The document discusses the cloud infrastructure of the 3D printing industry. It outlines how 3D printers can benefit from third-party content and apps in the cloud in the same way smartphones and their app stores drove adoption. The document also examines the structures of open versus closed cloud systems and why both content creators and end users would want cloud connectivity for 3D printers.
Philipp Nagele (Wikitude): Going Beyond ARKit and ARCoreAugmentedWorldExpo
A talk from the Developer Track at AWE Europe 2017 - the largest conference for AR+VR in Munich, Germany October 19-20, 2017
Philipp Nagele (Wikitude): Going Beyond ARKit and ARCore
There’s more to AR than world tracking. ARCore and ARKit put augmented reality in the spotlight and it’s now clear why tech giants are heavily betting on this technology. But what’s beyond the demos #madewithARKit all over social media? In this session Wikitude CTO, Philipp Nagele will talk about what ARKit and ARCore are made of and take them beyond the hype by demonstrating how to build a variety of AR experiences.
The presentation "Dark Matter - The Future after Cloud!" was held by Karen Tamrazyan on 13 March 2019 during the "Integrated Plant Engineering Conference" European conference in Nuremberg. This years focus of the conference was on edge analytics. Please find detailed information about the "IPEC 2019" on the following website: https://www.automation-valley.de/aktivitaeten/international/ipec2019/
Video recording of the presentation is available at https://www.youtube.com/watch?v=lQccuMZcDXU
Karen Tamrazyan's blog can be found at https://www.tamrazyan.com/
The edge computing market today includes consumer apps and devices, and the industrial sector, where increasingly powerful CPUs drive everything from wind turbines to autonomous vehicles, robots, drones and equipment. The device market is growing explosively:
These devices gather a wealth of data from a broad array of sensors – and have the potential to optimize efficiency, safety and performance, and revolutionize productivity and user experiences. But to deliver these benefits they need to become truly smart, performing analysis, training and inference on high volumes of sensor data on-the-fly.
There is an urgent need for software that simplifies and automates data analysis and inference at the edge, helping devices and systems learn from and make predictions about their environment: Cameras that recognize and track their targets; self-driving cars that choose the least congested routes using real- time predictions for intersections ahead; and drones that dynamically swarm, find their targets and gather intelligence without human oversight.
These examples require each device to make decisions based on a real-time analysis of its own sensor data fused with the analysis and predictions from other systems: Drones in a swarm need to collaborate or they will collide; they must gossip their insights to each other to enable the swarm to perform effectively. Today, the software to enable each of these complex scenarios must be developed from scratch, starting with raw data feeds and network protocols. To unlock the potential of an edge environment rich in sensors and power-efficient computing platforms developers need a simple way to get from vast amounts of raw data to insights and predictions.
What's needed is a new Architecture for the intelligent edge – one that consumes raw data from devices at the edge, and automatically creates a “digital twin” for each real-world system from its data. Digital twins statefully process their own data at the edge, analyzing, learning and predicting in real-time. Digital twins can find anomalies or correlations in their own data, and self-train powerful neural network models that enable them to predict their future performance, then share semantically enriched insights with other digital twins to solve system problems. The architecture helps application developers by dynamically creating digital twins that learn from their own data – automatically building a model of the real world that is always up to date, executes in real-time, and makes accurate predictions of the behavior of complex systems.
Philipp Nagele (Wikitude): Going Beyond ARKit and ARCoreAugmentedWorldExpo
A talk from the Developer Track at AWE Europe 2017 - the largest conference for AR+VR in Munich, Germany October 19-20, 2017
Philipp Nagele (Wikitude): Going Beyond ARKit and ARCore
There’s more to AR than world tracking. ARCore and ARKit put augmented reality in the spotlight and it’s now clear why tech giants are heavily betting on this technology. But what’s beyond the demos #madewithARKit all over social media? In this session Wikitude CTO, Philipp Nagele will talk about what ARKit and ARCore are made of and take them beyond the hype by demonstrating how to build a variety of AR experiences.
