The document provides an overview of the industrial internet of things (IIoT). It discusses how IIoT can help businesses by connecting physical assets via sensors and data collection. The document also notes that IIoT growth will be driven by expanded connectivity, high mobile adoption rates, lower sensor costs, and corporate investment. However, security, privacy, implementation challenges, and fragmentation pose barriers to IIoT growth. The document highlights how IIoT data and analytics can provide operational insights and high value business intelligence when combined with operational context.
To obtain a foundational understanding of how the Internet of Things applies to your business, begin by exploring the answers to five key questions. To learn more, check out our special Internet of Things section in Deloitte Review Issue 17: http://deloi.tt/1TwfcmI
The Internet of Things Conference at E4rAVe [PUBS]
This conference puts IoT in context for AV professionals, focusing on the potential opportunities in this burgeoning technology field. The conference begins with a session on how digitization and IoT have changed how the world works, leading to endless prospects for AV professionals. Other conference sessions showcase real-world IoT applications, as well as in-depth discussions of critical IoT-related issues, including security and data analysis.
To obtain a foundational understanding of how the Internet of Things applies to your business, begin by exploring the answers to five key questions. To learn more, check out our special Internet of Things section in Deloitte Review Issue 17: http://deloi.tt/1TwfcmI
The Internet of Things Conference at E4rAVe [PUBS]
This conference puts IoT in context for AV professionals, focusing on the potential opportunities in this burgeoning technology field. The conference begins with a session on how digitization and IoT have changed how the world works, leading to endless prospects for AV professionals. Other conference sessions showcase real-world IoT applications, as well as in-depth discussions of critical IoT-related issues, including security and data analysis.
Improving Energy Efficiency of Intelligent Buildings with Smart IoT RetrofitsMark Benson
Presented at AHR in Las Vegas on February 1st, 2017.
ABSTRACT: With fast approaching energy regulations and increased competitive pressures, reducing energy consumption has never been more important for building managers. This talk introduces a series of smart Internet of Things (IoT) retrofit technologies that can be used to meet regulatory requirements, reduce operational expenses, and increase competitive position.
A look at what is the Internet of Things from the minds at https://losant.com
Truly, it's all about adding value to your life, business, and customers.
Gartner projects more than 20 billion connected IoT devices by end of 2020, http://www.gartner.com/newsroom/id/3165317.
My exact definition is:
The Internet of Things Is a term that represents a collection of ideas, devices, and processes.
Each thing is represented by a device or sensor.
These things are usually working together to create larger solutions by sending and reacting to data from an eco-system.
IoT Startup State of The Union 2016--Wing Venture CapitalMartin Giles
At Wing, we have spent the past few months researching the state of the Internet of Things startup ecosystem. This presentation summarizes some of our initial high-level findings. An accompanying commentary can be found at www.wing.vc/blog
IOT is going to be very big and the fitness, health club and gym industry are no exception. To lead the adoption of IOT requires thoughtful strategy and a clear road map for implementation.
Businesses across the world are rapidly leveraging the Internet-of-Things (#IoT) to create new products and services that are opening up new business opportunities and creating new business models.
The resulting transformation is ushering in a new era of how companies run their operations and engage with customers. However, tapping into the IoT is only part of the story [6].
For companies to realize the full potential of IoT enablement, they need to combine IoT with rapidly-advancing Artificial Intelligence (#AI) technologies, which enable ‘smart machines’ to simulate intelligent behavior and make well-informed decisions with little or no human intervention [6].
This talk explores the efficiencies that organizations achieve when they deploy IoT. It draws upon a series of case studies across different industries including autos, aircraft, farm equipment and farming, logistics, aircraft engines, and healthcare.
What happens in the Innovation of Things?Kim Escherich
From the ComputerWorld Internet of Things conference in Copenhagen October 27 2015. On definitions, markets, trends, needed capabilities and how to implement using IBM BlueMix.
Making IoT Data Actionable Using Predictive AnalyticsHPCC Systems
As part of the 2018 HPCC Systems Summit Community Day event:
This is a proof-of-concept where an HPCC Systems cluster is used to gather current IoT device data from opt-in subscribers. The cluster's architecture and collected data will be described in the presentation, as well as the additional datasets (e.g. property characteristics, weather, etc.) brought in to enhance the data for analysis using predictive analytics for potential applications in the insurance industry.
