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How modern CIOs are freeing up time to lead strategy

CIO Business Intelligence

Without it, hybrid work can’t exist, cloud applications don’t perform adequately and online interaction delays frustrate potential customers. This frees CIOs to focus more on developing their vision for improving customer experience; a strategy repeatedly demonstrated to improve profitability.

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

datapine

The rise of SaaS business intelligence tools is answering that need, providing a dynamic vessel for presenting and interacting with essential insights in a way that is digestible and accessible. The future is bright for logistics companies that are willing to take advantage of big data. million miles.

Big Data 275
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Kickstart Your Storage Modernization Strategy

CDW Research Hub

The volume of data that organizations are collecting is growing exponentially as more users, their devices and devices connected to the Internet of Things (IoT) come online. With those numbers growing every year, it’s essential for every business to adopt a forward-looking storage modernization strategy. Try to be less reactive.

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Delivering Low-latency Analytics Products for Business Success

Rocket-Powered Data Science

As the number of sensors in business and industry environments began to increase dramatically, including ubiquitous IoT (Internet of Things) and data sourcing through APIs, so have the number of analytics applications multiplied and become embedded within more business enterprise processes. These may not be high risk.

Analytics 166
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Creating Data Value With a Decentralized Data Strategy

CIO Business Intelligence

For decades organizations chased the Holy Grail of a centralized data warehouse/lake strategy to support business intelligence and advanced analytics. billion connected Internet of Things (IoT) devices by 2025, generating almost 80 billion zettabytes of data at the edge. Modern enterprises have to adopt a dual strategy.”.

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AI-First Benefits: 5 Real-World Outcomes

Cloudera

AI has the potential to transform operations by improving three fundamental business requirements: process automation, decision-making based on data insights, and customer interaction. Among the benefits of AI-first strategies are: Operational efficiency. Benefits aplenty. AI also enables 24-hour operations with minimum downtime. .

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Examples and uses of GIS

IBM Big Data Hub

Integrating GIS, artificial intelligence (AI) , the Internet of Things (IoT) , cloud and mobile technologies into field service management (FSM) makes the most current information available to field service technicians. Additionally, IBM and Texas A&M AgriLife have created a tool to help improve crop management strategies.