DSC Weekly 2 April 2024

Announcements

  • TechTarget’s Enterprise Strategy Group conducted a survey of IT/DevOps pros and app developers responsible for their organizations’ application infrastructure and found that 63% have modernized their approach to IT service management (ITSM) strategy. The era of the traditional help desk model is a thing of the past, but what does the future of ITSM look like? Attend the upcoming Future of ITSM summit to discover the latest IT service management trends and technologies, including insight into AI-driven service management, cloud ITSM solutions, and IT-style automated workflows for non-IT departments.
  • In today’s constantly evolving digital landscape, networks are the backbone of modern enterprises. The need to prepare for potential network failures by instilling resilience and redundancy is more pressing than ever. Designing a stable, flexible and secure network infrastructure, with real-time visibility across assets and users is critical to maintaining reliability. Tune into the upcoming Strategies for a Resilient Network summit and discover strategies to design an agile, data-driven network that optimizes visibility, enhances DNS management and minimizes disruptions.

Top Stories

  • Ways LCD data science undermines more thoughtful approaches to AI
    April 2, 2024
    by Alan Morrison
    Lowest common denominator (LCD) data science is the unthinking variety of data science that doesn’t question the prevailing wisdom or try to counter it. The unfortunate reality is that LCD data science is much more common and triggers much more damaging side effects than the alternatives.
  • How to Transform Your ML Models with Generative AI
    April 1, 2024
    by Bill Schmarzo
    A “mix-in” is a component or feature added to an existing system or product to enhance its functionality, performance, or complexity without altering its core structure, akin to adding toppings to a dessert to enrich its flavor and appeal. Recently, a customer mentioned their plans to implement Generative AI (GenAI) for predictive maintenance.
  • How the New Breed of LLMs is Replacing OpenAI and the Likes
    March 31, 2024
    by Vincent Granville
    Of course, OpenAI, Mistral, Claude and the likes may adapt. But will they manage to stay competitive in this evolving market? Last week Databricks launched DBRX. It clearly shows the new trend: specialization, lightweight, combining multiple LLMs, enterprise-oriented, and better results at a fraction of the cost. Monolithic solutions where you pay by the token encourage the proliferation of models with billions or trillions of tokens, weights and parameters.

In-Depth

  • How data mapping enhances data governance and lineage
    April 2, 2024
    by Ovais Naseem
    In the big world of handling data, where information moves around in complicated ways, metadata is like a secret protector. It holds important clues about the data world. As data becomes more complex and there’s a lot more of it, organizations are starting to pay attention to metadata management, using tools like data mapping.
  • Blockchain’s role in enhancing data security in marketing
    April 2, 2024
    by Varun Bhagat
    With increasing data breaches and cyber threats, safeguarding marketing data becomes more critical for businesses. According to a recent report by IBM, the average data breach cost is estimated to be $3.86 million. This underscores the urgency for companies to fortify their data security measures.
  • R&D misdirection and the circuitous US path to artificial general intelligence
    April 1, 2024
    by Alan Morrison
    Big tech has substantial influence over the direction of R&D in the US. According to the National Science Foundation and the Congressional Research Service, US business R&D spending dwarfs domestic Federal or state government spending on research and development.
  • Gen AI’s memory wall
    March 31, 2024
    by Alan Morrison
    During an interview by Brian Calvert for a March 2024 piece in Vox, climate lead and AI researcher at Hugging Face Sasha Luccioni drew a stark comparison: “From my own research, what I’ve found is that switching from a non-generative, good old-fashioned quote-unquote AI approach to a generative one can use 30 to 40 times more energy for the exact same task.”
  • DSC Weekly 26 March 2024
    March 26, 2024
    by Scott Thompson
    Read more of the top articles from the Data Science Central community.
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