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DSC Weekly 15 October 2024

  • Scott Thompson 

Announcements

  • From telehealth to remote patient monitoring to digital therapeutics, healthcare stakeholders increasingly deliver healthcare services via digital technologies. At the upcoming Connected Health event, attendees will glean insights into the real-world evidence and novel use cases for connected healthcare tools, alongside the hurdles to digital health adoption and use. Join thought leaders and industry insiders as they delve into the evolution of technologies that connect patients, providers, and payers, as well as innovative strategies to deploy and scale digital health efforts equitably.
  • Companies continue to adjust to the post-COVID workplace as they grapple with remote and hybrid work. To buffer the impact of The Great Resignation, workplaces must invest in talent and recruitment solutions to ensure they are targeting the right people for the right job. Employee engagement technology and other HR tools such as payroll solutions can keep your workforce satisfied and productive, but only with the right strategy to orchestrate them. Tune into the HR Strategies: Future-Proofing Your Workplace summit to hear leading experts in the field cover the latest employee engagement technology trends, payroll innovations and tactics to engage and retain your workface for future success.

Top Stories

  • Closing the gap between open source and closed AI models
    15 October 2024
    by Esther Ajao and Shaun Sutner
    Open source AI models are closing the gap in the debate between open and closed models.Since the introduction of Meta Llama generative AI models in February 2023, more enterprises have started to run their AI applications on open source models.Cloud providers like Google have also noticed this shift and have accommodated enterprises by introducing models from open source vendors such as Mistral AI and Meta. At the same time, proprietary closed source generative AI models from OpenAI, Anthropic and others continue to attract widespread enterprise interest.
  • What’s so modern about the modern data stack?
    October 14, 2024
    by Ernest Tarango
    In today’s data-driven world, efficiently managing and extracting valuable insights from data is paramount to success. The traditional data management approaches have proven insufficient in handling the massive volumes of information generated daily. This is where the modern data stack comes into play, revolutionizing how businesses handle their data. In this comprehensive guide, we will explore the critical components of the modern data stack, highlight its advantages over legacy systems, and shed light on how Intellectyx, a leading data modernization company, is leading the charge in this transformative field.
  • Using Archetypes to Decode The Four Types of AI: Generative, Analytical, Causal, and Autonomous AI
    October 13, 2024
    by Bill Schmarzo
    In my blog titled “Synergy of Generative, Analytical, Causal, and Autonomous AI,” I discussed the four types of Artificial Intelligence (AI) and the importance of understanding when and where to blend these AI variants to create new sources of customer, operational, and societal value.

    In-Depth

    • How can retailers leverage generative AI powered agents to boost customer experience?
      October 15, 2024
      by Pritesh Patel
      Is there anything that Generative AI (GenAI) cannot do? Data synthesis, semantic image-to-text translations, code generation, course design—everything seems just another day in the office for GenAI. But its transformative power is visible in the most obvious, immediate, and significant manner in everyday shopping. 
    • New Book: Building Disruptive AI & LLM Technology from Scratch
      October 15, 2024
      by Vincent Granville
      This book features new advances in game-changing AI and LLM technologies built by GenAItechLab.com. Written in simple English, it is best suited for engineers, developers, data scientists, analysts, consultants and anyone with an analytic background interested in starting a career in AI.
    • How data classification reduces insider threats
      October 11, 2024
      by Zachary Amos
      Safeguarding data is essential in preventing insider threats that can severely damage a business’s reputation and bottom line. Companies can significantly reduce these risks with a suitable data classification strategy that adequately manages and protects sensitive information. What is data classification?
    • Reducing insurance loss ratios with data science and AI algorithms
      October 9, 2024
      by J. Joseph Rusnak
      Insurance plays a pivotal role in providing financial security against unforeseen risks and losses. A critical metric for evaluating the financial performance and health of insurance companies is the loss ratio, which measures the ratio of claims paid out to premiums earned.
    • How to address concept drift in machine learning
      October 9, 2024
      by Zachary Amos
      Because of concept drift in machine learning, models built for forecasting will almost always experience drops in performance and accuracy over time. Can artificial intelligence engineers prevent it from happening? Discover how to address concept drift below. What is concept drift in machine learning?
    • DSC Weekly 8 October 2024
      October 8, 2024
      by Scott Thompson
      Read more of the top articles from the Data Science Central community.

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