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

CIO Business Intelligence

While this model is not diminishing, new cloud-based software technologies are changing business needs and competitive realities are giving rise to alternative technology solutions business models. Software is starting to run through everything from on-premises to remote services and enables automation, analytics, insights and cybersecurity.

Software 109
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12 considerations when choosing MES software

IBM Big Data Hub

Implementing such solutions could be the key to a new era of productivity for your organization, but implementing new and expansive IT software can be intimidating. Choosing the right MES software: 12 things to think about Selecting manufacturing execution system (MES) software is a critical decision for any manufacturing organization.

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A Data Prediction for 2025

DataKitchen

The crazy idea is that data teams are beyond the boom decade of “spending extravagance” and need to focus on doing more with less. This will drive a new consolidated set of tools the data team will leverage to help them govern, manage risk, and increase team productivity. ’ They are data enabling vs. value delivery.

Metadata 130
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Why Is Data Loss Prevention is Crucial for Business?

Smart Data Collective

Data loss prevention (DLP) strives to protect your business data from inside or outside compromise. This includes data leakage, data loss , misuse of data, or data compromised by unauthorized parties. The primary approach of DLP software is to focus on monitoring and control of endpoint activities.

Risk 123
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The case for predictive AI

CIO Business Intelligence

According to Forrester , GenAI will have an average annual growth rate of 36% up to 2030, capturing 55% of the AI software market. The primary objective of Predictive AI is to extract valuable insights and make informed predictions based on available data. What’s the difference? Artificial Intelligence, Machine Learning

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10 Examples of How Big Data in Logistics Can Transform The Supply Chain

datapine

Your Chance: Want to test a professional logistics analytics software? 10 Essential Big Data Use Cases in Logistics Now that you’re up to speed on the perks of investing in analytics, let’s look at some practical examples that highlight the growing importance of data in logistics, based on different business scenarios.

Big Data 275
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How to use DSPM to reduce cloud storage costs: a guide on how to identify and delete redundant, obsolete, or trivial data in cloud environments using DSPM tools

Laminar Security

This type of data, which often accumulates unnoticed, can significantly inflate cloud storage costs. By using DSPM tools to pinpoint and remove ROT data, businesses can both reduce their storage needs and also streamline their operations while minimizing the risk of data breaches.