News/Data
3 ways renewable energy is powering AI’s growing data center demands
As AI technology continues to expand its computational footprint, energy consumption has become a critical concern for data centers powering these systems. The renewable energy sector is responding with innovative solutions that not only reduce carbon emissions but also provide cost-effective and reliable power for AI infrastructure. These sustainable approaches are transforming how data centers operate, combining environmental responsibility with practical business considerations to address the growing energy demands of artificial intelligence. 1. Solar and wind power integration Large-scale solar farms are being deployed both on-site and in remote locations with advanced photovoltaic technology enabling greater power generation from smaller...
read Apr 13, 2025Wikipedia faces AI bot bandwidth crisis as scraping costs threaten site stability
Wikipedia is experiencing a bandwidth crisis due to AI bot activity, with automated scraping operations dramatically increasing infrastructure costs and threatening site stability. This situation highlights the growing tension between open knowledge resources and AI companies' data-gathering practices, raising important questions about sustainability and responsible access to publicly available information in the era of large AI models. The big picture: Wikipedia's infrastructure is buckling under unprecedented traffic from AI bots scraping content, with the nonprofit Wikimedia Foundation warning that automated requests have "grown exponentially." The foundation revealed that since January 2024, bandwidth used for downloading multimedia content has surged by...
read Apr 12, 2025Databricks’ TAO system improves AI models without costly labeled data
Databricks' new test-time adaptive optimization (TAO) approach represents a significant advancement in improving large language model performance without the expensive, labor-intensive process of gathering labeled data. This method leverages unlabeled usage data and reinforcement learning to enhance model capabilities during deployment, potentially allowing open-source models to compete with proprietary alternatives at a fraction of the cost. For enterprises seeking specialized AI capabilities without massive training datasets, TAO offers a practical path to improving model performance across diverse business applications. The big picture: Databricks has introduced Test-time Adaptive Optimization (TAO), a novel approach that uses reinforcement learning to improve deployed language...
read Apr 12, 2025How NYIT’s AI chatbot makes complex college data more accessible and accurate
Colleges are embracing AI-powered data analytics tools to enhance decision-making, but the accuracy of these insights depends heavily on proper implementation and governance. The New York Institute of Technology's partnership with HelioCampus demonstrates how specialized AI chatbots can bridge the gap between casual user queries and precise data analysis, potentially transforming how institutions leverage their information resources while maintaining accuracy. The big picture: HelioCampus has developed an AI Insights chatbot with a "semantic layer" specifically designed to interpret the imprecise language typical of university staff when requesting data. The tool addresses a common AI problem where ambiguous queries like "tuition...
read Apr 12, 2025Tech giants pour billions into AI infrastructure as data center demand surges
The AI infrastructure sector continues to see major developments as tech giants adapt their data centers for AI compute demands. Google's massive Li-ion battery deployment, Apple's potential billion-dollar AI hardware investment, and warnings of a potential data center construction bubble highlight how infrastructure requirements are evolving to meet AI's exponential growth. These developments reveal the substantial physical foundation being built to support the next generation of AI applications. The big picture: Google has deployed over 100 million lithium-ion battery cells across its global data center network, marking a significant shift from traditional lead-acid batteries to more efficient power solutions. The...
read Apr 11, 2025Volvo combines crash data history with AI simulation to redefine vehicle safety
Volvo's software-defined approach combines decades of safety innovation with cutting-edge simulation technology to create safer vehicles. The Swedish automaker is leveraging its extensive crash data history to develop new safety features while using advanced "Gaussian splatting" to virtually test cars in thousands of scenarios derived from real-world conditions. This technological approach reflects Volvo's longstanding commitment to prioritizing passenger safety over performance metrics. The big picture: Volvo is embracing the software-defined vehicle (SDV) architecture, replacing numerous electronic control units with powerful central computers that manage key vehicle systems. The company organizes these computers around specific domains including infotainment, advanced driver assistance,...
