CIO Bulletin

Empowering innovators to shape the future through the adoption of AI and Data-driven solutions: Addepto

The increasing volume of business data triggers multiple challenges for companies regardless of their scale and industry. Artificial intelligence, Machine Learning, and Business Intelligence (or BI) can help tackle the challenge and convert raw data into actionable insights that decision-makers can easily comprehend and use in practice. The key is to create solutions that are actually aligned with their business logic and needs. And that is how Addepto works. The company delivers full-stack, end-to-end AI, Machine Learning, and Business Intelligence solutions tailored to the size, niche, and requirements of your company. Addepto always starts with establishing your bottlenecks, goals, and capabilities to make sure the project you are provided with can be used to improve your operational performance, reduce costs, minimize risk, and - at the end of the day - increase your outcomes.

Addepto offers unique AI consulting services that will help you realize how many opportunities come from implementing AI solutions into your business. Artificial Intelligence influences most industries, among the most popular are: retail, eCommerce, manufacturing, finance, healthcare, marketing, and gaming sector. Addepto may offer to you a variety of AI services, starting from an AI strategy roadmap to building a scalable AI infrastructure and production-grade AI solution deployment. Addepto uses advanced AI algorithms, such as Random Forest, XGboost, and Support Vector Machines (SVM). For tasks including Image or Text processing – Deep Learning algorithms are now very successful. Some of them are Convolution Neural Networks and Recurential Neural Networks.

Customized Data Science solutions for manufacturing

Manufacturing organizations are hardly an avant-garde AI implementation. These sectors are typically quite traditional and reluctant to embrace new technology trends, especially if they are not solid market-proven. However, things are – slowly but surely – changing. AI started to gain a well-deserved spotlight as it became evident that it is a safe way to increase the overall operational performance. Under the broad “Artificial Intelligence” term” are hidden plenty of different approaches are hidden able to cover specific manufacturing companies’ needs perfectly, regardless of how different they may be.

By applying automated sorting, counting, inspection, and packaging, computer vision solutions make quality control processes fully automated, and so more productive and cost-effective. Predictive maintenance uses sensor devices-driven data to detect anomalies in your operation and predict when the given asset will require maintenance. AI-based solutions that use intelligent sensors can be a very effective separation and sorting technology, which enable mining companies to make the most of every mining facility, increase profits, increase overall effectiveness, and – in general – improve operational performance. So-called smart sorting typically uses several technologies, IoT and deep learning included. Within these systems, AI algorithms, triggered by sensors, can be used to improve diverse mining processes.

AI-based solutions should be hailed the most for safety increment for both employees and equipment. Typically, there was a need for regular and thorough inspections, which was cost- and time-consuming. With AI-driven technologies such as IoT, computer vision, digital twins, and so on, mining companies are capable of skipping and accelerating the processes. With smart technologies, operators can remotely check the shape of the machines, vehicles, and other equipment; wearables sensors can detect, for example, the state of health and well-being of drivers on-site and monitor all the parameters underground. All of that helps to forecast potential hazardous/emergencies and avoid or reduce the risk of damages.

Mining companies can take numerous advantages from replacing manual labor with automation

First, when it comes to analysis samples, smart algorithms deliver more reliable results in a much shorter time compared to traditional methods.

Second – image recognition can automatically determine the type of discovered minerals saving time and effort for onsite workers.

Third – automated vehicles and network that consist of intelligent sensors significantly increase safety in work environment ultimately leads to cut costly delays in operational processes.

Artificial intelligence that shifts raw materials mining from a people-oriented operation to a process-oriented one is critical to upgrading accuracy, error elimination, and faster decision-making processes. Machine learning and computer vision make it possible to automatically determine the rock samples, and drilling data can examine the type of discovered minerals with the highest high level of accuracy. Reducing the amount of human labor (people no longer need to collect data physically) helps mining operators cut operational costs.

Mining operators can take advantage of embedded sensors. They can install automation tools to remotely control their assets and design automated-triggered scenarios and interactions that should occur under certain conditions. Specifically, Automated Guided Vehicles are gaining more and more recognition in the mining industry. Mining vehicles, drones, autonomous drilling systems, and hauling fleets simultaneously increase safety in the work environment and operations productivity. Automating mobile assets equipped with wireless sensors that can gather data reduces or removes the need for human presence on-site, leading to increasing workforce safety.

Moreover, predictive analysis and insights conducted by AI solutions such as remote sensors allow mining operators to foresee better and prevent any dangerous incidents. A sophisticated AI-based tracking system, enabled with wireless-connected devices, provides operators with the capabilities to coordinate workers and – if necessary – warn them not to go to certain areas.

The supply chain is a crucial success factor in creating a superb customer experience

No other factors could cover the last-mile disruptions preventing customers from getting what they paid for as soon as possible. A smooth and seamless supply chain increases the organization’s efficiency and improves customer satisfaction. However, typically the supply chain was also the most vulnerable stage of a business’s workflow because of the variety of factors that could potentially influence the whole process. AI, yet, could tame them by releasing potential bottlenecks. AI algorithms analyze the entire array of multi-sourced data (such as warehouse locations, product flows, demand forecasts, planning, scheduling of manufacturing operations, and so on) to enable businesses to establish the best possible process.

AI solutions in retail

Artificial intelligence (AI) over years of being considered just a buzzword is now having a real impact on the retail industry, in many cases deciding about “be or not to be” of companies. No wonder, today’s merchants collect massive amounts of data on transactions, interactions, and customers’ behaviors, that can be used in decision process improvements and keeping up with ever-changing consumers’ needs. With the old-fashioned, manual way of dealing with it, their efforts are, however, doomed to fail; yet AI occurred to be a “silver bullet” solution. Demand forecasting in retail includes analyzing numerous internal and external variables that impact demand -from seasonality to promotions and inventory levels to market trends. With it, retailers can more effectively improve stock management, reduce storage costs and prevent stock-outs.

Artur Haponik, CEO & Co-Founder