Bdbizviz.com Website Review

BDB Decision Platform is an end-to-end Data An*lytics Platform that consumes data from streaming, structured, unstructured data sources such as Blockchain, IOT, Docu*ents & Social Media. This microservices architecture based modern platform can be integrated with popular business applications to provide embedded an*lytics flow. It has elements of Augmented An*lytics, Machine Learning, NLP with high-end Visualization. All layers of users can use this product in an organization like CXOs, Citizen Data Scientists, Data Scientists, Business An*lysts, and Business Users. It has elements of Data Wrangling, Data Preparation, Data Cleansing, Data Transformation, and Load. It has exclusive visualization layer consisting Self-service BI (enhanced by AI-based Search) and An*lytics Dashboards accessible on. AN*LYTICS VIA ARTIFICIAL INTELLIGENCE, MACHINE LEARNING, DE*P LEARNING. Our AI Platform comes with integrated algorithms from R, Spark ML, Python, Keras + Tensorflow for Data Scientist & Citizen Data Scientist to use to create Algorithmic workflows, Prescriptive flows to give Recommendation to businesses. Apart from using standard libraries, there is a provision to write Custom Algorithms in R, Spark ML (Scala), Python and add to your workflows. It also gives Neural Network Workspace using Keras High Level APIs and Tensor flow packages, which can be leveraged with Real Time data and Event driven data to give Machine Learning and De*p Learning. Sentiment An*lytics, Image An*lytics and Video an*lytics is something that users can expect to achieve using NN Workbench. BDB data science team works on many verticals and keeps on adding more refined Algorithms and Models to Using our AI Workbench, once the models have been successfully trained, These models can be deployed into our BDB pipeline for production consumption and real time an*lytics. Accurately, calculate the recommendations at run-time and communicate immediately. Our BDB Predictive Work Bench provides a seamless integration with R providing wide variety of statistical (linear and nonlinear modelling,