Global Technology Solutions

You'd like to be able to use your magic wand to say "I want ..." to create a system capable of making informed decisions and adjusting to new information. In addition, if your system could learn its own self, it would be a dream. It's like a fairytale and it was to a point. Artificial Intelligence has made enormous advances in technological and scientific innovations across a broad range of fields. It is able to dramatically alter the way that civilian and military operations are conducted. Up to the present, only a few nations with massive army forces, like Russia, China and the United States, China and Russia can imagine achieving military dominance. There is a general acceptance of the concept of AI is, which is the computer or robots controlled digitally doing tasks that humans can do, there are different opinions about how this could be accomplished. In a period where data science is becoming the new norm in the field of computer science and is generally accepted

A functional AI model is built upon solid, reliable and dynamic data. It is difficult to build an efficient and valuable AI solution without having access to a vast and comprehensive AI learning data. We know that the project's complexity determines and influences the quality of the data. We aren't sure the amount of training data we'll need for the development of the unique model. These kinds of artificial intelligence depend on a procedure known by the name of Automatic Speech Recognition, ASR. ASR converts speech data into Text Dataset that allows humans to talk to computers and to be understood. The usage of ASR is increasing rapidly. In a recent study that was conducted by Deepgram in conjunction together with Opus Research, 400 North American decision makers from various sectors were surveyed about ASR implementation in their workplaces. 99 percent of them said they're now using ASR in some manner typically as voice assistants within mobile apps showing the techn

Let's take Amazon Go for example. You walk into any of the stores they have, install their app, walk around and choose what you like and then leave the rest and then walk away. It's that simple. There aren't any cashiers, lines, and nothing. Whatever you've bought and then left the store with will be charged to your account. What's that cool? Do you know what is required to develop these techniques? High-quality AI Training Datasets . Data is crucial in the creation of an efficient AI model that executes specific actions. But more crucial is the high-quality of the data. The use of transcription services businesses reduce time and costs. By transforming audio, speech and video recordings into the form of a text or electronic document, businesses can meet deadlines and stay focused on the primary goals. Important meetings and discussions are recorded and result in accurate records that can be used to send clients reports, offer trustworthy customer service, as well a

The conversational AI agents industry is expected to grow 20 percent year-over-year up to 2025 at the earliest. At that point, Gartner predicts that businesses that utilize AI for customer interaction platforms will improve operational efficiency by 25 percent. The worldwide pandemic has increased these expectations, and conversations with AI agents have been crucial to companies that have to navigate a virtual world and yet stay in touch with their customers. Conversational AI assists companies in overcoming the impersonal nature of digital communications by providing a customized personal experience to each customer. This is a paradigm shift in how brands interact and will definitely become the new norm even post-pandemic due to the success of the demonstration of concept. Making conversational AI for use in real-world scenarios isn't easy, but it's not impossible. Imitating human speech is a huge challenge. AI must take into account various accents, languages and colloquiali

Based on a poll that was conducted, a majority of companies have chosen chatbots as their primary AI application. By 2022, about 70% of white collar workers will use conversational virtual platforms as part of their routine tasks. Let's look at the variety of chatbots and AI and the reasons they're becoming increasingly crucial in the larger technological horizon. Are you curious about why the chatbots or virtual assistants get up after you say "Hey Siri or "Alexa"? It's because of Audio Transcripiton utterance collection, or triggers words that are embedded into the software, which activates the system when it hears the wake word. However, the entire procedure of making sound and utterance data isn't easy. It's a procedure that needs to be executed in the right way for the best outcomes. So, this blog will outline the process to making good utterances/trigger phrases that are compatible with your AI for conversation. Although conversal AI is now an

The future of transportation is autonomous vehicles. Many  companies are working on this technology, as you probably know. Google, Apple and Tesla are all actively developing and testing autonomous vehicles. Perhaps you have heard of Tesla, the company that develops and manufactures self-driving vehicles. A tesla may also be driving itself. It's fascinating to see cars drive by themselves. Have you ever wondered how these vehicles function? How do they find the right road conditions? Where are people, animals, breakers and other vehicles? The apple watch has a feature that allows you to take an ECG with an app. The data can also be used by doctors to monitor your heart health. This is amazing! It's amazing to think that a watch worn on your wrist could monitor your heart rate. Machine learning and AI can achieve all of these things and more. Artificial intelligence is having a growing impact on healthcare and this trend is unlikely to slow down. AI is a powerful tool that can b

