My keynote at SxSW Interactive on March 9, 2018. I tackle the job of the entrepreneur to redraw the map, and not to accept the idea that technology will put people out of work rather than creating new kinds of prosperity. I try to provide a call to action to throw off the shackles of the old world and to build a new one. So many companies play defense. Cut costs, watch the competition, follow best practices. Great entrepreneurs like Jeff Bezos and Elon Musk play offense. They see the world with fresh eyes, taking off the blinders that keep companies using technology to make slight improvements to existing products and practices, rather than imagining the world as it could be, given the new capabilities that technology has given us.
Yet another version of my book talk, this time at Harvard Business School, on March 28, 2018. This one had fewer slides with less connecting narrative so that I could spend more time interacting with the audience. I think it went pretty well. As usual, the speaker notes contain the narrative that goes with the slides, which are mostly images.
My keynote at the Open Exchange Summit in Nashville on April 18, 2018. I talk about the implications for many different kinds of companies of the fact that increasingly large segments of our economy are being dominated by algorithmically managed network marketplaces.
My talk for TechStars at Techweek Kansas City in October 2018. While this is a talk based on my book WTF?, it is fairly different from many of the others that I've posted here, in that it focuses specifically on parts of the book that contain advice for entrepreneurs, rather than on the broader questions of technology and the economy. As always, look at the speaker notes for
My plenary talk to the California Workforce Association Conference in Monterey, CA, on September 5, 2018. I talked about the role of technology to augment people rather than replace them from my book WTF? What's the Future and Why It's Up to Us, and my ideas about AI and distributional economics, in the context of today's education and workforce development systems. I also summarize some of the work Code for America has been doing on the current state of the California Workforce Development ecosystem.
My keynote at the 2018 New Profit Gathering of Leaders conference in Boston on May 17, 2018. I talk about the lessons from technology platforms, how they teach us what is wrong with our economy, and the possibilities of AI for creating better, fairer, more effective decisions about "who gets what and why" in the economy.
Google handles over 3 billion searches a day, Amazon offers a storefront with 600 million unique items, Facebook users post 6 billion pieces of content sailing, all with the aid of complex algorithmic systems that respond to a constant influx of new data, adversarial activity by those trying to game the system, and changing preferences of users. These systems represent breakthroughs in the governance of complex, interacting systems, with algorithms that must be constantly updated to respond to rapidly changing conditions. The economy as a whole is also full of complex, interacting systems, but we still try to manage those systems with 20th century tools and processes. This talk explores what we can learn from technology platforms about new approaches that the Fed might take to improve its historical mission using the tools of agile development, big data, and artificial intelligence. My talk at the San Francisco Federal Reserve Bank FedAgile conference on November 7, 2018. Download the PPT file to read the narrative in the speaker notes. (I wish slideshare did a better job of displaying these, but they don't.)
Towards a New Distributional EconomicsTim O'Reilly
A talk I gave on December 1, 2017 for a workshop on AI and the future of the economy organized by the OECD and the Berkeley Roundtable on the International Economy. In it, I explore implications of AI and internet-scale platforms for the design of markets, with the goal of starting a conversation about what we might call "distributional economics."
My keynote at OSCON 2018 in Portland. What I love about open source software, and what that teaches us about how we can have a better future by the better design of online marketplaces and the algorithms that manage them - and our entire economy. The narrative is in the speaker notes.
Yet another version of my book talk, this time at Harvard Business School, on March 28, 2018. This one had fewer slides with less connecting narrative so that I could spend more time interacting with the audience. I think it went pretty well. As usual, the speaker notes contain the narrative that goes with the slides, which are mostly images.
My keynote at the Open Exchange Summit in Nashville on April 18, 2018. I talk about the implications for many different kinds of companies of the fact that increasingly large segments of our economy are being dominated by algorithmically managed network marketplaces.
My talk for TechStars at Techweek Kansas City in October 2018. While this is a talk based on my book WTF?, it is fairly different from many of the others that I've posted here, in that it focuses specifically on parts of the book that contain advice for entrepreneurs, rather than on the broader questions of technology and the economy. As always, look at the speaker notes for
My plenary talk to the California Workforce Association Conference in Monterey, CA, on September 5, 2018. I talked about the role of technology to augment people rather than replace them from my book WTF? What's the Future and Why It's Up to Us, and my ideas about AI and distributional economics, in the context of today's education and workforce development systems. I also summarize some of the work Code for America has been doing on the current state of the California Workforce Development ecosystem.
