Remove Cost-Benefit Remove Modeling Remove Risk Management
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Where CIOs should place their 2025 AI bets

CIO Business Intelligence

CIOs were given significant budgets to improve productivity, cost savings, and competitive advantages with gen AI. CIOs feeling the pressure will likely seek more pragmatic AI applications, platform simplifications, and risk management practices that have short-term benefits while becoming force multipliers to longer-term financial returns.

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5 top business use cases for AI agents

CIO Business Intelligence

Meanwhile, in December, OpenAIs new O3 model, an agentic model not yet available to the public, scored 72% on the same test. Were developing our own AI models customized to improve code understanding on rare platforms, he adds. SS&C uses Metas Llama as well as other models, says Halpin. Devin scored nearly 14%.

Software 143
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Cloud analytics migration: how to exceed expectations

CIO Business Intelligence

If expectations around the cost and speed of deployment are unrealistically high, milestones are missed, and doubt over potential benefits soon takes root. The right tools and technologies can keep a project on track, avoiding any gap between expected and realized benefits. But this scenario is avoidable.

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5 tips for better business value from gen AI

CIO Business Intelligence

Bogdan Raduta, head of AI at FlowX.AI, says, Gen AI holds big potential for efficiency, insight, and innovation, but its also absolutely important to pinpoint and measure its true benefits. That gives CIOs breathing room, but not unlimited tether, to prove the value of their gen AI investments.

Sales 143
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Modular architecture drives productivity and risk management at Gilbane

CIO Business Intelligence

In my view, companies that split up these functions are seeing second-order consequences around communication, costs, and conflict, and are bringing these roles back together. There’s also investment in robotics to automate data feeds into virtual models and business processes. So they’ll be patient when it comes to ROI.

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What Is Model Risk Management and How is it Supported by Enterprise MLOps?

Domino Data Lab

Model Risk Management is about reducing bad consequences of decisions caused by trusting incorrect or misused model outputs. Systematically enabling model development and production deployment at scale entails use of an Enterprise MLOps platform, which addresses the full lifecycle including Model Risk Management.

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5 IT risks CIOs should be paranoid about

CIO Business Intelligence

Security and data governance is a growing challenge, and 61% of companies reported a third-party data breach or security incident, a 49% increase over the last year, according to The 2024 Third-Party Risk Management Study. “Be Confirm that the financial models accurately explain budget-to-actual variances.

Risk 142