The mobile phone has become the most ubiquitous computing device in the world, surpassing other technologies like computers, televisions, and landline phones. The document traces the evolution of mobile phones from the early analog systems of the 1970s and 1980s to the digital 2G networks of the 1990s and 3G networks that enabled internet access in the 2000s. The introduction of the iPhone in 2007 is described as a major turning point that established touchscreens and app stores as the dominant design of smartphones, fueling unprecedented growth in mobile applications and transforming how people use mobile devices.
The ideas for cellular phones were developed in the 1940s. However, it was not until the microprocessor becomes available that practical commercial solutions are possible.
Today there are more than 4 billion mobile phone subscriptions in the world. In the last few years the increase has been most dramatic in developing countries. Telecoms operators have tried to capitalise on this by offering new services that will generate new revenues for them. Mobile Applications are increasing revenues for the operators while voices revenues are getting less and less. But what are mobile applications?
In this lecture we look mobile.
Cell Phone Evolution: The Mobile Phone Technologycellphonerumble
These wireless devices known as #CellPhones that seem to have it all are now an important part of every one’s life all around the globe. From a mere tool that make and receive calls, it has now transcended into a multifaceted device.
This presentation showcases the transformation of this gadget from the first official mobile phone used in Sweden to the smartphone that it has become today.
The ideas for cellular phones were developed in the 1940s. However, it was not until the microprocessor becomes available that practical commercial solutions are possible.
Today there are more than 4 billion mobile phone subscriptions in the world. In the last few years the increase has been most dramatic in developing countries. Telecoms operators have tried to capitalise on this by offering new services that will generate new revenues for them. Mobile Applications are increasing revenues for the operators while voices revenues are getting less and less. But what are mobile applications?
In this lecture we look mobile.
Cell Phone Evolution: The Mobile Phone Technologycellphonerumble
These wireless devices known as #CellPhones that seem to have it all are now an important part of every one’s life all around the globe. From a mere tool that make and receive calls, it has now transcended into a multifaceted device.
This presentation showcases the transformation of this gadget from the first official mobile phone used in Sweden to the smartphone that it has become today.
-History of Mobile Phones.
-How many People Using Smartphone?
-Number of smartphone users worldwide from 2014 to 2020 (in billions)
-What People Think about Mobile Phone Technology?
-Percentage of usage of Mobile Phones While doing Another task
-Where People place their Phone while Sleeping?
-Some other Interesting Stats
-Advantages & Disadvantages of Using Mobile Phones
The world has witnessed the advancement of cell-phones & humans in the past century. Just as humans evolved from ape man to current obese man, cell-phones have also evolved from bulky, heavy & expensive models to sleek, light weight & affordable models. This deck elaborates the evolution of cell-phones from box-like instruments to smart-phones!
Slides from a talk entitled “Browsing as the killer app: The success of the iPhone,” given at the Quello Center for Telecommunication Management & Law, Michigan State University, April 24, 2009. Based on a paper by Joel West and Michael Mace.
The ideas for cellular phones were developed in the 1940s. However, it was not until the microprocessor becomes available that practical commercial solutions are possible.
Today there are more than 4.7 billion unique mobile phone subscriptions in the world and of them about 2 billion are smartphones. This device is so powerful that people check it over 40 times a day.
In this lecture we look mobile. We also look at the history of communication since the telegraph and how the moble market developed in the 80s and 90s until the iPhone was released in 2007. That same year Western Union stopped sending telegraph messages.
The ideas for cellular phones were developed in the 1940s. However, it was not until the microprocessor becomes available that practical commercial solutions are possible.
Today there are more than 4.7 billion unique mobile phone subscriptions in the world and of them about 2 bilion are smartphones. This device is so powerful that people check it over 40 times a day.
In this lecture we look mobile. We also look at the history of communication since the telegraph and how the moble market developed in the 80s and 90s until the iPhone was released in 2007. That same year Western Union stopped sending telegraph messages.
-History of Mobile Phones.
-How many People Using Smartphone?
-Number of smartphone users worldwide from 2014 to 2020 (in billions)
-What People Think about Mobile Phone Technology?
