Big Data for content marketers from a tech industry perspective
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This document appears to be a series of tweets and posts by @arifsh discussing trends in technology including big data, artificial intelligence, augmented and virtual reality. Some key points discussed include the shrinking average age of S&P 500 companies, Ada Lovelace writing what is considered the first computer program in 1842, and predictions that data will become more valuable than oil in the future. The document also makes references to emerging technologies and their potential impacts on industries and jobs.
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Big Data for content marketers from a tech industry perspective
- 2. The Future is Already Here
- 3. The Future is not What We Were Told It Would Be
- 4. @arifsh We're closer to year 2030 than 2000. Average company age on S&P 500 is 12 years - @ValaAfshar invent
- 5. @arifsh the first ad ada lovelace and charles babbage not much power at the time exponential growth @arifsh 1477-
- 6. @arifsh one of the first english printed advertisements was a handbill printed by Caxton in 1477
- 7. @arifsh@arifsh ada lovelace wrote worlds first program in 1842 to compute bernoulli numbers
- 8. @arifsh@arifsh The ENIAC was a 27-ton, 168 square meter bundle of vacuum tubes and diodes
- 9. @arifsh@arifsh 1957: 13 men delivering a computer 2017: a person may wear 13 computing devices
- 10. @arifsh 1969 map of Internet
- 11. @arifshthe “first” banner ad in 1994 by AT&T
- 12. @arifsh Ray Kurzweil Human ability to consume new tech
- 13. @arifsh the more advance we become, the faster we become at advancing. - Ashkan Fardost scientist at uppsala university the law of accelerating return
- 14. my start very different microsoft amazon cloud just started pre iPhone flash time - anyone 2006- @arifsh
- 16. @arifsh tech trends internet of things vs things on net why big data ambient computing as magic 2014- @arifsh
- 17. Keynote @BigData Conference 2015
- 19. @arifsh
- 20. @arifsh
- 24. @arifsh Business leadership imperatives Increase revenue with existing assets Reduce costs and inefficiencies Create new business models
- 26. @arifsh
- 27. @arifsh only machines? a story of how anything can be data Read more at aka.ms/internet-of-cows cows @arifsh
- 28. @arifsh Do cows need to take 10,000 steps a day?
- 29. @arifsh
- 30. @arifsh
- 31. @arifsh
- 32. @arifsh
- 33. @arifsh
- 34. @arifsh
- 35. @arifsh
- 36. @arifsh
- 37. @arifsh
- 38. @arifsh
- 39. @arifsh
- 40. @arifsh@arifsh «Data is the new oil? No: Data is the soil» - David McCandless data journalist
- 41. @arifsh your industry? is traditional content creation dead? what will the future jobs? is big data going to make us useless? 2016 @arifsh
- 42. @arifsh 25 years ago we got a new king gulf war I started live bombing for the first time! 1991- @arifsh
- 43. @arifsh
- 44. @arifsh content analytics? more content created less engagement wasting 90%+ content stop guessing – start predicting marketers @arifsh
- 46. @arifsh content production by marketers increased 78%between 2013 and 2014, but content engagement declined by 60%in the same timeframe. *study by TrackMaven
- 47. @arifsh historical analysis of 2013 content *http://www.convinceandconvert.com/ Top 25% (61 articles), 38,602 Top 25 - 50% (60 articles), 7,824 Bottom 50% (121 articles), 3,266
- 49. @arifsh Result – more views with 77% less posts guess work - 69 posts, 5,054 predictive analytics - 18 posts, 8,134 guess work - 69 posts predictive analytics - 18 posts *http://www.convinceandconvert.com/
- 51. @arifsh
- 52. @arifsh vg creates its first article robot that combines 428 articles to one!
