Tag Archives: Internet of Things
In last 50-60 years, we have witnessed another revolution, through the invention of computing machines and the Internet – a digital revolution. It has transformed every industry and allowed us to operate at far greater scale – processing more transactions and in more locations – than ever before. New cities emerged on the map, migrations of knowledge workers throughout the world followed, and the standard of living increased again. And digitally available information transformed how we run businesses, cities, or countries.
Forces Shaping Digital Revolution
Over the last 5-6 years, we’ve witnessed a massive increase in the volume and variety of this information. Leading forces that contributed to this increase are:
- Next generation of software technology connecting data faster from any source
- Little to no hardware cost to process and store huge amount of data (Moore’s Law)
- A sharp increase in number of machines and devices generating data that are connected online
- Massive worldwide growth of people connecting online and sharing information
- Speed of Internet connectivity that’s now free in many public places
As a result, our engagement with the digital world is rising – both for personal and business purposes. Increasingly, we play games, shop, sign digital contracts, make product recommendations, respond to customer complains, share patient data, and make real time pricing changes to in-store products – all from a mobile device or laptop. We do so increasingly in a collaborative way, in real-time, and in a very personalized fashion. Big Data, Social, Cloud, and Internet of Things are key topics dominating our conversations and thoughts around data these days. They are altering our ways to engage with and expectations from each other.
This is the emergence of a new revolution or it is the next phase of our digital revolution – the democratization and ubiquity of information to create new ways of interacting with customers and dramatically speeding up market launch. Businesses will build new products and services and create new business models by exploiting this vast new resource of information.
The Quest for Great Data
But, there is work to do before one can unleash the true potential captured in data. Data is no more a by-product or transaction record. Neither it has anymore an expiration date. Data now flows through like a river fueling applications, business processes, and human or machine activities. New data gets created on the way and augments our understanding of the meaning behind this data. It is no longer good enough to have good data in isolated projects, but rather great data need to become accessible to everyone and everything at a moment’s notice. This rich set of data needs to connect efficiently to information that has been already present and learn from it. Such data need to automatically rid itself of inaccurate and incomplete information. Clean, safe, and connected – this data is now ready to find us even before we discover it. It understands the context in which we are going to make use of this information and key decisions that will follow. In the process, this data is learning about our usage, preference, and results. What works versus what doesn’t. New data is now created that captures such inherent understanding or intelligence. It needs to flow back to appropriate business applications or machines for future usage after fine-tuning. Such data can then tell a story about human or machine actions and results. Such data can become a coach, a mentor, a friend of kind to guide us through critical decision points. Such data is what we would like to call great data. In order to truly capitalize on the next step of digital revolution, we will pervasively need this great data to power our decisions and thinking.
Impacting Every Industry
By 2020, there’ll be 50 Billion connected devices, 7x more than human beings on the planet. With this explosion of devices and associated really big data that will be processed and stored increasingly in the cloud. More than size, this complexity will require a new way of addressing business process efficiency that renders agility, simplicity, and capacity. Impact of such transformation will spread across many industries. A McKinsey article, “The Future of Global Payments”, focuses on digital transformation of payment systems in the banking industry and ubiquity of data as a result. One of the key challenges for banks will be to shift from their traditional heavy reliance on siloed and proprietary data to a more open approach that encompasses a broader view of customers.
Industry executives, front line managers, and back office workers are all struggling to make the most sense of the data that’s available.
Closing Thoughts on Great Data
A “2014 PWC Global CEO Survey ” showed 81% ranked technology advances as #1 factor to transform their businesses over next 5 years. More data, by itself, isn’t enough for this transformation. A robust data management approach integrating machine and human data, from all sources and updated in real-time, among on-premise and cloud-based systems must be put in place to accomplish this mission. Such an approach will nurture great data. This end-to-end data management platform will provide data guidance and curate an organization’s one of the most valuable assets, its information. Only by making sense of what we have at our disposal, will we unleash the true potential of the information that we possess. The next step in the digital revolution will be about organizations of all sizes being fueled by great data to unleash their potential tapped.
Get connected. Be connected. Make connections. Find connections. The Internet of Things (IoT) is all about connecting people, processes, data and, as the name suggests, things. The recent social media frenzy surrounding the ALS Ice Bucket Challenge has certainly reminded everyone of the power of social media, the Internet and a willingness to answer a challenge. Fueled by personal and professional connections, the craze has transformed fund raising for at least one charity. Similarly, IoT may potentially be transformational to the business of the public sector, should government step up to the challenge.
