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Agents are here — but can you see what they’re doing?

CIO

For example, AI agents should be able to take actions on behalf of users, act autonomously, or interact with other agents and systems. As the models powering the individual agents get smarter, the use cases for agentic AI systems get more ambitious and the risks posed by these systems increase exponentially.

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How Tech Leaders Are Using AI to Solve 10 Procurement Challenges

CIO

AI in Action: AI-powered contract analysis streamlines compliance checks, flags potential risks, and helps you optimize spending by identifying cost-saving opportunities. AI in Action: AI streamlines integration by assessing system compatibility, automating data migration, and reducing downtime associated with your software deployments.

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What is data architecture? A framework to manage data

CIO

Data architecture goals The goal of data architecture is to translate business needs into data and system requirements, and to manage data and its flow through the enterprise. AI and ML are used to automate systems for tasks such as data collection and labeling. An organizations data architecture is the purview of data architects.

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The future of data: A 5-pillar approach to modern data management

CIO

Every SQL query, script and data movement configuration must be treated as code, adhering to modern software development methodologies and following DevOps and SRE best practices. Data science was previously the domain of tech-savvy organizations due to the technical expertise required to build models from scratch.

Data 167
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Accelerating insurance policy reviews with generative AI: Verisk’s Mozart companion

AWS Machine Learning - AI

Security and governance Generative AI is very new technology and brings with it new challenges related to security and compliance. Verisk has a governance council that reviews generative AI solutions to make sure that they meet Verisks standards of security, compliance, and data use.

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Companies to shift AI goals in 2025 — with setbacks inevitable, Forrester predicts

CIO

AI governance is already a complex issue due to rapid innovation and the absence of universal templates, standards, or certifications. They predicted more mature firms will seek help from AI service providers and systems integrators. Forrester’s 2024 developer survey showed that developers spend about 24% of their time coding.

Company 191
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Ground truth generation and review best practices for evaluating generative AI question-answering with FMEval

AWS Machine Learning - AI

Ground truth data in AI refers to data that is known to be factual, representing the expected use case outcome for the system being modeled. By providing an expected outcome to measure against, ground truth data unlocks the ability to deterministically evaluate system quality.