- 53. @arifsh
- 55. future what about blurred reality? brand new experiences 2016- @arifsh
- 58. @arifsh
- 59. @arifsh
- 60. @arifsh
- 61. @arifsh
- 62. @arifsh
- 63. Whats next big thing A new way of computing
- 64. @arifsh@arifsh
- 65. @arifsh@arifsh
- 66. @arifsh@arifsh
- 67. @arifsh
- 69. @arifsh who owns the future few big servers vs many small privacy as commodity extreme micro transaction trend @arifsh
- 73. arif shafique business developer @arifsh medium.com/@arifsh disruptthe industry or be preparedto be disrupted
Notes de l'éditeur
- 1450-1456 -Johann (or Johannes) Gutenberg - creates the movable type printing press
- PC became something everybody started use
- Slide 6: Business leadership imperatives Key Points: Today’s line-of-business decision makers and C-level executives have to take the company into the next era To do that successfully, you must find ways to reduce costs, drive revenue, and create new revenue streams Talk Track: For today’s line-of-business decision makers and C-level executives, it has never been a more exciting—and more tense—time to be in business. The excitement is a result of the dawn of a new era in the enterprise: the digitalization of assets, the connectivity between people and technology, and revolutionary ways to interact with your customers. The tension and pressure are a result of perhaps not knowing exactly how you will embrace and use all of this. Your task as leaders has always been to utilize technology in order to ensure your company’s future relevance and take it well into the next era, which is the era of digitalization and rich customer engagement. In order to do that, you must reduce operational costs and inefficiencies to protect the bottom line. You also have to increase profit with the assets you already have—you’ve made big investments in assets like computers, legacy systems, and devices, so starting over is probably not an option. Finally, you must create entirely novel business models in order to continue to grow your topline revenue—with such a changing landscape in technology and customer expectations, diversification is more important to your success than ever. None of this is new at all, but how you do all of this in an increasingly digital and consumer-driven world is. The short answer is that all this becomes possible when you fully embrace the transformation to a digital business.
- Slide 28: ThyssenKrupp case study <<NOTE: Land your customer case study here – replace as desired – or use the links below to access the case study.>> Key Points: ThyssenKrupp, a leading elevator company, is using Azure IoT services to change the world, one ride at a time. TKE is a perfect example of a company that benefits from IoT all around – improving efficiency, enabling innovation, and driving business transformation. Talk Track: Let’s take a look at a customer seeing significant benefits from Microsoft’s investments in our Cloud Platform related to Internet of Your Things. By 2050, seven out of 10 people will live in cities—3 billion more than today—and this population explosion will have huge implications for how people move in cities and throughout buildings. Keeping elevators running safely and efficiently with all this traffic is key, especially when stairs aren’t an option in very tall skyscrapers. ThyssenKrupp—one of the world’s leading elevator manufacturers and operators—is determined to tackle this challenge and is using the Microsoft Internet of Your Things approach to do it. How do you monitor thousands of elevators in some of the most important buildings throughout the world—the One World Trade Center in New York, the CMA Tower in Saudi Arabia, the Bayshore Hotel in Dalian, China, and many more? All of these elevators in such tall structures get a lot of wear and tear. When an elevator stops working, everything from minor holdups to danger can be the result. TK needed a solution that would give them complete visibility AND actionable methods across all of their systems. Using IoYT technology, TK focused on one thing: reliability. They connected their elevators to the cloud and could gather data from sensors and systems and transform that data into valuable business intelligence. How did they do this? They worked with one of our partners, CGI, to develop a solution that connects all of TK’s “things” to monitor everything: temperature in shaft alignments, cab speed, door functions. This data was provided to their on-the-ground workforce of technicians. Analytics and alerts can now get technicians to elevators that need maintenance before they cause problems, hugely reducing downtime while increasing customer satisfaction. Just going to repair an elevator can be challenging. The technology is intricate and it’s a substantial edge if you know where to begin. Another advantage CGI built in was taking the guesswork out of the repair. An intelligent information loop continuously updates datasets so that there’s little room for error. It’s sometimes called a “virtual troubleshooter.” Elevators are learning and teaching technicians how to fix them. Case Study Link: http://download.microsoft.com/download/B/3/D/B3D96C18-73C5-4353-A579-27B445C318B5/TKE_Microsoft_Internet_of_Things_News_Article.pdf Case Study Video: http://www.youtube.com/embed/SGXTWLQ76jI?enablejsapi=1;autoplay=1;showinfo=0;theme=dark;color=white;wmode=transparent;rel=0
- So these are the connected cows we’re talking about. Notice the pedometers on their legs. They are connected to WiFi. They are sending data into Microsoft’s Azure Cloud about the number of steps the cow is taking. Constantly. Every step from every cow in the dairy farm is being counted. It's Fujitsu's GyuHo - "Cow Step" - service in the cloud.