Government is struggling with the concept and reality of how IoT really relates to the business of government, and perhaps rightfully so. For commercial enterprises, IoT is far more tangible and simply more fun. Gaming, televisions, watches, Google glasses, smartphones and tablets are all about delivering over-the-top, new and exciting consumer experiences. Industry is delivering transformational innovations, which are connecting people to places, data and other people at a record pace.
It’s time to accept the challenge. Government agencies need to keep pace with their commercial counterparts and harness the power of the Internet of Things. The end game is not to deliver new, faster, smaller, cooler electronics; the end game is to create solutions that let devices connecting to the Internet interact and share data, regardless of their location, manufacturer or format and make or find connections that may have been previously undetectable. For some, this concept is as foreign or scary as pouring ice water over their heads. For others, the new opportunity to transform policy, service delivery, leadership, legislation and regulation is fueling a transformation in government. And it starts with one connection.
One way to start could be linking previously siloed systems together or creating a golden record of all citizen interactions through a Master Data Management (MDM) initiative. It could start with a big data and analytics project to determine and mitigate risk factors in education or linking sensor data across multiple networks to increase intelligence about potential hacking or breaches. Agencies could stop waste, fraud and abuse before it happens by linking critical payment, procurement and geospatial data together in real time.
This is the Internet of Things for government. This is the challenge. This is transformation.
As a Tesla owner, I recently had the experience of calling Tesla service after a yellow warning message appeared on the center console of my car.” Check tire pressure system. Call Tesla Service.” While still on the freeway, I voice dialed Tesla with my iPhone and was in touch with a service representative within minutes.
|Me: A yellow warning message just appeared on my dash and also the center console.
Tesla rep: Yes, I see – is it the tire pressure warning?
Me: Yes – do I need to pull into a gas station? I haven’t had to visit a gas station since I purchased the car.
Tesla rep: Well, I also see that you are traveling on a freeway that has some steep elevation – it’s possible the higher altitude is affecting your car’s tires temporarily until the pressure equalizes. Let me check your tire pressure monitoring sensor in a half hour. If the sensor still detects a problem, I will call you and give further instructions.
As it turned out, the warning message disappeared after ten minutes and everything was fine for the rest of the trip. However, the episode served as a reminder that the world will be much different with the advent of the Internet of Things. Just as humans connected with mobile phones become more productive, machines and devices connected to the network become more useful. In this case, a connected automobile allowed the remote service rep to remotely access vehicle data, read the tire pressure sensor as well as the vehicle location/elevation and was able to suggest a course of action. This example is fairly basic compared to the opportunities afforded by networked devices/machines.
In addition to remote servicing, there are several other use case categories that offer great potential, including:
- Preventative Maintenance – monitor usage data and increase the overall uptime for machines/devices while decreasing the cost of upkeep. e.g., Tesla runs remote diagnostics on vehicles and has the ability to identify vehicle problems before they occur.
- Realtime Product Enhancements – analyze product usage data and deliver improvements quickly in response. e.g., Tesla delivers software updates that improve the usability of the vehicle based on analysis of owner usage.
- Higher Efficiency in Business Operations – analyze consolidated enterprise transaction data with machine data to identify opportunities to achieve greater operational efficiency. e.g., Tesla deployed waves of new fast charging stations (known as superchargers) based upon analyzing the travel patterns of its vehicle owners.
- Differentiated Product/Service Offerings – deliver new class of applications that operate on correlated data across a broad spectrum of sources (HINT for Tesla: a trip planning application that estimates energy consumption and recommends charging stops would be really cool…)
In each case, machine data is integrated with other data (traditional enterprise data, vehicle owner registration data, etc.) to create business value. Just as important to the connectivity of the devices and machines is the ability to integrate the data. Several Informatica customers have begun investing in M2M (aka Internet of Things) infrastructure and Informatica technology has been critical to their efforts. US Xpress utilizes mobile censors on its vast fleet of trucks and Informatica delivers the ability to consolidate, cleanse and integrate the data they collect.
My recent episode with Tesla service was a simple, yet eye-opening experience. With increasingly more machines and devices getting wireless connected and the ability to integrate the tremendous volumes of data being generated, this example is only a small hint of more interesting things to come.