My keynote at the 2018 New Profit Gathering of Leaders conference in Boston on May 17, 2018. I talk about the lessons from technology platforms, how they teach us what is wrong with our economy, and the possibilities of AI for creating better, fairer, more effective decisions about "who gets what and why" in the economy.
Google handles over 3 billion searches a day, Amazon offers a storefront with 600 million unique items, Facebook users post 6 billion pieces of content sailing, all with the aid of complex algorithmic systems that respond to a constant influx of new data, adversarial activity by those trying to game the system, and changing preferences of users. These systems represent breakthroughs in the governance of complex, interacting systems, with algorithms that must be constantly updated to respond to rapidly changing conditions. The economy as a whole is also full of complex, interacting systems, but we still try to manage those systems with 20th century tools and processes. This talk explores what we can learn from technology platforms about new approaches that the Fed might take to improve its historical mission using the tools of agile development, big data, and artificial intelligence. My talk at the San Francisco Federal Reserve Bank FedAgile conference on November 7, 2018. Download the PPT file to read the narrative in the speaker notes. (I wish slideshare did a better job of displaying these, but they don't.)
Towards a New Distributional EconomicsTim O'Reilly
A talk I gave on December 1, 2017 for a workshop on AI and the future of the economy organized by the OECD and the Berkeley Roundtable on the International Economy. In it, I explore implications of AI and internet-scale platforms for the design of markets, with the goal of starting a conversation about what we might call "distributional economics."
My keynote at OSCON 2018 in Portland. What I love about open source software, and what that teaches us about how we can have a better future by the better design of online marketplaces and the algorithms that manage them - and our entire economy. The narrative is in the speaker notes.
We Get What We Ask For: Towards a New Distributional EconomicsTim O'Reilly
My keynote at the Venturebeat Blueprint conference in Reno, NV on March 6, 2018. The bad maps that are holding us back from building a better world. Technology need not eliminate jobs. It could be helping us tackle the world's great problems, and helping design marketplaces that ensure a more equitable distribution of the proceeds from doing so. The narrative that goes with the deck is in the speaker notes. There is also a summary and link to the video at https://venturebeat.com/2018/03/06/tim-oreilly-to-tech-companies-use-a-i-to-do-more-than-cut-costs/
What's Wrong With Silicon Valley's Growth ModelTim O'Reilly
A talk I gave on the oreilly.com live training platform on January 22, 2020, focusing on the way that many Silicon Valley startups are designed to be financial instruments rather than real companies. They are gaming the financial system, much like the CDOs that fueled the 2009 financial crash. I talk about the rise of profitless IPOs, and contrast that with the huge profits of the last wave of Silicon Valley giants. In many ways, it is an extended meditation on Benjamin Graham's famous statement, "In the short term, the market is a voting machine, but in the long term it is a weighing machine."
What's Wrong with the Silicon Valley Growth Model (Extended UCL Lecture)Tim O'Reilly
A three part lecture for the Institute for Innovation and Public Purpose at University College London. I talk about how the Silicon Valley growth model is leading from value creation to rent extraction, then about how public policy shapes our markets and what public policy students can learn from technology platforms (both what they do right and how they go wrong), and finally, I touch on some of the great mission-driven goals that could replace "increasing corporate profits" as the guiding objective of our economy.
WTF - Why the Future Is Up to Us - pptx versionTim O'Reilly
This is the talk I gave January 12, 2017 at the G20/OECD Conference on the Digital Future in Berlin. I talk about fitness landscapes as applied to technology and business, the role of unchecked financialization in the state of our politics and economy, and why technology really wants to create jobs, not destroy them. (There is a separate PDF version, but some readers said the notes were too fuzzy to read.)
A brochure-style presentation to introduce the big picture vision for R7 Partners, a venture capital firm that finds, funds, and builds early-stage startups with ambitious innovation.
People are slowly beginning to realize that the times, they are a-changing. When it comes to the future of work and automation, it’s not a question of how, but when. We usually only react when it’s already too late. But this time, the writings on the wall are too overwhelming to just ignore them.
