Canary in the Coalmine: How Social Media Can Prepare Us for Big Data

•Transferir como PPTX, PDF•

20 gostaram•16,702 visualizações

n this talk, Il discuss how organizations are addressing the challenges of social data--technological, organizational and cultural--and what it can teach us on the road to big data.

Tecnologia

1

Canary in the Coal Mine: How Social
Data Can Prepare Us for Big Data

February 26, 2013

Susan Etlinger, Industry Analyst
@setlinger

2

“I believe that, in the future, social
networks will be like air.”
Charlene Li, 2008

© 2013 Altimeter Group

3

1: Social data is a type of big data

Volume Velocity Variety
Millions of Thousands Structured
conversations of posts per and
second unstructured
data

Source (3Vs construct) : Gartner Group
© 2013 Altimeter Group

4

2. Social media spans the enterprise
"In which of the following departments are there dedicated people
(can be less than one FTE) executing social?"
Marketing 73.4%
Corporate Communications/PR 65.6%
Customer Support 39.8%
Digital 36.7%
Social Media 35.2%
HR 28.9%
Product development/R&D 16.4%
Advertising 16.4%
At least 13 different
Customer/User experience 14.8%
IT 14.1%
departments actively
Executive 10.9% involved in social media
Legal 9.4%
Market Research 7.8%
0.0% 10.0% 20.0% 30.0% 40.0% 50.0% 60.0% 70.0% 80.0%

© 2013 Altimeter Group

5

Average number of owned social accounts
(enterprise-class companies): 178

© 2013 Altimeter Group
2012

6

3: Business value depends on where you sit

© 2013 Altimeter Group

7

Six primary use cases for social data

© 2013 Altimeter Group

8

4: It disrupts interpretive conventions
1. Strains the definition of an
analyst.Consumerization of IT =
consumerization of data. Broader set of
stakeholders trying to interpret social data.
2. Strains the definition of expertise. Social
expertise, analytical expertise. Few combine both
domains.
3. Strains confidence levels. Nascent analytics
and 3-V data make for imperfect science.
4. This will only get worse as data becomes more
freely available in real/right time.

© 2013 Altimeter Group

9

Organizations experiment to find meaning…

© 2013 Altimeter Group

10

…with unexpected results

© 2013 Altimeter Group

11

5. It drives organizational change

© 2013 Altimeter Group

5 primary organizational structures for social

Centralized Distributed Coordinated Multiple Hub Holistic
and Spoke

© 2013 Altimeter Group

13

Most companies organize as Hub & Spoke,
but are moving toward Multiple Hub & Spoke

2010
2012 9.4% 29.1% 35.4% 23.6% 2.4%

© 2013 Altimeter Group

14

In summary, social data…

1. is a type of 2. spans the 3. has variable
big data organization business value

4. disrupts how 5. drives All this is or will
we understand organizational be true of big
our business change data

© 2013 Altimeter Group

15

“If big data will be like air, we’d
better start taking care of our air
quality now.”
Susan Etlinger, 2013

© 2013 Altimeter Group

16

Social data is the canary in the coal mine

Life for an actual
canary in a coal mine
could be described in
three words:
"short but meaningful.”

Source: Wisegeek.com

© 2013 Altimeter Group

17

Air quality control for big data
1. It’s not just about IT data and analysts
• Social data stakeholders are big data stakeholders.
Build relationships and plan cohesive analytical
approaches
• Enterprises are already starting to integrate social and
enterprise data; get ahead of the curve
• This requires mutual education
• Cultivate your business stakeholders now, including
executive champions!
• Hint: remember the 13 departments and start there)

© 2013 Altimeter Group

18

Air quality control for big data
2. It requires a holistic approach with tailored
execution
• Analysts across the organization must work cohesively
with shared approaches and tools
• This means different backgrounds, skill levels and
focuses
• Start incrementally and build over time

© 2013 Altimeter Group

19

Air quality control for big data
3. Use social media adoption as a starting point
for what to expect:
• Financial. Building business cases; what’s working?
• Organizational. Which silos are breaking? How is the
organization adapting?
• Cultural. What happens when big data is a given? How
does it affect decision making?
• Political. How are decisions being made? What are the
unintended consequences?

