CIO Business Intelligence
JUNE 1, 2023
The B2B marketing landscape is experiencing a seismic shift fueled by the ascent of ChatGPT and other generative AI (GAI) apps. In a testament to its growing importance, 80% of marketers have experimented with or deployed the burgeoning technology, in some cases redirecting budgets from last year’s forays into the metaverse.
CIO Business Intelligence
APRIL 12, 2024
Right now most organizations tend to be in the experimental phases of using the technology to supplement employee tasks, but that is likely to change, and quickly, experts say.
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CIO Business Intelligence
OCTOBER 5, 2023
Sandeep Davé knows the value of experimentation as well as anyone. Davé and his team’s achievements in AI are due in large part to creating opportunities for experimentation — and ensuring those experiments align with CBRE’s business strategy. And those experiments have paid off.
CIO Business Intelligence
JULY 28, 2023
In addition to bottom-line benefits, employees are often inspired and motivated by innovation – seeking job opportunities that encourage experimentation and embrace new ideas. You want to have a cloud data platform that allows for fast set up and time to market, but it also needs to integrate with modern architecture.
CIO Business Intelligence
MARCH 12, 2024
Software and coding development remain a high-value area for experimentation, in addition to content development and knowledge management, in an effort to boost operational efficiencies,” he says. Junior developers are reporting the biggest productivity boosts, but this remains an area of active research and experimentation,” Tandon says.
CIO Business Intelligence
NOVEMBER 21, 2023
“Any use case that ranks high in any of these criteria should be managed by the IT department, while the remaining can be delegated to the business units.” The most successful programs go beyond rolling out tools by establishing governance in citizen data science programs while taking steps to reduce data debt.
Cloudera
OCTOBER 4, 2023
We can get to faster root-cause analysis and become proactive instead of reactive to changes in markets, business operations, and customer behavior. This also achieves workload isolation, so we can run mission critical workloads independent from experimental and exploratory ones and nobody steps on anyone’s toes by accident.
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