-Percentage of usage of Mobile Phones While doing Another task
-Where People place their Phone while Sleeping?
-Some other Interesting Stats
-Advantages & Disadvantages of Using Mobile Phones
The world has witnessed the advancement of cell-phones & humans in the past century. Just as humans evolved from ape man to current obese man, cell-phones have also evolved from bulky, heavy & expensive models to sleek, light weight & affordable models. This deck elaborates the evolution of cell-phones from box-like instruments to smart-phones!
Slides from a talk entitled “Browsing as the killer app: The success of the iPhone,” given at the Quello Center for Telecommunication Management & Law, Michigan State University, April 24, 2009. Based on a paper by Joel West and Michael Mace.
The ideas for cellular phones were developed in the 1940s. However, it was not until the microprocessor becomes available that practical commercial solutions are possible.
Today there are more than 4.7 billion unique mobile phone subscriptions in the world and of them about 2 billion are smartphones. This device is so powerful that people check it over 40 times a day.
In this lecture we look mobile. We also look at the history of communication since the telegraph and how the moble market developed in the 80s and 90s until the iPhone was released in 2007. That same year Western Union stopped sending telegraph messages.
The ideas for cellular phones were developed in the 1940s. However, it was not until the microprocessor becomes available that practical commercial solutions are possible.
Today there are more than 4.7 billion unique mobile phone subscriptions in the world and of them about 2 bilion are smartphones. This device is so powerful that people check it over 40 times a day.
In this lecture we look mobile. We also look at the history of communication since the telegraph and how the moble market developed in the 80s and 90s until the iPhone was released in 2007. That same year Western Union stopped sending telegraph messages.
The ideas for cellular phones were developed in the 1940s. However, it was not until the microprocessor becomes available that practical commercial solutions are possible.
Today there are more than 5 billion unique mobile phone subscriptions in the world and of them about 2.5 billion are smartphones. This device is so powerful that people check it over 40 times a day.
In this lecture we look mobile. We also look at the history of communication since the telegraph and how the mobile market developed in the 80s and 90s until the iPhone was released in 2007. That same year Western Union stopped sending telegraph messages.
Mobile broadband is becoming a reality, as the Internet generation grows accustomed to having broadband access wherever they go, Out of 5.8 billion people who will have broadband by 2017. It should surprise no one that the Smartphone revolution is fueling this growth, and by 2017, half of all mobile devices in the world will be smart phones. The key to keeping users happy is network performance and good value for the money. From the looks of it, we are on track to seeing continued network performance improvements and increasingly easier access to smart phones as developing markets hop on the bandwagon.
2010 Service Innovation course Bman62052 seminar 3 Videotex And DesignIan Miles
Videotex as a case of an information service innovation where design and other features had major impacts on success and failure in different countries
To measure / determine the brand image, perceptions, attitudes and behaviour of the target audience with regard to the Nokia Android.
To interpret the results of the measurements based on statistical analysis.
This is my final report that i made in my course information communication technology about cell phone system technology
it include all generation of 1g-5g help students to take idea from it thank you happy learning
Fyrirlestur fyrir Félag tölvunarfræðinga og Verkfræðingafélagið þann 18.05.2022
Nýsköpun er forsenda tækniframfara sem eru forsendur framþróunar. Nýsköpun byrjar yfirleitt smátt og þarf margar ítranir til að virka. Frumkvöðlar sem eru að búa til nýjungar þurfa ekki einungis að glíma við tæknina og takmarkanir hennar, heldur einnig skoðanir og álit samtímamanna sem sjá ekki alltaf tilgang með nýrri tækni. Í þessum fyrirlestri skoðar Ólafur Andri nýsköpun og þær framfarir sem hafa orðið. Einnig skoðar hann hvert tækniframfarir nútímans muni leiða okkur á komandi árum.
Ólafur Andri Ragnarsson er aðjúnkt við Háskólann í Reykjavík og kennir þar námskeið um tækniþróun og hvernig tæknibreytingar hafa áhrif á fyrirtæki. Hann er tölvunarfræðingur (Msc) að mennt frá Oregon University í Bandaríkjanum. Ólafur Andri er frumkvöðull og stofnaði, ásamt fleirum, Margmiðlun og síðar Betware. Þá tók Ólafur Andri þátt í að stofna leikjafyrirtækið Raw Fury AB í Stokkhólmi.