© 2013 Altimeter Group

20

A healthy environment = happy canaries

© 2013 Altimeter Group

21

Thank you

Susan Etlinger
Susan@altimetergroup.com
www.susanetlinger.com
Twitter: setlinger

© 2013 Altimeter Group

Mais conteúdo relacionado

Mais procurados

What Is Enterprise 2.0 Public

Tanya Ney

Defrag Keynote on CoIT - November 10th, 2011

Dion Hinchcliffe

Wanted an Active, Viable, Collaborative On-line Community

Louis-Pierre Guillaume

Future enterprises-social-birth

Jen Fiocca

Horizon scanning for charities and civil society

rhoddavies1

The Future of Enterprises - Social by Birth

Andy Kellam

Clouds of connection sept2011 acm aitp

Peter Coffee

Accenture - Bubble over Barcelona 2013 MWC - Mobility Trends

Lars Kamp

Set the style

Computacenter UK LTD

Five Key Focus Areas for New-Age Collaboration

Cognizant

Cyber security is center stage in the world today, thanks to almost continuous revelations about incidents and breaches. In this context of unpredictability and insecurity, organizations are redefining their approach to security, trying to find the balance between risk, innovation and cost. At the same time, the field of cyber security is undergoing many dramatic changes, demanding organizations embrace new practices and skill sets. Cyber security risk is now squarely a business risk – dropping the ball on security can threaten an organization’s future – yet many organizations continue to manage and understand cyber security in the context of the it department. This has to change.

Staying ahead in the cyber security game - Sogeti + IBM

Rick Bouter

Social Enterprise: Trust; Vision; Revolution

Peter Coffee

This white paper presents the reference model and taxonomy for the consumerization of IT, supported by business scenarios and strategies for supporting consumerization of IT initiatives. This white paper is one part of the “Microsoft Recommendations for a Consumerization of IT Strategy” series. This series introduces the phenomenon known as the consumerization of IT, including strategies for supporting the proliferation of devices in the workplace and supporting work tasks on personal devices at diverse locations.

How the Consumerization of IT Affects Your Business

Microsoft

Technology is changing the human experience, creating new connections between people, products and markets around the world. The computer is stepping out, off the desk, even out of our pockets, to become embedded in our world, around us, on us, and even in us. With this trend, user interaction will go above the glass, beyond the screen, and beyond pixels. In his talk, Brandon Edwards addressed the implications of these changes on consumer behavior, and the 5 futures of interaction design.

five futures

frog

Visions for the Journey Towards a Post-2020 Employee Experience | IOM Summit ...

Dion Hinchcliffe

Managing mobile devices proactively depends on more than the tools — such as mobile device management — that offer a “silver bullet” for the onslaught of mobile support requests. IT has two choices: 1) work to patch and fix by continually amending policies and myopic infrastructure or 2) establish a stance rooted in control over the devices in place today and those likely to be requested tomorrow and well into a multi-device, connected future. Solving this problem and establishing control is an issue not only of the proper technology but key relationships across the organization, informed and enforceable policy, and a multi-part technology stack to operationalize said policy. We call this the mobile control plane, a complex but critical layer of support that serves as the foundation for enterprise mobile rollouts that’s lacking in most companies today.

[Report] Building a Solid Platform for Enterprise Mobility: Introducing the M...

Altimeter, a Prophet Company

UU innovation masters november 2010

Tim Willoughby

A Digital Market of Support

Malcolm Ryder

Event Tech Live: Crunched by Event Wallet

Event Wallet

The New CIO Mandate | ASAE Tech Conference 2013 Keynote By Dion Hinchcliffe

Dion Hinchcliffe

Mais procurados (20)

What Is Enterprise 2.0 Public

Defrag Keynote on CoIT - November 10th, 2011

Wanted an Active, Viable, Collaborative On-line Community

Future enterprises-social-birth

Horizon scanning for charities and civil society

The Future of Enterprises - Social by Birth

Clouds of connection sept2011 acm aitp

Accenture - Bubble over Barcelona 2013 MWC - Mobility Trends

Set the style

Five Key Focus Areas for New-Age Collaboration

Staying ahead in the cyber security game - Sogeti + IBM

Social Enterprise: Trust; Vision; Revolution

How the Consumerization of IT Affects Your Business

five futures

Visions for the Journey Towards a Post-2020 Employee Experience | IOM Summit ...

[Report] Building a Solid Platform for Enterprise Mobility: Introducing the M...

