Explore the professional resume of Pramod Kumar, a skilled iOS developer with extensive experience in Swift, SwiftUI, and mobile app development. This portfolio highlights key projects, technical skills, and achievements in app design and development, showcasing expertise in creating intuitive, high-performance iOS applications. Ideal for recruiters and tech managers seeking a talented iOS engineer for their team.
Explore the professional resume of Pramod Kumar, a skilled iOS developer with extensive experience in Swift, SwiftUI, and mobile app development. This portfolio highlights key projects, technical skills, and achievements in app design and development, showcasing expertise in creating intuitive, high-performance iOS applications. Ideal for recruiters and tech managers seeking a talented iOS engineer for their team.
Rebuilding Cadabra Studio: AI as Our Core FoundationCadabra Studio
Cadabra Studio set out to reconstruct its core processes, driven entirely by AI, across all functions of its software development lifecycle. This journey resulted in remarkable efficiency improvements of 40–80% and reshaped the way teams collaborate. This presentation shares our challenges and lessons learned in becoming an AI-native firm, including overcoming internal resistance and achieving significant project delivery gains. Discover our strategic approach and transformative recommendations to integrate AI not just as a feature, but as a fundamental element of your operational structure. What changes will AI bring to your company?
Marketo & Dynamics can be Most Excellent to Each Other – The SequelBradBedford3
So you’ve built trust in your Marketo Engage-Dynamics integration—excellent. But now what?
This sequel picks up where our last adventure left off, offering a step-by-step guide to move from stable sync to strategic power moves. We’ll share real-world project examples that empower sales and marketing to work smarter and stay aligned.
If you’re ready to go beyond the basics and do truly most excellent stuff, this session is your guide.
Integrating Survey123 and R&H Data Using FMESafe Software
West Virginia Department of Transportation (WVDOT) actively engages in several field data collection initiatives using Collector and Survey 123. A critical component for effective asset management and enhanced analytical capabilities is the integration of Geographic Information System (GIS) data with Linear Referencing System (LRS) data. Currently, RouteID and Measures are not captured in Survey 123. However, we can bridge this gap through FME Flow automation. When a survey is submitted through Survey 123 for ArcGIS Portal (10.8.1), it triggers FME Flow automation. This process uses a customized workbench that interacts with a modified version of Esri's Geometry to Measure API. The result is a JSON response that includes RouteID and Measures, which are then applied to the feature service record.
A brief introduction to OpenTelemetry, with a practical example of auto-instrumenting a Java web application with the Grafana stack (Loki, Grafana, Tempo, and Mimir).
AI and Deep Learning with NVIDIA TechnologiesSandeepKS52
Artificial intelligence and deep learning are transforming various fields by enabling machines to learn from data and make decisions. Understanding how to prepare data effectively is crucial, as it lays the foundation for training models that can recognize patterns and improve over time. Once models are trained, the focus shifts to deployment, where these intelligent systems are integrated into real-world applications, allowing them to perform tasks and provide insights based on new information. This exploration of AI encompasses the entire process from initial concepts to practical implementation, highlighting the importance of each stage in creating effective and reliable AI solutions.
Agentic Techniques in Retrieval-Augmented Generation with Azure AI SearchMaxim Salnikov
Discover how Agentic Retrieval in Azure AI Search takes Retrieval-Augmented Generation (RAG) to the next level by intelligently breaking down complex queries, leveraging full conversation history, and executing parallel searches through a new LLM-powered query planner. This session introduces a cutting-edge approach that delivers significantly more accurate, relevant, and grounded answers—unlocking new capabilities for building smarter, more responsive generative AI applications.
Traditional Retrieval-Augmented Generation (RAG) pipelines work well for simple queries—but when users ask complex, multi-part questions or refer to previous conversation history, they often fall short. That’s where Agentic Retrieval comes in: a game-changing advancement in Azure AI Search that brings LLM-powered reasoning directly into the retrieval layer.
This session unveils how agentic techniques elevate your RAG-based applications by introducing intelligent query planning, subquery decomposition, parallel execution, and result merging—all orchestrated by a new Knowledge Agent. You’ll learn how this approach significantly boosts relevance, groundedness, and answer quality, especially for sophisticated enterprise use cases.
Key takeaways:
- Understand the evolution from keyword and vector search to agentic query orchestration
- See how full conversation context improves retrieval accuracy
- Explore measurable improvements in answer relevance and completeness (up to 40% gains!)
- Get hands-on guidance on integrating Agentic Retrieval with Azure AI Foundry and SDKs
- Discover how to build scalable, AI-first applications powered by this new paradigm
Whether you're building intelligent copilots, enterprise Q&A bots, or AI-driven search solutions, this session will equip you with the tools and patterns to push beyond traditional RAG.
Micro-Metrics Every Performance Engineer Should Validate Before Sign-OffTier1 app
When it comes to performance testing, most engineers instinctively gravitate toward the big-picture indicators—response time, memory usage, throughput. But what about the smaller, more subtle indicators that quietly shape your application’s performance and stability? we explored the hidden layer of performance diagnostics that too often gets overlooked: micro-metrics. These small but mighty data points can reveal early signs of trouble long before they manifest as outages or degradation in production.
From garbage collection behavior and object creation rates to thread state transitions and blocked thread patterns, we unpacked the critical micro-metrics every performance engineer should assess before giving the green light to any release.
This session went beyond the basics, offering hands-on demonstrations and JVM-level diagnostics that help identify performance blind spots traditional tests tend to miss. We showed how early detection of these subtle anomalies can drastically reduce post-deployment issues and production firefighting.