Now don’t get me wrong. I’m not saying that you should stock up on guns, build a shelter and prepare for Skynet. But it’s probably a good idea to at least start considering the idea that things might change faster than you think. And in the end, we would hate to say we told you so. So start preparing right now with these 6 crucial tips to survive the second machine age.
Government For The People, By The People, In the 21st CenturyTim O'Reilly
My joint keynote with Jennifer Pahlka of Code for America at the Accela Engage conference in San Diego on August 5, 2014. We talk about current advances in technology, and how they call for anyone developing services to put their users at the center. In particular, we talk about how these lessons apply to government. Making government work by the people and for the people in a 21st century way is central to restoring faith in government.
My talk at the Stanford Technology Ventures Program on March 6, 2013. I talk about some technical and business lessons from Square, Uber, AirBnB, and the Google Autonomous Vehicle that are applicable to today's startups.
My talk at the White House Frontiers Conference at CMU on October 13, 2016. I was one of the warmup acts for the President, talking about why we should embrace an AI future. Full text can be seen here
My talk to the joint OECD/G20 German Presidency conference on digitalization in Berlin on January 12, 2017. Fitness landscapes as applied to technology, business, and the economy. Note that the fitness landscape slides will not be animated in this PDF, which I shared this way so that you could see my narrative in the speaker notes. While it has some slides in common with my White House Frontiers conference talk, it includes a bunch of other material.
We forget that when technology destroy, it helps us to create new ones, as long as we remember that the point isn't just cost-reduction, but doing things that were previously impossible! That means both solving hard problems, and pairing technology with people in ways that play to the strengths of each. My keynote at Strata+Hadoop World London, May 2017.
World Government Summit on Open SourceTim O'Reilly
PDF of slides and notes from my keynote at Acquia's World Government Summit on Open Source in Washington DC October 11, 2012. I talk about how open source enabled the internet as a platform, and how it can enable government as a platform. I talk about examples from the internet and from Code for America's work with cities. I crib shamelessly from some of Jen Pahlka's talks about Code for America, and some of the lessons that can be taken from her work.
I talk about the evolution of digital content into services, the role of sensors in the future of the web, about the idea of man-machine collaboration in internet services, and about the role of social networking in building content.
Reinventing Healthcare to Serve People, Not InstitutionsTim O'Reilly
My talk at South by Southwest on March 16, 2015. I use examples from consumer technology (the Apple Store, Uber/Lyft, and Google Now) to show where "the bar" is now for user experience, and what that should teach us about how to redesign healthcare. I also talk about the work of Code for America to debug the UX for CalFresh and MediCal.
Open Data: From the Information Age to the Action Age (PDF with notes)Tim O'Reilly
This is the presentation I made at the UK Department for International Aid/Omidyar Network OpenUp! conference in London on November 13, 2012. I talk about open government not as a platform for transparency or citizen engagement, but for a developer ecosystem building useful services. A video of this talk is available at http://www.youtube.com/watch?feature=player_embedded&v=OIlxdpfu71o
The Clothesline Paradox and the Sharing Economy (pdf with notes)Tim O'Reilly
My keynote at OSCON 2012 in Portland, July 18, 2012. Focuses on the contribution of open source software to the economy, using the metaphor of "the clothesline paradox" first articulated by Steve Baer in CoEvolution Quarterly in 1975
Becoming an exponential organization in an Age of DisruptionRob van Alphen
Any company designed for success in the 20th century is doomed to failure in the 21st.
It used to take 20 years to make a billion-dollar company – Slack took 8 months. An Exponential Organization (ExO) is one whose impact is at least 10X larger compared to its peers because of the use of new organizational techniques that leverage emerging technologies. Let's take a look at the key attributes of a 10X company and the steps to retrofit your organization for exponential growth.
