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How IBM and AWS are partnering to deliver the promise of AI for business

IBM Big Data Hub

In today’s digital age where data stands as a prized asset, generative AI serves as the transformative tool to mine its potential. One of the largest children clothing retailer in the US utilizes this solution to streamline its complex supply chain.

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Q&A: Why SOAR startup Syncurity is bringing a ‘case-management’ approach to threat detection

The Last Watchdog

There is a gaping shortage of analysts talented enough to make sense of the rising tide of data logs inundating their SIEM (security information and event management) systems. But this hasn’t done the trick. In many cases the tedious, first-level correlating of SIEM logs to sift out threats has moved beyond human capability.

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Data science vs data analytics: Unpacking the differences

IBM Big Data Hub

This iterative process is known as the data science lifecycle, which usually follows seven phases: Identifying an opportunity or problem Data mining (extracting relevant data from large datasets) Data cleaning (removing duplicates, correcting errors, etc.) Diagnostic analytics: Diagnostic analytics helps pinpoint the reason an event occurred.

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How to Take Your Business to The Next Level with Data Intelligence

erwin

With tools such as Artificial Intelligence, Machine Learning, and Data Mining, businesses and organizations can collate and analyze large amounts of data reliably and more efficiently. Transforming Industries with Data Intelligence. Data intelligence has provided useful and insightful information to numerous markets and industries.

Analytics 103
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Attacks against machine learning — an overview

Elie

While there are many unpredictable underlying reasons why new attacks emerge, in our experience the following two types of events are likely to trigger their emergence: New product or feature launch : By nature adding functionalities opens up new attack surfaces that attackers are very quick to probe. bitcoin prices. managing incidents. ,

Mining 107
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Application modernization overview

IBM Big Data Hub

While the above is for application decomposition/design, event-storming needs process maps and this is where Generative AI assists in contextualizing and mapping extracts from process mining tools. retail banking, wholesale banking, open banking and corporate banking).

Cloud 106
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Attacks against machine learning — an overview

Elie

While there are many unpredictable underlying reasons why new attacks emerge, in our experience the following two types of events are likely to trigger their emergence: New product or feature launch : By nature adding functionalities opens up new attack surfaces that attackers are very quick to probe. bitcoin prices. managing incidents. ,

Mining 91