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Securing Teradata VantageCloud Lake to Ensure Data Security, Compliance, and Sovereignty

Thales Cloud Protection & Licensing

Securing Teradata VantageCloud Lake to Ensure Data Security, Compliance, and Sovereignty madhav Tue, 10/08/2024 - 04:45 Today’s businesses are focused on leveraging data at scale to fuel innovation, improve decision-making, and enhance customer experiences.

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Reimagine information with Cloud Editions (CE) 24.3

OpenText Information Management

We continue to innovate at a record pace by integrating cloud, security, and AI - plumbing the ecosystem together to enable seamless scalability - to help our customers stay ahead of future business needs. Enhanced efficiency, productivity, user experience, and more effective new hire training.

Cloud 78
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Driving new revenue streams through artificial intelligence and advanced analytics

CGI

Driving new revenue streams through artificial intelligence and advanced analytics. For more than 50 years, banks have relied on computers and software to manage and secure their data, as well as protect their customers’ interests. Foundational steps in adopting AI and advanced analytics. ravi.kumarv@cgi.com.

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

IBM Big Data Hub

IBM, a pioneer in data analytics and AI, offers watsonx.data, among other technologies, that makes possible to seamlessly access and ingest massive sets of structured and unstructured data. AWS’s scalable infrastructure allows for rapid, large-scale implementation, ensuring agility and data security.

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TDC Digital leverages IBM Cloud for transparent billing and improved customer satisfaction

IBM Big Data Hub

According to the research, organizations are adopting cloud ERP models to identify the best alignment with their strategy, business development, workloads and security requirements. Furthermore, TDC Digital had not used any cloud storage solution and experienced latency and downtime while hosting the application in its data center.

Cloud 74
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The 7 most common data quality issues

Collibra

Data-driven organizations are depending on modern technologies and AI to get the most out of their data assets. But they struggle with data quality issues all the time. Incomplete or inaccurate data, security problems, hidden data – the list is endless. Ambiguous data. Hidden data.

Analytics 106
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The 7 most common data quality issues

Collibra

Data-driven organizations are depending on modern technologies and AI to get the most out of their data assets. But they struggle with data quality issues all the time. Incomplete or inaccurate data, security problems, hidden data – the list is endless. Ambiguous data. Hidden data.