DeepSingularity: The Road to SAP Enterprise Machine Learning

The world is witnessing the rise of big data and exponential increase in parallel computing capabilities with memristors, resistors, capacitors, and inductors powered by in-memory computing in high-performance computing environments. Ganapathi Pulipaka, the CEO of DeepSingularity, discovers and visualizes the patterns and trends of data science, machine learning through his book “Big Data Appliances for In-Memory Computing - A Real-World Research Guide for Corporations to Tame and Wrangle Their Data”—an ensemble of the firm’s in-depth SAP capabilities to support business enterprises. Pulipaka, a Postdoctoral Research Scholar (ABD) in Big Data Analytics, Computer Science Engineering, and Artificial Intelligence, brings deep expertise in big data, analytics, machine learning, and deep learning which he adds on with his years of experience in SAP consulting of application development and project management. “DeepSingularity specializes in building products powered by machine intelligence, deep learning, and machine learning frameworks integrating SAP platforms,” says Pulipaka.

The firm’s methodologies and accelerators meet the growing demand for end-to-end integration of SAP Enterprise systems on SAP NetWeaver platform with a dizzying array of solutions providing functionalities on SAP ERP, SAP CRM, SAP Fiori, SAP HANA, SAP S/4 HANA, and more. “Real-time integration with ERP, CRM, SCM, PLM and various systems, applications, products, and processes requires continuous data ingestion, processing, and analysis with time-dependent sequences in a distributed computing environment,” says Pulipaka. Organizations need to have the ability to process billions of datasets with extreme speed and in-memory capabilities to disentangle biggest business challenges. The challenges include complexities of IT landscapes, software, hardware, and ability to move data from OLTP systems to OLAP systems from disparate data sources and heterogeneous data formats with structured and unstructured channels of big data. DeepSingularity plays a crucial role in helping organizations to adopt SAP in-memory platform that allows real-time transactional and analytical processing along with advisory and consulting services. “We surveyed every industry out there—more than 60 of them—by analyzing the scale of data analytics adoption across businesses worldwide. Built 60 case studies for SAP HANA implementation with enterprise machine learning capabilities to support customers across aerospace, automotive, consumer products, government, healthcare, and other industries,” states Pulipaka.