How We Transform Businesses With AI
We use our end to end 3D approach to support our client’s vision throughout the entire data science lifecycle:
Data Science
Under the data science division our experienced data scientists provide management consulting to initiate strategic projects and provide the analytical expertise and best open source tools available to discover insights from your data.
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Real Time Data on the go!
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Update action items to best equip your team for success!
Data Engineering
The data engineering division hosts our automated pipeline, collection, data lake/warehouse and dashboarding capabilities.
Deployment
The deployment division is responsible for efficient deployment of predictive models and custom web app development to streamline business processes and provide AI insights to frontline employees.
In addition, we provide access to leading academic economists, statisticians and industry experts to bring the best insights available to your business.
In addition, we provide access to leading academic economists, statisticians and industry experts to bring the best insights available to your business.
FAQs
Frequently Asked Questions
What is Artificial Intelligence?
Artificial Intelligence has many definitions ranging from the practical to the philosophical. For our work, we define AI as any statistics based system capable of making decisions or recommendations on its own without human input.
What is the difference between AI and BI?
BI, or Business Intelligence, has been a trend for over two decades and allows organizations to view business activity in near real-time by collecting its data in one place (e.g. a data warehouse). AI, builds on BI by using statistics and machine learning to make decisions and recommendations of behalf of the business in real-time.
Why should my business or organizations adopt AI?
AI serves the role of a team of experienced statisticians using data to make every decision a little bit better. Humans are pretty good at making routine decisions in relatively unchanging environments. However, it is difficult for us to consider large amounts of information in a purely unbiased manner. Some companies are able to hire teams of statisticians to crunch numbers, but AI can achieve similar results at a fraction of the cost.
What can AI do for my company?
AI can be applied to virtually any system or business process that is generating data. Whether it is understanding your customers better, processing thousands or millions of text documents, or monitoring complex machinery for signs of trouble, AI can help reduce costs and increase revenue.
Can’t I just hire a data scientist to start implementing AI?
Experienced data scientists are hard to come by and typically command high salaries. However, a data scientist also needs a lot of support both technically and organizationally and many data scientists end up being underutilized due to IT constraints and organizational structures.