The presentation "Dark Matter - The Future after Cloud!" was held by Karen Tamrazyan on 13 March 2019 during the "Integrated Plant Engineering Conference" European conference in Nuremberg. This years focus of the conference was on edge analytics. Please find detailed information about the "IPEC 2019" on the following website: https://www.automation-valley.de/aktivitaeten/international/ipec2019/
Video recording of the presentation is available at https://www.youtube.com/watch?v=lQccuMZcDXU
Karen Tamrazyan's blog can be found at https://www.tamrazyan.com/
The edge computing market today includes consumer apps and devices, and the industrial sector, where increasingly powerful CPUs drive everything from wind turbines to autonomous vehicles, robots, drones and equipment. The device market is growing explosively:
These devices gather a wealth of data from a broad array of sensors – and have the potential to optimize efficiency, safety and performance, and revolutionize productivity and user experiences. But to deliver these benefits they need to become truly smart, performing analysis, training and inference on high volumes of sensor data on-the-fly.
There is an urgent need for software that simplifies and automates data analysis and inference at the edge, helping devices and systems learn from and make predictions about their environment: Cameras that recognize and track their targets; self-driving cars that choose the least congested routes using real- time predictions for intersections ahead; and drones that dynamically swarm, find their targets and gather intelligence without human oversight.
These examples require each device to make decisions based on a real-time analysis of its own sensor data fused with the analysis and predictions from other systems: Drones in a swarm need to collaborate or they will collide; they must gossip their insights to each other to enable the swarm to perform effectively. Today, the software to enable each of these complex scenarios must be developed from scratch, starting with raw data feeds and network protocols. To unlock the potential of an edge environment rich in sensors and power-efficient computing platforms developers need a simple way to get from vast amounts of raw data to insights and predictions.
What's needed is a new Architecture for the intelligent edge – one that consumes raw data from devices at the edge, and automatically creates a “digital twin” for each real-world system from its data. Digital twins statefully process their own data at the edge, analyzing, learning and predicting in real-time. Digital twins can find anomalies or correlations in their own data, and self-train powerful neural network models that enable them to predict their future performance, then share semantically enriched insights with other digital twins to solve system problems. The architecture helps application developers by dynamically creating digital twins that learn from their own data – automatically building a model of the real world that is always up to date, executes in real-time, and makes accurate predictions of the behavior of complex systems.
Bitcoin: Repenser la monnaie (Bitcoin: rethinking money)FrancisPouliot
Présentation par Francis Pouliot, Directeur des Affaires Publiques de la Fondation Bitcoin Canada, lors du TEDx HEC le 24 mai 2014.
Intitulée "Bitcoin: repenser la monnaie", cette présentation de 18 minutes explique la raison d'être de Bitcoin.
Info: http://www.tedxhecmontreal.com/fr/accueil/
*****
Presentation by Francis Pouliot, Director of Public Affairs at the Bitcoin Foundation Canada
A basic introduction to the bitcoin's architecture and the blockchain that supports the bitcoin network. Intended audience = college students who had no idea about bitcoin, blockchain or the cryptography involved. This is a good place to start with bitcoin if you are just curious about what all the buzz is about.
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Bitcoin: Repenser la monnaie (Bitcoin: rethinking money)FrancisPouliot
Présentation par Francis Pouliot, Directeur des Affaires Publiques de la Fondation Bitcoin Canada, lors du TEDx HEC le 24 mai 2014.
Intitulée "Bitcoin: repenser la monnaie", cette présentation de 18 minutes explique la raison d'être de Bitcoin.
Info: http://www.tedxhecmontreal.com/fr/accueil/
*****
Presentation by Francis Pouliot, Director of Public Affairs at the Bitcoin Foundation Canada
A basic introduction to the bitcoin's architecture and the blockchain that supports the bitcoin network. Intended audience = college students who had no idea about bitcoin, blockchain or the cryptography involved. This is a good place to start with bitcoin if you are just curious about what all the buzz is about.
