Minsky AI Engine
By AI Labs
The world’s most easy-to-use proprietary enterprise grade AI engine that needs no data scientists or software developers to model and run predictions !
NexGenAi Solutions Pvt Ltd. is the offshore engineering division of Ai Labs, USA (www.ailabsinc.com). Our mission is to utilize Artificial Intelligence (AI) to execute tasks naturally associated with human intelligence, like speech recognition, decision-making, visual perception, and translating languages. To implement this we use machine learning, deep learning, NLP and neural networks or any branch of AI wherever required to perform complex tasks such as predictions, recommendations, anomaly detection and much more. Using our proprietary AI platform (Minsky) we provide custom end to end innovative solutions to drive business transformations resulting in smart processes and data driven decisions. In addition, we are setting new standards in the field of Robotic Process Automation (RPA) to automate time consuming, labor intensive process flows across various industry domains. We pioneered the process of incorporating RPA into our AI solutions for tasks such as data gathering and for Report distribution. With our head office in US and offshore engineering centers, we provide 24/7 support for Data Analytics, Development & Post Implementation support.
With the current Global requirements to use Artificial Intelligence for various applications and across various verticals it is extremely complicated and time consuming to develop an AI Solutions to make any predictions from a given dataset. This is because of the various possibilities that need to be considered such as programming knowledge, selecting the right Model/Algorithm (s) , selecting the correct data variables, selecting the correct historical data, performing the initial tests and finally for optimizing the models in order to achieve a high prediction accuracy.
Our MinskyAI Engine provides an easy 4 step process that allows you to easily test and model your data irrespective of the Industry type or data size and go live very quickly.
Using of AI Engine, we provide outcome based turnkey solutions, blending industry best practices & ideas to fulfill customers’ expectations. We help our clients to achieve organizational objectives & maximize their Return On Investment (ROI).
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Our AI engine Minsky is named after the great pioneer American Cognitive and computer scientist Marvin Minsky who defined AI as “the science of making machines to do things that would require intelligence done by human beings”
Just in 4 easy steps, you can easily model your historical data and produce results with real time data irrespective of the industry type and data size. Typical solutions can go live in less than a week!
In order to make any AI/ML/DL predictions, we need to start with the historical data that your business generates. In most cases the data might come from several disparate sources. [read more ]We simply ask you to relay that data to us and our engineers will sanitize this data in an established systematic manner that enables the customer to find a solution to the dilemma that needs to be solved. [/read]
Here we take the good values for all the weights and the bias from labeled examples. We then use the supervised/unsupervised learning techniques, where the selected algorithm(s) build a model [read more] by examining many examples and attempts to find a model that best fits your data for the required prediction. [/read]
An artificial neural network model is based on the calculation of linear formulas and activation functions with weights, biases (u.e. their “settings”) being adjusted with each calculation. [read more] This Model is built based on your historical data and used for future predictions. [/read]
This is the output of an algorithm after it has been trained on a representative dateset (historical data) and applied to the new data when forecasting the likelihood of a particular outcome.
User-Friendly, cloud-based AI platform
No coding skills are required for results or predictions.
Provides you a list of % dependency features that can be used to optimize your business
Ability to fine-tune or optimize the models by trying different algorithms/prediction attributes
Easy integration with other third-party solutions such as TABLEAU for data visualization
NexGen Ai provides custom AI solutions for Detecting Organized Insurance & Workers Comp fraud and providing Compliance. We use cutting edge Artificial Intelligence and Machine learning to analyze massive amounts of claim data.Our AI/ML Engine uses a Proprietary Algorithm to differentiate a fraudulent workers comp claim vs. a genuine claim. This allows the insurance company to save millions per year in fraudulent Claim Payouts.
In the comparatively AI-nascent field of healthcare, diseases are more quickly and accurately diagnosed, drug discovery is sped up and streamlined, virtual nursing assistants monitor patients and big data analysis helps to create a more personalized patient experience. Besides pure Healthcare, our AI engine is capable of screening diseases based on User Inputs for Symptoms and also recommends Physicians and Nutritional Supplements if needed.
Adding artificial intelligence to supply chains is delivering tangible benefits for companies putting it in place. Using historical data, our AI Solutions are capable of making intelligent supply and logistic predictions,Which can provide end-to-end visibility, actionable analytic insights, reduced manual human work, informed decision making. In addition, our AI Engine can be used for Equipment Predictive Maintenance that uses Machine Learning to learn from historical data and use live data to analyze failure patterns.
