Here's our 2018 schedule. We are in the process of finalising the schedule for 2019. Please check back this page again.
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  • The Machine Con

    May 11, 2018

  • 09:15 - 09:50
    As experienced analytics practitioners, we have all traversed different paths to get to this point, but our paths all share one thing in common: we have all made mistakes and learnt from them. And I suspect we have all looked back and said, I wish I knew that when I started out, it would’ve saved me so much grief. So this talk is my catalogue of war wounds from 15 years in the trenches.

  • 09:50 - 10:10

  • 10:10 - 10:40
    - is AI really an opportunity - how do companies capitalise on AI - what are the challenges that companies face? - Some interesting developments/ applications.

  • 11:00 - 11:30
    Rules based systems were the traditional way to build expert systems and to automate decisions, essentially domain knowledge coded into a table as predicates with precedence and scored by a rules or inference engine or it was Domain knowledge coded by programmers in Java, C++, SQL, Perl etc. and scored in the code. Then came the Machine Learning Approach, where the system would learn from historical data with known outcomes using learning algorithms, Build models during training phase, For unknown input, use the prediction algorithm to evaluate output and eventually Rules are automatically ‘found’ by the algorithm that maps inputs to outputs. Now, we have Shallow and Deep learning which has Multiple layers in neural network with intermediate data representations to facilitate dimensional reduction, Interpret non-linear relationships in the data and Derive patterns from data with very high dimensionality The panel will discuss Approaches to analytics and when to apply which or a combination of the above (Use cases) What are the drivers for selecting an approach Organization readiness Skills Operationalization challenges

  • 11:30 - 11:50
    In a time when ad-blockers rule and all channels are going digital, how can we build authentic customer relationships? How can we make the customer come to the product instead? Anirudh Shah, Founder of 3LOQ Labs believes the answer lies in creating habitual users. In his keynote ‘Make Habits Not War’, he explains how AI tech can trigger product usage that sticks so that companies keep the customers they acquire.

  • 11:50 - 12:10
    Big data and analytics are no longer outsiders to the world of cricket, in fact, the two have been attached so well with each other that the combination has proved game-changer for many eminent teams and prominent players. With time the ways to apply Big Data Analytics has also been modified promising more accurate predictions for one of the most unpredictable game. BDB’s analytics innovation Crictix is a fusion of advanced analytics techniques to bring valuable understandings into the IPL 2018 playoffs. Crictix uses BDB’s Big Data Pipeline architecture to pull the IPL data from disparate sources and pushes into a Data Lake by unifying it through BDB ETL layer. The data then gets driven to the BDB Predictive Workbench for generating more profound insights. Finally, the overall outcomes are depicted through our appealing BDB dashboards and visual reports.

  • 12:10 - 12:30
    AI is in the thresholds of moving out from science projects to mainstream. It is becoming a critical element impacting digital transformation journeys involving customer experience, operational excellence, and new digital business models. Ganesh discusses ways in which AI has made analytic outcomes deeply contextual and actionable by impacting underlying business processes and human behaviour.

  • 13:30 - 13:50
    In today’s rapidly changing world, personal space is revolutionized through new age technologies, however industrial processes have been a slow adaptor, thanks to the conservative and conventional nature of these industries. Having exhausted all the incremental improvements around Lean & Six Sigma, leveraging new age technologies like AI, IoT and automation has suddenly become the very means of survival. Combining the disparate data sources, integrating data and performing advanced analytics to improve the industrial outcome is already transforming the processes. The next phase is cognitive analytics & optimization and with advancement in AI, it’s not very far when we will only have autonomous industrial facilities.

  • 13:50 - 14:10
    How Proschool is looking forward to empower professionals in entering the field of Analytics.

  • 14:10 - 14:30
    Weather impacts every sector of the economy. There isn’t a single business on the planet that isn’t impacted by weather. It is an unstoppable force that dictates terms to all of us, from energy prices to media, aviation to safety, food costs to retail sales, insurance claims to communication. But what if you could harness the weather to make better business decisions now using data analytics and model forecasts? Join our keynote “Decode Weather: Enhance business outcomes” to hear how we at The Weather Company are enabling businesses and their customers to make informed decisions - and take action - in the face of weather.

  • 14:30 - 15:00
    1) Needs of the Industry- imp. of Data and Machine Learning 2) Data Science skills and pathway for learning them... 3) How companies have improved their business efficiency through training 4) Trends and where is Data Science headed 5) How can UpGrad and IITB help enterprises transform their Data teams and practices

  • 15:20 - 15:40
    The meteoric rise of AI has taken the world by storm. It has become vital to develop products and AI models with respect to ‘human experience’. The deep learning algorithms not only help AI applications to constantly learn and evolve but also help keep track of what humans are teaching it and hence get better. Prashant discusses how various human interactions aids in the creation of robust and practical AI applications for everyday business needs.

  • 15:40 - 16:00
    How companies are using Analytics at core of strategic priorities to impact revenue, cost and growth. Live examples and trends across Indian and global companies