JOIN HERE: ---- http://ethclix.com ---- Coinomia Review
COINOMIA INTRODUCTION ---- http://bit.ly/coinomia1
COINOMIA Review is an application for mining in cryptocurrencies with any of the available gadgets, a user have. Designed to cater both new miners and power users, Coinomia requires no configuration at any device. The power allotment can be managed from anywhere and can be distributed among various cryptocurrencies.
They are mining since early 2014, even before Ethereum was live! They have centres across the world and They have invested in latest ASIC chips and mining equipments. There data centres are managed properly, energy efficient and they have ensured the security and maintenance with advance tools and technology. They also provide softwares to users who have an urge to mine at their own!
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3D printing, also known as additive printing technology, allows manufacturers to develop objects using a digital file and variety of printing materials.
It is a group of technologies that build 3D objects by adding layer-upon-layer of materials where the material may be plastic, metal, concrete even in future it may be human tissues also.
By group of technologies we mean 3D Printing, Rapid Prototyping (RP), Direct Digital Manufacturing (DDM), layered manufacturing and additive fabrication here.
Technology Introduction Series brings to you tutorials from experts and organisations across the Telecom Industry.
In this video, Jim Morrish, Founding Partner of Transforma Insights provides a tutorial on Edge Computing. Transforma Insights is a leading research firm focused on the world of Digital Transformation (DX).
In this presentation, Jim covers the following topics:
Definitions of Edge Computing.
How and why Edge Computing is used.
Planning for deployment of Edge Computing.
Forecasts for Edge Computing.
All our #3G4G5G slides, videos, blogs and tutorials are available at:
Videos: https://www.youtube.com/3G4G5G
Slides: https://www.slideshare.net/3G4GLtd
6G and Beyond-5G Page: https://www.3g4g.co.uk/6G/
Free Training Videos: https://www.3g4g.co.uk/Training/
3G4G Website – https://www.3g4g.co.uk/
3G4G Blog – https://blog.3g4g.co.uk/
Telecoms Infrastructure Blog – https://www.telecomsinfrastructure.com/
Operator Watch Blog – https://www.operatorwatch.com/
Connectivity Technology Blog – https://www.connectivity.technology/
Free 5G Training – https://www.free5gtraining.com/
Free 6G Training – https://www.free6gtraining.com/
From Embedded to IoT and From Cloud to Edge & AIoT -- A computer technology t...William Liang
In this talk, we will review the evolution of the computer technologies after the PC Era, including embedded systems, smart devices and smartphones, cloud computing, IoT, AI, and then AIoT & Edge Computing that are happening today, and discuss how the trends were developed.
The Future of Fog Computing and IoT: Revolutionizing Data ProcessingFredReynolds2
Sending a business e-mail, watching a YouTube video, making an online video call meeting, or playing a video game online requires considerable data flow. It necessitates such massive data flow in the direction of servers in data centers. Cloud computing prefers remote data processing and substantial storage systems to develop online apps we use daily. But we must know that other decentralized cloud computing systems exist. Fog computing technology is growing wildly in popularity. As per fog technology experts, the global fog technology market will reach nearly $2.3 billion at the end of 2032. The market for fog technology was $196.7 million at the end of 2022.
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.
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.
Generating a custom Ruby SDK for your web service or Rails API using Smithyg2nightmarescribd
Have you ever wanted a Ruby client API to communicate with your web service? Smithy is a protocol-agnostic language for defining services and SDKs. Smithy Ruby is an implementation of Smithy that generates a Ruby SDK using a Smithy model. In this talk, we will explore Smithy and Smithy Ruby to learn how to generate custom feature-rich SDKs that can communicate with any web service, such as a Rails JSON API.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
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.
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
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.
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
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.
