If the Indian economy needs to sustain its growth momentum in the coming decade, developing world-class infrastructure facilities is of paramount importance. Traditionally in India, a significant portion of debt requirement for financing infrastructure has been met by borrowing from domestic banks.

Until recently, we used to talk about the cost of funds being too high and, as you are aware, some infrastructure projects have a long gestation period. There is a period of construction and then there are cost overruns and delays.

Policy actions to revive stalled projects, expedite approvals, introduce hybrid annuity and toll-operate-transfer (TOT) models in highways, and sustain rapid growth in renewable capacity augur well for the infrastructure financing landscape.

The preliminary challenge in investing in companies already under insolvency proceedings is - reversal of the order by appellate authority viz. NCLAT or the Supreme Court, explains Ashish Parwani, Partner, Rajani Associates.

With over Rs11 lakh crore debt, project investments worth Rs.32.7 lakh crore and cost overrun of Rs14.35 lakh crore is at stake, the current Insolvency and Bankruptcy Code 2016 is a sigh of relief for India's financial institutions.

The ability to harness and store large volumes of data to enable future services and add extensions to current services to improve can only be achieved with big data.

Big data will be the thread that binds together all the diverse elements deployed in a smart city. It would be inconceivable to have any kind of meaningful smart city application layer without leveraging on big data. The Internet of Things (IoT) layer of big data sensors will generate an avalanche of data.

The role of big data during project implementation is different from that of project operations. The implementation phase typically consists of planning, design and construction.

Most large-scale infrastructure projects today are increasingly going the public-private-partnership (PPP) way. Technology and governance are key enablers in shaping the way forward for PPPs, while data-driven outcomes are critical because these projects need to generate value-for-money, be innovative and attain operational efficiency in a defined time frame.