To accelerate the adoption of artificial intelligence in industry-specific scenarios, the IBM Watson data kits are already here. These new machine-readable, machine-readable datasets are designed to accelerate workflow through AI-based training. The kits produced initially are designed specifically to serve industries such as travel, transportation, and food, which are to see a new era of the automated workforce.
Today, at ARMONK in New York, IBM announced the long-awaited release of its Watson data kits, which are supposed to revolutionize the development of AI-based applications. These will then automate and better inform specific decisions of industry demands, a dream come true for most business leaders.
IBM first introduced Watson’s technology to large-scale industrial services in 2016. This allowed customers access to the production of industry-specific internal APIs that dealt with natural language processing and conversation. Watson Machine learning and automated decision-making capabilities based on artificial intelligence are derived from such efforts.
Yesterday, on March 19, Apple.inc and IBM made announcements about the expansion of their existing partnership. This extension will help customers use the advanced machine learning capabilities in the application through a combination of Apple’s Core ML and IBM’s Watson technology.
This partnership is derived from the long-running MobileFirst initiative launched in 2014. Under the terms of the agreement between the two parties, it is assumed that IBM is responsible for leasing hardware, device management, security, analysis, mobile integration and repairs in situ. The role of Apple Inc. is to help in software development and customer support through Apple Care.
Today, a large number of multinational companies depend on the viability of MobileFirst applications to carry out various business operations that can range from air travel to medical care and telecommunications. In 2017, Banco Santander brought this solution based on artificial intelligence to the banking industries, so that experts could provide relevant machine-readable data for better analysis and predictions of the financial market. IBM recently expanded its “Garage” concept of physical office space dedicated to the development of MobileFirst applications with new facilities in the cities of Shanghai and Bucharest.
The integration of Watson technology in the existing iOS model creates a fairly simple workflow. Then, customers can first create an automatic learning model with the use of Watson Tech, which collects information from an external data repository. This model is subsequently converted into Core ML, which is then used through custom applications, and then distributed through the MobileFirst platform.
Core ML was launched at the World Developers Conference in 2017. It is supposed to be a platform tool that facilitates the integration of trained neural network models that are built with third-party tools in an iOS application. This framework comes from Apple’s effort to take advantage of machine learning technology, which began with the development of iOS 11 and the A11 Bionic chip.
According to Mahmoud Naghshineh, general manager of IBM, Apple developers would need to find a way to streamline the creation and storage of such applications in terms of time and ease. To help with that effort, IBM is about to introduce an IBM Cloud Developer Console for Apple. This cloud-based service aims to simplify this process of creating Watson models integrated into applications. It also allows the exchange of round-trip data between the application and the database it is accessing. As a result of this, the machine learning model can use its AI to improve itself over time if the client so wishes. Customers can also use IBM cloud services to gain access to authentication, data, analysis and more.