With more and more use cases for AI and all its branches taking shape, big data is surging in relevance as the backbone of these projects—prompting DBAs, IT, data scientists, and more to take a closer look at the information being fed into their forecasts and models. To support organizations in navigating through new challenges and a rapidly evolving big data ecosystem, Big Data Quarterly presents 2024's "Big Data 75," a list of companies driving innovation and expanding what is possible in terms of collecting, storing, and extracting value from data.
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We decided this Sourcebook was timely, given how enterprise AI has caught mainstream attention and triggered the imaginations of those working in IT, knowledge management, and a score of other areas within the enterprise. AI is dominating headlines, and people want to know how they can best apply the various technologies under the AI banner.
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In an era marked by rapid urbanization and technological advancement, the concept of smart cities has captured the imagination of urban planners, technologists, and policymakers worldwide for over a decade. As cities grapple with the challenges of accommodating growing populations, managing resources efficiently, and improving quality of life, a new paradigm is emerging that promises to revolutionize urban living: the cognitive city. At the heart of this transformation lies the game-changing potential of generative AI, poised to unlock the true potential of smart cities and usher in a new age of urban intelligence.
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There is a confluence of activity—including generative AI models, digital twins, and shared ledger capabilities—that are having a profound impact on helping enterprises meet their goal of becoming data driven. Capturing data, converting it into the right insights, and integrating those insights quickly and efficiently into business decisions and processes is generating a significant competitive advantage for those who do it right.
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