While the open, decentralized internet is alive and well in the InternetOne layer, the InternetTwo layer has become highly centralized, dominated by a few huge companies. Blockchain technologies have the potential to address these serious internet problems by enabling the exchange of the critical data required to validate identities in a secure, decentralized manner without the need for a central platform or other intermediaries. Over time, blockchain-based applications could be used to coordinate the self-organizing activities of large numbers of individuals and institutions in a secure and decentralized manner, as was the case with the internet’s early objectives.
Is there too much hype surrounding blockchain? Absolutely,… but not surprising. All potentially transformative technologies are oversold in their early stages. Remember the dot-com bubble of the late 1990s. Blockchain is still in its early phases of experimentation and adoption. Much work remains to be done on standards, platforms, interoperability, applications and governance. But, does blockchain have the potential to become a truly transformative technology over time? Yes, said McKinsey in a recent article on the strategic value of blockchain beyond the hype.
The behavior of an AI system based on machine learning depends on the information we use to train its algorithms rather than on the precise set of software instructions that tell the computer what to do. Agile development is particularly well suited to AI-based products and systems, where it’s important to involve users early in the development cycle to help test, refine and improve the AI features in the product by sharing their real-time feedback with the development teams.
Most current AI projects are focused on augmenting the capabilities of the workforce, and AI is transforming many jobs, leading to moderate or substantial changes in roles and skills. Also AI empowers employees to make better decisions, and it will increase job satisfaction. Perhaps the biggest advantage could be new ways of working that blend the best of what machines do with human experience, judgment, and empathy. AI-based augmentation of workers will fuel new ways of working.