DevConf.IN'19 has ended
DevConf.IN is the annual Developer’s Conference organized by Red Hat, India. The event provides a platform to the FOSS community participants and enthusiasts to come together and engage in knowledge sharing activities through technical talks, workshops, panel discussions, hackathons and much more.

All you have to do is a FREE registration here. There is no admission or ticket charges applicable to be a part of the event. All the event activities will be in English.

We are committed to foster an open and welcoming environment for everyone at our conference. We have our inclusive code of conduct and media policies, which we expect to be duly adhered during the event.

When: August 2-3, 2019

Venue: Christ University - Bengaluru, India

Click here for more updates about DevConf.

Registration Link: https://devconfin19.eventbrite.com

Last Date of Registration: 31st July, 2019

We request you to mark the talks you’re interested to help save time.
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Saturday, August 3 • 3:00pm - 4:30pm
Panel Discussion:- The AI Revolution: Gateway to success in your enterprise and career with AI

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The focus of this panel is manifold, the idea here is with a new advent of the revolution being brought about in our life, career, and jobs with AI, how do we ensure success in our ever-evolving careers and also ensure success for the enterprises, companies we work in and the businesses we run. There will be three major themes for this panel:
  1. Enabling Successful Adoption of AI in your organization: What does it really take to move from a data-driven company to be an AI-driven company? How do we tackle problems AI\Data first? What kind of workflows and processes are followed to take an AI product or solution from conception to production? How much importance should be given to understanding business problems, do we notice any gaps between the business and data scientists\engineers. How important is engineering to ensure the success of an AI product? How do we monitor the performance of AI models after production? How do we make our clients, business, C-level execs embrace change in existing processes with AI

  2. Job Roles in Data Science\AI and what they do: The ever-changing job landscape has been hit with a multitude of roles pertaining to data science and AI. We have data scientists, data engineers, ML engineers, DL engineers, data analysts, business analysts, ML architect and many more. What are some of the major job roles or rather tasks which people have to do in this field? What is a typical day in the life of a data scientist\manager? How do we measure and ensure success in these new job titles? What are some of the key use-cases panelists might have solved to drive their own careers towards success? Are creativity and innovation often dying out in larger companies which suffocate data scientists? etc
  3. How to build a successful career in data science: I’m a student, there is literally an overload of information out there with regard to data science resources, bootcamps, trainings, lectures, courses, degrees. Almost everyone seems to be “doing data science”. What do I need to learn, practice, implement and work towards so I can break into this field. What are the key pitfalls and challenges I should be careful about? How do I make sure I don’t get too deep and disillusioned into the AI hype?
Moderator: Maheshwari Dhandapani

avatar for Abhishek Kumar

Abhishek Kumar

Senior Manager Data Science, Publicis Sapient
Abhishek Kumar is a senior manager of data science in Sapient’s Bangalore office, where he looks after scaling up the data science practice by applying machine learning and deep learning techniques to domains such as retail, ecommerce, marketing, and operations. Abhishek is an experienced... Read More →
avatar for Shalini Sinha

Shalini Sinha

Director - Data Science, Numerify
Shalini Sinha has 18 years of industry experience majority of which is spent in analytics product development. Currently she is working at Numerify as Director of Data Science and prior to this she lead CRM analytics team in Oracle. Numerify is a Cupertino head-quartered startup that... Read More →
avatar for Hima Patel

Hima Patel

Research Manager, IBM Research
Hima Patel is a research manager at IBM Research Lab and leads a team of researchers that work in problems at the intersection of machine learning and NLP. Her passion is to work on research areas that help solve real business problems. Prior to IBM, she has spent time in research... Read More →
avatar for Seema Chopra

Seema Chopra

Global Technical Leader, Boeing India
Seema is working as Global Technical Leader - Data Analytics at Boeing Research and Technology, India. She has recognised as the part of Boeing Technical Fellowship and became Boeing India’s first ‘Associate Technical Fellow’ for Artificial Intelligence. Her current work includes... Read More →

Saturday August 3, 2019 3:00pm - 4:30pm IST
Classroom 105, Central Block, 1st floor