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
Connector Corner: Automate dynamic content and events by pushing a button
Cloud infrastructure of 3 d printing
1. The Cloud Infrastructure of
the 3D Printing Industry
Drew Taylor
Founder/CEO AstroPrint
Drew.Taylor@AstroPrint.com
@AstroPrint3D facebook.com/AstroPrint
29. The Cloud Infrastructure of
the 3D Printing Industry
Drew Taylor
Founder/CEO AstroPrint
Drew.Taylor@AstroPrint.com
@AstroPrint3D facebook.com/AstroPrint
Editor's Notes
-Intro
- Hi, I’m Drew Taylor, most of you probably know me as a founder and the CEO of AstroPrint.
- For those of you that are not familiar with AstroPrint, I’ll give you a brief overview so you understand why I’m talking on this subject today.
- synopsis – we make software that runs on 3D printers, making them incredibly simple to use. In addition, we have a cloud based 3D printing app store that lets brands and developers distribute content/application directly to 3D printers and the printer owners.
- There’s a motto that we use at AstroPrint that I would like for you to think about as I go through this talk…
It’s “Simplicity + Content = Value (n)” whereas n= everyone. printer manufacturers, large content IP holders, and end users.
- We believe that when 3D printers are made incredibly simple to operate, and are connected to the content that businesses and consumers wish to print, then and only then can massive adoption take place.
- Today I want to talk about how the Cloud empowers simplicity and content distribution for the entire industry, including consumer, medical, and industrial 3D printing.
In this talk today, the bulk of what I’m going to talk about is the lessons we can learn from parallel industries such as 2D printing and the smartphone industry and how these lessons can help us predict how the 3DP industry will unfold and even accelerate that unfolding.
Next I’ll go over the primary benefits of using a cloud based 3D printing system over traditional systems. Then we’ll journey through a number of use cases in consumer, industrial, and medical cloud 3DP applications.
Lastly I’ll discuss the structures of cloud 3DP platforms along with benefits and drawbacks of each.
So, let’s go ahead and get started with parallel industries, with 2D printing first.
- I’m sure everyone in the room has had a conversation at some point in time about the similarities and differences between 2D printers and 3D printers. Personally, I wish 3D printing was not the dominant term today due to the public perception that a 3D printer is similar in use to a 2D printer.
There are some core differences that drive the need for a cloud in the 3D printing industry that did not exist in the 2D printing industry.
2D printers evolved pre-internet.
- Offline drivers, cords, and manual install and upgrades made perfect sense then.
- who remembers installing a whole software suite everytime you wanted to print from a different computer? Then if a driver were updated you would have to go find it, download it, and install it. It was a terrible cumbersome process, but made sense at the time.
Well, times have changed!
We are now in the age of IoT! The internet of things is being constructed as we speak.
Now, the public expects connectivity. If a piece of machinery is sophisticated, it’s expected that you can interact with it via phone, tablet, and the internet. For Christ’s sake, I can interact with my Coffee Maker through my phone, but I can’t connect to a 3D printer without downloading software to a dedicated computer and keeping it tethered to that machine 24/7? That makes no sense.
So, since the early 90’s, hairstyles have evolved, movies have evolved, but have 3D printing software strategies evolved? I do feel that in the last few years that have started to catch up to the hardware innovation, but only in the last few years.
So, this is obviously photo-shopped, but I feel it exemplifies the status of the industry. Much of the 3D printing software out there follows the same strategies that were used when this computer was popular.
BTW, that software program is pronterface and is still shipped with some 3D printers. People get that as the default way to interact with their hardware! And the users are incredibly disappointed.
For mass adoption, even in the industrial and medical spaces, the software has to be more intuitive and user friendly than this. I don’t know if you know this, but engineers are notorious for developing the worst interfaces…
Another difference between 2D and 3D printers is that 2D printers do not gain value from 3rd party content.
So, what do you use a 2D printer for? Mostly I use a 2D printer nowadays whenever I need to print a legal document that can’t be e-signed, and that’s about it… At no point do I ever print 3rd party content. There is no value to Disney producing content you would purchase for a 2D printer.
