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3 Massive Cost-Saving Benefits of Smart Data for Businesses

Smart Data Collective

For example, they could maximize their employees’ skills or cut production costs. Another way in which businesses can reduce their expenses is by using smart data. Companies around the world are projected to spend $274 billion on big data by 2022. Businesses can use smart data for a range of other purposes too.

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MRO spare parts optimization

IBM Big Data Hub

A recent report shows a significant increase in the cost of manufacturing downtime from 2021 to 2022, with Fortune Global 500 companies now losing 11% of their yearly turnover which amounts to nearly USD 1.5 regulations, undergoing digital transformation and the need for cost-cutting. A 40% reduction in inventory costs.

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Better, faster decisions: Why businesses thrive on real-time data

CIO Business Intelligence

In Foundry’s 2022 Data & Analytics Study , 88% of IT decision-makers agree that data collection and analysis have the potential to fundamentally change their business models over the next three years. The ability to pivot quickly to address rapidly changing customer or market demands is driving the need for real-time data.

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Generative AI in the Enterprise

O'Reilly on Data

54% of AI users expect AI’s biggest benefit will be greater productivity. ChatGPT was opened to the public on November 30, 2022, roughly a year ago; the art generators, such as Stable Diffusion and DALL-E, are somewhat older. How will AI adopters react when the cost of renting infrastructure from AWS, Microsoft, or Google rises?

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The top 6 skills for CPAs in the digital era

Jedox

Skill #6: Unifying data stuck in accounting silos. According to Gartner’s Predicts 2022 report , a majority of organizations will choose integrated financial management tools as their preferred solution towards process automation within the next two years. The Case of IFCO. Skill #2: Embracing increased collaboration.

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How data stores and governance impact your AI initiatives

IBM Big Data Hub

The tasks behind efficient, responsible AI lifecycle management The continuous application of AI and the ability to benefit from its ongoing use require the persistent management of a dynamic and intricate AI lifecycle—and doing so efficiently and responsibly. But the implementation of AI is only one piece of the puzzle.

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Create an end-to-end data strategy for Customer 360 on AWS

AWS Big Data

This view is used to identify patterns and trends in customer behavior, which can inform data-driven decisions to improve business outcomes. In 2022, AWS commissioned a study conducted by the American Productivity and Quality Center (APQC) to quantify the Business Value of Customer 360.