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.
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.
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.
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."
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.
Do More. Do things that were previously impossible!Tim O'Reilly
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.
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.
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.
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.
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."
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.
Do More. Do things that were previously impossible!Tim O'Reilly
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.
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.
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.
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.
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.)
This is the pdf (with notes) of my slide deck from the Smart Disclosure Summit in Washington D.C. on March 30, 2012. Video will eventually be available.
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.
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.)
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.
This is the original keynote file for my talk at the Smart Disclosure Summit in Washington DC on March 30, 2012. I will upload a PDF with notes separately.
Keynote "Les effets de bord de l'innovation" - merkapt 2016INNOVATION COPILOTS
A keynote for part of the French ENGIE managing team on innovation's "edge effects", and why these effects have now become the underlying drivers of market change.
Should Mentors of Entrepreneurs be Trained or their Experience is Enough?INNOVATION COPILOTS
Entrepreneurial mentoring is the support of novice entrepreneurs by experienced professionals in the business world. Despite this practice gaining popularity, a question remains: is it necessary for these organizations to train mentors or is the mentor’s experience su cient? To answer this question, we analyzed the e ect of the mentor’s training, as well as his/her pro le in terms of experience, on the mentee’s degree of satisfaction and learning. Our results show that the more a mentor is trained, the more he/she develops relational competencies, thereby creating a favorable (trusting) environment and developing an appropriate mentoring style (maieutic), which allows the mentee to learn and become more autonomous. However, the mentor’s experience in entrepreneurship does not have an impact on the quality of the mentoring relation‐ ship, nor does it impact the novice learning. Our results also show that, contrary to our expectations, mentoring experience has a negative impact on most of the psychological functions of the mentor. We found that this negative e ect is neutralized by continuous training of mentors. This suggests that entrepreneurship support organizations should implement specific training sessions for experienced mentors.
Too often, recruiting is a reactive game instead of proactive.
By examining the gaps in your funnel, you’ll improve each phase of the recruiting strategy from employment branding to the hire.
Join us on Tuesday, June 14 as Matt Singer, VP of Marketing at Jobvite, dives into data from our own database of 45 million job seekers and thousands of our own customers. He’ll show:
Why employer branding is the first step in building a positive application process.
How to convert more job seekers to applicants by a deeper analysis of your job ads.
Ways to analyze the performance your ATS, best utilize the tool, and get a better ROI.
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.
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.
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.
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.)
This is the pdf (with notes) of my slide deck from the Smart Disclosure Summit in Washington D.C. on March 30, 2012. Video will eventually be available.
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.
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.)
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.
This is the original keynote file for my talk at the Smart Disclosure Summit in Washington DC on March 30, 2012. I will upload a PDF with notes separately.
Keynote "Les effets de bord de l'innovation" - merkapt 2016INNOVATION COPILOTS
A keynote for part of the French ENGIE managing team on innovation's "edge effects", and why these effects have now become the underlying drivers of market change.
Should Mentors of Entrepreneurs be Trained or their Experience is Enough?INNOVATION COPILOTS
Entrepreneurial mentoring is the support of novice entrepreneurs by experienced professionals in the business world. Despite this practice gaining popularity, a question remains: is it necessary for these organizations to train mentors or is the mentor’s experience su cient? To answer this question, we analyzed the e ect of the mentor’s training, as well as his/her pro le in terms of experience, on the mentee’s degree of satisfaction and learning. Our results show that the more a mentor is trained, the more he/she develops relational competencies, thereby creating a favorable (trusting) environment and developing an appropriate mentoring style (maieutic), which allows the mentee to learn and become more autonomous. However, the mentor’s experience in entrepreneurship does not have an impact on the quality of the mentoring relation‐ ship, nor does it impact the novice learning. Our results also show that, contrary to our expectations, mentoring experience has a negative impact on most of the psychological functions of the mentor. We found that this negative e ect is neutralized by continuous training of mentors. This suggests that entrepreneurship support organizations should implement specific training sessions for experienced mentors.
Too often, recruiting is a reactive game instead of proactive.
By examining the gaps in your funnel, you’ll improve each phase of the recruiting strategy from employment branding to the hire.
