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The continued rise of generative AI is transforming industries across the globe, but staying abreast and ahead of this fast-evolving landscape can be a challenge. Join industry experts for Enterprise Strategy Group: GenAI Summit 2025 as they explore the latest trends, insights, and strategies for harnessing the power of generative AI. The GenAI Summit will uncover best practices and key use cases driving adoption, including buyer preferences and the impact of AI agents. Speakers will go deep into customer service, where generative AI is delivering tangible benefits through advanced automation and personalized interactions.
Top Stories
The role of AI in fighting supply chain fraud January 14, 2025 by Zachary Amos Artificial intelligence has proven itself a powerful tool for forecasting outcomes, analyzing datasets and enhancing insight extraction. But can it tackle a massive problem like supply chain fraud? Although its applications in fraud prevention are extensive, mitigation in an extensive, interconnected logistics system is another beast entirely. What is supply chain fraud?”
Artificial general intelligence: What “general” really means January 16, 2025 by Alan Morrison While generative AI and the evolution of large language models (LLMs) continue to capture the public’s imagination, it’s worth remembering that the vast majority of business data remains untapped. Even if it were suddenly made available, non-public data wouldn’t be available in a sharable or reusable form.
Digital Twins in manufacturing: Revolutionizing production and maintenance January 17, 2025 by Shanthababu Pandian Digital Twins technologies are virtual replicas of physical assets that help streamline processes or systems that mirror real-time data and operational conditions. They provide solutions using Artificial Intelligence technology. In this article, we will discuss the influence of Digital Twins and AI In manufacturing in terms of how they are revolutionizing production and maintenance by optimizing operations, enabling predictive maintenance, and enhancing overall efficiency.
In-Depth
Big AI: Cloud infrastructure dependence and the industrialization of AI January 21, 2025 by John Lee The ‘cloud AI wars’ at major technology companies are intensifying (Goldman, 2022). Industry leaders say AI is transforming society. AI’s foundational and transformative nature is emphasised by Bill Gates (2023) and Alphabet’s Sundar Pichai (2023). Amazon, Microsoft, and Google are allegedly driving this transformation.
The role of data science in verifying pay stub accuracy January 21, 2025 by Rob Turner Ensuring pay stubs are accurate is crucial – for both companies and employees. After all, errors in payroll can lead to financial losses, compliance issues, and even strained employee/employer relationships. This is where data science steps in. It is transforming the way businesses verify pay stub details.
How to ensure data consistency in machine learning January 21, 2025 by Zachary Amos Machine learning enables systems to analyze data and make decisions without manual intervention. However, reliability hinges on the quality of the information they use. Data consistency ensures it remains accurate, uniform and reliable throughout the pipeline. Without coherence, models can produce flawed predictions and ultimately fail to deliver actionable insights.
What’s behind the AI adoption and hiring challenge in organizations? January 15, 2025 by Alan Morrison Companies for a decade now have been thinking they have to adopt AI, or they’ll get left behind. But most still don’t acknowledge the nature or the depth of the real challenge they face. Ultimately, it’s not an algorithm or machine learning challenge. Instead, it’s a people, process, data resource and app rationalization challenge.
DSC Weekly 14 January 2025 January 14, 2025 by Scott Thompson Read more of the top articles from the Data Science Central community.
