Gartner Expert

Yogesh Bhatt

Sr Director Analyst

Yogesh Bhatt, is a Senior Director Analyst in Gartner Research, covers artificial intelligence and related topics such as data science, data and analytics governance, cloud data platforms, marketing intelligence & business intelligence. In his work he is focused on future trends, strategy, innovation, governance, ethics and best practices related to AI & Analytics.

Prior to joining Gartner, Yogesh has held several leading positions in the financial, retail, consumer, manufacturing and other sectors, in both executive level and technical leadership responsibility for a myriad of data and analytics initiatives. These included applications in Enterprise BI, Data and Analytics for Loyalty programs, data strategy for enterprises and AI / GenAI Strategy and implementations. He has 24 years of Global Technology consulting experience, and brings in strong credentials including TOGAF9 certified enterprise architect, CDMP (certified data management professional).

Previous experience

Trusted advisory to CXOs and Business Stakeholders in areas of GenAI, AI, Data Governance and management, Cloud Analytics architectures and Data and Analytics strategy. Worked across domains including Financial, Retail, Consumer, Public Sector and Manufacturing clients across Globe.

Professional background

Baker Hughes a GE Company, Senior Manager Global Digital Transformation and Data Science, 1 years

Deloitte, Director AI and Analytics, 5 years

Fastloop Media Inc, Chief Data Officer, 2 years

Areas of coverage
  • Analytics and Artificial Intelligence

  • Chief Data and Analytics Officer Executive Leadership

Education

Master in Computer Applications (MCA), India

Bachelor of Science, Mathematics, India

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Top Issues That I Help Clients Address

01

Awareness, Maturity, Adoption and Use-cases for Machine Learning, AI and GenAI

02

Analytics strategy, maturity assessment and roadmap across AWS, GCP, Azure, and Snowflake, Databricks

03

Data, Analytics and related AI Architecture

04

Help Customers understand the Customer Data Platforms as key capability for personalization and customer experiences

05

GenAI, RAG and LLMs trends, architecture, use-cases at higher level concepts