read Apr 11, 2025Supermicro unveils Blackwell Ultra-powered AI systems with 288GB GPU memory at GTC 2025
Supermicro is expanding its AI infrastructure offerings with powerful new systems built on NVIDIA's Blackwell Ultra platform, designed to handle the escalating computational demands of advanced AI workloads. These next-generation systems feature dramatically increased memory capacity and enhanced networking capabilities, positioning Supermicro at the forefront of hardware solutions for training and running sophisticated AI models as organizations scale their AI initiatives. The big picture: Supermicro has unveiled new AI computing systems powered by NVIDIA's Blackwell Ultra platform at GTC 2025, featuring the NVIDIA HGX B300 NVL16 and GB300 NVL72 configurations for high-performance AI workloads. Key details: The new systems leverage...
read Apr 10, 2025Datafold seeks senior engineer to build AI-powered database migration tool
Datafold is expanding its AI capabilities with a new role focused on developing their Migration Agent, a tool that automates database migrations using LLMs and proprietary diffing technology. This position represents a growing trend of startups applying AI to specialized data engineering problems, potentially disrupting traditional migration processes that typically require extensive manual work and specialized consultants. The opportunity: Datafold is hiring a senior software engineer to lead development of their AI-powered data migration tool that promises to reduce migration timelines by 5-10x. The role focuses on building the Datafold Migration Agent (DMA), which combines large language models with data...
read Apr 9, 2025Who’s watching? Healthcare systems averaging 70 hidden AI applications, risking patient data
Healthcare organizations have unintentionally welcomed dozens of AI applications into their systems, potentially compromising sensitive patient data and established information hierarchies. What started with carefully selected AI implementations has evolved into a sprawling ecosystem of hidden AI capabilities embedded within everyday platforms like Microsoft Office, Salesforce, and Gmail. This silent AI proliferation creates significant governance challenges for healthcare institutions that must balance innovation with their strict regulatory obligations to protect patient information. The big picture: Healthcare organizations are discovering 70 AI applications on average in their systems when security teams expected only 1-5, according to cybersecurity firm Prompt Security. Why...
read Apr 9, 2025SK Telecom takes the plunge, partners with Giga Computing to develop liquid cooling for AI data centers
Liquid cooling systems are becoming essential infrastructure for AI data centers as high-density computing demands exceed what traditional air cooling can support. SK Telecom's new partnership with Giga Computing and SK Enmove positions the Korean telecom giant to develop comprehensive liquid cooling solutions spanning all three major cooling technologies. This strategic move reinforces SK Telecom's growing presence in AI infrastructure, where thermal management has become as critical as computing power itself. The big picture: SK Telecom has formed a partnership with liquid cooling specialist Giga Computing and SK Enmove to develop next-generation cooling solutions specifically designed for AI workloads. The...
read Apr 9, 2025Siemens and O2 Telefónica sell 5G network slices to water utilities in new industrial model
Siemens and O2 Telefónica's new partnership marks a significant shift in how network resources are delivered to industrial customers in Germany. By selling slices of public 5G networks to water utilities, the companies are pioneering a model that provides enterprise-grade connectivity without requiring dedicated private networks. This approach could transform how distributed industrial operations access critical communications infrastructure while accelerating the practical applications of Industry 4.0 technologies. The big picture: Siemens is leveraging O2 Telefónica's public 5G network to sell optimized connectivity slices directly to water utilities and wastewater treatment companies in Germany as part of a comprehensive industrial automation...
read Apr 8, 2025Key Performance Generator: How generative AI transforms static data into dynamic KPI intelligence
Generative AI is transforming how businesses interact with their data repositories, offering a path to dynamic, real-time KPI management that previously remained inaccessible to many organizations. By converting static data stores into responsive, intelligent systems, AI enables companies to move beyond passive information storage toward active insight generation—creating opportunities for businesses of all sizes to make data-driven decisions without the prohibitive costs of specialized BI talent. The big picture: Businesses today struggle with extracting actionable insights from passive data repositories, limiting their ability to develop and monitor the KPIs essential for strategic decision-making. Most companies maintain data in static repositories...
