Strategy Adviser +
AI Expert + Entrepreneur

Shobhit Varshney is a Sr. Partner & VP in IBM Consulting. He leads the AI, Generative AI and IoT business across US, Canada and LaTAM across all the industries that IBM serves. He covers the full gamut of AI including Deep Learning, Generative AI, Contact Center AI, Unstructured Content Intelligence and Computer Vision. He holds multiple AI patents, leads hands-on large scale AI deliveries and is a trusted advisor for clients globally. He has built a reputation of leading with a Responsible AI mindset, and was recently recognized as the 2023 Technology Leader of the Year.

Current role

VP & Sr. Partner – Americas
AI, GenAI, IoT  Leader


MBA, Cornell University


AI & Strategy Consulting

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Augmenting human intelligence with an “AI+” approach

Generative AI

Helping enterprises securely and responsibly build, fine tune and prompt Generative AI models across all AI vendors. Scale them with LLMOps and drive quantified business value in production.

Cognitive Care

AI-Augmented customer care – delivering exceptional brand experiences via Virtual Agent and Agent Assist. Best-in-class enterprise AI with pre-built assets and decades of industry expertise.

Unstructured Content Intelligence

Leveraging industry-leading natural language processing (NLP) and smart document understanding to extract hidden insights from invoices, contracts, PDFs, DOCs, PPTs, scans etc. 

Cognitive Enterprise

Reinventing enterprises by exploiting “inside-out” potential of data with exponential technologies like AI, Automation and IoT. Redesigning workflows and re-igniting talent for the AI-first era.

Responsible AI @ Scale

Drive sustainable enterprise-wide innovation with scalable AI/ML models. Enterprise grade end-to-end ML Ops lifecycle for secure, transparent and trusted AI, delivered on an open hybrid cloud.

IBM Garage

Co-creating continuous & purposeful Innovation while delivering at unprecedented Speed and Scale. End-to-end model for accelerating AI

AI for Vision

Leverage Deep Learning for computer vision to derive real-time insights from video and images – deployed on edge devices or on a hybrid cloud. Pre-trained vision models accelerate time to value.

IoT Edge Computing

Deliver edge-enabled industry solutions, powered by 5G that deliver connected experiences and Industry 4.0. Autonomous robots, co-bots and drones for distributed computing and inspection.

Ideas worth spreading…

I am passionate about sharing ideas, interactive discussions, and exchanging point of views on disruptive technologies like Artificial Intelligence, Machine Learning, Unstructured data, Internet of Things, Automation, Robotics, Watson etc.

Fannie Mae

Data Luminary Lecture on Analytical decision making


Machine Learning driven Financial Planning & Investment Decisions


Performance Foresights using Cognitive Computing

National Association of Wholesaler-Distributors

Billion Dollar CEO Roundtable Keynote speaker – Applied AI and IoT

IBM THINK Conference

Leveraging AI to enhance customer engagement

Intl Consumer Protection

Responsible and Ethical AI in Global Commerce

Smart Talks

Supercharging employee experiences with AI and Twilio

Argyle Big Data Conference

Building trusted AI at Scale

New York University

Talk on leveraging Cognitive & Analytics in real world


Disruptive Technologies – Cognitive, Blockchain and Robotic Automation


Cognitive Process Automation and Image analytics using TensorFlow

Burns & McDonnell

Ignite keynote speaker – Applied AI

Customer Contact Week

Delivering exceptional Conversational AI in a heterogeneous environment

Forrester, LivePerson, Celonis

Delivering exceptional customer experiences with Conversational Insights

Allen ISD

Fundamentals of Robotics & AI for Elementary school kids

Liveperson AI series

What, Why & How of Conversational experiences

4 patents so far…

Internet Of Things @ Intel

Method and apparatus for a power-efficient framework to maintain data synchronization of a mobile personal computer to simulate a connected scenario

Sales optimization @ IBM

Reinforcement allocation in socially connected professional networks. Identifying evolving influence of key opinion leaders and optimizing sales effort to maximize impact

Consumer Behavior Prediction @ IBM

Market Share prediction under changing consumer preferences for product brand and product feature during repeat purchases

Self assembling algorithms @ IBM

Automated Self-Learning Adaptive Analytical Modeling Tool, where sequence of models and parameters are self selected to reduce error

Journey so far



As part of Ultra Mobile research group, patented software driven battery management techniques

Bloomberg LP

Project Manager

Led multiple projects in Visualization & Analytics team to deliver enhanced technical analysis on Bloomberg Terminal

IBM Chief Analytics Office

Consultant – Managing Strategy Consultant

Led strategy and analytics for global sales transformation initiatives. Projects collectively drove ~$1B benefit

IBM Global Advanced
Analytics CoC

Sr Managing Consultant – Associate Partner

Led a global cross-industry SWAT team of strategy consultants and analytics ninjas to deliver first-of-a-kind congintive solutions

North America AI
Offerings Lead

Partner, IBM Consulting

Lead the AI offerings cross-industry in Americas. Specialize in Conversational AI and ML/ Deep Learning

Americas AI Analytics Practice Lead

Partner, IBM Consulting (Present)

Lead the AI Analytics practice cross-industry in Americas. Responsible for Conversational AI, Vision AI, Content Intelligence and ML at Scale on hyperscalers

Relentless pursuit of knowledge

I have consciously tried to constantly up-skill myself to help my clients outhink disruption


Management Strategy, Analytics Center of Excellence, Cognitive Roadmap, Data Monetization Strategy, Sales Transformation, M&A, Talent transformation etc.


AI, Deep Learning, Machine Learning, Neural Networks, Markov models, Bayesian statistics, System Dynamics, Optimization, Scikit-learn, XGBoost etc.


Python, R, Javascript, SPSS, C, C++, Unix
TensorFlow, Keras, Kubernetes, Spark, PyTorch, Hadoop, Anaconda, Cloud/AI platforms (IBM, Amazon, Google, Microsoft) etc.


Photography, Adobe Photoshop/ Illustrator/ Lightroom/ After Effects, Apple Final Cut etc.

BS in Computer Engineering & Math Summa Cum Laude, Univ. of Arkansas

Full waiver Chancellor’s scholarship Dean’s list, Silver medal Penn State Math semester, 3.9 GPA

MS in Computer Science & BioMedicine

Interdisciplinary Research Fellowship at Cornell Weill, Rockefeller and Sloan Kettering Cancer

MBA with distinction Johnson @ Cornell University

Consulting focus, Deloitte Case competition winner, VP – Consulting, SABC, Community Impact

MIT, Stanford, John Hopkins – Analytics Edge, Machine Learning, Python etc.

Multiple courses in leadership, analytics and machine learning

10+ ecosystem certifications

Multiple AI, Data, Automation & Design certifications from AWS, Microsoft, IBM, Google, Salesforce, Adobe, Celonis

Champion Learner Gold

Top 5-6% of all learners at IBM
200+ hrs of learning completed each year
3+ badges earned each year