In the financial sector, Artificial Intelligence and Machine Learning, are in the stage of maturity with complex solutions that generate a positive ROI in all business segments.
AI in Finance is transforming the way we interact with money, helping the industry to streamline and optimize processes ranging from credit decisions to quantitative trading and financial risk management.
Artificial Intelligence-based virtual assistants improve customer service response times and customer satisfaction. Machine Learning algorithms analyze the history of risk cases to improve the performance of the Fraud and Money Laundering industry. Efficiency of Compliance processes, automating and making secure data transfers on centralized platforms. Risk management at the highest level with AI that helps loan managers identify high-risk default applicants and those that are creditworthy. Automation digitization of the entire life cycle of the loan, traditionally manual and paper.
Thanks to these applications of Artificial Intelligence and Machine Learning, banking, insurance and fintech companies, top managers and financial groups are reaching very high levels of process automation, reduction of operating costs and, Assisted by decision support systems and predictive models, they can make better, more efficient and faster decisions.

Artificial Intelligence and Machine Learning are reinventing the Retail world. Retail is one of the sectors where the conversion of data into information has become a strategic asset to compete in the market. For Retail operators, it is now essential, to know perfectly their customers, their characteristics, their purchasing attitudes and their preferences. Only thanks to the algorithms of Artificial Intelligence and Machine Learning it is possible to reach the optimal levels required by the industry: take advantage of the Computer Vision in the stores, connect with customers, respond and assist customers as never before, optimize and automate the Customer Journey to achieve perfection and increase customer acquisition and customer retention. AI technology is the key to turn Big Data into real value. Like retail, the GDO sector also enjoys the enormous efficiency benefits brought by AI. Thanks to the solutions of Artificial Intelligence and Machine Learning it is possible to optimize the operations to the inside of the warehouses and the nodes of the supply chain, with totally automated managements of the inventories, to preview the question with infinitesimal margins of error, and at the same time optimise all aspects relating to stocks, storage, logistics and transport, and pricing. These are cutting-edge solutions to respond to the real problems and needs of an industry that is experiencing a real digital revolution led by AI.

With a massive amount of data, the industrial sector has exploited the introduction of artificial intelligence and has triggered a global transformation of productive activities. The aim is to develop and use information assets more efficiently, using intelligent technology to create value at every stage of production. The solutions offered with AI and Machine Learning within the Industry are really numerous and already very tested. Exploiting algorithms that have achieved the highest performance, it is possible to make factory automation more efficient, maximize the precision of preventive maintenance for each machine, improve quality monitoring thanks to Computer Vision. For new products it has been possible to reduce design times thanks to the possibility of being able to perfectly predict future market requestes, consumer demand and estimated revenue. This is possible by feeding the AI internal data on historical sales, consumption data, data on product life cycle, competition intelligence, market trends and social media. More generally, the use of AI and Machine Learning solutions will allow to reach absolute levels of excellence in process automation, in cutting costs, in predicting trends and programming production, in the control of life-product cycle, ensuring maximum quality and maximum yield, aiming at a virtuous cycle of increased revenues and market satisfaction.

Artificial intelligence simplifies the lives of patients, doctors and hospital administrators by performing tasks that are typically carried out by humans, accomplishing them in less time and at a lower cost. Failure and delay in diagnosis, misdiagnosis and lack of organisation in testing, leads to incalculable health, ethical and economic damage.The implementation of analytical-predictive models, based on historical archives and the experience gained on other patients with similar health conditions and pathologies, allows to predict the state of health of a patient with a fair precision, allowing the medical staff to act on time. These models can be used in medicine to improve prognosis, optimize the delivery of care or customize patient management and therapeutic choice. AI is also used to find new links between genetic codes or to drive robots that assist surgery. That’s why Artificial Intelligence and Machine Learning in Healthcare are among the most advanced and effective solutions; they are reinventing healthcare through a technology that can understand, predict, learn and save lives.

Marketing uses artificial intelligence technologies to make automated decisions based on data collection, data analysis and additional audience observations or new trends. As in other sectors, Artificial Intelligence delivers excellent results in terms of automation, reduction of errors, reduction of operating costs, increase of ROI and customization of the Customer Experience.
Artificial intelligence and machine learning systems learn, analyze and measure the quality of marketing strategies providing better services to customers. In addition to the analysis of marketing strategies, artificial intelligence can lead companies to identify their customer groups more precisely, allowing to develop accurate marketing strategies and carry out retargeting of customers who have already expressed interest in products or services. Artificial Intelligence-based models can boost activities at all stages in the sales funnel: in the discovery phase helping customers to find the product or service they are looking for, in the engagement phase identifying the best options for each customer and in the conversion and storage phases working on crowdsourcing data, purchase history, previous behavior, AI models and loyalty program membership. Artificial Intelligence and Machine Learning models can also help upsell/cross-sell products. Sentiment Analysis automates user feedback research and understanding through the application of NLP-based machine learning algorithms (Natural Language Processing), in addition allows you to predict future trends and provides consistent indications on the quality of services offered by increasing the Brand Reputation.