Your AI-accelerated future will include operationalizing AI, rewriting your leadership skill set, and harnessing the next killer app. Hear from more than a dozen experts and execs on:
Snowflake AI + DataPredictions 2025 Read More »
Generative AI (gen AI) and large language models (LLMs) are revolutionizing personal and professional lives. From supercharged digital assistants that manage email to seemingly omniscient chatbots that can communicate with enterprise data across industries, languages, and specialties, these technologies are driving a new era of convenience, productivity, and connectivity. This book provides an introductory overview
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As generative AI (gen AI) adoption transforms the competitive landscape, businesses without a strong data strategy will find their ambitions limited, according to a new report by MIT Technology Review Insights, in partnership with Snowflake. The report surveyed more than 275 global business leaders, from a broad range of industries, about their hopes for gen
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The Data Executive’s Guide to Effective AI provides a roadmap to help data, analytics and AI leaders effectively implement and scale AI initiatives across their organizations. We drew on in-depth interviews with nearly one dozen data executives from Siemens Energy, ServiceNow, State Street and more, working to transform their organizations with new technologies. This report
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The volume, variety, and velocity of data have exploded. Legacy systems are struggling to keep up. Traditional solutions often fall short when it comes to powering AI-driven innovation or streamlining application development. The Essential Guide to Cloud AI and Data Platforms explores how to harness your data’s full potential with flexible storage, elastic compute, built
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As technology evolves, organizations prioritize hybrid cloud solutions for flexibility and innovation. Cloud management, including hybrid and multicloud management, is a top funding priority, emphasizing the need for improved security and data protection. Red Hat and Google Cloud help optimize hybrid cloud environments, offering solutions like Red Hat Enterprise Linux and OpenShift for faster application
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AI advancements offer CSPs new revenue opportunities while optimizing networks and operations. Success requires strategic partnerships with vendors, hyperscalers, and AI specialists, alongside leveraging key assets like networks, data, and customer relationships. This report explores AI-driven opportunities, CSP progress, and future strategies. Read to discover: Download now to stay ahead with Red Hat.
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Code creation is the most common AI use case, but it only scratches the surface of what’s possible. Discover how your entire team can incorporate AI into their day-to-day workflow with GitLab Duo, a suite of AI-powered features that support teams within GitLab, enabling them to streamline workflows, boost productivity, and increase collaboration Key takeaways
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To stay competitive, organizations can no longer ignore the transformative power of artificial intelligence (AI) and machine learning (ML) in software development. Generative AI has already begun to revolutionize various aspects of the software development process, enabling teams to work more efficiently and effectively and creating a competitive advantage. As organizations seek to adapt to
For many developers and DevSecOps teams, AI has become critical to the software development process. Despite the need for AI tools, there are concerns around adopting AI at such a rapid pace – 55% of respondents shared that introducing AI into the software development lifecycle (SDLC) is risky. In this guide, we’ll help you navigate
