By 2025, one in four enterprises using Gen AI will have AI agents in place, and that number will double by 2027. As organizations race to integrate these intelligent technologies, the spotlight is on agentic automation, a transformative approach reshaping how businesses operate. Right now, enterprises are at a key turning point.

Organizations are moving beyond simple automation towards a future where systems are intelligent enough to tackle complex tasks with minimal human intervention. Agentic workflows are the driving force behind this shift. According to Gartner, a staggering 33% of enterprise software applications are projected to integrate agentic AI by 2028, enabling them to autonomously make decisions for as much as 15% of routine work.

With data streaming, public sector organizations can better leverage real-time data and modernize applications. Ultimately, that means improving the reliability of services that agencies and citizens depend on, enhancing operational efficiency (therefore cutting costs), and delivering critical insights the moment they’re needed.

Consumer offsets are at the heart of Apache Kafka's robust data handling capabilities, as they determine how data is consumed, reprocessed, or skipped across topics and partitions. In this comprehensive guide, we delve into the intricacies of Kafka offsets, covering everything from the necessity of manual offset control to the nuanced challenges posed by offset management in distributed environments.

Organizations everywhere are in hot pursuit of competitive advantages, seeking out and implementing artificial intelligence technologies ranging from GenAI to sophisticated machine learning systems. Yet, despite massive global investments that are projected to reach $375 billion in 2025, many enterprises remain disappointed with their AI initiatives’ real-world results. Why is it that so many AI projects are failing to deliver on their promise? The answer isn’t in the algorithms themselves.

Teams are spending as much as 71% of their time on administrative tasks and manually entering data. But what if there was a way to automate all their repetitive work so they could focus on performing higher-order tasks, creating value, and driving actual ROI? That’s what AI agents can do for you.

AI agents are all the rage these days. Poised as the next big thing after Gen AI…is there substance underneath all the hype? The answer is a resounding yes. For instance, the 2024 State of AI Agents report revealed that 51% of AI professionals are already using AI agents, while 78% of enterprises and mid-sized companies have active plans to put AI agents into production. However, doing this successfully requires paying attention to certain key factors.

The workplace is on the brink of a transformation unlike anything we’ve seen before. With the rise of AI agents—autonomous software entities capable of executing tasks, making decisions, and even optimizing workflows—the way we define work itself is evolving. While automation and AI-assisted processes have been gradually reshaping industries, the concept of the agentic enterprise takes this a step further, shifting from AI as a tool to AI as an active participant in business operations.

There is a well-worn adage attributed to famous early American statesman and inventor Benjamin Franklin, who purportedly said, only two things in life are guaranteed: death and taxes. So it’s not without some sense of irony – Tuesday having been “Tax Day” in the U.S. (April 15, the day annual income taxes are due) – that we can proudly proclaim there are now officially THREE things in life that are guaranteed! What’s the third one, you (and Mr. Franklin) might ask?