Thursday, July 8, 2010

IBM commercials (Post 4 of 4...)

Here's my final post about IBM's "Smarter Planet" campaign! 

  Check out these (recent) longer videos about "Why Data Matters," and more!

April 12, 2010

YouTube video description: "Our everyday lives revolve around systems from energy, to traffic, to supply chains. IBM experts discuss how to integrate efficiency into our current systems and build smarter systems for the future."
Copy: "If you want systems to be closer to intelligent, you have to be able to take different observations from different medias. Just like a human has vision, we have hearing, we have taste and touch, and we integrate these things so we can make sense of the moment. Let’s say that you’re trying to optimize the operations in a city what we call a smart city. Well, you have to integrate energy things with transportation things with water. We have to actually bring it all together and get that clear insight on what its telling us in real-time that would make the system more efficient. What if you could have a system where it see a maybe (senses a maybe) and if it was true, it would matter? What if it could say, What would I need to know to be more sure that its true or not true?
And this new generation is going to figure out what to be curious about and then go look for it on its own. And then resolve the ambiguity and the uncertainty. When you have a new capability like that, its like everything looks like fun. We can apply it into power, we can apply it into life systems, medical systems, transportation, eco systems. And its really cool to see the same set of tools, the same set of insights, bringing value from all of those different places."

April 12, 2010

YouTube video description: "In the neonatal care unit of a Toronto hospital, data streams coming off a baby are analyzed to predict the onset of dangerous diseases. At a facility in Vermont, analyzing data from equipment utilization is leading to more efficient power usage. Find out how data analytics can drive real-time decisions from IBM experts."
Copy: "Isn't everything we do, all of our actions, really driven by data about experiences we've had, what we've liked, what we've not liked? All this goes into making decisions about our lives. And so, it is, in some sense, the whole world is analytics, isn’t it? The whole idea is being able to get that data from all of those usage points, analyze it, and make a real-time decision. In Toronto we have a set up with the neonatal care unit at the hospital. And what we're able to do is actually, the monitors on the baby, taking the data streams that are coming off of the monitors, and then analyzing that data in real time as its coming off the baby. We're able to predict the onset of things like sepsis for the baby 18 to 24 hours before an experienced nurse would have been able to do the same thing. Working on a project now in my home site in Burlington, Vermont. Just by doing analytic data on power usage, we’ve been able to save about 40% of our power. And its not from changing the light bulbs or anything like that. It’s from analyzing the data and making better decisions about how we run the equipment. We had the iron age and atomic age and the computer age. But I think, where we are right now, is were entering the true Analytics Age maybe that’s what we would call it."

March 3, 2010

YouTube video description: "Today, people and machines together create new data at a rate 8 times the amount of data in all of the libraries in the U.S. IBM helps businesses identify trends from data to make intelligent business decisions. Data analysis helps businesses see clearly."
Copy: "Every day we are creating 15 petabytes of new data. That's 8 times as much data as there is in all of the libraries in the United States combined. Facebook is data, tweets are data, conversations are data. It's not just the data that's authored, it's not just the data that people create on their own, it's also machine generated data. We’re at a really interesting inflection point where we now can get enough data together and enough compute power together and enough bandwidth together in real time or near enough real time that I can do something about it. How do you collect and tailor information so as that you can consume it quickly and efficiently and work smarter. As you get more data and you start weaving it together you actually start assembling things you get actual pictures, you’re not staring at pixels anymore, you actually see chunks of the puzzle. If we can analyze and mine this data then we can understand it. And if we can understand it then we can understand trends about it. How do you do that in billions of rows of data? in real time? to service missions from advertising to healthcare to financial services. We've got examples of working with companies where we were able to reduce by 50 percent the churn in their customer base by looking at these kinds of analytics.
Really smart organizations are already making sense of what they know as they come to know it. And then make really fine grained decisions, accurate decisions. That is going to yield benefits in everything, medicine, ecology, resource management even entertainment, and that's whats the great thing by the smarter planet. So a lot of organizations feel overwhelmed by data, but the reality is they have seen nothing yet. You know the more we instrument the world, the more sensors we put out the more data we collect you know you might think we would get inundated but it actually it's the opposite the more data you have the clearer you see."

March 17, 2009

YouTube video description: "Data is present in all the systems and processes in the world. IBM helps analyze this multitude of information to make intelligent decisions, while enabling business efficiency and adding value to many industries.”
Copy: "Today, intelligence is being infused into the systems and processes that make the world work into things no one would recognize as computers: cars, appliances, roads, power gridseven clothing and water. Trillions of digital devices, connected through the Internet, are producing an ocean of data. All this information from the flow of markets to the pulse of societies can be turned into knowledge. Because we now have the computational power and advanced analytics to make sense of it. With this knowledge, we can reduce costs. Cut waste. Improve the efficiency, productivity and quality of everything from companies to cities. The signs of a smarter planet are all around us.
Smarter systems are creating value in every major industry. Across every region in both the developed and developing worlds. In over 400 cities last year, smart traffic systems reduced delays by more than 700,000 hours. Saving each city nearly 15 million dollars. In Washington, smart grid and meter systems saved citizens 10% on their energy bills and cut power usage by 15%. Hamburg has smart healthcare. Madrid has smart public safety. Galway has smart water. Smart supply chains are cutting retailers costs by 30%. Reducing inventory levels by 25%. Increasing sales by 10%. Banks and financial organizations across the globe are achieving new levels of risk control. A smarter planet isn’t a metaphor. Or a vision. Or a proposal. A smarter planet is happening. At the dawn of this new millennium, forward-thinking leaders around the world are creating tangible outcomes and benefits. They are learning how to make their parts of our planet, smarter. Welcome to the decade of smart.”