- But before I give you the answer, let's take a step back. These days, every company is a data company, even the ones you least expect. Even dairy farms. Farms have all the constraints of a typical business. Their output is milk and beef. They need to maximize that output under the constraint of the fixed assets they have - the cow herd, the pasture, and the facilities. They need to reduce loss due to disease, and maximize the efficiency of farm labor, which btw, turns out to be expensive.
- Think of Joe the dairy farmer. What can he do? Here are a couple of things Joe can do. First, he can prevent loss of animals due to disease - detect early, vaccinate and so on. Second, to maximize output, he can maximize calf production by accurate detection of estrus. If you remember high school biology, estrus is the scientific word for when an animal goes into heat and is ready to mate. Being in the mood, so to speak. When the magic is ready to happen. This turns out to be very leveraged as you'll see. But as with all things on this subject it turns out to be harder than it looks. What is Joe to do to detect when the time is right for hundreds of cows? It's a real heat in the haystack problem.
- To see how important accurate estrus detection is, let's look at data from a research paper. These days, with Artificial Insemination, conception rate is typically at 70%. But only if you detect estrus accurately does it work. When you multiply the two probabilities together, you see the effect - at 55% estrus detection rate, which by normal methods is good, you get a 39% probability of calf production. At 95% detection rate, you get 67%, almost 70% improvement over baseline.
- But can you detect at 95% accuracy? It turns out to be hard.
- Estrous lasts only 12-18 hours and like in the case of many mammals it turns out to be mostly between 10pm and 8am. When Joe and his farm hands have other things to do as well. Remember - he gets up at 5am in the morning, and is working his farm, feeding, cleaning, milking, and the hundreds of other tasks he has to do all day.
- Could you use technology to monitor the dairy? Get a “heat map”?
- Here's where human ingenuity steps in. A farmer in Japan asked our partner Fujitsu for help with this problem. Fujitsu consulted a university researcher. Based on some ingenious research that had already been published by then, they came up with a clever detection system. Something that was indeed 95% accurate for the detection of estrus. It's the hottest system for detecting heat.
- This is that system. The Fujitsu GyuHo ("Cow Step") SaaS service on Microsoft Azure. Step count data from the pedometers on each cow are sent over WiFi and the internet to a service on Azure, which analyzes the data and produces alerts for the farmer.
- It turns out there is a simple secret to detecting when a cow is in heat. You see, at the onset of estrus there is a marked increase in the number of steps a cow takes. Right - when the cow feels hot, she starts pacing furiously…. And you can detect this with a simple day over day comparison. This chart, courtesy of Fujitsu, illustrates this well. The X-axis is time of night. Y-axis is the number of steps taken. The lower line is the number of steps on a normal night by our sample cow. The upper line is the number of steps when the cow goes into estrus. The number of steps per hour just shot way up! It turns out that this signal is about 95% accurate for detection of heat, especially in a controlled environment such as the dairy farm. The optimal time for Artificial Insemination is 16 hours from the onset of estrus, for maximum conception rate. That is when AI meets AI.
- So here's the table of actual experimental results from 11 farms over an 8 month period, courtesy of Fujitsu. On an average, they found a 12% increase in calves produced, with some farms as high as 31%. And these benefits do not count the labor savings for monitoring estrus, and the potential benefits of health monitoring of the animals.
