Plain Concepts

Debido al éxito de las ediciones anteriores, repetimos una vez más el evento “Copilot: Gobierno y Protección de la información en el contexto de la #NIS2”, esta vez de forma presencial en colaboración con CECA MAGÁN ABOGADOS y glueckkanja AG. ✅ Cómo esta poderosa combinación eleva nuestra productividad y también fortalece nuestro compromiso con la #seguridad y el cumplimiento normativo. ✅ Cómo esta integración no solo protege los #datos, sino que también potencia la productividad y la innovación dentro de #Office365, todo ello alineado con los principios de NIS 2. Juan P. Ingrid González Juan Jose Fernandez Perez Manuel Garcia Gonzalez ¡Te esperamos el 23 de octubre! 👇🏽

I would like to talk about a term called #Effective #AI. AI has rapidly evolved over the past years, transforming from a futuristic concept into a practical tool in numerous fields. However, the key to AI’s success lies not only in its technological aspect but also in its effectiveness in solving real problems and generating tangible benefits. It has advanced so rapidly that we do not stop to think about the number of real problems in product development that this technology already solves today, problems for which there was no a good solution just 3 years ago. A small example could be the text correction and translation of product manuals. Nowadays, it is easy and cost-effective to handle this task for all the documentation generated around a product. I’m sure everyone has encountered a product manual with poor corrections or awkward expressions in a specific language at some point. With this in mind, last weekend, I wrote a small Python script that could analyze all the markdown files in a folder, pass all the content to ChatGPT-4o to improve the language, but without changing other elements like code blocks, data tables, or URLs. This week, our Plain Concepts #Research team applied it to all the Evergine technology documentation, and the result was amazing. With minimal changes to the script, we can now translate all the documentation into other languages at a minimal cost. This is something we could potentially include in the continuous delivery pipeline. Here is the script in Python, in case someone else finds it useful: https://lnkd.in/de4jGihf And here you can check the improved result using AI to avoid errors or awkward expressions: https://lnkd.in/d7a7eXaU

We focus on the #DigitalTwin, with an approach based on 3 pillars: Acquisition, Understanding, and Visualization. Within these pillars, we look at different interrelated capabilities, techniques, and enabling technologies that act as building blocks to conceive the Digital Twin. Our vision of the Digital Twin envisages collaboration with different actors that support us in achieving it. We have an ecosystem of carefully selected partners that enable us to empower and accelerate the creation of the different building blocks that make up the Digital Twin. 👇

El ecosistema del #dato ha evolucionado desde la llegada del #BigData, marcado por el aumento de datos no estructurados que forzó a las organizaciones a reconsiderar sus Data Warehouses tradicionales. Actualmente, es crucial extraer insights de estos #datos y lograr un particionado adecuado, además de optimizar los motores de cómputo para mejorar la eficiencia. Hace unas semanas tuvo lugar el webinar sobre #MicrosoftPurview para Data Governance, así como sobre herramientas clave de la arquitectura de datos como #Databricks, #Snowflake y #MicrosoftFabric. ¿Quieres acceder a una ventaja competitiva mediante la gestión integral de tus datos, y ahorra costes mediante la incorporación de Intel® Tiber™ App-level optimization? ¡No te pierdas la grabación! 👇 Alberto Alonso Marcos https://lnkd.in/dCtDEd5U

Depth estimation is a critical technology for a variety of applications, including 3D reconstruction, navigation, AI-generated content, augmented reality (AR), virtual reality (VR), autonomous driving, robotics, obstacle detection, path planning, and surveillance systems. Plain Concepts Research team is continually exploring innovative ways to enhance AI model performance across diverse platforms and hardware while minimizing resource usage. Recently, we've been working on an improved version of Depth Anything v2 https://lnkd.in/dJZeJKkg . This new version aims to overcome previous limitations, offering robust and detailed depth predictions. To optimize the model, we started with the smaller version (25 million parameters) and exported it to ONNX. We then quantized the model using the Optimum library. Our latest demo showcases the optimized model running in a local web browser with transformers.js and WebGPU, making real-time inferences using an Intel Corporation Arc A770 OC graphics card. #AI #DepthEstimation #AR #VR #AutonomousDriving #Robotics #MachineLearning #Innovation #Tech

We are excited to announce the new release of #Evergine! 🚀 This is our first major update in 2024. Originally planned for February, the release was delayed as we focused on developing custom features for some of our customers. We appreciate your patience and apologize for any inconvenience this may have caused. What’s new? ➡ New Net 8 templates ➡ Officially support for Quest 3 ➡ Nested Prefab, New Prefab Editor and Prefab code generation ➡ Image loaders now use SkiaSharp ➡ New GTLF Draco compression support ➡ New Evergine Runtime libraries ➡ MRTK and XRV improvements (new components and improvements)

We’re excited to announce the latest release of #Evergine, marking our first major update of 2024! Our focus is on integrating top feature requests from the industry, and this release is packed with enhancements: ▪ New Net 8 templates ▪ Officially support for Quest 3 ▪ Nested Prefab, New Prefab Editor and Prefab code generation ▪ Image loaders now use SkiaSharp ▪ New GTLF Draco compression support ▪ New Evergine Runtime libraries ▪ MRTK and XRV improvements (new components and improvements) Discover all the details! 👇

Over the past six months, our company has made remarkable strides in #innovation and growth. This period of expansion has strengthened our capabilities and positioned us for even greater success. We've welcomed 82 new team members, with the majority joining our Services department, and several new additions to our Sales and Operations teams. 🙌 Nowadays, we are 500 employees from 17 different nationalities. We will continue to grow and hire talent that will help us achieve new goals and fulfill our plans for international expansion! 🚀

At Plain Concepts, we are dedicated to pioneering innovative research that meticulously designs human-AI interactions and experiences, enhancing and expanding human capabilities. Our mission is to create superior products, delight our customers, and contribute to a society with an elevated quality of life. We take an interdisciplinary approach that includes researchers specializing in this human-computer interaction, data visualization, design in the context of #AI, security analysis, and more. 👇

¡¡Muchas gracias a Plain Concepts por invitarme un año mas como speaker y formar parte de la #dotNET2024!! 👏 Este año he tenido la suerte de contar con la compañia de Moises Marin y compartir con los asistentes como hacer "Innovación Responsable: El Papel de Azure AI" Por supuesto, fue un lujo poder compartir experiencias y retos con el resto de ponentes y clientes. Muchas gracias a Nacho Albert López y Amaia Zamalloa Gallo por contar conmigo, el cuidado de todos los detalles y por hacerme sentir siempre como en casa. Es un placer colaborar con vosotros. Nos vemos pronto!!! 😘