New services prevent vendor lock-in, signaling a new chapter in how AI is adopted
IBM announced a new chapter in the journey from AI experimentation to wide-scale deployment and industry transformation. IBM has made Watson portable across any cloud and empowered businesses to prevent vendor lock-in and start deploying AI wherever their data resides.
“Businesses have largely been limited to experimenting with AI in siloes due to the limitations caused by cloud provider lock-in of their data,” said 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 organizations 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.
This mission is to provide 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:
Run IBM Watson services, including Watson Assistant and Watson OpenScale, on any cloud. Through their integration withIBM Cloud Private for Data (ICP for Data), Watson and Watson OpenScale can now be run any environment – on premises, or on any private, public or hybrid-multicloud – enabling businesses to apply AI to data wherever it is hosted. Businesses will be able to infuse AI into their apps, regardless of where they reside. The flexibility this affords can remove one of the major obstacles to scaling AI, since businesses can now leave data in secure or preferred environments and take Watson to that data.
Deploy AI software that automates business processes for improved efficiencies and performance. New AI digital automation software is designed to enable clients to discover patterns in their business processes and then create AI-embedded programs to automate certain workflows.
Though the use of AI continues to gain attention in business, many organisations are still challenged to move projects forward. According to an MIT Sloan report, 81% do not understand what data is required for AI, or how to access it.
In a recent Gartner study, “Predicts 2019: Data Management Solutions,” Dec. 6, 2018 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%, 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 micro-services within the platform,” said 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.”
Watson Comes to ICP for Data
At the heart of the announcements is a series of new Watson micro-services 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 micro-services can be run on IBM Cloud, and other public, hybrid or multi-cloud environments.
The micro-services are based on the following software solutions:
Watson OpenScale: IBM’s open AI platform for managing multiple instances of AI, no matter where they were developed – including the ability to explain how AI decisions are being made in real time, for greater transparency and compliance.
Watson Assistant: IBM’s AI tool for building conversational interfaces into applications and devices. More advanced that a traditional chatbot, Watson Assistant intelligently determines when to search for a result, when to ask the user for clarification, and when to offload the user to a human for personal assistance. In addition, the Watson Assistant Discovery Extension enables organizations to unlock hidden insights in unstructured data and documents.
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 IBM Systems Blog: New Watson Machine Learning Accelerator for Power Systems machine learning training than competitive solutions.
IBM Business Automation Intelligence with Watson
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.