April 12, 2010

YouTube video description: "When can a piece of data provide information that matters? IBM expert Jeff Jonas explains how context involves taking each transaction, deciding where it fits, and analyzing its surroundings in order to draw insight."
Copy: "The word context gets throw around a lot, but when I say, context, its looking at the things around something to better understand the thing. The question is: How can organizations do that in real time, as fast as they learn something? It's at that moment, if the organization wants to be really responsible and really competitive, they're going to say, Now that I learned this, how does it relate to what I know? Now does that matter and if so to who?
One of the things that organizations have historically been doing is they take the transactions that happens, the piece of data that just happened in the enterprise, which is like a puzzle piece, its like a pixel, and they try to make a decision about whether it's good or bad by staring at the single puzzle piece. Well, there's a real limit to how smart you can be by staring at individual transactions. Contrast that with this notion of accumulating context. You get the next piece of data that happens in the enterprise, and you look at the puzzle and you look at the rest of the data, and now you figure out where it belongs. Sometimes the puzzle piece maybe connects two chucks of the puzzle that you hadn't anticipated. And it's only after you figure out where the puzzle piece goes and you can see the context, the surrounding things around it. That then is your best opportunity to say, Have I learned something that matters? So if you're in public safety you might be finding something that's a risk to the population. And if you're a bank or insurance company maybe it's helping you really better understand your customer.”

April 6, 2010

YouTube video description: "IBM experts emphasize the importance of extracting insights from the vast amount of data generated in our world. These insights can then be used to make real-time decisions that will improve outcomes."
Copy: “With the ability to generate vast amounts of data, its becoming even more important to be able to look at data and to extract insight from the data.The more disparate type of data that you can connect, the more valuable the insights that you can actually develop, the easier it is to make real-time decisions in the world that will improve outcomes. Outcomes in traffic, outcomes in health care, outcomes in utility usage. This data, though it might be very hard to understand and there might be a lot of confusion, but taking a step back, you can mine and find amazing things in that data set that can make your company work much, much smarter and have understandings and insights that you would not have had before. When you look at the way that we treat diseases like cancer, right now it's a very empirical science we treat with drugs and see what works for people. And the more insight we get into the actual biology by looking at the data, looking at the genetic sequences, the more we realize that what we call one disease is actually 20 diseases. And the more we can identify that, the more we can pinpoint therapies, even design therapies. So I think that this notion of being able to use new insights gleaned from data is going to absolutely fundamentally change just about everything we do.”

Data Matters in a Smarter City
(longer video)
May 26, 2010

(The video above came from

Find out more about the UK’s take on this campaign at

And check out their "Smarter Cities" series:
Episode 1 - “The Smarter City” 
(YouTube description: ”In the first film, a vision of smarter Cities is introduced. UK & Irish cities will only become smarter if collaboration between city constituents takes place.”)
Episode 2 - “The Living City” 
(YouTube description: “Film 2 further develops the concept of smarter cities. Initially, the focus is on smarter healthcare and how as cities become increasingly populated, the way in which health and social care is administered must change. The second half of the film focuses on the needs of an educated workforce; in essence, smarter citizens will lead to the creation of smarter cities.”)
Episode 3 - “Powering the City” 
(YouTube description: “The third film addresses why cities must implement a smarter energy system on their journey to become smarter cities.”)
Episode 4 - “City in Motion” 
(YouTube description: “Congestion charging, electric vehicles, traffic management and improved bus and train services are all changing the face of transport - but how do we continuing leveraging these new advances with fewer resources and a growing city population? Smarter transport in smarter cities.”)
Episode 5 - “Developing the City” 
(YouTube description: “The office buildings we inhabit, working patterns and the nature of inward investment are all changing. This film explores how they are contributing to UK smarter cities.”)
Episode 6 - “City of Dreams (3-D version)” 
(YouTube description: “For the final film in the series, we change pace and look to the future, providing a glimpse of what promises to be a Decade of Smart. In 10 years time, our cities are likely to have changed significantly; they will have become smarter cities.”)

And the final two IBM commercials I'd like to share...
March 3, 2010

YouTube video description: "Understanding data patterns is important to industries like healthcare, transportation and energy and utilities. The data visualizations featured within the commercial are based on real data sets taken from organizations across the globe. The volunteered information is shared between clinical and patient hospital divisions, the energy consumed by California residents and traffic patterns in Singapore. For that reason, efficient data management and analysis is essential to a Smarter Planet.”
Copy: “Our planet is alive with data. It's generated by cars on a freeway. Patients in a hospital. Electricity in the grid. The more we understand data, the more answers we find. Patterns are easing traffic in over 400 cities. Finding disease 50 times faster. Reducing energy costs by 10%. On a smarter planet, we can analyze all the data we now see to make the world work better. Let's build a smarter planet.”
(Soundtrack: "Soul Captain" by Viktor Karlsson)

March 2, 2010

YouTube video description: “IBM helps businesses extract insights from data to predict what will happen next and allow for intelligent business decisions.”
Copy: "People get excited about tomorrow. I love yesterday. Yesterday holds the answers. On a smarter planet, we can compare trillions of pieces of data about the past with what is happening now to help anticipate infectious disease, potential blackouts, when a delivery will arrive. I use the past to predict the future. I'm an IBMer. Let's build a smarter planet.”
(Soundtrack: Philip Glass)

Have you learned something useful this week?
I sure have!

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