https://schoolofdisruption.com
A somewhat longer version of my Frontiers talk about technology and the future of the economy, with additional material pitched to an audience of Internet operators at Apricot 2017, in Ho Chi Minh City, Vietnam on February 27, 2017
We Get What We Ask For: Towards a New Distributional EconomicsTim O'Reilly
My keynote at the Venturebeat Blueprint conference in Reno, NV on March 6, 2018. The bad maps that are holding us back from building a better world. Technology need not eliminate jobs. It could be helping us tackle the world's great problems, and helping design marketplaces that ensure a more equitable distribution of the proceeds from doing so. The narrative that goes with the deck is in the speaker notes. There is also a summary and link to the video at https://venturebeat.com/2018/03/06/tim-oreilly-to-tech-companies-use-a-i-to-do-more-than-cut-costs/
What's Wrong With Silicon Valley's Growth ModelTim O'Reilly
A talk I gave on the oreilly.com live training platform on January 22, 2020, focusing on the way that many Silicon Valley startups are designed to be financial instruments rather than real companies. They are gaming the financial system, much like the CDOs that fueled the 2009 financial crash. I talk about the rise of profitless IPOs, and contrast that with the huge profits of the last wave of Silicon Valley giants. In many ways, it is an extended meditation on Benjamin Graham's famous statement, "In the short term, the market is a voting machine, but in the long term it is a weighing machine."
What's Wrong with the Silicon Valley Growth Model (Extended UCL Lecture)Tim O'Reilly
A three part lecture for the Institute for Innovation and Public Purpose at University College London. I talk about how the Silicon Valley growth model is leading from value creation to rent extraction, then about how public policy shapes our markets and what public policy students can learn from technology platforms (both what they do right and how they go wrong), and finally, I touch on some of the great mission-driven goals that could replace "increasing corporate profits" as the guiding objective of our economy.
WTF - Why the Future Is Up to Us - pptx versionTim O'Reilly
This is the talk I gave January 12, 2017 at the G20/OECD Conference on the Digital Future in Berlin. I talk about fitness landscapes as applied to technology and business, the role of unchecked financialization in the state of our politics and economy, and why technology really wants to create jobs, not destroy them. (There is a separate PDF version, but some readers said the notes were too fuzzy to read.)
A brochure-style presentation to introduce the big picture vision for R7 Partners, a venture capital firm that finds, funds, and builds early-stage startups with ambitious innovation.
People are slowly beginning to realize that the times, they are a-changing. When it comes to the future of work and automation, it’s not a question of how, but when. We usually only react when it’s already too late. But this time, the writings on the wall are too overwhelming to just ignore them.
Now don’t get me wrong. I’m not saying that you should stock up on guns, build a shelter and prepare for Skynet. But it’s probably a good idea to at least start considering the idea that things might change faster than you think. And in the end, we would hate to say we told you so. So start preparing right now with these 6 crucial tips to survive the second machine age.
Government For The People, By The People, In the 21st CenturyTim O'Reilly
My joint keynote with Jennifer Pahlka of Code for America at the Accela Engage conference in San Diego on August 5, 2014. We talk about current advances in technology, and how they call for anyone developing services to put their users at the center. In particular, we talk about how these lessons apply to government. Making government work by the people and for the people in a 21st century way is central to restoring faith in government.
My talk at the Stanford Technology Ventures Program on March 6, 2013. I talk about some technical and business lessons from Square, Uber, AirBnB, and the Google Autonomous Vehicle that are applicable to today's startups.
My talk at the White House Frontiers Conference at CMU on October 13, 2016. I was one of the warmup acts for the President, talking about why we should embrace an AI future. Full text can be seen here
My talk to the joint OECD/G20 German Presidency conference on digitalization in Berlin on January 12, 2017. Fitness landscapes as applied to technology, business, and the economy. Note that the fitness landscape slides will not be animated in this PDF, which I shared this way so that you could see my narrative in the speaker notes. While it has some slides in common with my White House Frontiers conference talk, it includes a bunch of other material.
We forget that when technology destroy, it helps us to create new ones, as long as we remember that the point isn't just cost-reduction, but doing things that were previously impossible! That means both solving hard problems, and pairing technology with people in ways that play to the strengths of each. My keynote at Strata+Hadoop World London, May 2017.
World Government Summit on Open SourceTim O'Reilly
PDF of slides and notes from my keynote at Acquia's World Government Summit on Open Source in Washington DC October 11, 2012. I talk about how open source enabled the internet as a platform, and how it can enable government as a platform. I talk about examples from the internet and from Code for America's work with cities. I crib shamelessly from some of Jen Pahlka's talks about Code for America, and some of the lessons that can be taken from her work.
I talk about the evolution of digital content into services, the role of sensors in the future of the web, about the idea of man-machine collaboration in internet services, and about the role of social networking in building content.
