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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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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. It’s no longer a nice-to-have, but an integral part of a successful data strategy.

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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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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. ” Notably, watsonx.data runs both on-premises and across multicloud environments. .”

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The blueprint for a modern data center 

IBM Big Data Hub

Gartner predicts that 15% of on-premises production workloads will run in containers by 2026. However, your perspective must be grounded in reality; meaning, you must understand the limitations of your current environment: Where does it currently fall short? Where have you already identified room for improvement? billion in 2022.

Cloud 67
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IBM watsonx AI and data platform, security solutions and consulting services for generative AI to be showcased at AWS re:Invent

IBM Big Data Hub

According to a Gartner® report , “By 2026, more than 80% of enterprises will have used generative AI APIs or models, and/or deployed GenAI-enabled applications in production environments, up from less than 5% in 2023.”*

Cloud 74