Databricks integrates MemAlign into MLflow, enhancing large language model evaluation by reducing costs and latency for enterprises.
Leading experts confirm AI system capabilities are rapidly advancing, but current safety testing and risk management protocols are failing to keep pace.
GitHub explores new measures, including granular permissions and enhanced filtering, to manage a surge in low-quality, AI-generated pull requests impacting open-source projects.
Snowflake introduces Cortex Code, an AI coding agent designed to streamline data and app development by understanding enterprise data context and governance.
Physical AI is transforming manufacturing, moving intelligence to the edge to enable adaptive autonomy and overcome latency challenges in industrial operations.
Forward Networks introduces an agentic AI system, moving beyond conversational interfaces to execute complex, multi-step network workflows.
Google introduces Conversational Analytics and custom agent tools to BigQuery, empowering users to interact with data using natural language and streamlining AI-driven data analysis.
Teradata unveils its comprehensive Enterprise AgentStack, a new toolkit designed to assist organizations in deploying AI agents from pilot stages to production.
Anthropic's Claude chatbot now features interactive app capabilities, allowing users to directly access applications within its interface, boosting enterprise AI workflows.
Discover how a semantic core can unify an organization's knowledge, ensuring consistent AI outputs and robust data governance in complex enterprise environments.
Organizations must adopt a zero-trust approach to data governance to protect AI models from unverified, AI-generated content, mitigating risks of model collapse and ensuring data integrity.
The enterprise WAN market is experiencing a significant transformation, consolidating around distributed cloud networking to address the complexities of AI workloads and hybrid cloud deployments.
New Relic introduces advanced monitoring for ChatGPT-embedded applications, offering enterprises unparalleled visibility into performance and user experience.
Enterprises must adapt their architectural foundations to harness the transformative power of agentic AI, moving beyond traditional gen AI tools.
SoftBank introduces Infrinia AI Cloud OS, a robust software stack designed to automate AI data center operations and provide large language model inference services.
OpenAI commits to funding new power generation for its Stargate data centers, signaling a critical shift in how electricity influences large-scale AI infrastructure planning.
Enterprises can optimize large language models for efficiency, reliability, and accuracy using model distillation, reducing costs and improving performance.
The global edge AI market is projected to reach $143 billion by 2034, driven by the critical need for real-time data processing.
Explore how artificial intelligence is reshaping the music industry, from production to consumption, and the critical role of data in navigating this evolution.
Google introduces a new AI feature in BigQuery to generate SQL queries from natural language comments, accelerating data analysis and simplifying complex queries.
MongoDB has released the source code for mongot, the engine behind MongoDB Search and Vector Search, under the Server Side Public License.
OpenAI secures a multibillion-dollar deal with Cerebras Systems to expand its AI computing capacity for inference workloads, enhancing scalability and efficiency.
Leading AI coding platforms consistently produce insecure code, including critical vulnerabilities, according to new research highlighting the need for enhanced oversight.
Google's Gemini AI assistant now proactively uses personal data from Gmail, Photos, Search, and YouTube for enhanced user experience.
Advanced AI coding agents are poised to fundamentally transform software development, moving the primary bottleneck from code writing to more precise requirements and strategic decision-making.
Meta has elevated AI infrastructure to a top-level strategic priority with the launch of Meta Compute, a new initiative that brings responsibility for building and operating data centers and networks under a single leadership structure.
Discover why relying on a single AI platform leads to limitations and how a specialized multi-tool approach enhances research, writing, and operational efficiency.
Exploring the distinct challenges and innovative solutions for integrating artificial intelligence into essential industrial systems, prioritizing reliability and safety.
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