Lakshmanan Sethu Sankaranarayanan
Los Angeles, California, United States
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Lakshmanan is an award winning Technical account Manager and currently works for Google . He helps enterprise, digital native customers help migrating to cloud , very specialized in Data & AI & ML cloud solutions and currently focusing on Generative AI solutions and Responsible AI
He also recommends Cloud Architecture for customers with Cost Optimization, Availability, Scalability , Operational excellence, Performance efficiency and Reliability.He has vast experience in Strategic consulting with 10+ Fortune-500 customers in USA, UK, and Australia in Retail, Banking, Insurance, and Media and Entertainment domains.
He is 6x Google cloud certified, 2X AWS certified, 5x Azure certified, 2x Kubernetes certified,20x Microsoft certified, 2 X OCI certified technology leader with clear focus on customer empathy and delivering .architecting scalable solutions.
He is currently serving as technical advisory board - AI/ML solutions for Packt - major global book publishing organization and technical editor for generative books for Packt and Oreilly. He is currently serving as a member of Harvard business review council.
He is serving as peer reviewer for International journal - Progress in artificial intelligence for reviewing papers on Generative AI which has 4.2 impact factor.
His outstanding contribution towards community had earned him 4 Microsoft Most Valuable player (MVP) awards for his outstanding work and sharing knowledge with fellow community members in the cloud world. He is an author at C#corner and gained 4.2M views on his tech articles.
Here is linkedin profile link
https://www.linkedin.com/in/lakshmanansethu/
Here are his testimonials below
https://mvp.microsoft.com/en-us/PublicProfile/5001426?fullName=Lakshmanan%20sethu
https://social.technet.microsoft.com/profile/lakshmanan%20sethu/?ws=usercard-mini
Area of Expertise
Topics
The Good and Bad of Generative AI for Enterprise & Public sectors
Generative AI is a rapidly developing field with the potential to revolutionize many industries. However, there are also some potential risks associated with generative AI, such as the creation of deep fakes and the spread of misinformation. In this talk, I will discuss the good, the bad, of generative AI. We will start by defining generative AI and explaining how it works. We will then discuss some of the potential benefits of generative AI, such as its ability to create new content, generate insights from data, and personalise experiences for Public sector and enterprises. I will also discuss some of the potential risks of generative AI, such as its ability to be used to create deep fakes and spread misinformation. We will talk about the challenges with Generative AI and how we can address them in enterprises and Government sector.
Technical complexity: Generative AI models are often complex and require a lot of data and computing power to train.
Algorithmic bias: Generative AI models can be biased, reflecting the biases that are present in the data they are trained on.
Misinformation and fraud: Generative AI models can be used to create fake news articles, images, and videos.
Security risks: Generative AI models can be vulnerable to security attacks. This could allow attackers to steal data or create malicious content.
Lack of transparency: Generative AI models are often complex and difficult to understand. This can make it difficult to assess the risks associated with using them.
Here are some of the specific points that We will cover in the talk:
What is generative AI?
How does generative AI work and best use cases for Public and Entperprise sector?
What are the potential benefits of generative AI in public sector and Enterprises?
What are the potential risks of generative AI in public sector and Enterprises??
How can we mitigate the risks of generative AI in public sector and Enterprises?
Ethical implications of generative AI in public sector and Enterprises.
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