bridgei2i
JULY 8, 2020
PODCAST: COVID 19 | Redefining Digital Enterprises. Episode 10: COVID-19 | Evolving Trends of Digital Transformation. COVID-19 | Evolving Trends of Digital Transformation. My name is Vignesh, and I help companies succeed in their AI-enabled digital transformation. Listening time: 12 minutes.
CIO Business Intelligence
NOVEMBER 15, 2022
Resilient cybersecurity Despite the clamour for new digital investments, Gartner’s analysts did recognise that this would represent a new cybersecurity risk, with some attributing the increased spending in security over the next year down to ongoing uncertainty regarding Russia’s invasion of Ukraine.
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Cloudera
SEPTEMBER 29, 2021
Digital transformation has been talked about for many years, but the pandemic has accelerated the digital transformation journeys for many enterprises. While going digital may be commonly associated with the private sector, governments and the organizations in the public sector have much to gain by going digital as well.
CIO Business Intelligence
APRIL 11, 2023
A self-confessed data analytics and research junkie, Betadam wrote a thesis presented to George Washington University a few years ago that outlines a contemporary model for IT program management that challenges many existing models, which she calls ‘overly subjective’ and less viable in today’s world.
erwin
OCTOBER 16, 2020
And this time sensitivity is a massive issue, as taking a proactive and data-driven approach can literally mean life or death to your business or to your customers. And that’s where data analytics can play a huge role. What holds most companies back from faster time to insights and leveraging radical transformation?
CIO Business Intelligence
MARCH 30, 2022
Disruption and uncertainties will keep going for the following years, and being agile and resilient needs to become part of t the manufacturer’s DNA. Ultimately, Ory said, the CIO is the one that needs to drive the digital transformation necessary to accelerate Industry 4.0, The role of the CIO.
Cloudera
AUGUST 27, 2020
While a traditional data lifecycle can ingest, process, store and analyze data-at-rest for operational insights, a connected data lifecycle takes into account the holistic view of the entire data journey from edge to cloud across data-in-motion and data-at-rest.
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