UU innovation masters november 2010

A Digital Market of Support

Event Tech Live: Crunched by Event Wallet

The New CIO Mandate | ASAE Tech Conference 2013 Keynote By Dion Hinchcliffe

Semelhante a Canary in the Coalmine: How Social Media Can Prepare Us for Big Data

Altimetersocialanalytics081011final 110810105257-phpapp01

Stephen Darori

Altimeter social analytics

Rahul Mantri

Afinal o que é Big data?

Cezar Taurion

Unisys social computing services nov2012

Unisys Corporation

Big data Readiness white paper

Christopher Bradley

16 Enterprise Social Networking Predictions for 2013

tibbr

Whitepaper: Big Data 101 - Creating Real Value from the Data Lifecycle - Happ...

Happiest Minds Technologies

The big impact of Big Data in the post-modern world is unquestionable, un-ignorable and unstoppable today. While there are certain discussions around Big Data being really big, here to stay or just an over hyped fad; there are facts as shared in the following sections of this whitepaper that validate one thing - there is no knowing of the limits and dimensions that data in the digital world can assume.

Big Data 101 - Creating Real Value from the Data Lifecycle - Happiest Minds

happiestmindstech

An in-depth social media study conducted by FedEx and Ketchum of more than 60 well-known companies has found that significant changes are on the horizon for the way companies will use social media tools to communicate internally. The study also examines programming, team structure and budgeting trends, including how companies are increasingly working across functions to ensure collaboration on social media projects. Interviewees also discuss why some are eager to take a leadership role in social media while others are comfortable in a more general participatory mode.

Fed exsocialmediastudy findingsreport_final

Dr. William J. Ward

Social Media - Not just a drop in the ocean?

bicos

Shiny Object or Digital Intelligence Hub? Evolution of the Social Media Comma...

Susan Etlinger

In June 2010, Gatorade unveiled its “Mission Control Center,” and in December of that year Dell announced its “Social Media Command Center.” Since then, organizations such as Hendrick Motorsports, The Oregon Ducks, Symantec and others have discussed how they use their social media command centers to listen to hundreds of thousands—even millions—of posts, interact with fans and customers, solve service issues and surface trends, risks and opportunities. To learn more about the state of social media command centers, Altimeter Group spoke with three organizations — MasterCard, eBay, and Wells Fargo Bank — and found significant variations in objectives, priorities and technology for the command centers, but similarities in strategic focus and business planning. In this report, Altimeter analyst Susan Etlinger presents findings, case studies, and expert recommendations for evaluating, building or fine-tuning a Social Media Command Center. For more information about this report, please visit: bit.ly/evolution-of-smcc.

[Report] Shiny Object or Digital Intelligence Hub? Evolution of the Enterpris...

Altimeter, a Prophet Company

Big Data - Bridging Technology and Humans

Mark Laurance

Altimetersocialanalytics081011final 110810105257-phpapp01

onlinekash

Altimetersocialanalytics081011final 110810105257-phpapp01

YourInstantWebshop

This report is intended primarily for business people who are tasked with understanding, interpreting, and acting on social data—executives, strategic planners, social strategists, and marketers. It will outline the key challenges of social data, propose a value-based framework for social analytics, and recommend clear and pragmatic steps that companies engaged in social media must follow to ensure they are gaining insights, measuring effectively, interpreting accurately, and taking appropriate action—both today and in the longer term.

A Framework for Social Analytics

Susan Etlinger

Altimetersocialanalytics081011final 110810105257 Phpapp01

YourInstantWebshop

Big Data: Opportunities, Strategy and Challenges

Gregg Barrett

The top trends changing the landscape of Information Management

Velrada

India hardy presentation

Ark Group Australia Pty Ltd

Semelhante a Canary in the Coalmine: How Social Media Can Prepare Us for Big Data (20)

Altimetersocialanalytics081011final 110810105257-phpapp01

Altimeter social analytics

Afinal o que é Big data?

Unisys social computing services nov2012

Big data Readiness white paper

16 Enterprise Social Networking Predictions for 2013

Whitepaper: Big Data 101 - Creating Real Value from the Data Lifecycle - Happ...

Big Data 101 - Creating Real Value from the Data Lifecycle - Happiest Minds

Fed exsocialmediastudy findingsreport_final

Social Media - Not just a drop in the ocean?

Shiny Object or Digital Intelligence Hub? Evolution of the Social Media Comma...

[Report] Shiny Object or Digital Intelligence Hub? Evolution of the Enterpris...

