Below, learn how Improving has leveraged AI on recent projects and how we can help you with your own journey.
Machine learning is a cornerstone of Improving’s AI journey. We've used it to build predictive models, recommendation systems, and anomaly detection systems. Our machine learning models have played an instrumental role in enabling businesses to forecast sales, personalize customer experiences, and detect fraudulent activities. By learning from data, our systems can adapt and improve over time, providing long-term value to our clients.
An example of this is our Real Time Drilling Predictive Analysis for Anadarko, a top player in the oil and gas industry that was acquired by Oxy. Using machine learning and other emerging technologies, Improving created a way for the company to monitor and analyze drilling performance in real time, which was traditionally a time consuming and labor-intensive process.
Through an agile interface that could display key performance indicators (KPIs) within one minute of receiving data from the field, the project resulted in significant cost savings for Anadarko, including a $5,000 per well savings in connection time and a $300,000 savings in drilling time per well.
Neural Networks and Deep Learning
Improving’s work in neural networks and deep learning has pushed the boundaries of what's possible with AI. We've built systems that can recognize speech, translate languages, and produce original content.
These groundbreaking technologies have been instrumental in developing intelligent virtual assistants, automating translation services, and empowering content generation tools. By mimicking the human brain's ability to learn, our systems can understand complex patterns and generate creative solutions.
We have seen drastic rises of neutral networks and deep learning usage within the medical, agricultural, and online commerce sectors. Healthcare companies are using this technology to detect diseases, infections, and drug locations. Industries that involve physical labor are cutting down on accidents by distinguishing whether workers are safe while using heavy machinery. Improving has seen neural networks and deep learning deliver excellent results for our clients while cutting unnecessary costs.
Our expertise in AI extends to the development of expert systems, which emulate the decision-making ability of a human expert. These systems have been used in a variety of fields, from analyzing the distribution of oil and gas across a web of pipelines to predicting insurance claims trends. By encapsulating expert knowledge into a system, we've helped organizations make informed decisions quickly and accurately, even when human experts are not immediately available.
With 88% of companies planning to invest in robotics, we know how valuable they can be to a vast group of organizations. Improving has combined AI with mechanical design to create intelligent machines capable of performing complex tasks. Our client’s robots have been used in warehouses for automated sorting, picking, and storage.
Beyond the logistics space, manufacturing has seen the biggest impact of helping to create robotic control systems that increase productive output in hyper-clean environments. By automating repetitive tasks, we've helped organizations increase productivity, reduce errors, and improve worker safety.
Our journey began with computer vision, where we used AI to help machines interpret and understand the visual world. Improving has developed solutions for industries ranging from manufacturing to retail, enabling them to automate processes, enhance security, and improve customer experiences. For instance, we've built systems that can identify defects in products before they are shipped, and refining solutions that can track workers in a facility for safety and access tracking.
Fuzzy logic, with its ability to handle uncertainty and imprecision, has been instrumental in our projects. We've used it to build intelligent control systems for industries like banking and logistics. The systems that we developed can handle complex decision-making processes, even in the face of incomplete or ambiguous data, improving operational efficiency and reducing costs. Things like automation of account creation and onboard in the wealth management space, to analytics and decision-able insights in last mile logistics.
Natural Language Processing
Finally, our work in natural language processing (NLP) has enabled machines to understand and generate human language. We've developed chatbots that can handle customer inquiries, sentiment analysis tools that can gauge customer sentiment from social media posts, and text mining tools that can extract valuable insights from large volumes of text. By enabling machines to understand language, we've opened up new avenues for human-computer interaction.
Many of our customer’s journeys with Improving have been marked by innovation, dedication, and a relentless pursuit of excellence. Improving has harnessed the power of AI to solve complex problems, drive efficiency, and create value for our clients.
As we look to the future, we're excited about the possibilities that AI holds and are committed to continuing our venture as pioneers of this technology. We believe that the best is yet to come, and we're excited to be at the forefront of this technological revolution. Ready to start your AI transformation? Reach out to us today!