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Capitalizing on technology budgets: A CIO’s story

CIO

Tech and tech-adjacent expenditures, including categories like Customer Relationship Management (CRM), cloud and data services, billing, software, network storage, business process outsourcing, telecommunications services, and data center technology, represent significant expenses.

Budget 147
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Insights from your JIRA data to help improve your team

Xebia

Process mining status changes By analyzing the history of Jira issues, we can map out the actual flow of tasks and issues. Colors represent the status category. Reality checks : Often, a process is designed with many statuses. In this case, the designed process doesn’t match the reality.

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Yogurt maker stirs in SAP to boost its demand planning capability

CIO

More than 120 ‘flavors’ to handle When your company is dealing with today’s volatile market, a variety of products, and a supply chain covering 120+ countries – each with its own rules and processes – demand planning, including forecasting, can get a bit gut-wrenching. Such was the case with Danone.

Culture 306
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Nvidia AI Enterprise adds generative AI microservices

CIO

They’re split into two main categories — Nvidia NIM, which covers microservices related to deploying production AI models, and CUDA-X, for microservices like cuOpt, the company’s optimization engine. A host of further integrations is also coming to AI Enterprise 5.0, the company said.

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The complex patchwork of US AI regulation has already arrived

CIO

Three types of AI bills Most state bills targeting AI fall into three categories, according to Mahdavi. The first category includes pure transparency bills, generally covering both the development of AI and the output of its use. The Connecticut bill is “super ambitious, and they try to tackle a variety of issues,” Mahdavi says.

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How to Use Generative AI and LLMs to Improve Search

TechEmpower CTO

Rather than matching exact terms and requiring specific field values as inputs, it interprets and understands user queries, pinpointing the desired types or categories. Even if certain categories aren't predefined in the database, users still receive relevant product suggestions. Strive for a balanced outcome.

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How AI can drive efficiencies in your supply chain

CIO

One major benefit of AI in supply chain management is that, in the source-to-pay process, companies can gather immediate intuitive intelligence. For example, AI can quickly answer: what is the best strategy for optimizing savings in a rising market for a particular category?