Hammerspace Unveils the Fastest File System in the World for Training Enterprise AI Models at Scale

Hammerspace, the company orchestrating the Next Data Cycle, unveiled the high-performance NAS architecture needed to address the requirements of broad-based enterprise AI, machine learning and deep learning (AI/ML/DL) initiatives and the widespread rise of GPU computing both on-premises and in the cloud. This new category of storage architecture – Hyperscale NAS – is built on the tenants required for large language model (LLM) training and provides the speed to efficiently power GPU clusters of any size for GenAI, rendering and enterprise high-performance computing.

Video Highlights: A Code-Specialized LLM Will Realize AGI — with Jason Warner

In this video presentation, our good friend Jon Krohn, Co-Founder and Chief Data Scientist at the machine learning company Nebula, is joined by poolside co-founder and CEO Jason Warner who sheds light on how code-specialized LLMs could vastly outperform generalized counterparts like GPT-4.

Securing GenAI in the Enterprise

Opaque Systems released a new whitepaper titled “Securing GenAI in the Enterprise.” Enterprises are chomping at the bit to use GenAI to their benefit but they are stuck. Data privacy is the number one factor that stalls GenAI initiatives. Concerns about data leaks, malicious use, and ever-changing regulations loom over the exciting world of Generative AI (GenAI), specifically large language models (LLMs).

Microsoft Expands AI Reach with Partnership with French Start-up Mistral

Microsoft has taken another notable step forward in the realm of artificial intelligence by announcing a strategic partnership with Mistral, a French AI start-up based in Paris. This move further exemplifies Microsoft’s commitment to broaden its presence in the rapidly evolving AI industry beyond its existing alliance with OpenAI and at a global scale.

NEW RESEARCH: Growing Database Complexity Will Fuel Significant Skills Gaps in 2024

Increasing complexity, the rapid adoption of emerging technologies and a growing skills gap are the biggest concerns facing IT leaders in 2024, according to The State of the Database Landscape, a major new survey from end-to-end Database DevOps provider Redgate. 

Video Highlights: How to Integrate Generative AI Into Your Business — with Piotr Grudzień

In this video presentation, our good friend Jon Krohn, Co-Founder and Chief Data Scientist at the machine learning company Nebula, is joined by Founder of Quickchat AI Piotr Grudzień who believes the key to any successful AI platform is to ensure it can be tailored to a company’s specific needs.

Veritas Survey Finds Workers are Putting Businesses at Risk by Oversharing with GenAI Tools

Our friends over at Veritas just released a new survey revealing that workers are oversharing with generative AI tools, putting businesses at risk. Nearly a third (31%) of global office workers admitted to inputting potentially sensitive information into generative AI tools, such as customer details or employee financials.

DataStax and LlamaIndex Partner to Make Building RAG Applications Easier than Ever for GenAI Developers

DataStax, the Gen AI data company, today announced its out-of-the-box retrieval augmented generation (RAG) solution, RAGStack, is now generally available powered by LlamaIndex as an open source framework, in addition to LangChain.  DataStax RAGStack for LlamaIndex is also the first partner to support an integration (currently in public preview) with LlamaIndex’s LlamaParse, which gives developers using Astra DB a simple API to efficiently parse and transform complex PDFs into vectors in minutes. 

Lenovo and Anaconda Announce Agreement to Accelerate AI Development and Deployment 

Lenovo™ announced a strategic partnership with Anaconda® Inc., a leading provider of the popular source code for artificial intelligence (AI), machine learning (ML) and data science platform, to empower Lenovo’s high performance data science workstations. The partnership will couple Lenovo’s trusted ThinkStation™ and ThinkPad™ workstation product portfolio heritage and leadership with Anaconda’s enterprise strengths for open-source leadership, security, and reliability. 

Video Highlights: Data Science Trend Predictions — with Sadie St. Lawrence

In this video presentation, our good friend Jon Krohn, Co-Founder and Chief Data Scientist at the machine learning company Nebula, is joined by Sadie St. Lawrence to analyze last year’s predictions and delve into the emerging technologies reshaping the field. They cover a range of topics, including the rise of AI hardware accelerators, the evolution of large language models into operating systems, and the potential impact of generative AI on data analysis roles.