Artificial Intelligence as a Service (AIaaS)
Healthcare AI Applications
BFSI AI Applications
Retail AI Applications
Manufacturing & IoT AI Applications
Artificial Intelligence as a Service (AIaaS)
GPUonCLOUD partners with customers to build artificial intelligence based solutions and helps in solving some of the unique challenges in various industries such as Healthcare, BFSI, Retail & Manufacturing.Planning & designing an appropriate AI/ML stack powered with effective & efficient parallel compute engines – is the key to solving unique challenges – leveraging next generation compute and developing targeted software solutions.
AI for Healthcare
Speed up clinical & diagnostic research, Provide Predictive and Prescriptive treatments to complex diseases, Fuel Biotech and Edge for demand supply
AI for BFSI
Enable Fraud detection, Lower credit defaults, Automate loan lending, Ease Algorithmic Trading, Target specific Insurance & Financial Advisory and Prescribe appropriate wealth creation advisory services
AI for Retail & Manufacturing
Enhance Customer experience by target marketing, Prevent product returns, Enhance supply chain management, Predict machine failures, Efficient Invoice processing
Industry leaders partnering with GPUonCLOUD to solve unique challenges in the Industry
Join us and solve unique challenges
AI for Healthcare – Skin Cancer Classification
Skin Cancers are common form of cancers in humans. Most of the skin cancers are curable, if detected during early stages. Conventional Biopsy method to detect the skin cancers, involves removing the skin sample and taking it through various laboratory tests – which is painful and time consuming. Clinically, it is difficult to differentiate the malignant melanoma and certain benign skin lesions due to various similarities.
The technological advancements in deep learning for skin lesion classification on dermoscopic images, removal of noise, segmentation, feature extraction, and correct classification leveraging neural network helps addressing the challenge.
Dermoscopic Image input
Input the dermoscopic image in its raw form
Noise Removal
Removal of image clutter, noise and filtration
Segmentation & Feature Extraction
Extraction into lesion & object features
Final Predication
Predication with data-driven approach, additional unknowns of the patient
A survey of pharma and life sciences experts showed that 44% were using AI in their R&D activities. The survey also revealed that AI majorly finds applications in preclinical phases of drug development.
AI for BFSI – Determine Creditworthiness for loan lending
Ideally loans are supposed to be processed & disbursed, basis the confirmatory prediction that the borrower – an individual or the business will payback it with applicable interest. In past, this confirmatory prediction is obtained basis the income, revenue streams along-with the liability and respective FICO / credit scores.
In todays digital world, individuals and businesses digital footprint provides additional real time inputs to predict the creditworthiness for loan lending instead of relying on – only the traditional credit scores and other point in time parameters.
Individual or Business Profile
Input data including Credit/FICO Score
Data Validation and Isolation
Genuineness of data leveraging digital footprint
Profile Risk Analysis
Analysis from 1000+ customer characteristics, default probability and other useful insights
Go or No-Go
Risk free recommendation to grant or denial from AI model
Innovations enabled by AI, has fuelled the Banking business for growth. As per the recent survey by a leading global management consulting company, banks that implement AI tools could help boost their revenues by 34% by 2022.
The industry 4.0 revolution in industrial technology has been evolving and is inducting significant meaningful value additions from manufacturers to the end consumers!
Watch out this space - more to come soon!
