Remove Business Objectives Remove Data-driven Remove Risk Management
article thumbnail

7 risk management rules every CIO should follow

CIO Business Intelligence

A PwC Global Risk Survey found that 75% of risk leaders claim that financial pressures limit their ability to invest in the advanced technology needed to assess and monitor risks. Yet failing to successfully address risk with an effective risk management program is courting disaster.

article thumbnail

5 tips for better business value from gen AI

CIO Business Intelligence

Still, CIOs have reason to drive AI capabilities and employee adoption, as only 16% of companies are reinvention ready with fully modernized data foundations and end-to-end platform integration to support automation across most business processes, according to Accenture. These reinvention-ready organizations have 2.5

Sales 143
Insiders

Sign Up for our Newsletter

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

article thumbnail

Cloud analytics migration: how to exceed expectations

CIO Business Intelligence

A modern data and artificial intelligence (AI) platform running on scalable processors can handle diverse analytics workloads and speed data retrieval, delivering deeper insights to empower strategic decision-making. Business objectives must be articulated and matched with appropriate tools, methodologies, and processes.

article thumbnail

From project to product: Architecting the future of enterprise technology

CIO Business Intelligence

In todays digital economy, business objectives like becoming a leading global wealth management firm or being a premier destination for top talent demand more than just technical excellence. Enterprise architects must shift their focus to business enablement. The stakes have never been higher.

article thumbnail

10 AI strategy questions every CIO must answer

CIO Business Intelligence

How does our AI strategy support our business objectives, and how do we measure its value? Do we have the data, talent, and governance in place to succeed beyond the sandbox? These, of course, tend to be in a sandbox environment with curated data and a crackerjack team. How confident are we in our data?

Strategy 141
article thumbnail

CDOs: Your AI is smart, but your ESG is dumb. Here’s how to fix it

CIO Business Intelligence

As regulatory scrutiny, investor expectations, and consumer demand for environmental, social and governance (ESG) accountability intensify, organizations must leverage data to drive their sustainability initiatives. However, embedding ESG into an enterprise data strategy doesnt have to start as a C-suite directive.

IT 59
article thumbnail

5 IT risks CIOs should be paranoid about

CIO Business Intelligence

One approach is to define and seek agreement of non-negotiables with the board and executive committee, outlining criteria of when upgrading legacy systems must be prioritized above other business objectives. Now, add data, ML, and AI to the areas driving stress across the organization.

Risk 142