read Apr 8, 2025Gartner report: 9 AI-powered data trends reshaping business analytics for 2025
Gartner's 2025 data trends reflect the evolving landscape where data moves from specialized domains to ubiquitous business necessity. As organizations face pressure to extract more value from expanding data volumes, AI-centric technologies dominate the recommended strategies. These trends highlight a crucial shift in data management philosophy—moving from isolated analytics to integrated, AI-enhanced decision systems that deliver actionable insights across the enterprise. The big picture: Gartner has identified nine key data and analytics trends for 2025, with AI-related technologies comprising more than half of the recommendations for digital leaders. AI agents lead the list as organizations increasingly implement autonomous assistance capabilities...
read Apr 8, 2025Google’s Pixel 10 to feature Pixel Sense AI that analyzes data across all apps
Google's upcoming Pixel 10 series is set to feature a deeply integrated AI system called Pixel Sense, which will analyze user data across nearly all Google apps to create highly personalized experiences. This evolution of Google's earlier Pixie project represents a significant advance in contextual computing, where smartphones attempt to anticipate user needs by processing vast amounts of personal data and usage patterns. The big picture: Google plans to launch Pixel Sense as a flagship feature for its Pixel 10 smartphones later this year, leveraging data from virtually every Google app to create predictive, personalized experiences. The system represents a...
read Apr 7, 2025Tech giants expand AI infrastructure with new partnerships and data centers
Tech giants are rapidly expanding AI infrastructure to meet the growing demands of this computing-intensive technology. Recent collaborations between major companies like Schneider Electric, Oracle, NVIDIA, and Digital Realty highlight the industry's push toward more sophisticated simulation technologies, cloud integration, and global data center expansion. These developments point to a strategic shift in how companies are building the physical and digital foundations needed to support increasingly complex AI workloads. The big picture: Major tech and infrastructure companies are forming strategic partnerships to build more advanced AI infrastructure systems that can optimize power usage, accelerate workloads, and expand global data center...
read Apr 7, 2025AI crawlers are overwhelming open-source infrastructure, forcing defensive measures
Open-source infrastructure is experiencing unprecedented strain as aggressive AI web crawlers overwhelm systems that were designed for human traffic, not industrial-scale data harvesting. These digital demands are creating a crisis for the Free and Open Source Software (FOSS) community, whose public collaboration model makes them uniquely vulnerable compared to private companies that can restrict access. This brewing conflict highlights the growing tension between AI companies' data needs and the sustainability of open-source development platforms. The big picture: FOSS projects are facing disruptive outages as AI crawlers from both established tech giants and smaller AI companies bombard their infrastructure with excessive...
read Apr 7, 2025OMNY Health unlocks 4 billion clinical notes to transform healthcare research
OMNY Health's massive integration of unstructured clinical notes represents a breakthrough in healthcare data utilization, potentially transforming medical research and patient care. By converting 4 billion previously unusable clinical notes into accessible insights, OMNY has addressed a critical gap in healthcare analytics where approximately 80% of medical data exists in unstructured formats that traditional electronic health records cannot process. This development opens new possibilities for understanding disease progression, improving clinical trials, and advancing health equity research. The big picture: OMNY Health has incorporated 4 billion unstructured clinical notes into its network, transforming previously unusable data into accessible insights for healthcare...
read Apr 7, 2025Google’s NotebookLM adds mind maps and multilingual output for better research
Google's NotebookLM AI research assistant is expanding its capabilities with new productivity-focused features aimed at both students and professionals. The tool, which has consistently impressed users with its research capabilities for tasks ranging from apartment hunting to vehicle research, now offers enhanced visualization and multilingual output options. These upgrades represent Google's continued investment in making AI tools more versatile and accessible for knowledge workers across various fields. The big picture: Google is enhancing NotebookLM with features that transform it from a simple research assistant into a comprehensive knowledge management system. The updates introduce visualization capabilities and language flexibility that make...
