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DSC Weekly 21 November 2023


  • 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.
  • 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

  • Schmarzo and the Value·Nauts: The Journey from Data to Value
    November 18, 2023
    by Bill Schmarzo
    The journey from data and AI to value does not start with data or AI. Data and analytics are the new sources of value creation and competitive advantage in today’s economy.
  • Why generative AI safety research is beyond alignment
    November 21, 2023
    by David Stephen
    A way to counter AI risks could be to create AI risks. The question is by who, a non-profit, a corporation, a nation, or a treaty? It may take extremes in systems, across tasks, to find out the depths of threats.
  • Can AI or GPT-4 Answer my $1m Question?
    November 17, 2023
    by Vincent Granville
    Imagine if GPT-4 could tell traders how to play on the stock market. For instance, using insider information gathered on the Internet, it could produce winning buy and sell signals, with target prices, for various stocks. Then, anyone could use simple English, or even an API to get the right predictions and trade automatically.


  • Key features to consider in data extraction tools
    November 20, 2023
    by Ovais Naseem
    In the fast-paced, ever-evolving world of modern business, harnessing the power of data has become a game-changer, driving informed decisions and establishing a competitive advantage. The Data integration tools play a pivotal role in amalgamating data from diverse sources and populating it into centralized storage.
  • From Confusion to Clarity: How AI Simplifies Data Management for Enterprises
    November 20, 2023
    by Pritesh Patel
    The evolution of data management has kept pace with the rapid increase in data generation, and after beginning with straightforward relational databases and ETL, big data and unstructured data paved the way for the development of automated data pipelines and lakes. 
  • Should you recalibrate your AI roadmap post changes in OpenAI ?
    November 20, 2023
    by ajitjaokar
    Last night’s changes in AI have been seismic post the shock resignation of Sam Altman It is still early days and these changes will be played out Undoubtedly, this change will impact AI roadmaps worldwide So, how should you re-calibrate your AI road map post Sam Altman leaving OpenAI? Has anything really changed?
  • DSC Weekly 14 November 2023
    November 14, 2023
    by Scott Thompson
    Read more of the top articles from the Data Science Central community.
  • Beyond the numbers: The soft skills that elevate data analysts to the next level 
    November 14, 2023
    by 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.