Fyrirlestur haldinn fyrir tæknifaghóp Stjórnvísi þann 13. október 2020.
Undanfarna áratugi höfum við séð gríðalegar framfarir í tækni og nýsköpun á heimsvísu. Þessar framfarir hafa skapað mannkyninu öllu aukna hagsæld. Þrátt fyrir veirufaraldur á heimsvísu eru framfarir ekkert að minnka heldur munu bara aukast næstu árum. Gervgreind, róbotar, sýndarveruleiki, hlutanetið og margt fleira er að búa til nýjar lausnir og ný tækifæri. Framtíðin er í senn sveipuð dulúð og getur verið spennandi og ógnvekjandi í senn. Eina sem við vitum fyrir vissu er að framtíðin verður alltaf betri. Í þessu fyrirlestri ætlar Ólafur Andri Ragnarsson kennari við HR að fjalla um nýjustu tækni og framtíðina.
Technology is one of the factors of change. When new disruptive technology is introduced, it can change industries. We have many examples of that and will start this journey it one of the most important innovation that has come in our lifetimes, the smartphone. We will explore the impact of the smartphone and the fate of existing companies at the time when iPhone, the first smartphone as we know them, was introduced to the world.
We will also look at other examples from history. Then we look at the broader picture, past industrial revolutions and the one that we are experiencing now, the fourth industrial revolution. Specifically we look briefly at the technologies that fuel this revolution, for example artificial intelligence, robotics, drones, internet of things and more.
Manlike machines have fascinated humans since ancient times. The modern robots start to take shape with the industrial revolution. In the 20th century robots were mostly industrial machines you would see in factories, like car factories.
Today, robots can have sensors, vision, they can hear and understand. They can connect to the cloud for more information. However, we are still in the early stages of robotics and robots will need to go a long way to become useful as a ubiquitous general purpose devices.
The normal interaction with computers is with keyboard and a mouse. For display a rectangular somewhat small screen is used with 2D windowing systems. The mouse was invented more the 40 years ago and has been for 20 years dominant input. Now we are seeing new types of input devices. Multi-touch adds new dimensions and new applications. Natural user interfaces or gesture interfaces where people point to drag objects. Computers are also beginning to recognize facial expressions of people, so it knows if you are smiling. Voice and natural language understanding is getting to a usable stage. All this calls all types of new applications.
Displays are getting bigger. What if any surface was a screen? If you could spray the wall with screen? Or have you phone project images to the wall.
This lectures explores some of these new types of interactions with computers and software. It makes the old mouse look old.
Local is the Lo in SoLoMo, the buzz word. Local is not only about location, it's also about your digital track record. Over 70% of Netflix users watch the films recommend. Mining data to understand people's behaviour is getting to be a huge and valuable business. Advertisers see opportunities in getting direct to their target groups. Predictive intelligence is also about where you will be at some time in the future, and where somebody you know will be.
It turns out that Facebook and Google know you better than you think you know yourself. The world is about to get really scary.
Over two billion people signed up for Facebook. This site the most used site for people when using the Internet. People are not watching TV so much anymore - they using Facebook, Youtube and Netflix and number of popular web sites.
Some people denote their time working for others online. What drives people to write an article on Wikipedia? They don´t get paid. Companies are enlisting people to help with innovations and sites such as Galaxy Zoo ask people to help identifying images. And why do people have to film themselves singing when they cannot sing and post the video on Youtube?
In this lecture we talk about how people are using the web to interact in new ways, and doing stuff.
With the computer revolution vast amount of digital data has become available. With the Internet and smart connected product, the data is growing exponentially. It is estimated that every year, more data is generated than all history prior. And this has repeated over several years.
With all this data, it becomes a platform for something new of its own. In this lecture, we look at what big data is and look at several examples of how to use data. There are many well-know algorithms to analyse data, like clustering and machine learning.
