Remove Data Quality Remove Definition Remove Digital Transformation Remove Risk
article thumbnail

3 key digital transformation priorities for 2024

CIO Business Intelligence

The analyst reports tell CIOs that generative AI should occupy the top slot on their digital transformation priorities in the coming year. I wrote in Driving Digital , “Digital transformation is not just about technology and its implementation. Luckily, many are expanding budgets to do so. “94%

article thumbnail

10 digital transformation roadblocks — and 5 tips for overcoming them

CIO Business Intelligence

So if you are seeking to lead transformational change at your organization, it’s worth knowing the 10 most common reasons why digital transformation fails and what you as an IT leader can learn from those failures. Resistance to change Change is hard, and digital transformation requires a lot of it.

Insiders

Sign Up for our Newsletter

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

Trending Sources

article thumbnail

5 surefire ways to derail a digital transformation (without knowing it)

CIO Business Intelligence

Despite the best of intentions, CIOs and their organizations often struggle to deliver business outcomes from digital transformation strategies. And while KPMG reports that 72% of CEOs have aggressive digital investment strategies, McKinsey details a harsh reality that 70% of transformations fail.

article thumbnail

Digital KPIs: The secret to measuring transformational success

CIO Business Intelligence

Regardless of where organizations are in their digital transformation, CIOs must provide their board of directors, executive committees, and employees definitions of successful outcomes and measurable key performance indicators (KPIs). As a result, outcome-based metrics should be your guide.

article thumbnail

As insurers look to be more agile, data mesh strategies take centerstage

CIO Business Intelligence

Harmonizing these data sets with centralized enterprise data faces increasing challenges as shifts to data definitions, schema, and architecture require constant central data team efforts. It should be noted that implementing a blended data management strategy is not without potential pitfalls.

article thumbnail

10 things to watch out for with open source gen AI

CIO Business Intelligence

“If you have a data center that happens to have capacity, why pay someone else?” According to Synopsys’ open source security and risk analysis released in February, 96% of all commercial code bases contained open source components. First, there are new license types that are only open source under a very loose definition of the term.

article thumbnail

A CISO POV: Securing AI in your company

CIO Business Intelligence

Public LLMs in the sandbox: Safely test publicly available Large Language Models (LLMs) in a sandbox environment, separate from the production setting, to assess their impact without risking operational disruptions. Remember, AI has been around for a long time, and the definition makes a difference.