Enterprise ML/AI
Cognitive BI Augmentation
Supplement your existing BI systems with cognitive tools for Predictive Analytics and Forecasting, Fraud and Anomaly Detection, Sentiment Analysis, Client Classification, Targeting and more.

Supplement your traditional BI tools
It is common business knowledge that analyzing data provides insights, which help enterprises run more effectively. Data answers important questions and reveals emerging trends. Recent developments in Machine Learning and Artificial Intelligence, along with the necessary computing hardware and cloud infrastructure improvements, have made the entire process of data analysis almost instantaneous. Decision makers can now rely on Business Intelligence systems that deliver immediate results from ever-increasing data sets, processed in milliseconds by thousands of servers in the cloud or on-premise. One key caveat with traditional BI tools is that often you must know what you’re looking for in order to get the most value out of your data.
What is Deep Learning and how does it help with Data Analytics?
Traditional analytics relies heavily on modelling. The quality of the output completely depends on what type of model is applied to the data set, as well as on the underlying assumptions that are shaped into that model - e.g. what variables are relevant, the specifics of data transformations, data scope, etc. What's more, a change the size of the data set often requires the development of a new model. Generally, there is an underlying layer of subjectivity, which manifests itself based on how the computing "is told" to operate in order to produce the output.
Deep Learning offers an entirely different approach, where the analytical model building is automated. ML goes well beyond data-mining, because instead of outputting data patterns to human analysts, it absorbs them as new input to further develop the model. Rather than feeding the system with assumptions and templates, and asking for patterns in return, we allow the machines to look for and recognize data patterns on their own, without being explicitly programmed. The machines are not told where to look for insights and the algorithms evolve as they are exposed to more data.
CloudBasic Enterprise ML/AI
Generating instant reports and producing data visualizations is barely scratching the surface of what’s possible with ML/Al . CloudBasic Enterprise ML/AI can supplement your existing BI framework with cognitive tools for Predictive Analytics and Forecasting, Fraud and Anomaly Detection, Sentiment Analysis, Client Classification and Targeting, altogether facilitating decision making in real time.
CloudBasic can help you process multiple data streams, from customer operations to finance, using combinations of automated data science, machine learning, and modern deep learning approaches. Processing structured and unstructured data across many sources and industries, CloudBasic's Enterprise ML/AI will ingest, reason over and derive recommendations to accelerate decision making and drive greater customer success.
Deep Learning turns your databases into powerful intel. CloudBasic Enterprise ML/AI tools can gather information from multiple access points, process high volume of transaction records in real time, enabling you to make data-driven decisions, achieve infrastructure optimization, and improve operational efficiency.
Take the next step
CloudBasic's HA/DR tools are used at the bleeding edge of cloud computing by enterprises of all sizes across the globe. Leverage the experience of our software engineers and bring new dimensions to your BI systems with CloudBasic Enterprise ML/AI. A CloudBasic Senior Technology Adviser is available to evaluate your current BI implementation and recommend next steps.
