What is AI in FinTech?
What is AI in FinTech?
Running machine learning algorithms on the cloud can be an interesting thing to do nowadays.
AI helps to improve the efficiency and reduce the chances of error.
Moreover, which is super useful for FinTech. Which is essentially a business of dealing with data.
Especially on the cloud, the services that are provided by the firm about machine learning can largely reduce the work for customers. Furthermore, cloud machine learning engine provided by Google Cloud is a relatively new service and it can be an easy machine learning solution for smaller technology firms.
There are a lot of machine learning frameworks that are implemented on Google Cloud Platform.
Tensorflow
Popular too and mostly used for deep learning applications with a high scalability.
Scikit-learn
Firstly, a great tool for data mining and data analysis. Secondly, the package became built on NumPy, SciPy and matplotlib. Thirdly, the function of the package contains classification. In addition, regression, clustering, dimensionality reduction, model selection. And, lastly, preprocessing.
XGBoost
This framework provides a scalable and flexible gradient boosting. It works on several languages including Python, R, Julia and Scala. The model is based on gradient boosted trees mentioned in paper Greedy Function Approximation. It is focusing on supervised learning.
H2O
It is an open source, in-memory, distributed machine learning and predictive platform. The core code for H2O is written in Java. The algorithms are implemented on top of H2O’s distributed map reduce framework. The rest API allows access from script via JSON over HTTP. Easy deployment for supervised and unsupervised algorithms like Deep Learning, Tree Ensembles, and GLRM make H2O highly attractive.
Here are several machine learning services that are provided by Google Cloud:
Business Insights
Google Cloud’s AI provides the pre-trained models and it is able to generate individual tailored models too. It is fast, scalable and easy to use. AutoML vision is a great product that helps people to train their vision models . People who use AutoML just need to have minimum machine learning skills required. The user can start with uploading several photos and let the machine learning provided by the cloud to do the analysis.
Training Data & Optimization
Google Cloud TPUs are famous for speed up and scale up ML workloads with TensorFlow. Its function helps the TensorFlow to iterate more quickly.
Large scale machine learning services
Large scale machine learning services makes building large scale machine learning projects easier. It works on regression models and image classifications. Thus, it is fully integrated with Google Cloud Storage, Google Cloud Dataflow and Google Cloud Datalab.
What is AI in FinTech?
Job search and discovery
Google Cloud job Discovery can provide great detailed research for candidates and also there are a lot of machine learning algorithms to study candidate’s criteria. As a result, it helps to match with the best potential employers.
Video Analysis
Google Cloud Video API is able to help users to study every moment of all videos in the folder and also can analyze key nouns in the video.
Image analysis
Cloud AutoML leverages Google’s proprietary image recognition technology. AutoML has a great proven record and has been tested by CIFAR and ImageNet. REST API is able to quickly classify images into thousand categories and detect individual objects and faces with images. It is able to find and raise printed words contained within images.
Speech recognition
Google Cloud speech-to-text enables users to convert audio to text in minutes. Google API is capable of recognizing 120 languages to support the business demands. In addition, the real time processing becomes also enabled.
Dynamic
Google Cloud translation API is able to help programmers to translate the language into any targeted language. Laslty, the translation API becomes highly integratable and usable in HTML of any web page.
What is AI in FinTech?
