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DSC Weekly 12 November 2024

  • Scott Thompson 

Announcements

  • Ransomware remains an ongoing threat as it continues to evolve. Companies must be vigilant with the rapid expansion of AI and other emerging technology creating even more opportunities for cyber criminals. Tune into the upcoming Tackling Ransomware and Emerging Threats summit for advice to prevent and recover from the latest crop of ransomware attacks. Leading industry thought leaders will discuss innovative platforms, frameworks and employee training techniques as well as detail the AI and social engineering attacks to remain vigilant of in 2026.
  • Legacy IT operations approaches are inefficient with the proliferation of digital environments, applications, services and data involved in modern day business. An effective AIOps roadmap evaluates the most suitable solutions for your organization’s needs to ensure practical approaches and best practices during implementation. Join the two-day Reimagining IT Operations with AI summit to explore how AIOps is changing IT operations teams by simplifying infrastructure optimization, automating routine monitoring, speeding up route cause analyses and reducing MTTR. 

Top Stories

  • Creating a clean generative AI data set with Getty Images
    12 November 2024
    by Esther Ajao and Shaun Sutner
    At the beginning of the wave of generative AI hype, many feared that generative models would replace the jobs of creatives like artists and photographers. With generative AI models such as Dall-E and Midjourney seemingly creating unique works of art and images, some artists found themselves at a disadvantage. Some say the generative systems took their artwork, copied it and used it to produce their own images. In some cases, the generative systems allegedly outright stole the creative work.
  • Why AI in QA isn’t quite ready yet
    November 11, 2024
    by Serhii Mohylevskyi
    AI isn’t just the next big thing; it’s here now, and whoever isn’t using it is missing out.Our clients often ask about AI tools in our development process, but finding a trulyvaluable approach hasn’t been simple. Here’s how my team and I integrated AI intoquality assurance and what we learned along the way.
  • Sports Lessons: Leveraging Organizational Improv to “Do More with Less”
    November 10, 2024
    by Bill Schmarzo
    In my blog “The Economics of “Do More With Less”: Blending AI with Organizational Discipline,” I discussed the challenges organizations face when trying to accomplish more with fewer resources. While AI can power with the “Do More” part of the “Do More With Less” equation, the key to success with the “With Less” part of the equation involves reshaping the organization’s culture.  And that makes the AI challenge look like chump change.

In-Depth

  • Boosting government efficiency with valuable AI knowledge
    November 12, 2024
    by John Lee
    As artificial Intelligence (AI) has swiftly progressed through the years, it continues to bring tremendous potential, not just in the comfort of our homes but in various areas as well. Artificial intelligence has been utilized for repetitive tasks, such as music playback and online recipe verification.
  • Big data analytics in government: How the public sector leverages data insights
    November 12, 2024
    by Ernest Tarango
    Big data can have a huge impact on governments local, national, and global. Governments must make sense of the enormous amount of data they receive daily and try to make sense out of it to make critical decisions that affect millions of people.
  • Why big data analytics is critical for success
    November 11, 2024
    by Asmar Atif
    Big data analytics are an integral component of the modern business realm. Companies like Amazon and Marriott are strong examples of the success brought about by big data analytics, driving industry dominance. In this blog, we’ll outline why big data analytics are crucial to businesses striving for success today, and into 2024 and beyond.
  • Cloud infrastructure and the hype, reality and hope of generative AI
    November 10, 2024
    by Eduardo Mota
    In Gartner’s Hype Cycle for Artificial Intelligence 2024, we learned AI has made it over the “Peak of Inflated Expectations” and is poised to slip into the “Trough of Disillusionment.” Relax, Tolkien fans, this isn’t another Middle-earth adventure sequel. It means despite record investment, AI hasn’t returned the expected business value.
  • 5 tips for fine-tuning LLMs
    November 8, 2024
    by Kevin Vu
    LLMs are equipped with general-purpose capabilities handling a wide range of tasks including text generation, translation, summarization, and question answering. Despite being so powerful in global performance, they still fail in specific task-oriented problems or in specific domains like medicine, law, etc. 
  • 4 strategies for AI-driven vulnerability management
    November 8, 2024
    by Rob Turner
    Harnessing artificial intelligence to manage vulnerabilities opens the door to efficient threat detection and proactive risk management.  Organizations of all sizes stand to benefit when they look beyond traditional methods, so here’s the lowdown on AI-focused strategies that are worth adopting today.
  • DSC Weekly 5 November 2024
    November 5, 2024
    by Scott Thompson
    Read more of the top articles from the Data Science Central community.

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