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Unlocking value: Top digital transformation trends

IBM Big Data Hub

While digital transformation has been a trend for some years, emerging technologies have made this movement even more important. Companies are rethinking their business models to become more digital and competitive. Digital transformation is an important component of a modern organization’s business operations.

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Digital transformation examples

IBM Big Data Hub

A digital transformation is an overhauled, digital-first approach to how a business is run. The digital world is evolving quickly with new products and digital technologies that require vigorous digital transformation initiatives. Why digital transformation?

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What is digital transformation? A necessary disruption

CIO Business Intelligence

Once a vanguard business strategy, digital transformation has become a perennial objective for business survival. Most CEOs (72%) continue to prioritize digital investments, according to the 2022 CEO Outlook report from KPMG, in part due to concerns about emerging and disruptive technology, a top three risk to organizational growth.

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How to create a robust digital transformation strategy

IBM Big Data Hub

Organizations are increasingly investing in digital transformation as a way to maintain or grow a competitive advantage. A tried-and-true way to approach digital transformation is to understand the relationship customers have with the product and the brand, where that relationship currently falls short, and how it can be improved.

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Digital Transformation: How To Protect Your Organization From Cyber Risk

Smart Data Collective

In order to protect your business from these threats, it’s essential to understand what digital transformation entails and how you can safeguard your company from cyber risks. Read on and learn how to keep your data safe and secure while streamlining your business processes in this digital age.

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P&G enlists IoT, predictive analytics to perfect Pampers diapers

CIO Business Intelligence

En route to one of those plants in Missouri, Kietermeyer explained to CIO.com that the combination IoT and edge platform, sensors, and edge analytics rules engine have been successfully employed to address pressure and temperature anomalies and the valve hardware issues that can occur in the diaper-making process.

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3 Ways AIOps Drives Digital Transformation

CIO Business Intelligence

Large volumes of such datasets are crucial for training machine learning models as well as for improving the accuracy of these models over time. It is important to note, though, that only performance data should be gathered from the different layers of the infrastructure stack, not customer data.