Egot Technologies

Edge computing refers to computing done at the location closest to a system’s data or its end user—where information is coming from or going to. Edge architecture allows processing to occur more quickly by reducing latency and lag. Edge computing architecture refers to a distributed computing model where data processing and storage occur closer to the … Read more

Edge computing can enable processing and filtering of IoT generated data closer to the devices, optimising bandwidth by ensuring that only data needed for longer term storage or analysis is streamed to a centralised management platform. Benefits of Edge Computing in IoT Edge computing brings computation and data storage closer to IoT devices, reducing the … Read more

Edge computing allows devices in remote locations to process data at the “edge” of the network, either by the device or a local server. And when data needs to be processed in the central datacenter, only the most important data is transmitted, thereby minimizing latency. Edge computing is a distributed computing paradigm that brings computation and … Read more

As AI becomes more powerful and efficient at researching a particular market and demographic, acquiring consumer data is becoming more accessible than ever. The biggest AI trend in marketing is the increasing focus on providing personalised services. AI for personalized services involves leveraging machine learning algorithms, data analytics, and automation to tailor products, services, and … Read more

Enterprise AI is the use of artificial intelligence (AI) to make business and manufacturing processes less manual, time-consuming, and prone to human error. Using enterprise AI platforms, many businesses across all industries are beginning to adopt AI at scale. Enterprise AI refers to the implementation of artificial intelligence (AI) technologies within large-scale organizations to optimize operations, … Read more

Generative artificial intelligence (AI) is a type of AI that can create new content, such as: text, images, music, audio, videos, conversations, and stories.  Generative AI models are trained on large amounts of data, and learn to produce responses that are likely to be relevant to given inputs. They can learn from data and generate new data … Read more

Better context: Multimodal AI analyzes different inputs and recognizes patterns. Thereby, leading to natural and human-like accurate outputs. Accuracy: Since multimodal AI combines different data streams, it can result in more reliable and precise outcomes. Multimodal AI technology is a groundbreaking approach that enables artificial intelligence systems to process and integrate data from multiple modalities, such … Read more

Multimodal AI is a type of artificial intelligence (AI) that uses multiple types of data, like text, video, audio, and images, to create content, make predictions, and gain insights. Here are some examples of multimodal AI:  Multimodal AI is being used in a variety of industries, including healthcare and robotics. Tech giants like Google, OpenAI, Anthropic, and Meta … Read more

AI-driven algorithms enable spacecraft to operate independently, executing complex maneuvers such as navigation, rendezvous, and docking without direct human intervention. This autonomy is crucial for missions to distant planets and celestial bodies, where communication delays make real-time control impractical. The AI revolution in space travel is a game-changer, transforming how we explore and understand the … Read more

A robot is a programmable machine capable of carrying out tasks autonomously, in the case of Robotnik, or semi-autonomously. On the other hand, automation refers to a broader concept that involves using technology to perform tasks automatically, without direct human intervention. Robotics and automation are two rapidly evolving fields that are transforming industries across the globe … Read more