AI Across Markets and Industries

With all the noise around generative AI (GenAI) since the advent of ChatGPT, has the signal gotten lost? Are we missing the one "killer app" that will make GenAI indispensable? What is more likely is that multiple killer apps will surface across many markets and industries.

Moving to Agentic AI

Intelligent agents are not new. In its April 15, 1995, issue, Datamation published my 1-3-year forecast. Agents, I predicted, would automate repetitive tasks, help with email, and coach us on managing time wisely. Sound familiar?

Fast, Accurate, Relevant, Intuitive: The Future of Search

What attributes come to mind when you consider a great search experience? You would probably say it is fast, accurate, relevant, and intuitive. You would focus on what the act of searching allowed you to achieve.

AI and Data Governance: Ensuring Compliance, Security, and Trust

Data governance has evolved. What once meant checkbox compliance now demands fundamental organizational transformation. AI systems permeate every business function, and traditional frameworks cannot handle this reality.

The Explainable AI Imperative: Why Curation Is the Missing Architecture

You've witnessed the spectacle. Large language models (LLMs) trained on the internet's vast corpus—Reddit threads, Wikipedia edits, forum arguments, and digital detritus—demonstrating seemingly magical capabilities. Yet when enterprises attempt to deploy these systems for critical decisions, they discover an uncomfortable truth—they've built Ferraris without windshields, dashboards, or steering wheels.

AI Techniques Powering Enterprise Productivity: From Automation to Augmented Intelligence

AI stands beyond experimental status—it is a founding power for corporate productivity delivery. From automating repetitive workflows to enhancing complex decision making, AI transforms how work gets done.

The Rise of GenAI and LLMs

In 1950, Alan Turing suggested a test to determine if computers could mimic human intelligence well enough that an impartial observer could no longer tell the difference. We are still talking about the Turing Test almost 75 years after its inception.

The AI-Driven Transformation of Enterprise Data Architecture

The past year has been an exhilarating one with AI and more specifically, generative AI (GenAI), quickly emerging as a transformative force, reshaping how businesses will operate, innovate, and interact with customers. As AI continues to gain prominence, its impact on enterprise data architecture is becoming increasingly apparent.

Taming the Data Quality Issue in AI

Data quality is the showstopper of AI. Many enterprise leaders who were hot on the business potential of AI are realizing that their efforts will be dead in the water if the data they are employing to train and populate their AI models is inadequate, inaccurate, or not timely.

Developing a Strong AI Governance Framework

The exponential advancement of AI technologies necessitates the implementation of robust governance frameworks to guide their responsible development and deployment.

Upskilling and Reskilling in the Age of AI

The AI revolution is upon us. A tidal wave of AI technology is sweeping across businesses, fundamentally reshaping how employees, managers, and AI system developers approach their work.