News/Data
GitHub repo showcases RAG examples for Feast framework
Feast offers a robust framework for enhancing retrieval-augmented generation (RAG) applications by integrating document processing, vector database storage, and feature management into a cohesive system. This quickstart guide demonstrates how combining Feast with Milvus for vector storage and Docling for PDF processing creates a powerful foundation for building sophisticated LLM applications that leverage both structured and unstructured data. The big picture: Feast provides a declarative infrastructure for RAG applications that streamlines how developers manage document processing and retrieval for large language models. The framework enables real-time access to precomputed document embeddings while maintaining version control and reusability across teams. By...
read Apr 30, 2025AI-powered LLM taxonomy tool enhances research efficiency
AI researchers now have a new tool to navigate the complex landscape of AI safety research papers. TRecursive, a project developed by Myles H, uses LLMs to generate hierarchical taxonomies from research paper collections, providing an interactive visual map of academic fields. The system has been tested on over 3,000 AI safety papers from ArXiv, creating a navigable structure that helps researchers gain perspective on how individual papers fit into broader research contexts. The big picture: TRecursive combines automated taxonomy generation with an intuitive visualization interface to make large collections of research papers more accessible and interconnected. The system recursively...
read Apr 29, 2025AI metrics that matter: Developing effective evaluation systems
Measuring AI product success requires structured metric systems that capture both internal performance and customer value. Creating effective metrics frameworks helps organizations avoid the pitfalls of misaligned goals and provides clear direction for product improvement. By systematically tracking the right signals, teams can make data-driven decisions that enhance their AI products' effectiveness and user satisfaction. Key framework for developing AI product metrics: 1. Start with fundamental questions about your product's performance Begin by identifying what you need to know about your AI product's impact on customers and users. These questions should address basic functionality (did it work?), performance (how quickly?),...
read Apr 27, 2025NASA builds people knowledge graph using graph tech and AI
NASA is leveraging graph technology and large language models to transform how it connects its most valuable resource—its people. By building a People Knowledge Graph, the agency can now dynamically map relationships between employees, skills, and projects across its vast organization. This innovative approach allows NASA to discover hidden expertise, identify skill gaps, and enable more effective collaboration across traditionally siloed centers, ultimately accelerating mission-critical work through better utilization of its human capital. The big picture: NASA's People Analytics team has created a knowledge graph that connects workforce data, skills, and projects to enable better talent discovery and organizational insights....
read Apr 26, 2025AI browser raises privacy concerns with comprehensive user tracking
Perplexity's upcoming AI browser aims to create unprecedented user tracking capabilities to monetize personal data more effectively than existing platforms. The controversial approach, revealed by CEO Aravind Srinivas, highlights growing tensions between AI-powered personalization and privacy concerns as tech companies compete for dominance in the increasingly profitable data monetization landscape. The big picture: Perplexity CEO Aravind Srinivas revealed plans for an AI browser called Comet that would track users more comprehensively than any existing browser to deliver hyper-personalized advertising. Srinivas stated on a YouTube podcast that the company wants to collect data "even outside the app" including purchases, travel habits,...
read Apr 26, 2025Adani plans $10B data center expansion to meet AI demand
Adani's $10 billion investment plan for Indian data centers reflects the growing demand for AI and cloud infrastructure in one of the world's fastest-growing digital economies. This significant capital injection represents the billionaire's strategic pivot toward technology infrastructure, positioning his conglomerate to capitalize on India's digital transformation and the surging computational needs driven by artificial intelligence adoption. The big picture: Indian billionaire Gautam Adani plans to invest $10 billion to build data centers across India, according to people familiar with the matter. The investment aims to capitalize on booming demand for artificial intelligence and business process services in the country....
read Apr 26, 2025Data analytics acceleration solves AI’s hidden bottleneck
The untold analytics bottleneck is slowing down enterprise AI adoption despite the industry's obsession with larger models and faster inference chips. While executives tout their generative AI implementations, engineers face growing data preparation challenges that consume up to 80% of data scientists' time and over 30% of the AI pipeline. This hidden infrastructure problem threatens to widen the gap between AI investments and actual returns as traditional CPU-bound architectures struggle to efficiently process the massive datasets needed for modern AI applications. The big picture: While the AI industry focuses on model size and training capabilities, data preparation has emerged as...
read Apr 25, 2025Machine learning powers new tool to protect North Atlantic right whales
Data and AI leader SAS is helping protect endangered North Atlantic right whales through a pioneering collaboration with Fathom Science Inc. The partnership validates WhaleCast, an innovative whale prediction model that creates heatmaps showing the likelihood of whale activity along the East Coast. This technology integration allows vessels to reduce speeds in high-risk areas, potentially saving the critically endangered species while demonstrating how machine learning can transform marine conservation efforts. The big picture: Fathom Science, a North Carolina State University tech spin-off building digital twins of the ocean, partnered with SAS to validate their whale location prediction model that helps...
