Artificial Intelligence (AI) uses artificial intelligence algorithms, techniques, and systems to create intelligent machines. AI software automates and amplifies human capabilities. AI is not just the future of marketing. It’s here now. So why don’t more marketers embrace the opportunity to capitalize on its real and immediate benefits?
AISUPERIOR is one of the only companies capable of deploying AI solutions. We use our Data-Driven Transformation Strategy to help you create the right foundation for your digital transformation. You can learn about the potential applications for AISUPERIOR AI by first consulting with us. Our approach is collaborative, so we’ll explore your unique business challenges and organizational goals.
Our human-centric approach to AI puts people and business first and technology second. We’re not just finding problems with specific technology – we start by understanding the real, human, and business challenges your organization faces. Using our co-creation methodology, we create an AI solution matched to your specific needs. This can be deployed in weeks, not months. For our Network Rail case study, see here. Using our broad range of capabilities, we help you identify the most appropriate approach to help you overcome the challenges you face.
What Do We Do?
We help you understand what AI can achieve within your organization and lay the right AI technology foundations to meet your needs both now and into the future.
AI (Artificial Intelligence) has been hailed as the next technological revolution, unlocking value in existing systems and infrastructure.
What are AI Solutions?
Artificial intelligence (AI) is a broad category that includes cutting-edge concepts like deep learning. Generally, artificial intelligence solutions are designed to bring human-like thinking to machines and have them perform tasks that we would naturally be good at but are extremely complicated to program.
Moreover, an AI agent can execute such tasks and achieve goals with efficiency and autonomy. There are many kinds of AI solutions: they can be grouped into general and narrow. This book is a must-read for anyone who wants to learn about Artificial Intelligence and is a good starting point to get you up to speed on the subject.
Intelligent machines are designed to solve broadly-defined problems intelligently. They have sophisticated cognitive abilities and a general experiential understanding of their environments. Today that might sound like a science-fiction scenario – but someday, it’ll become a reality. Artificial intelligence (AI) technology is already changing the world as we know it, and it’s becoming more powerful by the minute. Like Instagram, Pinterest uses software based on narrow AI for tagging images on its platform.
What data can you use for building AI solutions?
To develop useful AI applications, you need to train AI algorithms using diverse sets of data, for example, sets of images, texts, or specific information such as financial transactions or products viewed by users. If you don’t have time or expertise to do all of the work yourself, many resources are available to help you.
We need a large dataset containing both positive and negative examples to train machine learning algorithms. For example, if we want our algorithm to recognize the letter “O” in a word, we need to give examples of an O with and without it.
The developer or data scientist will run different algorithms before choosing the one that is best for their particular dataset. However, that’s not all. We also need to provide the developer with a test set – a dataset used to test the model developed based on the training data for evaluation, analysis, and improvement.
What is the future of AI and Machine Learning?
According to Gartner, “Artificial Intelligence and Machine Learning have reached a critical tipping point and will increasingly augment and extend virtually every technology-enabled service, thing, or application.” They predict that by 2022, AI will become one of the top five investment priorities for at least 30% of Chief Information Officers.
People use technology to increase their productivity and make their lives more convenient. Self-driving cars, robots working in factories, and smart cities are examples of the increasing use of technology. Artificial intelligence has made its mark in most industries and continues to spread to new industries.
Conclusion:
We’ve been working in different industries and on different types of projects. Our team is a group of AI software specialists ready to go a long way to find the optimal solution for your software projects. Every good partnership starts with a meeting. If you want to implement artificial intelligence in your app, don’t hesitate to contact us. We will be happy to talk to you. Together we can turn your idea into reality.
