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Optimizing Cost with DevOps on the Cloud

Smart Data Collective

Are you looking for a way to reduce the cost of your development efforts? The cost savings associated with DevOps on the cloud are significant. By leveraging existing cloud-based services, businesses can save time and money by avoiding costly IT overhead costs like maintenance, licensing fees, and server infrastructure setup.

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Optimizing the Value of AI Solutions for the Public Sector

Cloudera

There, I met with IT leaders across multiple lines of business and agencies in the US Federal government focused on optimizing the value of AI in the public sector. As also expected, most had experimented on their own with large language models (LLM) and image generators. The underlying reason?

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Measuring the impact: Unveiling the savings realized in cloud cost optimization 

IBM Big Data Hub

Similarly, comprehending the savings realized in a cloud-cost-optimization journey offers valuable insights into the impact of your efforts. It’s like having a financial guide by your side, showing you the tangible benefits of your optimization strategies and motivating you to keep pushing forward.

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UK Government tests frictionless trade models with Ecosystem of Trust pilots

IBM Big Data Hub

The UK government’s Ecosystem of Trust is a potential future border model for frictionless trade, which the UK government committed to pilot testing from October 2022 to March 2023. The models also reduce private sector customs data collection costs by 40%.

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Supply Chain Network Design Use Cases; From Lowering Cost to Going Green

Speaker: Aanand Pandey and Catalina Perez

Need to lower your supply chain costs, speed up delivery times or decrease carbon emissions? Start optimizing your supply chain! Finding optimal locations for plants and other resources. Finding optimal locations for plants and other resources. Modeling carbon cost. Dealing with abrupt changes in demand.

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Overcome the Challenges of Cloud Optimization & FinOps to Drive Business Value

CIO Business Intelligence

But when not managed strategically in the long run, cloud spending can quickly escalate and impact margins, cost of goods sold (COGS), and cost of revenue (COR). To optimize cloud investments, C-level executives are increasingly adopting cloud financial operations (FinOps).

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FPGA vs. GPU: Which is better for deep learning?

IBM Big Data Hub

When comparing frameworks for hardware design, critical considerations include the following: Performance speeds Power consumption Cost-efficiency Programmability Bandwidth Understanding graphics processing units (GPUs) GPUs are a type of specialized circuit that is designed to rapidly manipulate memory to accelerate the creation of images.

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LLMOps for Your Data: Best Practices to Ensure Safety, Quality, and Cost

Speaker: Shreya Rajpal, Co-Founder and CEO at Guardrails AI & Travis Addair, Co-Founder and CTO at Predibase

Large Language Models (LLMs) such as ChatGPT offer unprecedented potential for complex enterprise applications. However, productionizing LLMs comes with a unique set of challenges such as model brittleness, total cost of ownership, data governance and privacy, and the need for consistent, accurate outputs.