Real Estate’s Billion-Dollar AI Opportunity
$975 billion: ai proptech market in real estate The global commercial real estate industry handles nearly $4 trillion in transactions1. Yet much of its data — an untapped goldmine —…
Master the Data, Agentic AI, and Responsible Governance frameworks needed to drive $1M+ business transformation in any industry, with a specialization track for Real Estate and Supply Chain.
The Enterprise AI Board Certification is not just a course—it’s your roadmap to becoming a certified AI leader capable of defining, building, and deploying responsible, high-impact AI solutions. Developed and backed by the visionaries at Data-Hat AI, this program teaches you to turn complexity into clarity and data into strategic action.
To redefine enterprise decision-making by empowering every business team with intelligent, responsible, and human-like AI agents that seamlessly understand, analyze, and act on data and transform complexity into clarity and insight into impact.
Effective utilization of Data through AI for improved business performance.
Kshitij Kumar (KK) has served as Chief Data Officer and Enterprise Board member across prominent organizations including Haleon, Farfetch and OneFootball. Throughout his career, he has consistently demonstrated exceptional expertise and innovation in leveraging Data, AI/ Generative AI, Machine Learning technologies, Responsible AI, and AI Governance to drive transformative business outcomes.
As KK journeyed through different industries (from pharma to sports and from manufacturing to retail), he realized that the core problem that Enterprises faced was Big Data. Before an Enterprise could begin with any AI solution they needed to clean, sort and connect data. The GenAI and Agentic AI solutions available often solve part of the Enterprise problem. So, he gathered the World’s best AI and ML engineers to form Data-Hat AI, an Enterprise-level solution provider, developing GenAI and AI Agent tools that monetize Data and automate end-to-end business process.
KK is recognized among the World’s Top 100 Chief Data Officers (2023, 2024), Top 100 Data Influencers (2024), and Top 40 Chief AI/Analytics Officers. KK was also a member of the Gartner Data and AI Board. His expertise lies in building advanced data ecosystems that drive organizational transformation and competitive advantage.
Don’t get left behind. Businesses that embrace AI transformation are outpacing those that don’t. Take the definitive step to lead your enterprise into the future.
Discover how we leverage cutting-edge Generative AI and Agentic AI solutions to drive innovation and empower your enterprise with custom AI solutions designed for real-world impact.
Learn directly from the methodologies that power Data-Hat AI’s successful enterprise deployments. Our curriculum is constantly updated with real-world agentic AI use cases in partnership with industry leaders like Mistral AI, OpenAI (ChatGPT), and Claude.
Move beyond theory. Our project-based modules train you to:
Your certification is validated by the team led by Kshitij Kumar (KK), a recognized Top 100 CDO and former member of the Gartner Data and AI Board. You are learning the exact principles that have driven transformation across multiple major global enterprises.
“Effective utilization of Data through AI for improved business performance is our mission. This certification delivers on that promise.”
— Kshitij Kumar, Founder, Data-Hat AI
Explore the latest insights on Generative AI and Agentic AI from Data Hat AI. Find articles, case studies, and expert analysis on AI applications.
$975 billion: ai proptech market in real estate The global commercial real estate industry handles nearly $4 trillion in transactions1. Yet much of its data — an untapped goldmine —…
Introduction Businesses that adopt AI will outpace those that don’t. Yet, amid the excitement about sophisticated algorithms and powerful computing infrastructure, many organizations overlook the most critical component of…
Executive Summary As organizations increasingly adopt generative AI solutions, the need for accuracy, reliability, and contextual relevance has never been more critical. This white paper examines how Retrieval-Augmented Generation (RAG)…