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Bring The Power Of Machine Learning To Today’s Business
May 13, 2019 @ 6:00 pm to 8:00 pm
Machine learning can allow your business to make decisions and answer questions faster and more efficiently than ever before. It has many immediate applications in areas like image and video analysis, content and product recommendations, speech recognition, and language analysis. The technology is being applied across virtually every industry, including healthcare, retail, media, financial services, and manufacturing to help businesses better serve their customers and gain significant advantages. For instance, Artificial intelligence (AI) can enhance the customer experience in a contact center, automate content moderation in media, improve healthcare analytics, forecast demand more accurately, and much more.
Nasscom Tech Series (AI edition) powered by AWS is a free event for business leaders, data scientists, engineers, IT professionals, and developers to learn about machine learning services, and real-world use cases to build innovative AI-based solutions and bring new ideas to reality. This program will help you understand how to build smart, customer-centric, scalable solutions in the cloud and on the edge.
Listen to speakers from Amazon US, Singapore and India share their perspectives on the direction in which AI is headed.
Key Takeaways :
Get insights into trends in the AI ecosystem from practitioners and ecosystem experts.
Get an overview of ML from AWS Global Product Leads
Hear about all the exciting developments in Deep Learning
Engage with the Amazon AI business and technical teams
WHO SHOULD ATTEND :
IT professionals, and developers
Time Program Agenda
06:00 pm – 06:30 pm Registration
06:30 pm – 06:45 pm Keynote by Kamal Shah, CIO, L&T Infotech
06:45 pm – 07:15 pm Building Intelligent Apps using AI services
07:15 pm – 07:45 pm Machine Learning made easy
07:45 pm – 08:15 pm Build a Reinforcement Learning model for an autonomous driving car
08:15 pm onwards Dinner & Networking
The Event is free for NASSCOM member to attend, but prior registration is mandatory. CLICK HERE to register.