Articles by Category: Industry_analysis

Agentic AI in observability: accelerating root cause analysis

2026-07-09 13:00
🚀 The rise of agentic AI is transforming IT operations and observability in enterprises. It enhances traditional monitoring tools by accelerating data analysis from system logs and observability metrics. This integration allows engineers to conduct deeper root cause investigations more quickly and efficiently. Thaddeus Walsh from Elastic emphasizes that agentic data acts as an accelerator, freeing up time for critical analysis. Understanding your data and processes is essential for leveraging...
TNS Staff

“The Switzerland of AI”: OpenClaw becomes a non-profit foundation

2026-07-09 12:44
🚀 OpenClaw has evolved into a non-profit foundation, marking a significant milestone in the open-source AI landscape. The initiative aims to empower users by allowing them to run AI agents locally on their machines, enhancing personal automation across various applications like WhatsApp and Slack. Chaired by Dave Morin, the foundation seeks to prioritize user control over AI, distancing it from corporate interests. For more insights, check out the full article! #OpenClaw #AI #OpenSource...
Paul Sawers

Meta says it caught OpenAI. One thing is missing.

2026-07-08 17:34
🚀 Meta's AI developments are in the spotlight as Alexandr Wang claims their model, "Watermelon," has matched OpenAI's GPT-5.5 on key benchmarks. However, details are sparse, and no specific benchmarks were provided for verification. This leaves the claim unsubstantiated. With recent layoffs affecting morale, the timing of these announcements raises questions. #Meta #AI #OpenAI #TechNews #Innovation
Janakiram MSV

Most enterprises will hand root cause analysis to AI agents within two years

2026-07-08 14:00
In the next two years, many enterprises plan to shift root cause analysis to AI agents. This change aims to enhance efficiency in managing complex IT systems. Currently, software engineers spend significant time analyzing logs and data to identify issues. However, this process is becoming increasingly burdensome. With the rise of generative AI (GenAI), 85% of organizations now utilize it for observability, with expectations for that number to reach 98% soon. GenAI allows for autonomous...
TNS Staff

“Nature is the most computationally efficient system we know”: How Refiant used swarm optimization to build a 10-million-token AI model

2026-07-08 13:00
Refiant has launched its 10-million-token AI model, Protea, using swarm optimization inspired by nature. 🌿 This approach mimics how ant colonies and other creatures efficiently solve problems, aiming to enhance AI's computational efficiency. Co-founder Dr. Viroshan Naicker emphasizes the need for more than just larger context windows, as many models struggle with memory limitations. The use of nature-inspired algorithms could lead to breakthroughs in AI inference and reduce common issues like...
Adrian Bridgwater

Coinbase runs 1,200 agents and just slashed its AI bill in half

2026-07-07 20:55
Coinbase CEO Brian Armstrong and Vercel CEO Guillermo Rauch are shifting away from single AI providers. Both leaders are designing systems to utilize multiple models, capitalizing on improved open-weight alternatives and cost efficiency. Armstrong noted that Coinbase halved its AI expenses while usage grew, thanks to strategies like defaulting to lower-cost models and task-based routing. Rauch emphasized the obsolescence of single-lab partnerships, highlighting a trend towards more flexible,...
Amanda Caswell

What Working the Cisco Live SOC Taught Me About AI, Detection, and Response

2026-07-07 17:58
At Cisco Live AMER, the Security Operations Center (SOC) showcased real-time security operations, integrating analysts and detection workflows. As a product manager, I explored how AI, Splunk ES, and XDR enhance investigation speed. Engaging with customers revealed common challenges in investigations, highlighting areas for improvement in detection and response products. This hands-on experience emphasized the importance of customer feedback in developing effective security solutions....
Logan Buntrock

Maximize Spectral Efficiency with AI-Native RAN and NVIDIA AI Aerial

2026-07-07 17:00
Unlocking the full potential of wireless spectrum is crucial for telecom operators. Over 30 years, over $240B has been invested in this resource in the US. 📶💰 NVIDIA's AI Aerial technology aims to enhance spectral efficiency through advanced algorithms, overcoming traditional compute constraints. Massive MIMO technology can now reach its full potential by effectively tracking users and managing interference. 🚀 This innovative approach focuses on GPU acceleration to optimize RAN performance...
Michelle Horton

