Remove Cost-Benefit Remove Data-driven Remove Risk Management
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

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. Gen AI holds the potential to facilitate that.

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

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.

article thumbnail

Retail Metrics that Not Enough Data-Driven Entrepreneurs Track

Smart Data Collective

Retailers around the world are discovering that big data can be incredibly valuable to their bottom lines. A growing number of businesses are starting to look for new data-driven approaches to streamline their business models. Targeting the Right Variables for Your Data-Driven Retail Business Model.

article thumbnail

5 IT risks CIOs should be paranoid about

CIO Business Intelligence

Now, add data, ML, and AI to the areas driving stress across the organization. In the Data Connectivity report, two-thirds of IT workers report being overwhelmed by the number of tech resources required to access the data needed to do their work, and 81% of them believe the same holds true for other employees in their organization.

Risk 142
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. An enterprise starts by using a framework to formalize its processes and procedures, which gets increasingly difficult as data science programs grow. What Is Model Risk? Types of Model Risk.

article thumbnail

How AI and IoT Solutions Can Improve Your Business

Smart Data Collective

Moreover, with the help of an AI development company , businesses can avoid unforeseen downtime, increase operational productivity, develop new services and products, and boost risk control. Benefits of AI and IoT in Businesses. The advantages of IoT and AI could be combined to reap the full benefits of both.

IoT 145