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How to build a successful talent management strategy

IBM Big Data Hub

Advanced organizations know their greatest assets are their employees. However, keeping employees happy and engaged can be challenging, especially when considering available resources and the need to meet other organizational goals. Thus, organizations are prioritizing talent management more than ever.

Strategy 108
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AI this Earth Day: Top opportunities to advance sustainability initiatives

IBM Big Data Hub

This Earth Day, we are calling for action to conserve our scarcest resource: the planet. To drive real change, it’s crucial for individuals, industries, organizations and governments to work together, using data and technology to uncover new opportunities that will help advance sustainability initiatives across the globe.

IoT 85
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Creating exceptional employee experiences

IBM Big Data Hub

And to top it all off, the very nature of HR resists optimization, as employee experiences are hard to quantify, and organizations are difficult to change. HR has a vital role to play in delivering on these expectations to stay competitive, and leaders believe generative AI can help drive HR and talent transformation.

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The Ultimate Guide to Modern Data Quality Management (DQM) For An Effective Data Quality Control Driven by The Right Metrics

datapine

1) What Is Data Quality Management? 4) Data Quality Best Practices. 5) How Do You Measure Data Quality? 6) Data Quality Metrics Examples. 7) Data Quality Control: Use Case. 8) The Consequences Of Bad Data Quality. 9) 3 Sources Of Low-Quality Data. 10) Data Quality Solutions: Key Attributes.

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Generative AI use cases for the enterprise

IBM Big Data Hub

Before long, smartphones became a way of life for organizations worldwide because of all they offer for business productivity and communication. For example, organizations can use generative AI to: Quickly turn mountains of unstructured text into specific and usable document summaries, paving the way for more informed decision-making.

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Discover The Power Of Modern Performance Reports – See Examples & Best Practices 

datapine

In the past, these reports were used after a month or even a year since the data being displayed was generated. That said, just like many other business processes, reporting has mutated to meet the fast-paced environment organizations face today. Avoiding unnecessary waste of resources or worst consequences for the future.

Reporting 207
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Automate AWS Clean Rooms querying and dashboard publishing using AWS Step Functions and Amazon QuickSight – Part 2

AWS Big Data

Public health organizations need access to data insights that they can quickly act upon, especially in times of health emergencies, when data needs to be updated multiple times daily. Up-to-date information and analysis empowered organizations to monitor the rapidly changing situation and direct resources accordingly.