AI, Analytics, and Automation
Assess, deploy and leverage next-gen technology infrastructure and toolsets to supercharge internal processes and redefine customer experiences.
So You’ve Made the Leap to the Cloud. Now What?
Many companies who have migrated to the cloud fail to follow through with use cases to maximize the value of their investment. New business challenges require a new approach.
At Blanc Labs, we are experts at working with companies to realize the untapped value of their enterprise data with our AI, Analytics and Automation consulting practice.
Centers of Excellence
This is our approach to understand clients needs, develop a comprehensive process map of data flows, enterprise systems, stakeholders and process outcome requirements. The outcome of this engagement is a Process Engineering and Optimization plan that explores opportunities to refactor or streamline workflows, as well as areas where AI and Automation technologies can drive business efficiencies.
Unleash the potential of enterprise systems with Intelligent Automation (IA) and Robotic Process Automation (RPA). RPA, in combination with Artificial Intelligence (AI), Machine Learning (ML) and natural language processing, can dramatically increase efficiencies to your workflows by automating manual or repetitive tasks.
Harness the value of your enterprise data by deriving real-time business insights with our Data Science as a Service offering. Leverage advanced analytics to create predictive models and data sets to accelerate operational intelligence, predictive maintainance, risk management, consumer analytics and quality management.
Harmonize data into systems that comply with internal and external standards to meet regulations and enhance collaboration across business lines. We provide data governance and interoperability solutions for both financial services and healthcare. As a member of Financial Data Exchange (FDX), we are at the forefront of driving open banking and open finance in Canada. In healthcare, we have demonstrated expertise in HL7 FHIR and data informatics.
Companies that embrace cloud adoption will enjoy outsized ROI
AI, Analytics and Automation Sources:
²How many of your daily tasks could be automated? – McKinsey Global Institute 2015
AI, Analytics and Automation Insights
What is Artificial Intelligence and how does it relate to IDP (Intelligent Document Processing)?
AI (Artificial Intelligence) as it is used in IDP (Intelligent Document Processing) combines technologies like machine learning (ML) and natural language processing (NLP) to handle data extraction, document classification, and claims processing with ease. For example, AI can read and label information on documents, and even route them accurately without manual effort.
In banking, AI can be used to automatically classify mortgage documents, tax records, and pay stubs. It can identify the relevant customer for a specific claim and promptly route it to the right department for further action.
Once AI is integrated into the banking system, a lot of repetitive tasks can be performed efficiently, thereby boosting productivity and ensuring accuracy.
How does Automation improve the lending process?
An automated loan origination system enables you to streamline the entire loan process, covering everything from application submission to documentation, underwriting, and administration.
Automated loan origination systems incorporate a blend of intelligent document processing (IDP), robotic process automation (RPA), artificial intelligence (AI), and machine learning (ML).
By automating the loan origination process, lenders can address two crucial challenges: keeping the turnaround time in check and overcoming the need to find reliable specialists to handle the pre-underwriting process.
What is human-in-the-loop automation?
Human-in-the-loop is a hybrid model that combines the strength of automation with human decision-making to achieve optimal results.