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A look into the lifecycle of software-defined infrastructure with NTT DATA’s Technology Solutions

CIO Business Intelligence

This complexity makes it difficult to achieve the main goals of digital transformation: creating a uniform client experience, a uniform vendor experience, and reaching the right cost structure to achieve this. This includes working with service providers that can manage and dispose of these assets correctly.

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The Impact of Healthcare BI Tools on Decision-Making and Patient Care

FineReport

These innovative solutions pave the way for future trends in healthcare, shaping the industry’s digital transformation journey. Challenges in Data Management Data Security and Compliance The protection of sensitive patient information and adherence to regulatory standards pose significant challenges in healthcare data management.

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How to build a successful hybrid cloud strategy

IBM Big Data Hub

Hybrid cloud has become the IT infrastructure of choice, providing the interoperability and portability organizations need to access data where and when they need it. Yet navigating the complexities of building and managing a hybrid environment poses unique challenges. Does your company need services to accelerate cloud migration ?

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12 considerations when choosing MES software

IBM Big Data Hub

If your manufacturing processes have become more intricate and challenging to manage manually, an MES can help streamline manufacturing operations management, increase efficiency and reduce errors. MES systems can assist managers with process management and process control, helping to facilitate optimal performance of manufacturing.

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Data-driven competitive advantage in the financial services industry

Cloudera

The same study also stated that having stronger online data security, being able to conduct more banking transactions online and having more real-time problem resolution were the top priorities of consumers. . Financial institutions need a data management platform that can keep pace with their digital transformation efforts.

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Using DataOps to Drive Agility and Business Value

DataKitchen

In May 2021 at the CDO & Data Leaders Global Summit, DataKitchen sat down with the following data leaders to learn how to use DataOps to drive agility and business value. Kurt Zimmer, Head of Data Engineering for Data Enablement at AstraZeneca. Jim Tyo, Chief Data Officer, Invesco.

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How to choose the best AI platform

IBM Big Data Hub

The best AI platforms typically have various measures in place to ensure that your data, application endpoints and identity are protected. Intelligent workflows : AI optimizes in-store processes, inventory management and deliveries. Security controls are vital to help identify and protect against rapidly evolving threats.