Prasoon Kumar

Formerly known as Wipro ai360 platform, the product is a B2B SaaS offering, which accelerates the adoption of GenAI across industries. enhance efficiency across business functions! This cutting-edge platform utilizes state-of-the-art LLMs and already boasts over 1000 agents.

It's a leap beyond the Prompts!! A definition is in order. LLM agents are advanced AI systems designed for creating complex text that needs sequential reasoning. They can think ahead, remember past conversations, and… Show more

Formerly known as Wipro ai360 platform, the product is a B2B SaaS offering, which accelerates the adoption of GenAI across industries. enhance efficiency across business functions! This cutting-edge platform utilizes state-of-the-art LLMs and already boasts over 1000 agents.

It's a leap beyond the Prompts!! A definition is in order. LLM agents are advanced AI systems designed for creating complex text that needs sequential reasoning. They can think ahead, remember past conversations, and use different tools to adjust their responses based on the situation and style needed.

Wipro Chat enhances employee productivity, in HR, marketing, customer support, PR, Ops and a myriad of other roles. Generate content and tackle tasks within your enterprise. Use state of the art LLM's like GPT 3.5, 4.0 or Google PaLM, Gemini and others to compare and optimize outputs for your scenario.

Wipro Document Chat analyses, summarizes, and generates insights from file(s). You can use this with pdf's, ppt's, doc files and various other formats. This app excels in content analysis, summarization, and generating valuable information based on your existing unstructured data sets.

The following make it enterprise-ready:
1. Guardrails on security, role based, content, response, and Profanity.
2. Fully SaaS capable and secure from the ground up - anchored on Microsoft Azure Cloud

The platform has both UI and API. Its usage by a subset of over 240K Wipro associates has been nothing less than a revolution of the sort. Show less

Data streaming use cases can involve any situation that demands a real-time response to events—anything from financial transactions to data science. Visa embarked on using Apache Kafka in a big way in 2015-16. For all its benefits, Apache Kafka can be challenging to deploy at scale in a hybrid cloud environment. I led the building a multi-tenant Kafka service on our private cloud consisting of the data centers in Virginia and Colorado. Scaling requires careful orchestration to make sure… Show more

Data streaming use cases can involve any situation that demands a real-time response to events—anything from financial transactions to data science. Visa embarked on using Apache Kafka in a big way in 2015-16. For all its benefits, Apache Kafka can be challenging to deploy at scale in a hybrid cloud environment. I led the building a multi-tenant Kafka service on our private cloud consisting of the data centers in Virginia and Colorado. Scaling requires careful orchestration to make sure messaging services behave as expected and no records are lost. It enabled application developers across Visa for a faster adoption cycles. They also had a trusted advisor, who could onboard them with correct configuration for #partitions, ack settings for their workload. Show less