Dan Camper has been with LexisNexis Risk for four years and is a Senior Architect in the Solutions Lab Group. He has worked for Apple and Dun & Bradstreet, and he ran his own custom programming shop for a decade. He's been writing software professionally for over 35 years and has worked on a myriad of systems, using a lot of different programming languages. He thinks ECL is pretty neat.
Hicham Elhassani is VP Modeling with LexisNexis Risk Solutions.
How to Profit from IoT (Internet of Things)
Is there profit to be made from IoT? Is it right for your business? Join us for an accessible overview of IoT in manufacturing environments.
Find out if you should be looking more closely at IoT for your company, what it costs, and how to get started.
Targeted to senior-level managers, whether you know a little or a lot about IoT -- or even nothing at all -- this presentation will get you smart, fast.
You’ll get answers to these questions and more:
1. What is IoT?
2. Should I consider IoT for my business?
3. What is an example of an IoT manufacturing solution and how does it work?
4. Can I afford it, can I do it internally, and where do I start?
Takeaways:
You’ll come away from this webinar with a better awareness and understanding of how IoT initiatives can drive profit for your manufacturing company. You’ll receive expert tips and tricks gleaned from experts in the software and IoT industry that will help you avoid making big mistakes. And you’ll learn how to select the IoT initiatives that are most likely to make a difference, and a profit, for your company.
It is very exciting indeed to release this document of some IoT case studies deployed in India. You will find in the following pages, there are several IoT use cases across industry verticals, addressing a variety of business needs. These are a select list and showcase a range of situations and benefits achieved. IoT is already impacting a wide range of businesses in India!
These use cases are grouped by the business need being addressed by them. Smart Manufacturing / Industry 4.0 section consists of use cases focused on improving factory operations; the Supply Chain segment has use cases related to improving efficiency of the entire value chain of any business and the Service Operations use cases impact the enterprises that provide customer services of any kind. Transportation & Logistics, Healthcare, Smart Governance & Smart Utilities have use cases that are unique to the industry they are deployed in.
We hope that the stories in this document excites you about the potential impact IoT can have on enterprises in India. However, the fact is that the opportunity of IoT is limitless and open to imagination. As dedicated IoT networks are rolled out and the ecosystem is strengthened, IoT is set to become an integral conversation in any organisation’s digital transformation journey.
Basic introduction,working(steps involved and hierarchy as how IoT works) description on applications related to IoT and casual examples on the applications and the hype cycle of IoT. At the end there is a formal conclusion regarding IoT and the future related.
In the second in our series of IoT presentations we will be providing more in-depth information on:
- How IoT can transform a business
- Key components of IoT solution
- How IoT projects work
- Do's and Don'ts in IoT projects
Improving Energy Efficiency of Intelligent Buildings with Smart IoT RetrofitsMark Benson
Presented at AHR in Las Vegas on February 1st, 2017.
ABSTRACT: With fast approaching energy regulations and increased competitive pressures, reducing energy consumption has never been more important for building managers. This talk introduces a series of smart Internet of Things (IoT) retrofit technologies that can be used to meet regulatory requirements, reduce operational expenses, and increase competitive position.
A look at what is the Internet of Things from the minds at https://losant.com
Truly, it's all about adding value to your life, business, and customers.
Gartner projects more than 20 billion connected IoT devices by end of 2020, http://www.gartner.com/newsroom/id/3165317.
My exact definition is:
The Internet of Things Is a term that represents a collection of ideas, devices, and processes.
Each thing is represented by a device or sensor.
These things are usually working together to create larger solutions by sending and reacting to data from an eco-system.
IoT Startup State of The Union 2016--Wing Venture CapitalMartin Giles
At Wing, we have spent the past few months researching the state of the Internet of Things startup ecosystem. This presentation summarizes some of our initial high-level findings. An accompanying commentary can be found at www.wing.vc/blog
IOT is going to be very big and the fitness, health club and gym industry are no exception. To lead the adoption of IOT requires thoughtful strategy and a clear road map for implementation.
Businesses across the world are rapidly leveraging the Internet-of-Things (#IoT) to create new products and services that are opening up new business opportunities and creating new business models.
