Presentation-Watson_IoT_Platform-Long-08Feb2016

Editor's Notes

• #4: Cognitive IoT is not explicitly programmed. It learns from experiences with the environment and interactions with people. It brings true machine learning to systems and processes so they can understand your goals, then integrate and analyze the relevant data to help you achieve them.
• #5: There’s massive opportunity to be had, but the IoT also presents a significant data challenge as the scale, complexity and diversity of IoT data threatens to overwhelm traditional computing systems.   Traditional programmable systems are designed to handle specific scenarios and data sets. But IoT data doesn’t play by traditional rules. Images, videos, sound and machine-to-machine data all come together through the IoT. This data is then combined with data sources such as social media, weather reports and enterprise data, which provide additional context and relevancy that sharpens the value of insights.   Because of security concerns, regulatory and compliance requirements, costs, or simply the need for speed, much of this data must be processed at the network edge. IBM Watson technology represents the leading edge of cognitive computing—in fact, it’s virtually the only comprehensive cognitive computing solution. Using natural language to communicate with people, Watson technology virtually eliminates the need for users to know complex coding and have specialized IT expertise. Cognitive computing provides the means for understanding and extending the insights gained from those massive volumes and diverse types of IoT data.   Maybe the most exciting thing about Watson technology is that it may forever shift the conversation from “What is the answer?” to “What are the possibilities?”   In the cognitive era, this is where the true competitive advantage first takes root.
• #15: Secure high volume
• #16: Secure high volume
• #18: PhotonStar LED Group plc has developed an extremely innovative wireless lighting system based on ARM® processor technology that seamlessly integrates LED lighting, sensors and control. The PhotonStar halcyon™ system provides optimized lighting that emulates changing daylight and delivers the right light at the right time for health, productivity and wellbeing. Integrated halcyon network sensors collect real time environmental, behavioral and energy data that enables the system to operate as part of the Internet of Things (IoT) generating information that will drive new business models for PhotonStar and new solutions for their customers. To provide halcyon lighting system customers with online technical support PhotonStar needed a platform to deliver a gateway password reset service, automatic system backup and recovery with remote access for troubleshooting as soon as the halcyon product was launched. PhotonStar is building an Internet of Things (IoT) based customer service platform using the IBM Bluemix platform, Liberty for Java and Cloudant DBaaS. Using IBM® Bluemix™ the development took 10 days and PhotonStar delivered a secure cloud based customer service platform for all of its halcyon product range on time for its product launch.
• #19: Nairobi is one of the world’s fastest-growing cities, which places increasing pressure on its systems and infrastructure. Experts estimate that Nairobi loses up to USD 1 million every day due to congestion’s impact on lost productivity, fuel consumption, traffic accidents, air quality, and many other issues.Road conditions have a wide range of impacts on the lives of Nairobi’s citizens, the efficiency of its businesses and the ability of its government to drive change. Where road conditions are poor or unknown, it is hard to manage traffic effectively. This leads to congestion and dangerous driver behavior, which delay vital civic services such as garbage collection, and in turn, raise public health issues and impact business. IBM Research – Africa’s mobility team realized that a locally relevant solution was the key: Nairobi needed a method of capturing data about road and traffic conditions that would not require the investment and maintenance costs of a traditional solution. The team came up with an elegant, low-cost answer: they installed adapted smartphones in a number of the city’s waste collection trucks. As the trucks drive around the city, the phones’ sensors, such as accelerometers, magnetometers, gyroscopes and GPS, stream data about each vehicle’s location, speed, acceleration and vibration levels to an IBM analytics solution in the cloud. The solution offers huge potential for Nairobi to become an exemplar African smarter city by using a cost-effective and smart approach for gathering actionable insight about traffic flows, while also enabling smarter decisions about street planning and road safety. By building fleet services that capture real-time traffic dynamics, road surface conditions and driver behavior at low cost, IBM and Nairobi are demonstrating to the world how locally relevant, contextualized innovations can increase government efficiency, provide cost-savings across sectors, and create new potential revenue streams.
