Our expertise allows us to focus on solving our customers’ unique business problems by defining smart strategies and implementing next generation AI technologies.
Various forms of artificial intelligence are common today. As with any new technology, AI has shown up in every industry and its algorithms and applications power everything from voice-activated “virtual assistants” on most smartphones, to systems built to improve accuracy and early detection in medical diagnoses. It also increases the scope of industrial automation.
The AI Driven enterprise can automate business processes and consolidate multiple data points and data streams to formulate insights and predictions that will allow decision makers to make precise business decisions based on historical data and variables. Simply put, it will show what is going to happen next. AI has transformed how many businesses engage with customers and employees. We have implemented AI driven solutions for some of the largest companies in the world and are certain we can help meet your needs.
The key to Implementing AI Solutions areas planning and design. For AI, it is paramount that data sources are identified and cleansed to ensure accurate results for predictive learning. Proviniti takes a hands-on approach which uncovers all the data sources and recommends the best technology to implement. We are technology agnostic which allows us to identify the most cost effecting solution for your business. Assessing the impact of data sources, the ability to stream them and looking at the data itself is a core part of the design process.
In the deployment phase, Proviniti leverages our data scientist and expertise in back-end implementation, coupled with our award-winning UI/UX team to provide a turnkey end to end solutions to meet your business, compliance and User needs. Since we have vast experience in many different systems, we can smoothly integrate them into your environment.
Proviniti can provide Day 2 management. For some companies that will be in the form of blocks of hours to interpret data or build new algorithms or tweak AI applications, for some it might be management of the full system as an extension of your team.