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Maximizing SaaS application analytics value with AI

IBM Big Data Hub

That’s why today’s application analytics platforms rely on artificial intelligence (AI) and machine learning (ML) technology to sift through big data, provide valuable business insights and deliver superior data observability. What are application analytics? SaaS app development and management is no different.

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GUEST ESSAY: Robust data management can prevent theft, guard intellectual property

The Last Watchdog

By leveraging advanced analytics and AI, it offers enhanced scrutiny of individuals and organizations, monitoring their vulnerability to risks from sanctioned or risky entities that jeopardize intellectual property. Organizations have access to ample data; the key lies in adopting suitable technology to extract its value.

MDM 203
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Fraud Detection and Prevention Market: Fraud Analytics Adoption Trends

Rippleshot

This report specifically highlights how today's fraud trends have spurred faster adoption of technologies that rely on big data and predictive analytics to detect fraud. billion by 2026, a 25% growth in a 6-year period.

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MY TAKE: ‘Network Detection and Response’ emerges as an Internet of Things security stopgap

The Last Watchdog

trillion by 2026, up from $190 billion in 2018. NDR involves applying machine learning, advanced data analytics and rule-based detection to the tracking of packets. For a full drill down on our conversation, give the accompanying podcast a listen. That’s a compounded annual growth rate of a whopping 24.7

IoT 195
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Achieve your AI goals with an open data lakehouse approach

IBM Big Data Hub

Consider this, a forecast by IDC shows that global spending on AI will surpass $300 billion in 2026, resulting in a compound annual growth rate (CAGR) of 26.5% from 2022 to 2026.

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FDA FSMA: Providing value beyond compliance

IBM Big Data Hub

Though the rule doesn’t go into effect until January 2026, companies must proactively and strategically prepare their supply chain now, as this complex regulation will require companies to collect and maintain detailed information about the ingredients, processing and distribution of certain products.

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IBM to help businesses scale AI workloads, for all data, anywhere

IBM Big Data Hub

IBM today announced it is launching IBM watsonx.data , a data store built on an open lakehouse architecture, to help enterprises easily unify and govern their structured and unstructured data, wherever it resides, for high-performance AI and analytics. What is watsonx.data?