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DSC Weekly 16 January 2024


  • Generative AI signifies a pivotal shift in today’s technological landscape. It promises profound insights, streamlined operations, and assistance with data-driven decisions on an unprecedented scale. However, GenAI also brings forth ethical and regulatory considerations that require attention for modern businesses seeking to capitalize on the still-evolving technology. Register for the Enterprise Strategy Group’s upcoming GenAI Summit​ to engage with thought leaders as they navigate the intricate dilemmas, evolving regulatory landscape, and responsible AI practices that maximize the benefits of GenAI technology and mitigate inherent risks and biases.​
  • Ransomware attacks show no signs of slowing down. This year marked a record-breaking year for ransomware attacks, as they surged 74% by the first three months of 2023. Organizations require not only a solid prevention plan, but they need established recovery solutions to ensure they bounce back from attacks that can cause irreparable economic and reputational damage. The newer and more treacherous modern threat landscape forces organizations to take a second look at cyber insurance and the security it can ensure against fallout from an attack. Join the upcoming Ransomware Preparedness: Strategies for a Secure Future summit to hear leading experts discuss actionable strategies to prevent ransomware attacks, mitigate damage, and select the best cyber insurance option for your organization.

Top Stories

  • Use cases show that on-package accelerators benefit HPC/AI workloads from computation to data movement and security
    January 16, 2024
    by Rob Farber
    Customer success stories illuminate how hardware accelerators speed up necessary infrastructure to support all aspects of an accelerated AI and HPC computing data center. The real-world impact of accelerated AI technology extends far beyond any single data center or workload. While undeniably important, AI technology is but one of several software components that now comprise what experts term the 5th epoch of distributed computing.
  • Why and How I Created my Own LLM from Scratch
    January 13, 2024
    by Vincent Granville
    Without using any API or any Python library, yet delivering better results. You would think this is a massive undertaking. However, it took me less time than exploring and mastering all the tools and platforms out there. Of course, it is better for my personal needs and for many other professionals with similar interests, but not for everyone. 
  • What does brain science say: Are LLMs intelligent or sentient?
    January 11, 2024
    by David Stephen
    The intense research and development into solving LLMs’ hallucination-confabulation is an indication that pieces of it would continue to be peeled away, with not just benefit against the problem, but with improvements to LLMs, in general. These may bring LLMs within touching distance of some aspects of human intelligence, and say sentience. Then debates would fester about the models not being intelligent, sentient or anything like humans.


  • Graph databases: Unveiling the hidden connections in unstructured data
    January 16, 2024
    by Ovais Naseem
    Traditional relational databases struggle with unstructured data – the text, images, videos, and social media feeds that flood our modern world. But graph databases, with their unique structure, offer a powerful tool for taming this chaos and extracting valuable insights. Here’s how they bring a game-changing perspective to unstructured data analytics.
  • 7 ways CPGs can win in 2024 with Generative AI
    January 16, 2024
    by Tredence Analytics
    The hype of Generative AI is evident, and new applications and opportunities are discovered every day. In 2024, businesses that can experiment with AI and embed it into their processes will set the road towards new, exciting possibilities.
  • The integral role of data science in navigating deepfakes
    January 11, 2024
    by Erika Balla
    The emergence of deepfakes has presented both fascinating opportunities and formidable challenges in the digitally evolving landscape. Deepfakes, a portmanteau of “deep learning” and “fake,” are hyper-realistic digital forgeries created using sophisticated artificial intelligence (AI) algorithms.
  • DSC Weekly 9 January 2024
    January 9, 2024
    by Scott Thompson
    Read more of the top articles from the Data Science Central community.