The current threat landscape is vast, forcing companies to detect and respond to increasingly sophisticated attacks that cause significant damage. With the proliferation of artificial intelligence (AI) and machine learning, experts are concerned threat actors will weaponize evolving technology for devastating attacks on businesses across the world. The supply chain remains a vulnerable target for attack due to the volume of information being transferred and the third parties involved. Cyber warfare is projected to threaten even more organizations, with nation state attacks making up a growing portion of threats. With all these risks circulated in cyber space, how can companies implement a solid detection and response program that keeps up? Register for the free Enabling Effective Threat Detection and Response summit to learn expert detection and response strategies to safeguard your enterprise from cyber threats.
In a world where data is both the lifeblood and a potential liability, staying ahead of data protection trends is vital. The exponential growth of data breaches and cyberattacks, coupled with ever-evolving regulations, demands a proactive data protection strategy. Join the upcoming Data Protection Strategies and Trends summit to discover how to safeguard sensitive information, comply with changing laws, and embrace emerging technologies while building trust with customers. Join us to explore encryption, compliance, transparency, and much more to help navigate the new of era data protection.
Top Stories
Hands-on data science where ESG matters most July 2, 2024 by Alan Morrison An interview with Nipa Basu, Global and North American Practice Director, Digital Intelligence, GHD Digital Nipa Basu, PhD Dr. Basu leads the Digital Intelligence practice at GHD Digital. Founded in Australia with a headquarters in Irvine, California, GHD is a 94-year old, 10,000 person global environmental, design and construction engineering firm.
Becoming a Hybrid AI Developer/Scientist July 1, 2024 by Vincent Granville One of the most popular discussion topics these days is AI developer vs AI scientist. Rather than switching from one to the other, I offer simple advice to complement your current skillset to be more polyvalent. For the developer who wants to become a scientist, there a few trade secrets you can easily learn so that your team does not need to hire a data scientist and can rely on you instead.
GenAI Maturity: From Productivity To Effectiveness June 29, 2024 by Bill Schmarzo As I work with more organizations using Generative AI (GenAI) tools like OpenAI’s ChatGPT and Microsoft’s Copilot, I see an interesting dilemma – many organizations seem satisfied with settling for productivity improvements and “taking costs out of the operations” (reminds me as to why companies went to the cloud).
In-Depth
Generative AI alignment: A fundamental science of mind for LLMs July 1, 2024 by David Stephen Conceptually, the human mind has more than two principal phases: electrical signals [ions], chemical signals [molecules] and a third phase occurring at the interaction of the other two. This third phase, as a standout mix, only possible in sets of signals, is postulated to be a separate classical state of matter.
Predictive failure analytics in critical automotive applications: Enhancing reliability and safety through advanced AI techniques July 1, 2024 by John Lee Modern safety-critical applications like cars require failure prediction and reliability assessment. As vehicles become more complex, design reliability is often underestimated. Vehicle system reliability must be prioritized to prevent accidents. ASIL is a reliability objective for vehicle electrical/electronic systems in ISO 26262. ASIL levels are based on hourly failure probability.
What’s behind the data quality struggle in enterprises? July 1, 2024 by Alan Morrison In March 2024, dbt Labs, a freemium platform and tools provider focused on helping organizations with their data transformation efforts, completed its State of Analytics Engineering survey of 456 data practitioners and leaders.
How knowledge graphs + LLMs enable AI efficiency and trust June 28, 2024 by Alan Morrison Data governance expert Malcolm Chisholm asked a rhetorical question on LInkedin in June 2024: “Is the Cloud the biggest mistake in the history of IT?” For some, he says, it is. “The execs in these companies are in shock at the invoices they are seeing from their cloud providers.”
DSC Weekly 25 June 2024 June 25, 2024 by Scott Thompson Read more of the top articles from the Data Science Central community.
