Machine Learning Software in BFSI

Amazon Machine Learning eases the job of obtaining predictions for user’s application using simple APIs without the need to implement custom prediction generation code or handle any infrastructure. It is considered to be highly scalable, and has the ability to generate billions of predictions on a daily basis and can serve those predictions in real time and at a high throughput as well.

The company has developed machine learning algorithms for voice and image recognition, as well as natural language processing, to help provide smarter, more useful, and more personalized search results. Baidu makes its technology available to other companies to develop their algorithms and applications. The company has made most of its software and systems open source and provided access to it on an “as-a-service” basis.

The major business functions where the company uses AI and machine learning are financial crimes, marketing, cybersecurity, customer management, threat detection, and strategic planning. FICO has more than 130 patents in analytics and decision management technology, including 70 in AI.

The engine can perform large scale training on a managed cluster and can also manage the trained models for large scale online and batch predictions. Major features of Cloud Machine Learning Engine include portable models, notebook developer experience, scalable service, managed service, HyperTune, and the ability to discover and share samples.

With Sparkling Water, users can drive computation from Scala/R/Python and utilize the H2O Flow UI. Recently, the company introduced Driverless AI, which helps to prepare data, calibrate parameters, and determine the optimal algorithms for tackling specific business problems with machine learning. Furthermore, it automates feature engineering, the process by which key variables are selected to build a model.

It also helps to anticipate customer and business needs more accurately. IBM Watson machine learning service helps enterprises to use their data to create, train, and deploy self-learning models. IBM data science experience is a cloudbased, social workspace that helps data professionals to consolidate, create, and collaborate across multiple open sources tools, such as R and Python.

Azure Machine Learning is a fully managed service for advanced analytics in the cloud. It enables enterprises to build advanced analytic web services quickly and eradicate much of the heavy lifting associated with deploying machine learning in modern data-driven applications.

The foundation offers instantly consumable services, such as image processing, natural language processing, and tabular and time-series processing that help enterprises to learn from data, extract knowledge, and gain new insights. The foundation helps organizations to incorporate intelligence into enterprise applications, without massive computing or data scientists.

Its major features are automated model tuning, powerful data manipulation and management, flexible web-based programming environment, integrated text analytics, model assessment and scoring, and modern statistical, data mining, and machine-learning techniques.