Remove Business Driver Remove Risk Remove Testing
article thumbnail

How resilient CIOs future-proof to mitigate risks

CIO Business Intelligence

This year saw emerging risks posed by AI , disastrous outages like the CrowdStrike incident , and surmounting software supply chain frailties , as well as the risk of cyberattacks and quantum computing breaking todays most advanced encryption algorithms. To respond, CIOs are doubling down on organizational resilience.

Risk 105
article thumbnail

Digital transformation 2025: What’s in, what’s out

CIO Business Intelligence

Regardless of the driver of transformation, your companys culture, leadership, and operating practices must continuously improve to meet the demands of a globally competitive, faster-paced, and technology-enabled world with increasing security and other operational risks.

Insiders

Sign Up for our Newsletter

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

article thumbnail

AI will evolve the role of the CIO

CIO Business Intelligence

AI can support an organization’s current operations while driving change, making it essential for CIOs to lead its adoption as both a business driver and support system. “As Lead the conversation with the board on risks, pros and cons, and talk like a businessperson. “If

article thumbnail

3 ways CIOs should drive the future of work

CIO Business Intelligence

But taking this kind of butler approach to the organization’s future of work mission and waiting for business drivers can be shortsighted. These capabilities are ripe for transformation, and AI search is a force multiplier when it centralizes information access, addresses tribal knowledge risks, and personalizes employee experiences.

article thumbnail

The Case for Continuous Financial Planning after Covid-19

Jet Global

The way we perceive business risk, and how we manage it, is fundamentally different for every finance leader on the planet. Even the most careful and diligent financial planning process is vulnerable, running the risk of being obsolete. Spend time forecasting what matters: Identify Key Business Drivers.

article thumbnail

Humans-in-the-loop forecasting: integrating data science and business planning

The Unofficial Google Data Science Blog

Done right, strategic forecasts can provide insights to decision makers on trends, incorporate forward-looking knowledge of product plans and technology roadmaps when relevant, expose the risks and biases of relying on any one forecasting methodology, and invite input from stakeholders on the uncertainty ranges.

article thumbnail

Incorporating Artificial Intelligence for Businesses : The Modern Approach to Data Analytics

BizAcuity

Combined, it has come to a point where data analytics is your safety net first, and business driver second. 85% of AI (marketing) projects fail due to risk, confusion, and lack of upskilling among marketing teams.(Source: A lot of testing AI methods can be utilized for better and more accurate outcomes from mining the data.