Rajeshwari Ganesan’s Post

As organizations look for business value in generative AI, the focus sharpens on trust and ethics, driving new ways of thinking about and demonstrating explainability. Read as Rajeshwari Ganesan and Harry Keir Hughes explain how coupling large language models with a responsibly designed framework enhances explainability and eases concerns. #AI #artificialintelligence #generativeai #explainableai http://infy.com/49PXUtZ

Based on the all work we have done internally to be AI First and with our clients on AI and Generative AI programs, we have published Top 10 AI imperatives for 2024. Infosys Topaz

➡️Registration is now OPEN!⬅️ Join us for the 8th Annual Analytics Symposium on March 7th, 2024. This year's theme is "Transforming Businesses through Generative AI: Challenges and Opportunities". This year's speakers include Aamer Charania, Babar Bhatti, and Keynote Speaker Rajeshwari Ganesan. Event website: https://lnkd.in/d8G8c7rY Registration: https://lnkd.in/gqinC2BZ

*Save The Date* The 8th Annual Analytics Symposium, brought to you by the Center for Innovation and Digital Transformation, will be held on March 7, 2024. This year's theme is "Transforming Businesses Through Generative AI: Challenges and Opportunities." For more information about the symposium and sponsorship opportunities, please email Santoso Budiman, PhD at santoso.budiman@uta.edu. https://lnkd.in/d8G8c7rY #Analytics #BusinessAnalytics #AI #Transformation #UTABusiness #BusinessMavericks The University of Texas at Arlington Rajeshwari Ganesan Aamer Charania Babar Bhatti

Human involvement and governance remain critical to validate and interpret AI outputs. Tune in to this episode of the AI Interrogator as Rajeshwari Ganesan, leading expert on ML and AI, talks to Kate Bevan about why ethical AI is the need of the hour. #AI #artificialintelligence #generativeAI #ethicalai http://infy.com/3NcSNuP

Teladoc Health, a global leader in whole-person virtual care, is at the forefront of Healthcare transformation. In the next edition of Pacesetters, I met up with Claus Torp Jensen, the Chief Innovation Officer of Teladoc Health, which serves over 85 million members. Teladoc is a firm that we all know became the standard of virtual care during the pandemic, but in the post-pandemic world, the virtual care landscape is rapidly changing. The lines between in-person and virtual care are increasingly blurred, and Teladoc is powering this change.   We broadly discussed the following -   1) Healthcare industry trends and what Teladoc is all about (Did you know that the name Teladoc originated from the phrase "Telephone a doc?")   2) The shifting trends driven by increasing healthcare costs and why employers are insisting on mixing up virtual/in-person care and even incentivizing virtual care   3) Teladoc's focus on AI and how they are looking to materially change client care using over 60 proprietary AI models to deliver consumer grade patient experience in care journeys, including solving the "village doctor paradox"   4) A dive-in on mental health and how a combination of virtual care and AI can make a dramatic impact on improving outcomes   5) Teladoc's recent announcement of automating clinical documentation, resulting in making patient experience far superior and visits more efficient   6) Teladoc's international expansion plans and the challenges they entail   I loved this edition of Pacesetters with Claus and I hope you enjoy it too! Infosys Healthcare Pramod Pratap

#TeachAI, a partnership between Code.org, ETS, ISTE, Khan Academy, and the World Economic Forum held its third advisory committee workshop on Oct 31-Nov 1 as a pre-conference to Code.org's #csedcon23. We opened up with a few rounds of a tried-and-true networking activity (e.g. get into groups of 4 people from different countries and share your conference goals). Then we heard global perspectives on AI from Zelmira May from UNESCO, James Curran from Grok Academy, and Juan-Pablo Giraldo from UNICEF, and flash talks from Pete Just from Consortium for School Networking (CoSN), Marie desJardins, and Glenn M. Kleiman - whom I always ask about lessons learned from previous ed tech waves. Glenn’s answer: We learn from our mistakes and then make new ones. One of my takeaways from the AI literacy conversation was the increased importance of culturally relevant pedagogy in an age of AI since the data that LLMs are trained on inherently reflect cultural bias. Intentional prompting and built-in guardrails help, but specific applications need to be created to preserve cultural knowledge, and students must be taught to understand where the data comes from and how to critically evaluate outputs. Ex: Kara Bobroff emphasized how AI literacy should be incorporated into existing frameworks for indigenous education - not just content, but purpose. I look forward to partnering with indigenous communities and orgs like AISES and Indigenous in AI/ML. Shout out to my colleagues Pam Vimonmas Vachatimanont and Charlotte Dungan for leading workgroups on AI Policy, the Future of CS Ed, and AI Literacy. We hope to share more about what we are learning from these global thought leaders.

Open models offer customization and transparency. However, they lack transparency and disclose little about their training and architecture. Read this article by Infosys Knowledge Institute on how firms must pick the right #AI models: infy.com/3s9ANuh Harry Keir Hughes Rajeshwari Ganesan #ResponsibleAI #AIbias