The need to balance data safety with new data initiatives, deliver business value, and change company culture around data tops this year's list of data and analytics management challenges. To help bring new resources and innovation to light, each year, Database Trends and Applications magazine presents the DBTA 100, a list of forward-thinking companies seeking to expand what's possible with data for their customers. Spanning the wide range of established legacy technologies from MultiValue to cutting-edge breakthroughs such as Web3, the DBTA 100 is a list of hardware, software, and service providers working to enable their customers' data-driven future.
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The Zero Trust model has emerged as a game-changing approach to data backup and security. With the proliferation of cyberattacks in recent years, traditional security measures are no longer sufficient. In 2023 alone, it is projected that cybercrime will cost businesses around the world over $8 trillion. This staggering figure underscores the urgent need for companies to adopt a more comprehensive approach to data protection.
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Democratizing data use within an organization empowers employees, fosters greater collaboration, and enables them to make more informed, data-driven decisions. By giving data and analytics tools and solutions to the many, companies can take accurate and timely decision making out of the hands of the few, resulting in improved productivity, increased efficiency, and enhanced business outcomes.
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The global hype surrounding ChatGPT, large language models (LLMs), and generative AI has launched a plethora of conversations about its efficacy in the business sphere; yet understanding how to best leverage these tools remains rather elusive. At Data Summit 2023, David Seuss led the session, "Investigating Neural Networks and AI," focusing on what ChatGPT, LLMs, and generative AI are, as well as how they can provide a competitive edge for a wide variety of organizations seeking to drive positive business outcomes.
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