The 2024 Global Trends in AI report, conducted by S&P Global Market Intelligence and commissioned by WEKA, reveals critical insights into the rapid evolution of AI adoption and its impact on businesses worldwide. The survey, which included over 1,500 AI practitioners and decision-makers, highlights key trends and practices of organizations leading the AI revolution, especially since the emergence of generative AI models like ChatGPT-3 in early 2023.
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Variscite, a global leader in System on Module (SoM) design, development, and manufacturing, has announced a strategic partnership with Peridio, an expert in Artificial Intelligence of Things (AIoT) development at the edge. This collaboration aims to support Variscite customers in creating and managing edge AI/ML applications, streamlining development processes, and mitigating associated risks.
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O’Reilly, a leading provider of technology and business learning solutions, has launched the O’Reilly AI Academy, a new platform offering access to a comprehensive range of generative AI-focused resources including books, live events, and on-demand courses. Designed to help enterprise workforces develop the skills necessary to effectively utilize GenAI tools, the O’Reilly AI Academy is available to current O’Reilly online learning platform subscribers and as a standalone subscription for organizations seeking to upskill their teams in this transformative technology.
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Mindbreeze, a leader in AI-based knowledge management solutions, proudly announces that Mindbreeze InSpire has been named a KMWorld Trend-Setting Product for 2024. This recognition highlights Mindbreeze's commitment to innovation and excellence in the knowledge management space. KMWorld's annual Trend-Setting Products list celebrates pioneering solutions that help organizations harness the power of information, streamline processes, and drive digital transformation. The 2024 list showcases products that leverage evolving technologies to solve core knowledge management challenges.
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Enterprise data is rapidly evolving to meet the demands of AI-powered applications. A strong, cloud-based data foundation is critical for unlocking the full potential of this data, as it provides the scale, agility, and power needed to drive business reinvention. According to Gartner, 80% of organizations attempting to scale their digital business by 2025 will fail due to inadequate data and analytics governance. Kerem Koca, CEO of BlueCloud, emphasizes that a robust data strategy is essential for leveraging AI effectively, but warns that poorly managed data can become overly complex, siloed, and difficult to unlock.
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Oracle announced the general availability of Oracle Cloud Infrastructure (OCI) Generative AI (GenAI) Agents with retrieval-augmented generation (RAG) capabilities. These innovations empower customers to leverage AI to streamline business processes, providing a competitive advantage by simplifying the application of AI in real-world operations. The launch introduces new AI features across OCI’s suite, including advanced data management, language processing, and computer vision capabilities.
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Vonage, a global leader in cloud communications and part of Ericsson, has announced a new collaboration with SAP SE to explore generative AI and NextGen use cases using Vonage’s API platform and SAP Business AI. This partnership aims to leverage Vonage’s Communications Platform as a Service (CPaaS) and SAP Business Technology Platform (SAP BTP) to enhance customer experiences, improve operational efficiencies, and drive innovation in business communications and engagement.
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webAI, an AI development platform providing localized AI infrastructure for enterprises, has announced two significant milestones in its mission to democratize AI access. By offering a superior alternative to traditional cloud-based models, webAI aims to fundamentally change how companies deploy and manage AI. The company recently appointed three industry veterans to its board of directors and completed a Series A funding round at a $700 million valuation, marking a pivotal moment in its growth journey.
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In 2024, Nucleus Research the Industrial Internet of Things (IIoT) software landscape is evolving, with vendors shifting away from standalone IIoT platforms towards data science platforms that enhance IIoT workflows through a data-centric approach. This trend reflects the increasing need for organizations to extract more value from their industrial data by leveraging advanced data processing, machine learning, and AI-powered analytics for predictive insights.
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