This doc dives into the world of data, explaining our philosophy of it in the agency world, and how we leverage data for our clients in a smart way. From collection to storage to visualization to action, we will explore each of these areas and show inspiring examples of how organizations are using data in a smarter way to attract and retain their customers. Regardless of how much data you have and where it is coming from, there are ways to identify just the right insights and nuggets to make your data understandable, actionable and simply beautiful to look at.
Heavy, messy, misleading. Why Big Data is a human problem, not a technology one.Francesco D'Orazio
"Big data" has been around for a few years now but for every hundred people talking about it there’s probably only one actually doing it. As a result Big Data has become the preferred vehicle for inflated expectations and misguided strategy.
As always, language holds the key and the seed of the issue is reflected in the expression itself. "Big Data" is not so much about a quality of the data or the tools to mine it, it’s about a new approach to product, policy or business strategy design. And that’s way harder and trickier to implement than any new technology stack.
In this talk I look at where Big Data is going, what are the real opportunities, limitations and dangers and what can we do to stop talking about it and start doing it today.
The document discusses big data and predictive analytics. It defines big data as the vast amount of data being created every day from various sources, noting that 90% of data in the world was created in the last two years. Predictive analytics is described as using data from the past to predict future outcomes. The document provides examples of how organizations like Netflix, Google, and the Obama campaign have successfully used big data and predictive analytics to gain insights and make better decisions.
Driving Big Insight from Big Data - T3 Summit TED Talk - Kevin ForemanKevin Foreman
This document discusses how big data can provide insights into traffic congestion and transportation issues. It notes that big data refers to extremely large data sets that are difficult to analyze using traditional methods. Examples of big data related to transportation include GPS data from over 100 million vehicles and devices used to measure traffic congestion levels, costs, and travel times more accurately than distances. The document outlines how big data is enabling more accurate out-of-home advertising measurement, economic forecasting at local levels, accounting for travel times instead of just distances, and enhanced real estate analysis based on drive times to locations.
Artificial intelligence (AI) is driven by advances in computing power, data storage, and algorithms. It will be more disruptive than previous technological shifts. AI techniques like machine learning, deep learning, and natural language processing are making platforms and systems smart enough to learn from data and interactions to anticipate needs and automate tasks. Consumers are already using AI without realizing it through apps from Google, Facebook, Amazon, and self-driving cars. This raises expectations for smart, seamless customer experiences from businesses. The e-book will explore how companies can take advantage of AI for sales, customer service, marketing, and other business functions.
Artificial intelligence (AI) is getting lots of attention from press and investors. It's a technology with the potential to transform many industries and many aspects of day to day life.
Many companies think AI will influence all aspects of their business from products to services.
This document provides a summary of mobile, big data, and how to build an app. It discusses the past, present and future of mobile, including how apps have evolved from being primarily viewed on computers to now being seen as mobile services. It also covers big data concepts like the 3Vs and provides examples of how companies like Netflix, Walmart, Zara and Twitter use big data. Finally, it discusses factors to consider when building an app such as whether to develop for iOS or Android, whether to use native apps or web apps, and estimated development costs.
Analytics and data science actuate one live nov 2011James Governor
Analytics and data science will define the next decade as several trends converge to create new opportunities. These trends include flash storage replacing disk drives, everything moving to the cloud, and declining costs of RAM and computing power. Anyone can now access huge computing clusters with a credit card. While the web democratized publishing, democratizing analytics and insights could have even more profound effects.
This doc dives into the world of data, explaining our philosophy of it in the agency world, and how we leverage data for our clients in a smart way. From collection to storage to visualization to action, we will explore each of these areas and show inspiring examples of how organizations are using data in a smarter way to attract and retain their customers. Regardless of how much data you have and where it is coming from, there are ways to identify just the right insights and nuggets to make your data understandable, actionable and simply beautiful to look at.
Heavy, messy, misleading. Why Big Data is a human problem, not a technology one.Francesco D'Orazio
"Big data" has been around for a few years now but for every hundred people talking about it there’s probably only one actually doing it. As a result Big Data has become the preferred vehicle for inflated expectations and misguided strategy.
As always, language holds the key and the seed of the issue is reflected in the expression itself. "Big Data" is not so much about a quality of the data or the tools to mine it, it’s about a new approach to product, policy or business strategy design. And that’s way harder and trickier to implement than any new technology stack.
In this talk I look at where Big Data is going, what are the real opportunities, limitations and dangers and what can we do to stop talking about it and start doing it today.
The document discusses big data and predictive analytics. It defines big data as the vast amount of data being created every day from various sources, noting that 90% of data in the world was created in the last two years. Predictive analytics is described as using data from the past to predict future outcomes. The document provides examples of how organizations like Netflix, Google, and the Obama campaign have successfully used big data and predictive analytics to gain insights and make better decisions.
Driving Big Insight from Big Data - T3 Summit TED Talk - Kevin ForemanKevin Foreman
This document discusses how big data can provide insights into traffic congestion and transportation issues. It notes that big data refers to extremely large data sets that are difficult to analyze using traditional methods. Examples of big data related to transportation include GPS data from over 100 million vehicles and devices used to measure traffic congestion levels, costs, and travel times more accurately than distances. The document outlines how big data is enabling more accurate out-of-home advertising measurement, economic forecasting at local levels, accounting for travel times instead of just distances, and enhanced real estate analysis based on drive times to locations.
Artificial intelligence (AI) is driven by advances in computing power, data storage, and algorithms. It will be more disruptive than previous technological shifts. AI techniques like machine learning, deep learning, and natural language processing are making platforms and systems smart enough to learn from data and interactions to anticipate needs and automate tasks. Consumers are already using AI without realizing it through apps from Google, Facebook, Amazon, and self-driving cars. This raises expectations for smart, seamless customer experiences from businesses. The e-book will explore how companies can take advantage of AI for sales, customer service, marketing, and other business functions.
Artificial intelligence (AI) is getting lots of attention from press and investors. It's a technology with the potential to transform many industries and many aspects of day to day life.
Many companies think AI will influence all aspects of their business from products to services.
This document provides a summary of mobile, big data, and how to build an app. It discusses the past, present and future of mobile, including how apps have evolved from being primarily viewed on computers to now being seen as mobile services. It also covers big data concepts like the 3Vs and provides examples of how companies like Netflix, Walmart, Zara and Twitter use big data. Finally, it discusses factors to consider when building an app such as whether to develop for iOS or Android, whether to use native apps or web apps, and estimated development costs.