Big Data - Bridging Technology and Humans

Altimetersocialanalytics081011final 110810105257-phpapp01

A Framework for Social Analytics

Altimetersocialanalytics081011final 110810105257 Phpapp01

Big Data: Opportunities, Strategy and Challenges

The top trends changing the landscape of Information Management

India hardy presentation

Mais de Susan Etlinger

What-Do-We-Do-with-All-This-Big-Data-Altimeter-Group

Susan Etlinger

TrustImperative_etlinger

Susan Etlinger

Social Data Intelligence: Integrating Social and Enterprise Data for Competit...

Susan Etlinger

Social Data Intelligence: Webinar with Susan Etlinger

Susan Etlinger

Shiny Object or Digital Intelligence Hub? Evolution of the Social Media Comma...

Susan Etlinger

Data everywhere-lessons-from-big-data-in-the-television-industry-altimeter-group

Susan Etlinger

Presented at Startupfest 2013 Nearly 100 years ago, the French Surrealists invented a game they called “Le Cadavre Exquis” (“Exquisite Corpse”), in which they would collectively create a story using words and images. Today, customers, partners, friends, competitors and others collectively write and share the stories of organizations with which they interact. In this session, industry analyst Susan Etlinger will share examples of how both startups and established brands use social data to create a most holistic picture of their customer’s needs, wants and aspirations, and how startup entrepreneurs can use this data to build their brands and develop mutually valuable and sustainable relationships.

Collaborative Storytelling: Presentation at Startupfest 2013

Susan Etlinger

Working with-industry-analysts

Susan Etlinger

Mais de Susan Etlinger (8)

What-Do-We-Do-with-All-This-Big-Data-Altimeter-Group

TrustImperative_etlinger

Social Data Intelligence: Integrating Social and Enterprise Data for Competit...

Social Data Intelligence: Webinar with Susan Etlinger

Shiny Object or Digital Intelligence Hub? Evolution of the Social Media Comma...

Data everywhere-lessons-from-big-data-in-the-television-industry-altimeter-group

Collaborative Storytelling: Presentation at Startupfest 2013

Working with-industry-analysts

Último

A Domino Admins Adventures (Engage 2024)

Gabriella Davis

Developing An App To Navigate The Roads of Brazil

V3cube

The presentation explores the development and application of artificial intelligence (AI) from its inception to its current status in the modern world. The term "artificial intelligence" was first coined by John McCarthy in 1956 to describe efforts to develop computer programs capable of performing tasks that typically require human intelligence. This concept was first introduced at a conference held at Dartmouth College, where programs demonstrated capabilities such as playing chess, proving theorems, and interpreting texts. In the early stages, Alan Turing contributed to the field by defining intelligence as the ability of a being to respond to certain questions intelligently, proposing what is now known as the Turing Test to evaluate the presence of intelligent behavior in machines. As the decades progressed, AI evolved significantly. The 1980s focused on machine learning, teaching computers to learn from data, leading to the development of models that could improve their performance based on their experiences. The 1990s and 2000s saw further advances in algorithms and computational power, which allowed for more sophisticated data analysis techniques, including data mining. By the 2010s, the proliferation of big data and the refinement of deep learning techniques enabled AI to become mainstream. Notable milestones included the success of Google's AlphaGo and advancements in autonomous vehicles by companies like Tesla and Waymo. A major theme of the presentation is the application of generative AI, which has been used for tasks such as natural language text generation, translation, and question answering. Generative AI uses large datasets to train models that can then produce new, coherent pieces of text or other media. The presentation also discusses the ethical implications and the need for regulation in AI, highlighting issues such as privacy, bias, and the potential for misuse. These concerns have prompted calls for comprehensive regulations to ensure the safe and equitable use of AI technologies. Artificial intelligence has also played a significant role in healthcare, particularly highlighted during the COVID-19 pandemic, where it was used in drug discovery, vaccine development, and analyzing the spread of the virus. The capabilities of AI in healthcare are vast, ranging from medical diagnostics to personalized medicine, demonstrating the technology's potential to revolutionize fields beyond just technical or consumer applications. In conclusion, AI continues to be a rapidly evolving field with significant implications for various aspects of society. The development from theoretical concepts to real-world applications illustrates both the potential benefits and the challenges that come with integrating advanced technologies into everyday life. The ongoing discussion about AI ethics and regulation underscores the importance of managing these technologies responsibly to maximize their their benefits while minimizing potential harms.

