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The emergence of generative AI marks a pivotal shift in the digital landscape, profoundly impacting our ability to discern reality from fabrication. Its rise bears significant […] The post Data Under Siege? Combatting the Weaponization of Information in the Digital Age appeared first on DATAVERSITY.
In a previous article , I compared the Nimble concept to the Business Agility model from the Business Agility Institute (BAI). In this article, I come back to this comparison, using another known concept: the enablers of business Agility. For this, we can refer to other articles from business Analysis to have this linkage.
The goal of digital transformation remains the same as ever – to become more data-driven. We have learned how to gain a competitive advantage by capturing business events in data. Events are data snap-shots of complex activity sourced from the web, customer systems, ERP transactions, social media, […].
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As the COVID-19 pandemic continues to accelerate digital transformation into 2021, 73 percent of manufacturers plan to increase their investment in smart factory technology over the next year. However, as manufacturers will favor automation to address social distancing and capacity requirements, people will be critical for digital […].
An underlying architectural pattern is the leveraging of an open data lakehouse. That is no surprise – open data lakehouses can easily handle digital-era data types that traditional data warehouses were not designed for. Data warehouses are great at both analyzing and storing […].
A 2020 survey of senior IT decision-makers and IT security professionals found that 84 percent of respondents’ organizations have accelerated their digital transformation efforts as a direct result ofCOVID-19. Having a modern storage infrastructure is key to these efforts, one that is optimized for a hybrid cloud […].
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In my last DATAVERSITY article, “The Machine Economy Is Here – The Digital Transformation Era Is Over,” I discussed the end of digital transformation, the arrival of the machine economy, and the emergence of data empowerment.
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This is a five-part series of articles examining five critical mistakes organizations face when building a cloud architecture, and how those mistakes can lead to soaring costs and inefficient – even risky – data management.
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