Analytics and data science actuate one live nov 2011James Governor
Analytics and data science will define the next decade as several trends converge to create new opportunities. These trends include flash storage replacing disk drives, everything moving to the cloud, and declining costs of RAM and computing power. Anyone can now access huge computing clusters with a credit card. While the web democratized publishing, democratizing analytics and insights could have even more profound effects.
This document discusses digital transformation and the role of humans in an increasingly digital world. It explains that digitalization means using digital technologies to change business models and create new revenue opportunities. It then outlines many developing digital technologies from artificial intelligence to augmented reality. While these technologies may change work and society, the document argues that humans will still be needed to provide balance, constant learning, and human-centered perspectives in developing new technologies and business models.
Shift AI 2020: Trust & AI, considerations for scale | Kieran Towey (KPMG)Shift Conference
The document summarizes key facts from the 2019 Artificial Intelligence Index annual report. It states that AI research papers have grown over 300% between 1998 and 2018, global private AI investment was over $70 billion in 2019, and the time to train image classifiers has decreased dramatically. It also notes increasing investment in AI startups, exponential growth of AI computing power, and debates around the ethical use of technologies like facial recognition. Concerns are raised about ensuring AI is developed and used responsibly and for benefit of humanity. Trust in AI and governance of it are highlighted as important challenges that remain.
[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.
The document discusses artificial intelligence and its applications. It defines AI as the science and engineering of making intelligent machines, especially computer programs, and using computers to understand human intelligence. It notes that AI is seen in recommender systems, virtual assistants, face and object recognition used by companies like YouTube, Facebook, Amazon, Google. The document also discusses machine learning, the Turing test, game playing, applications of AI in healthcare like genome editing and nanobots, using AI for social good like reducing pollution and crime, and potential problems like unemployment and threats to privacy.
"""Hey Google, update my datasets and show the last 24 hours of activity.""
Boosting productivity via automated workflows is what FME is about and voice-commands can push that productivity to the next level. This presentation will talk about the methods and possible applications of a voice activated FME job.
The history behind me starting this project was because I asked myself ""Wouldn't it be funny if I could use my google home to update my seismic datasets?"" I then set out to create a workflow that pushed voice commands with arguments to an FME job via a .bat file, and the final product turned out great. I have shown it to plenty of people in multiple industries, and each has given me an example of how something like this could increase productivity in their work.
After watching this presentation, you will see how easy it is to set up this workflow. I hope to inspire you to implement this into your own workflows in your respective industries."
This document discusses how proptech (property technology) will significantly change the real estate industry over both the next two and ten years. It notes that traditional business models for estate agents will not remain the same and that online agents' models will also change. The document outlines how technologies like blockchain, artificial intelligence, virtual reality, and the internet of things will drive new opportunities in real estate through automation, data analysis, and improved processes. It emphasizes that the industry needs to evolve with technological changes to take advantage of emerging opportunities.
"Hey Google, update my datasets and show the last 24 hours of activity."
Boosting productivity via automated workflows is what FME is about and voice-commands can push that productivity to the next level. This presentation will talk about the methods and possible applications of a voice activated FME job.
The history behind me starting this project was because I asked myself ""Wouldn't it be funny if I could use my google home to update my seismic datasets?"" I then set out to create a workflow that pushed voice commands with arguments to an FME job via a .bat file, and the final product turned out great. I have shown it to plenty of people in multiple industries, and each has given me an example of how something like this could increase productivity in their work.
After watching this presentation, you will see how easy it is to set up this workflow. I hope to inspire you to implement this into your own workflows in your respective industries."
Driving the future of big data | PromptCloudPromptCloud
The Big data & Machine Learning emerge as crucial technological assets of the future. Scare over data-driven artificial intelligence replacing human creativity.
Learning Objective: Discuss the upcoming trends of information technology
This seminar looks at the forefront of technology trends in the community for technology leaders. As a technology professional, staying on top of trends is crucial. Below is a list of technology topics that this seminar will cover.
1. Emergence of the Mobile Cloud
Mobile distributed computing paradigm will lead to explosion of new services.
2. From Internet of Things to Web of Things
Need connectivity, internetworking to link physical and digital.
3. From Big Data to Extreme Data
Simpler analytics tools needed to leverage the data deluge.
4. The Revolution Will Be 3D
New tools; techniques bring 3D printing power to masses.
5. Supporting New Learning Styles
Online courses demand seamless, ubiquitous approach.
6. Next-generation mobile networks
Mobile infrastructure must catch up with user needs.
7. Balancing Identity and Privacy
Growing risks and concerns about social networks.
8. Smart and Connected Healthcare
Intelligent systems, assistive devices will improve health.
9. E-Government
Interoperability a big challenge to delivering information.
10. Scientific Cloud Computing
Key to solving grand challenges, pursuing breakthroughs.
At the end of this seminar, participants will be able to:
a. Explore the multiple uses of the internet.
b. Identify ways that technology can make our society more productive.
c. Examine what we give up when we advance technologically.
This document discusses the transition from e-government to open government. It begins by defining e-government and describing Austria's implementation of e-government systems. Drivers of change like digitization, mobility and connectivity are pushing governments toward more openness. Current topics discussed include the integration of internal and external services, open data, and smart cities. The document advocates for fields of action like digital governance frameworks, open data portals, governance models, legal frameworks and interoperability to advance open government.
100 Blue Ravine RoadFolsom, CA 95630916-932-1300www.erep.docxtrippettjettie
100 Blue Ravine Road
Folsom, CA 95630
916-932-1300
www.erepublic.com
Page #
__________Designer __________Creative Dir.
__________Editorial __________Prepress
__________Other ____________OK to go
5 25 50 75 95 100 5 25 50 75 95 100 5 25 50 75 95 100 5 25 50 75 95 100
BLACK
YELLOW
MAGENTA
CYAN
CMY grey T1 T2 T3
GT01_14.indd 14GT01_14.indd 14 12/11/19 3:34 PM12/11/19 3:34 PM
100 Blue Ravine Road
Folsom, CA 95630
916-932-1300
www.erepublic.com
Page #
__________Designer __________Creative Dir.
__________Editorial __________Prepress
__________Other ____________OK to go
5 25 50 75 95 100 5 25 50 75 95 100 5 25 50 75 95 100 5 25 50 75 95 100
BLACK
YELLOW
MAGENTA
CYAN
CMY grey T1 T2 T3
www.govtech.com // January/February 2020 15
Back to
the Future
How does the state
of tech in 2020 compare
to predictions made
on the cusp of Y2K?