Reinventing Healthcare to Serve People, Not InstitutionsTim O'Reilly
My talk at South by Southwest on March 16, 2015. I use examples from consumer technology (the Apple Store, Uber/Lyft, and Google Now) to show where "the bar" is now for user experience, and what that should teach us about how to redesign healthcare. I also talk about the work of Code for America to debug the UX for CalFresh and MediCal.
Open Data: From the Information Age to the Action Age (PDF with notes)Tim O'Reilly
This is the presentation I made at the UK Department for International Aid/Omidyar Network OpenUp! conference in London on November 13, 2012. I talk about open government not as a platform for transparency or citizen engagement, but for a developer ecosystem building useful services. A video of this talk is available at http://www.youtube.com/watch?feature=player_embedded&v=OIlxdpfu71o
The Clothesline Paradox and the Sharing Economy (pdf with notes)Tim O'Reilly
My keynote at OSCON 2012 in Portland, July 18, 2012. Focuses on the contribution of open source software to the economy, using the metaphor of "the clothesline paradox" first articulated by Steve Baer in CoEvolution Quarterly in 1975
Becoming an exponential organization in an Age of DisruptionRob van Alphen
Any company designed for success in the 20th century is doomed to failure in the 21st.
It used to take 20 years to make a billion-dollar company – Slack took 8 months. An Exponential Organization (ExO) is one whose impact is at least 10X larger compared to its peers because of the use of new organizational techniques that leverage emerging technologies. Let's take a look at the key attributes of a 10X company and the steps to retrofit your organization for exponential growth.
https://schoolofdisruption.com
A somewhat longer version of my Frontiers talk about technology and the future of the economy, with additional material pitched to an audience of Internet operators at Apricot 2017, in Ho Chi Minh City, Vietnam on February 27, 2017
The Second Machine Age - an industrial revolution powered by digital technolo...Ben Gilchriest
There have been two big turning points in human history. The first was the industrial revolution, where machines replaced muscle power. The Second Machine Age is the time when machines are now able to take over a lot of cognitive tasks that humans can do. In this Capgemini interview with Erik Brynjolfsson and Andrew McAfee, authors of the recent book "The Second Machine Age" (www.secondmachineage.com), we get a summary view of what the 2nd Machine Age is, what it means for established companies, and how they should react.
I throughly recommend reading this book. It's an excellent summary of the impact and importance of digital and why it's important for companies to do more.
Mastering the demons of our own designTim O'Reilly
My talk about lessons for government from high tech algorithmic systems, given as part of the Harvard Science and Democracy lecture series on April 21, 2021. Download ppt for speaker's notes.
Learning in the Age of Knowledge on DemandTim O'Reilly
The London Black Cab driver's exam, "The Knowledge of the Streets and Monuments of London," is one of the most difficult exams in the world, requiring drivers to become a human GPS. With today's tools, the smartphone and the right app turns anyone into the equivalent of a human GPS. I've been asking myself how this concept applies to the field of online learning, particularly in my own field of programming and related IT skills. How should we rethink learning in the age of knowledge on demand? My keynote at the EdCrunch conference in Moscow on October 1, 2019. As always, download the PPT to read the detailed script in the speaker notes below each slide.
Slides from my talk at the Price Waterhouse Coopers Deals Exchange conference on April 26, 2018. I talk about algorithmically manage, internet-scale networks and how they are changing the very nature of the economy, the shape of companies, and the competencies that are required for 21st century success. There are many similar themes to other talks, but this is tailored to a business audience, and very specifically to one concerned with how to do M&A in an age of dominant platforms.
This is my March 8, 2001 pitch to Jeff Bezos on why Amazon ought to offer web services. I'm uploading it now because I'm referencing it in my forthcoming book, WTF: What's the Future and Why It's Up To Us, due from Harper Business in October 2017, and want people to be able to take a look at it. This is of historical interest only.
Government as a Platform: What We've Learned Since 2008 (ppt)Tim O'Reilly
My talk at the UK Government Digital Service Sprint 15 event in London, February 2, 2015. I talk about my idea of government as a platform, and what I've learned since I first articulated the idea, with specific reference to what the GDS has taught me about the idea.
