2026-05-07 17:33
GitHub faces serious reliability issues, with a recent report showing a drastic drop in service quality. 📉 Last month, its reliability stood at 90%, but it fell to 86% this month. A significant data integrity incident occurred, impacting over 2,000 pull requests. This incident caused lost commits for users, leading to manual recovery efforts. Some customers expressed frustration over GitHub's response, feeling it downplayed the severity of the situation. #GitHub #DataIntegrity #TechNews...
Gergely Orosz
2026-05-07 16:00
🚀 Recent discussions at Cisco's panel on "Scaling AI in Healthcare" highlight a shift towards agentic AI. We are moving beyond basic AI applications and embracing systems that can act autonomously, enhancing patient care by automating tasks like scheduling and updating records. However, the growing volume of healthcare data poses challenges. The focus is now on bringing AI closer to data sources to improve efficiency and reduce costs. 💡 Watch the full panel to learn more about these...
Eric Knipp
2026-05-07 11:00
🚀 AI is transforming the developer landscape, especially for junior developers who often feel overlooked. A nervous junior may avoid asking for help, leading to wasted time. Neel Sundaresan from IBM notes that entry-level roles often involve tedious tasks, leaving less room for growth. AI tools provide a judgment-free space for inquiries, allowing juniors to tackle coding challenges confidently. However, experts warn that while AI offers quick answers, it may lack the broader insights that...
Darryl K. Taft
2026-05-07 00:00
WP Engine partners with Google Cloud and Elastic to enhance search capabilities for over 2 million users. 🤝 In a recent webinar, experts discussed the importance of a unified architecture, which allows for fast updates and high-precision search across vast data. This innovation addresses the growing demands of modern software vendors. The partnership aims to provide scalable AI features while maintaining performance and cost-efficiency. 💡 #WPEngine #GoogleCloud #Elastic #SearchInnovation...
Sunile Manjee
2026-05-07 00:00
🌍 Twilio is committed to enhancing disaster preparedness by aiming for universal access to digital early warning systems by 2030. Their initiative focuses on ensuring that every individual, regardless of location, receives timely alerts during emergencies. This goal reflects Twilio's dedication to building disaster-ready communities worldwide. #DisasterPreparedness #Twilio #EarlyWarningSystems #CommunitySafety #Innovation
Erin Reilly
2026-04-29 22:07
📊 Companies are scaling back on hiring new grads, but research from Atlassian shows this could hinder AI adoption. New hires with less experience are 1.5x more likely to use AI daily and 1.7x more likely to view AI as a collaborator. 📈 As AI tools evolve, having fresh talent who can adapt is crucial for maximizing their potential. #AI #HiringStrategy #NewGrads #TechIndustry #Innovation
esarasohn
2026-04-29 21:07
Google Research scientists are utilizing Empirical Research Assistance (ERA) to tackle real-world challenges in various fields, including epidemiology and neuroscience. Since its introduction, ERA has demonstrated its ability to accelerate scientific discoveries by providing expert-level empirical software solutions. Notably, it has been used to predict hospitalizations for COVID-19, outperforming existing tools and expanding to forecast influenza and RSV. These efforts highlight how AI can...
2026-04-29 19:00
Trinity Industries demonstrates the importance of a strong data foundation for successful AI implementation. 📊 By consolidating fragmented systems, they improved on-time material delivery by 15% and enhanced ETA model accuracy by 50%. ⚙️ A unified and governed data layer is crucial for real-time AI and efficient decision-making. Companies prioritizing their data architecture will lead in the AI space. 🚀 #AI #DataStrategy #BusinessInsights #TrinityIndustries #Innovation
2026-04-29 16:45
AI evaluations are facing significant cost challenges. The Holistic Agent Leaderboard (HAL) recently spent around $40,000 for 21,730 agent rollouts across 9 models. A single GAIA run on a frontier model costs nearly $2,829. Exgentic's analysis revealed a 33× cost spread on similar tasks due to scaffold choice. As evaluations become pricier, new benchmarks are proving difficult to compress. #AI #MachineLearning #CostAnalysis #TechTrends #DataScience 🤖💰📊
2026-04-29 16:45
Modern data platforms are built on SQL, but fragmented SQL ETL processes can lead to hidden costs and inefficiencies. 📊 The article discusses how multiple tools and warehouses complicate operations, resulting in slower incident resolution. 🛠️ A unified SQL ETL platform can streamline processes, reduce complexity, and enhance team collaboration. 🚀 #DataAnalytics #SQLETL #DataManagement #TechTrends #DataStrategy
2026-04-29 16:41
AI factories are shaping the future of enterprise productivity. These systems leverage agentic AI for reasoning, automation, and real-time decision-making. Success relies on robust infrastructure that ensures scalability and performance, transitioning from pilot to production smoothly. NVIDIA's Enterprise Reference Architectures offer the necessary guidance for building this foundation, minimizing integration risks and deployment time. These architectures enable organizations to scale AI...
