April16 recovered
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Big data refers to the exponential growth and availability of data from various sources. It is generated at a rapid pace from social media, online transactions, sensors and more. Big data is characterized by its volume, velocity and variety. While it provides opportunities for new insights and products, it also poses challenges around information overload and privacy. Extracting useful insights requires advanced analytical tools to process vast amounts of structured and unstructured data at high speeds.
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Big Data - Fact or Fiction ?
This document discusses facts and fictions about big data in three sections. It begins by stating that individuals create large amounts of metadata through smartphone use that is collected and analyzed by companies. However, it notes that big data is often mined poorly to create ineffective algorithms. It then states that big data is automating tasks that previously required manual labor. The document goes on to discuss that while security companies want to analyze big data, they currently lack the capabilities to properly handle its volume and velocity. It also says security developers are not easily extracting value from collected data due to insufficient analysis tools. Finally, it asserts that current analytics technology is not ready-made for security needs because data is often poorly indexed.
Data Overload: How much data are we creating?
By 2020:
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- However, we currently only analyze around 0.5% of the data we create each year, leaving most of it unused.
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3 billion people have mobile phones but no internet access. TxtWeb allows these users to access information via SMS by sending keywords to a shortcode. It has over 3,000 apps providing health information, finances, news, weather, jobs and more. TxtWeb works by sending an SMS to a number, which then makes an HTTP request to the corresponding app and returns the response via SMS. This platform gives developers a way to build apps and services for users with only basic phones.
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Artificial intelligence (AI), machine learning, and big data have been discussed so much in the past few years, they've almost become like buzzwords.
Yet, the concepts present many opportunities and challenges and it is imperative marketers and communicators educate themselves on the subject, what AI is and does, and how to adapt.
The content in this presentation is based on original research Martin conducted, as part of the McMaster/Syracuse Master in Communications Management program.
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Please see slide notes for additional details.
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This document discusses big data, providing definitions and outlining its key characteristics of volume, velocity, and variety. It describes processes involved like integrating disparate data stores and employing Hadoop MapReduce. Sources of big data are identified as mobile devices, sensors, social media, etc. Tools used include distributed servers, storage, and databases. Statistics on data generated by companies like Facebook and Twitter are provided. Applications of big data include improving science, healthcare, finance, and security. Advantages include access to vast information, while disadvantages include costs and privacy issues.
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Big Data - Fact or Fiction ?
This document discusses facts and fictions about big data in three sections. It begins by stating that individuals create large amounts of metadata through smartphone use that is collected and analyzed by companies. However, it notes that big data is often mined poorly to create ineffective algorithms. It then states that big data is automating tasks that previously required manual labor. The document goes on to discuss that while security companies want to analyze big data, they currently lack the capabilities to properly handle its volume and velocity. It also says security developers are not easily extracting value from collected data due to insufficient analysis tools. Finally, it asserts that current analytics technology is not ready-made for security needs because data is often poorly indexed.
Data Overload: How much data are we creating?
By 2020:
- The amount of digital data created annually will be around 44 zettabytes, as more devices are connected to the internet and more content is uploaded.
- However, we currently only analyze around 0.5% of the data we create each year, leaving most of it unused.
- This gap between data creation and analysis raises questions about how to better extract meaningful information and insights from the vast troves of raw data being generated every day.
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Big data refers to large datasets that cannot be processed using traditional computing techniques due to their size and complexity. It comes from a variety of sources like social media, online transactions, digital images, videos, sensors, and more. The volume of data is doubling every two years. Big data has three key aspects: volume, referring to the large amount of data; variety, as data comes in many formats; and velocity, as data streams in at high speed. Technologies like Hadoop and MapReduce can capture, store, search, share, and analyze big data across distributed systems in a cost-effective way to provide insights.
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3 billion people have mobile phones but no internet access. TxtWeb allows these users to access information via SMS by sending keywords to a shortcode. It has over 3,000 apps providing health information, finances, news, weather, jobs and more. TxtWeb works by sending an SMS to a number, which then makes an HTTP request to the corresponding app and returns the response via SMS. This platform gives developers a way to build apps and services for users with only basic phones.