Using historical data combined with Real Time Weather and other Economic data, our AI Engine is capable of Energy Demand Forecasts and Energy Generation from Alternative Energy sources. In addition, AI can be used for Predictive Maintenance of equipment used for Energy Generation, Transmission and Distribution.
Our AI Platform can be used to improve the retention rate by predicting the employee attrition that allows you to decide on which employees are valuable and their retention is profitable to the company.Finally, the factors that influence the employee’s intention to resign from a company is found out and can be used by the HR departments.
Our AI Engine can be used to improve Customer Retention by taking pro-active actions as needed based on the customer profiles. In addition, combined with our Chat Bots can be used to place human-like calls to make appointments, provide Customer Service or Technical Assistance.
The objective of this project was to predict the weekly sales for a Retail corporation by store type, store location based on past data and future economic parameters like CPI, fuel price, unemployment. This helped the client to improve cash flow and manage the Supplydemand for the products sold. The future economic forecast data is collected from external sites and databases using Robotic Process Automation (RPA).
Allocation of power (to meet real time demand) between traditional power and alternate power has become a challenge worldwide. The aim of this project was to predict how much power is available from alternative energy based on geo location, temperature etc. This helped the client to make better decisions on utilization of other sources of energy.
Customer churn has created huge concerns in the highly competitive service sectors and especially in the telecomm sector. The aim of this project was to build a customer churn model using AI (Artificial Intelligence) to predict whether certain customers would leave in the future. This helped the client to retain customers for the long run which improved revenues and business continuity.
Typically, employee attrition is a major challenge for companies worldwide. The objective of this project was to predict employee attrition for a Multinational software-based company on parameters like Supervisor, wages, distance from home, tenure with company, travelling, overtime etc. This helped the client to make better decisions to curtail employee attrition rate. Current employee related data is collected from company’s internal databases / HR systems using Robotic Process Automation (RPA).
Globally, workers compensation Insurance fraud has become a major concern for all the insurance companies which is continuously increasing year by year. The aim of this project was to build an AI model in order to rate the claims so that the SIU teams can process the cases according to the risk levels. This could lead to significant savings by eliminating fraudulent claims. This led to improved revenues and business continuity in the long term.
The Client was a large Water Utility that needed to predict failure for their water pumps. AI Modes were generated for the equipment using historical data parameters for the pumps along with the past equipment downtime instances. Then, real-time equipment data was gathered from the remote equipment using IoT sensors and uploaded to our secure cloud.
The Client is a large innovative, knowledge-based energy and utility enterprise serving the Power, Water and Environmental sectors and provides IT solutions for Energy/Hydro industry. With offices in multiple countries, the HR Department handles various processes such as talent acquisition payroll processing etc. Each of these processes comprise of several activities that are repetitive and time consumingbut critical for employee satisfaction.
The Client is a large Power Distribution Company based in Europe where we provide 24/7 Software Maintenance Support from our remote engineering centers. We provide support for several applications such as SAP, MS Azure, Oracle, Primavera, eWay, IBM Integration Bus (IIB), Microsoft Business Intelligence, Websphere, Weblogic, Alfresco, etc. by Class of Service required (platinum, Gold 24X7, Gold 12X5, Silver, Bronze). Incident management is handled by ServiceNow (SNOW).
The Client is a large innovative, knowledge-based energy and utility enterprise serving the Power, Water and Environmental sectors and provides IT solutions for Energy/Hydro industry. With offices in multiple countries, the HR Department handles various activities such as on-boarding, termination, off-boarding etc. Each of these processes comprise of several activities that are repetitive and time consuming but critical for employee satisfaction.
NexGen Ai works with strategic and potential customers in a professional services capacity on a variety of applications and AI problems for both Cloud and Mobile platforms.
Our consulting services include:
Our Engineering team includes deep-learning/data-scientists, computer -vision engineers, cloud experts, simulation and systems engineers, and Enterprise Solution Architects.
Using our Powerful Minsky AI Engine, we completed the following sample projects (click here to request more information):
Using your historical data, we can build a proof of concept on our AI Platform and show you a sample demo at our expense!