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Datarobot
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DataRobot with NVIDIA: The fastest path to production-ready AI apps and agents
- Organizations face challenges in moving AI projects from development to production, particularly in deploying agentic AI apps.
- DataRobot, along with NVIDIA AI Enterprise, offers a fast solution for developing and delivering agentic AI, reducing risks and complexity.
- The integration allows for custom-tailored AI solutions optimized for business problems.
- A use case example involves real-time warehouse optimization using AI-powered video analysis and predictive forecasting.
- DataRobot and NVIDIA streamline the development of agentic AI apps, solving complexities and roadblocks in deployment.
- NVIDIA AI Blueprints and DataRobot AI Apps provide structured frameworks to jumpstart AI application development.
- RAPIDS and DataRobot's predictive AI capabilities accelerate the process of building and testing models.
- NVIDIA NIM and DataRobot tools optimize RAG workflows for efficient AI development.
- Continuous monitoring, observability, and deployment optimization are crucial for maintaining and scaling agentic AI applications.
- DataRobot with NVIDIA provides hyperscaler-grade ease of use across various deployment options, transforming AI development and deployment.
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Analyticsindiamag
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Apptronik Secures $53M in Extended Series A, Backed by Mercedes-Benz
- Apptronik, an AI-powered humanoid robotics startup, has raised an additional $53 million in its Series A funding round, bringing the total to $403 million.
- New investors in the funding round include Mercedes-Benz, Japan Post Capital, ARK Invest, and others.
- The funding will support the production and deployment of Apptronik's AI-powered humanoid robot, Apollo, in industries such as automotive, electronics manufacturing, and logistics.
- Mercedes-Benz is using Apollo robots in its manufacturing process, and there are plans to expand their deployment to additional sites.
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Nvidia
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Full Steam Ahead: NVIDIA-Certified Program Expands to Enterprise Storage for Faster AI Factory Deployment
- NVIDIA has expanded its NVIDIA-Certified Systems to include enterprise storage certification.
- The new NVIDIA-Certified Storage program validates that enterprise storage systems meet performance and scalability requirements for AI and high-performance computing workloads.
- Leading enterprise data platform and storage providers such as DDN, Dell Technologies, HPE, IBM, NetApp, Nutanix, Pure Storage, VAST Data, and WEKA have already joined the program.
- The expansion of the certification program aims to provide enterprises with trusted storage options for streamlined AI factory deployments.
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Nvidia
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Telecom Leaders Call Up Agentic AI to Improve Network Operations
- Global telecommunications networks face challenges in handling massive, real-time workloads with traditional automation tools.
- NVIDIA partners are developing Large Telco Models (LTMs) and AI agents custom-built for the telecommunications industry.
- LTMs are trained on telco network data to automate decision-making workflows and enhance network performance.
- LTMs understand and predict network events, optimizing efficiency, accuracy, and continuous learning.
- NVIDIA AI Enterprise provides tools and blueprints to simplify network operations, reduce downtime, and enhance security.
- Key industry players like SoftBank, Tech Mahindra, Amdocs, BubbleRAN, and ServiceNow are leveraging LTMs and AI agents for network advancements.
- SoftBank's LTMs automate network reconfiguration for adaptability during events, while Amdocs focuses on fault prediction and resolution.
- Tech Mahindra's Adaptive Network Insights Studio offers a comprehensive view of network issues to streamline operations.
- BubbleRAN develops an autonomous platform for network monitoring and troubleshooting, specifically for 5G deployment.
- ServiceNow's AI agents drive productivity by predicting disruptions and providing resolution playbooks for telecom providers.
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Nvidia
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Enterprises Ignite Big Savings With NVIDIA-Accelerated Apache Spark
- NVIDIA unveils Project Aether to optimize Spark workloads for GPU acceleration at scale.
- Project Aether automates the process of configuring and optimizing Spark jobs for GPU acceleration.
- The Commonwealth Bank of Australia experienced a 640x performance boost by using RAPIDS Accelerator for Apache Spark on GPU-powered infrastructure.
- RAPIDS Accelerator for Apache Spark is available through various global partners and cloud platforms.