The resulting transformation is ushering in a new era of how companies run their operations and engage with customers. However, tapping into the IoT is only part of the story [6].
For companies to realize the full potential of IoT enablement, they need to combine IoT with rapidly-advancing Artificial Intelligence (#AI) technologies, which enable ‘smart machines’ to simulate intelligent behavior and make well-informed decisions with little or no human intervention [6].
This talk explores the efficiencies that organizations achieve when they deploy IoT. It draws upon a series of case studies across different industries including autos, aircraft, farm equipment and farming, logistics, aircraft engines, and healthcare.
What happens in the Innovation of Things?Kim Escherich
From the ComputerWorld Internet of Things conference in Copenhagen October 27 2015. On definitions, markets, trends, needed capabilities and how to implement using IBM BlueMix.
Making IoT Data Actionable Using Predictive AnalyticsHPCC Systems
As part of the 2018 HPCC Systems Summit Community Day event:
This is a proof-of-concept where an HPCC Systems cluster is used to gather current IoT device data from opt-in subscribers. The cluster's architecture and collected data will be described in the presentation, as well as the additional datasets (e.g. property characteristics, weather, etc.) brought in to enhance the data for analysis using predictive analytics for potential applications in the insurance industry.
Dan Camper has been with LexisNexis Risk for four years and is a Senior Architect in the Solutions Lab Group. He has worked for Apple and Dun & Bradstreet, and he ran his own custom programming shop for a decade. He's been writing software professionally for over 35 years and has worked on a myriad of systems, using a lot of different programming languages. He thinks ECL is pretty neat.
Hicham Elhassani is VP Modeling with LexisNexis Risk Solutions.
How to Profit from IoT (Internet of Things)
Is there profit to be made from IoT? Is it right for your business? Join us for an accessible overview of IoT in manufacturing environments.
Find out if you should be looking more closely at IoT for your company, what it costs, and how to get started.
Targeted to senior-level managers, whether you know a little or a lot about IoT -- or even nothing at all -- this presentation will get you smart, fast.
You’ll get answers to these questions and more:
1. What is IoT?
2. Should I consider IoT for my business?
3. What is an example of an IoT manufacturing solution and how does it work?
4. Can I afford it, can I do it internally, and where do I start?
Takeaways:
You’ll come away from this webinar with a better awareness and understanding of how IoT initiatives can drive profit for your manufacturing company. You’ll receive expert tips and tricks gleaned from experts in the software and IoT industry that will help you avoid making big mistakes. And you’ll learn how to select the IoT initiatives that are most likely to make a difference, and a profit, for your company.
It is very exciting indeed to release this document of some IoT case studies deployed in India. You will find in the following pages, there are several IoT use cases across industry verticals, addressing a variety of business needs. These are a select list and showcase a range of situations and benefits achieved. IoT is already impacting a wide range of businesses in India!
These use cases are grouped by the business need being addressed by them. Smart Manufacturing / Industry 4.0 section consists of use cases focused on improving factory operations; the Supply Chain segment has use cases related to improving efficiency of the entire value chain of any business and the Service Operations use cases impact the enterprises that provide customer services of any kind. Transportation & Logistics, Healthcare, Smart Governance & Smart Utilities have use cases that are unique to the industry they are deployed in.
We hope that the stories in this document excites you about the potential impact IoT can have on enterprises in India. However, the fact is that the opportunity of IoT is limitless and open to imagination. As dedicated IoT networks are rolled out and the ecosystem is strengthened, IoT is set to become an integral conversation in any organisation’s digital transformation journey.
Basic introduction,working(steps involved and hierarchy as how IoT works) description on applications related to IoT and casual examples on the applications and the hype cycle of IoT. At the end there is a formal conclusion regarding IoT and the future related.
