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AI is no longer a lab experiment or a proof-of-concept – it’s now deeply integrated into business operations, influencing decisions that move markets, shape customer experiences, and optimize billion-dollar supply chains.

Healthcare is undergoing a major transformation, driven by patients’ increased expectations for precision care and the accelerating force of data-driven intelligence.

In today’s enterprise AI and data projects, 60–70% of initiatives miss deadlines or overshoot budgets.

When I started as Quality Assurance on our recent GenAI project turning unstructured SOWs into structured insights, I thought I knew what testing meant.

In the late 90s, adding “.com” to a company name made it look like part of the internet boom even if it wasn’t.

I have consulted and worked with many Fortune 500 clients, helping them turn data into decisions

Every day, your teams generate large amount of data, on the factory floor, out in the field, and in procurements records.

Over the past year, more and more businesses that started with a SaaS-first approach are now choosing to move toward Microsoft’s connected platform.

Over the past year, more and more businesses that started with a SaaS-first approach are now choosing to move toward Microsoft’s connected platform.

AI models age fast but what if they could learn in real-time? With TAO in Databricks AI Builder, models adapt instantly using live data, cutting retraining costs and boosting agility. Here’s how self-evolving AI is reshaping enterprise innovation.

Today there are many enterprise data platforms, recent announcements from major players have revealed fascinating shifts in strategy and technology. Here’s what enterprise leaders need to know about the changing landscape.

Today there are many enterprise data platforms, recent announcements from major players have revealed fascinating shifts in strategy and technology. Here’s what enterprise leaders need to know about the changing landscape.

What if your product packaging could do more? If you belong to the packaging or the paper industry, you’ve probably noticed the massive shift toward sustainability and digitalization in recent years.

When organizations decide to implement AI solutions, they face an important and sometimes confusing choice: should they build their own system, buy an existing one, or go for a mix of both?

The saying “Data is the New Oil” has been around for a while, and just as oil powered the industrial age, data drives the modern digital world.

Imagine exploring through the vast sections of a large global e-commerce site with millions of products. The magic behind those instant, spot-on product recommendations? Vector databases.

Imagine exploring through the vast sections of a large global e-commerce site with millions of products. The magic behind those instant, spot-on product recommendations? Vector databases.

Efficiently retrieving relevant information from vast datasets is crucial and has multiple industry use cases. Vector embeddings are revolutionizing how we search and interact with data.

We have successfully used document chunking to enhance our clients’ data processing capabilities across numerous use cases, delivering exceptional results.

We have successfully used document chunking to enhance our clients’ data processing capabilities across numerous use cases, delivering exceptional results.