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DSC Weekly 14 November 2023


  • Companies face growing obstacles connecting their employees with so many workers now based in multiple locations. The right collaboration solutions are essential to ensure the workforce is engaged and productive. New features enhance the existing options on the market, but buyers must approach their collaboration strategy attuned to what they need in a UCaaS or CPaaS platform. Tune into the Unified Comms for the Future Workforce summit to learn more about the array of emerging collaboration applications on the market to better connect your workforce. 
  • The data security landscape is shifting as organizations embrace SaaS-based applications, public cloud services, data analytics platforms, and AI/ML workloads. Unfortunately, such progress has been met by a resurgence of ransomware attacks and a record-breaking number of data breach disclosures. In light of these revelations, new consumer privacy protection acts have imposed heavier financial penalties, leading to changes in the cybersecurity insurance marketplace and how organizations measure potential risk. Register for the free Data Security Risks and Challenges summit to learn about the latest changes in data security and explore new technologies designed to protect data and customers.

Top Stories

  • New Book: Statistical Optimization for GenAI and Machine Learning
    November 14, 2023
    by Vincent Granville
    In the last two years, I published 5 machine learning and AI books, including one on synthetic data by Elsevier. This represents over 800 pages of compact, state-of-the-art material. The new addition features my most recent advances: the problems that I encountered with generative adversarial networks, and how I overcome them with new techniques.
  • The Danger of Untethered Use Cases
    November 11, 2023
    by Bill Schmarzo
    Client: “We’ve identified over 60 use cases!” Schmarzo: “You might as well have zero…” I always get very concerned when I see organizations that jump right into the use case inventory process without first considering the organization’s key business initiatives. Every organization has a laundry list of use cases. 
  • Machine learning in marketing: 10 use cases and implementation tips
    November 14, 2023
    by Evan Rogen
    Given how quickly the digital marketing industry changes, keeping up with the most recent trends and technologies can be challenging. Traditional marketing techniques are no longer enough to connect with and engage your target audience. Machine learning in marketing has got your back. 


  • Beyond the numbers: The soft skills that elevate data analysts to the next level
    November 14, 2023
    Aileen Scott
    Data analysts must have a strong grasp of practical data visualization skills to paint a clear picture of complex data for a broader audience. Seeing the big picture by delivering coherent and easily comprehensible content is crucial.
  • Difference between modern and traditional data quality
    November 14, 2023
    by Edwin Walker
    Modern data quality practices leverage advanced technologies, automation, and machine learning to handle diverse data sources, ensure real-time processing, and foster collaboration across stakeholders. They prioritize data governance, continuous monitoring, and proactive management to ensure accurate, reliable, and fit-for-purpose data for informed decision-making and business success.
  • Future-proofing advanced data warehouses
    November 13, 2023
    by Ovais Naseem
    Data warehouses are the linchpins of modern data infrastructure, integral for businesses that rely on informed decision-making. They act as centralized repositories where diverse data from various sources is collated, transformed, and stored for analysis and reporting.
  • Mastering data management: Efficient strategies for success
    November 10, 2023
    by Ovais Naseem
    Effective data management is critical to any organization’s success in today’s data-driven world. With the exponential growth of data, businesses need to implement robust strategies to collect, store, process, and utilize data efficiently.
  • DSC Weekly 7 November 2023
    November 7, 2023
    by Scott Thompson
    Read more of the top articles from the Data Science Central community.
  • Artificial Intelligence: Making waves in the stock market
    November 7, 2023
    by Matthew McMullen
    Stock trading is an industry that has greatly benefited from artificial intelligence (AI). AI algorithms in stock trading have enabled traders to make better decisions and enhance their trading strategies leading to increased profits and reduced risks.