About The Convergence of BIG DATA and Machine Learning (Mumbai Meetup)
You are invited to join us at this Intel AI Meetup for a session of learning and networking at the CoWrks, Worli Mumbai on 29th September from 09:00AM -1:30 PM. Join us to see how the AI community is advancing and solving complex problems.
- AI Meetup to explore AI technologies ranging from the Intel® AI DevCloud to popular frameworks and tools
- Lightning talks, Great content from Industry speakers, Enhance your skills on ML/DL along with Big Data techniques to be applied for Speech Recognition, Machine Translation, Text to Speech, NLP etc. Learn more from Intel Student Ambassador & Innovators on their research projects with Intel® AI DevCloud
Come learn about Big data technologies, aided by artificial intelligence will be a major enabler to achieve this. This talk will focus on impact of emerging technologies in the future with sample use cases in financial/telecom domains with Nishant Kumar Agrawal - Head of Data Center and HPC, Asia Pacific & Japan (APJ region), Developer Relations Division at Intel Corporation. Connect with Like-Minded Developers, refine your Techniques and move to a higher skill lever through collaboration with other developers.
Why Should you attend this meetup:
Attendees will gain experience with Intel®️ platforms, network with peers and experts, and gain insight on recent technology advances to maximize software efficiency from Intel leaders and real world examples from Intel.
There has been a growing trend to adopt Big Data/In-Memory computing technologies to address an important insights into the business. Driving the customer experience to build loyalty and new revenue models will be of major importance across domains in the coming years. Big data technologies, aided by artificial intelligence will be a major enabler to achieve this. This talk will focus on impact of emerging technologies in the future with sample use cases in financial/telecom domains.
Enhance your skills on ML/DL along with Big Data techniques to be applied for Speech Recognition, Machine Translation, Text to Speech, NLP etc.
Get an Overview on various topologies, demand one can place on the hardware and tools to run such workloads on Intel compute assets.
Who should attend this meetup:
- Data Scientists,
- Champions/Influencers and
- Aspiring Data Scientists
|09:00 AM||: Registrations|
|09:30 AM||: Welcome & Introduction by Analytics Vidhya|
|09:45 AM||: Introduction by Intel followed by Keynote session on " The Convergence of Big Data and Machine Learning " - Sachin Kelkar|
|10:30 AM||: Industry Session on "Asking right questions to build better Artificial Intelligence/ Machine Learning Models" by Roopam Upadhyay|
|11:15 AM||: Tea Break|
|11:30 AM||: Session & Demo on "Emerging technologies and trends in Analytics domain using AI & Big Data"- Nishant Kumar Agrawal|
|12:15 PM||: Industry session on "Unboxing Blackbox Algorithms to White Box: Interpret Machine Learning Models" by Arihant Jain|
|01:00 PM||: Intel Case study presented by Abhishek Potnis|
|01:30 PM||: Lunch & Networking (Closing)|
Head – APJ Scale Software Program , Intel Software & Services Group
Sachin Kelkar is the Head for Scale Software Program for Asia Pacific region for the Intel Core and Visual Computing Group – Developer Relations Division. In this role , he focuses on developing the software solutions market across Asia Pacific by working with key software companies and software developers. Sachin drives the developer evangelism in the areas of AI (artificial intelligence ) , IoT and Game Development . Sachin drives business relationships and developer engagements with Independent Software Vendors ( ISVs) , System Integrators and software developers in the region across consumer and enterprise segments.
Sachin has worked with Intel for 15 years in the areas of developer engagement, software marketing and solutions engineering. He has worked on key projects of local language enabling , mobile application development , IoT and partner marketing. Prior to Intel, Sachin has worked in Microsoft and Citrix and has an experience of @ 20+years in the software and telecom industry. Sachin earned his Bachelor’s degree in Electronics Engineering from Shivaji University in 1992 , followed by a Masters’ degree in Management from Mumbai University.
Head of Data Center and HPC, Asia Pacific & Japan (APJ region), Developer Relations Division at Intel Corporation.
Nishant is heading Data Center(Deep learning/Machine learning, Cloud service providers, Big Data/In-Memory Computing, Enterprise software, NFV/SDN) and High performance computing (HPC) software application engineering technical team for APJ region. Handling complex programs involving cross-functional teams based in multiple geographic locations.
He holds an B.Tech degree in Computer science from Raipur University and completed Executive Programme in Business Analytics from ISB Hyderabad. He has been granted 10 patents in multiple geographies. Published multiple research & white papers, conducted workshops, invited talks at tier 1 international conferences.
Last year Nishant has been selected in Top 10 scientists list of participants from India for BRICS Young Scientists Conclave 2016. He has represented India from Computational Intelligence area.
Manager - Big Data and Advanced Analytics at Vodafone Idea Limited
Arihant is working as Data Scientist with Close to 5 years of experience in Data Science, Deep Learning, predictive Modelling, Machine Learning ,optimization, & business consulting. He has experience in building Machine Learning / Deep Learning models in Retail, Credit Risk ,marketing ,collection ,customer service & Digital across Banking , Digital , Industrial & Telecom domain.
He is passionate about solving business problems through data science. He believes every number has a story to tell. Being a data scientist it’s his job and passion to decode that story.
He holds an B.E. degree in Mechanical Engineering from Jabalpur Engineering College , Jabalpur (JEC)
Ph.D. Student at Indian Institute of Technology Bombay, Intel Student Ambassador
Abhishek Potnis is a Ph.D. student in the GeoComputational Systems Lab at CSRE, Indian Institute of Technology Bombay. The broad areas of his research include Geospatial Semantics, Deep Learning, Data Visualization and High Performance Computing. His research primarily focuses on improving the Semantic Understanding of Satellite Imagery during a Flood Scenario in context to the Disaster Assessment and Management activities.
He has been a two-time Google Summer of Code student in the past for the organizations - Cesium in 2015, where he worked on processing and visualizing 3-Dimensional LiDAR data from the CALIPSO satellite; and Liquid Galaxy in 2016, where he worked on enabling Cesium - a geospatial 3D mapping and virtual globe platform, for a panoramic experience on the Liquid Galaxy hardware. Abhishek is an open source enthusiast and has been a core code contributor to his favorite web browser Mozilla Firefox. He earned his Bachelors Degree in Computer Engineering from University of Mumbai in 2013 before joining IIT Bombay for his M.Tech. in Geoinformatics. When not at his terminal or engrossed in a sci-fi thriller novel, he enjoys travelling places, capturing and captioning the world through his camera.
CoWrks, Birla Centurion Century Mills Compound, Pandurang Budhkar Marg, Worli, Mumbai, Maharashtra 400030