Three advances in AI and ML: From Awareness to Action and Decision

 AI plus blockchain to ramp up accuracy

With so much of data being generated, connected, curated and consumed, some of the challenges faced by enterprises and their customers are data integrity, data privacy and data security. Blockchain technology could help insulate against possible detriments through secure data authentication. 

Consider a manufacturing unit in China that ships goods to its parent company in the U.S. This journey has multiple touchpoints such as the movement of the cargo from the factory in China to a nearby port, obtaining clearance from local authorities, transit, getting customs approval in the U.S., and stocking the goods in a warehouse in the U.S. The hassles of manual labor and coordination can be avoided using smart contracts built on blockchain technology. It uses data and analytics to store rules for negotiating the terms of contract, automatically verifies the contracts and executes the agreed terms. It builds efficiency in the supply chain process by providing visibility to all parties in the blockchain network. 

The possibilities of AI and ML are numerous—we are already witnessing some of its disruptive potential through personalized healthcare, weather predictions, inventory management, smart city design and more. There is one constant that will accelerate these advancements in AI further—the desire to create machines that are domain fungible with the ability to self-learn.