The network infrastructure is experiencing a rapid reshaping with the explosion of multi-cloud, edge computing, and AI. A more complicated IT ecosystem calls for a more sophisticated system of tools and software to support the volume of data and applications housed within it. With organizations moving into a new era of connectivity, they must have the proper bandwidth to not hamper productivity and the ability to embrace digital transformation. Attend the Redefining Network Infrastructure Strategies Virtual Summit to hear leading experts discuss the major trends influencing network infrastructure and the approaches organizations can take to ensure networks run smoothly and efficiently even with vast amounts of data and applications.
As cloud use continues to expand, proper management, monitoring and security is critical to ensure organizations are gaining the most benefit. Organizations navigating digital transformation initiatives know the cloud is a major playing ground for emerging technologies related to cloud migration, cloud security and containerization. Tune into the Managing Hybrid and Multi Cloud Environments Summit to hear leading experts in the field discuss the latest strategies for monitoring complex cloud environments, preventing cyber attacks and security breaches via the cloud, and how to integrate the latest technology trends into cloud usage.
Top Stories
Texas Jumps the Gun on AI May 20, 2024 by Dan Wilson The recent implementation of artificial intelligence by the Texas Education Agency (TEA) to grade the State of Texas Assessments of Academic Readiness (STAAR) tests has sparked significant debate. For show #7 of the AI Think Tank podcast, I had the pleasure of discussing this topic with Caleb Stevens, an infrastructure engineer, founder of Personality Labs, and fellow MIT cohort of mine.
Becoming an AI Utility Function Exercise – Part 1 May 19, 2024 by Bill Schmarzo The media (and movies) have made AI conversations confusing and too emotional. I propose a simple exercise for middle and high school students (and others who might be interested) to provide hands-on training to understand how an AI model works.
Deepfakes and LLMs: Free will neural network for AI safety research May 17, 2024 by David Stephen Currently, there is nothing any AI system can do, that it is prompted to do, that it would not do, pre-guardrail or post-guardrail. This is a major problem for a dynamic host of a substantial amount of collective human intelligence. Organisms can do numerous things that they do not do.
In-Depth
New Book: State of the Art in GenAI & LLMs — Creative Projects, with Solutions May 20, 2024 by Vincent Granville With 23 top projects, 96 subprojects, and 6000 lines of Python code, this vendor-neutral coursebook is a goldmine for any analytic professional or AI/ML engineer interested in developing superior GenAI or LLM enterprise apps using ground-breaking technology, in little time.
The role of sentiment analysis in cybersecurity May 20, 2024 by Zachary Amos Traditional cybersecurity tools like antivirus software and firewalls have always provided a robust foundation for digital security. However, as cyberthreats change, experts must look elsewhere for stronger security outcomes. Sentiment analysis is one method cybersecurity professionals have started integrating with existing protocols.
How AI-enhanced data management enables more precise workflows May 17, 2024 by Ovais Naseem By 2025, the world will generate 181 zettabytes of data (that’s like streaming Netflix continuously for 36 million years!) This data boom isn’t confined to business sectors—it permeates every facet of our lives. From healthcare and banking to financial services, businesses are bombarded with data yet unaware of how to extract consumer insights, manage data, and make informed decisions.
5 biggest cybersecurity risks in edge computing May 17, 2024 by Zachary Amos Edge computing is quickly gaining popularity because it enables low-latency, high-efficiency, real-time operations by moving storage and processing to the network’s boundary. If you are like many people, going from a centralized data center to a solution like this is promising.
How to develop an AI-enabled SaaS product May 16, 2024 by Aria Barnes Cloud computing has promoted the rise of Software as a Service (SaaS) in the world of business. Software as a Service (SaaS) has become the preferred choice for enterprises of all sizes. SaaS applications provide numerous advantages over traditional software, including affordability, scalability, and ease of use.
DSC Weekly 14 May 2024 May 14, 2024 by Scott Thompson Read more of the top articles from the Data Science Central community.