Putting the AI in PR
Artificial intelligence (AI), machine learning, and big data have been discussed so much in the past few years, they've almost become like buzzwords.
Yet, the concepts present many opportunities and challenges and it is imperative marketers and communicators educate themselves on the subject, what AI is and does, and how to adapt.
The content in this presentation is based on original research Martin conducted, as part of the McMaster/Syracuse Master in Communications Management program.
Focusing on single-purpose, artificial narrow intelligence, we discuss several key issues including: algorithm bias, ethics and transparency, human/AI agent relationships and the future of jobs.
Please see slide notes for additional details.
From AI to Z: How AI is changing the relationship between people and data
On the occasion of SMAU Milano 2018, Gabriel Cismondi, COO at iGenius, talks about Artificial Intelligence and how it's changing the relationship between people and data.
Big data ppt
This document discusses big data, providing definitions and outlining its key characteristics of volume, velocity, and variety. It describes processes involved like integrating disparate data stores and employing Hadoop MapReduce. Sources of big data are identified as mobile devices, sensors, social media, etc. Tools used include distributed servers, storage, and databases. Statistics on data generated by companies like Facebook and Twitter are provided. Applications of big data include improving science, healthcare, finance, and security. Advantages include access to vast information, while disadvantages include costs and privacy issues.
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*** 24X7 technical support team .
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The document discusses how data storage needs have grown exponentially over time. In the 1980s, a 10MB hard disk cost $3,398 while in 2000 storage costs dropped to $20 per gigabyte. By 2014, 1TB of storage cost $80 or less. This growth in data is due to factors like the rise of digital media and billions of pieces of user-generated content added daily to social networks. To manage this "big data," cloud computing has become important for cost-effective storage and analysis of the growing unstructured data in the digital universe. The future will see even more data growth and value from big data analytics.
Big data
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Big Data - Marketing Gone Mad?
Learn why more data is collected about you than ever. How Google, Facebook, Twitter, Apple are part of the problem not the solution. Why trying to strengthen privacy laws may be too late. Get more insights from http://www.technoledge.com.au/b2b-blog
big data
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Big data is a term for datasets that are so large or complex that traditional data processing applications are inadequate. Challenges include analysis, capture, data curation, search, sharing, storage, transfer, visualization, querying, updating and information privacy.
Lets ideate and discuss more:
www.extentia.com/contact-us
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4 Things You Didn't Know About Big Data
What is big data? Where did it come from? Where is it going? Let’s take a peek in the above slideshare
Big data introduction by quontra solutions
Quontra solutions is your premier online IT educational destination in UK. It provides online IT courses like Selenium , Hadoop ,CCNA ,Cloud Computing ,Business Analyst and Many other IT courses. All the courses are designed by experienced instructors and designers. Hadoop is a free, Java-based programming framework that supports the processing of large data sets in a distributed computing environment there is an urgent need for IT professional to keep themselves in trend with Hadoop and Big Data technologies
.
Quontra Specialties :
***All the courses are designed by Experienced Instructors and Designers.
***. Trainers are not limited to the syllabus, they explain off –the-shelf content also.
*** 24X7 technical support team .
***Unlimited access to all recorded sessions ,available after every live class.
***Syllabus built based on professional standards and employer insights.
***Trainers are Certified Experts in their corresponding field and they bring years of industry experience in to the training classes
Basics of Big Data
Big data refers to extremely large and complex datasets that are difficult to process using traditional database management tools. It is characterized by its volume, variety, velocity, and veracity. Big data is made up of both structured and unstructured data, with 90% being unstructured data from sources like social media posts, emails, and website clicks. Its volume is growing enormously, with 2.5 quintillion bytes of new data created every day.
