Announcements
- Generative AI signifies a pivotal shift in today’s technological landscape. It promises profound insights, streamlined operations, and assistance with data-driven decisions on an unprecedented scale. However, GenAI also brings forth ethical and regulatory considerations that require attention for modern businesses seeking to capitalize on the still-evolving technology. Register for the Enterprise Strategy Group’s upcoming GenAI Summit to engage with thought leaders as they navigate the intricate dilemmas, evolving regulatory landscape, and responsible AI practices that maximize the benefits of GenAI technology and mitigate inherent risks and biases.
- 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
- Use cases show that on-package accelerators benefit HPC/AI workloads from computation to data movement and security
January 16, 2024
by Rob Farber
Customer success stories illuminate how hardware accelerators speed up necessary infrastructure to support all aspects of an accelerated AI and HPC computing data center. The real-world impact of accelerated AI technology extends far beyond any single data center or workload. While undeniably important, AI technology is but one of several software components that now comprise what experts term the 5th epoch of distributed computing. - Why and How I Created my Own LLM from Scratch
January 13, 2024
by Vincent Granville
Without using any API or any Python library, yet delivering better results. You would think this is a massive undertaking. However, it took me less time than exploring and mastering all the tools and platforms out there. Of course, it is better for my personal needs and for many other professionals with similar interests, but not for everyone. - What does brain science say: Are LLMs intelligent or sentient?
January 11, 2024
by David Stephen
The intense research and development into solving LLMs’ hallucination-confabulation is an indication that pieces of it would continue to be peeled away, with not just benefit against the problem, but with improvements to LLMs, in general. These may bring LLMs within touching distance of some aspects of human intelligence, and say sentience. Then debates would fester about the models not being intelligent, sentient or anything like humans.
In-Depth
- Graph databases: Unveiling the hidden connections in unstructured data
January 16, 2024
by Ovais Naseem
Traditional relational databases struggle with unstructured data – the text, images, videos, and social media feeds that flood our modern world. But graph databases, with their unique structure, offer a powerful tool for taming this chaos and extracting valuable insights. Here’s how they bring a game-changing perspective to unstructured data analytics. - 7 ways CPGs can win in 2024 with Generative AI
January 16, 2024
by Tredence Analytics
The hype of Generative AI is evident, and new applications and opportunities are discovered every day. In 2024, businesses that can experiment with AI and embed it into their processes will set the road towards new, exciting possibilities. - The integral role of data science in navigating deepfakes
January 11, 2024
by Erika Balla
The emergence of deepfakes has presented both fascinating opportunities and formidable challenges in the digitally evolving landscape. Deepfakes, a portmanteau of “deep learning” and “fake,” are hyper-realistic digital forgeries created using sophisticated artificial intelligence (AI) algorithms. - DSC Weekly 9 January 2024
January 9, 2024
by Scott Thompson
Read more of the top articles from the Data Science Central community.
