GenEye: Secure & Observe your Azure Open AI Business Applications

 
English Intermediate Other

Speakers

Kushal Mukherjee

Associate Director - Data Science at Rakuten India

As an Associate Director of Data Science at Rakuten India, I lead a team of talented data scientists who leverage Artificial Intelligence, Data Science, Machine Learning, and Generative AI to create innovative solutions for various businesses of Rakuten including e-commerce, fintech, and telecom. With over 13 years of industry experience, I have a proven track record of delivering impactful business outcomes and driving data-driven culture across the organization. My mission is to harness the power of data and AI to transform the customer experience, optimize the operations, and generate new revenue streams for Rakuten India. I am passionate about exploring new frontiers of Generative AI and applying them to real-world problems. I am also an active contributor to the data science community, having been recognized as one of the 40 under 40 data scientists, one of the top 20 most influential data champions, and a LinkedIn top voice.

Vinay Jain

Group Product Manager - Rakuten India

With a blend of entrepreneurship and deep expertise in SaaS B2B enterprise technology products, I lead data products as a Group Product Manager at Rakuten. Over the course of my career, I have seamlessly transitioned from founding and scaling my own e-commerce & technology start-ups to leading innovative product teams in large-scale corporate settings. Currently, I am focused on leading the development of innovative data products powered by Generative AI technologies for Ecommerce, Telecom, Fintech and AdTech domin. My work involves enhancing data analytics capabilities and integrating AI to solve complex business problems, thereby driving substantial value for 70+ Rakuten businesses. My strategic vision is complemented by hands-on approach in overseeing the product lifecycle, from ideation through to execution and market launch. My entrepreneurial spirit drives me to solve new problems in Data and AI space, while actively collaborating and contributing in tech community.

Code of Conduct

We seek to provide a respectful, friendly, professional experience for everyone, regardless of gender, sexual orientation, physical appearance, disability, age, race or religion. We do not tolerate any behavior that is harassing or degrading to any individual, in any form. The Code of Conduct will be enforced.

Who does this Code of Conduct apply to?

All live stream organizers using the Global Azure brand and Global Azure speakers are responsible for knowing and abiding by these standards. Each speaker who wishes to submit through our Call for Presentations needs to read and accept the Code of Conduct. We encourage every organizer and attendee to assist in creating a welcoming and safe environment. Live stream organizers are required to inform and enforce the Code of Conduct if they accept community content to their stream.

Where can I get help?

If you are being harassed, notice that someone else is being harassed, or have any other concerns, report it. Please report any concerns, suspicious or disruptive activity or behavior directly to any of the live stream organizers, or directly to the Global Azure admins at team@globalazure.net. All reports to the Global admin team will remain confidential.

Code of Conduct for local live streams

We expect local organizers to set up and enforce a Code of Conduct for all Global Azure live stream.

A good template can be found at https://confcodeofconduct.com/, including internationalized versions at https://github.com/confcodeofconduct/confcodeofconduct.com. An excellent version of a Code of Conduct, not a template, is built by the DDD Europe conference at https://dddeurope.com/2020/coc/.