The document discusses the rise of big data and connected devices, focusing on connected cars. It notes that over the last 170 years connectivity has expanded from the telegraph to the internet and smartphones, generating exponentially more data. By 2020 there will be an estimated 50 billion connected devices, with cars emerging as a distinct computing infrastructure. Connected cars can unlock $1400 in benefits per car annually by generating and analyzing big data through vehicles. This brings opportunities to transform industries like transportation, as well as challenges around data management, privacy and disruption to existing business models.
Online content is growing at an amazing rate. This presentation provides some context on the growth by expressing in terms with which most people will be able to relate.
Relevance of Internet Governance, IGF, CoC, CFR, Elon Musk, Mark Zuckerberg, AI, Artificial Intelligence, Number Resource Organization, NRO, five horsemen, Internet of Things and Big Data, Cloud Computing, IP, IPv6, Ronal Reagan,
NGO Seminar on Big Data - Guardian 6/13/12TechSoup
Marnie Webb, Co-CEO and Paul van Haver, Director of Global Services of TechSoup Global Data Services highlighted the need for charities to help transform the way they engage with and service their community through the use of data.
Online content is growing at an amazing rate. This presentation provides some context on the growth by expressing in terms with which most people will be able to relate.
Relevance of Internet Governance, IGF, CoC, CFR, Elon Musk, Mark Zuckerberg, AI, Artificial Intelligence, Number Resource Organization, NRO, five horsemen, Internet of Things and Big Data, Cloud Computing, IP, IPv6, Ronal Reagan,
NGO Seminar on Big Data - Guardian 6/13/12TechSoup
Marnie Webb, Co-CEO and Paul van Haver, Director of Global Services of TechSoup Global Data Services highlighted the need for charities to help transform the way they engage with and service their community through the use of data.
This presentation was delivered at the IA Summit 2008 in Miami, FL.
The wide-spread adoption of web-based services has helped people organize information, connect with loved ones, and share data through an electronic medium. This convenience, however, has spawned a massive proliferation of single-purpose user profiles, closed data repositories, and endless login credentials. Not surprisingly, people are quickly becoming less tolerant of experiences that require large quantities of personal information upfront.Deciding what information to ask a customer when creating an account is a literal balance between user needs and business needs. Users want to protect their privacy and provide as little information as possible. The business, on the other hand, wants to learn who their customer is, and ask as many revealing questions as possible.
In this session, I will draw from my experience in redesigning the Yahoo! registration and account recovery systems. I will also show examples from other web sites, and suggest techniques to apply toward common IA and Interaction Design challenges faced in designing membership frameworks.
This session will discuss the following topics:
<ul><li>Making registration painless for your customers</li>
<li>Encouraging accurate and truthful data entry</li>
<li>Keeping the bad guys out but allowing for password recovery</li></ul>
Smart City Seminar delivered to DU post graduates, together with Sumanth ChannaBasappa and Traci Hiltonberry from Denver South Economic Development Partnership
NAID - Craig Rispin Keynote - 21 Sept 2016
Craig Rispin is a Business Futurist and Innovation Expert his expertise is in emerging business, people and technology trends – and how companies can profit from them.
Craig has over 20 years experience working where the future has been created – with some of the most innovative companies in the world in the IT, consumer electronics, internet and broadcasting industries.
He is an award-winning speaker and has addressed audiences as large as 16,000 people on 5 continents and has consulted with CEOs of leading companies worldwide.
Some of his clients include: BHP Billiton, Canon, Colonial First State, IBM, Kimberly-Clark, King & Wood Mallesons, NRMA, Sportscraft, Symantec, Toyota, Young Presidents’ Organization (YPO) and hundreds of professional industry associations.
An award-winning keynote speaker and CEO mentor, Craig shows his clients how to
Know First, Be First and Profit First.
TechSoup Global and Guardian seminar: Transforming your charity by bringing your data to life: Presentation by Marnie Webb, Co-CEO and Paul van Haver, Director of Global Data Services of TechSoup Global highlighted the need for charities to help transform the way they engage with and service their community through the use of data. Presentation: We are “Big Data” (and so can you!)
TechSoup Global and Guardian Seminar: Transforming your charity by bringing your data to life seminar. Presentation by Nathaniel Manning, Director of Business Development and Strategy at Ushahidi illustrated how they use crowdsourcing, big data and the opensource tools they have developed to help with disaster relief, political accountability and other development issues. Mobile phones were identified as one of the key ways that data is provided and collected in developing countries.
Building a Data-Driven City
Pittsburgh has incredible tech resources but Pittsburgh city government has not created the partnerships that could allow all residents to benefit from them. Let’s work together to make Pittsburgh a data-driven city!