Whether you're a performance testing veteran or new to JVM tuning, this session helped shift your validation strategies left—empowering you to detect and resolve risks earlier in the lifecycle.
Plooma is a writing platform to plan, write, and shape books your wayPlooma
Plooma is your all in one writing companion, designed to support authors at every twist and turn of the book creation journey. Whether you're sketching out your story's blueprint, breathing life into characters, or crafting chapters, Plooma provides a seamless space to organize all your ideas and materials without the overwhelm. Its intuitive interface makes building rich narratives and immersive worlds feel effortless.
Packed with powerful story and character organization tools, Plooma lets you track character development and manage world building details with ease. When it’s time to write, the distraction-free mode offers a clean, minimal environment to help you dive deep and write consistently. Plus, built-in editing tools catch grammar slips and style quirks in real-time, polishing your story so you don’t have to juggle multiple apps.
What really sets Plooma apart is its smart AI assistant - analyzing chapters for continuity, helping you generate character portraits, and flagging inconsistencies to keep your story tight and cohesive. This clever support saves you time and builds confidence, especially during those complex, detail packed projects.
Getting started is simple: outline your story’s structure and key characters with Plooma’s user-friendly planning tools, then write your chapters in the focused editor, using analytics to shape your words. Throughout your journey, Plooma’s AI offers helpful feedback and suggestions, guiding you toward a polished, well-crafted book ready to share with the world.
With Plooma by your side, you get a powerful toolkit that simplifies the creative process, boosts your productivity, and elevates your writing - making the path from idea to finished book smoother, more fun, and totally doable.
Get Started here: https://www.plooma.ink/
From Chaos to Clarity - Designing (AI-Ready) APIs with APIOps CyclesMarjukka Niinioja
Teams delivering API are challenges with:
- Connecting APIs to business strategy
- Measuring API success (audit & lifecycle metrics)
- Partner/Ecosystem onboarding
- Consistent documentation, security, and publishing
🧠 The big takeaway?
Many teams can build APIs. But few connect them to value, visibility, and long-term improvement.
That’s why the APIOps Cycles method helps teams:
📍 Start where the pain is (one “metro station” at a time)
📈 Scale success across strategy, platform, and operations
🛠 Use collaborative canvases to get buy-in and visibility
Want to try it and learn more?
- Follow APIOps Cycles in LinkedIn
- Visit the www.apiopscycles.com site
- Subscribe to email list
-
Top 5 Task Management Software to Boost Productivity in 2025Orangescrum
In this blog, you’ll find a curated list of five powerful task management tools to watch in 2025. Each one is designed to help teams stay organized, improve collaboration, and consistently hit deadlines. We’ve included real-world use cases, key features, and data-driven insights to help you choose what fits your team best.
Providing Better Biodiversity Through Better DataSafe Software
This session explores how FME is transforming data workflows at Ireland’s National Biodiversity Data Centre (NBDC) by eliminating manual data manipulation, incorporating machine learning, and enhancing overall efficiency. Attendees will gain insight into how NBDC is using FME to document and understand internal processes, make decision-making fully transparent, and shine a light on underlying code to improve clarity and reduce silent failures.
The presentation will also outline NBDC’s future plans for FME, including empowering staff to access and query data independently, without relying on external consultants. It will also showcase ambitions to connect to new data sources, unlock the full potential of its valuable datasets, create living atlases, and place its valuable data directly into the hands of decision-makers across Ireland—ensuring that biodiversity is not only protected but actively enhanced.
Bonk coin airdrop_ Everything You Need to Know.pdfHerond Labs
The Bonk airdrop, one of the largest in Solana’s history, distributed 50% of its total supply to community members, significantly boosting its popularity and Solana’s network activity. Below is everything you need to know about the Bonk coin airdrop, including its history, eligibility, how to claim tokens, risks, and current status.
https://blog.herond.org/bonk-coin-airdrop/
FME for Climate Data: Turning Big Data into Actionable InsightsSafe Software
Regional and local governments aim to provide essential services for stormwater management systems. However, rapid urbanization and the increasing impacts of climate change are putting growing pressure on these governments to identify stormwater needs and develop effective plans. To address these challenges, GHD developed an FME solution to process over 20 years of rainfall data from rain gauges and USGS radar datasets. This solution extracts, organizes, and analyzes Next Generation Weather Radar (NEXRAD) big data, validates it with other data sources, and produces Intensity Duration Frequency (IDF) curves and future climate projections tailored to local needs. This presentation will showcase how FME can be leveraged to manage big data and prioritize infrastructure investments.
FME as an Orchestration Tool - Peak of Data & AI 2025Safe Software
Processing huge amounts of data through FME can have performance consequences, but as an orchestration tool, FME is brilliant! We'll take a look at the principles of data gravity, best practices, pros, cons, tips and tricks. And of course all spiced up with relevant examples!
FME as an Orchestration Tool - Peak of Data & AI 2025Safe Software
Ad
COBOL Programming with VSCode - IBM Certificate
1. J un 6, 2025
VICTOR MAESTRE RAMIREZ
COBOL Programming with VSCode
an online non-credit course authorized by IBM and offered through Coursera
has successfully completed
Jeff Bisti
IBM Z Ecosystem Architect
Verify at:
https://coursera.org/verify/PS22OB0Y5A6G
Cou rsera h as con firmed th e id en tity of th is in d iv id u al an d
th eir p articip ation in th e cou rse.