Welcome to not just a world of AI agents but a multi-agent world. Yet while these functional generative AI (Gen AI) tools have great promise for personal and professional productivity, deploying them is a significant challenge for designers and developers.

The authors of a recent Deloitte report suggested agents have caught people’s attention — 26% of organizations are exploring autonomous agent development. At least 52% of executives are interested in pursuing agentic AI development, and 45% want to extend development to multi-agent systems. However, while agentic AI will be a key enabler of sustainable value, the report suggested it’s no silver bullet.

“As software systems that can meet objectives with minimal intervention, agents could help accelerate the creation of long-lasting business value,” the report stated.

“However, the key barriers currently faced by Gen AI — regulatory uncertainty, risk management, data deficiencies, and workforce issues — still apply, and are arguably even more important due to the increased complexity of agentic systems.”

Unlike today’s bots, “which mainly respond to input, agentic AI can be capable of planning ahead, prioritizing tasks, and executing complex workflows with minimal human intervention,” Jim Rowan, head of AI at Deloitte Consulting, told ZDNET. 

However, overall, implementing AI agents can be costly,” he cautioned. Rowan said data infrastructure is vital for any AI agent initiative: “These necessary systems include scalable cloud platforms, advanced data analytics tools, and robust cybersecurity measures.

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Source : https://www.zdnet.com/article/crawl-then-walk-before-you-run-with-ai-agents-experts-recommend/