In the second in our series of IoT presentations we will be providing more in-depth information on:
- How IoT can transform a business
- Key components of IoT solution
- How IoT projects work
- Do's and Don'ts in IoT projects
SNViz: Analysis-oriented Visualization for the Internet of Thingsbenaam
The Internet is evolving from a network of comput- ers to a network of devices, e.g., phones, smart meters, traffic cameras, and air quality sensors. In this Internet of Things, large amounts of data generated by everyday objects can often be organized into data streams, where each data stream is a time series of sensor values sampled together. Visualization is an easy-to-use, efficient, and effective method to present this heterogeneous data to large and diverse audiences, and enable its analysis by users without programming background. Although general data-storage and sharing systems for the Internet of Things, like Pachube and Sensor.Network, offer some basic visualizations, they do little to help users understand relations and patterns hidden in the data, nor do they support live updates to the underlying data streams. Other systems, like Biketastic and the Copenhagen Wheel, feature more complex visualizations but are tailored for a specific application domain and do not address heterogeneous data streams. In this paper, we present SNViz, a Web browser-based AJAX application built using Protovis for visual analysis of large, heterogeneous, and live data streams in the Internet of Things. Besides offering panning and zooming for a detailed look at smaller data subsets, SNViz offers brush-and- linking across multiple visualizations. The latter is invaluable in helping users understand and analyze relationships and patterns hidden in the data. Although SNViz currently works by accessing JSON representations of data streams from Sensor.Network over HTTP, it can be extended to work with other data sources (e.g., wireless sensor network devices or smartphones) and even customized for specific applications.
This work was presented at the Internet of Things conference (www.iot2010.org).
Visualization of IoT data with minecraftLars Gregori
Slides for Devoxx 2015 in Belgium about IoT Data, HANA and Minecraft. Source code for these slides are available here: https://github.com/choas/IoT-Minecraft
IFML - Internet of Things and Internet of People: The Role of User Interactio...Marco Brambilla
User interaction plays a crucial role in every system. This is true for IoT too. Sensors, actuators and intelligent things connected together can cooperate and exchange information, but their ultimate goal is to provide value to people. Such value can be perceived only through appropriate user interfaces, which visualise information (through dashboard, reports, or infographics), let user navigate the information, and also interact with the devices, by setting properties or regulating their behavior. That's why it's important that in the IIoT development context we consider also user interaction. This presentation introduces IFML, the Interaction Flow Modeling Language, a new OMG standard that focuses on user interfaces and their integration with information systems, data sources, sensors and actuators. The presentation reports on some success stories from the industry, where IFML has been successfully applied. Large scale examples include consumer-oriented user interfaces, backend systems, data analysis dashboards, and interactions for command and control. Adopters include GE, Acer Computer, manufacturing, banks, utilities and military.
Bio: Marco Brambilla is professor of software engineering at Polytechnic University of Milan, in Italy. He is also partner of WebRatio Inc. and founder of the startup Fluxedo. He has been visiting researcher at University of California, San Diego, CISCO, San José, and Dauphine University, Paris. He has extensive experience in model-driven methods and languages, and he published several books in the field of model-driven specifications of user interactions. He is the main promoter and designer of the language IFML (Interaction Flow Modeling Language), which has been adopted as a standard by the OMG in 2014. His research interest span model-driven development, web technologies, crowdsourcing, social network and big data analysis. WebRatio produces a model-driven tool for Web, Mobile and IoT development based on IFML, providing full code generation for enterprise-class applications.
AWS re:Invent 2016: IoT Visualizations and Analytics (IOT306)Amazon Web Services
In this workshop, we focus on visualizations of IoT data using ELK, Amazon Elasticsearch, Logstash, and Kibana or Amazon Kinesis. We will dive into how these visualizations can give you new capabilites and understanding when interacting with your device data from the context they provide on the world around them.
Will SCADA Systems Survive? The Future of Distributed Management SystemsTibbo
What are common features of IIoT and SCADA/HMI and differences between them? And what advantages do Intenet of Things Platforms have over SCADA Systems? Find out answers in the Presentation.
IoT Architecture - are traditional architectures good enough?Guido Schmutz
Independent of the source of data, the integration of event streams into an Enterprise Architecture gets more and more important in the world of sensors, social media streams and Internet of Things. Events have to be accepted quickly and reliably, they have to be distributed and analysed, often with many consumers or systems interested in all or part of the events. Dependent on the size and quantity of such events, this can quickly be in the range of Big Data. How can we efficiently collect and transmit these events? How can we make sure that we can always report over historical events? How can these new events be integrated into traditional infrastructure and application landscape?
Starting with a product and technology neutral reference architecture, we will then present different solutions using Open Source frameworks and the Oracle Stack both for on premises as well as the cloud.
