AutoML.
4. Discuss interesting problems to solve with data science in agriculture, SaaS perspective on multi-tenancy in Machine Learning (with the Freshworks team), bias in intent classification and recommendations.
5. Meet data science, data engineering and product teams from sponsoring companies to understand how they are handling data and leveraging intelligence from data to solve interesting problems.
For more information about The Fifth Elephant, sponsorships, or any other information call +91-7676332020 or email info@hasgeek.com
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Ravi Ramchandran
@rramchan
Submitted Feb 27, 2019
Erroneous decisions made from bad data are not only inconvenient, but also extremely costly. According to Gartner research, “the average financial impact of poor data quality on organizations is $9.7 million per year.”
In additional research for organizations that Gartner has surveyed, the analyst firm “estimate that poor-quality data is costing them on average $14.2 million annually.” Definetely, Bad data is bad for business.
In a Data Lake environment, Robust Ecosystem Products are required to govern Data Quality.Since Data Lakes are based on an ELT model, quality is much more difficult to govern. With legacy systems, and also an existing lake, it becomes a more uphill task.
In this talk I will take the audience on the journey to build DQAF (Data Quality Assessment Framework), which is Walmarts Product for Continuous Data Quality Assessment, and how we are changing the entire way we look at quality. DQAF is based on Wang’s Philosophy of TDQM. We believe To increase productivity, organizations must manage information as we manage products.
Key areas I will cover
Internet Access
Ravi is an Senior Architect with the GDAP(Global Data and Analytics Platforms) Group in Walmart Labs. Ravi started, building products for primarily for banks, and governments. He developed a passion for scaling large scale products, early on when he was involved with Gujarat Govt for creating workflow solutions. Looking at ways to impact lives directly, he moved towards healthcare, where was build API and Cloud Products for PHC, IoT Devices, MIC, Data Pipelines, Data Conversational Engines
Data being the next frontier, Ravi has been dabbling in all things Data Platform since the last couple of years. He was instrumental in developing the IoT Platform, for GE Healthcare. Currently Ravi is responsible for key oversight of Walmarts next gen Data Platform on hybrid cloud, primarily in areas of Quality, Governance, Privacy and Operability.
https://drive.google.com/open?id=1wq2_IJKxWv5COUTQ_wVIyMtBULmO9jiA
Jul 2019
22 Mon
23 Tue
24 Wed
25 Thu 09:15 AM – 05:45 PM IST
26 Fri 09:20 AM – 05:30 PM IST
27 Sat
28 Sun
Accepting submissions till 15 Jun 2019, 01:00 PM
Hosted by
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