We’ve posted three compelling new articles to the Potential at Work for Information Leaders site, including:
- “Will the real Chief Data Officer please stand up?” Some question the need for a new C-level position, arguing that a company’s chief information officer should be the one to oversee an organization’s data. Others argue the CIO is stretched too thin already and a new type of leader must emerge. Where do you stand?
- “Introducing a ‘define once, govern everywhere’ data management style” The sanity afforded by defining data standards only once and applying them anywhere will create time to investigate innovative uses for that data. Information leaders will be much more successful if they spend less time managing projects to recode the same rules across every new application, and instead work with business partners to identify new information opportunities.
- “Rise of the machines: the Internet of Things” Are devices that track our every move poised to unlock new potential in humankind or are they just downright invasive? While privacy remains a critical consideration, this article illustrates the global potential if we can effectively leverage big data to harness the emerging Internet of Things.
For these articles and many more, check out the Potential at Work for Information Leaders community today. Available in nine languages, this site will continue to feature fresh, new ideas to promote the value of information management from a variety of top technology leaders.
Hi everyone! Thanks for joining us for part three of three of this conversation. In this segment, Rick and I will talk about the Internet of Things. In the last part of our conversation we covered how quickly data is being generated. You can find Part 1 and Part 2 of this conversation on my Perspectives author page.
MB: If you think about the latest topic everyone has been talking about is the Internet of Things, and everything connected to the Internet. Let’s talk about what you think will happen from the machine side. In one example GE talks about their jet engines – a terabyte per day just from a single engine and the kind of the optimization and productivity that can come from that type of data control and insight if you will.
RS: There are a couple stories that relate to the Internet of Things. One that’s fascinating is a company in Boston called Ginger I/O that has come up with technology that can predict two days before you get depressed that you’re going to get depressed. When I first heard about this I was pretty skeptical. I met with the head of the company and he explained to me that each of us has a standard pattern of behavior related to travel and activity and two days before any of us show any outward signs of depression your smart phone can detect a change in your normal pattern.
For example determines that your normal radius of travel begins to shrink, the number of emails and tweets that you send goes down and the amount of time you spend at home goes up etc. He told us that people with diabetes have a high correlation of depression and when you get depressed you often have a high correlation of not taking your medicine. And the consequences of not taking your insulin if you have diabetes can be very severe. So people with diabetes are actually installing this program now on their own smartphones and they are setting up an alert that tells their doctor, their kids, their neighbor, their friends just to please check in on them.
Another story about two MIT computer scientists John Guttag and Collin Stultz who created a computer model to analyze formerly discarded EKG data of heart attack patients. By sifting through the massive quantities of data and identifying patterns that lead to greater heart attack risk, they’ve created a model that has the potential to significantly improve today’s risk-screening techniques, which misidentify roughly 70 percent of patients likely to have a repeat heart attack.
MB: Very interesting. So we use the term information potential to relate to all of the things that can happen after a bunch of data is gathered or sourced from somewhere to make it better, make it more ready to make great decisions, to get it to folks at the right time. So when you think about the potential of information in terms of the world what would be the one thing that you would bet on in achieving information potential?
RS: There’s so many examples, but there are a couple that I love because I think they’re unexpected. There is one company called ESRI that does very high resolution satellite mapping that government and cities use for understanding and visualizing cities. ESRI that there were villages in Nigeria that didn’t exist on any map, no one knew these people were there. The Nigerian government simply didn’t have any record that these people existed. The reason this was particularly important was that the Gates foundation was working with the Nigerian government to try to eradicate polio. Nigeria is one of the countries in the world that polio has made a major resurgence. By overlapping the satellite imagery with data coming from the 10,000 GPS enabled cell phones provided by Gates to the inoculation workers they are now able to map in real-time where these workers have been to make sure that every single family is inoculated. You wouldn’t think of using satellite data to eradicate polio in remote places in the developing world.
And look at the Google car where the vehicle is able to navigate at high speed utilizing existing data about the road and incorporating real time information including radar being bounced off the pavement so the car can “see” what’s happening three cars ahead.
MB: We’re really looking forward to seeing you in June for Informatica World. I think what you’ll see at the conference is another 2,000 people with 10,000 stories on how big data is going to change the world one small company or large company at a time. So, thanks so much for your time and we’re really looking forward to seeing you.
RS: Thank you, I can’t wait.
Thanks for your interest in this conversation between Rick and myself. We hope to see you next week in Las Vegas for Informatica World 2013!