read Apr 6, 2025Report: AI transforming food industry through predictive analytics and data insights
AI is transforming food industry research and supply chains by enabling predictive analytics and data-driven insights, according to a new MIT Technology Review Insights report. The study examines how artificial intelligence can help meet growing global food demands while ensuring resilient supplies and reducing environmental impact. While large agricultural companies are leading AI implementation through strategic partnerships, fragmented data practices remain a significant barrier to unlocking the technology's full potential across the industry. The big picture: Advanced AI systems are revolutionizing food product development and supply chain management, but comprehensive data strategies remain a critical challenge for widespread implementation. The...
read Apr 6, 2025SK Telecom partners with Kpler to develop AI-powered commodity intelligence
SK Telecom has forged a strategic partnership with global commodities data provider Kpler to develop AI-powered market intelligence capabilities, marking a significant step in the Korean telecom giant's AI transformation strategy. The collaboration aims to create enterprise-grade intelligence solutions by integrating Kpler's raw materials and logistics data with SK Telecom's advanced AI platforms, positioning the company to deliver specialized insights for telecom operators navigating energy-intensive infrastructure transitions like 5G and edge computing deployments. The big picture: SK Telecom signed a strategic memorandum of understanding with Kpler on April 2nd at Seoul's Lotte Hotel, establishing a framework to leverage AI for...
read Apr 3, 2025Suggestion boxing: How AI tools are transforming feature request management for product teams
The race to manage feature requests efficiently has intensified as software development cycles accelerate. AI systems now offer promising new approaches to automate the traditionally manual process of collecting, organizing, and prioritizing user feedback. By leveraging natural language processing and machine learning, companies can transform overwhelming volumes of feature requests into actionable product roadmaps, potentially saving significant time and increasing product-market fit through more data-driven decision making. The big picture: Building an AI-powered product manager for feature requests enables companies to systematically handle user feedback without drowning in manual data analysis. Key components: An effective AI-based feature request management system...
read Apr 2, 2025DAM, right: The 6 ways AI is transforming digital asset management systems
Digital Asset Management (DAM) systems are rapidly evolving beyond traditional media storage into AI-powered action platforms that transform how organizations manage their content supply chains. Forrester's new DAM analyst identifies six key emerging capabilities that represent significant opportunities for both vendors and users, highlighting how AI integration, personalization, and sustainability are reshaping digital asset management to meet the demands of modern digital experiences. 1. AI integration and automation AI is fundamentally transforming the DAM landscape by eliminating time-consuming manual tasks and enhancing creative workflows. Vendors are implementing AI to generate asset renditions, automate repetitive tasks, and enhance metadata management through...
read Apr 1, 2025Scale AI’s valuation could nearly double to $25 billion amid soaring AI data labeling demand
Scale AI's booming business in the AI value chain is driving a potential tender offer that could nearly double its valuation to $25 billion, highlighting the soaring demand for specialized AI infrastructure services. The company, which provides the critical labeled data necessary for training sophisticated AI models like ChatGPT, represents a key growth segment in the AI ecosystem at a time when tech giants are racing to integrate artificial intelligence capabilities across their product portfolios. The big picture: Scale AI is reportedly discussing a tender offer that could value the company at up to $25 billion, significantly higher than its...
read Apr 1, 2025Here are the 5 power constraints emerging as the biggest bottlenecks in AI datacenter expansion
The growing power demands of AI infrastructure are creating significant bottlenecks in datacenter construction and expansion. Powerful AI systems require unprecedented levels of electricity—far beyond what traditional computing infrastructure needs—creating a complex set of challenges for companies racing to build the computational foundation for artificial intelligence. As AI adoption accelerates, resolving these power-related constraints will determine which organizations can effectively scale their AI capabilities. 1. Power availability – the fundamental constraint AI datacenters require massive amounts of energy to power their computational workloads, especially for training large language models, creating demand that often exceeds what existing electrical grids can supply....
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