Powering Partner Growth Through Skills-Based Talent Connections

2026-07-07 15:00
Transform your recruitment process with Cisco Talent Bridge! 🌐 This innovative platform shifts focus from traditional hiring methods to a skills-based approach. By integrating learning data and hands-on experience, it helps partners find the right talent quickly and confidently. Talent Bridge supports the entire hiring journey, ensuring a clearer connection between skills and job opportunities. Discover how to enhance your talent pipeline today! 💼✨ #CiscoTalentBridge #SkillsBasedHiring...
Lori Holloway

The Hidden Costs of Downtime: Q&A with Splunk’s Greg Leffler

2026-07-07 15:00
🚀 Splunk's latest report, "The Hidden Costs of Downtime," highlights the importance of networks in digital resilience. 🔍 In collaboration with Cisco ThousandEyes, the report reveals that 43% of downtime incidents arise from network-related issues. Public cloud failures are notably costly for organizations. 💡 Key insights emphasize the need for end-to-end visibility and the dual role of AI in managing downtime. #DigitalResilience #NetworkManagement #AI #ITLeadership #DowntimeCosts
Greg Leffler

The organizational iceberg: the invisible data breaking your AI agents

2026-07-07 14:00
When building data platforms for large organizations, key decisions often overlook "invisible data." This includes exceptions, undocumented knowledge, and context crucial for operations but rarely recorded. A recent audit revealed that many datasets were orphaned or redundant, leading to inconsistent decision-making. AI agents, while effective in processing data, struggle with understanding the reasoning behind decisions. Understanding this gap is vital, as traditional systems often lose...
Nitin Singhal

The Benchmark Meaning Gap

2026-07-07 13:10
🔍 In the article "The Benchmark Meaning Gap," researchers explore the limitations of coding benchmarks used to evaluate AI models. They highlight that while scores are straightforward, they often fail to reflect true model performance across diverse tasks. This discrepancy raises concerns about the effectiveness of current benchmarks. The team will present their findings at the DL4C workshop, focusing on better evaluation methods and the importance of ongoing benchmark maintenance. Stay...
Katie Fraser

How to kill the code review

2026-07-07 13:00
Traditional code review faces challenges in an AI-driven software development lifecycle. As AI tools accelerate coding, the effectiveness of code reviews is diminishing. Data shows a significant rise in code churn, incidents per pull request (PR), and review times. Notably, 31% more PRs are being merged without any review. While code review historically supported team alignment and standards-checking, these roles require different solutions. AI may assist with standards, but human input...
Ankit Jain

A new study just debunked the biggest fear about AI and open source

2026-07-06 21:26
A recent study from Peking University challenges fears about AI's impact on open source projects. Researchers analyzed 1,888 GitHub repositories using AI coding agents and found that newcomer participation remained steady, even as code complexity increased. While cyclomatic complexity went up by 3-4% and cognitive complexity jumped 11% in Python, these changes did not deter new contributors. Interestingly, the active contributor base continued to grow. However, the study focused primarily on...
Amanda Caswell

Microsoft, Google and Cloudflare just made 2029 the new quantum deadline

2026-07-06 20:20
🚀 Microsoft, Google, and Cloudflare have announced a significant shift in the timeline for quantum-safe technologies, moving the deadline to 2029. This change responds to government directives urging organizations to adopt post-quantum cryptography by 2030. Mark Russinovich from Microsoft emphasizes the urgent need for early action to mitigate risks associated with quantum computing advancements. The transition to quantum-safe cryptography is a multi-year effort, and planning early is crucial...
Adrian Bridgwater

Getting Claude Code to grunt in Caveman-speak might not save as many tokens as you think

2026-07-06 18:28
Developers are increasingly focused on the costs of AI coding tools. GitHub's Copilot now uses usage-based billing, while some startups report significant savings by switching AI models. 💻💰 To reduce token consumption, many are adopting a "caveman mode" for AI responses—short and direct answers with minimal filler. This approach aims to cut costs and improve efficiency. 🔍💡 For instance, Elastic's tool achieved a 63.6% reduction in tokens used, highlighting the financial impact of unnecessary...
Paul Sawers

