article thumbnail

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.

article thumbnail

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.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

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. The art is being able to scale the benefits we see on one job across multiple jobs,” she says. “To So they’ll be patient when it comes to ROI.

article thumbnail

Should I Stay or Go? Migrating to AI-Enabled Applications

David Menninger's Analyst Perspectives

Those customers should be evaluating if, when and how they will tap into the benefits that AI and GenAI can provide to improve operational and financial performance. With a perception of limited or no benefit, not taking any action can appear attractive and may be the right choice.

article thumbnail

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
article thumbnail

Gartner Explores Tech Innovations in Integrated Risk Management

John Wheeler

This week, we kicked-off a major research effort to explore current innovations in the rapidly expanding integrated risk management (IRM) market. This represents a great opportunity for organizations to utilize risk management technology (RiskTech) to bridge the gap between these seemingly disconnected transformation efforts.

article thumbnail

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.