In an interview with CIO Applications, Gabriel Martins Dias, PhD, Head of IoT and Analytics Manager at Semantix, talks about such experiences, and how his firm helps clients create their success through AI.
What are some of the prevalent challenges and trends in the AI field? How does Semantix work on fixing the shortcomings?
In today’s era, where AI significantly dominates every vertical, business decision-makers are leaving no stones unturned to implement the technology into their business. However, they still lack the technical prowess to implement and align AI in their business model. With multifarious structured and unstructured business data, ranging from picture and videos to emails and documents, companies want to track the information remotely. In addition, business owners want robust and smart solutions with cognitive back-office automation and features such as document digitalization, structuring, and information-based decision-making.
The answer to all these requirements comes in Semantix OpenGalaxy—Semantix’s ready-to-use end-to-end AI platform that provides a cloud-based prediction module to solve the client’s needs. We offer a catalog of AI-based solutions that are easy to implement in our client’s existing environment without performing a complete overhaul.
Our platform is equipped with AI algorithms to extract data from a client’s internal systems and from external sources, before converting them into actionable information
In a market so vast, what are the factors that differentiate Semantix from peers and competitors?
We, at Semantix, come with nearly a decade of experience in the field of data science and are now working to make that experience available to all our clients through a library of algorithms that can be implemented into their environment. What makes us unique is the fact that our algorithm’s accuracy is unperturbed by our client’s diverse requirements or business models. Our algorithms make it possible to extract data from a client’s internal systems and convert them into actionable information. And, since the solution is cloud-based, it can be easily implemented in the client’s environment, and put through continuous improvement. The updated solution is available to clients without requiring an upgrade process.
How do Semantix’s solutions cater to the requirements and challenges in different industries?
Our most substantial traction so far comes from the manufacturing industry, represented by their evolution towards Industry 4.0. Manufacturers use Semantix’s solutions to monitor their devices and predict failure. Our AI-based system can record performance degradation and alert the facility manager with insights in advance, allowing him to take proactive measures. Several organizations also use our solution to streamline their budget in the legal department. The platform uses the previous year’s expenditure on legal requirements to forecast the budget for the upcoming year. Also, the users can automate the registration of legal processes from the judicial data and determine the terms one needs to find in a contract and automate their extraction. In addition, we have customers from the financial and marketing verticals as well, who use Semantix OpenGalaxy to attain the best results by streamlining their expenditure.
What do you envision for Semantix in the next 12-18 months?
Over the years, Semantix has witnessed phenomenal growth, and now, we want to take the momentum ahead. Having serviced the manufacturing, telecommunications, and financial services segment, we now want to move deeper into healthcare and retail segments. Our investments will be directed toward making our platform available in several user and programming languages. We are also engaging with several data management and Industry 4.0 vendors to bolster the capabilities of Semantix OpenGalaxy into an end-to-end enterprise-wide solution, and we will be working more in this aspect in the second half of 2019.
To support the existing array of solutions, we will also add a number of services for different industries to ensure better customer experience and back-office operations. At present, we are allying with research centers, and their findings are being implemented into our products as much as possible, making a direct connection from the researchers to our AI library.