We deliver and develop advanced machine learning solutions to help enterprises solve many key business challenges. Our services help you achieve data-driven decision making with ML-powered applications.
By delivering best-of-breed ML + AI software for IoT applications, data services and digital transformation to enterprises and Fortune 100 companies have given us the proficiency to offer strategy, design, engineering solutions, and R&D services. With a heavy focus on R&D as a service, we help companies to bring their brainchild to life by creating a working POC and make it mature enough for the full scale.
Our Machine Learning Services
We design, build, train, and deploy machine learning and deep learning models to identify underlying patterns.
Increase the performance of forecasting, decision-making and other important operations with our deep learning services.
Prepare your data to make the most of AI algorithms.
Leveraging ML and deep learning techniques in tandem to extract relevant and actionable information from images and videos.
Natural Language Processing
Build natural interactions with your users and identify patterns in unstructured data.
Find meaningful insights to improve your product or service.
Create a personalized experience for every user thanks to an accurate recommendation system.
Real-time Credit Card Fraud Detection Using Machine Learning
The company is among the fastest growing small credit providers in the east coast generating a revenue of $ 150 million each year through credit cards and was facing fraud issues with multiple claims and cases being filed. They wanted to identify the source of the problems and wanted to minimize the frauds happening which burned their profitability.
We got an opportunity to work with the customer as their data analytics and business intelligence partner, wherein we first defined the KPIs to the current KYC. Many machine learning models and algorithms were developed to detect the fraudulent cases in real-time by checking various parameters like location, credit history, type of purchase, customer basket analysis and purchasing power. We leveraged Google Machine Learning, TensorFlow and Java technology to implement real-time credit card fraud cases.
Reduced business risk by 40% with real-time mapping of credit history with customer data and their financial information.Optimized profits with focus on core customers.The solution provides relief to the financial institutes to concentrate on strategies rather than getting involved in fire-fightning.
Optimizing Customer Services with Machine Learning
The New Jersey based customer, a dominant player into customer services and call centers for the past 10 years wanted to improve its agent performance and reduce the average handling time by each agent.
Machine learning is radically transforming how businesses can make decisions and we got an opportunity to work with the customer as their partner solving the big data issue. A machine learning road-map was developed, followed by developing a data warehouse and running machine learning algorithms to find common patterns and keywords captured during the customer conversations and leveraged AWS.
Customer satisfaction has increased by 43% with reduced average response time by 80%. Many common outliers were identified, leading to more focused effort and solving the customer service issue proactively.
Our Approach to Machine Learning and Data Science Projects
1. Studying the problem
As with any project, we start by studying your product needs or business challenges, documenting requirements and your vision of a solution to connect data and value.
2. Exploratory data analysis
Then, as any data science endeavor suggests, we review your current data infrastructure and explore datasets to find anomalies, missing values, dependencies, and patterns.
3. Data preparation
Before modeling, we prepare data by cleansing it and transforming into a unified format.
4. Data modeling and evaluation
Our data scientists train numerous models to define which one of them provides the most accurate results. Then we choose the best model in terms of accuracy of results, simplicity, and performance.
5. Designing the solution
Be it a BI product, a machine learning algorithm, or a data management solution, we engineer, integrate, and test your product, as you start adjusting to your new innovative capabilities.
6. Support and maintenance
We maintain your growth by helping you release new features, introduce more tools and data sources, and integrate the product further in the workflow. We seek long-term client/vendor relationships where common progress supports our mutual development.
Top Machine Learning Platforms We Use
Amazon Web Services. Highly scalable, complete cloud platform. Microsoft Azure. IaaS and PaaS computing for development, deployment, and management. Google Cloud Platform. Developer products and cloud technologies hosted by Google.
Machine Learning on AWS
Building and Deploying AI and ML Models with Amazon SageMaker
Machine Learning on Google Cloud
Building Machine Learning Models on Google Cloud with Cloud Machine Learning Engine
Machine Learning on Azure
Developing Machine Learning Models with Azure Machine Learning Studio
Open Source Machine Learning Frameworks
Building Machine Learning Models with Open Source frameworks - TensorFlow, Theano and Keras
Why Choose Us
With Dash Technologies, you will get onsite, onshore, nearshore and offshore resource with highly customized engagement covering your entire spectrum of Machine Learning requirement.