read Apr 25, 2025AI reshapes software development: strategies for success
The integration of AI into software development is rapidly transforming from an optional enhancement to a competitive necessity. This shift requires organizations to adopt structured governance approaches to maximize AI's potential while managing associated risks, particularly in data-intensive sectors like healthcare where traditional methods increasingly fall short. The big picture: Software development is undergoing a fundamental transformation as AI becomes essential for businesses to remain competitive in today's digital landscape. Industries like healthcare information systems face mounting pressure to integrate AI technologies to handle extensive data processing and analysis requirements. The transition to AI-driven development represents not merely adopting new...
read Apr 25, 2025AI data center boom resurges as investors await crucial test
The AI data center market is showing signs of revival after a period of decline, with several companies in the sector experiencing strong stock performance. As tech giants like Amazon and Nvidia continue to signal robust demand for AI infrastructure, investors are watching closely for upcoming earnings reports from major tech companies to confirm whether this positive trend will continue. First-quarter earnings announcements from Alphabet, Microsoft, Meta, and Amazon will serve as crucial indicators of the health and future trajectory of AI data center investments. The big picture: Tech stocks are rebounding after a difficult period, with the Nasdaq outperforming...
read Apr 25, 2025Morphik-core: Open-source AI tool for private knowledge apps
Morphik Core introduces an open-source alternative to traditional Retrieval-Augmented Generation (RAG) systems, specifically designed for complex technical and visual document processing. This multimodal platform enables developers to overcome limitations in traditional text-only systems by offering comprehensive tools that understand both visual and textual content—filling a critical gap for organizations dealing with technical documentation containing diagrams, schematics, and other visual elements. The big picture: Morphik provides an integrated solution for processing multimodal documents through a combination of visual understanding technology and knowledge graph capabilities. The platform can process diverse document types including images, PDFs, and videos through a unified endpoint, eliminating...
read Apr 24, 2025Databricks to invest $250M in India for AI growth, boost hiring
Databricks is significantly increasing its presence in India with a major investment aimed at tapping into the country's growing AI expertise and market potential. This move represents a strategic expansion by the data analytics firm as global technology companies increasingly look to India for technical talent and growth opportunities in artificial intelligence development. The big picture: Databricks announced plans to invest more than $250 million in India and increase its workforce by over 50% as it expands its artificial intelligence operations in the country. The San Francisco-based company intends to grow its headcount to more than 750 employees in India...
read Apr 24, 2025AI enters the building, eliminates guesswork in construction decision-making
Predictive analytics is transforming construction management by replacing subjective judgment with data-driven decision-making and early problem detection capabilities. As the industry faces challenges from labor shortages, rising costs, and increasing project complexity, these AI-powered systems are proving their value by identifying potential issues before they become critical problems. This shift represents a fundamental evolution from reactive firefighting to proactive management, where objective data enhances human expertise rather than replacing it, ultimately reshaping relationships throughout the construction ecosystem. The big picture: Construction firms are increasingly adopting predictive analytics to overcome traditional management limitations and shift from documenting past events to preventing...
read Apr 23, 2025AI takes center stage at Schneider Electric Data Center Summit 2025
Schneider Electric's 2025 industry summit reveals the transformative impact of AI on data center infrastructure, showcasing both unprecedented challenges and strategic opportunities for the sector. The event highlighted how the convergence of generative AI, liquid cooling systems, and power management is reshaping data center requirements, while emphasizing the critical need for innovative service approaches and software integration to address the growing gap between workforce capacity and industry demand. The big picture: Generative AI is driving rapid transformation across data center operations, creating an innovation race at both national and corporate levels while significantly increasing power density requirements. Power challenges: Unprecedented...
read Apr 23, 2025Data engineers: What they do and why they’re important
Data engineers serve as the architects of data infrastructure, building the critical foundation that enables organizations to harness their information assets effectively. As businesses increasingly embrace AI-powered initiatives, these specialists have become indispensable for creating the robust data pipelines that feed machine learning models and analytics systems. Their unique blend of technical expertise and business acumen allows them to transform raw data into valuable, accessible resources that drive decision-making across the enterprise. The big picture: Data engineers design and optimize systems for data collection, storage, access, and analytics at scale, creating pipelines that transform raw information into formats usable by...
read Apr 22, 2025Structured insights: AI-powered biomedical research leverages massive knowledge graph
Researchers have created a groundbreaking knowledge graph called iKraph that transforms biomedical literature into structured data capable of powering automated discoveries in healthcare. This innovative approach successfully predicted repurposed drugs for COVID-19 treatment early in the pandemic, with a third of its recommendations later validated through clinical trials. The achievement represents a significant advancement in using AI to extract actionable insights from the overwhelming volume of scientific publications, potentially accelerating drug discovery and treatment development for various conditions. The big picture: A team led by Yuan Zhang has built iKraph, a comprehensive biomedical knowledge graph that won first place in...