Shashank Sabhlok
2026-04-29 15:15
📈 In the digital economy, businesses are shifting from CAPEX to OPEX models to optimize costs and enhance growth. This trend is expected to boost managed services budgets by 88% in the next year. 🔍 As a Managed Security Service Provider (MSSP), it's crucial to evaluate your offerings and identify new opportunities. 💡 The article discusses the importance of continuous improvement through Cisco’s Health Check Lifecycle Review for optimizing services and ensuring value delivery. #ManagedSecurity...
Bradley Anstis
2026-04-29 15:00
Service providers are at a pivotal moment. With basic connectivity becoming a low-margin commodity, the focus must shift from speed and uptime to building trust. Trust is now the key differentiator in a competitive market. However, providers must ensure their networks are secure to effectively monetize this trust. Cyber threats are evolving, targeting infrastructure directly. Recent data shows that nearly 40% of incidents start with public-facing applications, highlighting the need for...
John Cardani-Trollinger
2026-04-29 15:00
🚀 Enterprises are experiencing high levels of AI activity, but many struggle to extract real value. Data silos and inadequate governance often hinder the effectiveness of agentic systems. CDOs and CTOs are urged to prioritize a transactional database tailored for action and clearly define success before proceeding. #AI #DataStrategy #DigitalTransformation #BusinessInsights #TechTrends
2026-04-29 13:05
🚀 Platform engineering aims to empower developers while maintaining standards. With AI, developers can automate tasks by creating agents, leading to increased efficiency. However, this can result in "agent sprawl," where oversight diminishes, raising concerns about governance and safety. As platform engineers, it's essential to adapt and ensure that AI tools align with company standards. #PlatformEngineering #AI #Automation #DevOps #Governance
Zohar Einy
2026-04-29 13:00
HPE addresses the challenges of hybrid cloud complexity and AI integration for enterprise operations. 🌐 With increasing demands on operations teams, organizations must shift from siloed systems to a closed-loop operations model. This involves using AI agents for continuous feedback on orchestration, observability, and remediation. 🔄 AI techniques are essential for optimizing operations, enabling teams to work more strategically despite resource constraints. The focus is on enhancing...
Jennifer Riggins
2026-04-28 23:39
Marketers are facing challenges with AI adoption. Many teams spend time on "AI experimentation" but struggle to implement real changes in their workflows. The issue lies in focusing on hypothetical problems instead of addressing actual needs. Companies need to treat AI like teamwork, integrating it into ongoing processes rather than as a separate project. Emphasizing real-world applications can lead to more effective use of AI in marketing strategies. #Marketing #AI #Productivity...
kdelara@atlassian.com
2026-04-28 21:45
In the article "Built In, Not Bolted On: What AI-Native Actually Means in Cybersecurity," Neal Bradbury discusses the importance of AI-native applications. He emphasizes that these applications should have intelligence embedded at their core rather than added later. This approach helps in creating proprietary telemetry, offering a competitive edge that standard SaaS models lack. Additionally, effective cybersecurity requires cross-functional alignment focused on shared outcomes instead of...
2026-04-28 20:29
🚀 "Developer loyalty is at zero right now," says Richard Seroter from Google Cloud. He emphasizes that Google aims to simplify AI development, regardless of the tools used. Their goal is to excel in AI tools and provide the best performance on Google Cloud. Seroter also highlights the importance of a unified platform over a portfolio of services. Google Cloud focuses on delivering a superior developer experience, ensuring the best architecture and advice for its users. #GoogleCloud #AI...
Frederic Lardinois
2026-04-28 20:00
Public sector agencies are facing new challenges in fraud prevention due to advancements in AI technology. 🤖 As criminals adopt synthetic identities and deepfake tactics, traditional risk controls are becoming less effective. Agencies must incorporate clean data, smart automation, and real-time insights to enhance their fraud detection capabilities. Operationalizing AI will enable quicker and more accurate decision-making in tackling these sophisticated threats. 🔍 #FraudPrevention #AI...
