Infoedge Technology
The Go-to Digital Transformation Partner

Digital transformation marks the overhauling of existing business processes to deliver value to customers and helps businesses to stay competitive. However, several companies fail to strategize this transition properly, subsequently making expensive, less informed choices. One of the biggest mistakes they make is in overlooking the fact that technology is usually conceptualized in an academic domain. This leaves them unprepared for the kind of “last mile” challenges that the real-world business landscape offers, which require them to be aware of technological limitations, physical resources (e.g., computing clusters), and robustness of the technologies/algorithms used. As such, problems start compounding, and the intended goal for digital transformation remains unachieved.

Having years of experience in IT, two entrepreneurs—Giancarlo Gava and Arcangelo Dellino—observed these challenges closely and embarked on a journey to offer highly innovative services that can help companies to digitally transform. They founded Infoedge Technology in 2016 to design, develop, and implement IT systems by focusing on big data, AI, data management, business intelligence, and business analytics.

Infoedge Technology has accumulated extensive knowledge in guiding its customers toward the “AI transformation.” They also provide consultancy both in terms of analytical skills (tracing the path from the “AS-IS” status to the “TO-BE”) and robust and scalable technological deployments of AI solutions. “We typically work with international clients that are already advanced in their path to digitalization. We help them amplify human potential by implementing AI solutions. Our mission statement is primarily two-fold: helping enterprises streamline internal processes (predictive maintenance, fraud detection) and bolster our client’s presence on the market by enabling them to serve their customers efficiently,” says Gava, the CEO at Infoedge Technology.

At the core of Infoedge Technology’s unique offerings lies its efficient team that combines experienced IT professionals and young graduates from the best Italian and international universities. “Such a balanced mixture increases the speed of action and enables us to serve our clients proactively,” says Antonio Branda, Operational and Customer Support Director, Infoedge Technology. Additionally, Infoedge Technology has partnered with leading companies in the IT industry, such as Microsoft, Tibco, SAS, Cloudera, AWS, and c3.ai, to bring the best-fit solution for every need of their clients. Branda continues, “the synergy between us, the universities, our international partners who provide us with a global vision, and our clients is the key to our success.”

With its unique team and partnerships, Infoedge Technology has catered to numerous clients with diverse needs, over the years. For instance, one of its clients was struggling due to the inefficiency of their recommendation platform—owing to the variance between the algorithm recommendation and the solution suggested by a consultant. The client needed digital solutions to reach customers effectively, increase the recommendation system’s accuracy through the implementation of AI/ ML solutions, substitute the human interaction with a more convenient and lean approach, and enhance their customer experience through a userfriendly web and mobile application.

To this end, Smart Portfolio Manager (SPM) demonstrated the feasibility of AI and ML algorithms within its client’s financial services, specifically in terms of customer risk/return profiling and portfolio allocation decisions. The project was planned by Infoedge Technology in sprints, following the Agile and iterative Scrum framework. At the end of each sprint, a review session was conducted to validate the results obtained and understand what could be done better in the next sprint. The SPM project was finally completed using the Microsoft Azure environment (Blob Storage, Databricks, ML Studio) for the development of ML models and RStudio for descriptive analytics. All the Machine Learning models of the SPM project have been implemented in PySpark. The three main libraries that have been used are NumPy (Numerical Python), Pandas, and SciKit-Learn, built on the top of SciPy.

This project also included different types of integrations. Particularly, various legacy data-sources, such as client registries, financial product registries, and historic consultancy data, were integrated into blob storage on Azure. The data was fed into Microsoft Databricks through the use of connectors that were developed ad hoc. Databricks helped in processing the data, combining it, and preparing it for the ML models that were integrated into Microsoft Ml studio to train the model and perform the predictions. Moreover, Databricks was also used to produce quantitative and statistical reports about the data collected on a dashboard and analyzed to uncover further insights.

The company also prides itself on another successful project that’s related to Data Quality Management Implementation. Infoedge Technology developed an innovative and customizable Data Quality tool to semiautomatically monitor the data input of an AI software, used to predict energy frauds. It is nowadays crucial for utilities to monitor their customer-related processes, such as energy consumption, payments, and many other aspects, in order to prevent frauds, which mine the utilities’ credibility and burden its balance sheet. Utilities thus plan on-field and financial inspection campaigns to discover fraudulent customer behaviors. These campaigns are planned upon ML and AI algorithms, which prioritize inspections based on predicted likelihood of frauds, leveraging on ML/AI software to reduce cost and improve the efficiency of such campaigns, since sample testing has proven to be highly ineffective and economically adverse. The project was planned by Infoedge Technology in sprints, following the Agile and iterative Scrum framework. It was then accelerated through the use of the Scala programming language on the Spark framework. Scala supports parallel computing, which boosted the calculation times required to generate the data quality reports. Other programming languages: Scala, Java, JavaScript, and software/tool: PostgreSQL, Hadoop, Hive, Oozie, Sping, IntelliJ, Spark, Tibco Spotfire, Jenkins. Through the project delivered, Infoedge Technology innovated the data quality service and process of the client. The innovation brought to the clients’ Revenue Protection program, in terms of data quality management, improved the accuracy and predictive capability of the AI/ML algorithm, and enabled flexibility along the process.

“Through the projects delivered by Infoedge Technology, the clients realized the potential benefits of AI/ML and Data Quality Management Implementation solutions, particularly in terms of algorithm innovation, improvement of the recommendation system accuracy,” says Francesco Lamaro, the Big Data & AI Lead at Infoedge Technology. He goes on to mention that in the coming years, the client will be able to reap several benefits, including cost-reduction by cutting down the number of front-office employees, introduction of multi-channel (web and mobile application) distribution possibilities, availability of the services 24/7, and finally, improved customer experience.

Such unimpaired instances of success always drive Infoedge Technology to hone its capabilities and serve customers better continuously. In 2019, Infoedge and Infoedge Technology founded the Consorzio Stabile Innovation2Technology – with operational offices in Rome, Milan, Turin, and Cosenza – to ensure greater efficiency and responsiveness to the growing needs and dynamics of the market by offering customers the technological skills and innovations to support and empower their business to the fullest.

Going the extra mile, Infoedge Technology has also signed the “Exit the pandemic with a new #GreenDeal for Italy” that manifests the company’s responsibility toward the nation. Striding ahead, Infoedge Technology will be partnering with multinational companies such as EY, DXC, CapGemini, and Indra to respond to the worldwide need for IT consultancy and innovative solutions of our clients. “Our company is guided by an osmotic and empathic system that is focused on the entire value chain, from the management to the employee and the customer, passing through the attention to the environmental impact,” concludes Gava.