By Pamela Martineau
2020
U
N
S
P
L
A
S
H
/C
H
R
IS
Y
A
N
G
GT01_14.indd 15GT01_14.indd 15 12/11/19 3:34 PM12/11/19 3:34 PM
100 Blue Ravine Road
Folsom, CA 95630
916-932-1300
www.erepublic.com
Page #
__________Designer __________Creative Dir.
__________Editorial __________Prepress
__________Other ____________OK to go
5 25 50 75 95 100 5 25 50 75 95 100 5 25 50 75 95 100 5 25 50 75 95 100
BLACK
YELLOW
MAGENTA
CYAN
CMY grey T1 T2 T3
Some of these tech predictions became
reality, while others never came close or
were only adopted in a limited fashion. And
some — especially in the area of policing —
exceeded expectations. And on the eve of
the year 2000, the world held its collective
breath, anticipating a massively disrup-
tive Y2K computer crash. But that never
happened at all, in large part because
governments prepared for it. Neverthe-
less, Y2K hype changed the way govern-
ments view and secure digital systems.
Rob Atkinson, president of the Information
Technology and Innovation Foundation,
said technological advancement
sometimes can be too fi ckle to predict.
“People tend to overestimate the
rate of technological change,” said
Atkinson, though there are exceptions.
Stephen Goldsmith, director of the
Innovations in Government Program
and Data-Smart City
Solution
s at the
John F. Kennedy School of Govern-
ment at Harvard University, said that
in some areas, technological advance-
ments have exceeded expectations
made in 2000. But governments have
not kept up with the pace of change
to the degree that could assist their
missions even more, he added.
“We still are operating in command
control silos and hierarchical systems
which tamp down the ability to dramati-
cally use the technological changes,”
said Goldsmith.
Here we look at where we w.
100 Blue Ravine RoadFolsom, CA 95630916-932-1300www.erep.docxherminaprocter
100 Blue Ravine Road
Folsom, CA 95630
916-932-1300
www.erepublic.com
Page #
__________Designer __________Creative Dir.
__________Editorial __________Prepress
__________Other ____________OK to go
5 25 50 75 95 100 5 25 50 75 95 100 5 25 50 75 95 100 5 25 50 75 95 100
BLACK
YELLOW
MAGENTA
CYAN
CMY grey T1 T2 T3
GT01_14.indd 14GT01_14.indd 14 12/11/19 3:34 PM12/11/19 3:34 PM
100 Blue Ravine Road
Folsom, CA 95630
916-932-1300
www.erepublic.com
Page #
__________Designer __________Creative Dir.
__________Editorial __________Prepress
__________Other ____________OK to go
5 25 50 75 95 100 5 25 50 75 95 100 5 25 50 75 95 100 5 25 50 75 95 100
BLACK
YELLOW
MAGENTA
CYAN
CMY grey T1 T2 T3
www.govtech.com // January/February 2020 15
Back to
the Future
How does the state
of tech in 2020 compare
to predictions made
on the cusp of Y2K?
By Pamela Martineau
2020
U
N
S
P
L
A
S
H
/C
H
R
IS
Y
A
N
G
GT01_14.indd 15GT01_14.indd 15 12/11/19 3:34 PM12/11/19 3:34 PM
100 Blue Ravine Road
Folsom, CA 95630
916-932-1300
www.erepublic.com
Page #
__________Designer __________Creative Dir.
__________Editorial __________Prepress
__________Other ____________OK to go
5 25 50 75 95 100 5 25 50 75 95 100 5 25 50 75 95 100 5 25 50 75 95 100
BLACK
YELLOW
MAGENTA
CYAN
CMY grey T1 T2 T3
Some of these tech predictions became
reality, while others never came close or
were only adopted in a limited fashion. And
some — especially in the area of policing —
exceeded expectations. And on the eve of
the year 2000, the world held its collective
breath, anticipating a massively disrup-
tive Y2K computer crash. But that never
happened at all, in large part because
governments prepared for it. Neverthe-
less, Y2K hype changed the way govern-
ments view and secure digital systems.
Rob Atkinson, president of the Information
Technology and Innovation Foundation,
said technological advancement
sometimes can be too fi ckle to predict.
“People tend to overestimate the
rate of technological change,” said
Atkinson, though there are exceptions.
Stephen Goldsmith, director of the
Innovations in Government Program
and Data-Smart City
Solution
s at the
John F. Kennedy School of Govern-
ment at Harvard University, said that
in some areas, technological advance-
ments have exceeded expectations
made in 2000. But governments have
not kept up with the pace of change
to the degree that could assist their
missions even more, he added.
“We still are operating in command
control silos and hierarchical systems
which tamp down the ability to dramati-
cally use the technological changes,”
said Goldsmith.
Here we look at where we w.
100 Blue Ravine RoadFolsom, CA 95630916-932-1300www.erep.docxRAJU852744
100 Blue Ravine Road
Folsom, CA 95630
916-932-1300
www.erepublic.com
Page #
__________Designer __________Creative Dir.
__________Editorial __________Prepress
__________Other ____________OK to go
5 25 50 75 95 100 5 25 50 75 95 100 5 25 50 75 95 100 5 25 50 75 95 100
BLACK
YELLOW
MAGENTA
CYAN
CMY grey T1 T2 T3
GT01_14.indd 14GT01_14.indd 14 12/11/19 3:34 PM12/11/19 3:34 PM
100 Blue Ravine Road
Folsom, CA 95630
916-932-1300
www.erepublic.com
Page #
__________Designer __________Creative Dir.
__________Editorial __________Prepress
__________Other ____________OK to go
5 25 50 75 95 100 5 25 50 75 95 100 5 25 50 75 95 100 5 25 50 75 95 100
BLACK
YELLOW
MAGENTA
CYAN
CMY grey T1 T2 T3
www.govtech.com // January/February 2020 15
Back to
the Future
How does the state
of tech in 2020 compare
to predictions made
on the cusp of Y2K?