Join us on Tuesday, June 14 as Matt Singer, VP of Marketing at Jobvite, dives into data from our own database of 45 million job seekers and thousands of our own customers. He’ll show:
Why employer branding is the first step in building a positive application process.
How to convert more job seekers to applicants by a deeper analysis of your job ads.
Ways to analyze the performance your ATS, best utilize the tool, and get a better ROI.
It can take hundreds of candidates to fill one position. That may seem excessive, but after considering all the steps candidates go through — seeing a requisition, applying, interviewing, receiving an offer, and finally accepting the position — it’s easy to see all the ways candidates are weeded out. The good news? Recruiting can be optimized at every step through employer branding, sourcing, candidate experience curation, selection and insights. In this session, Andre Boulais, talent acquisition specialist at Jobvite, will share how brands can improve and accelerate every step of the funnel to bring in high-quality talent quicker than ever before.
In this session, attendees will learn:
• A concrete knowledge of each step of the recruiting funnel.
• How the recruiting funnel maps to candidate experience.
• Actionable tips on optimizing each step of the recruiting funnel.
Speaker: Andre Boulais, Strategic Account Director, Jobvite
A brief description of the admissions process overview through the lens of the changing "Admissions Funnel." This presentation would be most helpful for brand new admissions personnel or for others who want to know more about the craft of admissions but will not be directly involved in it - board members, for example.
Presentazione del progetto europeo Comunicare in rete per lo sviluppo, promosso dalla federazione delle ong catalane FCONG, in partenariato con RESACOOP in Francia e COP (Consorzio Ong Piemontesi) in Italia
LegalDoc LITE è la soluzione per la conservazione sostitutiva per PMI e professionisti, garantisce piena compliance normativa a bassi costi ed è immediatamente disponibile sul PC.
Il processo di fatturazione elettronica verso la Pubblica Amministrazione richiede alle aziende un cambiamento tecnologico e di processo nelle attività del ciclo attivo e passivo, dato dalla necessità di dialogo con il Sistema di Interscambio di Sogei (Sdi), l'infrastruttura che si occupa di ricevere i flussi di fatture elettroniche destinate alla PA e di destinarli verso gli uffici competenti.
InfoCert ha già provveduto a supportare i soggetti coinvolti in tale processo attraverso l'erogazione di un servizio specifico di Fatturazione Elettronica per PA, per la gestione automatizzata del ciclo di invio, ricezione e conservazione delle Fatture Elettroniche PA, perciò può organizzare e inviare le fatture elettroniche e successivamente organizzare tutto il processo di conservazione sostitutiva.
AI and Robotics are already here. Are we ready to embrace the reality of its impact on the future of jobs and the Workplace? What are the jobs that are likely to become redundant?
AN OBNOXIOUS LACUNA ON DISCOURSES AND COUNTER DISCOURSES OVER ARTIFICIAL INTE...gerogepatton
Artificial intelligence is the highest form of human development and sound outcome of human conscience
till the date. But the very development seems to be devastating to human future ahead and has been heavily
projected accordingly. More than it may be to decay and destroy the world, the negative and chilling views
on the prospective damages of AI that scholars are percolating to public are costing many times on
humans; and that is plunging human mindset into irreparable pessimism and negativity. This article
explores the way that AI is being depressingly explored and investigated to browbeat public. In addition,
this write-up highlights the serious lacuna, which the advanced academic engagement has still grossly
failed to fill up, of a great deal in course of mainstreaming views and discussions for noble cause of human
development and societal well-belling . Further, it unmasks the dire need in making constructive,
encouraging and optimistic mind-set building academic pursuits and writings then makes an alarming call
to the all prominent scholars to engage with due compliance of it .
AN OBNOXIOUS LACUNA ON DISCOURSES AND COUNTER DISCOURSES OVER ARTIFICIAL INTE...ijaia
Artificial intelligence is the highest form of human development and sound outcome of human conscience
till the date. But the very development seems to be devastating to human future ahead and has been heavily
projected accordingly. More than it may be to decay and destroy the world, the negative and chilling views
on the prospective damages of AI that scholars are percolating to public are costing many times on
humans; and that is plunging human mindset into irreparable pessimism and negativity. This article
explores the way that AI is being depressingly explored and investigated to browbeat public. In addition,
this write-up highlights the serious lacuna, which the advanced academic engagement has still grossly
failed to fill up, of a great deal in course of mainstreaming views and discussions for noble cause of human
development and societal well-belling . Further, it unmasks the dire need in making constructive,
encouraging and optimistic mind-set building academic pursuits and writings then makes an alarming call
to the all prominent scholars to engage with due compliance of it .