Artificial Intelligence: Facts and Myths

Joaquim Jorge

Strategies for Landing an Oracle DBA Job as a Fresher

Remote DBA Services

Handwritten Text Recognition for manuscripts and early printed texts

Maria Levchenko

AWS Community Day CPH - Three problems of Terraform

Andrey Devyatkin

With more memory available, system performance of three Dell devices increased, which can translate to a better user experience Conclusion When your system has plenty of RAM to meet your needs, you can efficiently access the applications and data you need to finish projects and to-do lists without sacrificing time and focus. Our test results show that with more memory available, three Dell PCs delivered better performance and took less time to complete the Procyon Office Productivity benchmark. These advantages translate to users being able to complete workflows more quickly and multitask more easily. Whether you need the mobility of the Latitude 5440, the creative capabilities of the Precision 3470, or the high performance of the OptiPlex Tower Plus 7010, configuring your system with more RAM can help keep processes running smoothly, enabling you to do more without compromising performance.

Boost PC performance: How more available memory can improve productivity

Principled Technologies

Scaling API-first – The story of a global engineering organization

Radu Cotescu

Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024

The Digital Insurer

Advantages of Hiring UIUX Design Service Providers for Your Business

Pixlogix Infotech

How to Troubleshoot Apps for the Modern Connected Worker

ThousandEyes

Abhishek Deb(1), Mr Abdul Kalam(2) M. Des (UX) , School of Design, DIT University , Dehradun. This paper explores the future potential of AI-enabled smartphone processors, aiming to investigate the advancements, capabilities, and implications of integrating artificial intelligence (AI) into smartphone technology. The research study goals consist of evaluating the development of AI in mobile phone processors, analyzing the existing state as well as abilities of AI-enabled cpus determining future patterns as well as chances together with reviewing obstacles as well as factors to consider for more growth.

Exploring the Future Potential of AI-Enabled Smartphone Processors

debabhi2

What are drone anti-jamming systems? The drone anti-jamming systems and anti-spoof technology protect against interference, jamming, and spoofing of the UAVs. To protect their security, countries are beginning to research drone anti-jamming systems, also known as drone strike weapons. The anti-jam and anti-spoof technology protects against interference, jamming and spoofing. A drone strike weapon is a drone attack weapon that can attack and destroy enemy drones. So what is so unique about this amazing system?

What Are The Drone Anti-jamming Systems Technology?

Antenna Manufacturer Coco

What is a good lead in your organisation? Which leads are priority? What happens to leads? When sales and marketing give different answers to these questions, or perhaps aren't sure of the answers at all, frustrations build and opportunities are left on the table. Join us for an illuminating session with Cian McLoughlin, HubSpot Principal Customer Success Manager, as we look at that crucial piece of the customer journey in which leads are transferred from marketing to sales.

04-2024-HHUG-Sales-and-Marketing-Alignment.pptx

HampshireHUG

GenCyber Cyber Security Day Presentation

Michael W. Hawkins

The value of a flexible API Management solution for Open Banking Steve Melan, Manager for IT Innovation and Architecture - State's and Saving's Bank of Luxembourg Apidays New York 2024: The API Economy in the AI Era (April 30 & May 1, 2024) ------ Check out our conferences at https://www.apidays.global/ Do you want to sponsor or talk at one of our conferences? https://apidays.typeform.com/to/ILJeAaV8 Learn more on APIscene, the global media made by the community for the community: https://www.apiscene.io Explore the API ecosystem with the API Landscape: https://apilandscape.apiscene.io/

Apidays New York 2024 - The value of a flexible API Management solution for O...

apidays

As privacy and data protection regulations evolve rapidly, organizations operating in multiple jurisdictions face mounting challenges to ensure compliance and safeguard customer data. With state-specific privacy laws coming up in multiple states this year, it is essential to understand what their unique data protection regulations will require clearly. How will data privacy evolve in the US in 2024? How to stay compliant? Our panellists will guide you through the intricacies of these states' specific data privacy laws, clarifying complex legal frameworks and compliance requirements. This webinar will review: - The essential aspects of each state's privacy landscape and the latest updates - Common compliance challenges faced by organizations operating in multiple states and best practices to achieve regulatory adherence - Valuable insights into potential changes to existing regulations and prepare your organization for the evolving landscape

TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments

TrustArc

MySQL Webinar, presented on the 25th of April, 2024. Summary: MySQL solutions enable the deployment of diverse Database Architectures tailored to specific needs, including High Availability, Disaster Recovery, and Read Scale-Out. With MySQL Shell's AdminAPI, administrators can seamlessly set up, manage, and monitor these solutions, ensuring efficiency and ease of use in their administration. MySQL Router, on the other hand, provides transparent routing from the application traffic to the backend servers in the architectures, requiring minimal configuration. Completely built in-house and supported by Oracle, these solutions have been adopted by enterprises of all sizes for their business-critical applications. In this presentation, we'll delve into various database architecture solutions to help you choose the right one based on your business requirements. Focusing on technical details and the latest features to maximize the potential of these solutions.

Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...

Miguel Araújo

How to Troubleshoot Apps for the Modern Connected Worker

ThousandEyes

ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke

Product Anonymous

Canary in the Coalmine: How Social Media Can Prepare Us for Big Data

1. 1 Canary in the Coal Mine: How Social Data Can Prepare Us for Big Data February 26, 2013 Susan Etlinger, Industry Analyst @setlinger

3. 3 1: Social data is a type of big data Volume Velocity Variety Millions of Thousands Structured conversations of posts per and second unstructured data Source (3Vs construct) : Gartner Group © 2013 Altimeter Group

4. 4 2. Social media spans the enterprise "In which of the following departments are there dedicated people (can be less than one FTE) executing social?" Marketing 73.4% Corporate Communications/PR 65.6% Customer Support 39.8% Digital 36.7% Social Media 35.2% HR 28.9% Product development/R&D 16.4% Advertising 16.4% At least 13 different Customer/User experience 14.8% IT 14.1% departments actively Executive 10.9% involved in social media Legal 9.4% Market Research 7.8% 0.0% 10.0% 20.0% 30.0% 40.0% 50.0% 60.0% 70.0% 80.0% © 2013 Altimeter Group

8. 8 4: It disrupts interpretive conventions 1. Strains the definition of an analyst.Consumerization of IT = consumerization of data. Broader set of stakeholders trying to interpret social data. 2. Strains the definition of expertise. Social expertise, analytical expertise. Few combine both domains. 3. Strains confidence levels. Nascent analytics and 3-V data make for imperfect science. 4. This will only get worse as data becomes more freely available in real/right time. © 2013 Altimeter Group

14. 14 In summary, social data… 1. is a type of 2. spans the 3. has variable big data organization business value 4. disrupts how 5. drives All this is or will we understand organizational be true of big our business change data © 2013 Altimeter Group

17. 17 Air quality control for big data 1. It’s not just about IT data and analysts • Social data stakeholders are big data stakeholders. Build relationships and plan cohesive analytical approaches • Enterprises are already starting to integrate social and enterprise data; get ahead of the curve • This requires mutual education • Cultivate your business stakeholders now, including executive champions! • Hint: remember the 13 departments and start there) © 2013 Altimeter Group

18. 18 Air quality control for big data 2. It requires a holistic approach with tailored execution • Analysts across the organization must work cohesively with shared approaches and tools • This means different backgrounds, skill levels and focuses • Start incrementally and build over time © 2013 Altimeter Group

19. 19 Air quality control for big data 3. Use social media adoption as a starting point for what to expect: • Financial. Building business cases; what’s working? • Organizational. Which silos are breaking? How is the organization adapting? • Cultural. What happens when big data is a given? How does it affect decision making? • Political. How are decisions being made? What are the unintended consequences? © 2013 Altimeter Group

Notas do Editor

Data proliferation
32-43 are critical
Early coal mines did not feature ventilation systems, so legend has it that miners would bring a caged canary into new coal seams. Canaries are especially sensitive to methane and carbon monoxide, which made them ideal for detecting any dangerous gas build-ups. As long as the bird kept singing, the miners knew their air supply was safe. A dead canary signaled an immediate evacuation

Canary in the Coalmine: How Social Media Can Prepare Us for Big Data

Recomendados

Recomendados

Mais conteúdo relacionado

Mais procurados

Mais procurados (20)

Semelhante a Canary in the Coalmine: How Social Media Can Prepare Us for Big Data

Semelhante a Canary in the Coalmine: How Social Media Can Prepare Us for Big Data (20)

Mais de Susan Etlinger

Mais de Susan Etlinger (8)

Último

Último (20)

Canary in the Coalmine: How Social Media Can Prepare Us for Big Data

Notas do Editor