insideAI News caught up with Charles Sansbury, CEO Cloudera, at the company’s EVOLVE24 event on October 10, 2024 in New York City to gain some insights into how Cloudera is embracing machine learning and data science, but also the company’s work environment, and employees. Also discussed was news announced at the event such as the partnership with Snowflake.
NVIDIA Contributes Blackwell Platform Design to Open Hardware Ecosystem, Accelerating AI Infrastructure Innovation
October 15, 2024 by
To drive the development of open, efficient and scalable data center technologies, NVIDIA today announced that it has contributed foundational elements of its NVIDIA Blackwell accelerated computing platform design to the Open Compute Project (OCP) and broadened NVIDIA Spectrum-X™ support for OCP standards.
Relyance AI Raises $32 Million Series B Funding to Safeguard AI Innovation in the Enterprise
October 14, 2024 by
Relyance AI, a leading AI-powered data governance platform that provides complete visibility and control over enterprise-wide data, announced a $32.1 million Series B funding round to scale operations and meet the needs of the exploding use of artificial intelligence in the enterprise.
Precisely Announces Breakthrough in Data Enrichment with New Data Graph API
October 14, 2024 by
Precisely, a leader in data integrity, announced the Data Graph API, a new addition to the Data Enrichment service within the Precisely Data Integrity Suite. For the first time, a single API offers simplified access to the Precisely data portfolio for flexible queries, data enrichment, and enhanced data discovery.
Alation Unveils AI Governance Solution to Power Safe and Reliable AI for Enterprises
October 12, 2024 by
Alation Inc., the data intelligence company, launched its AI Governance solution to help organizations realize value from their data and AI initiatives. The solution ensures that AI models are developed using secure, compliant, and well-documented data. With capabilities such as lineage for AI auditability, AI documentation, data discovery and custom tagging, and data quality flags, organizations can confidently accelerate AI development, mitigate risks, and optimize their AI investments for business impact.
HPE Launches New Purpose-built Solutions – Powered by AMD – to Accelerate Training for Large, Complex AI Models
October 11, 2024 by
Hewlett Packard Enterprise (NYSE: HPE) announced the HPE ProLiant Compute XD685 for complex AI model training tasks, powered by 5th Gen AMD EPYC™ processors and AMD Instinct™ MI325X accelerators. The new HPE system is optimized to quickly deploy high-performing, secure and energy efficient AI clusters for use in large language model training, natural language processing and multi-modal training.
AMD Unveils 5th Gen EPYC, Instinct MI325X & More at Advancing AI 2024
October 10, 2024 by
Today at the Advancing AI event in San Francisco, AMD announced the latest AI and high-performance computing solutions, including the 5th Gen AMD EPYC and AMD Instinct MI325X accelerators and processors, alongside leading customers and partners including Microsoft, OpenAI, Meta, Oracle, Google Cloud and more.
Cloudera Expands Industry-Leading Enterprise AI Ecosystem with New Partners
October 10, 2024 by
Cloudera, a hybrid platform for data, analytics, and AI, today announced the expansion of its Enterprise AI Ecosystem during its annual data and AI conference, EVOLVE24 New York. This initiative brings together a diverse group of industry-leading AI providers to deliver comprehensive, end-to-end AI solutions for customers that help to maximize the value of AI.
AI Hardware & Edge AI Summit Rebrands as AI Infra Summit and Expands Scope to Enterprise AI
October 10, 2024 by
The AI Hardware & Edge AI Summit, a prestigious Silicon Valley tech conference that has long served the semiconductor and IT infrastructure industries, will return in 2025 as the AI Infra Summit.
GenAI – How Enterprises Can Move Beyond Code Generation to Achieve Real Value
October 9, 2024 by
The arrival of GenAI has put immense pressure on software development organizations. According to a new Bain & Company report, “Beyond Code Generation: More Efficient Software Development,” GenAI appears to save about 10-15% of total software engineering time today — but improvements of 30% or more are possible.
