Whether it’s an E-commerce Site With AI Bot or advanced image-classifying artificial intelligence to smartphones - AI & Machine learning rocks current data-driven world
Even for Image recognition | Data (Insights) extraction from large files | Large Document Summarization | Human brain mimicking & Neural network projects | Speech recognition & Language translation technologies | Fraud Detection | Churn management | Lending models by Fintech companies the need for AI & Machine learning is everywhere
So, the question is: how far you are prepared to incorporate high-end artificial intelligence into your business?
We can help you with
• Machine Learning Feasibility Studies
• Machine Learning Proof of Concept (POC)
• Machine Learning Project Requirements Gathering
• Machine Learning Simulations
• Machine Learning R&D
• Machine Learning Solution Verification | Validation | Stress Testing
• Machine Learning Capability Assessment (Reverse Engineering, Benchmarking, Refactoring)
• Machine Learning Team Construction and Development (Team member Role Design, Optimization)
• Machine Learning Architecture Review, Upgrade, Optimization
• AI Implementation
Our core team consists of high-experienced AI & ML Practitioners, Researchers, and Senior consultants with deep multidisciplinary technology expertise on Artificial Intelligence & Machine Learning, Strong domain-specific business acumen, a Well-connected network of industry contacts and intimate knowledge of current-market Machine Learning, Deep Learning & AI projects
Artificial Intelligence for Healthcare Applications | Gesture control Interfaces | Voice & Speech Recognition | ML & Wearable devices | Virtual Assistance | Predictive & Prescriptive Analytics | Forecasting models | ML in Automotive Industries | Emotion Recognition & sentiment analysis | Domain-specific Analytics like Fintech Analytics, Retail Analytics, BFSI Analytics, Healthcare Analytics, HR Analytics, Web Analytics,Sports Analytics, Marketing Analytics ,Social Media & Text Analytics
Talking about structured data as a customer’s name, date of birth, Organisation name, Designation, income, gender, status of employment etc; the whole of this data has all been nicely stored into several huge databases or data warehouses (Either Machine or human-generated ) are so-called structured data Whereas unstructured data can be from sources such as social media platforms such as Facebook, Twitter, Instagram, Youtube, Netflix ,Yelp, LinkedIn, Vimeo, Sound cloud & unlimited platforms like weibo, wechat (in various different formats like videos, images ,audios etc);
In this era, most importantly Internet of Things (IoT) which connected various objects; and not to forget public data such as data about weather, traffic (GPS data) , maps etc. Interestingly all of these together capture the information for more than two billion people relating to their friends' preferences and their other behaviors, thereby imprinting a humongous digital footprint across in the form of data.
Our credit scoring detailed analysis comes with few most categorized terms as Variety, Velocity, Volume, and Veracity. As Velocity, veracity, volume, and variety of data keep growing, the new opportunities to build better credit scoring models are also increasing.
Importantly, We have a high-class team (In terms of experience & delivery) who have been dealing with data from last 15-20 years ( esp on Analytics & BFSI industry) worked with various tools and predicted some tremendous suggestions which helped the organizations to reach incredible business objectives.
We help leading Fintech institutions to build up competence on Analytics, Machine learning, Artificial Intelligence as per Fintech Industry and help to Automate or Incorporate high-end Artificial Intelligence on loan decisions processes.
Below are the areas, we work with Fin-tech companies
1. Manpower consulting - We provide manpower support (Full time | Part time| Project basis) from our huge pool of Analytics, ML AI candidates across APAC ( The AI Talent )
Project-based consulting in below areas -
2. Reducing processing time
3. More & More Automation
4. Valuable Insights (Fintech Industry)
5. Custom-made AI
6. Credit Score check
7. Innovate Lending Process
8. Monitoring current on-going loans (going to be a bad loan or not)
9. Mentor & Team - Our team of experts along with our Mentor who have had plenty years of experience in Fintech industry
10. Competence Development plan as per Fintech Industry - Building competence in your team as per Fintech industry & make your Data-Scientists ready to fly
Claims forecasting & Predictive Analytics
Using data analytics to improve outcomes, Spotting high-risk claims through providing a range of severity scores & using a combination of rules, modeling, text mining, database searches, various other analytical tools along with plenty years of experience on Analytics, we help our customers on Claims Forecasting.
One out of 10 insurance claims is fraudulent
It costs the insurance industry billions of dollars annually. Based on a wide variety of data from multiple sources (exp. historical data and consumer trend analysis data ), We build and deploy predictive analytics models that detect the patterns of “atypical activity “which can again be predicted as “hard fraud” (e.g., Planted accidents) or “soft fraud” (e.g., stealing, Cheating etc) & predict future behaviour.
We build and deploy predictive analytics models that identify your customers most likely to defect, and targeting steps to prevent churn; also identify your customers most likely to have problems paying premiums, and targeting steps to improve the recovery of payments.
AI –Powered Conversational Chatbots - Does your chatbot smart enough to sense, think & act? If not, write to us.
Custom-made AI and machine learning models can give you remarkable insights & make high-value predictions for you & your good office. Our team have been incessantly working on few niche-area solutions (such as RISK model using ML for Auto/ Home/ other Insurance, Numerous automation scripts, cost-effectiveness on the marketing channels ) for a number of clients