Unified Analytics in GE’s Predix for the IIoT: Tying Operational Technology t...Altoros
Learn how to achieve holistic operational visibility into IIoT business environments by correlating the data from Operational Technology and IT, and organizing it as a single pane of glass in accordance with business processes.
Attaining IoT Value: How To Move from Connecting Things to Capturing InsightsSustainable Brands
Cisco estimates that the Internet of Everything (IoE) — the networked connection of people, process, data, and things — will generate $19 trillion in Value at Stake for the private and public sectors combined between 2013 and 2022. More than 42 percent of this value — $8 trillion — will come from one of IoE’s chief enablers, the Internet of Things (IoT). Defined by Cisco as “the intelligent connectivity of physical devices, driving massive gains in efficiency, business growth, and quality of life,” IoT often represents the quickest path to IoE value for private and public sector organizations.
This paper combines original and secondary research, as well as economic analysis, to provide a roadmap for maximizing value from IoT investments. It also explains why, in the worlds of IoT and IoE, the combination of edge computing/analytics and data center/cloud is essential to driving actionable insights that produce improved business outcomes.
The Internet Of Things will have an increasing impact to all industries and health and fitness are no exception. This definitive guide provides a blue print for the things we all need to keep in mind as we adopt the IOT revolution.
Integrating AI into IoT networks is becoming a prerequisite for success in today’s data-driven digital ecosystems. The only way to keep up with IoT-generated data and gain the hidden insights it holds is using AI as the catalyst of IoT. Watch this slides to understand how IoT and AI may work together.
Integrating AI into IoT networks is becoming a prerequisite for success in today’s data-driven digital ecosystems. The only way to keep up with IoT-generated data and gain the hidden insights it holds is using AI as the catalyst of IoT. Join this webinar to understand how IoT and AI may work together.
Presentation on iot market report, internet industry report, growth, overview, size, share, opportunities, company profiling, trends & forecast 2015-2021
The Internet of Things - beyond the hype and towards ROIPerry Lea
How do you move beyond the hype of IoT and towards profitability? This short lecture examines the hype and origin of IoT and the reality of the industry. It then talks about my experiences with the industry, customers, and technologists. Some have outright failed in IoT projects, others are succeeding.
Get beyond the prototype and lab experiment.
The emerging global trends in IoT are discussed in this presentation. We also look at various other trends in IoT which is now a very common factor that is being used all over the globe
IoT Meetup Hamburg 3 February 2015 - Getting Hamburg set-up for the Internet ...Knud Lasse Lueth
This is the presentation that I held at the 3rd IoT Meetup Hamburg on February 5, 2015.
The presentation includes a number of competitive intelligence analyses on the Internet of Things. It does not include the results from the breakout sessions.
IoT Meetup Hamburg 3 February 2015 - Getting Hamburg set-up for the Internet ...IoTAnalytics
This is the presentation that we held at the 3rd IoT Meetup Hamburg on February 5, 2015.
The presentation includes a number of competitive intelligence analyses on the Internet of Things. It does not include the results from the breakout sessions.
The Future of IoT Development Trends and Predictions.pdfDark Bears
The interconnected world we live in is about to experience another wave of transformation, all thanks to the rapid advancements in the Internet of Things (IoT). The phrase “The Future of IoT Development: Trends and Predictions” might sound like a glimpse into a science fiction novel, but it’s closer to reality than you might think.
Senior Executives in National and International SecurityStephen Bates
Harvard Kennedy School offers a mid-to-senior level course for Senior Executives in National and international Security. While the topical matter changes slightly depending on geopolitical conditions, the core curriculum remains the same. Stephen Bates, NSGS member and 2014 graduate, will give an overview of the course curriculum, caliber of instructors and fellow attendees,
application process, and AMA (Ask Me Anything).
DISA Enterprise Storage Services Contract White PaperStephen Bates
Was given 24 hours to turn around a 3 page strategy paper for how EMC should approach the DISA Enterprise Storage Services Contract. Hired on the spot.