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.
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.
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.
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."
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.
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.
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/
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.
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
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.
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.
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
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.
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.
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.
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.
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.
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
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
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/
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
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!
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.
Key Trends Shaping the Future of Infrastructure.pdf
What's the Future?
1.
2. “…47 percent of jobs are “at risk”
of being automated in the next
20 years.”
Carl Frey and Michael Osborne, Oxford University
“The Future of Employment: How Susceptible
Are Jobs to Computerisation?”
12. “ God did not make
being an auto worker
a good job!”
—David Rolf, SEIU
13. “The New Deal’s
Reconstruction Finance
Corporation helped light up
America — moving it from
10 percent of homes having
electricity in 1930 to more
than 60 percent a decade
later. [We] utterly
transform[ed] the economy
in about five years, by using
idle capital.”
–Louis Hyman
Borrow: The American Way
of Debt
14.
15. Are we done yet?
“ Technology is the solution
to human problems. We
won’t run out of work till
we run out of problems.”
–Nick Hanauer
19. Climate change is
for our generation
what World War II
was for our parents
and grandparents.
20. “It takes a machine to
get inside the OODA
loop of another
machine.”
Observe
Orient
Decide
Act A DARPA Cyber Grand Challenge team
21. But we do have a responsibility to get
the transformation right!
“The great question of
the 21st century will
be “Whose black box
do we trust?”
—John Mattison
Editor's Notes
Hearing that Bob Dylan just won the Nobel Prize for Literature, how could I not begin this talk with his famous line, “Something is happening here, but you don’t know what it is, do you, Mr. Jones?” The future is full of amazing things. On my way here, I spoke out loud to a $200 dollar device in our kitchen, and asked it to call a Lyft to take me to the airport. And in a few years, that car might well be driving itself. Someone seeing this for the first time would have every excuse to say “WTF?”
That of course is an expression of surprise and delight that stands for What’s the Future?
But many lot of people are reading the news about Artificial Intelligence and are feeling a profound sense of unease. They are also asking themselves WTF? What’s the Future? But in a very different tone of voice.
They read that researchers at Oxford University project that up to 47% of human tasks, including many white collar jobs, could be eliminated by automation within the next 20 years.
They’ve head that self driving cars and trucks will put millions of Americans out of work.
I’d like to provide an alternate perspective.
Back in 1811 and 1812, a group of weavers led by Ned Ludd staged a rebellion, smashing the steam powered looms that were threatening their livelihood. Ludd and his compatriots were right to be afraid. The decades ahead were grim, as machines replaced human labor, and it took time for society to adjust.
But those weavers couldn’t imagine that their descendants would have more clothing than the kings and queens of Europe, that ordinary people, not just kings and queens, would eat the fruits of summer in the depths of winter. They couldn’t imagine that we’d tunnel through mountains and under the sea, that we’d fly through the air, crossing continents in hours, that we’d build cities in the desert with buildings a half mile high, that we’d put spacecraft in orbit, that we would eliminate so many scourges of disease! And they couldn’t imagine that their children, grandchildren, and great grandchildren would find meaningful work bringing all of these things to life!
To understand the future, it often helps to look backwards. I want to start here, with one of the world’s most heralded inventions. Can you imagine the first woman (I imagine it was a woman) who built a controlled fire? How amazed her companions were. Perhaps afraid at first. But soon warmed and fed by her boldness. But even more important than fire itself was the ability to tell others about it! It was language that was our first great invention, the ability to pass fire from mind to mind.
The invention of movable type and the book led to remarkable flowering in the world economy, as the discoverers of the new could pass the fire of knowledge to people not yet born and to those living thousands of miles away.
The internet was the next great leap. But the web browser - effectively the written word online - was only a halfway house.
Photo: Tim O’Reilly, The old War Department Library, Eisenhower Executive Office Building, Washington D.C.