Government as a Platform: What We've Learned Since 2008 (pdf with notes)Tim O'Reilly
My talk at the UK Government Digital Service Sprint 15 event in London, February 2, 2015. I talk about my idea of government as a platform, and what I've learned since I first articulated the idea, with specific reference to what the GDS has taught me about the idea.
The AIs Are Not Taking Our Jobs...They Are Changing ThemTim O'Reilly
My talk at the Web Summit in Dublin on November 6, 2014. Reflections on the notion that AI will take away jobs, and our need to recognize and redefine the human role in the applications we build. Covers many of the same ideas as my "Internet of Things and Humans" talk, but from a slightly different angle.
My keynote at Velocity New York (#VelocityConf) on September 17, 2014. The failure of healthcare.gov was a textbook DevOps (or rather, lack of DevOps) case study. But it’s part of a wider pattern that reminds us that people should be at the heart of everything we build. In fact, getting the “people” part right is the key both to DevOps and great user experience design. It runs from the Internet of Things right through building government services that really work for citizens.
Software Above the Level of a Single DeviceTim O'Reilly
My talk at the O'Reilly Solid Conference on May 22, 2014. I mostly talk about UI implications of the Internet of Things, but also about the need for interoperability.
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.
Search and Society: Reimagining Information Access for Radical FuturesBhaskar Mitra
The field of Information retrieval (IR) is currently undergoing a transformative shift, at least partly due to the emerging applications of generative AI to information access. In this talk, we will deliberate on the sociotechnical implications of generative AI for information access. We will argue that there is both a critical necessity and an exciting opportunity for the IR community to re-center our research agendas on societal needs while dismantling the artificial separation between the work on fairness, accountability, transparency, and ethics in IR and the rest of IR research. Instead of adopting a reactionary strategy of trying to mitigate potential social harms from emerging technologies, the community should aim to proactively set the research agenda for the kinds of systems we should build inspired by diverse explicitly stated sociotechnical imaginaries. The sociotechnical imaginaries that underpin the design and development of information access technologies needs to be explicitly articulated, and we need to develop theories of change in context of these diverse perspectives. Our guiding future imaginaries must be informed by other academic fields, such as democratic theory and critical theory, and should be co-developed with social science scholars, legal scholars, civil rights and social justice activists, and artists, among others.
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.
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.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
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
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
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
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™:
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FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf
Do More. Do things that were previously impossible!
1. Do More.
Do Things That Were Previously Impossible!
Tim O’Reilly
@timoreilly
oreilly.com
wtfeconomy.com
SxSW
March 9, 2018
2. Will there really be nothing left for people to do?
Is there really
nothing left for
humans to do?
3.
4. Dealing with climate change
Rebuilding our infrastructure
Feeding the world
Ending disease
Resettling refugees
Caring for each other
Educating the next generation
Enjoying the fruits of shared prosperity
15. Amazon ran this same play
in cloud computing
Radically lower prices
Create demand for something that didn’t really exist yet
Open up Amazon’s platform so others provide more services
Create more demand
17. Michael Mandel on ecommerce vs retail
Since 2007, hours worked by production and nonsupervisory employees in the digital
sector have risen by 8.5 percent compared to a 3.4 percent increase in the physical
sector.
The ecommerce sector is adding jobs much faster than the general retail sector is losing
them.
The ecommerce sector added 355,000 jobs from 2007 to 2016—more than enough to
compensate for the 51,000 jobs lost in the general retail sector.
Wage and salary payments to ecommerce workers have increased by almost $18 billion
since 2007, in 2016 dollars. By comparison, real wage and salary payments to workers in
general retail have risen by less than $1 billion over the same period.
http://www.progressivepolicy.org/wp-content/uploads/2017/03/Tech-middle-class-3-9-17b.pdf
21. It is not just technology innovation, but the diffusion
of knowledge through society about how to use new
technology that makes a difference in making us all
richer.
22. Eventually, there were dozens of specialized
machines, and complicated workflows.
But that wasn’t all. In addition to inventing new
machines, people had to learn to use them, fix
them, improve them.
Systems were needed for distributing and selling
the wealth of new products.
An educated, prepared workforce is an
ecosystem.
26. “In order to fully reap the benefits of a changing economy—
and sustain growth over the long-term—businesses will need
to increase the earnings potential of the workers who drive
returns, helping the employee who once operated a machine
learn to program it. They must improve their capacity for
internal training and education to compete for talent in
today’s economy and fulfill their responsibilities to their
employees.”