- 3D printers are completely different in this respect. There is extreme value in being able to 3D print content produced by a 3rd party. This could be printing Disney characters, tumors for medical testing, or even plane parts developed by a design house for an end client
. Again, this could be printing content from design repositories, or custom developed content by 3rd parties. As a matter of fact, for many printer owners the sole value of the machine is that it can print items produced by others. A quote we’ve heard over and over from printer manufacturers is that “Content Sells the Printer.”
This means that unlike 2D printers, a 3D printer that is connected directly to content holds more value than one that is not.
How do you connect that printer to content, you ask? Well, the old way is to add some libraries of what you think they want to print into your offline software. However, the way users expect to interact now is via the cloud! You connect that 3D printer to a platform that opens up the machine to 3rd party content, which is then figuratively limitless.
So we’ve now postulated that connecting 3DPs to the cloud will add value to the machines, but can we prove it? By looking at smarphones as a parallel technology, we can prove it.
It might seem unusual to compare the smartphone industry to the 3D printing industry, but if you look at what really catalyzed smartphone adoption, you’ll see that they are incredibly similar.
- There is a trinity of things that came together to spur massive smartphone adoption.
- Optimized hardware (Samsung and Apple)
- Samsung, Apple, and others made these devices incredibly intelligent and fast, opening the rest of the industry up for innovation.
- Simple to use software (OS). (Android and iOS)
- Do you remember what you went through to change a ringtone on an old not-so-smart phone?
- App Stores -
However, the biggest catalyst to the adoption of the smartphone was the 3rd party Content repository. (Apple App Store and Google Play)
- The idea here is that Content sells the phone! Why in the world would you buy a smartphone, or an iPad for that matter, if there was no app store? You wouldn’t. An old flip phone would do the same thing, for a cheaper price.
- What creates value for the smartphone is the developer ecosystem that is constantly creating new applications for the devices. And by the way, these new applications are being developed without any cost to the manufacturers.
So, did it work? Did an open content ecosystem increase adoption in the smartphone market. It sure did.
- Annual growth rate for Android phones from 2009 to 2013 was 54%! Software content really did sell the hardware.
- And because content matters in the 3D printing world as well. I postulate that manufacturers that adopt a standard open software ecosystem for their machines will also enjoy a 54% CAGR.
- It’s imperative to notice here that the open ecosystem, Android is has the lion’s share of the market, while the closed ecosystems do not. We’ll come back to this in a bit to talk about why this is the case and what it means for manufacturers.
So, what are the benefits of cloud 3D printing for a printer manufacturer?
Significant reduction in software R&D. They build the firmware, but do not have a need to develop interface, workflow software, file management software, IoT functionality, etc.
Talk about Pirate3D and MakiBox.
- 3rd party innovation/apps.
- As a manufacturer you have to ask yourself, will you make the best applications in the industry? Probably not… Even if you make an amazing proprietary factory management system for your printers, I bet someone else can make one even better than yours…
Direct connection to content.
- A printer connected to content holds more value than a printer not connected to content. If that customer needs to print items from McMaster-Carr and they can do so with 1-click on a tablet, phone, or remote computer. They will buy the 3D printer that is cloud connected and can do this. As opposed to buying a dumb 3D printer that requires direct control and multiple steps to initiate a proper print.
Already hold major IP portfolios – unlocks new distribution channels.
DRM, security.
Digital distribution network is established/controled. Basically, they do not need to optimize for different printers, they just produce content. They do not have to build out a distribution network. Can you imagine if Blizzard had to create a different app for every phone model on the market? They would not… A common cloud platform allow for standardized content distribution letting these providers create content and let the cloud distribution channel focus on quality control and distribution issues regarding all the printers on the market.
- For end users
- The printers finally live up to the industry hype. 3D printers finally match up with our mottos of Simplicity + Content = Value.
Benefits to the end user have already been discussed in detail.
A cloud gives the end user choices:
- Choice – choice of software stacks and software features. Such as workflow management, slicing engines, and content repositories.
