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Innovative data integration in 2024: Pioneering the future of data integration

CIO

In the age of big data, where information is generated at an unprecedented rate, the ability to integrate and manage diverse data sources has become a critical business imperative. AI-powered data integration tools leverage advanced algorithms and predictive analytics to automate and streamline the data integration process.

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How strategic partnerships are the key to AI-driven innovation

CIO

Innovate or die,” Peter Drucker’s 1985 exhortation on the importance of constant reinvention, was great business advice for the last 40 or so years. Building an effective GenAI strategy is about much more than launching a point solution or siloed group of tools that only work for one part of the business.

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10 emerging innovations that could redefine IT

CIO

The pace of innovation is relentless. The next generation promises to deliver the same unstoppable parade of innovation. Others are building a new layer of intelligence into their APIs so that smarter, more business-savvy decisions can be made about releasing information.

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USPTO takes human-first approach to AI innovation

CIO

While AI and ML algorithms are critical to the agency’s endeavors, the government agency’s guiding principle is to take a human-first approach in developing and using these technologies to refine and scale its initiatives. An AI algorithm, working behind the scenes, continues to add related data whenever it becomes available.

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Ford’s high-tech business transformation, fueled by cloud

CIO

s wholesale pivot to technology has transformed not only the automaker’s business operations but its corporate identity. “We Mike Amend, Ford’s chief enterprise technology officer, was once CTO for Dell’s global online business. Ford Motor Co.’s People don’t think of a large, 100-year-old manufacturing company as high tech.”

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EU’s AI Act challenge: balance innovation and consumer protection

CIO

And when it comes to AI systems making consequential decisions for people, especially high standards should be applied, particularly to the transparency of data a particular AI was trained for its decision-making, and how the algorithms work to ultimately make decisions.

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Making AI accessible leads to greater innovation

CIO

“Organisations still struggle to connect the algorithms they are building to a business value proposition, which makes it difficult for IT and business leadership to justify the investment it requires to operationalise models.”. AI also requires substantial IT skills, and Australia faces a deepening skills crisis around this.