Artificial Intelligence - Designing the Future of Efficiency
Definition of AI: the theory and development of computer systems able to perform tasks that normally require human intelligence, such as visual perception, speech recognition, decision-making, and translation between languages. Examples: Siri, Netflix, Pandora, Credit Decisions, Underwriting, Customer Service, Payments, Quantitative Trading, Risk Management.
Integration of artificial intelligence related products for financial services institutions is becoming more important. AI is key to helping lower costs, increase productivity, and to drive the best customer experience. Currently, there is demand for artificial intelligence related products, but supply side is limited. Either the technology isn’t mature yet or the Companies don’t know where to turn for guidance.
BlackFin Group will provide the knowledge, resources and expertise to help guide you through maximizing the value of AI.
1. Strategy Planning
2. Solution Design
Find your competitive advantage with Robotics Process Automation.
Robotic process automation (RPA) is the use of software with artificial intelligence (AI) and machine learning capabilities to handle high-volume, repeatable tasks that previously required humans to perform. These tasks can include queries, calculations and maintenance of records and transactions.
RPA services offer increased operational efficiency, lowered costs, speedy business processes and a reduced count of full-time employees for mundane/ tedious tasks, amongst other benefits.
Cognitive Automation: Intelligent automation comprising of bots, that learn as they process, by observing people at work.
Workforce Management: Bots are a virtual workforce that can be controlled by the business operations team(s)
RPA Analytics: Bots yielding real-time process statistics & operational analytics for high process efficiency
Bots on Demand: Unmatched RPA scaling capabilities, that ensures ‘On-demand’ deployment of bots, at a short notice
RPA Infrastructure: Technology architecture & infrastructure needed for effective deployment of bots
Enterprise Automation: Automate any process(es) end-to-end, while improving ‘Human-Bot’ collaboration.