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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. They face an ever-increasing cadre of startups and established organizations, all of whom are also trying to keep up to date on digital transformation trends to achieve a competitive edge.

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How to Prevent Data Breaches: Data Breach Prevention Tips

eSecurity Planet

With the ever-present threat of data breaches, organizations need to adopt best practices to help prevent breaches and to respond to them when they occur to limit any damage. Prioritize Data Protection The downfall of many security strategies is that they become too general and too thinly spread.

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erwin’s Predictions for 2021: Data Relevance Shines at the End of the Tunnel

erwin

Our predictions for 2021 are rooted in what we’ve learned from the past year and the relevance of data in getting us to where we are and where we need to go. Historically, moving legacy data to the cloud hasn’t been easy or fast. However, that definition is too narrow in terms of AI’s relation to data governance.

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About Half of Surveyed Companies Haven’t Started Preparing for CCPA: Data Privacy Trends

eDiscovery Daily

technology, manufacturing, financial services, utilities and health care companies finds that 44 percent of companies that will impacted by the CCPA haven’t yet taken steps towards compliance. While the European Union’s General Data Protection Regulation (GDPR) impacted only U.S. companies on a daily basis.

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Risk Management under the DORA Regulation

IT Governance

The financial sector is quite heavily regulated, and involves a lot of confidential data. You’d therefore expect that the sector fares better at data security than your average organisation. In fact, in 2020–2022, the financial sector was the second-most attacked sector, topped only by the retail and manufacturing sector.

Risk 104
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Getting ready for artificial general intelligence with examples

IBM Big Data Hub

While AGI remains theoretical, organizations can take proactive steps to prepare for its arrival by building a robust data infrastructure and fostering a collaborative environment where humans and AI work together seamlessly. A key trend is the adoption of multiple models in production. How can organizations prepare for AGI?

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The most valuable AI use cases for business

IBM Big Data Hub

Promote cross- and up-selling Recommendation engines use consumer behavior data and AI algorithms to help discover data trends to be used in the development of more effective up-selling and cross-selling strategies, resulting in more useful add-on recommendations for customers during checkout for online retailers.