Larry Fink,
CEO, Blackrock
27. Values Alert: Structural Changes In the Economy
“In the 35 years between
their jobs as janitors,
corporations across
America have flocked to a
new management theory:
Focus on core competence
and outsource the rest.”
29. Our digital systems enhance our capabilities with software
and data the way our physical systems use heavy equipment
Users post 7 billion pieces of content
to Facebook a day.
Expecting human fact checkers to
catch fake news is like asking workers
to build a modern city with only picks
and shovels.
At internet scale, we now rely
increasingly on algorithmic systems to
manage what we see and believe.
30. “I’ve just invested in an AI startup that will put 30% of call
center workers out of a job.”
(A VC who shall remain nameless)
32. This is what technology wants
“Prosperity in human societies is best
understood as the accumulation of
solutions to human problems. We won’t
run out of work until we run out of
problems.”
Nick Hanauer
36. 2. In 2018, we still believe that it’s acceptable for
companies to maximize their profits, regardless
of the social, environmental and human
consequences
38. What the great technology platforms
teach us about the economy and the
future of work
wtfeconomy.com
39. Fitness Landscapes
The way in which genes contribute
to the survival of an organism can
be viewed as a landscape of peaks
and valleys.
Through a series of experiments,
organisms evolve towards fitness
peaks, adapted to a particular
environment, or they die out.
Image source: http://evolution.berkeley.edu/evolibrary/article/side_0_0/complexnovelties_02
40. Fitness landscapes are dynamic
When conditions are stable, a
population chooses one fitness
peak and stays there.
But when conditions change,
populations must migrate to a
new fitness peak.
41. Local Maxima
Once you are on a peak, it’s
hard to get to another one,
even if it’s higher. You have
to go back down. It may be
easier to get to the top if you
are already starting from a
valley floor.
42. Technology also has a fitness landscape
In my career, I’ve watched a
number of migrations to new
peaks, and I’d like to share with
you some observations about
what happened, and why. And
then we’ll talk about some
lessons for companies like
Google, but also for the overall
economy.
Personal
Computer
Big Data
and
AI
Smartphones
Apple
44. This happens in politics as well
Voters are moving away from
the fitness peak of the
neoliberal consensus. We don’t
know yet where that new
fitness peak will be, but the
migration is telling us loud and
clear that the economy needs
some fresh thinking.
45.
46. Yes, things are changing.
But one thing doesn’t
change.
A successful ecosystem
creates opportunity for
everyone, not just a few.
47. “Society is demanding that companies, both
public and private, serve a social purpose. To
prosper over time, every company must not
only deliver financial performance, but also
show how it makes a positive contribution to
society. Companies must benefit all of their
stakeholders, including shareholders,
employees, customers, and the communities
in which they operate.”
Larry Fink,
CEO of Blackrock
50. Climate change has
been a classic driver
for the change in
fitness landscapes,
for organisms and for
civilizations.
51. 3. In 2018, too many people still believe
that technology is a magic bullet
fired from the same old gun
52. Death Star Thinking
“What’s the lesson too many people take from that first and
most influential episode in the franchise back in 1977? One
incredibly well-placed shot into the thermal exhaust port and
the entire apparatus of our oppression explodes spectacularly.
All we really needed were the plans to the Death Star and a
very talented fighter pilot guided by the truth (“the Force”.)
Never mind that there are countless Death Stars ahead of us
as the Imperial war (and the franchise) continues. That one
glorious victory and the release it provided became the implicit
theory of change.”
Jennifer Pahlka,
Death Star Thinking and Government Reform
Jennifer Pahlka
54. “A business model is the way that
all of the parts of a business work
together to create competitive
advantage and customer value.”