By Pamela Martineau
2020
U
N
S
P
L
A
S
H
/C
H
R
IS
Y
A
N
G
GT01_14.indd 15GT01_14.indd 15 12/11/19 3:34 PM12/11/19 3:34 PM
100 Blue Ravine Road
Folsom, CA 95630
916-932-1300
www.erepublic.com
Page #
__________Designer __________Creative Dir.
__________Editorial __________Prepress
__________Other ____________OK to go
5 25 50 75 95 100 5 25 50 75 95 100 5 25 50 75 95 100 5 25 50 75 95 100
BLACK
YELLOW
MAGENTA
CYAN
CMY grey T1 T2 T3
Some of these tech predictions became
reality, while others never came close or
were only adopted in a limited fashion. And
some — especially in the area of policing —
exceeded expectations. And on the eve of
the year 2000, the world held its collective
breath, anticipating a massively disrup-
tive Y2K computer crash. But that never
happened at all, in large part because
governments prepared for it. Neverthe-
less, Y2K hype changed the way govern-
ments view and secure digital systems.
Rob Atkinson, president of the Information
Technology and Innovation Foundation,
said technological advancement
sometimes can be too fi ckle to predict.
“People tend to overestimate the
rate of technological change,” said
Atkinson, though there are exceptions.
Stephen Goldsmith, director of the
Innovations in Government Program
and Data-Smart City
Solution
s at the
John F. Kennedy School of Govern-
ment at Harvard University, said that
in some areas, technological advance-
ments have exceeded expectations
made in 2000. But governments have
not kept up with the pace of change
to the degree that could assist their
missions even more, he added.
“We still are operating in command
control silos and hierarchical systems
which tamp down the ability to dramati-
cally use the technological changes,”
said Goldsmith.
Here we look at where we w.
The document outlines 10 trends for 2014 including: 1) Art by algorithm where data drives creativity, 2) Growth of wearable technology reaching $20 billion by 2017, and 3) Expansion of social messaging apps attracting hundreds of millions of users. The biggest trends from 2013 are also summarized: 1) Big data becoming essential for companies, 2) Disruption in education from MOOCs, and 3) Continued growth of 3D printing applications and decreasing prices.
Big Data and the Future of Journalism (Futurist Keynote Speaker Gerd Leonhard...Gerd Leonhard
This is a slightly edited version of my slides presented in London on June 7, 2013 and the Reuters Institute see https://reutersinstitute.politics.ox.ac.uk/research/conferences/forthcoming-conferences/big-data-big-ideas-for-media.html
BTW: You can download ALL of my slideshows, free books and other stuff at http://futuristgerd.com/downloads/
"Data stockpiles are growing exponentially...consumer profiles, media content usage patterns, Twitter and Facebook posts, online purchases, public records, real-time media user behavior and much more. The Big Ideas conference speakers will inspire tactics and strategies to harness these data.
The media industry's leading edge experts from journalism and business disciplines will detail their own case studies, outlining their challenges and triumphs using tools to understand complex data sets. They will outline how these experiences have paved the way to prize-winning journalism, audience insights and growing revenues..."
Artificial Intelligence and the Revolution of Work.
Quantifying AI and Capitalizing on an Automated Global Workforce. NOrthHighland.
The 1982 film Blade Runner portrays a future with clones, intergalactic travel and flying cars. Yet when Harrison Ford's character, Deckard, needs to make a call he steps into a phone booth, punches in a 10-digit number and proceeds to converse connected by a cord.
BIG DATA MANAGEMENT - forget the hype, let's talk about the facts! Lisa Lang
This is a panel/workshop session developed for NEXT 2014 in Berlin.
Guests:
Lisa Lang (Twilio) Anke Domscheit-Berg (Opengov.me) Olga Steidl (Linko ) Ivan P. Yamshchikov (Yandex) Felienne Hermans (TU Delft)
----
Content:
Everyone is talking about Big Data – but what’s really behind it and how can you make data work for your business?
Collecting data is just one part of the puzzle. To source the right information, read it so it makes sense and -finally- how to execute on it is the most important task for successful big data management.
At this panel workshop we’ll listen to a lot of examples from big companies who’re dealing with massive amount of data on a daily basis. Each panel member will give a short demo and insight to their strategies and might revile some surprising facts.
This workshop is organised in cooperation with Berlin Geekettes.
The document discusses how digital technologies are disrupting various industries and the need for legal and secretarial professionals to embrace new technologies like artificial intelligence, blockchain, and cloud computing. It notes that AI can help with research, documentation, and advisory work, speeding things up and reducing costs. However, some jobs may be lost to automation. Overall, professionals need to adapt by gaining new tech skills, using apps to increase productivity, and working with institutes to modernize curriculum. Embracing change will lead to new opportunities in the evolving digital era.
This document discusses digital transformation and the role of humans in an increasingly digital world. It explains that digitalization means using digital technologies to change business models and create new revenue opportunities. It then outlines many developing digital technologies from artificial intelligence to augmented reality. While these technologies may change work and society, the document argues that humans will still be needed to provide balance, constant learning, and human-centered perspectives in developing new technologies and business models.
Shift AI 2020: Trust & AI, considerations for scale | Kieran Towey (KPMG)Shift Conference
The document summarizes key facts from the 2019 Artificial Intelligence Index annual report. It states that AI research papers have grown over 300% between 1998 and 2018, global private AI investment was over $70 billion in 2019, and the time to train image classifiers has decreased dramatically. It also notes increasing investment in AI startups, exponential growth of AI computing power, and debates around the ethical use of technologies like facial recognition. Concerns are raised about ensuring AI is developed and used responsibly and for benefit of humanity. Trust in AI and governance of it are highlighted as important challenges that remain.
[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.
The document discusses artificial intelligence and its applications. It defines AI as the science and engineering of making intelligent machines, especially computer programs, and using computers to understand human intelligence. It notes that AI is seen in recommender systems, virtual assistants, face and object recognition used by companies like YouTube, Facebook, Amazon, Google. The document also discusses machine learning, the Turing test, game playing, applications of AI in healthcare like genome editing and nanobots, using AI for social good like reducing pollution and crime, and potential problems like unemployment and threats to privacy.
"""Hey Google, update my datasets and show the last 24 hours of activity.""
Boosting productivity via automated workflows is what FME is about and voice-commands can push that productivity to the next level. This presentation will talk about the methods and possible applications of a voice activated FME job.
The history behind me starting this project was because I asked myself ""Wouldn't it be funny if I could use my google home to update my seismic datasets?"" I then set out to create a workflow that pushed voice commands with arguments to an FME job via a .bat file, and the final product turned out great. I have shown it to plenty of people in multiple industries, and each has given me an example of how something like this could increase productivity in their work.
