As AI, ML change how organizations think and operate, and the amount of data keep doubling every two years as an ever-morphing mix of traditional enterprise data, video, geolocation and more. The first talk will cover best practices to adopt and pitfalls to avoid in order to unlock value from data in the enterprise using data science, you will learn about what it takes to successfully deliver value from data science initiatives.

In the second talk, we will cover introduction to internals, including enterprise use cases, of how distributed machine learning can be best leveraged today - in this session, you will learn about:

• Why distributed Machine Learning?
• Distributed Machine Learning using Spark
• Distributed Deep Learning using Tensorflow
• Distributed Machine Learning and Cloud

Agenda:

09:30 am: Registrations

10:00 am: Welcome & Introduction Session (Qubole & Analytics Vidhya)

10:30 am: Activating Data Science in the Enterprise by Rangasayee Chandrasekaran

11:15 am: Distributed Machine Learning in Cloud Speaker by Somya Kumar & Vipul Modi

12:00 pm: Continuous Integration and Delivery for Data Scientists by Jaidev Deshpande

12:30 pm: Hack session: Introduction to deep learning using TensorFlow by Faizan Shaikh

13:30 pm: High-Tea/ Networking

Speakers:

Rangasayee Chandrasekaran

Senior Product Manager, Qubole

Ranga is a product leader with 5+ years of experience in the product function. Currently, he works as a senior product manager at Qubole and focuses on serving big data needs of enterprises at a reduced total cost of ownership. He helps organizations succeed by identifying the right problems to solve by staying close to the customer and mapping the organization’s strengths. In the past, he has worked at companies such as Qualcomm & InMobi to bring valuable products such as 4G LTE chipsets, mobile advertising solutions, applications to the marketplace.

Jaidev Deshpande

Pratice Lead - Data Science at Juxt Smart Mandate

Jaidev is the practice lead for Data Sciences at JSM Analytical Solutions Pvt Ltd. He has six years of experience in data science and scientific software development. He specializes in building end-to-end machine learning pipelines for data driven products, and is an active contributor to the scientific Python software stack.

Somya Kumar

Software Engineer, Qubole

Somya is a BITS Pilani, Hyderabad campus graduate. She has been working in Qubole for 2 years. She worked as part of Cluster Management team where she added support for Spot Block instances and Oracle OPC cloud. She is currently working in Data Science team where she manages Deep Learning Clusters.

Vipul Modi

Software Engineer, Qubole

Vipul is Experienced Software Engineer with a demonstrated history of working in the internet industry. Skilled inJava, SQL, ROR and Big Data Technologies (esp. Apache Spark). Strong engineering professional with aMSc. (Tech) focused in Information Systems from Birla Institute of Technology and Science.

Faizan Shaikh

Data Scientist at Analytics Vidhya

Faizan is a Deep learning enthusiast. He aims to utilize his skills to push the boundaries of AI research.Currently at Analytics Vidhya, he has been deep diving into Deep learning research and applications in domains of Image and Speech processing.

Venue:

CoWrks Tower A, Paras Twin Towers, Golf Course Road, Sector 54, Gurugram

Reserve your seat and we'll get in touch with you.