Rowan Curran

1 month ago | forrester.com | Rowan Curran |Emily Pfeiffer |Keith Johnston

In the ever-evolving landscape of artificial intelligence, businesses are moving beyond traditional AI agents toward something far more transformative: agentic AI. Standalone foundation models (with RAG added) can assist with summarization and question and answer tasks – agentic AI systems can go much further – they can plan, decide, and act autonomously, orchestrating complex workflows with minimal human intervention.

Jul 23, 2024 | forrester.com | David Truog |Rowan Curran

Do executives understand generative AI (genAI) better than consumers do? Nope — apparently not. Our research shows that among consumers, generative AI is poorly understood or not at all (see The State Of Consumer Usage Of Generative AI, 2024). And you might think execs would be better informed, considering the high-stakes decisions they must make about their organizations’ technology strategies. But they aren’t. How do we know?

Jul 23, 2024 | forrester.com | Rowan Curran |David Truog

In our previous blog post on retrieval-augmented generation (RAG), we explained the motivation for implementing a RAG architecture and presented a very basic example architecture for retrieving enterprise knowledge. But the solution doesn’t stop there; in these blog post, we’ll describe advanced RAG architectures for enterprise knowledge applications. In the previous post, we showed how a RAG-powered application could handle some simple HR questions.

Jul 23, 2024 | forrester.com | Michael O'Grady |Rowan Curran |Brandon Purcell

Digital transformation is a cornerstone of innovation and sustainable growth. The World Economic Forum estimates more than two-thirds of new value creation over the next decade could come from digitally enabled platforms. Forrester’s new global digital economy forecast measures the size and growth of the digital economy across technology spend, retail, travel and insurance e-commerce, ICT product and service exports, chip manufacturing and datacenters.

Jul 23, 2024 | forrester.com | Rowan Curran |Charlie Dai |Sharyn Leaver

Enterprises experimenting with generative AI (genAI) are prioritizing use cases that enable internal and external users to better retrieve information they need, be it data, how-to pages, corporate policies, or return policies. Retrieval-augmented generation (RAG) is now the most common underlying approach for building this type of large language model (LLM)-based enterprise knowledge-retrieval application. What is RAG, and why is it so useful?