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Analyticsindiamag
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General Motors Collaborates with NVIDIA for Next-Gen Vehicles
- General Motors (GM) will collaborate with NVIDIA to use AI for next-generation vehicle experience and manufacturing.
- GM will leverage NVIDIA's accelerated computing platforms for factory planning and robotics, and use NVIDIA DRIVE AGX for advanced driver-assistance systems.
- The partnership aims to create digital twins of assembly lines using NVIDIA Omniverse for virtual testing and production simulations.
- NVIDIA also launched Halos, a comprehensive safety system for Autonomous Vehicles (AVs), ensuring safe AV development from cloud to car.
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VentureBeat
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GPUs go biological: BBB unveils Bionode, lab-grown, living neuron compute for AI applications
- Biological Black Box (BBB) has unveiled Bionode, a computing system integrating living neurons with traditional processors to offer a low-power, adaptive alternative to GPUs for AI applications.
- BBB's technology involves growing new neurons from human stem cells and rat-derived cells to act as computer chips, aiming to reduce energy costs, improve processing efficiency, and accelerate AI model training.
- The company's neural chips are already being used for computer vision and have potential applications in licensing for computer vision apps.
- BBB's Bionode platform utilizes lab-grown neurons wired into computing systems, with models derived from rat cells and human stem cells.
- The hybrid computing system harnesses neurons' adaptability for AI processing, offering advantages in efficiency and accelerated large language model training.
- Biological computing using neurons as processors has shown promise in reducing energy consumption and improving accuracy in AI tasks like computer vision and LLM training.
- BBB sees itself not as a competitor to Nvidia but as a complementary technology that can enhance silicon-based AI models for improved accuracy and efficiency.
- The company envisions a future with a modular ecosystem where biological computing, silicon chips, and quantum computing coexist to leverage their respective strengths in AI hardware.
- BBB is preparing to scale its technology after relocating to the Bay Area, with a focus on advancing AI hardware beyond traditional silicon-based GPUs.
- Ethical considerations are crucial for BBB, which is collaborating with ethicists and regulatory experts to ensure responsible development of its biological computing technology.
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Analyticsindiamag
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Adobe Introduces AI-Powered Agent Orchestrator for Marketing and Customer Experience
- Adobe announced the launch of Adobe Experience Platform Agent Orchestrator at the Adobe Summit 2025, introducing a new capability for businesses to integrate AI agents into customer experiences and marketing workflows.
- Agent Orchestrator provides the data foundation to manage and deploy AI agents that interact with customers and support daily operations across Adobe and third-party applications.
- The new offering aligns with Adobe’s vision for customer experience orchestration (CXO), enhancing customer engagement with AI-powered automation.
- Adobe introduced ten AI agents designed to streamline key business functions and also introduced Brand Concierge, a solution designed to deliver personalized conversational experiences.
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Analyticsindiamag
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Google to Acquire Cloud Platform Startup Wiz for $32 Billion
- Alphabet, the parent company of Google, has agreed to acquire cloud platform startup Wiz for $32 billion in an all-cash transaction.
- The acquisition will enhance Google Cloud's security tools, enabling businesses to automate and scale their cybersecurity efforts.
- Wiz's platform scans cloud environments for security risks, helping organizations identify and resolve vulnerabilities in their cloud infrastructure.
- The acquisition is expected to be finalized in 2026, pending regulatory approvals.
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Analyticsindiamag
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Anthropic to Launch Voice Mode Soon, More Features Incoming for Business Users
- Anthropic plans to release voice-based conversational features soon to enhance the user interface of their AI models.
- The company is considering collaboration with voice-based product companies like Amazon and Eleven Labs.
- Anthropic is working on adding a suite of features for business users, including generating AI-based reports for scheduled meetings.
- The company's focus is on enterprise and business users rather than mass-market consumer adoption to accelerate distribution.
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Analyticsindiamag
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OpenAI’s Head of Post-Training Liam Fedus Departs to Build AI for Science Startup
- Liam Fedus, vice president of research, post-training at OpenAI, has announced his resignation to pursue new opportunities in AI for science.
- Fedus plans to remain involved with OpenAI as a partner and his new company will receive investment and partnership support from OpenAI.
