In this special guest feature, Brendan Newlon, Solutions Architect at Stardog, indicates that for an increasing number of organizations, a semantic data layer powered by an enterprise knowledge graph provides the solution that enables them to connect relevant data elements in their true context and provide greater meaning to their data.
Enabling Federated Querying & Analytics While Accelerating Machine Learning Projects
Video Highlights: Why Does Observability Matter?
Why does observability matter? Isn’t observability just a fancier word for monitoring? Observability has become a buzz word in the big data space. It’s thrown around so often, it can be easy to forget what it even really means. In this video presentation, our friends over at Pepperdata provide some important insights into this this technology that’s growing in popularity.
CIOs Say Data Management is Critical for Successful AI Adoption in New Global Research Report
A new survey report by MIT Technology Review Insights highlights AI and data management as essential pillars to enterprise success, but found that the majority of survey respondents cited data mismanagement as a critical factor that could jeopardize their company’s future AI success. The report, “CIO vision 2025: Bridging the gap between BI and AI,” was conducted in May and June 2022 in association with Databricks, pioneer of the lakehouse architecture.
Cerebras Wafer-Scale Cluster Brings Push-Button Ease and Linear Performance Scaling to Large Language Models
Cerebras Systems, a pioneer in accelerating artificial intelligence (AI) compute, unveiled the Cerebras Wafer-Scale Cluster, delivering near-perfect linear scaling across hundreds of millions of AI-optimized compute cores while avoiding the pain of the distributed compute. With a Wafer-Scale Cluster, users can distribute even the largest language models from a Jupyter notebook running on a laptop with just a few keystrokes. This replaces months of painstaking work with clusters of graphics processing units (GPU).
NVIDIA Launches Large Language Model Cloud Services
NVIDIA today announced two new large language model cloud AI services — the NVIDIA NeMo Large Language Model Service and the NVIDIA BioNeMo LLM Service — that enable developers to easily adapt LLMs and deploy customized AI applications for content generation, text summarization, chatbots, code development, as well as protein structure and biomolecular property predictions, and more.
NVIDIA Hopper in Full Production
NVIDIA today announced that the NVIDIA H100 Tensor Core GPU is in full production, with global tech partners planning in October to roll out the first wave of products and services based on the groundbreaking NVIDIA Hopper™ architecture.
Data Quality and Data Access are Becoming More Critical
In this special guest feature, Christian Lutz, Co-founder and President, Crate.io, believes that if you are thorough in considering your data generation and access needs, you will be in a better position to choose the right database that produces the right quality of data and the efficient access to insights that help drive your business forward towards growth.
Zilliz Pioneers Vector Database R&D, Shares New Findings at VLDB 2022
The latest research on vector databases from Zilliz, a leading vector database company and the inventor of Milvus, was featured at the 48th International Conference on Very Large Databases (VLDB 2022). The paper, titled “Manu: A Cloud Native Vector Database Management System,” explains Manu, the project name for Milvus 2.0, as a cloud-native, next-generation vector database that implements long-term evolvability, tunable consistency, good elasticity, and high performance.
Verta Insights Study Reveals that Fewer than Half of Companies Are Ready to Scale Real-time AI Within Three Years
Verta Inc., a leading provider of enterprise model management and operational artificial intelligence (AI) solutions, released findings from the 2022 State of Machine Learning Operations study, which surveyed more than 200 machine learning (ML) practitioners about their use of AI and ML models to drive business success. The study was conducted by Verta Insights, the research practice of Verta Inc., and found that although companies across industries are poised to significantly increase their use of real-time AI within the next three years, fewer than half have actually adopted the tools needed to manage the anticipated expansion.
Are You Ready to Commit to the Cloud? 5 Things to Consider Before Taking the Plunge
In this contributed article, Kiran Bhageshpur, CTO, Qumulo, offers 5 important points of consideration when determining whether it’s time to commit to the cloud. Entering into a new technology partnership can be daunting. We ask ourselves: Am I ready for this commitment? Will this help my enterprise grow into the organization it dreams to be? Starting something new challenges us to both self-reflect and look into the future to examine our ultimate goals and needs.