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Training the Next Generation of Data Leaders: The Data Intelligence Project

Alation

Our platform combines data insights with human intelligence in pursuit of this mission. Susannah Barnes, an Alation customer and senior data governance specialist at American Family Insurance, introduced our team to faculty at the School of Information Studies of the University of Wisconsin, Milwaukee (UWM-SOIS), her alma mater.

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For the planet and people: IBM’s focus on AI ethics in sustainability

IBM Big Data Hub

That means making more sustainable choices about how models are built, trained, and used, where processing occurs, what infrastructure is used, and how open and collaborative we are along the way.” As data use and processing activities increase, so too will global emissions. In our 2023 Impact Report , we reported that 70.6%

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Generative AI use cases for the enterprise

IBM Big Data Hub

Generative AI ( artificial intelligence ) promises a similar leap in productivity and the emergence of new modes of working and creating. Generative AI represents a significant advancement in deep learning and AI development, with some suggesting it’s a move towards developing “ strong AI.”

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Data is essential: Building an effective generative AI marketing strategy

IBM Big Data Hub

Generative AI is powering a new world of creative, customized communications, allowing marketing teams to deliver greater personalization at scale and meet today’s high customer expectations. Enterprise marketing teams stand to benefit greatly from generative AI, yet introduction of this capability will require new skills and processes.

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Retailers can tap into generative AI to enhance support for customers and employees

IBM Big Data Hub

With the rise of highly personalized online shopping, direct-to-consumer models, and delivery services, generative AI can help retailers further unlock a host of benefits that can improve customer care, talent transformation and the performance of their applications. The impact of these investments will become evident in the coming years.

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5 steps for implementing change management in your organization

IBM Big Data Hub

Change management (CM) is a methodology that ensures both leaders and employees are equipped and supported when implementing changes to an organization. This blog outlines five steps to support the seamless integration of organizational change management. Your key leaders can provide helpful context and influence employee buy-in.

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Synthetic data generation: Building trust by ensuring privacy and quality

IBM Big Data Hub

With the emergence of new advances and applications in machine learning models and artificial intelligence, including generative AI, generative adversarial networks, computer vision and transformers, many businesses are seeking to address their most pressing real-world data challenges using both types of synthetic data: structured and unstructured.

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