Scaling AI agents with trustworthy data

Scaling AI agents with trustworthy data. Business and technology leaders need no convincing that the time of agentic AI is here.

O que aconteceu

Business and technology leaders need no convincing that the time of agentic AI is here.

Organizations are rapidly adopting agents, and few executives doubt the technology’s potential to transform work.

But many organizations find that realizing the desired return on investment (ROI) from AI hinges on having the right foundation, with inadequate infrastructure and data being major blockers.

Por que importa

Os números em evidência (50%, 45%, 30%, 70%, 100%) ajudam a medir o impacto no dia a dia de empresas e leitores de Tech.

Consequência prática

Agentic AI places considerable new demands on enterprise data systems.

The shift from answering questions to taking actions means AI agents need data from across the enterprise, in all its structured and unstructured forms, and with the right business context.

To make decisions and act in real time, agents also need frictionless access to the organization’s operational systems—for example, those storing its supply chain, point-of-sale, or human resources data.

Legacy data systems, even those updated just a few years ago, struggle to meet these demands.

Business and technology leaders need no convincing that the time of agentic AI is here. Com base em 50%, o movimento reforça a leitura de que decisões em Tech precisam ser acompanhadas com atenção aos dados e ao desfecho concreto.

Organizations are rapidly adopting agents, and few executives doubt the technology’s potential to transform work. Com base em 50%, o movimento reforça a leitura de que decisões em Tech precisam ser acompanhadas com atenção aos dados e ao desfecho concreto.

But many organizations find that realizing the desired return on investment (ROI) from AI hinges on having the right foundation, with inadequate infrastructure and data being major blockers. Com base em 50%, o movimento reforça a leitura de que decisões em Tech precisam ser acompanhadas com atenção aos dados e ao desfecho concreto.

Agentic AI places considerable new demands on enterprise data systems. Com base em 50%, o movimento reforça a leitura de que decisões em Tech precisam ser acompanhadas com atenção aos dados e ao desfecho concreto.

The shift from answering questions to taking actions means AI agents need data from across the enterprise, in all its structured and unstructured forms, and with the right business context. Com base em 50%, o movimento reforça a leitura de que decisões em Tech precisam ser acompanhadas com atenção aos dados e ao desfecho concreto.

To make decisions and act in real time, agents also need frictionless access to the organization’s operational systems—for example, those storing its supply chain, point-of-sale, or human resources data. Com base em 50%, o movimento reforça a leitura de que decisões em Tech precisam ser acompanhadas com atenção aos dados e ao desfecho concreto.

Legacy data systems, even those updated just a few years ago, struggle to meet these demands. Com base em 50%, o movimento reforça a leitura de que decisões em Tech precisam ser acompanhadas com atenção aos dados e ao desfecho concreto.