Artificial Intelligence & Machine Learning

AITACS is a leader in Data Analytics and AI services. Our expert data scientists team come from various domains such as Finance, Telecom, Pharma and Academia and can help translate clients’ requirements into AI solutions that bring about insights hidden in their data. Our AI approaches use both classic Machine Learning models as well as advanced Neural Network models using Deep Learning techniques. We also have expertise in providing Business Intelligence and Data Visualization solutions. Agility, nimbleness and fast time-to-market is deep rooted in AITACS’ culture which helps our clients realize solutions expeditiously to meet business needs in a timely manner.

Artificial Intelligence is the success mantra of current digital revolution and is treated as the backbone for future innovations. Every business vertical benefits from AI solutions, be it from predictive modeling, recommendation engines, anomaly detection and text analysis or image recognition application. AITACS has many years of experience on how to apply AI tools and technologies in a practical way that benefits the customer in an accelerated manner within their budget constraints. Our expert AI team designs robust solutions which best fits customer scenarios and addresses business complexities. At AITACS, we always think from the customer’s perspective.

Our Areas of Expertise:

Image, Video and Text Processing and Analytics

Automatic image tagging can enable retail businesses in shelf inventory management, and notify staff of reshelving. Image similarity search, object recognition and image classification can help customers search business’ inventory for matching or similar products while facial recognition of customers can help businesses connect with customers online on social media platforms. Tools used: CNNs, Object Localization, Bounding Box Proposals, Image Search, Image Identification and Tagging, ResNet, VGGNet. 

AITACS has experience designing deep learning models for image recognition, classification and can help businesses grow by leveraging the power of automatic image processing. We can closely work with clients to help with AI use cases that involve image and pattern recognition problems.   

AITACS has the capabilities to

• Help strategize the approach to image recognition problems                                 
• Help translate business objective to analytic goals for the image recognition problems
• Build proof of concept solutions
• Build, develop and train model 
• Deploy and maintain models in production environment 

Natural Language Processing and Semantic Analysis

Natural Language Processing (NLP) capability provides powerful tools to stay competitive in the core business as well as to monitor online reviews of firm’s products and services in an automated and streamlined fashion. Designing and implementing Chatbots, automated query answering services, processing and parsing through volumes of texts to extract structured content, performing sentiment analysis are just some of the areas firms can outshine their competition using NLP techniques. Each of these areas help firms bring in process efficiency and potential for increased profitability.

Techniques used typically in this area are: LDA/LSA, Word-embedding word2vec, GLOVE, MLE, LSTM based Sentiment Analysis, RNN, TF-IDF, Clustering, Seq2SQL, paraphrase detection, BiDAF query-answering, intent deduction. AITACS has experience performing NLP analysis and sentiment extraction as well as topic modeling and intent classification on individual entities. We can help translate your vision into fully built production grade solutions across the entire spectrum of Chatbots, NLP and Text Semantic Analysis. 

AITACS has the capabilities to

• Help strategize the approach to chatbot building / text and semantic analysis
• Help translate business objective to analytic goals
• Build proof of concept solutions
• Build, develop and train model                                  
• Deploy and maintain models in production environment

Recommendation Modeling

Recommendation of products or services to existing customers based on preferences, previous purchases or customer profile can be a powerful driver of sales, growth and retention. Similarly, lookalike modeling can help target or attract new customers with similar or matching profiles to existing profitable customer base. These AI based targeted advertising can help effectively reach out to a wider customer base than traditional broadcast mediums. Engineers in AITACS has experience building recommendation models for some of the most popular websites. We can closely work with clients to model sales and target advertising, help build recommendation engines and implement look-alike modeling.  

AITACS has the capabilities to

• Help strategize the approach to recommendation engine problems
• Help translate business objective to analytic goals for the recommendation engine modeling problem
• Select data and design feature engineering process that would help achieve the best performance on recommendation engines
• Build proof of concept solutions
• Build, develop and train model          
• Deploy and maintain models in production environment

Predictive Modeling

Data Scientists and engineers at AITACS has experience building various regression, machine learning and deep learning models for forecasting of business variables under uncertainties. Demand modeling and forecasting based on seasonal factors and other market conditions is indispensable for supply-chain management, operations research, manufacturing optimization and market presence. Our knowledgeable team will be able to collaborate with your team in understanding your domain and help design solutions using appropriate models to achieve your goals.

Machine Learning and Deep Learning Models applied in various use cases: Linear/Logistic regression, Bayesian process regression, ARIMA, LSTM, RNN, ARIMAX, CNN etc. 

AITACS has the capabilities to

• Help strategize the approach to Predictive modeling problems
• Help translate business objectives to analytic goals for the predictive modeling problem
• Select data and design feature engineering process that would help achieve the best performance on the predictive models
• Build proof of concept solutions using various machine learning models, back-test models and perform hyper parameter tuning to achieve best results
• Build, develop and train model
• Deploy and maintain models in production environment

Anomaly Detection

Anomalies can indicate rare and isolated events that can be caused due to a glitch, fault or vulnerabilities within a complex interconnected business process. Detecting these rare events and anomalies could help take preventive measures before they become major issues that cause financial or reputational damage to the firms. Alternatively anomalies could also mean unique opportunities due to a rare confluence of events. Detecting such opportunistic anomalies could help firms capitalize on them before their competitors do. AITACS has experience in modeling and detecting anomalies in real-time, in dense and sparse time-series data, and in high dimensional large scale multi-featured structured and textual data.

Example Use Cases: Time series anomaly detection, Fraud Detection, Insider Threats.

AITACS has the capabilities to

• Help strategize the approach to Anomaly detection
• Help translate business objectives to analytic goals for the anomaly detection modeling problem 
• Select data and design feature engineering process that would help achieve the best performance on anomaly detection
• Build proof of concept solutions using various machine learning models, back-test models and perform hyper parameter tuning to achieve best results
• Build, develop and train model
• Deploy and maintain models in production environment

Industries We Serve: