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
Nine Categories of Innovation-Driven Prompt Engineering July 4, 2024 by Bill Schmarzo In my previous blog, “GenAI Maturity: From Productivity To Effectiveness,” I discussed the dramatic disparities between the organizational mindset of using Generative AI (GenAI) to reduce costs (with a Productivity-centric mindset) and the organizational mindset of exploiting GenAI to stimulate creativity (with an Innovation-centric mindset).
Boosting innovation initiatives with knowledge graphs July 4, 2024 by Alan Morrison One of the common dilemmas in a typical large enterprise is that multiple groups from different geographies and business units are often spending innovation budget to solve similar problems. The left hand typically doesn’t know what the right hand is doing.
More Math Hallucinations with OpenAI, worse with Gemini July 3, 2024 by Vincent Granville This is not just another rant about OpenAI. I actually have something very positive to say, even if in the end, the answer to my prompt was wrong. It started with the following question: What is the length of the period of 1/10! in base 2 (the binary system)?
In-Depth
How a data analyst career can be stressful July 9, 2024 by Aileen Scott Today businesses increasingly rely on data-driven insights for strategic decisions, making data analysts hold the critical responsibility of scrutinizing and interpreting complex data sets to uncover valuable patterns, trends, and insights. Simply put, there has never been a better time to be a data analyst.
Why the newest LLMs use a MoE (Mixture of Experts) architecture July 8, 2024 by Kevin Vu A hospital is overcrowded with experts and doctors each with their own specializations, solving unique problems. Surgeons, cardiologists, pediatricians—experts of all kinds join hands to provide care, often collaborating to get the patients the care they need. We can do the same with AI.
How data governance contributes to a data-driven culture July 8, 2024 by Ovais Naseem Building a data-driven culture is all about leveraging data to make decisions and solve problems. In such organizations, people rely on data to guide their actions. They don’t just guess or go with their gut feelings—they look at the numbers and facts to figure out the best way forward.
Exploring foundational machine learning algorithms: Linear regression, decision trees, and K-nearest neighbors July 5, 2024 by John Lee Machine learning algorithms power predictive modeling and data analysis. Linear regression, decision trees, and k-nearest neighbors enable limitless possibilities. This article explores their principles and applications, inspiring machine learning creativity. Exploring Linear Regression Understanding the basics The best line for a set of data points is the goal of linear regression.
DSC Weekly 2 July 2024 July 2, 2024 by Scott Thompson Read more of the top articles from the Data Science Central community.
The latest approaches in artificial intelligence will be the main force for the development and simplification of technological processes. Already, leading innovations in artificial intelligence, AR, IoT, quantum computing, GreenTech and Deep Tech are simplifying the development of digital business models and helping to optimise workflows. This is the near future of most industries, including logistics. Today, the latest ideas of artificial intelligence make it possible to accurately calculate the cost of delivery, create a wide range of different features that simplify work planning, control the level of security and take into account possible risks.
The latest approaches in artificial intelligence will be the main force for the development and simplification of technological processes. Already, leading innovations in artificial intelligence, AR, IoT, quantum computing, GreenTech and Deep Tech are simplifying the development of digital business models and helping to optimise workflows. This is the near future of most industries, including logistics. Today, the latest ideas of artificial intelligence make it possible to accurately calculate the cost of delivery, create a wide range of different features that simplify work planning, control the level of security and take into account possible risks.