CIO

SEPTEMBER 21, 2023

Generative AI touches every aspect of the enterprise, and every aspect of society,” says Bret Greenstein, partner and leader of the gen AI go-to-market strategy at PricewaterhouseCoopers. With a pre-trained model, you can bring it into HR, finance, IT, customer service—all of us are touched by it.”

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CIO

FEBRUARY 28, 2024

The rate of companies that have either already deployed generative AI or are actively exploring it is accelerating to the point where, combined, there are very few holdouts. The use of gen AI in the enterprise was nearly nothing in November 2022, where the only tools commonly available were AI image or early text generators.

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CIO

DECEMBER 29, 2023

“With a focus on automation for customer service and telesales functions, we’re looking at intelligent automation solutions that can help improve customer engagement and self-help capabilities,” says Chris Pendergast, the company’s SVP and CTO.

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CIO

JANUARY 16, 2024

In the rush to establish technical strategies for making good on the promise of generative AI, many CIOs find themselves running headlong into what may be their most challenging task yet: preparing their organization’s end-users — from knowledge workers and assembly line laborers to doctors, accountants, and lawyers — to co-exist with generative AI.

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Tenable

MARCH 22, 2024

National Security Agency’s new “ Top Ten Cloud Security Mitigation Strategies ” for improving an organization’s cloud security posture. “As This can be a roadblock for organizations otherwise eager to deploy AI and machine learning tools. Dive into six things that are top of mind for the week ending March 22.

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CIO

JANUARY 4, 2024

CIOs had to navigate a labyrinth of challenges in 2023: generative AI rewrote the rulebook of technological possibility, governments started to draft new regulatory frameworks for the tech sector, and global conflicts disrupted business operations. Through it all, CIOs had to adapt swiftly. Once again, the keyword is adapt. “Be

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CIO

JANUARY 11, 2024

2023 was a year made notable by a range of unexpected, unpredictable, and fast-moving challenges that, despite seemingly having little to do with technology, had profound impacts on IT strategies. We believe that smart technology still holds the biggest promise to improve our client’s operations,” he says.

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CIO

APRIL 8, 2024

“Technology such as AI is redefining business models, requiring organizations to make the seismic shift from a novice technology organization to a mature and trusted leader,’’ says Raj Sharma, consulting vice chair at EY Americas. “As Increasingly, new C-suite roles with a tech bent are permeating companies.

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CIO

APRIL 29, 2024

To Carm Taglienti, the explosion of all things AI over the past few years has been both a pro and a con to IT teams. On the one hand, artificial intelligence has helped both technology departments and the business units to work better, faster, and cheaper. 1 challenge listed.

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CIO

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. IT leaders must rigorously assess their partners’ talent management and development strategies, build greater trust and transparency into the relationships, and invest in greater partner governance.

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CIO

JANUARY 2, 2024

CIOs are readying for another demanding year, anticipating that artificial intelligence, economic uncertainty, business demands, and expectations for ever-increasing levels of speed will all be in play for 2024. Achieve aggressive AI goals That’s not to suggest CIOs are slowing down their AI work. We’re piloting, PoC-ing.

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CIO

AUGUST 24, 2023

In fact, 77% of CEOs of large companies said regulatory uncertainty impacts their gen AI deployment decisions, and 41% say they’re taking a short pause of three to six months in order to monitor the regulatory landscape. So here are some of the strategies organizations are using to deploy gen AI in the face of regulatory uncertainty.

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CIO

JULY 18, 2023

CIO.com’s 2023 State of the CIO survey recently zeroed in on the technology roles that IT leaders find the most difficult to fill, with cybersecurity, data science and analytics, and AI topping the list. These include not only cyber, but also cloud and generative AI, he says. Geographical nuances are also arising.

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CIO

DECEMBER 11, 2023

What they are finding is that the line between advancing technologically and ensuring AI doesn’t result in detrimental outcomes is thin. What’s the plan if customers are presented with false data, or if critical decisions are based on inaccurate AI responses? As McIntosh sees it, bias is fundamentally a data problem. “We

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John Snow Labs

SEPTEMBER 26, 2023

to be precise) of data scientists and engineers plan to deploy Large Language Model (LLM) applications into production in the next 12 months or “as soon as possible.” of data science teams have implemented LLM applications currently in use by their own or client companies. billion by the end of 2030.

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Kaseya

APRIL 30, 2024

Introducing IT Glue Copilot Kaseya CTO and GM of IT Glue, Nadir Merchant, introduced IT Glue Copilot during the keynote. This advanced feature leverages AI technologies such as natural language processing, generative AI, machine learning and traditional intelligence algorithms to revolutionize IT documentation.

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CIO

NOVEMBER 27, 2023

CIOs are hardly Luddites, but even some technologists fret about artificial intelligence, the rapid pace of tech evolution, and their ability to keep up. That’s not to say they’re looking to ditch their roles or smash machines, as the real Luddites had. Rather, they’re stressed about how AI will impact their own organizations.

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Altexsoft

SEPTEMBER 13, 2023

In the world of machine learning , there’s a well-known saying, “An ML model is only as good as the training data you feed it with.” Watch our video about data preparation for ML tasks to learn more about this. Prompt engineering is used for different types of generative AI models: text-based models (e.g.,

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Crafty CTO

JUNE 28, 2023

MosaicML’s Revenue Model Isn’t Models Counterintuitively, although MPT-30B and 7B come from MosaicML, models aren’t the product, but rather enablers of Mosaic’s actual products—training and inference services. Build your next model / transformation / disruption / innovation. More Powerful.

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