- Dan and Meredith Beam
55. A Business Model Map of Southwest Airlines
Low ticket prices
Short-haul,
point to point routes
No seat assignments
No baggage forwarding
Lean gate and ground crews
Highly paid employees
Flexible union contracts
High level of employee
stock ownership
56. A Business Model Map of Uber
A magical app that lets drivers
and passengers find each other
in real time
A networked marketplace of
drivers and passengers
Augmented workers able to join
the market as and when they
wish
Managed by algorithm
59. Gradually, then suddenly
1. We are creating new kinds of
partnerships between machines
and humans
2. Artificial Intelligence and
algorithmic systems are
everywhere
3. The world is becoming infused
with the digital
60. We see the same thing with Uber and Lyft
Oxford Internet Institute study:
50% more total hours worked
Higher wages per hour
https://www.oxfordmartin.ox.ac.uk/downloads/academic/Uber_Drivers_of_Disruption.pdf
68. Symbiogenesis and the origin of eukaryotic cells:
“species form new composite entities by fusion and merger”
“Nearly all extranuclear genes are derived from
bacteria or other sorts of microbes. In the search for
what genes outside the nucleus really are, I became
more and more aware that they're cohabiting entities,
live beings. Live small cells reside inside the larger
cells…. different bacteria form consortia that, under
ecological pressures, associate and undergo
metabolic and genetic change such that their tightly
integrated communities result in individuality at a more
complex level of organization. The case in point is the
origin of nucleated (protoctist, animal, fungal, and
plant) cells from bacteria…. species form new
composite entities by fusion and merger.”
Lynn Margulis
69. Biological symbiosis doesn’t stop there
“All zoology is really ecology. We cannot fully
understand the lives of animals without understanding
our microbes and our symbiosis with them…. When we
look at beetles and elephants, sea urchins and
earthworms, parents and friends, we see individuals,
working their way through life as a bunch of cells in a
single body, driven by a single brain, and operating with
a single genome. This is a pleasant fiction. In fact, we
are legion, each and every one of us. Always a ‘we’
and never a ‘me’.... Heed Walt Whitman: “I am large, I
contain multitudes.”
Ed Yong
70. From genes to memes
“Language doesn’t emerge de novo in each person; it is passed, with little
modification, from generation to generation. We speak the language of our
parents, they spoke the language of their parents, and so on, further and
further back in the past.”
– John Skoyles
71. And you can think of the Internet as the next evolutionary step
72. AI is “the most serious
threat to the survival of
the human race”
Elon Musk
73. The runaway objective function
“Even robots with a seemingly benign
task could indifferently harm us. ‘Let’s
say you create a self-improving A.I. to
pick strawberries,’ Musk said, ‘and it
gets better and better at picking
strawberries and picks more and more
and it is self-improving, so all it really
wants to do is pick strawberries. So
then it would have all the world be
strawberry fields. Strawberry fields
forever.’ No room for human beings.”
Elon Musk, quoted in Vanity Fair
https://www.vanityfair.com/news/2017/03/elon-musk-
billion-dollar-crusade-to-stop-ai-space-x
74.
75.
76. Algorithmic systems have an “objective function”
Uber and Lyft: Passenger pick up time
Google: Relevance
Facebook: Engagement
What is the objective function of our
financial markets?
77. The Equinix NY4 data center,
where trillions of dollars change hands
78. We didn’t mean to increase inequality and gut our economy
“The Social Responsibility of Business Is to
Increase Its Profits”
Milton Friedman, 1970
80. “The art of debugging is
figuring out what you really told
your program to do rather than
what you thought you told it to
do.”
Andrew Singer
Andrew Singer
81. 5. In 2018, we are still trying to revive the old
economy, rather than inventing the future that is
possible now
82. “Economic Possibilities for Our Grandchildren”
The world of his grandchildren—the
world of those of us living today—
would, “for the first time . . . be faced
with [mankind’s] real, his permanent
problem—how to use his freedom
from pressing economic cares, how
to occupy the leisure, which science
and compound interest will have won
for him, to live wisely and agreeably
and well.”
John Maynard Keynes
John Maynard Keynes
85. “If total US household income of $8.495
trillion were shared by America’s 116
million households, each would earn
$73,000, enough for a decent middle-
class life.”
Brian Arthur
86. The fundamental economic question
is no longer how to incentivize production
but how to incentivize fair distribution
of the fruits of increased productivity
Brian Arthur
91. Tim O’Reilly
Founder & CEO, O’Reilly Media
Partner, O’Reilly AlphaTech Ventures
Board member, Code for America
Co-founder, Maker Media
@timoreilly
• O’Reilly AI Conference
• Strata: The Business of Data
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• Maker Faire
• Foo Camp
• …
• 40,000+ ebooks
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of video training
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• A platform for knowledge
exchange
• Commercial internet
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• AI and The Next Economy