Mobile VAS: Sony BMG
Sony BMG was looking to enter the market with a differentiated service that was unlike any other competitor offering.
• The approach taken by Mooga was seen as ground breaking and market leading.
• Mooga is currently connected in Argentina and being connected in other four South American countries.
• This is the first mobile music portal with intelligence in the market.
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Retail Bank Automation
The intelligent retail banking solution is a complete end-to-end web-based solution to provide retail services and also tackles issues related to risk management in retail banking.
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Online Fire and Safety Examination
Fire and safety at refinery site is prime concern of petroleum corporations. To control those usual way is provide class room coaching and on-site training, which may be a year long process in some corporations depending upon operational authority. Conventional method to check the safety understanding of candidate after coaching and on-site training is paper based testing. But manually it is not easier to track and maintain performance of candidate to decide access to refinery. The best way is to automate full process of training, examination, tracking and reporting.
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Business Intelligence for Mobile iVAS
Mobile value added business (VAS) of content download depends upon number of downloads. The number of downloads are directly affected if number of searching clicks are more. To increase revenue, customer interaction should be more personalized with reduced clicks and more conversion rate. This requires to serve right contents to the right user at the right time. iKen's adaptive technology precisely does that, by understanding every user's dynamic changing tastes and interests. Visit www.infinitemoco.com for live demo and SONY BMG Live case study.
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Using ES interfaces for C application
Converting legacy systems or console-based desktop applications into web-based application with modern GUI with minimal cost and time is a issue which can be handled with rule-based expert system.
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Well Work Reengineering
There are multiple opportunities in oil and gas domain for predictive decision support systems. These systems are useful at various levels for automation of predictions and decision to reduce cost and time.
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Borrower Evaluation Portal
In mortgage loan, the amount and time being more, and also due to worldwide economic crisis the number of defaulters are increased. Rule-based systems play a very important role in automating decision making process in mortgage loan processing. In an integrated mortgage portal having common interface many investors, insurers and services; each participating player can have its own decision rules and criteria for evaluating and sanctioning credit. Multiple rule-based expert systems can be developed and customized specific to each player's need to guide the borrowers and evaluate them.
Credit Rating: Evaluation and Prediction
A fast, reliable and accurate credit rating is one of the crucial and required process in retail. Key points for more business in hyper competitive environment is to process customers' credit demands and requests as fast as possible with minimal risk. This needs a framework to automate available domain expertise, 360-degree evaluation and assessment of customers. This case study demonstrates how a powerful AI-back end framework accessible through web services can help banks and financial institutions to quickly assess credit worthiness of customers from any where at any time using mobile devices in real-time.
Hybrid Intelligent Systems
The intelligent systems collectively have features like learning ability, adaptation to changes, explanation capability and flexibility in dealing with imprecise and incomplete information, etc. The limitations and strengths of individual systems is the central driving force behind the hybrid intelligent systems. By integrating the systems their strengths can be increased and weaknesses can be reduced.
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Why Intelligent Systems?
Other business systems automate business processes and deal with data while intelligent systems automate expertise and deal with knowledge. Intelligent systems facilitate to extract, acquire, represent, preserve, use and apply knowledge. Make it available not only internally but also externally. The major advantages: objectivity and consistency in decision making, preservation of valuable expertise, train new stakeholders, free experts from routine jobs, flexibility in managing business rules, etc.
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AI Matching Solution
Matching solutions backed by AI techniques matches requirements (criteria) v/s products, services or contents (like electronic gadgets, cars, resumes, customer profiles etc.) intelligently. It also matches products/content v/s products/contents to get products/contents etc. It helps to find out cluster having homogeneous (logically similar) products/contents/profiles based on input specification (or product/profile).
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Advanced Adaptive Technology
It is a powerful state-of-the-art recommendation, matching, discovery and personalization framework supporting many kinds of products, structured contents and generic transactions seamlessly and uniformly; based on social (collaborative) filtering, item (content and contextual) filtering, intelligent matching and on individual tastes. This framework works in real-time and is completely programmable, configurable and customizable based on products, contents and required functionality. This framework can be used as a part of retail solution (including e- Tailing), etc.
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Agriculture Applications
Most cited AI applications in agriculture are listed.
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Engineering Applications
Most cited AI applications in engineering are listed.
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