September 28, 2017 | Written by: Chacko Thomas
Categorized: Thought Leadership
Artificial intelligence (AI) and cognitive systems are defined as a set of technologies that use deep learning and natural language processing to answer questions, recognize patterns and provide recommendations. The system uses high probability computing then hypothesizes and develops possible answers based on evidence. It has the capability to ingest vast amount of data, both structured and unstructured, and learn from its experiences including failures automatically.
The AI Story keeps evolving from assisted to augmented and autonomous intelligence
A Strategist guide to Artificial Intelligence by Anand Rao, introduces three ways enterprises can leverage AI:
- Assisted Intelligence: Improves what people and organizations are already doing and is now widely available like chatbots, advisory services
- Augmented Intelligence: Emerging today enabling organizations and people to do things they couldn’t otherwise do like deep learning, pattern recognition in oncology research
- Autonomous Intelligence: Being developed for the future, creating and deploying machines that act on their own like robotic automation
In a recent IDC ranking IBM scored 10.1 percent in market share for artificial intelligence software platform.
“It’s not artificial intelligence, it’s augmented intelligence. Watson doesn’t grow without us.”
Ginni Rometty, IBM Chairman, President & CEO
IBM is one of the longest serving artificial intelligence market leaders with thousands of research leads dedicated to building out the Watson® platform. Several hundreds of clients across Industries leverage IBM Watson® as illustrated in the case studies here:
Case study #1: Improving water management and crop yields at one of the world’s largest wineries
No resource is more critical on a vineyard than water. One of the world’s largest winery manufacturers is using weather reports, remote sensor data and NASA satellite imagery to tailor irrigation methods and respond to frequently changing weather and soil moisture levels to help ensure vines only receive water when needed. Click here to view video.
Case study #2: Layering in AI to synthesize research documents for a large CPG company
“A large consumer goods company ingested nearly 400 documents, consisting of some 11,000 sentences in seconds with Watson. The company also increased their ROI on marketing studies when business users could receive synthesized, simple answers to the complex searches they conducted on the unstructured data. Watson was able to shorten the time spent searching through documents and boost user productivity.”
Case study #3: Generating new insights from customer surveys with a home improvement retailer with natural language NPS understanding
Customer satisfaction surveys were based on net promoter score (NPS) methodology, and included two natural language responses which this retailer couldn’t analyze causing them to miss critical information. With a custom-trained model and analytics dashboard, the solution groups customer comments into multiple dimensions.
Double digit growth market with transformative impact across Industries
Leading industry analysts forecasts a CAGR of 54.4 percent through 2020, with a total market spend exceeding USD 46 billion from USD 12.5 billion reach in 2017. The IBM Oracle Digital Transformation practice is in the forefront of bringing enterprise application artificial intelligence solutions to market built on the Oracle Cloud platform, powered by IBM Watson.
Analysts further confirm that this growth is expected across few sets of use cases that transforms the current state of enterprise business practices:
|Top Use Cases
||Five-year CAGR (%)
|Public safety and emergency response
|Pharmaceutical research and discovery
|*Supply and logistics
|*Digital assistants for enterprise knowledge workers
|Quality management investigation and recommendation systems
|*Program advisors and recommendation systems
|Automated threat intelligence and prevention systems
|Asset / fleet management
*indicates available Artificial Intelligence Solutions from IBM powered by IBM Watson and developed on Oracle Cloud platform
Artificial intelligence solution stack from IBM for an Oracle Enterprise:
The IBM Oracle Digital Transformation practice is pioneering the market of artificial intelligence for the Oracle Enterprise. Our clients are developing their strategy to AI adoption and patterns of engagement are emerging like:
1. Developing AI Strategy for Business Transformation
The two limitations of adopting AI in business transformation is lack of a clear understanding of the use case and developing the business case to implement the use cases. The IBM team engages in an upfront strategy workshop to support our clients in developing the business case, tying it to our client’s strategic imperatives and overall Industry imperatives. We have also developed solutions to support the use cases across business functions. These use cases could also be consumed by functional areas like Oracle Cloud HCM Cognitive, Oracle Cloud ERP Cognitive, Oracle Cloud CX Cognitive. During the upcoming, Oracle OpenWorld 2017 the IBM Oracle Digital Transformation Team is bringing to market a wide range of cognitive and artificial intelligence solutions for Oracle clients.
These solutions offer a mix of assisted, augmented and automated artificial intelligence capabilities.
2. Engaging AI with Hybrid Cloud Transformation
Oracle clients are in various stages of Cloud adoption including:
- Lift and shift with Oracle IaaS: As clients move their ERP workloads (Oracle EBS, JD Edwards, PeopleSoft and Siebel) to Oracle’s IaaS, it presents an opportunity to integrate the move with AI. Cognitive solutions from IBM run on both Oracle public cloud and bare metal cloud with REST API calls made to the IBM Watson Developer Cloud.
- Extend, integrate and innovate with Oracle PaaS: IBM has adopted Oracle PaaS platform as the innovation platform to extend, integrate and innovate our Oracle clients Enterprise applications with cognitive capabilities. For example, an Oracle HCM client could seamlessly connect with workforce engagement cognitive advisor solution for onboarding, training and retention of the employee leveraging the Oracle PaaS framework.
- Scale up with Oracle SaaS: For clients that are scaling up with Oracle SaaS, there is opportunity to integrate the SaaS application with a cognitive solution to effectively have an AI enabled SaaS solution. A case in point would be for clients that are considering Oracle SCM cloud and using the procurement cloud for contracts and service management but a traditional ERP like JD Edwards for manufacturing. This client can leverage image recognition cognitive capabilities to identify, replace and replenish failed parts of equipment during a service call and automate the entire field services support from problem identification, resolution and ordering spare parts to closure of the ticket.
- Extending AI capabilities with on-premise deployments: We also have scenarios due to regulatory and other privacy concerns where the deployment strategy of AI has to be tightly integrated with their on-premise applications with strict audit controls and compliance. For these clients, both Oracle and IBM offer enhanced capabilities. Oracle offers Cloud at Customer option for both public cloud and bare metal cloud. Additionally, Oracle also offers the capability to extend on-premise workloads with a virtual network in Oracle’s bare metal cloud as an extension. The IBM Watson Developer Cloud need only be invoked as a REST API at the time of compute while the actual AI solution or application could have an on-premise deployment model.
3. Leveraging AI to automate and build platform solutions
“Things may change in the future, but one rule of thumb today is that almost anything that a typical person can do with less than one second of mental thought we can either now or in the very near future automate with AI.”
Andrew Ng, Chief Scientist, Baidu Inc.
Automation of process and functionality is a key part of building platform solutions. The IBM Oracle practice has adopted automation with several different application areas for the Oracle enterprise:
- IBM has developed industry platform solutions like Direct to Consumer that runs natively on Oracle’s bare metal cloud for clients considering to digitally transform their engagement with consumers.
- Robotic automation can be used to fully automate business process areas like year-end financial close statement using Oracle PBCS or Hyperion.
- Driving cognitive automation into infrastructure managed services and application managed services — reimagine the world where managed services is automated using bots and virtual agents.
These solutions are also planned for display at the IBM booth during Oracle Open World 2017.
Visit the IBM-Oracle Alliance website to learn more about how we can help you maximize your Oracle investments with digital transformation including artificial intelligence. You can also schedule a Booth Tour at Oracle OpenWorld 2017 to see these solution demos and speak with our Oracle Cloud cognitive and artificial intelligence experts.