After the computing industry got started, a new problem quickly emerged. How do you operate this machines and how to you program them. The development of operating systems was relatively slow compared to the advances in hardware. First system were primitive but slowly got better as demand for computing power increased. The ideas of the Graphical User Interfaces or GUI (Gooey) go back to Doug Engelbarts Demo of the Century. However, this did not have much impact on the computer industry. One company though, Xerox, a photocopy company explored these ideas with Palo Alto Park. Steve Jobs of Apple and Bill Gates of Microsoft took notice and Apple introduced first Apple Lisa and the Macintosh.
In this lecture on we look so lessons for the development of software, and see how our business theories apply.
In this lecture on we look so lessons for the development of algorithms or software, and see how our business theories apply.
In the second part we look at where software is going, namely Artificial Intelligence. Resent developments in AI are causing an AI boom and new AI application are coming all the time. We look at machine learning and deep learning to get an understanding of the current trends.
We are currently living in times of great transformation. We have over the last couple of decade seen the Internet become the most powerful disrupting force in the world, connecting everyone and transforming businesses. Now everyday objects - things we use are getting smart with sensors and software. And they are connecting. What does this mean?
We will see the world become alive. Cars will talk to road sensors that talk to systems that guide traffic. Plants will talk to weather systems that talk to scientists that research climate change. Farming fields will talk to the farming system that talks to robots that do fertilising and harvesting. Home appliances like refrigerators, ovens, coffee machines and microwaves ovens will talk to the home food and cooking system that will inform the store that you are running out butter, cheese, laundry detergent and coffee beans, which will inform the robot driver to get this to your house after consulting your calendar upon when someone is at home.
In this lecture we explore the Internet of Things, IoT.
The Internet grew out of US efforts to build the ARPANET, a network of peer computers built during the cold war. The two major players were military and academia. The network was simple and required no efforts for security or social responsibility. The early Internet community was mainly highly educated and respectable scientist. In the early 1990s the World Wide Web, a hypertext system is introduced, and soon browsers start to appear, leading the commercialization of Net. New businesses emerge and a technology boom known as the dot-com era.
The network, now over 40, is being stretched. Problems such as spam, viruses, antisocial behaviour, and demands for more content are prompting reinvention of the Net and threatening its neutrality. Add to this government efforts to regulate and limit the network.
In this lecture we look at the Internet and the impact of the network. We will also look at the future of the Internet.
The Internet grew out of US efforts to build the ARPANET, a network of peer computers built during the cold war. The two major players were military and academia. The network was simple and required no efforts for security or social responsibility. The early Internet community was mainly highly educated and respectable scientist. In the early 1990s the World Wide Web, a hypertext system is introduced, and soon browsers start to appear, leading the commercialisation of Net. New businesses emerge and a technology boom known as the dot-com era.
The network, now over 40, is being stretched. Problems such as spam, viruses, antisocial behaviour, and demands for more content are prompting reinvention of the Net and threatening its neutrality. Add to this government efforts to regulate and limit the network.
In this lecture we look at the Internet and the impact of the network. We will also look at the future of the Internet.
Did you know that the term "Computer" once meant a profession? And what did people or computers actually do? They computed mathematical problems. Some problems were tedious and error prone. And it is not surprising that people started to develop machines to aid in the effort. The first mechanical computers were actually created to get rid of errors in human computation. Then came tabulating machines and cash registers. It was not until telephone companies were well established that computing machines became practical.
First computers were huge mainframes, but soon minicomputers like DEC’s PDP started to appear. The transistor was introduced in 1947, but its usefulness was not truly realized until in 1958 when the integrated circuit was invented. This led to the invention of the microprocessor. Intel, in 1971, marketed the 4004 – and the personal computer revolution started. One of the first Personal Computers was MITS’ Altair. This was a simple device and soon others saw the opportunities.
In this lecture we start our coverage of computing and look at some of the early machines and the impact they had.
