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VeloxCon 2024: Innovation in data management

IBM Services

VeloxCon 2024 , the premier developer conference that is dedicated to the Velox open-source project, brought together industry leaders, engineers, and enthusiasts to explore the latest advancements and collaborative efforts shaping the future of data management.

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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. .

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Watsonx: a game changer for embedding generative AI into commercial solutions

IBM Services

offers intuitive tooling for powerful foundation models; watsonx.data enables compute-efficient, scalable workloads wherever data resides; and the third component, watsonx.governance , provides guardrails essential to responsible implementation. The most common use cases from partners often combine several of these AI tasks.

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Turn Your Contact Center Into a Revenue Center

Perficient Digital Transformation

The expertise your contact center agents developed answering these questions combined with your contact center teams’ ability to deliver empathetic and efficient customer experiences opens revenue generating opportunities for your business. Here are 4 scenarios where your contact center provides opportunities to drive revenue.

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Sensors, signals and synergy: Enhancing Downer’s data exploration with IBM

IBM Services

Downer, a leading provider of integrated services in Australia and New Zealand, considers itself a guardian of the elaborate transportation matrix, and it continually seeks to enhance its operational efficiency. functionality (deployed on IBM Cloud®), making anomaly detection more efficient.

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Operationalizing responsible AI principles for defense

IBM Services

AI literacy is a must-have for security It’s important that personnel know how to deploy AI to improve organizational efficiencies. Empower domain experts to curate and maintain trusted sources of data used to train models. Make this metadata easily findable by people (ultimately at the source of output).

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The Generative AI Gold Rush: Tailored Strategies of Leading Hyperscalers

Zinnov

Meta, uncharacteristically leveraging hyperscaler partners, then announced their own large language model (LLM), which is open-source and free for enterprises and consumers alike. This allowed Google engineers to build an extensive IP privacy protection system – a different focus than ChatGPT. AWS doesn’t believe so.