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3 Ways AIOps Drives Digital Transformation

CIO Business Intelligence

Through his two decades of B2B product marketing and GTM experience, he has led product launch, worldwide sales enablement, content development, and funnel creation activities across AI, ML, cloud, MLOps, data management and IoT technology domains.

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The 4 pillars of the Zscaler Zero Trust Exchange: Customers share their successes

CIO Business Intelligence

We’ve all heard this mantra: “Secure digital transformation requires a true zero trust architecture.” Let’s look at these pillars through the eyes of Zscaler customers and discover why more than 7,700 organizations rely on Zscaler to strengthen their security posture and accelerate their digital transformation.

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Fraport goes all in on private 5G network

CIO Business Intelligence

So far, Fraport has operated different radio technologies for voice communication, or to network its IoT devices. As far as slicing is concerned, however, Oswald can imagine that Fraport will later offer its own slicing services for its B2B partners, such as airlines or logistics companies. in Germany.

IoT 105
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New Practices in Data Governance and Data Fabric for Telecommunications

Cloudera

With the volumes of data in telco accelerating with the rapid advancement of 5G and IoT, the time is now to modernize the data architecture. . As data becomes ever more central to the business of telecommunications – particularly in B2B – a data mesh approach can help accelerate the transformation.

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Data Impact Award Spotlight and Update on 2020’s Industry Transformation Winner: Telkomsel

Cloudera

So, what was it about Telkomsel’s head-on approach to digital transformation that caught the judges’ attention? Telkomsel – 2020’s Industry Transformation award winner . A telco undergoing digital transformation. And how has the story progressed a year on? Let’s explore….

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Introducing Cloudera DataFlow (CDF)

Cloudera

It is a key capability that will address the needs of our combined customer base in areas of real-time streaming architectures and Internet-of-Things (IoT). It meets the challenges faced with data-in-motion, such as real-time stream processing, data provenance, and data ingestion from IoT devices and other streaming sources.

IoT 72