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4 paths to sustainable AI

CIO

Everything from geothermal data centers to more efficient graphic processing units (GPUs) can help. Use more efficient processes and architectures Boris Gamazaychikov, senior manager of emissions reduction at SaaS provider Salesforce, recommends using specialized AI models to reduce the power needed to train them. “Is

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4 ways to enable explainability in generative AI

CIO

Art, business, and generative AI Art has existed since the dawn of humankind, giving us a window into history and stories waiting to be revealed. Generative AI does this based on a knowledge graph, a network of related concepts. Deep learning models, for example, can have thousands or even millions of parameters.

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Prepare Your Workloads for the New Workforce Architecture

Hypergrid

This is exactly why businesses must employ agility in their business architecture in order to remain flexible and adaptable during the event of global disruption. Networking professionals are accustomed to identifying and eliminating bottlenecks. They also report that deployments of their Windows Virtual Desktop has tripled.

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Microsegmentation – Secure Your Internal Network

CTOvision

The argument is that today with the expansion of n-tier distributed systems and massively parallel architectures, east-west traffic has increased exponentially. Since 2000, secure networks have been built by segmenting traffic at the switch port level from server to server, radically limiting east-west traffic. It’s a great read.

Network 113
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Prepare Your Workloads for the New Workforce Architecture

CloudSphere

This is exactly why businesses must employ agility in their business architecture in order to remain flexible and adaptable during the event of global disruption. Networking professionals are accustomed to identifying and eliminating bottlenecks. They also report that deployments of their Windows Virtual Desktop has tripled.

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Microsoft Ignite: Nine Exciting Product Announcements and Key Takeaways

Perficient

Via Microsoft Fabric, Copilot Studio has a unified data layer that leverages AI to help users navigate complex tasks, automate repetitive processes, and improve efficiency. This creates a cohesive system with seamless data accessibility and usage.

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Fundamentals of Data Engineering

Xebia

. – Maxime Beauchemin Nowadays, data engineers are focused on balancing the simplest, most cost-effective, best-of-breed services that deliver value to the business. The data engineer is also expected to create agile data architectures that evolve as new trends emerge.