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DS По всем вопросам- @haarrp @ai_machinelearning_big_data - machine learning @pythonl - Python @itchannels_telegram - 🔥 best it channels @ArtificialIntelligencedl - AI @pythonlbooks-📚 @programming_books_it -📚 Реестр РКН: https://clck.ru/3Fk3zS

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📈 Análisis del canal de Telegram Data Science

El canal Data Science (@datascienceiot) es un actor destacado. Actualmente la comunidad reúne a 41 791 suscriptores, ocupando la posición 3 224 en la categoría Tecnologías y Aplicaciones y el puesto 15 220 en la región Rusia.

📊 Métricas de audiencia y dinámica

Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 41 791 suscriptores.

Según los últimos datos del 29 junio, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de -138, y en las últimas 24 horas de -23, conservando un alto alcance.

  • Estado de verificación: No verificado
  • Tasa de interacción (ER): El promedio de interacción de la audiencia es 6.03%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 2.45% de reacciones respecto al total de suscriptores.
  • Alcance de las publicaciones: Cada publicación recibe en promedio 2 520 visualizaciones. En el primer día suele acumular 1 024 visualizaciones.
  • Reacciones e interacción: La audiencia responde de forma activa: el promedio de reacciones por publicación es 0.
  • Intereses temáticos: El contenido se centra en temas clave como llm, агентов, api, октября, разработчиков.

📝 Descripción y política de contenido

El autor describe el recurso como un espacio para expresar opiniones subjetivas:
DS По всем вопросам- @haarrp @ai_machinelearning_big_data - machine learning @pythonl - Python @itchannels_telegram - 🔥 best it channels @ArtificialIntelligencedl - AI @pythonlbooks-📚 @programming_books_it -📚 Реестр РКН: https://clck.ru/3...

Gracias a la alta frecuencia de actualizaciones (últimos datos recibidos el 30 junio, 2026), el canal mantiene la vigencia y un amplio alcance. La analítica demuestra que la audiencia interactúa activamente con el contenido, lo que lo convierte en un punto de referencia dentro de la categoría Tecnologías y Aplicaciones.

41 791
Suscriptores
-2324 horas
-747 días
-13830 días
Archivo de publicaciones
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Although this challenge effectively boils down to good communication, this can be difficult within a single organization—let alone across the multiple organizations and partnerships that IoT initiatives often require to be successful. In this future post, I’ll share some examples to demonstrate how seriously you should take even the little changes. I’ll also offer some strategies for effectively communicating and managing these changes

Top Challenges to Successful IoT Initiatives — And How to Overcome Them In the past few years that I’ve spent in the IoT industry, helping to develop, deploy, and improve IoT solutions involving millions of sensors, I’ve learned that often the biggest hurdles to success aren’t technological. A Gartner study last year found that only 26 percent of surveyed companies were successful with their IoT initiatives. This is an abysmal statistic, but it doesn’t surprise me given the many I’ve personally seen—many of which are purely operational or organizational. Although many issues associated with IoT deployments aren’t technological, they’re equally painful and difficult to overcome. And if every organization has to overcome these challenges in a void, a 74 percent failure rate is likely to continue. But here at Leverege, we believe in openly sharing the knowledge and insights that we’ve gained through our extensive experience, because it’s this open sharing of knowledge that will help us all to move forward together, collectively amplifying our human potential. So in this series, I’ll be exploring the issues we’ve seen, with examples taken from our experiences, and how you can overcome similar challenges as you pursue your own IoT initiatives. Whether you’re a solutions provider building new solutions for clients, or you’re one of the organizations integrating IoT technologies into your current systems and processes, I hope this series of posts will equip you with knowledge and strategies that will help you to succeed. If you’re relatively new to IoT and the various technologies and terminologies associated with it, I encourage you first to read the Intro to IoT eBook I wrote. This is a comprehensive (but simple!) introduction to and explanation of many important concepts that I’ll assume readers know as I explore various challenges. I’ll save the in-depth exploration for future posts, but here are just a few of the topics to come: You Need to Associate We’re increasingly using sensors and devices to allow us to represent physical objects and their attributes digitally. For example, in asset tracking applications, you’ll likely have a tracker that’s attached to a given asset you’d like to track. The asset is the thing we want to track, but the tracker is the thing that’s capturing and sending data. Therefore, you need to know that this tracker is on this asset, which we call “association” or “pairing.” For most asset tracking applications, someone needs to manually associate a tracker to a given asset, and when you introduce a manual step, there are bound to be problems. From labeling issues during manufacturing to operational issues like employees simply not associating trackers to the assets, I’ll share some of the challenges we’ve faced with IoT Association and how you can avoid or overcome them. Little Changes Are Big Changes in IoT Initiatives The Internet of Things is often called “a system of systems,” and with good reason: successful IoT initiatives usually involve a combination of hardware, software, and connectivity, which is then tied into business processes and operations. Because of the complexity and systemic codependence, a simple change in one part of the system—or subsystem—can effectively break the entire system of systems. Let’s say that you want to make some changes to the firmware on your sensor/device to help reduce the battery drain, so you reduce the number of messages sent from the sensor/device per day. Great! You’ve just added on a few months of battery life! But unbeknownst to you, your IoT system uses the number of messages from the sensors/devices to flag when a sensor/device may be defective. After making this change, you suddenly have countless sensors/devices being flagged by the system as defective, which at best hurts user confidence and at worst means that the system itself doesn’t work (e.g. if defective sensors/devices are automatically prevented from being used).

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Architecting an IoT Solution with Google Cloud & LoRa FREE WEBINAR ON IOT CLOUD & CONNECTIVITY Feb 28th, 2019 2:00 PM EST Are you building an IoT solution? With the vast number of connectivity and cloud platform options available, designing, building, and scaling an IoT project can be a daunting task. Our team has been using Google’s Cloud IoT Core as build large-scale IoT deployments while also collaborating with the Google team, giving us deep, under-the-hood knowledge. We’ll share what we've learned building and rapidly scaling enterprise IoT solutions within the Google IoT Core ecosystem. Sign up for our free webinar. Let's build the future! - Learn how to choose the right IoT cloud platform based on your specific needs - Discover what we find useful about the Google IoT Core ecosystem - Learn more about the different modes of connectivity that work best in industrial settings, with a focus on LoRa - Absorb best practices for using GCP to build IoT solutions quickly and at scale Link for register: https://www.leverege.com/webinars/gcp-webinar

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