Remove Business Objectives Remove Metrics Remove Modeling
article thumbnail

CIO metrics are failing digital transformation; it’s time to radically rethink success

CIO Business Intelligence

However, the metrics used to evaluate CIOs are hindering progress. As digital transformation becomes a critical driver of business success, many organizations still measure CIO performance based on traditional IT values rather than transformative outcomes. The CIO is no longer the chief of “keeping the lights on.”

article thumbnail

From project to product: Architecting the future of enterprise technology

CIO Business Intelligence

Understanding and tracking the right software delivery metrics is essential to inform strategic decisions that drive continuous improvement. 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.

Insiders

Sign Up for our Newsletter

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

article thumbnail

7 risk management rules every CIO should follow

CIO Business Intelligence

In many cases, companies should opt for closed, proprietary AI models that arent connected to the internet, ensuring that critical data remains secure within the enterprise. Resilient systems address multiple threat vectors simultaneously while also aligning with business priorities, he states.

article thumbnail

5 tips for better business value from gen AI

CIO Business Intelligence

Instead, CIOs must partner with CMOs and other business leaders to help quantify where gen AI can drive other strategic impacts especially those directly connected to the bottom line. CIOs should return to basics, zero in on metrics that will improve through gen AI investments, and estimate targets and timeframes.

Sales 143
article thumbnail

The targeted approach to cloud and data CIOs need for ROI gains

CIO Business Intelligence

Online will become increasingly central, with the launch of new collections and models, as well as opening in new markets, transacting in different currencies, and using in-depth analytics to make quick decisions.” Vibram certainly isn’t an isolated case of a company growing its business through tools made available by the CIO.

ROI 119
article thumbnail

Top 10 Data Innovation Trends During 2020

Rocket-Powered Data Science

MLOps takes the modeling, algorithms, and data wrangling out of the experimental “one off” phase and moves the best models into deployment and sustained operational phase. MLOps “done right” addresses sustainable model operations, explainability, trust, versioning, reproducibility, training updates, and governance (i.e.,

article thumbnail

Balancing the costs and opportunities of GenAI adoption

CIO Business Intelligence

Excessive infrastructure costs: About 21% of IT executives point to the high cost of training models or running GenAI apps as a major concern. Upgrading systems to accommodate advanced workloads can be especially prohibitive for organizations trying to scale AI initiatives across multiple business units. million in 2025 to $7.45