1 $50 Billion by 2017 Forbes reports that Big Data will grow to $50B by 2017, representing close to a 60% yearly increase. 50 Billion Nodes by 2020 According to Cisco, 80 things per second are connecting to the Internet, and by 2020, 250 things will Empowering the Internet of Things with Adaptive Stream Computing The physical world itself is becoming an information system. Sensors in physical objects from smartphones to manufacturing equipment to traffic cameras are being networked. The vast streaming data they generate is changing the way businesses think about information and how to use it. The potential is tremendous. connect each second. 50 billion things will be connected to the Internet by Increasing Volume and Velocity 46% of businesses consider volume of information to be Adaptive Stream Computing will make vast data stores and streams useful with solutions that are easy to integrate and control, providing significant business insight and competitive advantage. Companies that harness Big Data in real-time to capture and act on information as it is created will eclipse their competition and transform their industries. Solution providers that integrate resident intelligence and control with centralized processing power will dominate their industries by enabling their customers to achieve more than they ever thought possible. their primary data challenge. The Internet of Things will be the biggest point of leverage for IT in the next 10 years, with $14 trillion in profits from that one concept alone. John Chambers, CEO, Cisco
2 1 How BIG is Big Data? Transforming Industries Stream Computing Information Technology is disrupting business models and creating Stream computing analyzes and acts on data as it is created at new opportunities in a series of dramatic waves. We are currently network nodes. These nodes may be anything from Internet seeing the effects of the information revolution progressing from feeds to oxygen monitors, cell phone relays to assembly line simple analytics to Big Data. The next step will be the integration control valves. of Stream Computing, culminating in The Internet of Things, and its economic disruption of entire industries. 2 Facebook Twitter Handheld Devices Walmart Facebook stores and mines over 30 petabytes (30 million gigabytes or 30 billion megabytes) in its systems continuously. Twitter manages 175 million tweets per day from over 450 million accounts. Handheld devices account for tremendous traffic: over 5 billion people call, text, browse and buy from smartphones. Walmart handles and archives more than 1 million customer transactions per hour. Stream Computing is about to meet the Big Data challenge head-on. Consider the Twitter storm analyzing millions of The last decade offered the first information revolution. tweets to cross-reference connections and route trends in With more information at their fingertips, managers became real-time, or Amazon.com tracking popularity of devices able to make more informed decisions than ever before. and cross-referencing past purchases to tailor offerings in Typically, business information was extracted and analyzed real-time. IDC estimates that by 2020, over 400 billion transactions will be performed on the Internet per day. Importantly, real-time data models are about to move from Distributed Models Industry Development the virtual world to the physical one. By taking information For maximum business value, Adaptive Stream Computing As businesses strive for the advantages of big data, focus Recently we have seen this model stretched and revolutionized from sensors on physical objects and acting on them instantly, systems will use several learning and feedback approaches for will shift away from the solved problems of data storage and by the need to accommodate vast levels of data. This shift to utilities are building out systems that re-route power within different types of networks, different parts of the network, acquisition, to the more complex problems of advanced data Big Data technologies has been gaining momentum over the milliseconds upon outages, while the transportation industry and different elements within them, including: management. New approaches enabled by Adaptive Stream last 3-5 years and is accelerating. is looking at ways to reroute shipping based on GPS, weather, from structured central repositories and served up in standard reports or dashboards. and real-time traffic data. The Internet of Things The present phase of the information revolution is poised to be as transformative as the last ones were. The world of things is becoming inter-connected everything from cell phones to motion sensors are generating vast quantities of real-time information, and businesses will need to harness that information-as-power to thrive in an increasingly competitive landscape. Companies that can effectively act on real-world information will garner a major competitive advantage. Those that harness Big Data in real-time to capture and act on information as it is created will eclipse their competition and transform their industries. Human to machine rules based logic; Human to machine supervised pattern recognition Completing the Picture: Adaptive Stream Computing feedback; and Automated machine to machine pattern recognition adaptation on the fly.' Stream Computing of Big Data from the Internet of Things will Above all, systems will need robust error-checking and need Adaptive Characteristics. To be useful, systems will need recovery capabilities to retain transactional integrity. Computing will: Create transparency, discover needs, expose variability and improve performance; Enhance or even replace human decisions with embedded automated and semi-automated logic; and Innovate new business models, products and services. This advancement will be generated in the context of widely to provide: blended networks that include everything from machine to F lexibility to easily create and manage rules that empower machine communication with zero latency (edge processing) managers rather