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Streamlining supply chain management: Strategies for the future

IBM Big Data Hub

In today’s complex global business environment, effective supply chain management (SCM) is crucial for maintaining a competitive advantage. Here’s how companies are using different strategies to address supply chain management and meet their business goals.

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Five ways to reduce your public cloud spend with IBM Turbonomic

IBM Big Data Hub

But there’s another option: cloud management platforms and FinOps to better manage costs. In this blog, we’ll look at five simple ways to optimize spend with IBM Turbonomic — a hybrid cloud cost optimization platform and the “Ops” in FinOps — while still leveraging the elasticity of the cloud.

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Renewable energy trends and developments powering a cleaner future

IBM Big Data Hub

Wind and solar photovoltaic (PV) power generation are forecast to exceed nuclear power generation in 2025 and 2026, respectively. Let’s take a closer look at several types of renewable energy resources and the trends taking shape in each category. And by 2028, 68 countries will boast renewables as their main source of power.

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6 considerations to take when approximating cloud spend

IBM Big Data Hub

There are many reasons why organizations have embraced cloud services, including improved efficiencies, cost savings, scalability, flexibility and quicker time-to-market. In addition, companies can run up cloud costs because they provision more resources than necessary for their normal business functions.

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What is zero-based budgeting?

IBM Big Data Hub

In this blog post, we will delve into the concept of zero-based budgeting, exploring its definition, advantages, disadvantages, implementation steps, and tools needed. The aim is to optimize resource allocation by ensuring funds are allocated to activities that align with strategic objectives and generate the highest value.

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Open Records Requests 101

Gimmal

These laws and supporting regulations are enacted to provide transparency into government dealings and to improve accountability of the process. Furthermore, the number of requests is forecasted to increase, as is the volume of information stored in governmental systems. Step 2: Plan for Disruption.

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10 everyday machine learning use cases

IBM Big Data Hub

ML also helps businesses forecast and decrease customer churn (the rate at which a company loses customers), a widespread use of big data. Facebook also uses ML to monitor Messenger chats for scams or unwanted contacts, such as when an adult sends a great deal of friend or message requests to people under 18.