TLDR: SAS has launched its new Retrieval Agent Manager, a solution designed to significantly enhance generative and agentic AI capabilities. This innovation focuses on transforming vast amounts of unstructured enterprise data into quick, relevant insights, thereby improving business decisions. The manager facilitates advanced AI workflows that balance automation with human oversight, addressing the rapidly expanding market for agentic AI.
SAS, a leader in analytics, has unveiled its new Retrieval Agent Manager, a groundbreaking solution poised to supercharge the performance of both generative and agentic artificial intelligence. This development is particularly significant given that over 80% of enterprise data exists in unstructured formats, presenting a major challenge for businesses seeking to extract actionable intelligence.
The Retrieval Agent Manager is engineered to transform this wealth of unstructured data into quick and relevant insights, directly leading to better business decisions. The core of its functionality lies in its ability to enhance agentic AI, a paradigm shift from traditional software and even generative AI.
Agentic AI, as defined by SAS, operates on a spectrum, ranging from ‘human out of the loop’ scenarios where AI acts autonomously to make decisions, to ‘human in the loop’ scenarios where AI engages humans when necessary. This approach allows for the creation of sophisticated AI workflows that not only automate tasks but also ensure a critical balance with human oversight, promoting fairness, transparency, and robust governance in decision-making processes.
The market for agentic AI is experiencing rapid growth, with projections indicating it will reach over $70 billion by 2030. Furthermore, an estimated 52% of organizations are expected to integrate agentic workflows into their business operations this year alone. This underscores the increasing demand for solutions that can delegate complex tasks to autonomous AI agents, effectively creating a ‘digital workforce’ that operates 24/7.
SAS Intelligent Decisioning, powered by the SAS Viya platform, plays a crucial role in this ecosystem. It enables the low-code and no-code development of intelligent agents that can be seamlessly integrated across various business functions. These agents are designed to perceive, reason, act, and learn, forming a continuous feedback loop that adapts and improves over time.
Practical applications of the Retrieval Agent Manager and agentic AI are diverse and impactful. In fraud detection, for instance, agents can autonomously detect and deny fraudulent transactions. For irregular transactions requiring further review, the agent can analyze additional data, compute a composite risk score, and compile a summary for human review, demonstrating the ‘human in the loop’ capability. Beyond finance, agentic AI can automate legal workflows, manage customer support by resolving issues and triggering refunds, and even handle routine tasks like canceling meetings and coordinating calendars.
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SAS emphasizes a market-leading approach to the design and integration of Agentic AI, enabling organizations to uniquely balance human-centricity with comprehensive governance. The platform provides an entire lineage of the AI supply chain, from intelligent decisioning and agent deployment to model governance, training, and data cataloging, ensuring confidence and trust in the most sophisticated organizational decisions.