Software is changing the way traditional business operate. People now have smartphones in their pockets - a supercomputer that is 25,000 times more powerful and the minicomputers of the 1960s. This is changing people's behaviour and how people shop and use services. The organisational structure created in the 20th century cannot survive when new digital solution are being offered. Software is changing the way traditional business operate. People now have smartphones in their pockets - a supercomputer that is 25,000 times more powerful and the minicomputers of the 1960s. This is changing people's behaviour and how people shop and use services. The organisational structure created in the 20th century cannot survive when new digital solution are being offered. The hierarchical structure of these established companies assumes high coordination cost due to human activity. But when the coordination cost drops
The organisational structure that companies in the 20th century established was based on the fact that employees needed to do all the work. The coordination cost was high due to the effort and cost of employees, housing etc. Now we have software that can do this for use and the coordination cost drops to close-to-zero. Another thing is that things become free. Consider Flickr. Anybody can sign up and use the service for free. Only a fraction of the users get pro account and pay. How can Flickr make money on that? It turns out that services like this can.
Many businesses make money by giving things away. How can that possibly work? The music business has suffered severely with digital distribution of content. Should musicians put all their songs on YouTube? What is the future business model for music?
One of the great irony of successful companies is how easily they can fail. New companies are founded to take advantage of some new technology. They become highly successful and but when the technology shifts, something new comes along, they are unable to adapt and fail. This is the innovator’s dilemma.
Then there are companies that manage to survive. For example, Kodak survived two platform shift, only til fail the third. IBM has survived over 100 years. What do successful companies do differently?
History has many examples of great innovators who had difficult time convincing their contemporaries of new technology. Even incumbent and powerful companies regarded new technologies as inferior and dismissed it as "toys". Then when disruptive technologies take off they often are overhyped and can cause bubbles like the Internet bubble of the late 1990s.
In this lecture we look at some examples of disruptive technologies and the impact they had. We look at the The Disruptive Innovation Theory by Harvard Professor Clayton Christensen.
Technology evolves in big waves that we call revolutions. The first revolution was the Industrial revolution that started in Britain in 1771. Since than we have see more revolutions come and how we are in the fifth. These revolutions follow a similar path. First there is an installation period where the new technologies are installed and deployed, creating wealth to those who were are the right place at the right time. This is followed by a frenzy, where financial markets wants to be apart. The there is crash and turning point, followed by synergy, a golden age.
In 1908, a new technological revolution started. It was the Age of Oil and Automobile. The technology trigger was Henry Ford´s new assembly line technique that allowed the manufacturing of standardized, low cost automobile. This created the car industry and other manufacturing companies. This also created demand for gas thus creating the oil industry. During the Roaring Twenties the stock prices rose to new levels, until a crash and the Great Depression. Only after World War II, came a turnaround point followed by a golden age in the post-war boom.
In this lecture we look at a framework for understanding technological revolutions. There revolutions completely change societies and replace the old with new technologies. We will explore how these revolutions take place. We should now be in the golden age phase.
We also look at generations.
In the early days of product development, the technology is inferior and lacking in performance. The focus is very much on the technology itself. The users are enthusiast who like the idea of the product, find use for it, and except the lack of performance. Then as the product becomes more mature, other factors become important, such as price, design, features, portability. The product moves from being a technology to become a consumer item, and even a community.
In this lecture we explore the change from technology focus to consumer focus, and look at why people stand in line overnight to buy the latest gadgets.
In the early days of product development, the technology is inferior and lacking in performance. The focus is very much on the technology itself. The users are enthusiast who like the idea of the product, find use for it, and except the lack of performance. Then as the product becomes more mature, other factors become important, such as price, design, features, portability. The product moves from being a technology to become a consumer item, and even a community.
In this lecture we explore the change from technology focus to consumer focus, and look at why people stand in line overnight to buy the latest gadgets.
When innovators try to envision how people will use their product they often have different ideas on what people want. Products that are of superior technology may fail and inferior succeed, only because the inferior product has some features that people are looking for.
In this lecture we look at how new products or technologies get adopted my markets. We look at the Law of Diffusion of Innovation, which explains how this adoption happens. We also look at what it takes for a new innovation to move from being a visionary idea to a practical product, or crossing the chasm. Finally we explore the hype cycle.
In this lecture we look at how innovation happens. We look at the slow hunch, the liquid network, the hummingbird effect, and serendipity.
