As every organization is moving towards open source technology tools in reporting and analysis, it is a norm now to have Data Scientists and Engineers who have backgrounds and knowledge in both analytical and open source languages in order create different applications that addresses the analytical needs and requirements of the organization.
The current challenges and pain points of these Data Scientists and Data Engineers are as
follows:
- Keeping up with the many open source innovations.
- Determining which programming language to use - standardize on one or allow the data scientists to choose.
- Difficult to collaborate across different tool sets and environments.
- Lack of metadata about the data or knowledge of data lineage.
- Difficult to share data products organizationally or deploy in operation.
Since most corporations' are using various Open Source, Low Code, AI and ML technologies to implement Big Data Analytics with AI, the PERCEPTRON BDA PLATFORM (powered by industry leading analytical technologies) - All Your Tools in One Place is an environment that brings together everything that a Data Scientist or Data Analyst needs to integrate unique value-add functionalities with community and social features.
CTO, STATWORKS GROUP
With a strong technical background, Ms Rohini has been providing Analytical and Digital
Transformation consulting for the past 16 years and heavily looking into Artificial
Intelligence, Business Intelligence, Data Mining and Text Mining solutions in the area of CRM
Analytics, Manufacturing Intelligence Analytics, Crime Intelligence Analytics, Defense
Intelligence Analytics and Financial Analytics in the South East Asia region.
Ms Rohini is also instrumental in leading the technical and professional development of BDA teams to spearhead the incorporation of technology into the teaching and learning of science and mathematics based on local curriculums of the specific countries. She is also responsible for the development of enterprise systems (Web Solutions) using 4th generation and object-oriented languages such as S or R, Python as well as low code APPS that have been incorporated within analytics solutions involving AI, ML, and forecasting, RPA to deliver meaningful insights using Precision AI technologies.