2026-04-28 19:20
🌐 The future of surgical care is evolving through enhanced connectivity. Cisco emphasizes the need for collaboration and digital innovation to address challenges in surgical training. Current methods are costly and time-consuming, especially in countries with high healthcare expenses like Switzerland. Introducing Operation Room-X at Balgrist University Hospital, which leverages Cisco technology to improve surgical training and research. #SurgicalCare #DigitalHealth #Innovation #Healthcare...
Garif Yalak
2026-04-28 19:00
Forrester's recent survey highlights the evolving role of IT leaders in building AI-ready digital workplaces. 🌐 280 IT leaders shared insights on the importance of streamlined cross-functional collaboration. Despite confidence in their tech foundations, many face challenges like team silos and fragmented data. 📊 While only 14% have fully operationalized AI, the ambition is strong, with 81% prioritizing AI integration into core processes. Connecting teams and enhancing execution are key focus...
aleaf@atlassian.com
2026-04-28 17:29
SAS has unveiled its Viya MCP Server, allowing AI agents like Claude and Copilot to access its robust analytics and decisioning tools. This move emphasizes SAS’s commitment to governance in the evolving AI landscape. According to SAS CTO Bryan Harris, trust in AI is crucial for their clients, and they aim to provide verified results through their technology. The new MCP Server enables organizations to utilize SAS’s fraud detection and optimization models while maintaining strict governance...
Frederic Lardinois
2026-04-28 17:00
In the era of generative AI, JSON Schema is becoming essential for enterprises. As organizations face the unpredictability of large language models, this standard helps enforce structure and ensure reliability in data outputs. Many users may not realize they're already utilizing JSON Schema in their APIs and microservices. Originally proposed in 2007, its complexity has grown, yet it remains foundational for major API specifications like OpenAPI and AsyncAPI. The ongoing need for shared...
Charles Humble
2026-04-28 15:00
Is your data center hindering your AI strategy? 🤔 Many organizations face infrastructure challenges that can stall AI initiatives. The article outlines five key signs to watch for, including reactive IT models and idle expensive AI resources. Recognizing these issues is the first step towards improving your AI readiness and operational efficiency. #AI #DataCenter #Infrastructure #TechStrategy #BusinessInsights
Tim Shanahan
2026-04-28 15:00
🌐 Network infrastructure has evolved significantly from the early days of the internet. As networks expanded, the need for effective tracking became critical. Traditional tools like Excel spreadsheets are no longer sufficient for managing complex systems. NetBox Labs offers network architects advanced tools to map and manage these intricate architectures. This helps create a reliable "system of record" for better decision-making. However, change management is essential, as networks are...
Doug Sillars
2026-04-28 13:00
The first quarter of 2026 saw significant Internet disruptions worldwide. 📉 In Uganda and Iran, government-directed shutdowns led to prolonged outages, contrasting sharply with the previous year. In Cuba, power outages caused multiple grid collapses impacting connectivity. ⚡️ Military actions in Ukraine and severe weather in Portugal also disrupted services. Additionally, technical issues affected Verizon in the U.S. and various providers in Guinea and the UK. For detailed insights, visit...
David Belson
2026-04-28 09:55
🤔 Building or buying tech solutions? It's a common dilemma for companies. The key isn't just whether you can build a solution, but how fast and efficiently it can be implemented and maintained. Many overlook long-term challenges like consistency and integration when opting for DIY approaches. In agentic analytics, ambiguity in definitions and answer quality often leads to problems as scope expands. Understanding what it truly takes to make a system reliable across teams is essential for...
Claire Amaouche
2026-04-28 07:40
🌐 In a recent episode, Harsha Chintalapani, co-founder and CTO of Collate, discussed the challenges AI and LLMs face with real-time, structured production data. 📊 Key issues include schema changes, inconsistent definitions, and weak governance, which can disrupt analytics and machine learning processes. 💡 To make data AI-ready, companies should focus on metadata management and observability. #DataChallenges #AI #MachineLearning #Metadata #Governance
Phoebe Sajor
2026-04-28 00:00
The 2026 State of Observability in Financial Services report highlights significant changes in how organizations manage their digital infrastructure. Key findings show a shift from basic metrics collection to a focus on unified insights that drive business decisions. This evolution supports cybersecurity, compliance, and operational resilience. Notably, 70% of IT leaders now classify their observability practices as mature or expert—up from 45% last year. Companies are optimizing investments...
