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3 Ways AIOps Drives Digital Transformation

CIO Business Intelligence

Relevant datasets: There is no AI without relevant data – lots of relevant data. AIOps can be designed ground-up with data collection at its heart. It is important to note, though, that only performance data should be gathered from the different layers of the infrastructure stack, not customer data.

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Digital Transformation is a Data Journey From Edge to Insight

Cloudera

Digital transformation is a hot topic for all markets and industries as it’s delivering value with explosive growth rates. The six steps are: Data Collectiondata ingestion and monitoring at the edge (whether the edge be industrial sensors or people in a brick and mortar retail store).

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Digital Transformation in the Office of the CFO: Predictions for 2020 and Beyond

Jet Global

Digital transformation has the power to radically overhaul every aspect of an organization’s operations. But because of the company-wide impact of a financial transformation, the office of the CFO plays a unique role in driving the transformation beyond its own territory. Naturally, that includes the finance department.

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Generac powers business transformation with data, AI

CIO Business Intelligence

Dickson, who joined the Wisconsin-based company in 2020, has launched PowerInsights, a homegrown digital platform that employs IoT and AI to deliver a geospatial visualization of Generac’s installed base of generators, as well as insights into sales opportunities. CIO 100, Digital Transformation, Energy Industry

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Next Stop – Building a Data Pipeline from Edge to Insight

Cloudera

You can read part 1, here: Digital Transformation is a Data Journey From Edge to Insight. To accomplish this, ECC is leveraging the Cloudera Data Platform (CDP) to predict events and to have a top-down view of the car’s manufacturing process within its factories located across the globe. . STEP 2: Combine the data.

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Real-time Data, Machine Learning, and Results: The Evidence Mounts

CIO Business Intelligence

It’s yet another key piece of evidence showing that there is a tangible return on a data architecture that is cloud-based and modernized – or, as this new research puts it, “coherent.”. Data architecture coherence. Putting data in the hands of the people that need it. more machine learning use casesacross the company.

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Top 10 Data Innovation Trends During 2020

Rocket-Powered Data Science

The Edge-to-Cloud architectures are responding to the growth of IoT sensors and devices everywhere, whose deployments are boosted by 5G capabilities that are now helping to significantly reduce data-to-action latency.