Techniques to optimize the pagerank algorithm usually fall in two categories. One is to try reducing the work per iteration, and the other is to try reducing the number of iterations. These goals are often at odds with one another. Skipping computation on vertices which have already converged has the potential to save iteration time. Skipping in-identical vertices, with the same in-links, helps reduce duplicate computations and thus could help reduce iteration time. Road networks often have chains which can be short-circuited before pagerank computation to improve performance. Final ranks of chain nodes can be easily calculated. This could reduce both the iteration time, and the number of iterations. If a graph has no dangling nodes, pagerank of each strongly connected component can be computed in topological order. This could help reduce the iteration time, no. of iterations, and also enable multi-iteration concurrency in pagerank computation. The combination of all of the above methods is the STICD algorithm. [sticd] For dynamic graphs, unchanged components whose ranks are unaffected can be skipped altogether.
Explore our comprehensive data analysis project presentation on predicting product ad campaign performance. Learn how data-driven insights can optimize your marketing strategies and enhance campaign effectiveness. Perfect for professionals and students looking to understand the power of data analysis in advertising. for more details visit: https://bostoninstituteofanalytics.org/data-science-and-artificial-intelligence/
Adjusting primitives for graph : SHORT REPORT / NOTESSubhajit Sahu
Graph algorithms, like PageRank Compressed Sparse Row (CSR) is an adjacency-list based graph representation that is
Multiply with different modes (map)
1. Performance of sequential execution based vs OpenMP based vector multiply.
2. Comparing various launch configs for CUDA based vector multiply.
Sum with different storage types (reduce)
1. Performance of vector element sum using float vs bfloat16 as the storage type.
Sum with different modes (reduce)
1. Performance of sequential execution based vs OpenMP based vector element sum.
2. Performance of memcpy vs in-place based CUDA based vector element sum.
3. Comparing various launch configs for CUDA based vector element sum (memcpy).
4. Comparing various launch configs for CUDA based vector element sum (in-place).
Sum with in-place strategies of CUDA mode (reduce)
1. Comparing various launch configs for CUDA based vector element sum (in-place).
Show drafts
volume_up
Empowering the Data Analytics Ecosystem: A Laser Focus on Value
The data analytics ecosystem thrives when every component functions at its peak, unlocking the true potential of data. Here's a laser focus on key areas for an empowered ecosystem:
1. Democratize Access, Not Data:
Granular Access Controls: Provide users with self-service tools tailored to their specific needs, preventing data overload and misuse.
Data Catalogs: Implement robust data catalogs for easy discovery and understanding of available data sources.
2. Foster Collaboration with Clear Roles:
Data Mesh Architecture: Break down data silos by creating a distributed data ownership model with clear ownership and responsibilities.
Collaborative Workspaces: Utilize interactive platforms where data scientists, analysts, and domain experts can work seamlessly together.
3. Leverage Advanced Analytics Strategically:
AI-powered Automation: Automate repetitive tasks like data cleaning and feature engineering, freeing up data talent for higher-level analysis.
Right-Tool Selection: Strategically choose the most effective advanced analytics techniques (e.g., AI, ML) based on specific business problems.
4. Prioritize Data Quality with Automation:
Automated Data Validation: Implement automated data quality checks to identify and rectify errors at the source, minimizing downstream issues.
Data Lineage Tracking: Track the flow of data throughout the ecosystem, ensuring transparency and facilitating root cause analysis for errors.
5. Cultivate a Data-Driven Mindset:
Metrics-Driven Performance Management: Align KPIs and performance metrics with data-driven insights to ensure actionable decision making.
Data Storytelling Workshops: Equip stakeholders with the skills to translate complex data findings into compelling narratives that drive action.
Benefits of a Precise Ecosystem:
Sharpened Focus: Precise access and clear roles ensure everyone works with the most relevant data, maximizing efficiency.
Actionable Insights: Strategic analytics and automated quality checks lead to more reliable and actionable data insights.
Continuous Improvement: Data-driven performance management fosters a culture of learning and continuous improvement.
Sustainable Growth: Empowered by data, organizations can make informed decisions to drive sustainable growth and innovation.
By focusing on these precise actions, organizations can create an empowered data analytics ecosystem that delivers real value by driving data-driven decisions and maximizing the return on their data investment.
