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
Data-driven, AI-powered supply chain part 3: Imagining the Future – Supply chain 5.0 November 28, 2023 by Krishna Pera The immediate and pressing need for ‘digitizing’ your supply-chain One may conclude: ‘Digitizing’ the supply-chain has become a survival necessity for companies to stay competitive. Apart from a substantial jump in the efficiency-effectiveness, the customer-experience, and upside to revenues, companies can expect a huge-huge cost-saving.
Trusted, automated data sharing across spreadsheets and other documents November 28, 2023 by Alan Morrison Earlier in the fall, Charles Hoffman joined our non-profit Dataworthy Collective (DC) that focuses on best practices in trusted knowledge graph development. Hoffman is a CPA, consultant and former PwC auditor who works with clients who use the Extensible Business Reporting Language (XBRL).
Generative AI: Precursor to Autonomous Analytics November 25, 2023 by Bill Schmarzo We are living in a time of unprecedented change and innovation. Generative AI (GenAI) has created new horizons for us to explore the possibilities of AI in creating novel and diverse content. But the real revolution lies in the next step of the journey – autonomous analytics, an emerging category of analytics that can learn, adapt, and act with minimal human intervention as they interact with their environment.
Maximizing business value with ETL for Big Data November 28, 2023 by Ovais Naseem In today’s digital era, big data has emerged as a pivotal asset for organizations across various industries. The vast volumes of data generated every moment offer unparalleled insights into customer behaviors, market trends, and operational efficiencies.
Here’s How Much Data Gets Used By Generative AI Tools For Each Request November 28, 2023 by Erika Balla While the world is going wild over the potential benefits of generative AI, there’s little attention paid to the data deployed to build and operate these tools. Let’s look at a few examples to explore what’s involved in determining data use, and why this matters for end users as well as operators.
The role of generative AI in shaping the e-commerce landscape November 28, 2023 by Pritesh Patel Generative AI is rapidly altering the landscape for e-commerce professionals with applications ranging from effective supply chain management to tailored client experiences. The application of generative AI has transformed e-commerce and offered cutting-edge fixes to improve almost all facets of online enterprises.
DSC Weekly 21 November 2023 November 21, 2023 by Scott Thompson Read more of the top articles from the Data Science Central community.
