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Transformational Leadership  |  Tech Innovation  | The Future of Tech   |   Business Leadership

Bridging the Historical Divide Between IT and Business

Since the early days of enterprise computing, IT and business teams have operated with distinct responsibilities, processes, and — most importantly — languages. When organizations began adopting digital systems in the 1950s, they required technical specialists to communicate with machines using emerging programming and query languages. Business users, by contrast, continued to operate in natural language. This divergence created an operational gap where IT became the...

From Data Pipelines to Decision-Makers: Why Cloudera Is Investing in Enterprise AI Agents with CrewAI

What’s fueling the AI innovation at major enterprises? It’s an easy answer, right? It’s reliable, trustworthy, and impactful data. While true, there’s more to the answer here — gathering that data is only one piece of the puzzle.
With traditional analytics and machine learning, the focus was always applied to uncovering actionable insights, but in an AI-driven world, we’re empowering agents to act on this data autonomously with little to no human intervention.  
Capitalizing on the rise of AI ag...

Why AI-Driven Insight Can’t Be a Cloud-Only Privilege

Over the past decade, I’ve worked with data leaders in just about every industry. When push comes to shove, the message is always the same: everyone needs better insights, faster. But those insights can’t come at the cost of control. 
It’s no secret that analytics and AI are driving transformation at scale. But what some don’t realize is that most of those innovations have been designed for the cloud, leaving a huge segment of the enterprise ecosystem – primarily those with on-prem environments...

How Leading Industries Are Putting Agentic AI to Work

Agentic AI is no longer a distant frontier; it’s already reshaping how industries operate. In just the past two years, investment in agentic AI has surged, prompting Cloudera to survey IT leaders across 14 countries to understand how global enterprises are embracing this next wave of intelligent automation. You can read my initial overview of the survey here.
While we discovered several nuanced use cases, one near-universal finding emerged: The time to invest is now. In fact, 83% of organization...

2025 Is the Year to Adopt AI Agents: Cloudera Survey

It’s clear that AI agents are enabling a new realm of productivity and efficiency gains – AI assistants that not only generate content but take action – which is why enterprises are looking to agentic AI to reimagine workflows, productivity, and innovation. But what will that look like in practice, and where should enterprises focus their agentic aspirations? Cloudera’s recent global survey of enterprise IT leaders suggests that 2025 is the year we find out. 
Survey respondents believe that the...

IT Leaders Are Leveraging AI Agents to Unlock Autonomous Transformation in 2025 | APMdigest

In 2025, enterprise workflows are undergoing a seismic shift. Propelled by breakthroughs in generative AI (GenAI), large language models (LLMs), and natural language processing (NLP), a new paradigm is emerging — agentic AI. This technology is not just automating tasks; it's reimagining how organizations make decisions, engage customers, and operate at scale.
Data backs this perception — according to recent insights from Cloudera, 96% of IT leaders plan to expand their use of AI agents over the...

True Hybrid Cloud Explained — One Platform, Endless Flexibility

You know it, we know it, we all know it: Data is the foundation of every modern business decision. Unfortunately, though, many organizations struggle to manage it effectively. Siloed environments, inconsistent governance, and fragmented infrastructure create inefficiencies that slow innovation and increase costs. While hybrid cloud has been positioned as a solution for some time now, many implementations fall short, lacking seamless data integration and leaving organizations with the same challe...

What Does it Take to Be an Impactful Data Leader?

Clearly, there is no prescribed set of skills, experiences, attitudes, or behaviors that when consistently exhibited will guarantee a data leader any measure of success. Ask a group of high-functioning data leaders what it takes to engender success in their role.Although they may appear to disagree on the surface, their insights — forged in battle, refined in loss, and verified in victory — gravitate around common themes.Depth of fieldFor a CDO, vision is not merely an attribute or an exercise,...

LLMOps: Turning AI Experiments into Business Outcomes | APMdigest

This year, several data leaders began thinking about Large Language Model Operations (LLMOps) at a pivotal moment: when promising AI experimentation was ready to be transformed into business value. That's when the factory floor stopped. Quizzical practitioners and befuddled leaders debated questions they had foreseen but not answered — questions that could be summed up as:
How are we going to operationalize AI?
They would have benefited from an understanding of LLMOps during their experimentatio...

Metadata Chaos? How Cloudera and Octopai Are Bringing Order

As someone who works closely with data professionals every day, I watch them forecast trends, predict outcomes, and prescribe actions that lead to informed decisions and business success. From analyzing customer behavior to identifying risks like fraud or cyber threats, to guiding product development priorities, their impact is felt across the organization. But none of this is possible without strong metadata management.When data professionals can quickly access trustworthy information, they can...

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