Big Data-Job 2
Big data refers to the massive amounts of structured and unstructured data being created every day from sources like social media interactions, website clicks, and sensor data from devices. The volume, velocity, and variety of big data, known as the three V's, make it challenging to store, manage, and analyze. Additional challenges include the veracity and variability of big data. Big data is being used across many domains to gain insights, optimize business processes, improve sports performance and training, and support national security and law enforcement efforts through data analysis and mining. While big data holds great potential, many businesses have yet to fully leverage its capabilities.
The big story (BIG DATA)
The document discusses how data storage needs have grown exponentially over time. In the 1980s, a 10MB hard disk cost $3,398 while in 2000 storage costs dropped to $20 per gigabyte. By 2014, 1TB of storage cost $80 or less. This growth in data is due to factors like the rise of digital media and billions of pieces of user-generated content added daily to social networks. To manage this "big data," cloud computing has become important for cost-effective storage and analysis of the growing unstructured data in the digital universe. The future will see even more data growth and value from big data analytics.
Big data
Big Data refers to the vast amounts of data being generated every day from sources like computers, mobile devices, and sensors. It is estimated that 90% of all data ever created was generated in just the past two years. Big Data has three key characteristics: volume, referring to the large amount of data; velocity, meaning how quickly the data is being created and processed; and variety, referring to the different types and formats of data. While Big Data provides opportunities for insights and applications across many domains, it also poses challenges related to privacy, security, and the skills needed to analyze such large and complex datasets.
Big Data - Marketing Gone Mad?
Learn why more data is collected about you than ever. How Google, Facebook, Twitter, Apple are part of the problem not the solution. Why trying to strengthen privacy laws may be too late. Get more insights from http://www.technoledge.com.au/b2b-blog
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This document provides an overview of big data. It defines big data as large volumes of data that are high in velocity and variety, requiring new techniques and tools to analyze. Examples are given of the huge amounts of data generated daily by companies like Facebook, Twitter, and YouTube. The benefits of big data analytics are described as enabling better business decisions through hidden patterns, customer insights, and competitive advantages. The future of big data is promising, with the market expected to grow substantially in both revenue and jobs required to manage large amounts of data.
Social Data Day DataSift Slides
This document introduces social data day London and discusses the growth of social media. It notes that 1.7 billion people are on social networks, representing 67% of internet users. Social media engagement occupies 13 minutes of every UK internet hour. The document discusses how social media has fueled a data and analytics revolution by creating vast amounts of user data and interactions outside of traditional business silos. It frames social media data as big, fast, complex and unstructured. Examples are given of companies using social listening and analytics to improve marketing, product development and customer loyalty. The challenges of analyzing social media data due to its scale, noise and lack of structure are also mentioned.
7 Big Facts About Data-Driven Innovation
This document lists 7 facts about big data: 1) The amount of data generated in two days now exceeds all data up until 2003. 2) The big data analytics industry is currently worth $3 billion but is expected to grow to $20 billion in 5 years. 3) Harnessing big data could reduce healthcare costs by 8%. It then encourages following their social media accounts to learn more about big data.
BIG DATA -- The Next Big Thing!
Big data is a term for datasets that are so large or complex that traditional data processing applications are inadequate. Challenges include analysis, capture, data curation, search, sharing, storage, transfer, visualization, querying, updating and information privacy.
Lets ideate and discuss more:
www.extentia.com/contact-us
Trends and challenges for Digital Health Technology reaching people
ABSTRACT: The real impact of healthcare goes much beyond technology. Current tech stacks allow us to solve most of the challenges faced by innovators, but still, Digital Health is not a common practice in everyday lives. In this talk, we will go deep on how health data is being used to bring value to healthcare and the challenges this faces. We will also explore some of the main challenges of Health Data today in Europe, and discuss how technology can come to the rescue, from blockchain storage to distributed computing.
