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

erwin

Aside from these, these data intelligence tools also provide healthcare institutions with an encompassing view of the hospital and care critical data that hospitals can use to improve the quality and level of service and increase their economic efficiency. How Business Benefits from Data Intelligence. Data quality management.

Analytics 103
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How to choose the best AI platform

IBM Big Data Hub

AI platforms offer a wide range of capabilities that can help organizations streamline operations, make data-driven decisions, deploy AI applications effectively and achieve competitive advantages. Visual modeling: Combine visual data science with open source libraries and notebook-based interfaces on a unified data and AI studio.

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Port Covington, MD re-emerges as ‘CyberTown, USA’ — ground zero for cybersecurity research

The Last Watchdog

When CyberTown, USA is fully built out, it’s backers envision it emerging as the world’s premier technology hub for cybersecurity and data science. It’s mission has been to seek out and assist government cyber specialists in a position to enter the private sector and build commercial cyber and data science companies.

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#ModernDataMasters: Martin Squires, The Analysis Foundry

Reltio

Martin Squires is a leader with extensive experience in customer insight, marketing analytics & data science. Selected for the last 5 years as a member of the Data IQ Data 100 , Martin has considerable experience helping organisations drive value from building a deeper understanding of their customers.

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Reltio Named a Leader in the 2021 Forrester Wave™ Report for MDM

Reltio

“The Reltio MDM solution is part of the Connected Data Platform, which supports all data types in real time for operational, analytical, and data science use cases.”. Reltio scored well in matching, context, governance, business templates, deployment, security, and scalability.

MDM 98
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Foundational models at the edge

IBM Big Data Hub

These include data ingestion, data selection, data pre-processing, FM pre-training, model tuning to one or more downstream tasks, inference serving, and data and AI model governance and lifecycle management—all of which can be described as FMOps.

Cloud 90
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Top 6 Kubernetes use cases

IBM Big Data Hub

But Docker lacked an automated “orchestration” tool, which made it time-consuming and complex for data science teams to scale applications. HPC uses powerful processors at extremely high speeds to make instantaneous data-driven decisions. For instance, large retail e-commerce websites consist of many microservices.

Cloud 115