"Businesses have largely been limited to experimenting with AI in siloes due to the limitations caused by cloud provider lock-in of their data", stated Rob Thomas, General Manager, IBM Data and AI. "With most large organisations storing data across hybrid Cloud environments, they need the freedom and choice to apply AI to their data wherever it is stored. By breaking open that siloed infrastructure we can help businesses accelerate their transformation through AI."
Watson, IBM's AI, is designed to help organisations put AI to work to improve the performance of business. With a clear set of applications, development tools, machine learning models, and management services, Watson is helping organisations around the world mine their data, predict outcomes, and automate time- and resource-sensitive processes.
The announcements advance this mission by providing businesses with a simpler, faster way to build, deploy and run AI models and applications across any cloud. With these tools in place, organisations can:
Though the use of AI continues to gain attention in business, many organizations are still challenged to move projects forward. According to an MIT Sloan report, 81 percent of enterprises do not understand what data is required for AI, or how to access it. And a recent Gartner study found that "data and analytics leaders continue to struggle with the complexity, time to integration and cost implications of their data integration projects, thereby inflating their schedules and delivery costs with multiple cycles of revised project scope".
Still, the vast majority of enterprises, 83 percent, according to the MIT Sloan report, agree that driving AI across the enterprise is a strategic opportunity.
Qatar Development Bank has collaborated with IBM to establish the IBM Innovation Hub Doha. One of the key technologies that the Hub will deploy is IBM Cloud Private for Data. "The exciting thing about IBM Cloud Private for Data is how quickly we will be able to drive new innovations in FinTech and SportsTech using the microservices within the platform", stated Abdulaziz Al Khalifa, CEO, Qatar Development Bank. "What makes it especially attractive is that it enables us to develop and deploy new models quickly that brings the tools to the data, rather than the other way around."
ICP for Data is IBM's open, Cloud-native information architecture for AI that comes integrated with advanced data science, data engineering and application-building capabilities, and is designed to help companies uncover previously unobtainable insights from their data. Openness is at the core of ICP for Data, for which Watson Studio is a key part. For example, based on internal study, 85% of Watson users are using open source languages and frameworks like Python, R, and TensorFlow, within the Watson family.
In its recent report, "The Forrester Wave: Enterprise Insight Platforms, Q1 2019", Forrester Research named ICP for Data a "Leader". The report analyzes and reviews Enterprise Insight Platforms that combine data management, analytics, and insight application development tooling. In the study, Forrester noted: "IBM has pre-integrated capabilities that allow clients to be productive in a week or less. We were also impressed with its ML-assisted data cataloging and governance tools. IBM's platform uses Kubernetes to deploy on-premises or into the public cloud."
At the heart of the announcements is a series of new Watson microservices built for ICP for Data that are based on open source technologies and easily scalable across Cloud environments. Based on the open-source Kubernetes technology, these new Watson microservices can be run on IBM Cloud, and other public, hybrid or multi-cCoud environments.
The microservices are based on the following software solutions:
The new Watson services join Watson Studio and Watson Machine Learning, among other services, which are currently available on ICP for Data. Later this year, IBM will bring additional Watson services to ICP for Data, including Watson Knowledge Studio and Watson Natural Language Understanding.
In addition to this news, IBM also announced that IBM Watson Machine Learning is being extended with a new Accelerator - Watson Machine Learning Accelerator - that enables high performance GPU clustering on Power Systems and X86 systems. Combined with IBM POWER9's industry-leading GPU memory bandwidth, the solution can offer up to 10x faster machine learning training than competitive solutions.
In addition to the release of these solutions, IBM announced a forthcoming software capability, called IBM Business Automation Intelligence with Watson. With this new software, business leaders will be able to apply AI directly to applications, helping to strengthen their workforce, from clerical to knowledge workers, to intelligently automate work from the mundane to the complex. In addition, the software will measure the level of impact and effectiveness of AI on business outcomes.
IBM Business Automation Intelligence with Watson is anticipated to be available later this year.