Remove Business Objectives Remove Data Collection Remove Technology
article thumbnail

Beyond the hype: Key components of an effective AI policy

CIO Business Intelligence

In today’s rapidly evolving technological landscape, artificial intelligence (AI) plays a pivotal role in transforming businesses across various sectors. Understanding the need for an AI policy As AI technologies become more sophisticated, concerns around privacy, bias, transparency and accountability have intensified.

article thumbnail

A step-by-step guide to setting up a data governance program

IBM Big Data Hub

The primary goal of any data governance program is to deliver against prioritized business objectives and unlock the value of your data across your organization. Realize that a data governance program cannot exist on its own – it must solve business problems and deliver outcomes.

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

Top 10 Data Innovation Trends During 2020

Rocket-Powered Data Science

This steady march of data-driven innovation has been a consistent characteristic of each year for at least the past decade. These data-fueled innovations come in the form of new algorithms, new technologies, new applications, new concepts, and even some “old things made new again”.

article thumbnail

3 things CIOs must do now to accurately hit net-zero targets

CIO Business Intelligence

Research from Accenture shows that 48% of companies say technology-enabled sustainability initiatives lead to more competitive products and enhanced customer service, and contribute to attracting top talent—all of which help drive increased revenues.

Software 105
article thumbnail

Which workloads are best suited for cloud vs. on-premises or edge?

CIO Business Intelligence

Where I’ve seen AI projects fail is in trying to bring the massive amounts of data from where it’s created to the training model [in some public cloud] and get timely insights, versus taking the model and bringing it closer to where the data is created,” Lavista explains.

article thumbnail

Which Workloads Belong On-Premises as Part of Hybrid IT

CIO Business Intelligence

Where I’ve seen AI projects fail is in trying to bring the massive amounts of data from where it’s created to the training model [in some public cloud] and get timely insights, versus taking the model and bringing it closer to where the data is created,” Lavista explains.

IT 98
article thumbnail

Are SMBs invited to the business intelligence (BI) party?

CIO Business Intelligence

Executive leaders of small businesses and startups frequently lament that they lack the same access to data and insights that enterprise competitors and other more entrenched players enjoy. Fortune Business Insights predicts that the global BI market will grow to $43 billion by 2028 , up from $24 billion in 2021. “The