In a business environment where automation is becoming increasingly essential, understanding the trajectory of robotic process automation (RPA) is more important than ever. But what exactly can we expect from the future of RPA in 2024? How will the bots themselves change? How will the market change? And what will these changes mean for buyers? In this post, we’ll look at the changes you can expect to see in RPA this year.

Artificial intelligence is changing the world. With use cases ranging from content generation to deep data analysis to detecting health issues, AI can greatly improve lives and enhance business outcomes. And with the explosion of generative AI services and large language models, we can expect AI to become even more ubiquitous than it already is. But AI isn’t perfect. In particular, AI privacy issues put organizations at risk or prevent adoption in the first place.

At most federal government agencies, acquisition teams are understaffed and overworked. They have open positions that they can’t seem to fill. And their acquisition “systems” aren’t helping matters. Rather than working with one integrated government acquisition system, many agencies rely on separate applications that each perform one function. And the applications don’t communicate with each other or integrate with the financial system.

AI automation is changing the game in business operations. For many companies, global competition is heating up fast on an increasingly crowded playing field. In the past, business leaders knew their competitors and how they operated. But now, executives across industries have to look over their shoulders for new challengers that arrive with surprising speed from virtually any corner of the globe.

In 2024, the robotic process automation (RPA) market will shift due to four major trends. These include (you guessed it) artificial intelligence’s effect on RPA, shifts in the market landscape, changes to RPA’s place in the larger automation landscape, and new data management methods.

Businesses are in a persistent productivity slump that could last through 2030, according to a 2023 World Bank study. The tech boom that powered innovation and growth over the last three decades is fading. Many companies are counting on artificial intelligence (AI) to boost operational efficiency and counteract these alarming trends.

2023 was a breakout year for artificial intelligence. It dominated news headlines as well as LinkedIn feeds. But its impact goes beyond the professional—I often overhear conversations at coffee shops about AI from people who aren’t knee-deep in the field. Whoever you are, AI is likely having a transformative impact on your life.

Traditional AI models typically specialize in processing a specific type of user prompt, whether image- or text-based. However, a paradigm shift is underway with the emergence of a new generation of AI models known as "multimodal" systems. Unlike their predecessors, these advanced models can process a diverse range of inputs seamlessly. They can adeptly handle various media types, such as text, images, audio, video, and even code.

The business landscape is undergoing radical change across industries, driven by artificial intelligence (AI) and automation. This article will differentiate AI and automation, debunk misconceptions, and highlight what business leaders need to know to navigate the challenges of integrating AI and automation across the value chain. So what’s the difference between AI and automation? AI and automation have distinct purposes.

AI is a groundbreaking technology that is ready to modernize the way federal government agencies operate. By automating tasks and optimizing workflows, artificial intelligence (AI) promises to enhance efficiency, minimize errors, and boost productivity without adding resources.