4. The Industrial Internet of Things
4
“ The Industrial Awakening will
generate $14.2 trillion of global
output by 2030. ” KleinerPerkins
“75 Billion Devices Will Be
Connected To The Internet Of
Things By 2020” MorganStanley
40% of the IoT’s total potential
economic value can be unlocked
only by solving interoperability
challenges. ~McKinsey 2015
5. Citing my sources
• Intelligence Business Insider
• Vendor Competitive Intelligence
• Gartner: Internet of Things
• Verizon: Internet of Things 2015
• Cisco: Internet of Everything
• Harvard Business Review
• Deloitte University
• Mary Meeker Internet Trends Report, Kleiner-Perkins
• Mobile World Congress 2015
• O’Reilly SOLID
• Interviews with trusted authoritative data sources
5
6. Glossary….
• Internet of Things: A network of internet-connected objects
able to collect and exchange data using embedded sensors.
• Internet of Things device: Any stand-alone internet-
connected device that can be monitored and/or controlled
from a remote location.
• Internet of Things ecosystem: All the components that enable
businesses, governments, and consumers to connect to their
IoT devices, including remotes, dashboards, networks,
gateways, analytics, data storage, and security.
• Entity: Includes businesses, governments, and consumers.
• Physical layer: The hardware that makes an IoT device,
including sensors and networking gear.
• Network layer: Responsible for transmitting the data
collected by the physical layer to different devices.
6
7. Glossary continued…
• Application layer: This includes the protocols and interfaces
that devices use to identify and communicate with each other.
• Remotes: Enable entities that utilize IoT devices to connect
with and control them using a dashboard, such as a mobile
application. They include smartphones, tablets, PCs,
smartwatches, connected TVs, and nontraditional remotes.
• Dashboard: Displays information about the IoT ecosystem to
users and enables them to control their IoT ecosystem. It is
generally housed on a remote.
• Analytics: Software systems that analyze the data generated
by IoT devices. The analysis can be used for a variety of
scenarios, such as predictive maintenance.
• Data storage: Where data from IoT devices is stored.
• Networks: The internet communication layer that enables the
entity to communicate with their device, and sometimes
enables devices to communicate with each other.
7
12. 1957: 13 men delivering a computer
2017: a person may wear 13 computing devices
~ 2015 Mobile World Congress
12
13. Parking is a great IoT example
•Parking availability IoT
•Networked sensors
•Mobile payments vs coin
•Auto-updates boards,
smartphones
•Usage metrics
13
* SFO car rental 37/day. SF hotel parking 54/day.
14. Internet Trends for 2015 – Mary Meeker
typically released end of May
• Focus on findable and shareable data, generated by
mobile devices and sensors
• 5 platforms, photo sharing quadrupled over last
year…set to rise by 600M per day from 1.2B to 1.6B
• Fitness tracking: 47B steps 2013 to 2.4T in 2014
• 800M swipes per day on Tinder
14
….As well as being uploadable and sharable, the data is findable.
That means it can be mined, and "has potential to yield patterns
that help solve basic [or] previously unsolvable problems, but create
new challenges related to individual rights".
15. What can sensors measure?
• Position
• Occupancy and Motion
• Velocity and Acceleration
• Force (tactile and threshold)
• Pressure (force per unit)
• Flow (volume and rate)
• Acoustic (digital or analog)
• Humidity (absolute/relative)
• Light
• Radiation
• Temperature
• Chemical
(type/concentration)
• Biosensors (enzymes, acids..)
20. Context is everything: scale and insight
20
Time-series data
• Temperature
• Pressure
• Flow
Process
• Well drilling
• Metering
• Site load
Asset details
• Name
• Model
• Manufacturer
Operational Context High Value Insights Require
Data Context
Which asset performs best?
Which conditions are optimal?
What are the indicators of failure?
What leads to unsafe conditions?
What causes quality issues?
24. 1%
12%
13%
15%
22%
23%
24%
25%
29%
31%
34%
46%
Do Not Know
Time To Market
Interorganizational Collaboration
Data And Physical Security
Employee Satisfaction
Innovativeness
Revenue Growth
Profitability
Strategic Decisionmaking
Intraorganizational Collaboration
Customer Service
Operational Efficiency
Business Benefits of IoT?