Why most AI projects fail: It’s infrastructure and people

2026-07-06 18:19
🚀 AI projects often struggle to deliver business results, with studies showing a high failure rate—95% according to MIT NANDA. The main issues? Inadequate data infrastructure and a lack of personnel to manage production applications. Prototyping environments typically don’t meet the needs of large enterprises, especially in regulated industries. Flexibility and security are crucial for moving from prototype to production. Organizations must ensure their data management aligns with production...
Meredith Shubel

Palantir’s Alex Karp and Mistral’s Arthur Mensch agree: AI lock-in is coming for enterprises

2026-07-06 17:17
🚀 Palantir CEO Alex Karp recently discussed a partnership with Nvidia on CNBC, emphasizing concerns about the AI model industry. He criticized companies like OpenAI for overcharging and exploiting proprietary data. 📈 Similarly, Mistral CEO Arthur Mensch spoke on LinkedIn about the risks of closed AI providers gaining power over enterprises. Both leaders advocate for open-weight models and proprietary systems to counteract this trend. Their insights highlight the growing concern of AI lock-in...
Amanda Caswell

Unlocking Efficiency: Alcoa transforms mining operations at Amazon Port with URWB

2026-07-06 15:56
Alcoa has upgraded its mining operations at the Amazon Port using URWB technology. This enhancement ensures stable connectivity, significantly reducing costly downtimes and safety risks. Previously, brief network interruptions could halt operations for hours, impacting the entire supply chain. The new system offers reliable communication, enabling smoother logistics for transporting bauxite. #Alcoa #MiningInnovation #URWB #Logistics #Connectivity 🚢🔗💡
Rodrigo Linhares

Andrej Karpathy, Google and Garry Tan agree Markdown is the answer, but they’re not solving the same problem

2026-07-06 15:13
Andrej Karpathy's "LLM Wiki" aims to build personal knowledge bases using Markdown files for AI agents. 📚 Google has introduced the Open Knowledge Format to standardize organizational knowledge in Markdown, while Garry Tan's gstack provides a unique setup for engineering teams, also utilizing Markdown. 🔧 Each approach addresses different needs but highlights the growing importance of Markdown as a resource for AI. The focus is shifting from AI models to the knowledge captured in Markdown...
Janakiram MSV

Shifting AI from activity to outcomes in the year ahead

2026-07-06 00:00
New research from Elastic reveals that one in three Australian businesses exceeded their AI budgets last year, often due to insufficient data foundations. 📊 To achieve true business ROI, leaders must shift focus from measuring AI activity to measuring actual outcomes. Only 8% currently track revenue or cost savings linked to AI initiatives. 📈 Before increasing spending, it's essential to identify clear success metrics and prioritize foundational data work. This approach can prevent budget...
Source: Elastic Blog
Jeremy Pell

Microsoft, AWS and Anthropic are spending billions — and not on better models

2026-07-05 15:00
📢 Microsoft has announced the formation of the Microsoft Frontier Company, aimed at embedding 6,000 experts within customer organizations to enhance AI deployment. This initiative is backed by a $2.5 billion investment. AWS also recently committed $1 billion to a similar engineering organization, indicating a shift in the AI industry towards engineering resources rather than just model development. Microsoft's Frontier Transformation will focus on industry expertise and enterprise AI...
Janakiram MSV

10 moments that defined AI’s turbulent first half of 2026

2026-07-05 14:00
🚀 AI continues to dominate headlines in 2026, showcasing significant developments. The U.S. Commerce Department recently ordered Anthropic to take down its models but lifted the ban shortly after. The Pentagon also clashed with the company over military access to its AI models. Notably, AI firms like Anthropic and OpenAI are eyeing IPOs worth over $800 billion, pushing for infrastructure enhancements amid rapid model releases. Key moments include President Trump's executive order for AI...
Darryl K. Taft

The AI revolution will not be televised — it’ll be quantized

2026-07-05 13:00
The AI revolution is being driven by quantization, a process that compresses AI model weights for efficiency and affordability. In China, the commitment to open weights allows developers to customize and run models like Qwen and DeepSeek locally, enhancing their control over AI capabilities. These models serve as valuable tools in software development, aiding in tasks such as test generation and debugging, though they still require human oversight. #AIRevolution #Quantization...
Adrian Bridgwater