than data scientists, to the point of to batch systems of structured, semi-structured, and automated feedback and learning; unstructured data in the cloud. Extensibility to blend centralized, decentralized, and hybrid data models in and out of the cloud transparently; R esiliency to retain transactional integrity in real-time systems under the most demanding conditions; and The Big Data concept will progress from simply managing data at rest to managing and acting on data in motion. Different industries will drive towards this advancement at different rates, with the most innovative leading the way. As industries mature, the most competitive participants will leverage Big Data and Adaptive Stream Computing in creative ways for significant gain. T he ability to evolve in real-time to execute changes automatically and transparently based on changing conditions in the data stream. As advanced technology becomes more and more prevalent, we have to engage in analysis and diagnosis... even more intensively or risk being swamped by the data we generate. Peter Drucker
3 3 The Opportunity Timing the Market Adaptive Stream Computing is poised to make Big Data The opportunity is here today. Large companies are positioning actionable by businesses. Technology companies that can help themselves to participate in the Big Data and Analytics space their clients transform themselves, and their industries, will with key acquisitions, and the valuation multiples are reaching experience dramatic growth. double digits of revenue. Examples include: According to Gartner, most verticals are already investing heavily in Big Data and Analytics. With the pressures of product launch windows and time to market shortening in an IBM acquiring Visimo, VMware acquiring Cetas Software, ever-accelerating global market, it makes sense that real-time Teradata acquiring (merging with) Aster Data, and business data is being recognized for its ability to engender EMC acquiring Greenplum. much greater efficiency and help business managers create Winning in the Adaptive Stream Computing Space Industries are gradually gaining awareness of their need for not Intelligence Node intelligence must provide fast response also the means to make it useful in the context of distributed times between points in order to make Stream Computing networks and machine-to-machine communications. They are meaningful. Offerings that want to dominate this market learning quickly that useful systems will: will manage structured, unstructured and semi-structured Empower Business Managers, not Technicians The US Bureau of Statistics predicts a shortage of 100,000200,000 IT workers with deep analytical talent, and Investment companies are also putting skin in the game, with another 1.5 million workers with extensive quantitative more than 20 major investments announced in 2013, including skills, by Technology companies that want to gain At the same time, the tremendous continued growth of Applied Predictive Technologies raising $100M, Intel s traction and dominance in the immediate term will need online business is helping change expectations in all sectors. investment in Revolution Analytics, and Hortonworks $50M to empower managers directly without the need for Data Specifically, traditional businesses are eager to replicate online Big Data investment. Scientists to act as intermediaries. smarter systems and make more informed decisions. successes. Amazon s disruption ofthe publishing industry, and Apple s revolutionizing media sales have been important success stories hinged on the tremendous value of Big Data and Adaptive Stream Computing. Traditional businesses are hungry for this type of growth, and aware that if they do not take active steps to embrace Big Data and Adaptive Stream Computing, their competition will. Overall, investment capital in Big Data technologies in the Integrate Edge Computing with Centralized only the means to manage vast quantities of business data, but data to automatically make decisions in real-time when necessary, while leveraging the power, economy, and efficiency of centralized servers for conditions that are better served by that model for economic or practical reasons. Manage Active Content Big Data is just the beginning. first half of 2013 has increased by more than 87 percent Active streams of data generated from the Internet of of the total in all of 2012, and the trend is expected to Things will create vast volumes of data at high velocity. continue into 2014 and beyond. Successful systems will manage transactional data from various incoming systems to make meaningful decisions in Where will this happen? automatic and semi-automatic ways. The need for transactional Big Data is recognized in virtually Market Size every industry that has supply chain, automated control, or rapid transactional needs. The Internet of Things (also IDC estimates the global According to Cisco, 50 billion Big Data market to be over things will be connected by $6.5B in 2013, rising to $17B Over the next 10 years, in 2015 and then well over the Internet of Everything sensors, and much more: $48B by JMP Securities will create $14.4 trillion of W arehousing and Shipping will track goods down to the anticipates that by 2021, Big value at stake, the potential Data will account for fully bottom-line value derived by 13% of IT spending globally. harnessing this data. called The Internet of Everything) will collect streaming data from cars, appliances, smartphones, monitoring individual unit. Manufacturing will detect problems proactively to address Big data will help to create new growth opportunities and entirely new categories of companies, such as those that aggregate and analyze industrial data. Many of these will be companies that sit in the middle of large information flows where data about products and services, buyers and suppliers, and consumer preferences and intent can be captured and analyzed. McKinsey Quarterly Report problems before they occur. Retail will adjust prices on the fly based on instant sales data. Big data is going to transform business. It s not about how, it s about when. Patricia Florissi, Vice President and Global Chief Technology Officer, EMC Transit will reconstruct routes and schedules in real-time. M ilitary and Aerospace will manage and deploy resources based on changing conditions in the field. many companies are (already) implementing new tools for collection, analysis and presentation of treasures buried in big data -- and are reporting impressive ROI as a result. Predictive analytics has jumped to the front of the field as one of the most promising areas of practical application. Doug Gonsalves, Innovation Insights, WIRED Magazine 4
