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Observability Journey Panel - Dell x TekStream
Join Dell Technologies, TekStream Solutions, and Grafana Labs for a candid panel on scalining observability. Learn how enterprise teams scale observability, balance centralized vs. decentralized models, and accelerate adoption. The panel explores challenges with culture, governance, tool sprawl, and how AI is reshaping monitoring and incident response.
Beyond Wearables: How Remote Patient Monitoring Shapes Care Delivery
The healthcare industry has entered an era where the boundaries between in-person visits and digital health interactions are becoming increasingly blurred. Remote Patient Monitoring (RPM) sits at the forefront of this transformation, enabling physicians to track, analyze, and respond to patient health data in real time. While wearables such as smartwatches laid the groundwork, RPM has moved beyond step counts and heart-rate alerts. It now serves as a critical pillar of value-based care, reshaping how medical professionals manage chronic conditions, enhance patient engagement, and improve clinical outcomes.
Delivering Healthcare from the Cloud: Best Practices & Pitfalls
The healthcare industry is undergoing a rapid digital transformation, with cloud computing at its core. Cloud-based solutions are reshaping how providers manage patient information, streamline operations, and enhance the overall quality of care. From AI EHR systems to medical practice management software and outsourced medical billing services, the cloud offers opportunities for growth, efficiency, and improved patient experiences. However, this shift also presents challenges that healthcare organizations must navigate carefully.
What Happened When I Put the Promise of MCP to the Test of Real Life?
Everyone is talking about Model Context Protocol (MCP). The promise – let models talk directly to systems instead of building endless glue code. I wanted to see how it can solve several existing challenges, both internally and for our customers. So, I ran two real-world projects: Both solutions moved beyond theory; they’re running in production today.
How Teams Are Using AI to Tackle Observability Challenges (2025 Survey Insights) | Grafana Labs
In Grafana’s 3rd annual Observability Survey, over 1,000 engineers and leaders shared their challenges — tool sprawl, complexity, rising costs, and nonstop alerts — and their hopes for how AI can help.
Synthetic Monitoring for Vibe Coded Apps: Why You Need It
Not all software is the product of rigid planning, extensive documentation, and carefully designed test pipelines. Some of it emerges in bursts of intuition, created by small teams or individuals who prioritize momentum over process. This is what many engineers call vibe coding: development driven by flow and creativity, where the goal is to get something working quickly rather than ensuring every edge case is accounted for.
Empowering an MCP server with a telemetry pipeline
This blog was authored by Jason Bloomberg, Managing Director, Intellyx BV Observability depends upon telemetry – the data streaming from various applications, services, and systems that indicate their internal state in real-time. Various tools consume such telemetry to enable both operational and cybersecurity tasks.
Refine Faces Flawlessly with AI Image Generator Editing
The refinement of the face has become very much necessary in digital images. Polished faces add impact whether it is professional headshot, social profile or artistic art. The classic editing techniques usually seem time consuming and demand professional skills. Some find it difficult to get natural outcomes without bending them. With the emergence of AI technology, this approach is altered. AnAI image generator is able to refine faces quickly, accurately and with a natural finish. This will be the future of non-surgical facial enhancement.
The Next Evolution of AI: Forget Smarter Models - It's All About the Data
It’s been a noisy summer in the AI world. Headlines have been filled with doom and gloom: For example, OpenAI’s ChatGPT-5 landing with a thud, and an MIT report claiming 95% of AI pilots are failing. For the sceptics, this is “proof” that AI is just hype. I don’t buy it. The MIT study looked at just 50 projects, a sample size so small you’d fail a basic stats exam for using it. And as someone who uses AI every single day, I can tell you the benefits are real.