Why cheaper models alone won’t save your AI budget

2026-07-04 12:02
AI budget management is evolving as token consumption rises. 🤖 Engineers face challenges with high token usage per agent operation, leading to increasing costs. For instance, a simple task can consume up to 200,000 tokens when using multiple agents. To address this, teams are focusing on reducing unnecessary token transfers and optimizing workflows. Strategies include compressing context and routing tasks to more cost-effective models. Learn more about these solutions! 💡 #AIBudget...
Amanda Caswell

Hybrid Cloud Infrastructure: A Case for the Future-Proof, Organic Data Center

2026-07-02 23:46
🚀 Hybrid Cloud Infrastructure (HCI) is reshaping data center architecture by merging compute and storage into one system. This eliminates centralized network storage and enhances resource management. 🔍 The technology utilizes clustered nodes and distributed software, creating a shared resource pool for efficient operation. 💻 Insights from experts highlight the need for a deeper understanding of HCI's impact on future data centers. #HybridCloud #DataCenter #HCI #TechInnovation #Cisco
Goran Martić

“AI contributions are demoralizing”: Godot bans coding agents to save its mentoring model

2026-07-02 20:31
Godot Engine is updating its contribution policy to restrict AI-generated code in its repositories. This decision follows extensive discussions within the Godot Foundation, as maintainers face difficulties managing the influx of AI-authored pull requests. The Foundation emphasizes that code reviews are essential for mentoring future contributors, which is compromised when dealing with AI. While AI use is still allowed for simple tasks like code completion, new contributors will need explicit...
Paul Sawers

The Pulse: a new trend, smart model routing

2026-07-02 18:46
Exploring the need for intelligent router solutions in AI, Gergely highlights the growing trend of companies seeking to optimize costs in their engineering departments. 🤖💡 He identifies several vendors offering models that can automatically select the right AI model for specific tasks, potentially saving companies significant expenses. Notable options include Factory Router, Not Diamond, Prism by Augment Code, Model Router by Morph, and Weave Router. Each provides unique approaches to model...
Gergely Orosz

What comes after attention? This startup says it already knows.

2026-07-02 17:00
🚀 Subquadratic has launched its SubQ 1.1 Small model, which utilizes a unique sparse-attention mechanism to handle a 12-million token context window efficiently. Despite early skepticism, the company has released model benchmarks and is collaborating with design partners. Co-founder Alex Whedon emphasizes that their focus extends beyond sparse attention models to innovative architectures. The SubQ 1.1 shows strong results in long-context retrieval tasks, achieving near-perfect scores on...
Frederic Lardinois

Seeing what others miss: A conversation with Gigamon COO Gareth Maclachlan

2026-07-02 00:00
📊 Gigamon COO Gareth Maclachlan discusses the impact of the Gigamon-Elastic partnership on security. The collaboration enhances deep observability, enabling faster threat detection and effective Zero Trust enforcement. Their solutions allow security teams to analyze enriched network telemetry in real-time, improving visibility and response times. Together, they support over 4,000 clients, including Fortune 100 companies. 🔍💻 #CyberSecurity #DeepObservability #AI #ZeroTrust #NetworkVisibility
Source: Elastic Blog
Sunnie Weber

Cloudflare wants to build the economic layer of the AI web

2026-07-01 20:10
Cloudflare is evolving to support publishers in the AI-driven web landscape. They recently announced updates including crawler classifications and analytics tools to help publishers navigate changes in traffic caused by AI summaries. With their new Pay Per Use model, publishers can earn revenue when their content is featured in AI-generated answers. This approach aims to create a more sustainable economic system for content creators. #Cloudflare #AIWeb #DigitalPublishing #ContentEconomy...
Amanda Caswell

Elastic named a Leader in the Everest Group Enterprise Search Products PEAK Matrix® Assessment 2026

2026-07-01 00:00
🚀 Exciting news! Elastic has been recognized as a Leader in the Everest Group Enterprise Search Products PEAK Matrix® Assessment 2026. The assessment highlighted Elastic's significant market share among 16 evaluated providers. Their Elastic Search AI Platform excels in retrieval across both structured and unstructured data, ensuring security and compliance. Key strengths include a unified hybrid search pipeline that enhances relevance and supports diverse data types. This recognition reflects...
Source: Elastic Blog
Anish Mathur

Anthropic’s Claude Sonnet 5 system card says more about the future of AI than its benchmarks do