Artificial intelligence is increasing. 90% of the most successful businesses invest in AI on a regular basis. Customers who are happy with the personalized experiences they get from brands because of AI are beginning to anticipate the exact quality of experience from every company and institution that they interact with. According to Accenture 92 percent of US people believe that better digital services will enhance their opinion of the government. This is why governments are keen to make investments in AI. The banking and finance industry has undergone significant transformations over the past few years. The past was when these industries were controlled by banks and financial service providers, which held control over the financial sector. But, things are shifting rapidly as new technologies like Artificial Intelligence (AI) are being developed in the financial sector to make it more intelligent and more efficient, as well as more durable. Artificial Intelligence has become an integr

We've all had open-ended questions on Alexa (or any other assistants to speak with). Are the nearest pizza joint still open, Alexa? Alexa What is the nearest restaurant that offers delivery free to my home? Perhaps something similar to that. Humans, as a species, are fond of open-ended questions in order to communicate with each other, but putting an informal question towards a computer might not seem to be an ideal idea. However, Alexa always provides the right answer. How? In our case the AI has to analyze the location, understand that the pizza shop is not in a city (as in the sense of a city) and then give an accurate response. Siri as well as Alexa are just two examples of trained voice or speech recognition software. There is the need for improvements when it comes to these methods. Businesses try to meet specific requirements because it is very unlikely that they will obtain a Text Dataset with all data for training. It is achieved through leveraging information about speech

Machine Learning is now an integral part in our daily lives. Whatever field we work working in AI is a part of. Machine Learning lets computers learn without having to be explicitly programmed. Let's look at it this method: Machine learning trains computers through Speech Datasets to perform what human beings do: learn from experiences. The field of machine learning can be described as a subject that is part of the larger area of AI. Are you aware of how police are able to track down criminals through the surveillance footage of CCTV? What happens when governments are able to trace huge amounts of people by using CCTV? What happens when police follow your movements around the city through digital methods? A group of teens who are causing trouble for those who are around them How can they be noticed? It's all Artificial Intelligence. Security cameras that incorporate artificial intelligence are among the latest technological advancements in the video market for surveillance (AI

Image Annotation is the process of labelling of images. It can be done with an identical label for all images or using different labels for each element in an image. Each project for image annotation starts by creating an image data. It's a kind of marking tool which highlights content or objects within the image by drawing an outline around the image. Image annotation is crucial in the creation of models for object detection, that are used in computer vision software. The process of sourcing data to build AI (AI) programs from open and free sources is among the most frequently asked queries we receive in our consultative sessions. Entrepreneurs, AI specialists, and tech entrepreneurs have stated that their budget is the major factor when choosing the best place to source data for their AI Training Datasets for training. Many entrepreneurs recognize the importance of having high-quality and contextual data on training to develop their courses. They are aware of the benefits relev

Artificial intelligence-powered security cameras are at the forefront of Speech Datasets collection for policing, traffic as well as health and safety, as more cities adopt technology for monitoring and sensing. There aren't generally accepted standards for utilizing the information generated by these devices, which causes concern over government surveillance particularly in the context of AI or analytics utilized to video data are becoming more commonplace. The predictions are starting to come to fruition. In the year 2018 The Massachusetts Institute of Technology announced plans to establish the first college in the country (backed by a projected expenditure of 1 billion dollars) which will focus on "educating the future bilinguals which includes people from fields such as science, chemistry, biology and history as well as languages who are also knowledgeable in the modern techniques of computing that could be applied to their fields." AI and ML strategies are constant

An image annotation can be performed for many machine learning models. A bounding box is used in picture annotations for computer vision applications. AI computers can use this box-type annotation to recognize items in the real world and learn from them when creating machine learning Speech Recognition Dataset . Rectangular shapes are created around an image or video frame using the bounding box annotation. This helps in object detection learning. Every ML Engineer hopes to create an accurate and reliable AI model. Data scientists spend almost 80% of their time labeling, augmenting, and analyzing data. The model's performance is dependent on the quality and quantity of the data it uses to train it. We have come across several questions and clarifications from our clients as we work with a variety of AI projects. We decided to make it easy for you to see how our team creates the gold-standard training data needed to accurately train ML models. Commonly asked questions As promised, t

The apple watch has a feature that allows you to take an ECG with an app. The data can also be used by doctors to monitor your heart health. This is amazing! It's amazing to think that a watch worn on your wrist could monitor your heart rate. Machine learning and AI can achieve all of these things and more. Computer Vision Datasets Data is essential to prepare machine learning models for computer vision projects and AI algorithms. Companies working on CV projects face many challenges. They need enough high-quality AI Training Datasets in order to train their algorithms. Over the past few years, many pre-labeled and pre-labeled data collections have been released by different companies. 1. ObjectNet -- The Best For Unbiased Data Bias is a major problem with pre-labeled CV data sets. Pre-labeled data sets for training CV models are often made from imperfect images taken from the internet. This creates bias in the final dataset. Researchers at the MIT IBM Watson AI Lab developed Objec