Have we poisoned the internet for good?Yoav Aviram
Have we poisoned the Internet for good? It is time to take a long hard look at where we have ended up, and consider whether the Internet does more harm than good, in terms of our quality of life.
Video: https://www.youtube.com/watch?time_continue=763&v=q5x7njMMugw
O que vai acontecer nos próximos anos quando as máquinas tiverem mais capacidade de processamento que os humanos? Veja como a Singularity University acredita que será o caminho até lá
Motor vehicles are becoming ever more intelligent - catchword: "connected car." The goal of this development is not only more driving comfort, however, most importantly, it is an improvement in traffic safety and traffic control.
Insights into Action – recent examples leveraging big data in the automotive ...Capgemini
In 2014 many OEMs started to use the latest big data technologies to leverage customer and vehicle data, together with information available through other channels. Nick Gill, Chair of Capgemini’s global automotive council, will highlight some of the leading examples of work done in the industry, and the results achieved to date.
Presented at EMC World 2015 by Nick Gill.
Telematics and Big Data: Next Generation Automotive TechnologyHCL Technologies
This whitepaper explores the telematics ecosystem and the key players within it. It also delves into some challenges and road ahead for LTE technology and Big Data Analytics as two key enablers that will drive the success of telematics.
This presentation was delivered at the IA Summit 2008 in Miami, FL.
The wide-spread adoption of web-based services has helped people organize information, connect with loved ones, and share data through an electronic medium. This convenience, however, has spawned a massive proliferation of single-purpose user profiles, closed data repositories, and endless login credentials. Not surprisingly, people are quickly becoming less tolerant of experiences that require large quantities of personal information upfront.Deciding what information to ask a customer when creating an account is a literal balance between user needs and business needs. Users want to protect their privacy and provide as little information as possible. The business, on the other hand, wants to learn who their customer is, and ask as many revealing questions as possible.
In this session, I will draw from my experience in redesigning the Yahoo! registration and account recovery systems. I will also show examples from other web sites, and suggest techniques to apply toward common IA and Interaction Design challenges faced in designing membership frameworks.
This session will discuss the following topics:
<ul><li>Making registration painless for your customers</li>
<li>Encouraging accurate and truthful data entry</li>
<li>Keeping the bad guys out but allowing for password recovery</li></ul>
Smart City Seminar delivered to DU post graduates, together with Sumanth ChannaBasappa and Traci Hiltonberry from Denver South Economic Development Partnership
NAID - Craig Rispin Keynote - 21 Sept 2016
Craig Rispin is a Business Futurist and Innovation Expert his expertise is in emerging business, people and technology trends – and how companies can profit from them.
Craig has over 20 years experience working where the future has been created – with some of the most innovative companies in the world in the IT, consumer electronics, internet and broadcasting industries.
He is an award-winning speaker and has addressed audiences as large as 16,000 people on 5 continents and has consulted with CEOs of leading companies worldwide.
Some of his clients include: BHP Billiton, Canon, Colonial First State, IBM, Kimberly-Clark, King & Wood Mallesons, NRMA, Sportscraft, Symantec, Toyota, Young Presidents’ Organization (YPO) and hundreds of professional industry associations.
An award-winning keynote speaker and CEO mentor, Craig shows his clients how to
Know First, Be First and Profit First.
TechSoup Global and Guardian seminar: Transforming your charity by bringing your data to life: Presentation by Marnie Webb, Co-CEO and Paul van Haver, Director of Global Data Services of TechSoup Global highlighted the need for charities to help transform the way they engage with and service their community through the use of data. Presentation: We are “Big Data” (and so can you!)
TechSoup Global and Guardian Seminar: Transforming your charity by bringing your data to life seminar. Presentation by Nathaniel Manning, Director of Business Development and Strategy at Ushahidi illustrated how they use crowdsourcing, big data and the opensource tools they have developed to help with disaster relief, political accountability and other development issues. Mobile phones were identified as one of the key ways that data is provided and collected in developing countries.
Building a Data-Driven City
Pittsburgh has incredible tech resources but Pittsburgh city government has not created the partnerships that could allow all residents to benefit from them. Let’s work together to make Pittsburgh a data-driven city!
Have we poisoned the internet for good?Yoav Aviram
Have we poisoned the Internet for good? It is time to take a long hard look at where we have ended up, and consider whether the Internet does more harm than good, in terms of our quality of life.
Video: https://www.youtube.com/watch?time_continue=763&v=q5x7njMMugw
O que vai acontecer nos próximos anos quando as máquinas tiverem mais capacidade de processamento que os humanos? Veja como a Singularity University acredita que será o caminho até lá
Motor vehicles are becoming ever more intelligent - catchword: "connected car." The goal of this development is not only more driving comfort, however, most importantly, it is an improvement in traffic safety and traffic control.
