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4 smart technologies modernizing sourcing strategy

IBM Services

Sourcing is getting smarter. To start, many organizations have already pivoted from a tactical to a strategic sourcing mindset—which can make all the difference when it comes to gaining and retaining a competitive advantage. But now, the benefits of strategic sourcing are becoming even more attainable thanks to innovation.

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The Future of Data Analytics

The Hackett Group

Industrialized Data & Analytics. Some have even spun off data and analytics as a business services function, headed by a chief data officer. They are also making major investments in developing and hiring staff with data science and analytics skills to extract and apply all potential value. Reap the Rewards.

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Boosting Node.js Performance and Efficiency with Redis

Perficient Digital Transformation

Redis in a Nutshell Redis, short for Remote Dictionary Server, is an open-source, in-memory data structure store. applications: Caching: Caching involves storing frequently accessed data in memory to reduce the load on your primary data source, like a database. today to unlock new levels of speed and efficiency.

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Harnessing AI and data analytics can make clean energy more viable

IBM Services

This is where harnessing artificial intelligence (AI) and data analytics can help. Companies that harness AI and data analytics can also make clean energy more viable overall by increasing their cost competitiveness over legacy energy sources. The latter can also help drive efficiency by lowering end-user energy use.

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Data virtualization unifies data for seamless AI and analytics

IBM Services

Data virtualization bridges this gap, allowing organizations to use their existing data sources with flexibility and efficiency for AI and analytics initiatives. Virtualizing data acts as a bridge, enabling the platform to access and display data from external source systems on demand. Why choose data virtualization?

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Data science vs data analytics: Unpacking the differences

IBM Services

Though you may encounter the terms “data science” and “data analytics” being used interchangeably in conversations or online, they refer to two distinctly different concepts. Meanwhile, data analytics is the act of examining datasets to extract value and find answers to specific questions.

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The Azure Well Architected Framework: Performance Efficiency Pillar

Perficient Digital Transformation

A group of five pillars encompassing Reliability, Security, Cost Optimization, Operational Excellence, and Performance Efficiency. Cost Optimization must be balanced against Performance Efficiency. Conversely, Operational Excellence may complement and enhance Performance Efficiency. ” ~ David Allen.