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3 reasons why business and data analysts need to work with real-time events

IBM Big Data Hub

Uncertainty is expected and complexity is compounding. ” 1 Business and data analysts are intimately familiar with the growing business need for precise, real-time intelligence. Advantages of event-driven solutions This is where event-driven solutions excel. 3 reasons to take advantage of event-driven solutions 1.

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Highlights from the Strata Data Conference in San Francisco 2019

O'Reilly on Data

Watch highlights from expert talks covering AI, machine learning, data analytics, and more. People from across the data world are coming together in San Francisco for the Strata Data Conference. Below you'll find links to highlights from the event. The journey to the data-driven enterprise from the edge to AI.

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Data Teams and Their Types of Data Journeys

DataKitchen

A Data Journey supplies real-time statuses and alerts on start times, processing durations, test results, and infrastructure events, among other metrics. With this information, data teams can know if everything ran on time and without errors and immediately identify the parts that didn’t.

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Surviving Radical Disruption with Data Intelligence

erwin

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?

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Operational Finance in the Age of Covid-19: Time to Change the Basics?

Jet Global

Not only have finance teams had to close companies’ books remotely, but they’ve also been required to provide the insight and information needed for some extremely complex decision-making, and continuously plan and forecast for events with little or no historical context. Tip 3: Make decisions with operational data.

Finance 98
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What’s New and What’s Next in 2023 for HPC

CIO Business Intelligence

It’s a tall order, and one that will hinge on a few factors: Accelerator deployment and management at scale Changes to power and cooling design decisions at very large scale Open-source deployment of high-performance clusters to run simulation, AI, and data analytics workloads What’s New and Growing Among HPC Users?

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PODCAST: COVID19 | Redefining Digital Enterprises – Episode 4: COVID-19 | Implications and Impact on Insurance Industry

bridgei2i

Anirban believes that insurers can make the best of the situation by adopting digital practices with AI-tools to stay resilient in the face of uncertainty. Secondly, I think there is a strong need for insurers to be much more prepared and coordinated in case of events like these pandemics and how it disrupts the world economy.