Insights into Action – recent examples leveraging big data in the automotive ...Capgemini
In 2014 many OEMs started to use the latest big data technologies to leverage customer and vehicle data, together with information available through other channels. Nick Gill, Chair of Capgemini’s global automotive council, will highlight some of the leading examples of work done in the industry, and the results achieved to date.
Presented at EMC World 2015 by Nick Gill.
Telematics and Big Data: Next Generation Automotive TechnologyHCL Technologies
This whitepaper explores the telematics ecosystem and the key players within it. It also delves into some challenges and road ahead for LTE technology and Big Data Analytics as two key enablers that will drive the success of telematics.
Rapid strides in Technology are making mobility seamless. Consumers are connected to the external world through a plethora of personal smart devices.
Automotive sector too is witnessing an unprecedented absorption of these technologies en masse to provide a connected car experience. There is an immediate need for the right mix of technologies/processes and the right delivery mechanisms for providing the Car occupants safer & ultimate driving Experience while generating value for the stake holders.
This presentation will cover some of the key technology trends and challenges involved in realizing the connected car functions
In this talk, we discuss white box cryptography, a technique used to protect cryptographic keys from a local attacker. In keeping with the theme of building and breaking security, we will discuss the challenges involved in building a white-box crypto system.
Cloud computing is being adopted rapidly today, fueled by the explosion in mobile devices. The car is the third-fastest-growing mobile 'device'. Mandated use of the Cloud by the American government is pushing even faster growth. The shift to electric vehicles adds even more urgency. Here is a view of how the car is becoming a moving information transceiver for the Cloud...a mobile sensor that feeds the Cloud. See also some work on a First Responder Test-Bed in Canada
Big Data: Real-life examples of Business Value Generation with ClouderaCapgemini
Capgemini has helped multiple organizations to put Big Data to work and create value for their business and their clients.
This prsentation looks at real-world cases of how organizations are using, or planning to use, big data technology. It will look at the different ways in which the technology is being used in a business context.
Examples are drawn from Retail, Telco, Financial Services, Public Sector and Consumer goods.
It will look at a range of business scenarios from simple cost reduction through to new business models looking at how the business case has been built and what value has been realized.
It will also look at some of the practical challenges and approaches taken and specifically the application of Enterprise Data Hubs in collaboration with its prime partner Cloudera.
Written by Richard Brown, Global Programme Leader, Big Data & Analytics, Capgemini
connected car is mobile, social, big data, cloudJoe Speed
from my 5 star rated session at the IOD `13 Big Data convention. Aso demo'd QNX's show car with MQTT, MessageSight, Worklight, Big Data Streams, Predictive Maintenance PMQ, Node-RED on Softlayer cloud.
Recent webinar where I discuss most of these topics
http://www.youtube.com/watch?v=e8iu-bs3T9Q?t=24m25s
blog http://mobilebit.wordpress.com twitter at @mobilebit https://twitter.com/MobileBit
Roger Lanctot, Strategy Analytics, Managing the Accelerating Amount of Softwa...Red Bend Software
Automotive manufacturers need an efficient and comprehensive solution to remotely manage the accelerating amount of software inside of today’s connected cars. This presentation, given by Roger Lanctot of Strategy Analytics, describes the current OEM embedded telematics market conditions and the future of the connected car.
Use cases for Hadoop and Big Data Analytics - InfoSphere BigInsightsGord Sissons
This presentation is from TDWI's event in Boston during the summer of 2014. IBM InfoSphere BigInsights is IBM's enterprise grade Hadoop offering. It combines the best of open-source Hadoop, with advanced capabilities including Big SQL that clients can optionally deploy to get to market faster with a variety of big data and analytic applications.
Predictive Analytics Project in Automotive IndustryMatouš Havlena
Original article: http://www.havlena.net/en/business-analytics-intelligence/predictive-analytics-project-in-automotive-industry/
I had a chance to work on a predictive analytics project for a US car manufacturer. The goal of the project was to evaluate the feasibility to use Big Data analysis solutions for manufacturing to solve different operational needs. The objective was to determine a business case and identify a technical solution (vendor). Our task was to analyze production history data and predict car inspection failures from the production line. We obtained historical data on defects on the car, how the car moved along the assembly line and car specific information like engine type, model, color, transmission type, and so on. The data covered the whole manufacturing history for one year. We used IBM BigInsights and SPSS Modeler to make the predictions.
In the new world of connected healthcare, medical device manufacturers are challenged with cybersecurity issues to comply with the new FDA regulations. We examine the 5 domain areas of cybersecurity which apply to IoT HealthCare Vendors/ Providers.
