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Unlocking the Power of AI with a Real-Time Data Strategy

CIO

By George Trujillo, Principal Data Strategist, DataStax Increased operational efficiencies at airports. To succeed with real-time AI, data ecosystems need to excel at handling fast-moving streams of events, operational data, and machine learning models to leverage insights and automate decision-making.

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App Modernization in the Digital Age: The Role of AI and ML in Application Modernization

OTS Solutions

This process includes making changes to the app architecture, features, design, and infrastructure to optimize performance, usability, and security. AI and ML algorithms use statistical models to identify patterns in data and make predictions, classifications, and optimizations.

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App Modernization in the Digital Age: The Role of AI and ML in Application Modernization

OTS Solutions

This process includes making changes to the app architecture, features, design, and infrastructure to optimize performance, usability, and security. AI and ML algorithms use statistical models to identify patterns in data and make predictions, classifications, and optimizations.

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Power BI Purchase Dashboards

Sunflower Lab

With Microsoft Power BI’s capabilities , raw procurement data turn into actionable insights, offering cost reduction, operational streamlining, and risk mitigation. Additionally, it presents data extracted from business purchases, including the total PO Amount and Quantity, as well as any outstanding balances.

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The Advantages Of Live Data-Streaming In The Competitive Financial Services Sector (Part I)

Cloudera

Live data-streaming offers businesses exciting new opportunities to transform the way they operate, leveraging real-time insights to drive better decision making and enhance operational efficiency. To start off, what are the advantages of a forward-looking data-in-motion strategy?

Data 60
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Must-Have Features of a Hybrid Cloud Data Warehouse

Actian

Are you considering a hybrid cloud data warehouse for your company? Here is a list of the top must-have features of a hybrid cloud data warehouse solution. Multi-Cloud Deployment. Your hybrid cloud data warehouse should support multi-cloud deployment.

Cloud 40
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How ATB Financial is Utilizing Hybrid Cloud to Reduce the Time to Value for Big Data Analytics by 90 Percent

Cloudera

A key pillar in the transformation journey is focused on robust data operations that can help ATB deliver timely, relevant and delightful service. The company sought a data management platform that would allow its enterprise to handle greater data variety, velocity and volume in a cost-effective manner.