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IBM and TechD partner to securely share data and power insights with gen AI

IBM Big Data Hub

As technology expands, at TechD , we know that the quality of generative AI (gen AI) depends on accurate data sourcing. A reliable and trustworthy data source is essential for sharing information across departments. This addresses data management, conversational interface and natural language processing needs with efficiency.

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4 Data-Driven Ways to Improve Employee Engagement

datapine

Also, a great way to collect employee engagement data is using Gallup’s Q12 survey , which consists of 12 carefully crafted questions that gauge the most crucial aspects of employee engagement. Employee engagement refers to the level of commitment employees have to their work, their team’s goals, and their company’s mission.

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Building on a year of focus to help IBM Power clients grow with hybrid cloud and AI

IBM Big Data Hub

At the beginning of the year, we laid out a new strategy for IBM Power under the leadership of Ken King, who will be retiring by the end of 2023 after forty years with IBM. I am excited to announce, therefore, that a few months ago I took on the role of IBM Power general manager. Let’s dig in to some specifics.

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The dynamic forces behind data center re-transformation 

IBM Big Data Hub

Data centers are undergoing significant evolution. Catalysts and conundrums A dramatic shift in development and operations is making data centers more agile and cost-effective. Catalysts and conundrums A dramatic shift in development and operations is making data centers more agile and cost-effective.

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MRO spare parts optimization

IBM Big Data Hub

Many managers in asset-intensive industries like energy, utilities or process manufacturing, perform a delicate high-wire act when managing inventory. Many asset-intensive businesses are prioritizing inventory optimization due to the pressures of complying with growing industry 4.0 What’s at stake?

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6 ways generative AI can optimize asset management

IBM Big Data Hub

Every asset manager, regardless of the organization’s size, faces similar mandates: streamline maintenance planning, enhance asset or equipment reliability and optimize workflows to improve quality and productivity. These foundation models, built on large language models, are trained on vast amounts of unstructured and external data.

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What is vegetation management? 

IBM Big Data Hub

When North America suffered its largest blackout , it cost upwards of USD 6 billion and left 50 million people without power for up to two days. Overgrown trees that came into contact with a power line. Vegetation management aims to mitigate these risks. Vegetation management aims to mitigate these risks.