Data Overload: How much data are we creating?Planetech USA
We are in the midst of the Information Age. With more people connecting to the internet than ever before, we are collectively creating and uploading more content online. Are you feeling the information overload?
[Webinar] The Internet of Things and the Coming Data DelugeInsightInnovation
"The Internet of Things" was one of the hottest topics in 2014, and is set to grow even faster this year, as we move to a world where the internet isn't just about connecting computers, but is now connecting all of the everyday devices that we use.
In 1995, NetApp was a two-year-old company making its debut on the NASDAQ stock exchange. Over the course of the past 20 years, the world of data has experienced a few changes.
Leading organizations worldwide count on NetApp for software, systems and services to manage and store their data. Customers value our teamwork, expertise and passion for helping them succeed now and into the future. To learn more visit www.netapp.com.
This is a presentation on topic Internet Of Things, popularly known as IOT which includes its history, its growing popularity with the world and also the technologies that use IOT Technology.
This is a White Paper by Dave Evans, Cisco's Chief Futurist on the IoT, what it is and why it is important. I particularly the like the simple definition of IoT.
"The Internet of Things (IoT) - a definition - is simply the time when there are more objects connected to the Internet than people. this happened sometime in 2008/9."
Broad view of the new decade and the new paradigm of Innovation and Knowledge Management. Argues that KM happens at three levels, individual, organizational, societal and we need to focus on all the three levels
Levelwise PageRank with Loop-Based Dead End Handling Strategy : SHORT REPORT ...Subhajit Sahu
Abstract — Levelwise PageRank is an alternative method of PageRank computation which decomposes the input graph into a directed acyclic block-graph of strongly connected components, and processes them in topological order, one level at a time. This enables calculation for ranks in a distributed fashion without per-iteration communication, unlike the standard method where all vertices are processed in each iteration. It however comes with a precondition of the absence of dead ends in the input graph. Here, the native non-distributed performance of Levelwise PageRank was compared against Monolithic PageRank on a CPU as well as a GPU. To ensure a fair comparison, Monolithic PageRank was also performed on a graph where vertices were split by components. Results indicate that Levelwise PageRank is about as fast as Monolithic PageRank on the CPU, but quite a bit slower on the GPU. Slowdown on the GPU is likely caused by a large submission of small workloads, and expected to be non-issue when the computation is performed on massive graphs.
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).
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/
4. History of Connections
170 years ago :
Invention of Telegraph
100 years ago :
Invention of Radio
70 years ago : First
General purpose
Electronic Computer
40 years ago : First
Internet Connection
20 Years ago : World
Wide Web
5. 201320102007
56 Exabytes
per month
12.8 Billion DVDs
crossing the network
21 Exabytes
per month
4.8 Billion DVDs
crossing the network
5 Exabytes
per month
1.4 Billion DVDs
crossing the network
Source:
Cisco
Visual
Networking
Index
Explosion in the amount Information
6. Growth of Connected Devices
Total 500 Million
2007
1/10th of a Device per
Person on Earth
Total 35 Billion
2010
5 Devices per
Person on Earth
Total 50 Billion
2013
7 Devices per
Person on Earth
Total 500 Billion~
2020
70~ Devices per
Person on Earth
Source: Forrester Research, Cisco IBSG
7. Connected World
Cisco says it will generate $14.4 trillion
in profits by 2022. GE says it will add
$10 trillion to $15 trillion in GDP by
2030.
Federal government only brought in
$2.45 trillion in tax revenue in 2012.
24. Traditional
Database
RDBMS
Storage
SAN and NAS
“Big Data”
Store and Analyze
“Big Data”
Real-Time
Capture, Read and
Update Operations
NoSQL
Application
Virtualized,
Bare Metal and Cloud Sensor
Data
Logs
Social
Media
Click
Streams
Mobility
TrendsEvent
Data
Big Data
25. “Every day I wake up and ask, how can I flow data better,
manage data better, analyze data better?”
Rollin Ford
(CIO, Walmart)
26. “Every two days we create as much information as we did
from the dawn of civilization up until 2003.”
Eric Schmidt
(Chairman of Google)
27. The haploid human genome occupies a total of just over 3 billion
DNA base pairs that means 6 billion base pairs per diploid cell.
So, given that each diploid cell contains 1.5 GB of data (this is very
approximate, as I am only accounting for the diploid cells and
ignoring the haploid sperm and egg cells in our body),
The approximate amount of data stored in the
human body is:
1.5 Gbytes x 100 trillion cells = 150 trillion Gbytes or 150×10^12 x 10^9
bytes = 150 Zettabytes (10^21)!!!
Source : http://bitesizebio.com/articles/how-much-information-is-stored-in-the-human-genome/
161,061,273,600 TeraBytes