• #20: A global provider of building infrastructure selected the IBM innovative IoT solution to build their predictive maintenance capabilities enabling them to monitor trends and anticipate potential issues before they arise, helping plan maintenance schedules, improve overall efficiency, reduce downtime, and improve quality of service. IBM IoT solution will help the client constantly monitor the quality of its products and facilities as well as the performance of the equipment to help them in their continuous improvement and business excellence.  The IoT solution will connect up to 100,000 devices during the first 24months and this number is expected to increase exponentially thereafter. IoT platform will collect the data for the connected devices, analyze it, and provide the required business intelligence and real time insights needed to help the manufacturer design better products, fewer recalls, and better quality aligned with their brand identity. The solution will also provide the required visibility to help understand product performance and identify product defects or failure patterns under real-world conditions. This will help our client to predict, forecast, and most importantly provide a better experience for their end users. 
• #21: With an enhanced Internet of Things (IoT) platform, the Chamberlain Group can deliver mobile application services to one million users at a time while providing fast, innovative features that are simple to use. Customers can use their smartphones to open or shut their garage doors with a single touch of the screen or check the current status of their garage doors from anywhere in the world. Customized notifications can also alert users if a door has been left open for a specified amount of time. These functionalities and the ability to provide a seamless user experience to a growing customer base have given the Chamberlain Group a competitive edge in the industry. With the scalability of the new platform, the company is now investigating ways to expand its services to connect with other home and garage products.
• #22: A comprehensive connected appliance initiative is helping one major consumer products company look forward across several major areas of their business: When it comes to customer engagement and service, IoT can help the manufacturer connect with and provide better service to its customers. Connected appliances put customer and machine information at call center representatives’ fingertips at the start of any call. Instead of spending time determining who is calling, which machine they have and what the problem is, the representative will receive the critical information directly from the appliance's diagnostic platform, allowing for faster problem resolution. The customer experience improves with fewer, shorter and more efficient service calls, and a reduction in repeat visits.Warranty, repair and replacement-parts costs comprise the second area in which the client can gain a sharp edge over its competition. Instead of arriving at the customer’s door essentially blind to the cause of an appliance problem and replacing multiple components in the hopes of resolving the issue on the first visit, technicians can carry the right part for the job based on the machine’s own diagnostic information provided to the call center agent. In the future, the company can use the collected sensor data and historical information to predict when a part or component is likely to fail, replacing it before the customer can experience a problem. The manufacturer expects that the cost of replacement parts may drop by at least 50 percent, helping self-fund future design improvements and breakthroughs that can help generate more revenue. Optimized machine operations, future product design and new revenue streams make up the third area in which connected appliances can provide the manufacturer with significant advantage over its competition. For example, IoT analytics can identify analyze items like use frequency and environmental conditions to correlate patterns in service calls and continually improve product and service level offerings
• #29: Natural language Processing Example : A technician asks about symptoms an asset is displaying. The system uses additional context including location and asset data to understand the intent of the query and returns suggestions for possible causes and repairs. Machine Learning Example : The system monitors incoming data from a fleet of equipment to learn both normal and abnormal conditions taking into account environment and production processes which are often unique to each piece of equipment and location. Textual Data Example: An asset analyst uncovers emerging problems and identifies possible root causes by analyzing the unstructured text found in customer problem reports and maintenance logs. Video/Image Analysis Example: Production environments are monitored with video cameras and sensors, and a worker entering a hazardous area without the proper safety equipment is automatically notified and a safety incident is logged.
• #31: Weather is perhaps the single largest external swing factor in business performance – responsible for an annual economic impact of nearly half a trillion dollars in the U.S. alone1. While weather prediction is increasingly precise and granular, business systems generally assume every day is the same. As a result, knowledge of impending extreme weather disruptions – or even routine disruptions that drive well understood behaviors and systemic reactions – don't always trigger operational responses. Combining weather data with traditional business data and rich data from an unprecedented number of Internet of Things (IoT) enabled systems and devices will fundamentally transform enterprise decision-making.
• #33: At its essence, blockchain is a distributed ledger shared via a peer-to-peer network. Each participant has a copy of the ledger’s data, and additions or changes to the chain are propagated throughout the network—but only after the parties in the transaction agree on it. This approach enables participants to dispense with a great deal of reviewing and verifying that adds to the cost and time it takes to complete transactions. Example in real life : Companies could store transactions with suppliers around the globe in a shared blockchain, rather than manually exchanging data from separate databases.  For instance, Car rental agencies could use smart contracts that automatically allow rentals when; your proof of license (Government agency), lease terms (Bank) and insurance information (Insurance co) are confirmed through a blockchain record.  When all of these three agreements are out there on the chain, we form the final agreement, which is, the car is yours and you now own it for the period of time described by the terms of the contract.