read Apr 22, 2025Ookla partners with Deloitte and Heavy.AI to improve network analysis
Ookla's new strategic partnerships with Deloitte and Heavy.AI mark a significant advancement in network analytics capabilities for the telecommunications industry. These collaborations combine Ookla's connectivity intelligence with specialized expertise in consultancy and GPU-accelerated analytics, promising to transform how telecom providers, governments, and infrastructure companies visualize, analyze, and optimize network performance at unprecedented scales. The big picture: Ookla has formed partnerships with both Deloitte and Heavy.AI to enhance network analytics capabilities and enable data-driven decision-making for telecom stakeholders worldwide. The collaboration with Deloitte combines Ookla's connectivity insights with Deloitte's consultancy services to improve network performance understanding and strategy development. The partnership...
read Apr 21, 2025AI powers DOGE’s new approach to government efficiency while attracting skepticism
The Trump administration is leveraging artificial intelligence through its Department of Government Efficiency (DOGE) to scrutinize federal agencies, raising significant concerns about data privacy and security. Reports indicate DOGE staff are utilizing AI tools to analyze operations, monitor communications, and identify potential budget cuts to support Elon Musk's ambitious goal of trimming $1 trillion from federal spending—all while the administration pursues an "AI-first strategy" that aims to reduce regulatory requirements on AI developers. The big picture: DOGE operatives have reportedly gained unprecedented access to government databases and are downloading information to unauthorized servers while pushing for extensive data consolidation. Why...
read Apr 21, 2025Wikipedia blocks AI scrapers to reduce server strain
Wikipedia has deployed a strategic solution to combat the growing problem of AI scraping bots that have been straining its infrastructure and consuming bandwidth. By partnering with Google-owned Kaggle, the Wikimedia Foundation is providing AI developers with a structured dataset specifically designed for machine learning applications, addressing both technical challenges and reflecting a collaborative approach that contrasts with more restrictive measures taken by other content platforms. The big picture: The Wikimedia Foundation has launched a beta dataset through Kaggle containing structured Wikipedia content in English and French, designed specifically for AI developers to use instead of scraping the live site....
read Apr 18, 2025AI grapples with data scarcity, once thought to be no problem at all
AI models are facing a surprising challenge: they're running out of data to train on despite years of discussion about data abundance. This shortage could hamper AI advancement as soon as 2026, with overtraining exacerbating the problem by requiring ever-larger datasets. The situation creates a paradox where AI systems increasingly rely on synthetic data they've created themselves, potentially leading to less diverse outputs and amplified biases. The big picture: AI's hunger for data is outpacing supply, with models like ChatGPT requiring hundreds of billions of words and newer systems like Databricks' DBRX consuming trillions of data points. Reading a novel...
read Apr 17, 2025Snowflake CEO: AI success hinges on data management
Snowflake's pragmatic approach to enterprise AI shifts focus from flashy demonstrations to methodical data-first implementation. CEO Sridhar Ramaswamy advocates for incremental AI projects that deliver consistent value rather than massive, speculative investments. His perspective challenges the industry's fixation on cutting-edge models by emphasizing that successful AI deployment depends fundamentally on properly organized, accessible data—a reality that many enterprises overlook in their rush to adopt artificial intelligence. The big picture: Snowflake CEO Sridhar Ramaswamy recommends a pragmatic, value-driven approach to AI implementation rather than pursuing ambitious but potentially unfocused "big bang" projects. "AI should not be a Big Bang. It should...
read Apr 17, 2025Apple uses privacy-protecting synthetic data in strategy to enhance user experience
Apple is developing innovative privacy-preserving methods to improve Apple Intelligence without compromising user data security. The company faces unique challenges in training its AI models due to its strict privacy stance, requiring creative approaches to gather sufficient training data while maintaining anonymity. These techniques represent Apple's distinctive approach to AI development that balances advancing capabilities with protecting personal information—a strategy that sets it apart from competitors who may collect user data more directly. The big picture: Apple has developed sophisticated differential privacy techniques to learn from user data patterns without accessing individual information. The company generates synthetic data representing aggregate...
read Apr 16, 2025Kubernetes prove crucial in the AI era, boosting a private cloud resurgence
Private cloud technology is experiencing a significant revival, driven by artificial intelligence and digital sovereignty needs. At the recent KubeCon + CloudNativeCon Europe 2025 in London, attendance soared to 12,000 participants, demonstrating that Kubernetes and cloud-native technologies remain essential infrastructure components in the AI era. This renewed interest marks a shift from the hybrid cloud focus of recent years, as companies seek greater control over their data while building AI capabilities. The big picture: Kubernetes and cloud-native technologies are proving remarkably resilient against AI displacement while simultaneously becoming foundational for AI infrastructure development. The technologies that underpin modern cloud deployments...
read Apr 14, 2025Pulse’s AI document intelligence system tackles where traditional OCR fails
Pulse is pioneering a breakthrough approach to document intelligence by combining specialized vision and language models that extract structured information where traditional OCR tools fail. The San Francisco-based startup, founded in 2024 by Sid Manchkanti and Ritvik Pandey, is rapidly growing with backing from tier 1 investors and already serves Fortune 100 enterprises, YC startups, and investment firms with its multi-stage document processing architecture. The big picture: Pulse tackles one of data infrastructure's most persistent challenges—accurately extracting structured information from complex documents at scale. Their technology employs a sophisticated multi-stage architecture for document intelligence that outperforms legacy OCR and parsing...
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