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Building a Data Strategy for Defence Partners

Alation

Data gathering and use pervades almost every business function these days — and it’s widely acknowledged that businesses with a clear strategy around data are best placed to succeed in competitive, challenging markets such as defence. What is a data strategy? Why is a data strategy important?

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Top Cloud Data Security Statistics for 2023

Laminar Security

With the mass adoption of the cloud, businesses of all sizes and industries gained access to the vast amounts of data generated by their own operations, their customers, and the market at large. Gartner predicts that 60% of investors will ask for details of a business’s cybersecurity program when assessing investment potential by 2025.

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The future of application delivery starts with modernization

IBM Big Data Hub

IDC estimates that 750 million cloud native will be built by 2025. Three in four executives reported disparate systems in their organizations and that a lack of skills, resources and common operational practices challenge business objectives. Executives know they must modernize. It needs minimal setup.

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3 Patterns for Business Success with Data

CIO Business Intelligence

I’ve been a data practitioner responsible for the delivery of data management strategies in financial services, online retail, and just about everything in between. In all of these roles, I’ve come across patterns that enable organizations to build faster business insights and innovation with data. 1) The cloud-native pattern.

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Customizing Personal Lines Insurance with Location Data

Cloudera

billion units by 2025, a huge jump from the 13.8 I recently attended one of Majesco’s excellent webinars hosted by Denise Garth, Chief Strategy Officer. All locations and travel behaviors do not carry the same risk profiles, of course, and the assessment of detailed location information allows for fairer pricing and underwriting.

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How to choose the best AI platform

IBM Big Data Hub

.” When observing its potential impact within industry, McKinsey Global Institute estimates that in just the manufacturing sector, emerging technologies that use AI will by 2025 add as much as USD 3.7 AI technology is quickly proving to be a critical component of business intelligence within organizations across industries.