BIO: Miguel Amador is the current President of the EIT Health Alumni, which aims to be the largest community of health innovators around Europe. He is also a Ph.D. candidate in Bioengineering Systems at Instituto Superior Técnico (IST) in Lisbon, under the MIT Portugal Program, focusing on Public Policies to foster Health Innovation using real-world data. In 2014, he was awarded a Fulbright Fellowship to the MIT Center for Biomedical Innovation, in Boston, USA. He is also the founder of Pi Ventures, a Company Builder supporting innovation in Digital Health, from which he is building several ventures ranging from AI for diagnostics, to regulatory technology for Digital Health, and a new class of ink for printed biosensors and electronics. Previously, Miguel was the Head of Operations of UTRUST, a cryptopayments startup, which he joined after his role as Manager of the HealthTech and NanoTech Programs at Startup Braga, incubator and accelerator of new tech-based businesses in Braga, Portugal.
The Internet of Things & Connected Infrastructure
Every market has infrastructure -- physical assets needed for the operation of an enterprise. And every piece of infrastructure will be impacted by the Internet of Things -- physical "dumb" objects, embedded with sensors, connected to the internet, communicating with one another and people. Understanding this collision of the Internet and Infrastructure is important for the future of both. This is a slideshow of articles I've curated on the topic.
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Trends and challenges for Digital Health Technology reaching people
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LA WEB
La Web 1.0 era estática con documentos que no se actualizaban y contenidos dirigidos a la navegación. La Web 2.0 es más interactiva y centrada en el usuario, con aplicaciones como Google, Wikipedia y YouTube. La Web 3.0 se refiere a la evolución hacia el uso de inteligencia artificial y la web semántica para mejorar la interacción entre personas y máquinas en Internet.
Energy Consulting SDVOSB NAICS Experience
The following are descriptions of Link experience, categorized according to the North American Industry Classification System (NAICS): 221111 Electric power 221111 Electric power 221111 Electric power 221111 Electric power 221111 Electric power 221111 Electric power 221111 Electric power 221111 Electric power 221111 Electric power 221111 Electric power 221111 Electric power 221111 Electric power 221111 Electric power 221111 Electric power 221111 Electric power 221111 Electric power 221111 Electric power 221111 Electric power generation, hydroelectricgeneration, hydroelectric generation, hydroelectric generation, hydroelectricgeneration, hydroelectricgeneration, hydroelectricgeneration, hydroelectric generation, hydroelectricgeneration, hydroelectric generation, hydroelectricgeneration, hydroelectricgeneration, hydroelectric generation, hydroelectric generation, hydroelectricgeneration, hydroelectric Most recently, Link completed a major assessment of the hydro-electric generation assets of NorthEast Utilities. This included an examination of staffing, best practices, equipment condition, morale, management structure, and safety compliance - - and all as they relate to NU's competitiveness compared to neighboring electric utilities. Link additionally supported the Commissioner of the Public Utility Commission of Ohio in his evaluation of new-technology run-of-the-river hydro-electric Additionally, Link's alliance with Manitoba Hydro (one of the largest hydro-electric based utilities in North America) has offered considerable insight and available resources in the field of hydro-electric power generation.
Mortalidad
La primera causa de mortalidad infantil en España son los accidentes de tráfico, siendo los desplazamientos en coche la principal causa de muerte entre menores de 12 años. Los accidentes domésticos son la segunda causa, donde el ahogamiento es responsable del 38,23% de las muertes infantiles. Después de los accidentes, el cáncer es la segunda causa de mortalidad infantil en España.
Proposal mindstirs
Is your staff just performing? Do you want them to OUT PERFORM! if your answer is yes we are the ones who can make this happen.
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Media power
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This document discusses big data, defining it as large and complex data sets that cannot be processed with traditional methods. It outlines the three main characteristics of big data: volume, referring to the large quantity of data; velocity, the speed at which new data is generated and processed; and variety, the different types of structured and unstructured data. Examples are given of the vast amounts of data generated by companies like Walmart, Facebook, and Boeing. The advantages of big data are also mentioned, such as cost reductions and new products/services from insights in the data. Finally, some common software tools for big data are listed.
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This document provides an overview of social media and its implications for business. It discusses key statistics about major social media platforms like Facebook, YouTube, and Twitter. It explains how social media has led to a social internet revolution with user-generated content and the power of crowds. The document also discusses why businesses should engage with social media for visibility, market research, and building trust. It provides examples of companies using social media creatively and outlines some risks if social media engagement goes wrong, such as the spread of misinformation.