4 5 About Bit Stew Systems Inc. & Grid Director Melbourne, Australia. Bit Stew is strongly positioned to execute Bit Stew Systems Inc. is a world-leading provider of integrated, further establishing itself as a leader in the smart grid network real-time network operations solutions for the utility industry. technology market. Bit Stew s flagship product, Grid Director, is revolutionizing the way the utility industry deploys, operates, secures and optimizes smart grids globally. Grid Director s game-changing approach offers customers an in-depth, interactive and real-time view of their smart grids enabling them to make more agile and informed decisions that elevate their business operations. Grid Director provides real-time analytics, dynamic event management, and quick and easy integration with both IT and OT systems and applications. Supporting both IP-based and proprietary networks, Grid Director is ideal for delivering an enterprise view into large disparate device based networks, while offering predictive analytics, pattern recognition, and complex event correlation. Grid Director is currently in production at several large utilities in the United States, Canada, and Australia and is rapidly becoming the global software standard for electric, gas, and on its rapid growth strategy that involves both geographic expansion, and movement into adjacent utility sectors, Looking Ahead The unique and modular approach used by Bit Stew Systems provides agility and relevance for all kinds of industries that are beginning to understand the power of Big Data and how to best leverage it with dynamic control through Adaptive Stream Computing in the Internet of Things. As such, Bit Stew Systems is in a unique position with Grid Director: Big Data and Stream Computing are fully integrated by design, rather than being bolt-on adaptations for traditional software platforms; The Data Scientist is integrated into product: decision makers can set rules and metrics with natural language rather than program interfaces, or they can have the system teach itself within user-specified parameters; water utilities. The application is built to concurrently manage A Fit for Purpose architecture does the job that s needed by a network of connected devices and has proven scalability to the customer without extras that may never be used, and over one billion end devices making it an ideal platform for the flexibility to add functionality on the fly provides clear managing the Internet of Things. paths for growth; and Founded in 2005, Bit Stew Systems is a privately held company End-point intelligence for autonomous machine-to-machine that is headquartered in Vancouver, British Columbia with communication, embedded analytics and action is built into offices in Mountain View, California; Toronto, Ontario; and the product and integrates with a seamless cloud offering. We expect companies that were born digital to accomplish things that business executives could only dream of a generation ago, but in fact the use of Big Data has the potential to transform traditional businesses as well. It may offer them even greater opportunities for competitive advantage. Andrew McAfee and Erik Brynjolfsson, Harvard Business Review 6 Ensuring Success Bit Stew Systems has a thoughtful strategy to ensure continued success as it adapts its platform to new industries with: A clear value proposition, the ability to prototype A flexible and responsive strategy that will prevent quickly, and a modular approach that will provide quick over-investment with a continued focus on the capability proofs-of-concept to industry players. This easy integration for the technology to adapt quickly to new directions will will also provide a thin edge on which the company can sell ensure that opportunities can be exploited. a core ability at the outset, and leave the opportunity for a fuller offering open to the future. Partnerships, integration with common platforms, and targeted hiring or acquisitions that will create environments where the company is considered an incumbent rather than a newcomer. With a clear path forward informed by a well-developed and adaptable strategy, Bit Stew Systems is in a unique position to deliver on the tremendous promise of the Internet of Things with Adaptive Stream Computing.
5 About the Authors David Sussman (MBA, PMP) and Tony Mauro (P. Eng) are the principals at Sussman and Mauro, a marketing strategy firm specializing in industry analysis, strategy development, and communication in the high-tech sector. The Sussman and Mauro team have extensive experience, extending from the energy sector to telecommunications, cloud services, and related industries. Together, Mr. Sussman and Mr. Mauro bring over 30 years of experience to bear on business problems. In their employment and contracting careers, they have served a wide array of companies including TELUS, BC Hydro, BCTC, Nexon, Creo, Kodak, Corix, and several others. Their approach includes technical, strategic, and marketing perspectives, enabling them to bring a very unique value proposition to their clients and partners. Find us at: GliderLine.com Selected References: Commissioned by Bit Stew Systems Inc. Bit Stew Systems Inc. Learn more at: Follow us on BIT STEW and GRID DIRECTOR are trademarks or registered trademarks of Bit Stew Systems Inc.
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