Graphical User Interface for data pre-processing, data analysis, training & validating models.
Drag and drop components to wire up and deploy your data pipeline.
Server-less environment for platform-native data access, processing, model training, testing and model serving.
Schedule jobs and configure alerts and notifications for anomalous events.
Comprehensive set of visualizations for data science, predictive analytics, business analytics, graph, time series, structured and unstructured datasets. API support for sharing widgets and dashboards.
Data lake for static and streaming data from over 50 data source types, with industry specific data modelling.
For critical business events - when a goal is met, or an unexpected event occurs, raise alerts and send notifications to system owners.
Our highly experienced consultants bring decades of industry specific analytics experience across BFSI, Retail, Energy, Utilities Telecom, Manufacturing, Logistics and CPG. We combine this experience with Machine Learning modelling to help derive insights specific to the industry or its operational domain.Learn more
We apply traditional data analytics including big data processing, visualisation modelling along with machine learning and prediction or inference processing pipeline over the DATAIKEN and 3rd party products. DATAIKEN then provides users and runtime environment with admin instrumentation for monitoring deployed pipelines.Learn more
The DATAIKEN Data Science platform provides an integrated environment that eases the work of both data scientists and data engineers, by providing a consistent metaphor across data aggregation, data cleansing, design, visualization, machine learning model development, testing, natural language understanding (NLU), natural language generation (NLG), deployment and integration to application systems. The two features of DATAIKEN platform presented here are ALPHADASH Data Science Studio and OMEGABOT Bot Lifecycle Framework.
ALPHADASH Design Studio is the data science design and runtime environment for collaborative use by teams of data analysts, data scientists, and engineers to analyse, design, prototype, build, generate data insights and take intelligent actions from one software platform. With support of over 40 different data sources and more on the way, ALPHADASH, aims to support all major enterprise data access and analysis needs for data scientists, students, teachers and researchers, across enterprise software, IOT and cloud native apps.
ALPHADASH provides a way to move data seamlessly throughout the organization, regardless of the size, structure, and volume of data and whether the data originates internally or externally, as soon as the data object manifests in the system.
ALPHADASH then helps transport data from its point-of-origin in the system to any other internal or external application, in a standard format, in real-time enabling real-time predictive analytics nearly in tandem with application state changes.
Finally, ALPHADASH provides a modern chat based(OMEGABOT) interfaces to enterprise and business applications, supporting multiple languages, voice and visual input from the user. This makes training of users simple and intuitive and enables predictive operational management possible.