Remove 2025 Remove Cost-Benefit Remove Data Quality
article thumbnail

AI makes edge computing more relevant to CIOs

CIO Business Intelligence

As gen AI becomes embedded into more devices, endowing it with autonomous decision-making will depend on real-time data and avoiding excessive cloud costs. By processing data closer to the source, edge computing can enable quicker decisions and reduce costs by minimizing data transfers, making it an alluring environment for AI.

article thumbnail

Is the gen AI bubble due to burst? CIOs face rethink ahead

CIO Business Intelligence

Gartner also recently predicted that 30% of current gen AI projects will be abandoned after proof-of-concept by 2025. Many of those gen AI projects will fail because of poor data quality, inadequate risk controls, unclear business value , or escalating costs , Gartner predicts.

ROI 142
Insiders

Sign Up for our Newsletter

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

article thumbnail

Innovative data integration in 2024: Pioneering the future of data integration

CIO Business Intelligence

According to a recent report by InformationWeek , enterprises with a strong AI strategy are 3 times more likely to report above-average data integration success. Additionally, a study by McKinsey found that organisations leveraging AI in data integration can achieve an average improvement of 20% in data quality.

article thumbnail

7 ways gen AI can create more work than it saves

CIO Business Intelligence

So for all its vaunted benefits to efficiency, gen AI doesn’t always reduce workloads. At least 30% of gen AI projects will be abandoned by the end of 2025, the research firm predicts, due to unclear business value — as well as poor data quality, inadequate risk controls, and escalating costs.

IT 138
article thumbnail

Deep automation: A CIO weapon for turning disruption into opportunity

CIO Business Intelligence

Here are some key hurdles and strategies to overcome them: Foster an automation culture by involving employees early and showcasing benefits. This includes regular security audits of automated systems and ensuring compliance with data protection regulations. Prioritize data quality to ensure accurate automation outcomes.

article thumbnail

12 Cloud Computing Risks & Challenges Businesses Are Facing In These Days

datapine

3) Cloud Computing Benefits. It provides better data storage, data security, flexibility, improved organizational visibility, smoother processes, extra data intelligence, increased collaboration between employees, and changes the workflow of small businesses and large enterprises to help them make better decisions while decreasing costs.

Risk 237
article thumbnail

The Benefits of Data Management Automation: 8 Tips to Automate Data Management

erwin

Searching for data was the biggest time-sinking culprit followed by managing, analyzing and preparing data. Protecting data came in last place. In 2018, IDC predicted that the collective sum of the world’s data would grow from 33 zettabytes (ZB) to 175 ZB by 2025. That’s a lot of data to manage!