After watching this presentation, you will see how easy it is to set up this workflow. I hope to inspire you to implement this into your own workflows in your respective industries."
This document discusses how proptech (property technology) will significantly change the real estate industry over both the next two and ten years. It notes that traditional business models for estate agents will not remain the same and that online agents' models will also change. The document outlines how technologies like blockchain, artificial intelligence, virtual reality, and the internet of things will drive new opportunities in real estate through automation, data analysis, and improved processes. It emphasizes that the industry needs to evolve with technological changes to take advantage of emerging opportunities.
"Hey Google, update my datasets and show the last 24 hours of activity."
Boosting productivity via automated workflows is what FME is about and voice-commands can push that productivity to the next level. This presentation will talk about the methods and possible applications of a voice activated FME job.
The history behind me starting this project was because I asked myself ""Wouldn't it be funny if I could use my google home to update my seismic datasets?"" I then set out to create a workflow that pushed voice commands with arguments to an FME job via a .bat file, and the final product turned out great. I have shown it to plenty of people in multiple industries, and each has given me an example of how something like this could increase productivity in their work.
After watching this presentation, you will see how easy it is to set up this workflow. I hope to inspire you to implement this into your own workflows in your respective industries."
Driving the future of big data | PromptCloudPromptCloud
The Big data & Machine Learning emerge as crucial technological assets of the future. Scare over data-driven artificial intelligence replacing human creativity.
Learning Objective: Discuss the upcoming trends of information technology
This seminar looks at the forefront of technology trends in the community for technology leaders. As a technology professional, staying on top of trends is crucial. Below is a list of technology topics that this seminar will cover.
1. Emergence of the Mobile Cloud
Mobile distributed computing paradigm will lead to explosion of new services.
2. From Internet of Things to Web of Things
Need connectivity, internetworking to link physical and digital.
3. From Big Data to Extreme Data
Simpler analytics tools needed to leverage the data deluge.
4. The Revolution Will Be 3D
New tools; techniques bring 3D printing power to masses.
5. Supporting New Learning Styles
Online courses demand seamless, ubiquitous approach.
6. Next-generation mobile networks
Mobile infrastructure must catch up with user needs.
7. Balancing Identity and Privacy
Growing risks and concerns about social networks.
8. Smart and Connected Healthcare
Intelligent systems, assistive devices will improve health.
9. E-Government
Interoperability a big challenge to delivering information.
10. Scientific Cloud Computing
Key to solving grand challenges, pursuing breakthroughs.
At the end of this seminar, participants will be able to:
a. Explore the multiple uses of the internet.
b. Identify ways that technology can make our society more productive.
c. Examine what we give up when we advance technologically.
This document discusses the transition from e-government to open government. It begins by defining e-government and describing Austria's implementation of e-government systems. Drivers of change like digitization, mobility and connectivity are pushing governments toward more openness. Current topics discussed include the integration of internal and external services, open data, and smart cities. The document advocates for fields of action like digital governance frameworks, open data portals, governance models, legal frameworks and interoperability to advance open government.
100 Blue Ravine RoadFolsom, CA 95630916-932-1300www.erep.docxtrippettjettie
100 Blue Ravine Road
Folsom, CA 95630
916-932-1300
www.erepublic.com
Page #
__________Designer __________Creative Dir.
__________Editorial __________Prepress
__________Other ____________OK to go
5 25 50 75 95 100 5 25 50 75 95 100 5 25 50 75 95 100 5 25 50 75 95 100
BLACK
YELLOW
MAGENTA
CYAN
CMY grey T1 T2 T3
GT01_14.indd 14GT01_14.indd 14 12/11/19 3:34 PM12/11/19 3:34 PM
100 Blue Ravine Road
Folsom, CA 95630
916-932-1300
www.erepublic.com
Page #
__________Designer __________Creative Dir.
__________Editorial __________Prepress
__________Other ____________OK to go
5 25 50 75 95 100 5 25 50 75 95 100 5 25 50 75 95 100 5 25 50 75 95 100
BLACK
YELLOW
MAGENTA
CYAN
CMY grey T1 T2 T3
www.govtech.com // January/February 2020 15
Back to
the Future
How does the state
of tech in 2020 compare
to predictions made
on the cusp of Y2K?
By Pamela Martineau
2020
U
N
S
P
L
A
S
H
/C
H
R
IS
Y
A
N
G
GT01_14.indd 15GT01_14.indd 15 12/11/19 3:34 PM12/11/19 3:34 PM
100 Blue Ravine Road
Folsom, CA 95630
916-932-1300
www.erepublic.com
Page #
__________Designer __________Creative Dir.
__________Editorial __________Prepress
__________Other ____________OK to go
5 25 50 75 95 100 5 25 50 75 95 100 5 25 50 75 95 100 5 25 50 75 95 100
BLACK
YELLOW
MAGENTA
CYAN
CMY grey T1 T2 T3
Some of these tech predictions became
reality, while others never came close or
were only adopted in a limited fashion. And
some — especially in the area of policing —
exceeded expectations. And on the eve of
the year 2000, the world held its collective
breath, anticipating a massively disrup-
tive Y2K computer crash. But that never
happened at all, in large part because
governments prepared for it. Neverthe-
less, Y2K hype changed the way govern-
ments view and secure digital systems.
Rob Atkinson, president of the Information
Technology and Innovation Foundation,
said technological advancement
sometimes can be too fi ckle to predict.
“People tend to overestimate the
rate of technological change,” said
Atkinson, though there are exceptions.
Stephen Goldsmith, director of the
Innovations in Government Program
and Data-Smart City
Solution
s at the
John F. Kennedy School of Govern-
ment at Harvard University, said that
in some areas, technological advance-
ments have exceeded expectations
made in 2000. But governments have
not kept up with the pace of change
to the degree that could assist their
missions even more, he added.
“We still are operating in command
control silos and hierarchical systems
which tamp down the ability to dramati-
cally use the technological changes,”
said Goldsmith.
Here we look at where we w.
