Data-Driven Insights

In this fireside chat from AWS re:Invent 2024, Matt Garman, CEO of AWS, discusses key trends and opportunities in cloud computing. He emphasizes AWS's commitment to customer success, continuous innovation in foundational services, and the transformative potential of generative AI. He also highlights the importance of security, data management, and upskilling to fully leverage cloud capabilities. He encourages enterprises to think creatively about AI applications and to learn from startup agility.

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Find out how demand-sensing technology could herald a positive shift in supply chain forecasting in this report from Kearney and AWS. The transformative potential of AI-driven demand-sensing technology is reshaping supply chain forecasting and planning processes. This innovative approach leverages a wealth of internal supply chain and external market data to enhance the accuracy of predictions, even within the context of ongoing market volatility.

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In this Spotlight, Jack Berkowitz, the Chief Data Officer at ADP discusses the importance of unlocking data silos to share and understand information while still protecting the client’s privacy. We will then shift gears to share the secrets of how ADP evaluates data to know if a company is genuinely seeking diversity, equity, and inclusion. We will conclude with a section devoted to why the pivot to the cloud added the pace and framework to accelerate their business.

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Robyne Teslich, the Deputy Chief Information Officer for Cloud Transformation at Lawrence Livermore National Laboratory, sits down with us to talk about the complexities of migrating to the cloud and the added complexity of contracts with the public sector. Hear Robyne talk about why leaders should embrace cloud transformation and her approach to changes at a massive scale.

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Data is more than an operational asset like factories, machinery, IP, and capital. Utilized correctly, data is an invaluable source of potential growth. The key is recognizing its inherent value, leveraging it intelligently, and creating a culture that embraces the power of being data-driven.

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With artificial intelligence and machine learning capabilities starting to come to fruition, it’s more important than ever for enterprises to get a better handle on the data they have, and harness its power and become a data-driven organization. Joe Chung, Enterprise Strategist and Evangelist at AWS, describes how data issues can be masked in different ways, and shares some practical first steps you that can take to address your organization's big data problem.

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