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This document discusses potential issues, risks, and challenges with social media. It asks the reader to provide an example issue in one of several categories, including ethical, legal, security, and personal. It then prompts discussion on the pros and cons of social media related to security/privacy, communication tools, and how social media intersects with domains like business, government, education and more.
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This document discusses jobs and career opportunities in social media. It provides links to videos about emerging jobs in social media and how to get a job in social media. It also prompts discussion about creating a social media branch for a company, including the size, positions, daily tasks to increase profitability, and responsibilities of the social media team given their power.
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The document discusses how businesses can use social media to meet marketing objectives. It notes that social media is valuable for creating awareness, consideration/interest, conversions/sales, loyalty, advocacy, and repeat customers. The value lies in branding, engagement with prospective and current customers. Businesses should use social media for awareness building through conversation, creativity, and engagement. Analytics tools can help businesses monitor engagement, reactions, customer preferences, and gain consumer insights to learn what customers know.
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This document provides an overview of a company called Incident Tech and how it uses social media. It was founded by graduates from top universities with experience at major tech companies. While product details are redacted, the document discusses how Incident Tech uses social media platforms like Foursquare, Twitter, Facebook, YouTube and Tumblr to build communities, spread ideas, document experiences, empower disruptive concepts, and provide capabilities typically only available to large organizations. Social media allows for "social mobility" by creating horizontal networks beyond one's offline connections.
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This document discusses the importance of social media for companies and celebrities. It outlines an in-class activity where students will simulate running different candy companies on social media. The main takeaways are that social media allows for personal relationships with consumers, companies are still experimenting with social media strategies, and consumers have power in determining what goes viral. The discussion will involve students strategizing how different celebrities could increase their social media presence.
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This document discusses how social media has transformed various aspects of society including communication, business, government, entertainment and more. It outlines how social media has shifted power dynamics, allowed anyone to reach a large audience with minimal effort, and changed how people interact in their personal lives and day-to-day activities like dating and maintaining friendships. Various industries like music, TV, and gaming have also been disrupted by these changes.
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April16 recovered
- 1. THE NUTS AND BOLTS BEHIND SOCIAL MEDIA
- 2. TWEET SOMETHING INTERESTING YOU LEARNED IN CLASS SO FAR Please tag @calsocialmedia
- 4. We are data-obese “In an era of information obesity, we need to eat better. There‟s a reason they call it a feed after all” -EddDumbill “Seek. Not too much. Mostly facts. Eat low on the sort of „information food chain‟, and stick close to sources.” -Clay Johnson www.theinformationdiet.com
- 5. 1 minute on the Internet: 61,141 hours of 204 million e-mails music streamed on are sent Pandora 20 million photos 100+ LinkedIn are viewed of accounts are Flickr added 20 people are victims 6 new Wikipedia of identity theft articles published 2 million+ search $83,000 in sales queries are initiated on google on Amazon.com Source: bigdatadiary.com
- 6. With the advent of social media 2 uses: 1. Analytical use 2. Enabling new products …came BIG
- 7. So what exactly is Big Data?
- 8. So what exactly is Big Data? contin Volume Velocity Variety Still don’t get it? Big Data is generated by the pace at which data is generated
- 9. “We are able to run complex, Boolean Searches across millions of articles in our content archive and get back precise returns in seconds or minutes Instead of days and weeks.” -Amy Sweigert Vice President of Information Managemen Associated Press
- 10. But how did we get here? (and at machine speed)
- 11. Scientific Social & economic data changes BIG DATA
- 12. …and why should I even care? It will continue to grow exponential
- 13. To put things into perspective… RFID Tags: In 2005 there were 1.3 billion tags… And by 2011 there were 30 billion tags Source: IBM
- 14. BIGis Big Data? Just how
- 15. And it’s continuing to grow exponentially
- 16. The aggregation of data
- 17. Extracting data from BIG DATA