2026-06-30 20:37
🚀 Anthropic's Claude Sonnet 5 has launched, showcasing advancements in coding and reasoning. 📊 While benchmark results are highlighted, the 145-page system card emphasizes how AI agents operate autonomously and handle challenges like prompt injection and recovery from errors. 🔍 Key evaluations include malicious use and stealth behavior, indicating a shift towards reliable AI performance in real-world applications. 🛠️ Organizations will need new infrastructure to support these advanced agents...
Amanda Caswell

The infrastructure lock-in costing AI companies hundreds of millions

2026-06-30 19:04
The AI infrastructure landscape is shifting, as highlighted by Jim Keller, CEO of Tenstorrent. He emphasizes that optimizing for current models may lead to costly lock-in as needs evolve. AI is outgrowing the infrastructure built for it, requiring a rethink of hardware strategies. It's no longer just about the fastest GPU; balance and adaptability are key. Nvidia's new Vera Rubin platform aims to address these challenges with a multi-chip system designed for diverse workloads. #AI...
Amanda Caswell

AWS just put $1 billion into forward deployed engineers. Here’s why it matters for enterprise teams.

2026-06-30 15:02
🚀 Amazon Web Services is investing $1 billion in a new initiative called forward deployed engineering. This organization will place AWS engineers directly with enterprise teams to assist in building AI applications. 🤝 The goal is to provide hands-on support as AI projects transition into production. AWS has noted that customers prefer engineers embedded within their teams for better collaboration and expertise development. 🔗 These teams are already collaborating with various organizations,...
Amanda Caswell

IdentityServer4 is dead. Here’s what comes next.

2026-06-30 08:00
🚨 Big changes in identity management! Duende's commercialization of IdentityServer4 in December 2022 left many developers dissatisfied. In response, Rock Solid Knowledge (RSK) has forked the project to create Open.IdentityServer, an open-source alternative. This new platform aims to provide a free, supported path for developers without the pressure of immediate monetization. RSK emphasizes that open-source success comes from adoption first. The initial release of Open.IdentityServer was on...
Adrian Bridgwater

Your AI isn’t underperforming. Your data foundation is.

2026-06-29 00:00
New research highlights a critical issue for Australian businesses: many are misallocating their AI budgets by focusing on "tokenmaxxing" instead of enhancing their data foundations. 📊 While 80% of AI decision-makers recognize that high usage doesn't equate to productivity, only 8% track real revenue impacts. Many companies are reassessing their AI deployments due to insufficient returns. 📉 A strong data foundation is key. Yet, only 28% prioritize data readiness before AI deployment. As...
Source: Elastic Blog
Jeremy Pell

Pollen tried to remove my article about CEO Callum Negus-Fancey and CTO Bradley Wright, and Google is assisting with it

2026-06-28 00:40
In 2022, I reported on the decline of Pollen, an events tech company that faced serious issues post-funding. Despite raising $150M, Pollen laid off a third of its staff and failed to pay wages and vendors, leading to bankruptcy in August. The company's leadership, including CEO Callum Negus-Fancey and CTO Bradley Wright, faced significant criticism. A recent attempt to remove my article from Google highlights the ongoing efforts to erase this troubling narrative. 🔍✍️ #Pollen #BusinessNews...
Gergely Orosz

Greptile, Cursor, and Devin agree that agents should run their code. What they run it against matters.

2026-06-27 15:00
The tech industry is rapidly moving towards runtime verification for agent code. 🚀 Companies like Greptile, Cursor, and Devin emphasize that agents should not only write code but also verify it in real-time. Static checks alone are insufficient. By allowing agents to run their code before human review, efficiency increases and bottlenecks are reduced. 🔄 However, challenges remain, especially in ensuring that the runtime environment accurately reflects real system interactions. As the trend...
Arjun Iyer

Vibe slop is the symptom. Context debt is the disease.

2026-06-27 10:30
Engineers Armin Ronacher and Mario Zechner highlight a growing issue in coding: "vibe slop." This term describes inefficient and error-prone code generated through prompt-based tools. They warn that this can lead to increased compute and resource costs, affecting startups' sustainability. Additionally, Postman's CEO Abhinav Asthana introduces the concept of "context debt," which refers to the complex web of services and APIs that complicate development. This debt accumulates over time and...
Matt Burns