Automation
There’s a big difference between having data and making it work. Less than 20% of data generated by industrial companies is actually used, even less is analyzed and converted into actionable intelligence. This means up to 80% of data is simply lost as noise. FBL is changing that. We combine the power of industrial analytics and artificial intelligence into an enterprise-grade digital platform and suite. Our Natural language processing (NLP) technologies unlock the value of contextualized data through IIoT (Industrial Internet of Things), improving industrial productivity and operational excellence.
Natural language processing (NLP) is a branch of artificial intelligence within computer science that focuses on helping computers to understand the way that humans write and speak, a difficult task involving massive amounts of unstructured data. The style in which people speak and write is unique to individuals and constantly evolving to reflect popular usage, requiring contextual understanding via machine learning semantic analysis. Natural language understanding (NLU) is a sub-branch of NLP and deals with these nuances via machine reading comprehension rather than simply understanding literal meanings. The aim of NLP and NLU is to help computers understand human language well enough that they can converse in a natural way.
Digital Transformation
FBL Business Process Automation (BPA) services help power digital transformation for both SMBs and enterprise customers. Technology-enabled automation of complex business processes help to streamline business operations for simplicity, achieve the gains like service delivery or cost and quality measures. It consists of integrating applications, restructuring resources, and using software throughout client organizations. AI-powered robotic-process automation is an emerging field within BPA that FBL is working to pioneer.
Comprehensive Conversational AI
FBL is actively conducting commercial-grade R&D activities in Artificial Intelligence and Machine Learning Operations. Development is ongoing in Rich/Proactive Messaging, Free Text Inputs, Menu-Navigation, Prompts/Suggestions, Integrated Knowledge Search, Call Centre Automation, Business Data Integration, and Multilingual Customization. Natural language processing can be structured in many different ways using different machine learning methods according to what is being analysed. Advanced systems use machine learning algorithms for accuracy.
Transactional Intellimail
We are developing the means to scale and deliver email messaging companion tools that serve as AI-powered Autopilot and Copilot for intelligent inbox management capabilities necessary for commercial customer success use cases. The system allows for Ticket Tagging and Routing for customer queries, allowing for Agent Escalation and Customer Feedback when necessary. The AI crawls enterprise or CX knowledge bases to make Article Recommendations for customers, replacing obtuse FAQs while working alongside live service agent.
Subsystem Automation
FBL deploys automation tools over various control systems for operating interconnected subsystems or machines. Doing so at-scale helps to reduce human efforts and the time necessary to accomplish tasks, helping to dramatically increase accuracy and net productivity. The subsystem is where work is processed, where the system coordinates workflow and resource use. Our automation engineers design and service electromechanical devices and systems, high-speed robotics, and programmable logic controllers (PLCs).
Virtual Service Agent
We deploy companies adopt and deploy smart AI-powered virtual chat systems for employees and customers alike. A single virtual platform that can resolve customer and employee queries quickly and efficiently with knowledge discovery being the key differentiator. The system automates requests, provides 24/7 self-service, offers instant ROI with pre-built conversations, integrations, and configuration tools; and increases deflections and agent productivity by rerouting issues via chatbot which also reduces call centre volumes. Users can get what they need, when they need it, with an AI-powered conversational chatbot.