Pranay Chanda
Cognizant Consulting - Senior Consulting Partner
Scottsdale, Arizona, United States
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Technology Modernization Leader with over 25 years of experience partnering with C-suites around digital strategy and transformation of their global enterprises into modern businesses translating data into actionable insights.
Deep expertise in cutting edge technology solutions built on Human Centered Product Engineering, Data Science & Statistics, Cloud platforms, Big data, AI & Analytics, and Generative AI/ML algorithms.
Area of Expertise
Topics
MLOps in Data Science: A natural progression of Agile & DevOps principles
In past several years, AI and Analytics have revolutionized business and IT operating models through intelligent automation using machine language model. It fostered enterprise agility, creativity, and innovation unlocking key competitive advantages.
MLOps practices extend on Agile and DevOps nurtured and matured in past two decades, applied to AI/ML model development, testing, deployment, monitoring, and maintenance lifecycle.
With unlimited new use cases, an enterprise need to upskill and ramp-up, to experiment and monetize these AI opportunities.
In this talk, we will discuss how MLOps is natural progression from Agile and DevOps. Review the MLOps lifecycle, focusing on similarities and differences. Conceptual MLOps team and architecture design.
This talk will conclude with best-in-class principles, and initial roadmap to get started with MLOps journey in their companies.
In 5-minute, from product requirements to epics, features, stories, acceptance criteria' with GenAI
In coming years, Generative AI tools and technologies will revolutionize business and IT operating models by automating tasks, with human and machine language models, fostering creativity and innovation. It will drive data-driven, decision-making, ultimately reshaping processes and unlocking growth.
How can we quickly harness its power without coding knowledge, as competitive advantage accelerates and improve quality of our software development lifecycle? In this workshop, with minimal learning curve, our participants will learn basic and structured prompt engineering.
As business analyst, product manager/leader we can leverage vast industry specialized domain datasets of large language models (LLM), transition from high level product concepts to generated contextual epics, features, user stories and its acceptance criteria's.
This workshop with instruction handouts will enable audience to learn and execute real time examples, review case study, take it back to their companies, share and kick start their Gen AI journey. What you need is a phone or tablet with internet.
Gen AI CoE : Generate ROI and drive enterprise agility on Gen AI investments.
In coming years, Generative AI tools and technologies will revolutionize business and IT operating models by automating tasks, with human and machine language models, fostering creativity and innovation. It will drive data-driven, decision-making, ultimately reshape business processes and unlock growth.
We see organization leadership struggle to drive enterprise agility across their Gen AI investments and opportunities knocking at their doorsteps, capturing risks and ROI.
We need GenAI CoE Hub playing authoritative role with dedicated experts, who drive new Gen AI pilots, with ethical approach to gain trust using responsible AI governance policies.
In this talk, we will introduce Gen AI Objectives and its enablement challenges. Using learnings from the industry, we will review how to setup Gen AI CoE with its target operating model, key functions, and hub & spoke organization design.
This talk will conclude with how to get started with Gen AI CoE , which participants can take back to their companies, share and kick start their Gen AI journey.
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