- HR analyst technology fashion designer
- as by now have heard me talk a lot about how fast everything is moving let meg give another example that might be relevant
- Data is now the key strategic business asset. Every device, every customer, every activity – everything that’s happening in the world around us - is producing incredibly rich data that can help us create new experiences, new efficiencies, new business models and even new inventions. Leveraging this data can be the differentiator for your business. For example, IDC estimates companies that are leaders in using data assets to their advantage will capture $1.6 trillion more in business value than those that lag behind. While data is pervasive, actionable intelligence from data is elusive. Our customers want to transform data to intelligent action and reinvent their business processes. To do this they need to more easily analyze massive amounts of data – so they can move from seeing “what happened” and understanding “why it happened” to predicting “what will happen” and ultimately, knowing “what should I do”. Only then can they create the intelligent enterprise.
- 18 posts created using the software accrued 8,134 visits from organic search. The other 69 posts created without the software accrued 5,054 organic search visits combined
- I 2008 med et hemmelig prosjekt i en ukjent bygging som var så hemmelig at folk jobbet helt uviten i etagene over flere på. De var veldig overrasket. I høst 2014 kjøpte vi Mojang, minecraft firma for 2.5 milliarder dollar og skype for 8.5 milliarder USD i 2011! Hvorfor i alle dager skulle vi kjøpe det? Powerpoint 14 millioner USD i 1987 Hotmail 500 millioner 1997 Fast for 1.3 millarder og navision Nokia mobile til 7.2 milliarder USD!
- We want to explore the whole spectrum of interactive experiences. This is the reality-Virtual continuum introduced by Paul Migrim. On one side we have physical reality and on the other we have vritual reality, with augmented reality near the middle of the spectrum. We want to explore experiences across this whole spectrum.
- The 2nd wave of virtual reality has lead to an array of Head Mounted Displays that can provide incredibly immersive virtual experiences. Displays like the Oculus Rift can transport us to virtual worlds with incredible immersion and presence. However, with many displays we are completely cut off from the physical world. This leads to what we call:
- It is incredibly difficult to drink a beer. You have to take of the Oculus, drink your beer and then put it back on.
- Lets talk about the elephant in the room, google glass.
- Users can play augmented reality games which dynamically adapt to the room layout, and accept a variety of physical inputs like whacking, stomping, dodging, shooting and steering.
- In contrast RoomAlive uses multiple projectors to cover an entire living room in projected light. We used 6 projectors in an 18x12 ft living room space. Most living rooms have an open floor plan and don’t have 4 walls, so we cover 3 walls and the floor of the room. Projecting light onto all of the furniture in the room. 18x12 ft
- Key messages: We believe our research in service of these three ambitions will lead to what we think of as an “invisible revolution”. Where increases in our capabilities are powered by technology that moves further out of sight. The innovation will come from the shift to the cloud…move from having device power right in front of you magnified and moved to the cloud. Invisible processing power, storage, intelligence, etc. The innovation will come from what’s happening inside and around the device versus the object you can see. Capabilities that come from machine learning, powerful algorithms, cloud, intelligence, and so on. The innovation will come from an ecosystem of computing that surrounds you. Pervasive computing which will become so natural, it disappears into the background. When technology becomes more powerful, but less intrusive, it can fit into more parts of our world and solve an even wider range of problems.
- Key messages: Recent achievements in our industry have been largely centered around “visible” things – phones, tablets, watches, etc….
- Key messages: But tomorrow’s breakthroughs will be increasingly focused on areas that are INVISIBLE. When computing moves to the cloud, it disappears, yet becomes more powerful. When user interfaces become integrated with our environment, and we control them with “natural” controls like voice, gaze, gesture, we don’t even see the computers. When machine learning is at its best, we see the results, not the effort. When computing anticipates our needs, we don’t even notice it. We’re on the cusp of a major technical shift – a shift that will redefine how we experience computing in our lives. MS is well-positioned to be a major player, if not lead the next era.
- Key messages: I’d like to close with one of my favorite quotes about technology, and then build upon it. Arthur C. Clarke… Any sufficiently advanced technology is invisible….so advanced that it disappears….