Data Science Summit 2019

ISB had hosted a Data Science Summit on November 29, 2019, in Hyderabad.

The Summit had focused on the Opportunities and Challenges of the application of Artificial Intelligence and Machine Learning models.

The Summit was organized by the ISB Institute of Data Science, an Institute that offers the Advanced Management Programme in Business Analytics (AMPBA). Speaker Sessions covered were on application of AI in Retail, Healthcare, Fintech, and Data Privacy & Governance in the era of AI.

The Summit was organized under the leadership of Professor Manish Gangwar, Executive Director ISB Institute of Data Science.

The day-long Summit was a roaring success as it was attended by 450 participants, featured 8 speaker sessions and 4-panel discussions comprising 30 subject matter experts from the Industry and Academia.

VLK Laxmikanth, MD, Broadridge India, had delivered the first keynote session of the day on ‘AI- Imperfectly Perfect or Perfectly Imperfect.’

In an industry under threat from thinning margins and growing ecommerce, retailers need to not just survive, but they also have to arm themselves with more advanced tools, techniques and tactics to do better quality business. Ability to predict store revenues is more critical than ever before. Advanced analytics and leveraging data science, allows retail leaders to stay agile, make informed decisions around current store operation, and plan the most effective new openings. This enables the leaders to stay ahead of the competition and continue to grow through actionable insights. The keynote session explores use cases and opportunities of data science in omnichannel planning, revenue prediction and much more in the post pandemic era.

About 

With consumer behaviours changing rapidly, it's crucial to prioritize experiences that seamlessly bridge online and offline worlds starting with immersive commerce, which supports an array of key 2021 priorities. There's no doubt that 2020 was transformational for retail. The retail analytics tracks talk about technological and analytical application in customer and product demand.

Speaker Session: 

Title: “Demand Analytics - Product and Customer Analytics”

Panel Discussion:

Title: “Unlocking the Future of Retail Analytics: Post Covid-19”

About 

Operations and Supply Chain Analytics- related track features AI and Analytics technologies that are disrupting businesses and driving new policies, products, services and channels for increased revenue. The track provides practical applications to new concepts and technologies being implemented within supply chain analytics programme to maximize their efficiencies while minimizing business disruptions.

Speaker Session:

Title: “Autonomous Supply Chain: Demystifying the Technologies” 

Panel Discussion:

Title: “Re-inventing and Re-imagining the Supply Chain”