2022 Generative AI Marketing Security 
CIO
JUNE 3, 2024
For generative AI, a stubborn fact is that it consumes very large quantities of compute cycles, data storage, network bandwidth, electrical power, and air conditioning. Infrastructure-intensive or not, generative AI is on the march. of the overall AI server market in 2022 to 36% in 2027.
CIO
JULY 10, 2024
Businesses are investing great sums of money in generative AI – to the point that GenAI spending in 2025 will be nearly seven times greater than it was in 2022, according to IDC historical data and forecasts. In many cases, it’s cybersecurity, which ranks at the top of the list of factors driving increased IT spending in 2024.
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CIO
SEPTEMBER 29, 2023
As I work with financial services and banking organizations around the world, one thing is clear: AI and generative AI are hot topics of conversation. Financial organizations want to capture generative AI’s tremendous potential while mitigating its risks. In short, yes. But it’s an evolution. billion by 2032.
TechCrunch
MARCH 28, 2023
The appetite for generative AI — AI that turns text prompts into images, essays, poems, videos and more — is insatiable. According to a PitchBook report released this month, VCs have steadily increased their positions in generative AI, from $408 million in 2018 to $4.8 billion in 2022. billion in 2022.
CIO
JULY 31, 2023
Organizations are rushing to figure out how to extract business value from generative AI — without falling prey to the myriad pitfalls arising. They note, too, that CIOs — being top technologists within their organizations — will be running point on those concerns as companies establish their gen AI strategies.
CIO
AUGUST 17, 2023
Generative AI is widely regarded as one of the great technology breakthroughs of our time. But, as with any big new wave, there is a risk of once-promising projects being washed up and there are clear and obvious concerns over governance, quality and security. We’re testing ChatGPT at an individual level,” he says.
CIO
SEPTEMBER 7, 2023
That’s why, around the world, governments and the defense industry as a whole are now investing and exploring generative artificial intelligence (AI), or large language models (LLMs), to better understand what’s possible. Without it, organizations can face final-mile issues that hinder generative AI capabilities.
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