100 Blue Ravine RoadFolsom, CA 95630916-932-1300www.erep.docxherminaprocter
100 Blue Ravine Road
Folsom, CA 95630
916-932-1300
www.erepublic.com
Page #
__________Designer __________Creative Dir.
__________Editorial __________Prepress
__________Other ____________OK to go
5 25 50 75 95 100 5 25 50 75 95 100 5 25 50 75 95 100 5 25 50 75 95 100
BLACK
YELLOW
MAGENTA
CYAN
CMY grey T1 T2 T3
GT01_14.indd 14GT01_14.indd 14 12/11/19 3:34 PM12/11/19 3:34 PM
100 Blue Ravine Road
Folsom, CA 95630
916-932-1300
www.erepublic.com
Page #
__________Designer __________Creative Dir.
__________Editorial __________Prepress
__________Other ____________OK to go
5 25 50 75 95 100 5 25 50 75 95 100 5 25 50 75 95 100 5 25 50 75 95 100
BLACK
YELLOW
MAGENTA
CYAN
CMY grey T1 T2 T3
www.govtech.com // January/February 2020 15
Back to
the Future
How does the state
of tech in 2020 compare
to predictions made
on the cusp of Y2K?
By Pamela Martineau
2020
U
N
S
P
L
A
S
H
/C
H
R
IS
Y
A
N
G
GT01_14.indd 15GT01_14.indd 15 12/11/19 3:34 PM12/11/19 3:34 PM
100 Blue Ravine Road
Folsom, CA 95630
916-932-1300
www.erepublic.com
Page #
__________Designer __________Creative Dir.
__________Editorial __________Prepress
__________Other ____________OK to go
5 25 50 75 95 100 5 25 50 75 95 100 5 25 50 75 95 100 5 25 50 75 95 100
BLACK
YELLOW
MAGENTA
CYAN
CMY grey T1 T2 T3
Some of these tech predictions became
reality, while others never came close or
were only adopted in a limited fashion. And
some — especially in the area of policing —
exceeded expectations. And on the eve of
the year 2000, the world held its collective
breath, anticipating a massively disrup-
tive Y2K computer crash. But that never
happened at all, in large part because
governments prepared for it. Neverthe-
less, Y2K hype changed the way govern-
ments view and secure digital systems.
Rob Atkinson, president of the Information
Technology and Innovation Foundation,
said technological advancement
sometimes can be too fi ckle to predict.
“People tend to overestimate the
rate of technological change,” said
Atkinson, though there are exceptions.
Stephen Goldsmith, director of the
Innovations in Government Program
and Data-Smart City
Solution
s at the
John F. Kennedy School of Govern-
ment at Harvard University, said that
in some areas, technological advance-
ments have exceeded expectations
made in 2000. But governments have
not kept up with the pace of change
to the degree that could assist their
missions even more, he added.
“We still are operating in command
control silos and hierarchical systems
which tamp down the ability to dramati-
cally use the technological changes,”
said Goldsmith.
Here we look at where we w.
100 Blue Ravine RoadFolsom, CA 95630916-932-1300www.erep.docxRAJU852744
100 Blue Ravine Road
Folsom, CA 95630
916-932-1300
www.erepublic.com
Page #
__________Designer __________Creative Dir.
__________Editorial __________Prepress
__________Other ____________OK to go
5 25 50 75 95 100 5 25 50 75 95 100 5 25 50 75 95 100 5 25 50 75 95 100
BLACK
YELLOW
MAGENTA
CYAN
CMY grey T1 T2 T3
GT01_14.indd 14GT01_14.indd 14 12/11/19 3:34 PM12/11/19 3:34 PM
100 Blue Ravine Road
Folsom, CA 95630
916-932-1300
www.erepublic.com
Page #
__________Designer __________Creative Dir.
__________Editorial __________Prepress
__________Other ____________OK to go
5 25 50 75 95 100 5 25 50 75 95 100 5 25 50 75 95 100 5 25 50 75 95 100
BLACK
YELLOW
MAGENTA
CYAN
CMY grey T1 T2 T3
www.govtech.com // January/February 2020 15
Back to
the Future
How does the state
of tech in 2020 compare
to predictions made
on the cusp of Y2K?
By Pamela Martineau
2020
U
N
S
P
L
A
S
H
/C
H
R
IS
Y
A
N
G
GT01_14.indd 15GT01_14.indd 15 12/11/19 3:34 PM12/11/19 3:34 PM
100 Blue Ravine Road
Folsom, CA 95630
916-932-1300
www.erepublic.com
Page #
__________Designer __________Creative Dir.
__________Editorial __________Prepress
__________Other ____________OK to go
5 25 50 75 95 100 5 25 50 75 95 100 5 25 50 75 95 100 5 25 50 75 95 100
BLACK
YELLOW
MAGENTA
CYAN
CMY grey T1 T2 T3
Some of these tech predictions became
reality, while others never came close or
were only adopted in a limited fashion. And
some — especially in the area of policing —
exceeded expectations. And on the eve of
the year 2000, the world held its collective
breath, anticipating a massively disrup-
tive Y2K computer crash. But that never
happened at all, in large part because
governments prepared for it. Neverthe-
less, Y2K hype changed the way govern-
ments view and secure digital systems.
Rob Atkinson, president of the Information
Technology and Innovation Foundation,
said technological advancement
sometimes can be too fi ckle to predict.
“People tend to overestimate the
rate of technological change,” said
Atkinson, though there are exceptions.
Stephen Goldsmith, director of the
Innovations in Government Program
and Data-Smart City
Solution
s at the
John F. Kennedy School of Govern-
ment at Harvard University, said that
in some areas, technological advance-
ments have exceeded expectations
made in 2000. But governments have
not kept up with the pace of change
to the degree that could assist their
missions even more, he added.
“We still are operating in command
control silos and hierarchical systems
which tamp down the ability to dramati-
cally use the technological changes,”
said Goldsmith.
Here we look at where we w.
The document outlines 10 trends for 2014 including: 1) Art by algorithm where data drives creativity, 2) Growth of wearable technology reaching $20 billion by 2017, and 3) Expansion of social messaging apps attracting hundreds of millions of users. The biggest trends from 2013 are also summarized: 1) Big data becoming essential for companies, 2) Disruption in education from MOOCs, and 3) Continued growth of 3D printing applications and decreasing prices.
Big Data and the Future of Journalism (Futurist Keynote Speaker Gerd Leonhard...Gerd Leonhard
This is a slightly edited version of my slides presented in London on June 7, 2013 and the Reuters Institute see https://reutersinstitute.politics.ox.ac.uk/research/conferences/forthcoming-conferences/big-data-big-ideas-for-media.html
BTW: You can download ALL of my slideshows, free books and other stuff at http://futuristgerd.com/downloads/
"Data stockpiles are growing exponentially...consumer profiles, media content usage patterns, Twitter and Facebook posts, online purchases, public records, real-time media user behavior and much more. The Big Ideas conference speakers will inspire tactics and strategies to harness these data.