- Having an academic background in physics, Fedus is excited about applying AI technology to scientific research.
- OpenAI has seen the departure of several notable leaders recently, including Ilya Sutskever and Mira Murati, among others.
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Analyticsindiamag
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Perplexity Partners with SoftBank to Launch Enterprise Pro in Japan
- AI search engine Perplexity has partnered with SoftBank to launch Perplexity Enterprise Pro for corporate customers in Japan.
- SoftBank becomes the first authorized reseller, leveraging its 7,000-member enterprise sales team to target Japanese companies and penetrate one of the world's largest economies.
- This partnership builds on the existing alliance between Perplexity, SoftBank, Y!Mobile, and LINEMO.
- Perplexity Enterprise Pro allows Japanese businesses to use AI-driven search to transform information access and usage, joining over 7,000 global organizations already utilizing the platform.
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VentureBeat
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Orion Security emerges from stealth using LLMs to track your enterprise’s data flow and stop it from leaking out
- Orion Security has emerged from stealth with $6 million in seed funding led by Pico Partners and FXP, aiming to use large language models (LLMs) to track data flow and prevent exfiltration.
- Traditional data protection tools are being outpaced by the complexity and speed of data flow within organizations, making it crucial to adopt AI-powered solutions like Orion Security's platform.
- Orion Security's platform dynamically learns an organization's business processes to differentiate between legitimate data movement and potential threats, providing a more effective approach than manual policy-based security models.
- Their AI models, including proprietary ones and fine-tuned open-source LLMs, automate data protection by classifying sensitive data based on context and assessing user roles and data movement patterns.
- Orion Security's Indicators of Leakage (IOL) engine leverages proprietary reasoning models and LLM classification to analyze data movement patterns and detect anomalies in real-time.
- The platform offers real-time insights into data flows, categorizing risk severity and enabling security teams to identify and address high-risk activities promptly.
- Orion Security's AI distinguishes between malicious insiders, human errors, and external attackers, providing a comprehensive approach to detecting and preventing data leaks.
- The company provides flexibility in response mechanisms, allowing customization based on the level of aggressiveness desired by each organization.
- Orion Security focuses on immediate value delivery during onboarding and emphasizes privacy-first security architecture, ensuring sensitive data is protected.
- By reducing manual workload, false positives, and security blind spots, Orion Security aims to lead the way in context-aware data protection solutions against evolving insider threats.
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Analyticsindiamag
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Why Apollo.io Switched from GitHub Copilot to Cursor
- Apollo.io, a California-based go-to-market platform, switched from GitHub Copilot to Cursor, finding Cursor more suitable for their needs.
- Cursor, built on Visual Studio Code, offers a newer AI approach where multiple tasks can be handled at once.
- Apollo.io saw high satisfaction rates with Cursor among engineers in understanding and generating code effectively.
- While AI tools like Cursor show promise, there is hype around exaggerated productivity gains that may not always align with reality.
- The shift from Copilot to Cursor was driven by the need for a more comprehensive solution that could handle diverse coding tasks effortlessly.
- Cursor's chat-like interface and immediate code execution capabilities were highlighted as key factors in its favor over Copilot.
- Apollo.io has collaborated with major AI providers like OpenAI, Anthropic, and Google, experimenting with different AI models.
- The company emphasizes the importance of understanding the capabilities and limitations of AI tools to optimize their usage.
- Different engineering roles require tailored solutions, and Cursor's versatility aligns with Apollo.io's varied team needs.
- With a significant portion of its workforce in India, Apollo.io has strategically distributed its employees across different functions.
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VentureBeat
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Image Credit: VentureBeat
Halliday raises $20 million to build AI agents that operate safely on blockchain
- Halliday has raised $20 million in Series A funding to develop AI agents that can safely operate on blockchain networks.
- The funding round, led by Andreessen Horowitz’s crypto arm (a16z crypto), brings the company’s total funding to over $26 million.
- Halliday's core innovation, the Agentic Workflow Protocol (AWP), creates 'immutable guardrails' for AI agents operating on blockchain networks.
- The protocol ensures that autonomous systems can execute tasks within defined parameters without the risk of exploits or unintended actions.
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