Yubi organises ‘2022 &#8211; Women in Data Summit’: ​​A Ringside View with Data Power Players
Whether in a data science domain or any other industry, having a role model has always been the key driver for shaping behaviour and decisions. This makes it even more important for the women trying to create a mark in this dynamic analytics domain. Having a positive role model can always help visualise success and influence enough to strive to achieve goals. We strongly believe in the power of personal stories & role models. To that end, Yubi (formerly CredAvenue), in association with Analytics India Magazine, is organising the Women in Data Summit, where we are bringing in some industry stalwarts of the data & analytics domain along with women professionals who are trying to make a mark in this rapidly growing field. Scheduled for November 02, 2022, in Bengaluru at Radisson Blu Bengaluru Outer Ring Road, the Women in Data Summit will touch upon the riveting personal stories of some of the women leaders in our country’s data & analytics domain. The idea is to talk about the importance of role models in the data science industry & how one can draw inspiration from them. This discussion is aimed to inspire, build connections, drive change in the community & think of out-of-the-box solutions around breaking the bias. The session will also cover how organisations in today’s global economy leverage out-of-the-box solutions to ensure diversity in their team. Location:Radisson Blu Bengaluru Outer Ring Road Date:November 2, 20226 PM onwards Save your spot More about Women in Data Summit The event will start with a keynote address by Mathangi Sri, Chief Data Officer at Yubi. Mathangi is one of India’s top 50 Influential AI Leaders, with 20 patents under her name. Further, she has been recognised by INBA as one of the top 100 women in India. She also has a proven track record of building world-class data sciences solutions and teams. Following that will be an engaging presentation by Abhishek Mehrotra, Chief Human Resources Officer at Yubi. Abhishek is an HR Leader with two decades of journey across technology & engineering/R&D and social media domains. He has also led HR teams across the full spectrum of functions, including business partnering, L&D, C&B, TA, operations & compliances, including a stint in Japan as the Country HR. Post that, we will have a comprehensive roundtable discussion with some of the trailblazers of the data industry on “A Ringside View with Data Power Players: Come, Learn from the Industry Stalwarts”. A total of five leading personalities of the data & analytics domain, along with some 40+ women data scientists, will be attending the summit. And the discussion will be moderated by Karunakaran N, Vice President – of Data Engineering at Yubi. Why attend the Women in Data Summit: To learn about these inspirational women’s journeys and come up with out-of-the-box solutions for organisations to ensure diversity in their teams. REGISTER To understand the importance of role models & mentorship in your data science career growth. To network with some of the renowned women leaders of our country’s data & analytics domain and draw inspiration from their journey. Who should attend? – Women professionals with 5+ years of work experience in the analytics domain Date: 02nd November 2022Time: 06:00 PM onwardsVenue: Radisson Blu Bengaluru Outer Ring Road RSVP →
The roundtable discussion is aimed to inspire women professionals in the analytics domain to build connections, drive change in the community & think of out-of-the-box solutions around breaking the bias.
The roundtable discussion is aimed to inspire women professionals in the analytics domain to build connections, drive change in the community & think of out-of-the-box solutions around breaking the bias.
["Women in Tech"]
["data science", "Go", "API", "AI", "RAG", "Aim", "data engineering", "Women in Tech", "analytics", "GAN", "R"]
["AI", "data science", "analytics", "Aim", "RAG", "R", "Go", "API", "data engineering", "GAN"]
Tasmia is a tech journalist at AIM, looking to bring a fresh perspective to emerging technologies and trends in data science, analytics, and artificial intelligence.