The media industry's leading edge experts from journalism and business disciplines will detail their own case studies, outlining their challenges and triumphs using tools to understand complex data sets. They will outline how these experiences have paved the way to prize-winning journalism, audience insights and growing revenues..."
Artificial Intelligence and the Revolution of Work.
Quantifying AI and Capitalizing on an Automated Global Workforce. NOrthHighland.
The 1982 film Blade Runner portrays a future with clones, intergalactic travel and flying cars. Yet when Harrison Ford's character, Deckard, needs to make a call he steps into a phone booth, punches in a 10-digit number and proceeds to converse connected by a cord.
BIG DATA MANAGEMENT - forget the hype, let's talk about the facts! Lisa Lang
This is a panel/workshop session developed for NEXT 2014 in Berlin.
Guests:
Lisa Lang (Twilio) Anke Domscheit-Berg (Opengov.me) Olga Steidl (Linko ) Ivan P. Yamshchikov (Yandex) Felienne Hermans (TU Delft)
----
Content:
Everyone is talking about Big Data – but what’s really behind it and how can you make data work for your business?
Collecting data is just one part of the puzzle. To source the right information, read it so it makes sense and -finally- how to execute on it is the most important task for successful big data management.
At this panel workshop we’ll listen to a lot of examples from big companies who’re dealing with massive amount of data on a daily basis. Each panel member will give a short demo and insight to their strategies and might revile some surprising facts.
This workshop is organised in cooperation with Berlin Geekettes.
The document discusses how digital technologies are disrupting various industries and the need for legal and secretarial professionals to embrace new technologies like artificial intelligence, blockchain, and cloud computing. It notes that AI can help with research, documentation, and advisory work, speeding things up and reducing costs. However, some jobs may be lost to automation. Overall, professionals need to adapt by gaining new tech skills, using apps to increase productivity, and working with institutes to modernize curriculum. Embracing change will lead to new opportunities in the evolving digital era.
This document provides a brief history of big data, from the earliest known uses of data storage thousands of years ago to modern applications of big data. It outlines key developments such as the creation of early data storage and analysis methods, the development of computerized data processing, and the growth of data collection and sharing through the internet and mobile technology. The document also discusses the increasing volume of data generated every day through online activities and defines some of the main challenges in working with big data today.
'Internet of Things' is on its way to become 'Internet of Everything'
This Internet of Things (IoT) infograph from eInfochips will inform you about the growth, future opportunities and the technological involvement in this segment.
Tijdens de vierde sessie van de vierdelige reeks Master Minds on Data Science hield Eric van Tol een presentatie over businesscases en verdienmodellen.
The document discusses the growth of big data, defining it as data that exceeds capabilities to capture, manage and process within a tolerable time. It notes global data grew from 800 terabytes in 2001 to over 2 zettabytes in 2012 and is projected to reach 35 zettabytes by 2020. Examples of big data sources include social media posts, web searches, medical records and sensor data. The value of big data lies in making information transparent and usable at high frequency to improve decision making, products/services and productivity. However, big data also faces challenges around skills shortage, privacy concerns and overreliance on past data.
When anything is possible, where do you begin?
When trillions of things can be connected, which things should you connect?
Start now, because the Internet of Things begins with your things and simple changes can transform your business right now.
Integra: Summiting the Mountain of Big Data (Infographic)Jessica Legg
Concepted, copywrote and creative directed the development of a new infographic for Integra around the theme of Big Data.
Summary: The mountain of Big Data is growing, presenting immense opportunities for businesses ready to summit its peak, but the journey requires preparation.
Our infographic will help you understand how big "Big Data" is; the business advantages you can capture by tapping into its power; and how you can prepare to meet its demands—resulting in Big Gains from Big Data.
Steve Lucas presentation on #BigData at the SAP & Intel 2013 Forum on Big Data, August 27, 2013. @nstevenlucas
Big data is changing the world. With more information available than ever before, we can gain insights to grow, produce, and advance in real-time.
The document discusses predictions for the digital future, focusing on the growing Internet of Things where everyday objects are connected to the internet and able to send and receive data. It describes how this connectivity could lead to an "invisible, ambient networked computing environment" by 2025. Examples are given of current Internet of Things applications in areas like wearable devices, homes, cars and more. Concerns about privacy, security and complexity are also mentioned. The document additionally discusses concepts like predictive marketing and a potential technological singularity in 2045 resulting from exponential growth of technologies.
The document summarizes key mobile and internet trends from 2018. It notes that mobile devices are becoming cheaper, faster and smarter with features like portrait photos and wireless charging becoming common across devices. Internet penetration continues to grow globally while time spent on digital media, especially mobile apps, is increasing significantly and expected to double by 2021. Emerging technologies like 5G, internet of things, voice interfaces, virtual and augmented reality saw major developments and investments in 2018 and are poised for further growth. Security remains a major concern especially with more devices connecting to the internet.
Data pipelines are hard to build and maintain. This is due to complexity of big data open source ecosystem that has numerous software each specializing in solving one piece of the puzzle. In this talk, we will focus on three key open source software Apache Pulsar, Apache Heron and Apache BookKeeper and how are integrated to make it easy to build data pipelines.
Similar to Data overload versus Data underload (20)
My presentation I did at the Fachhochschule Potsdam called "Berlin: connecting the unwired". The talk was about cities, information and the role of data.
My Pecha Kucha Berlin presentation about cities, information, patterns and maps. The event was held on August 31st at the 'Festsaal Kreuzberg' - 20 slides, 20 seconds per slide.
The document discusses information design and the role of data in design. It notes that good design is about users, not designers, and is not done by a single designer but by understanding users and improving through learning from their experiences. Design should focus on what users do, not what designers or users want.
A small presentation I did at the Newthinking Store about Hack De Overheid - an event I co-organized in Amsterdam that involved hacking, scraping and designing government data.
We're thinking of organizing a similar event in Berlin. Let me know what you think about it.
Presentation I did at Social Bar at the 4th of November in Berlin. It's a 10 minute talk about open government data for people who are not familiar with the topic.
