DATAIKEN helps organizations run their data science, AI/ML implementations with three key features,
A) by providing, an Integrated Platform for all AI/ML and BI workflows,
B) pre-built components and API services and
C) a low-code drag-and-drop environment
integrated with built-in Data Governance and Process Audit features.
These not only eliminate several issues of using traditional tools and processes, but also helps directs the user behaviour towards delivering quick outcomes and easily iterating to improve results.
How does it benefit you?
First: By providing an integrated platform for data scientists, developers and DevOps engineers. This eliminates the pains of integrating an AI/ML modeling software with a backend systems and scripting its deployment, CI/CD and monitoring functionalities.
Second: By providing pre-built components and API services. This boosts the productivity of data scientists by enabling them to reuse the pre-built AI/ML models, and developers can use APIs to integrate external applications quickly. This speeds up the implementation process and can be used to show results to management, within a matter of hours and days, instead of weeks and months.
Third: By providing a low-code environment with several commonly used components and workflows made available through a drag-and-drop interface called the Flow designer and runtime. This means that organizations can leverage their data analysts for data science AI/ML implementations,thereby avoiding the problem of skill-availability and retention. Flow Designer functionality encourages teams to think about the product being delivered, and allows data scientists and developers to easily collaborate to deliver the outcome.