- industrial
- What happens when GE produces a design for a Boeing part and it needs to be 3D printed? Should GE 3D print it in their office then mail it to Boeing, when Boeing has 3D printers on their factory floor? Of course not…
- The cloud enables GE to produce that part and distribute it directly to Boeing printer. They can even control the printer settings remotely, monitor the print, and determine success or failure before invoicing and billing for the part. And this can be done with full security of the file.
- the reason that the cloud is necessary for this is that the expense to build a platform that can do all of this, for nearly every printer on the market, would be astronomical. However, having multiple parties building on a single platform allows the innovation to happen effectively and efficiently.
- For example, a company such as AstroPrint may be handling the cloud infrastructure and wireless connectivity of the system, whereas a vendor like Identify3D may be handing file security and quality control, the printer manufacturer may be collecting data for analytics from every print, and another vendor may be running computer vision real time analytics testing for print failure.
Use case 2: proprietary 3DP slicing engine used for competitors.
- medical
- We have already completed an integration with the NIH that is helping with medical education. The NIH has a design repository of models online, but had a major problem. Their users did not wish to learn how a 3D printer works in order to print these objects. They loved the fact that our system can optimize slicing and wirelessly distribute prints, so we created an integration that allows anyone to find a model on the NIH site, hit print, and have their file prepared for printing and sent wirelessly to their printer, without any technical skills necessary whatsoever, and this can be done right from a phone or tablet.
- The next steps for the medical cloud is to focus on Bioprinting. Of course, we’re a few years away from being able to print kittens in the home, so we’re focused more on Bioprinting research…
- Next steps for the medical 3DP industry is to move advanced machines into the cloud allowing for:
- collaboration between professionals scanning, remodeling, and printing.
- allowing researchers to share, distribute, and print proprietary models.
- consumer
- Consumer use cases abound, but I realize that most people here are focused on industrial and medical use, so I’ll keep it short.
- Everything from using your phone to print Disney characters, to printing supplies for the office from Home Depot designs. The cloud allows this to happen with one click in a seamless user experience.
- Structure of 3DP cloud platforms (7-10 min)
- In discussing the structure of 3D printing cloud platforms, I want to spend my time today discussing open vs closed systems. Keep in mind this is not open source vs closed source, but rather open to multiple manufacturers, or closed to just 1.
- For example, in the consumer space, MakerBot has a closed ecosystem… Their cloud can do amazing things, but it only works on MakerBot printers.
should Stratasys build their own closed cloud that only works on Stratasys printers, and 3D Systems build their own cloud, and Carbon3D their own cloud? Or should they adopt a standard cloud to sync their printers with.
- Well, if we use the computer industry and smartphone industry as analogues, we can speculate that after the dust settles in a software industry battle, many billions of dollars will have been spent, and there will likely only be 2 winners.
- In the computer industry, we have Windows and MacOS that won.
- In the smartphone industry, we have Android and iOS.
- Why are there only 2 platforms?
- There are only 2 platforms because developers only build for the top two platforms in an industry. It is simply not cost effective to make an application for the less dominant platforms, which leads to a two platform system.
- In computers and smartphones, there are two platforms, 1 open and 1 closed. So, which is superior?
- Let’s go back to the gartner slide to see.
- Apple’s iOS platform is made to work only on apple devices, so it’s the closed platform in this scenario.
- Although they apple has significant marketshare, growth is stagnant.
- Android is the open platform in this scenario, since it works on most other smartphone models.
- Obviously it shoots through the roof with adoption.
- It’s important to take a look at the other ‘competitors’ on this list.
- What happened to Symbian, Blackberry, and the Windows phone? They all died or are close to it.
- The take away - end users will tolerate only 1 closed platform. If every printer manufacturer attempts to create their own cloud, only 1 will win. The others will eventually adopt the clear market winner for the open cloud.
- I personally believe that the sooner a manufacturer adopts an open software platform, the sooner they can jump on this adoption curve. To continue the smartphone analogy: As soon as they give up on being Apple, the can get on with being Samsung (or HP) in the industry.
Thanks for coming and feel free to reach out.
Questions…