While data protection laws are, for the most part, domestically focussed, when personal data has to move across border they need to work well with each other. But before that can happen, countries need to agree on the principles of interoperability.

AI really comes into its own when we need customised solutions at scale. If we can identify use cases in which human intervention is simply not practical given the complexity and diversity of outcomes, AI might just be able to offer a way out. Such as, for instance, to provide bespoke education outcomes.

India’s latest DPI focuses on leveraging non-financial data. By offering API-based access to a number of different data sources it will give lenders additional ways in which to evaluate the credit-worthiness of potential borrowers.

There comes a point in time when citizens voluntarily opt to formalise their business - recognising that the benefits they will receive are worth the downside of coming within the tax net. Countries can leverage this notion to unlock much needed revenue by following a three-step process.

While the world has been agog with the news of the arrest of the CEO of Telegram followed in quick succession by the decision to boot X (formerly Twitter) out of Brazil, a decision in the US is likely to have a much more far-reaching impact on how content is delivered online.

While synthetic biology offers us many significant benefits, there is a risk that these benefits will accrue to the wealthy nations and corporations that currently control almost all cutting edge research in the field. To secure our interests we need to participate in global discussions on the subject. And increase our investments in the sector.

The traditional approach to the digital transformation of governance has been to build full-stack solutions that are narrowly geared to addressing specific problems. This is highly inefficient and unless we commit to designing them so that they use shared, re-useable building blocks we are simply not going to achieve the outcomes we need.

The traditional approach to the digital transformation of governance has been to build full-stack solutions that are narrowly geared to addressing specific problems. This is highly inefficient and unless we commit to designing them so that they use shared, re-useable building blocks we are simply not going to achieve the outcomes we need.

There is no doubt that AI will fundamentally change the ways in which films are made. But rather than worry about how this might affect the film-making process, we should embrace the change that is about to come and use it to think up new approaches to story-telling.

All innovations build on those that came before. It is important to strike a balance between leveraging intellectual property protection for commercial benefit and stifling innovation in the process. And this is particularly relevant in the context of AI.