We believe in a collaborative approach towards data science and machine learning that helps our customers stay ahead of the competition
The digital workplace powered by Office 365 enables new and more effective ways of working, improves employee engagement and agility, and exploits consumer-oriented styles and technologies. Our Microsoft Certified Professionals will help implement, train and drive adoption of the full array Office 365 applications such as Exchange Online, Microsoft Teams, SharePoint, Power BI, Delve Analytics, Office Online Apps, Skype for Business, OneDrive, advanced security and compliance in your business.
Most organizations are aware of the need to put their data to good use, but aren’t sure where to start. We help companies make better business decisions by augmenting their existing capabilities with data science. Our clients develop a better understanding of the opportunities for growth with data science and analytics. Our iterative approach allows us to use existing data sets and create custom analytics that drive growth and enable better decision making. Let’s work together to identify the competitive opportunities available to your company through a collaborative, comprehensive, data science driven approach.
Predictive technologies have practical applications across multiple verticals. Imagine having the ability to tell customer service and marketing teams which accounts are most likely to churn. These technologies also help reduce engineering overhead expenses when your data scientists can run models on faster, more economical infrastructure. Machine learning even has applications in e-commerce to prevent fraud with anomaly detection or to run a recommendation engine to online shoppers. We use a robust variety of algorithms to improve both your applications and short and long term business strategy.
We specialize in building products and services leveraging cloud computing and artificial intelligence. We help businesses build and operate cognitive technology that can think like you, through natural language processing, sentiment analysis, as well as supervised and unsupervised learning. Our clients include a diversified set of Fortune 100 companies, non-profit organizations, government agencies and mid-to-small size organizations.
Data Engineering, sometimes also referred to as data architecture or infrastructure, is the process of collecting and processing your data. Big Data Engineers are responsible for processing raw or unclean data in order to prepare it for a data scientist to analyze it. Our data engineers batch process information in real time, so that is easily queried by a data scientist. We have extensive knowledge in engineering best practices as well as database administration. Data engineering is an integral part of computer science in its application of data science and machine learning.
Architecture, Development, Migration, DevOps and Managed Services on Amazon Web Services (AWS), Microsoft Azure Cloud and Google Cloud platforms. We are a certified partner.
Security & Compliance
Our foundation is built around our the trust of our clients, and the security of your data is no exception. Our extensive security and compliance offerings ensure that the business applications that you rely on are always up and running and will meet even the most specific compliance requirements. We analyze your existing technology and develop a roadmap towards a system that encompasses data backup considerations, Disaster Recovery solutions and security controls. Secure and compliant managed services are an essential part of your technology needs, and we plan with you every step of the way.
Deep learning is a more broad application of machine learning that is based on learning data representations as opposed to algorithms that are task specific. The practical application of deep learning brings us closer to artificial intelligence. Our highly sought after specialization in deep learning helps us create applications for our clients that build better businesses, deepen their understanding of existing data, improve processes, reduce costs and future proof their organization.
Businesses are built around data, and advanced business analytics are no exception. The application of data science has the ability to unlock insights about your organization that can help you run more effectively. Single data science and advanced analytics projects have saved Fortune 100 companies millions of dollars a year in costs that would have otherwise been lost, had it not been for advanced analytics. CMO’s use advanced analytics to subsegment markets, and build better, more effective campaigns that demonstrate a higher return on investment year over year.