Leah McEwen
2026-04-27 23:23
Leading tech companies are addressing the "builder's tax" in AI development through Databricks Lakebase. By collapsing data movement layers, they eliminate ETL processes and unify operational and analytical data on one governed platform. This approach enables real-time intelligence, streamlining the development of AI-native apps. #TechInnovation #AI #DataManagement #Databricks #Lakebase
2026-04-27 22:25
🚀 OpenAI and Microsoft have announced a reworking of their partnership agreements, aiming for a more flexible collaboration. This change allows OpenAI to deliver services beyond Azure, while Microsoft will no longer pay OpenAI a revenue share. However, revenue-share payments from OpenAI to Microsoft will continue through 2030. The shift opens opportunities for Microsoft to collaborate with other AI companies like Anthropic and Google. #OpenAI #Microsoft #AIpartnership #TechNews #Innovation
Adrian Bridgwater
2026-04-27 20:19
Engineering teams are achieving rapid output, but they're spending only 16% of their time coding. The remaining 84% is consumed by coordinating, searching for documentation, and aligning across teams. Jira is essential for tracking progress, yet many organizations miss its potential by treating it as a simple to-do list. By integrating tools like Confluence and Rovo, teams can enhance workflow efficiency and access critical context that drives execution. Identifying friction points in your...
Mary Cadwell
2026-04-27 18:53
In a recent episode of The New Stack Makers, Nimisha Asthagiri, data and AI advisor at Thoughtworks, discussed the challenges companies face in advancing AI from proof of concept to production. Many organizations are struggling with this transition, as Gartner predicts over 40% of agentic AI projects may be canceled by 2027. Asthagiri emphasizes the need for companies to rethink their approach to AI, focusing on what new capabilities can be built instead of just speeding up processes. The...
Frederic Lardinois
2026-04-27 16:08
Executives are increasingly "vibe coding" their own tools using AI coding assistants, moving beyond traditional IT processes. This trend includes simple automations to complex systems, driven by impatience and curiosity. Tools like Claude and Cursor are popular among high-level professionals. Moshe Bar, CEO of Codenotary, successfully created a bulletin board system with minimal coding, demonstrating the potential of AI in software development. #AICoding #BusinessInnovation #TechTrends...
Darryl K. Taft
2026-04-27 15:42
At Atlassian, the role of Design Technologists (DTs) is transforming how teams turn ideas into reality. By creating interactive prototypes quickly, DTs bridge the gap between design and engineering. This allows teams to test concepts early, reducing risks and improving decision-making. 🚀 DTs also integrate AI into design processes, enabling faster prototyping and enhancing collaboration across teams. The impact has been significant, with a 35% month-over-month growth in AI prototyping...
lfosslien@atlassian.com
2026-04-27 15:00
🚀 The 2026 State of Open Source Report highlights a significant shift in digital autonomy discussions among CIOs and CTOs. As organizations integrate open source into their systems, concerns about vendor lock-in have risen, with 68% citing it as a primary adoption driver. This trend emphasizes the importance of control and flexibility in tech environments. However, increased autonomy comes with challenges. Many enterprises report that over 50% of engineering time is now spent on maintenance...
Matthew Weier O’Phinney
2026-04-27 14:16
AI is transforming our economy, but success relies on combining technology with skills development. Organizations that invest in both AI tools and workforce training are more likely to excel. Currently, 90% of enterprises have an AI strategy, yet less than 15% of their workforce is prepared to implement it. This skills gap poses a significant risk to future innovation. #AI #SkillsDevelopment #DigitalTransformation #WorkforceInnovation #FutureOfWork ✈️💻🌍
Enrico Albertin
2026-04-27 14:00
The demand for AI applications is growing rapidly, with many developers focusing on the need for structured data. Jensen Huang of Nvidia emphasized that structured data is the "ground truth for AI." This is crucial for preventing AI agents from making inaccurate assumptions. Postgres has emerged as the preferred database for AI workloads. According to the Stack Overflow 2025 Developer Survey, 66% of developers prefer Postgres for its ease of use and strong community support. #Postgres #AI...
Meredith Shubel
2026-04-27 13:56
AI companies are entering the “find out” stage, moving past experimentation to delivering tangible value. After a renewal cycle, many firms now understand what it takes to secure contracts and provide real results. The focus has shifted from the novelty of AI capabilities to practical applications, especially in sectors like healthcare and law where mistakes have serious consequences. Key discussions are evolving as the industry acknowledges this new phase of AI development. 🔍🤖💼 #AI...
Ryan Donovan