Prioritizing data quality is step one to becoming data-driven. However, what is step one to improving data quality? In most IT suites, the argument is better processes, better data fields, and better technology. Kasara Weinrich, principal consultant, future of work, ADP disagrees. Organizational data literacy is the most important step to truly achieving great data quality, data-driven decision making, and data management. At Data Summit 2023, Weinrich talked about this during her session, "Data as a Second Language: Every Layer of Your Organization Needs to Be Fluent."
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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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Startups continue to emerge this year, addressing challenges and leveraging opportunities in innovative and novel ways. The landscape is constantly changing, and 2023 is no different. These companies bring fresh approaches to accelerating digital transformation, expanding what's possible with AI and analytics, breaking down silos, enhancing security, improving data observability, becoming a part of data fabric or mesh, and more.
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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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