Hi. In this module, I will introduce you to platforms, what they are, and what they do. We'll take a look at software solutions segment and the services segment. Following on the heels of that, we will take a look at the market potential for those platforms software solutions and services. We are learning outcomes for the material for this week understanding platform software and solutions, software solutions and services and understanding the market potential for these platform software solutions and services. Material as, if I mentioned. This is the picture I drew in the slide deck for last week, chose some physical plant, some physical process has raw materials coming in one side, finished goods coming out of the other side. This is highly instrumented with sensors that are wirelessly connected into a platform. There's a closed loop control system, so control can comeback to control motors and actuators and cause material to flow through the manufacturing process. I talked about what the platform is the glue that pulls system altogether, and the platform can exist on a company premises and actual physical plant and it can extend across to cloud service providers to provide additional compute storage, Machine Learning Analytics, and many other services. We're going to take a look at. Hopefully we'll get to it tonight and I'm able to look at the incredible array of services that IBM Cloud Services offers. It is really incredible, large and constantly changing. Who's heard of the term edge computing or fog computing? Good. So, this notion was when companies like Amazon Web Services and the other array of cloud service providers for us. I would deploy their systems, users noticed and as well as a cloud service providers noticed that when a requests from the physical plant from the customer side was made to the cloud, took many hops and had a number of issues with it. These could be physically distributed systems around the country, around the planet. They typically displayed high latency, high jitter variations in response time and they found it very hard to provide a define quality of service in terms of bandwidth and latency. So, I thought about this for a while and they created what's called fog, or edge computing and this is a portion of the platform and a portion of the cloud services that are located very near the customer premises so that requests from the physical plant only have to take a single hop to get to the servers and the compute and storage and the services. This allowed them to offer low latency, low jitter and quantify and define a certain level of quality of service that the customer could pay for. So, it's typically single hop versus this many hops. This has been pushed to the edge of the cloud, and fog I guess because you can sort to see through it, but the cloud is opaque. So, platform's. I'm going to burst through a bunch of these here. This isn't an industrial but I wanted to start here because we're all familiar with iPhones and I imagine Android is as the same way so I am going to crack open this link, and I'm just going to take a quick look at it here. So, they call their framework, their platform home kit and it consists of software development kits and a lot of documentation. We're not going to go through all of this, but it describes what the capabilities are, what the services are and how to build applications using this particular platform. Quite a bit of information here. They define a bunch of terminology and notions at play if you're an application developer. In this space what you need to know and I'm sure there's pages and pages and pages and pages of documentation associated with that. The interesting one, it's IoTivity. Anyone heard of IoTivity? Good. Cool. It's an open source project hosted by the Linux Foundation and sponsored by OIC which is the open interconnect Consortium. At the time I put this slide together consisted of Samsung, Atmel, Broadcom, Dell, Intel and Wind River and if you're not familiar with Wind River, they are a tool developer and they provide compilers and operating systems and so forth. Again, a software developers kit, API reference, list of all the classes, et cetera et cetera. Discovered that some of the links in these slide decks, when you go click on them, they might not point exactly to the place that they pointed to a year ago because the companies have moved around some of their material but they'll get it close. Again, there's a learn and develop link here, you can go and take tutorials and build sample applications. IBM and Watson. Quite a bit of information here. It's actually somewhat a little overwhelming when you first dive in because of just the depth and width of what IBM has put together is really amazing. So, you can follow this link and do some reading on your own. There's quite a bit here to explore, tremendous amount of capability and they snabbed a quick short video here. I think I have the audio set up correctly. An Internet of Things platform, and the apps written upon it, are at core of any IoT system. IoT apps need to be quickly composed, rapidly and securely deploy and provide insight that matters. As a developer, your role is to make those insights valuable and visible. That is where IBM Watson IoT platform becomes your development platform of choice. The Watson Internet of Things, IoT platform collects and analyzes the IoT data from connected devices and gateways. With the platform, you can analyze data in real time, picking timely actions based on data and callbacks. Combine data with Watson cognitive analytics and machine learning to transform data into insights, providing both predictive and prescriptive analytics. Secure physical IoT devices, networks, data and applications, and enrich apps with over 70 additional services available to support IoT applications. Roll up your sleeves and get started on your first Watson IoT app. Access toolchain templates to outline a basic app structure. Use Node-Red, an open-source visual programming tool to quickly wire components of your app together. See your IoT data come to life in no time, with integrated dashboards that organize and prioritize inbound device data, and even explore IBM Bluemix APIs that seamlessly extend your app functionality using industry-specific accelerators, weather data and tools to analyze structured and unstructured data, for quality such as sentiment and tone analysis. You can easily start your IoT projects using standard services at no charge and gradually ramp up. Our onboarding services give you access to global subject matter experts, whose job is to make you successful. But it's a start your IoT experience and IBM Bluemix selected in a Bluemix catalog. The next one is GE predict. They are also a power house in the industrial Internet of Things space. They're very active in oil and gas and manufacturing. I wanted to reflect back for a moment, last week when I talked about power plant where I worked at, there was a company called Black and Veach, with a V, V.E.A.C.H. Their original business was building power plants. That's what they did. When Utility wanted to build a power plant, they were one of the companies, sent a bid, they would get hired, there would come in and build a whole power plant for them. Black and Veach discovered that they could extend their revenue by offering services which run the data operations, the data management and analysis of collecting all that sensor data. There are 15,000 sensors in that Unit Three generating unit. They analyze all that data, they look for trends that can be accessed remotely, so they were able to extend their business model by not just building power plants but helping utilities operate those power plants. This is happening across the industrial Internet of Things, and all these spaces manufacturing oil and gas agriculture et cetera. Those are the ones that we looked at last week. The next one is Cisco. There are big player as well. Again, they have a platform called Jasper, happens to be the name of my dog. Again this is pretty substantial. I've done some poking around in here and it looks pretty cool. A lot of similar services that we saw that were available and IBM are available here from Cisco. There's another one called Neura for Fitbits. I just included it in here because I didn't know if it was going to take off or not or get traction in the industrial sector. I just included it and again there's documentation examples. I have it here included just for your reference. Many players and that is like I said before it's just a sampling of platform providers.
