Cloud Data Fractional CTO Vendor Management 
CIO Business Intelligence
JANUARY 10, 2024
Migrating infrastructure and applications to the cloud is never straightforward, and managing ongoing costs can be equally complicated. Refactoring applications to take advantage of cloud-native services is vital to maximizing cloud ROI. We need hard metrics because we’re running 800 instances of cloud computers.
CIO Business Intelligence
MARCH 22, 2022
He has assisted the top management in planning IT strategies and leveraging technologies for rationalizing manpower, enhancing organizational productivity, and improving the efficiency of operations. Amit Goel joins Blox as CTO. Kamal Goel has migrated from one data centre operator to another. February 2022. January 2022.
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CIO Business Intelligence
NOVEMBER 8, 2023
The technology talent gap continues to inflate labor costs, too, despite big layoffs in high tech, CIOs say, and they’ve seen double-digit increases in SaaS and cloud costs over the last two years. While inflation challenges have moderated in the US from a high of 9.1% in June, 2022, to 3.7%
CIO Business Intelligence
JANUARY 3, 2024
There’s also the ever-present threat of copyright lawsuits related to AI-generated text and images, accuracy of AI-generated content, and the risk of having sensitive information become training data for the next generation of the AI model — and getting exposed to the world. How is the prompt data stored in their environment?”
CIO Business Intelligence
MARCH 26, 2024
For the more specialized IT needs, there just aren’t enough people to meet the demand,” says Michael Manos, CTO of Dun & Bradstreet. But CIOs are also working with niche consultancies and startups for skills in areas such as cybersecurity, AI, cloud, analytics, and DevOps. Select the right partnership model.
CIO Business Intelligence
SEPTEMBER 21, 2023
AI is now a board-level priority Last year, AI consisted of point solutions and niche applications that used ML to predict behaviors, find patterns, and spot anomalies in carefully curated data sets. Traditional ML requires a lot of data, experienced data scientists, as well as training and tuning. It’s incredible,” he says.
mrc's Cup of Joe Blog
NOVEMBER 21, 2019
photo credit: nuggety247 via pixabay cc Over the last few years, we’ve seen the massive growth of new technologies. Areas like machine learning, AI, data science, etc… are becoming important skills in the business world. The most obvious answer is pay a premium for the best talent, or hire consultants with modern skills.
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