At the Nokia Rooftop co-creation session, I did this presentation about 'how creativity on the move' would look like for me personally. My thoughts were going towards harvesting data and trying to spark serendipity. It's a little rough on the edges, but people liked it.
Main news related to the CCS TSI 2023 (2023/1695)Jakub Marek
An English 🇬🇧 translation of a presentation to the speech I gave about the main changes brought by CCS TSI 2023 at the biggest Czech conference on Communications and signalling systems on Railways, which was held in Clarion Hotel Olomouc from 7th to 9th November 2023 (konferenceszt.cz). Attended by around 500 participants and 200 on-line followers.
The original Czech 🇨🇿 version of the presentation can be found here: https://www.slideshare.net/slideshow/hlavni-novinky-souvisejici-s-ccs-tsi-2023-2023-1695/269688092 .
The videorecording (in Czech) from the presentation is available here: https://youtu.be/WzjJWm4IyPk?si=SImb06tuXGb30BEH .
"Choosing proper type of scaling", Olena SyrotaFwdays
Imagine an IoT processing system that is already quite mature and production-ready and for which client coverage is growing and scaling and performance aspects are life and death questions. The system has Redis, MongoDB, and stream processing based on ksqldb. In this talk, firstly, we will analyze scaling approaches and then select the proper ones for our system.
Digital Banking in the Cloud: How Citizens Bank Unlocked Their MainframePrecisely
Inconsistent user experience and siloed data, high costs, and changing customer expectations – Citizens Bank was experiencing these challenges while it was attempting to deliver a superior digital banking experience for its clients. Its core banking applications run on the mainframe and Citizens was using legacy utilities to get the critical mainframe data to feed customer-facing channels, like call centers, web, and mobile. Ultimately, this led to higher operating costs (MIPS), delayed response times, and longer time to market.
Ever-changing customer expectations demand more modern digital experiences, and the bank needed to find a solution that could provide real-time data to its customer channels with low latency and operating costs. Join this session to learn how Citizens is leveraging Precisely to replicate mainframe data to its customer channels and deliver on their “modern digital bank” experiences.
Connector Corner: Seamlessly power UiPath Apps, GenAI with prebuilt connectorsDianaGray10
Join us to learn how UiPath Apps can directly and easily interact with prebuilt connectors via Integration Service--including Salesforce, ServiceNow, Open GenAI, and more.
The best part is you can achieve this without building a custom workflow! Say goodbye to the hassle of using separate automations to call APIs. By seamlessly integrating within App Studio, you can now easily streamline your workflow, while gaining direct access to our Connector Catalog of popular applications.
We’ll discuss and demo the benefits of UiPath Apps and connectors including:
Creating a compelling user experience for any software, without the limitations of APIs.
Accelerating the app creation process, saving time and effort
Enjoying high-performance CRUD (create, read, update, delete) operations, for
seamless data management.
Speakers:
Russell Alfeche, Technology Leader, RPA at qBotic and UiPath MVP
Charlie Greenberg, host
Programming Foundation Models with DSPy - Meetup SlidesZilliz
Prompting language models is hard, while programming language models is easy. In this talk, I will discuss the state-of-the-art framework DSPy for programming foundation models with its powerful optimizers and runtime constraint system.
Fueling AI with Great Data with Airbyte WebinarZilliz
This talk will focus on how to collect data from a variety of sources, leveraging this data for RAG and other GenAI use cases, and finally charting your course to productionalization.
Freshworks Rethinks NoSQL for Rapid Scaling & Cost-EfficiencyScyllaDB
Freshworks creates AI-boosted business software that helps employees work more efficiently and effectively. Managing data across multiple RDBMS and NoSQL databases was already a challenge at their current scale. To prepare for 10X growth, they knew it was time to rethink their database strategy. Learn how they architected a solution that would simplify scaling while keeping costs under control.
zkStudyClub - LatticeFold: A Lattice-based Folding Scheme and its Application...Alex Pruden
Folding is a recent technique for building efficient recursive SNARKs. Several elegant folding protocols have been proposed, such as Nova, Supernova, Hypernova, Protostar, and others. However, all of them rely on an additively homomorphic commitment scheme based on discrete log, and are therefore not post-quantum secure. In this work we present LatticeFold, the first lattice-based folding protocol based on the Module SIS problem. This folding protocol naturally leads to an efficient recursive lattice-based SNARK and an efficient PCD scheme. LatticeFold supports folding low-degree relations, such as R1CS, as well as high-degree relations, such as CCS. The key challenge is to construct a secure folding protocol that works with the Ajtai commitment scheme. The difficulty, is ensuring that extracted witnesses are low norm through many rounds of folding. We present a novel technique using the sumcheck protocol to ensure that extracted witnesses are always low norm no matter how many rounds of folding are used. Our evaluation of the final proof system suggests that it is as performant as Hypernova, while providing post-quantum security.
Paper Link: https://eprint.iacr.org/2024/257
What is an RPA CoE? Session 1 – CoE VisionDianaGray10
In the first session, we will review the organization's vision and how this has an impact on the COE Structure.
Topics covered:
• The role of a steering committee
• How do the organization’s priorities determine CoE Structure?
Speaker:
Chris Bolin, Senior Intelligent Automation Architect Anika Systems
Generating privacy-protected synthetic data using Secludy and MilvusZilliz
During this demo, the founders of Secludy will demonstrate how their system utilizes Milvus to store and manipulate embeddings for generating privacy-protected synthetic data. Their approach not only maintains the confidentiality of the original data but also enhances the utility and scalability of LLMs under privacy constraints. Attendees, including machine learning engineers, data scientists, and data managers, will witness first-hand how Secludy's integration with Milvus empowers organizations to harness the power of LLMs securely and efficiently.
Discover top-tier mobile app development services, offering innovative solutions for iOS and Android. Enhance your business with custom, user-friendly mobile applications.
How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdfChart Kalyan
A Mix Chart displays historical data of numbers in a graphical or tabular form. The Kalyan Rajdhani Mix Chart specifically shows the results of a sequence of numbers over different periods.
"Frontline Battles with DDoS: Best practices and Lessons Learned", Igor IvaniukFwdays
At this talk we will discuss DDoS protection tools and best practices, discuss network architectures and what AWS has to offer. Also, we will look into one of the largest DDoS attacks on Ukrainian infrastructure that happened in February 2022. We'll see, what techniques helped to keep the web resources available for Ukrainians and how AWS improved DDoS protection for all customers based on Ukraine experience