CORTADO VENTURES
AI Beyond ChatGPT
How AI is being utilized outside of a generative context
When you hear the term “AI” (artificial intelligence), you might think of movies like Blade Runner or I, Robot. You also may have heard people speculate that AI robots will make a human workforce obsolete, but we disagree. Instead of replacing people, AI empowers employees to focus on higher-value tasks that require human thinking and intuition — something that can’t be replicated by artificial intelligence.
Lately, trending conversations about AI have been focused on a software called ChatGPT, a generative software that is growing in popularity and gaining new users every day. ChatGPT is an AI program created by OpenAI. It’s designed to understand and generate human-like text based on the information it has been trained on. ChatGPT can answer questions, help with tasks, and engage in conversations by drawing on its extensive knowledge base. (This paragraph was actually written by ChatGPT.)
AI has a multitude of uses across a variety of industries, and we’re only seeing the beginning of what it’s capable of. So if AI isn’t just generative text or sentient robots, what is it and how does it work?
De-Mystifying Artificial Intelligence
According to the Oxford Dictionary, artificial intelligence is “the theory and development of computer systems able to perform tasks that normally require human intelligence, such as visual perception, speech recognition, decision-making, and translation between languages.”
AI combines huge amounts of data with hyper-fast, iterative (repetitive) processing paired with intelligent algorithms. This allows the software to learn from patterns or features within the data. AI is a term that covers a wide field of applications and includes many theories, applications, and technologies. There are three main subfields of AI that influence how the software operates and learns.
Machine Learning
Machine learning (ML) enables computers to learn without being explicitly programmed. Machines learn from data and patterns to make predictions and perform tasks. This is like an educated guess based on large amounts of data. It uses trial and error to improve the outcomes and make more accurate predictions over time. A simple example of machine learning is the autofill feature in your Google Docs or text messaging software.
Neural Networks
Neural networks are part of machine learning and are named such because they imitate the structure of the human brain as it processes information. Each node receives input, makes calculations, and passes that onto the next node. Through layers of nodes and information. These networks power software like the facial recognition on your phone, as well as many other applications.
Deep Learning
Deep learning is named such because it relies on deep neural networks with many layers to process and understand complex information, learning hierarchies in patterns and features, and with each layer, can extract more accurate and abstract information. This enables programs to make more accurate predictions and perform complex tasks such as autonomous driving, speech recognition, and natural language processing (ChatGPT).
AI, IRL
Artificial intelligence is an exciting frontier that will create new ways of using technology to improve workplace tech, safety, and productivity. The possibilities of incorporating artificial intelligence are boundless, and current innovation around AI is thrilling. Here are just a few of our portcos that are using artificial intelligence to fuel the future of tech.
Oil & Gas
AI Driller has created a suite of software that utilizes artificial intelligence to increase output and lower costs by helping clients to optimize drilling operations. A current labor shortage in the industry makes this technology even more valuable as it helps compensate for the lack of personnel. It also features collison monitoring that makes sites safer and eliminates errors. With real-time insights and monitoring for individual drilling rigs available from anywhere in the world, AI Driller is making the industry faster, safer, and more efficient.
Senslytics is harnessing AI in a way that is novel and different from others in the oil and gas industry. Unlike traditional machine learning, the Senslytics model combines domain expert knowledge with dynamically selected data, allowing for robust, deterministic conclusions. This approach to ML doesn’t have the restriction or need for vast amounts of data and is referred to as a “data-light” approach to AI. Senslytics’ AI platform empowers engineers and energy professionals to prevent costly failures that were previously unpredictable, reducing risks and increasing decision confidence.
Transportation
Road Intelligence company moove.ai is harnessing ML with connected vehicle data. As a pioneer in Transport AI, they’re making the transportation of people and goods safer and greener.
The moove.ai technologies analyze data sets including connected vehicles, road data, real-time environmental and weather information, providing safety data and preventing accidents while optimizing routes. It has great implications for everyday drivers, and even greater uses for fleets.
Manufacturing
Software company oPRO.ai employs deep learning to automate the optimization of certain processes in manufacturing. This leverages time-series prediction and machine learning techniques to enable complex manufacturing operations to improve outcomes such as higher yields, lower energy use, reduced emissions, while creating safer and more stabilized operations. The user-centric software platform can be deployed without purchasing new equipment and can be implemented with existing hardware.
Wilder Systems creates precision robotics that are transforming aerospace manufacturing and maintenance. They are automating military and commercial aerospace tasks that are historically executed manually or with capital intensive machinery.
Manual manufacturing processes are slow, expensive, and prone to errors. Certain aspects of airplane manufacturing or repair are tedious, physically demanding, and require significant labor hours. This leads to high labor costs and significant turnover on a manufacturing floor. AI powered robotics enable manufacturers to deliver challenging customer commitments with high-quality, fast, and traceable work. This shift also redeploys skilled technicians to higher value tasks that are safer and require human intuition. Further, the automation of these operations reduces waste and increases quality while increasing manufacturing output.
The Future of AI
Artificial intelligence is here to stay and instead of replacing workers, it will supplement the human capital needed as technology advances. The speed and accuracy of decision making by AI allows for safer, more productive environments. This is a benefit to everyone.
The implementation of AI has a global impact, and we’re already seeing AI technologies impact the workforce and future of innovation. We’re proud to invest in these cutting-edge companies and others in the utilization of future technologies that positively impact people and our planet.