"Impact of front-end architecture on development cost", Viktor TurskyiFwdays
I have heard many times that architecture is not important for the front-end. Also, many times I have seen how developers implement features on the front-end just following the standard rules for a framework and think that this is enough to successfully launch the project, and then the project fails. How to prevent this and what approach to choose? I have launched dozens of complex projects and during the talk we will analyze which approaches have worked for me and which have not.
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
Let's dive deeper into the world of ODC! Ricardo Alves (OutSystems) will join us to tell all about the new Data Fabric. After that, Sezen de Bruijn (OutSystems) will get into the details on how to best design a sturdy architecture within ODC.
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
5. 400M daily circulations of all newspapers
800M registered cars
900M total cable/satellite TV subscribers
1.1B of all types of computers (PC, netbooks...)
1.2B total landline phones
1.5B total TV sets
1.7B total unique holders of credit cards
2.1B total unique holders of bank accounts
3.9B total FM radios in use
12. In 2011, there were 48 million
people in the world who have a
mobile phone but do not have
electricity at home
Mobile Phones
provide safety
Cisco,
January
2011
14. Early Systems
The First Cell phone (1973)
Name:
Motorola
Dyna-‐Tac
Size:
9
x
5
x
1.75
inches
Weight:
2.5
pounds
Display:
None
Number
of
Circuit
Boards:
30
Talk
time:
35
minutes
Recharge
Time:
10
hours
Features:
Talk,
listen,
dial
17. Base stations connect to
Mobile Telephone Switching Office
MTSO
SID – System identification
Code
SIM-cards
Cellular Networks
18. Handoff
Calls are automatically moved from
one cell to the next
MTSO controls the switch
Roaming
Connecting from one phone company
to another
Cellular Networks
19. Lessons Learned: Cellular Phones
▪ Mobile phones provide safety
▪ The most common device of all
▪ Mobile phones are not practical until 1980s
due to size of technology – Adjacent
Possible
▪ The invention of the microchip played
crucial role in the development of cell
phones
23. Early systems were in Bahrain, US, Japan and in
the Nordic countries
First international system
was NMT in the Nordic
Frequency Division
Multiple Access - FDMA
1G Analog
24. Q2 When the first mobile phones become
possible, how does the market evolve?
25. NMT in Nordics
AMPS in the US
TACS in UK
C-Nets in West Germany
Radiocom 2000 in France
RTMI/RTMS in Italy
1G Analog
26. Q3 What are the characteristics of the
first mobile phones and who where
the users?
40. Texting
Short Message System allowed 160 letters
Became an accidental killer app –
messages, chat, ring tones
First message sent 03.12.1992:
“Merry Christmas”
41. Lessons Learned: Cellular Phones
▪ Cars became the first platform for phones
▪ First phones are analog
▪ Multiple standard – each country invents its
own
– Problem with standards (history repeats itself?)
▪ Roaming problems in Europe call for a
standard
▪ Digital standard developed in Europe, G2
▪ US does not have roaming problems and
gets stuck in G1
43. Mobile networks and the Internet start to
converge
1G and 2G are circuit switched – fine for voice
The Internet is packet-switched
3G
44. 3G Packet Switching
IMT – 2000 was a global standard for 3G
mobile communications defined in mid-1990s
Goals:
Available 2000
Data rage 2000 kbps
Frequencies in the 2000 Mhz region
45. 2000s
More
data
128+
Kbps
GPSR,
EDGE,
UMTS,
CDMA
Downloading 3 min. MP3 song:
11 sec. – 1,5 min.
3G Packet Switching
46. More bandwidth, more applications
Email, Images, music, movies, streaming
Based on Code Division
Multiple Access – CDMA
3G Packet Switching
97. Worldwide tablet sales are
predicted to grow by more than
400% over a two-year period,
reaching 81.3 million units in
2012.
Tablets
98.
99. The “mobile web” is just
the web – there is only
one web. It’s just
displayed in multiple of
screen sizes
Source:
The
Next
Big
Thing:
Mobile,
http://www.olafurandri.com/?p=408
100.
101. Apple Watch
Can they do it again?
Is Apple transforming as a company?
Will US based Tech Companies disrupt the century old watch industry?