Five worthy reads is a regular column on five noteworthy items we've discovered while researching trending and timeless topics. In this edition, we'll learn about AI deployment in data center operations and how it enables better performance and efficiency
"Artificial intelligence (AI) is the talk of the town. Organizations worldwide are using the technology to support their workforces and especially with mundane tasks so human efforts can be dedicated to more vital activities. Another focus of AI lately has been in data centers where the crucial data and applications reside and only authorized personnel are allowed entry. How can AI improve operations and performance within a data center? Let's find out..."
Responsible AI, Small and Wide Data, Operationalization and Efficient Resource Use Will Be Key to Scaling AI Initiatives
Four trends on the Gartner, Inc. Hype Cycle for Artificial Intelligence, 2021 are driving near-term artificial intelligence (AI) innovation. These trends include responsible AI; small and wide data approaches; operationalization of AI platforms; and efficient use of data, model and compute resources.
'AI innovation is happening at a rapid pace, with an above-average number of technologies on the Hype Cycle reaching mainstream adoption within two to five years,' said Shubhangi Vashisth, senior principal research analyst at Gartner. 'Innovations including edge AI, computer vision, decision intelligence and machine learning are all poised to have a transformational impact on the market in coming years.'
Companies have two to three years to lay the groundwork for successful use of generative AI, synthetic data and orchestration platforms.
"Users want more than artificial intelligence can provide at the moment but those capabilities are changing fast, according to Gartner's Hype Cycle for Artificial Intelligence 2021 report. Gartner analysts described 34 types of AI technologies in the report and also noted that the AI hype cycle is more fast-paced, with an above-average number of innovations reaching mainstream adoption within two to five years.
Gartner analysts found more innovations in the innovation trigger phase of the hype cycle than usual. That means that end users are looking for specific technology capabilities that current AI tools can't quite deliver yet. Synthetic data, orchestration platforms, composite AI, governance, human-centered AI and generative AI are all in this early phase..."
AI-driven data analytics has become incredibly useful for many businesses around the world.
"More and more businesses and organizations treat data as an essential asset. The importance of managing and leveraging data cannot be overestimated. The process of interpreting and analyzing data and putting it into context helps businesses and organizations make informed decisions, predict trends, anticipate expectations, improve security, optimize internal operations, and stay ahead of competitors. The problem is that data can easily take enormous proportions. Thus, finding and isolating relevant data is a daunting task. Luckily, AI-powered technologies can help transform data into contextualized knowledge with practical relevance.
In this article, you'll discover more about how AI-driven data analytics tools benefit businesses and organizations..."
As artificial intelligence grows increasingly powerful and reliable, some IT professionals worry that the technology could gradually make their jobs less meaningful and relevant
It's tough enough to lose your job to an eager junior competitor but imagine how it would feel to be supplanted by an AI-powered tool. As artificial intelligence becomes more powerful, reliable, and accessible, there's a growing concern that cost-minded managers may turn to the technology to improve task reliability, efficiency, and performance at the expense of human teams.
Yet Wayne Butterfield, director of technology research in the automation unit of business and technology advisory firm ISG, cautions IT professionals not to jump to hasty conclusions. 'Even with the current progress being made, AI will struggle to entirely replace IT roles,' he says.
See all Archived IT - AI articles
See all articles from this issue