Source: Cisco, Business Intelligence
25. Nearly All Industries Will Benefit,
But Early Adopters Are In Logistics …
Source: BI Intelligence Estimates
$- $40 $80 $120 $160
Professional, Scientific, And Technical Services
Construction
Real Estate And Rental And Leasing
Mining
Utilities
Finance and Insurance
Retail Trade
Health Care And Social Assistance
Wholesale Trade
Information
Transportation And Warehousing
Manufacturing
Billions
Top Industries With Investments In IoT Solutions
2014E 2015E 2016E 2017E 2018E 2019E
Source: Cisco, Business Intelligence
26. …and Manufacturing
Source: SAS 2013
4%
6%
8%
13%
15%
17%
17%
17%
18%
Consumer Packaged Goods
Consumer Durables
Metals and Mining
Medical Device/Pharma/BioMed
Aerospace & Defense
Telecom/High Tech
Consumer and/or Industrial Electronics
Automotive
Industrial Machinery
Which Industries Are Early IoT Adopters?
Source: Cisco, Business Intelligence, SAS 2013
27. ~1/4 Of Executives Want The IoT To Help Them
Manage Plants, Property, & Equipment
Source: Harvard Business Review 2014
19%
21%
22%
23%
36%
Fleet Management
Condition-based Monitoring
Energy Data Management
Security
Remote Asset Management
And/Or Asset Tracking
Areas For IoT Business Deployment In Next 18 Months
Survey Of Executives
Source: Harvard Business Review 2014
28. Manufacturers See The IoT As A Way To
Keep Factories Running Smoothly
Source: SAS 2013
6%
19%
27%
30%
49%
62%
Support Sales
Gain Insight Into New Opportunities
Deliver System Upgrades
Better Understand Product Use
Maintain and Repair Products
Monitor Product Performances
How Are Manufacturers Using IoT Sensor Data?
Global Companies
Source: Business Intelligence, SAS 2013
29. Thoughts on the IoT
• Cloud Enables Big Data
….which is generated from multiple sources,
humans, computers, sensors, beacons, IoT
• Big Data enables Analytics
….if it is secure and the data can be trusted.
• Analytics transform business and provides competitive
advantage
…enabling speed to the right decisions, via human or
machine
29
32. 400+
Pulp &
Paper
sites deployed
worldwide
91%
100%
of the Global
Fortune Top 10
Metals &
Mining
companies
37 of 50
of the World’s
Largest
Chemical &
Petro-
Chemicals
9 / 10
of the Global
Fortune Top 10
Pharma
companies
Over
1,000
of the world’s
leading
Power &
Utilities
companies
95%
of the Global
Fortune Top 40
Oil & Gas
companies
For 35 years, the world’s leading companies have
trusted OSIsoft and the PI System
Stephen Bates seb@osisoft.com +1 202-730-9760
Slides posted > http://www.linkedin.com/in/batess
Editor's Notes
Complexity without data
Cldnt read data
Human barriers
Tool barriers
Technology barriers
Physical barriers
A Critical capability of an Infrastructure is adding context. With context data is truned into information that can be more readily shared and utilized for decisions.
By adding context you increase the business value of the decisions that can be made
You can compare assets for asset intelligence
You can compare assets and processes for process intelligence
You can compare processes operation intelligence across the organization
With context multiple streams of similar data can be combined together for analysis. Data that might show how one asset compares to another, or how one process is better than another.
If context is not there it will be difficult to interpret the data and most importantly organizations run the risk of combining data that is out of context and drawing the wrong conclusions.
For instance unknowingly comparing a sensor based data stream from:
An asset in a different process under different locations
An asset from another manufacture
To see the power of having the right visualization, let’s take a look at what we’ve got here. We have several readings here at 15 minute intervals for a couple data streams.
But here’s the question—
Can you see the problem? (pause here for 5 seconds)
How about now? (pause 1 second)
This is the same information, but now in a trend format. Now the problem is obvious and you can spot it right away, even if you’re sitting in the back of the room, and now that we are aware, we can do something about it and dive in for further analysis.
The key take away is that the right visualization makes information consumable.
This may mean that you want a quick dashboard in PI Coresight with an operational view that includes bar graphs and radial gauges.
Or you might prefer a process view with PI ProcessBook so that you can view your information in a way that matches your plant floor or maybe your operators’ SCADA screens. You can see the readings as they feed into each other and visualize the information in the context of interdependencies.
Or maybe a geospatial view that puts your data on a map. With this view, you can identify things like all assets in the northern area being out, or perhaps that you should send the maintenance crew out from a different shop given current traffic patterns.
Putting information in the right format is key to rapid, high quality decision making.