TLDRs; Ex-OpenAI CTO Mira Murati’s startup tackles AI output randomness for enterprise reliability. Thinking Machines Lab raises $2 billion, attracting top-tier investors and elite AI talent. Research on GPU orchestration aims to make AI responses reproducible and predictable. Startup plans open research series, challenging the trend of closed AI development. Former OpenAI CTO Mira Murati [...] The post Ex-OpenAI CTO’s Startup Targets AI Consistency Challenges appeared first on Parameter.| Parameter
On this episode of The Six Five Pod, hosts Patrick Moorhead and Daniel Newman discuss the recent Federal Reserve comments, Nvidia's impressive Q2 earnings, and Dell's strong AI server performance. The hosts debate whether enterprise AI is a bubble or the start of something big, offering insights on market valuations and growth projections. They also analyze earnings from Pure Storage, Marvell, and HP, highlighting the impact of AI on various tech sectors. Throughout the episode, Patrick and D...| Moor Insights & Strategy
The post If AI Is So Hot, Why Is Palantir Soaring While C3.ai Is Stumbling? appeared first on Futurum. Nick Patience, VP & AI Platforms Practice Lead at Futurum, shares insights on the Palantir vs. C3.ai divergence. While both offer AI platforms, Palantir's booming stock and financials contrast sharply with C3.ai's recent stock collapse and revenue miss, revealing crucial differences in go-to-market strategy. The post If AI Is So Hot, Why Is Palantir Soaring While C3.ai Is Stumbling? appeared...| Futurum
A new report from MIT estimates 95% of AI projects will fail. That’s staggering. Corporate GenAI pilots are failing to deliver significant revenue growth or measurable impact. The primary issues are not the quality of AI models, but a “learning gap” and flawed enterprise integration. Recent findings from the SAS [...] Dodge the collision of lofty AI vision and failed integration was published on SAS Voices by Manisha Khanna| SAS Voices
EmbeddingGemma is Google’s new open text embedding model optimized for on-device AI, designed to balance efficiency with state-of-the-art retrieval performance. How compact is EmbeddingGemma compared to other models? At just 308 million parameters, EmbeddingGemma is lightweight enough to run on mobile devices and offline environments. Despite its size, it performs competitively with much larger embedding […] The post Google AI Releases EmbeddingGemma: A 308M Parameter On-Device Embedding ...| MarkTechPost
AI is changing the go-to-market game, and it’s rewriting the rules of CRM. What once required hours of manual effort and human decision-making is now handled by intelligent agents that learn, adapt, and act in real time. The result? CRM is becoming faster, smarter, and more valuable than ever before. Did you know almost half […] The post Unlocking CRM value with AI: The 4E Framework appeared first on Simplus.| Simplus
Many enterprise teams are asking the same question: where does Agentic RAG actually make sense, and why use it now? By combining retrieval-augmented generation with autonomous agents that can reason, plan, and take action, Agentic RAG is helping organizations tackle problems that go beyond simple automation, from handling complex workflows to making decisions based on […] The post 8 Powerful Use Cases of Agentic RAG Transforming Enterprises appeared first on Softude.| Softude
smartR AI, winners of Best AI Implementation at the 2025 Information Technology Awards, are leading the way with what practical, secure AI can achieve in business. We spoke with Founder and CEO Oliver King-Smith about the vision behind SCOTi, the challenges of earning trust in AI, and what’s next for their assistive intelligence platform.| Business Awards UK
On June 23, 2025, at the Knowledge Summit Dublin, Lulit Tesfaye and Jess DeMay presented “The Evolution of Knowledge Management (KM) & Organizational Roles: Integrating KM, Data Management, and Enterprise AI through a Semantic Layer.” The session examined how KM … Continue reading The post The Evolution of Knowledge Management & Organizational Roles: Integrating KM, Data Management, and Enterprise AI through a Semantic Layer appeared first on Enterprise Knowledge.| Enterprise Knowledge
The search giant is rolling out six specialized AI agents that can build pipelines, write code, and answer business questions in plain English| Maginative
Learn what Lakehouse AI is, its key features, benefits, and real-world use cases to streamline data and accelerate AI model deployment.| HatchWorks AI
Discover critical lessons from an AI expert on building truly AI-first products. This post challenges conventional approaches, emphasizing user workflow integration, headless AI architecture, invis…| LBZ Advisory
There are practical use cases for on-premises AI versus using AI in the public cloud, particularly in situations that require enhanced security, data control, and regulatory compliance. By examining these specific examples, IT professionals can gain a deeper understanding of…Read more ›| StorageSwiss.com – The Home of Storage Switzerland
Discover how secure and responsible AI adoption drives measurable business value. This guide explores key business impact areas of enterprise AI, helps executives understand the GenAI advantage.| Securiti
AI model developer startup Cohere raises $500M at $5.5B valuation - SiliconANGLE| SiliconANGLE