El Internet de las Cosas y las Personas con Internet

Notas del editor

• #8: Key points: As we all know, mobile has become a top megatrend—alongside three other key trends: enterprise social, big data, and cloud computing. The numbers being reported by analysts and the press speak for themselves. People are engaging en masse in mobile computing. They love their mobile devices, and they are highly productive on them. In fact, people love their devices so much that in one survey of mobile phone users in the United States, over half said they would give up caffeine, chocolate, alcohol, and other pleasures before giving up their mobile phone. For businesses, mobile is rapidly becoming the new normal and is driving a change in how we work: According to some estimates, by 2016, 350 million employees will use smartphones for business, and 200 million will bring their own. In fact, information workers already use a variety of self-purchased devices to make themselves more productive on the go, even if it is just to access the Internet and check email. One study found that 95 percent of information workers use at least one self-purchased device for work. New powerful, business-ready devices will enable workers to be or stay in the field—close to their work, their teams, and their customers. They will be able to keep key workflows moving and shorten the time it takes to resolve customer issues. Today, nearly eight in ten workers spend at least some of their time working out of the office. Three of those ten workers are currently considered to be fully mobile “anytime, anywhere information workers” who use three or more devices, work from multiple locations, and use lots of apps. For consumers, mobile is equally important: Gartner has predicted that 1.2 billion smartphones and tablets will be shipped in 2013 and that mobile devices accounted for 70 percent of all devices sold in 2012. By the year 2016, mobile devices will put power into the pockets of 1.4 billion consumers. People have never been more accessible and connected. Nearly two-thirds of consumers today use their mobile phones to get information about products, brands, or destinations at least three to four times per week, often looking for information at the point of purchase or decision making. Ninety percent of consumers use multiple screens daily, for instance starting on smartphones, moving to the PC, and perhaps finishing tasks on tablets. The challenge for business and IT leaders is to develop and implement an enterprise-wide mobile strategy together that embraces the opportunity to forge deeper, richer connections with both employees and customers while maintaining enterprise-grade security and availability.   Sources: “Today we characterize 29% of the global workforce as anytime, anywhere information workers -- those who use three or more devices, work from multiple locations, and use many apps.” Forrester Research, “2013 Mobile Workforce Adoption Trends,” February 2013. http://www.forrester.com/2013+Mobile+Workforce+Adoption+Trends/fulltext/-/E-RES89442 “Nearly 80% of workers [spend] at least some portion of their time working out of the office.” Strategy Analytics, “Enterprise Mobility Market 2012 & Beyond,” May 2012. http://mslibrary/research/MktResearch/Others/Pages/StratAnalytics/SAWeb/reports/r07388/report07388.pdf “Nearly two-thirds of consumers now use their mobile/smartphones to obtain information about products, brands or destinations at least three to four days a week.” Fleishman Hillard, “Understanding the role of the Internet in the lives of consumers: 2012 Digital Influence Index Annual Global Study,” January 2012. http://fh.pr/digitalinfluenceindex “65% of U.S. shoppers research products and services on a PC and make a purchase in-store.” Cisco, “Catch and Keep Digital Shoppers,” January 2013. http://www.cisco.com/web/about/ac79/docs/retail/Catch-and-Keep-the-Digital-Shopper_PoV.pdf “‘The global installed base of smartphones will total 1.4 billion by the end of 2013.” ABI Research, Mobile Application Technologies Research Service, January 2013. http://www.abiresearch.com/press/45-million-windows-phone-and-20-million-blackberry “90 percent of consumers use multiple screens daily.” Google, “The New Multiscreen World, Understanding Cross-Platform Consumer Behavior,” August 2012. http://www.google.com/think/research-studies/the-new-multi-screen-world-study.html “Fifty-one percent of CIOs are concerned that the digital torrent is coming faster than they can cope, and 42% don't feel they have the talent needed to face this future.” Aron, Dave, and Graham P. Walker. Taming the digital dragon: the 2014 CIO agenda. Gartner, Inc. December 31, 2013.
• #9: Key points: The total device market is growing – you can see a dramatic increase in tablet growth, and that’s additive.
• #10: Key points: It’s not just tablets. The Internet of Things is opening up a huge opportunity, with devices that are shrinking and requiring less and less power, and getting more connected. IDC estimates the market size at 1.7 trillion (that’s hardware and software, services – the whole thing). The market opportunity is just huge.
• #11: How huge? Ericsson estimated 50B connected devices. Then Morgan Stanley estimated 75B. Then IDC came out with 212B. So we don’t know. But it’ll be huge. And these are non-traditional devices. This is where we really get into that ambient intelligence that Satya touched on – computing everywhere, developing and delivering and making massive amounts of data accessible in ways it hasn’t been before.
• #12: Event Hubs is a highly scalable publish-subscribe ingestor that can intake millions of events per second so that you can process and analyze the massive amounts of data produced by your connected devices and applications. Once collected into Event Hubs you can transform and store data using any real-time analytics provider or with batching/storage adapters. Heterogeneous client agents: Agent libraries reduce the burden of connecting your disparate line-of-business assets. Key goal of slide: As we think about Azure services for IoT, there are a collection of capabilities involved. First there are producers. These can be basic sensors, small form factor devices, traditional computer systems, or even complex assets made up of a number of data sources. Next we have the Event Ingestion capabilities within and around Azure . The primary is Service Bus Event Hubs, but this relies on client agent technology either at the edge device level or within a field or cloud gateway. As data is ingressed to Azure, there can be a number of destinations engaged. Traditional database technology, table or blob storage, or even more complex destinations like Document DB are possible As this data is processed in Azure, there are a number of capabilities that can be utilized. Machine Learning, HD Insight, Stream Analytics are examples of tools that can process the data in various ways. Finally the concept of data presentation uses Azure services. Data may populate a LOB portal, be pushed to apps, or presented in analytics and productivity tools. Through all of these areas, there is the possibility of utilizing existing investments either within your Azure environment, or elsewhere.
• #13: Event Hubs is a highly scalable publish-subscribe ingestor that can intake millions of events per second so that you can process and analyze the massive amounts of data produced by your connected devices and applications. Once collected into Event Hubs you can transform and store data using any real-time analytics provider or with batching/storage adapters. In a moment Sanjay will show you how Pier 1 is truly putting their data to work. They’re experimenting with monitoring in-store activity with the power of Kinect sensors and combining that with data from customer activity on the web. They’re ingesting that through Event hubs and then putting the data that needs further processing into Azure Data Factory to use HDInsight for batch processing. Stream Analytics takes on data as well. Data Factory then moves that data into Blob storage, where it’s further processed and combined with the Analytics data already sent to Azure SQL Database. Then that Azure DB data is sent to Azure ML, where it can then be modeled, made sense out of, to then deliver predictive results to any number of devices and visualization tools. Does this sound like a lot and a lot of things to buy? Perhaps it does. But what you have bought here – all you need to do all this is Azure. That’s the beauty of the cloud.
• #15: Power BI for Office 365 is a complete self-service BI solution delivered through Excel and Office 365 that provides data discovery, analysis, and visualization capabilities to identify deeper business insights from data in Excel. The Power BI for Office 365 service is a cloud-based solution that enable collaboration and reduces the barriers to deploying a BI environment for sharing reports and accessing information.
• #24: Gracias