IBM (NYSE: IBM) and Indian Institute of Science (IISc), one of the premier academic research institutions in India, today announced the launch of the IBM-IISc Hybrid Cloud lab to advance research in hybrid cloud technologies and drive breakthrough innovations in this area. Located at the IISc campus in Bengaluru, students and faculty across departments of the institute will work alongside IBM Research scientists to conduct cutting-edge research that can help organizations leverage the true power of hybrid cloud by enabling faster, seamless, and more secure adoption of hybrid cloud & Artificial Intelligence (AI).
An IBM Institute for Business Value (IBV) study on hybrid cloud reveals that the value derived from a hybrid, multi-cloud platform technology and operating model at scale is 2.5 times the value derived from a single platform, single cloud. Hence, businesses are increasingly investing in hybrid multi-cloud platform capabilities to unlock value and drive business transformation.
The IBM-IISc Hybrid Cloud lab will bring together a talented community of scientists, faculty and students, who are passionate about solving some of the toughest research challenges that enterprises face today, in scaling the adoption of cloud computing across industries. The lab will engage not just with academia, but also the broader open-source community for wider adoption and acceleration of innovation. The lab will start with an initial set of projects, involving faculty and students from the IISc Departments of Computational and Data Sciences, Computer Science and Automation, and Supercomputing Education and Research Center, alongside scientists from IBM Research’s India lab, on several areas including:
- Building autonomous, self-healing computing systems that use AI to predict emerging issues, diagnose and heal faults while maximizing availability and minimizing the cost of operations.
- Adopting microservices and optimization of cloud-native applications that leverage and advance cloud-native technologies such as Kubernetes and serverless. This will enable enterprises to bring substantial agility into their IT services and drive new cloud-enabled business models.
- Creating AI-based Information Management that enables enterprises to govern, consume, draw insights and create value from data across a hybrid footprint of edge, cloud, and diverse data sources.
- Developing AI systems that can analyze human and machine languages, with advances in AI for Code, to model and optimize computing systems. This will be fundamental to enabling innovations and automation in the above-mentioned areas.