I was reminded recently just how access to knowledge has changed when riding on San Francisco’s 14 Mission bus. I was sitting between two old men. I pulled out my phone to check where to get off. The old man on my right was agog. He’d never seen Google Maps before. The other jumped in eagerly, explaining that the blue dot followed our progress. I left them, one still in wonder, the other confident in the new reality, now demoing Google Maps on his phone to the other, who had never seen it.(photo of Bill Gates center at CM)
Think about it for a moment. Over a billion people can pull out a phone and see where they are and how to get where they want to go in real time. And that capability underlies on-demand services like Uber, and remarkable new startups like Zipline, which is delivering blood and critical medicines by drone in countries without good roads or accessible hospital infrastructure. Zipline’s first pilot was in Rwanda, but they are already bringing the technology back to the US. Imagine if FEMA had access to this technology right now!
GPS and Google maps illustrate what I call “the arc of knowledge.” We’ve gone from the spoken to the written word, to mass production of writing, to electronic dissemination via the internet, to embedding knowledge into services and devices. AI is simply the next step in that arc, feeding massive amounts of data into Machine Learning models to find new meaning in it and to enable new kinds of services. AI is not some kind of radical discontinuity. AI is not the machine from the future that is hostile to human values and will put us all out of work. AI is the next step in the spread and usefulness of knowledge, which is the true source of the wealth of nations.
It’s easy to blame technology for the problems that occur in periods of great economic transition. But both the problems and the solutions are the result of human choices. As we saw during the first industrial revolution, society suffers if the fruits of automation are used solely to enrich the owners of the machines, and workers are treated as a cost to be eliminated, or as cogs in the machine, to be used up and thrown away. But Victorian England figured out how to do without slavery, without child labor, with reduced working hours, and guess what, society became more prosperous. We saw the same thing here in the US during the 20th century.
It’s important to remember, that, as my friend, the labor organizer David Rolf, points out, “God did not make being an auto worker a good job!” We made choices as a society to share the fruits of machine productivity more widely.
We also made choices to invest in the future. That golden age of postwar productivity was the result of massive investments in in roads and bridges, universal power, water, sanitation, communications. Louis Hyman, author of Borrow: The American Way of Debt, pointed out that we went from 10% of homes in the US having electricity in 1930 to 60% ten years later, simply by putting idle capital and human ingenuity to work. After World War II, we committed enormous resources to rebuild the lands destroyed by war, but we also invested in basic research. We invested in new industries: aerospace, chemicals, and yes, computers and telecommunications.
We also invested in education. Education. Sociologist and author Robert Putnam once said “All of the great advances in our society have come when we have made investments in other people’s children.”
In the age of AI, we are faced again with that choice to invest in the future. Technology investor Nick Hanauer said ““Technology is the solution to human problems. We won’t run out of work till we run out of problems.” AI has the potential to turbocharge the productivity of all our industries. But making what we do now more productive, and sharing the fruits of that productivity, is just the beginning. If we let machines put us out of work, it will be because of a failure of imagination and a lack of will to make a better future! We must ask ourselves: What is impossible today, but will become possible with the technology we are now afraid of? “We won’t run out of work till we run out of problems.” Are we done yet? Are we done yet?
Mark Zuckerberg and Priscilla Chan’s announcement a few weeks ago to fund an initiative that aims to cure all disease within their children’s lifetime is a great example of bold dreams. It’s hard to imagine that AI and Machine Learning won’t play a major role in achieving that ambitious goal. Already AI is being used to analyze millions of radiology scans at a level of resolution and precision impossible for humans, as well as helping doctors to keep up with the flood of medical research at a level that can’t be accomplished by a human practitioner.
And the White House Precision Medicine Initiative has already helped blaze that trail, with a vision of tailoring treatment to each individual patient. AI will play a huge role in precision medicine. We contribute our data; machines will help us interpret it. I heard recently from one startup that of the over 1 million full human genomes that have been sequenced, only 49000 have been interpreted. That’s a job for AI.
Image from: https://www.whitehouse.gov/precision-medicine
Perhaps even more exciting, we’re studying the brain and how it works, with the prospect of creating prosthetics that give their users a sense of touch, that allow direct brain control of devices, and even “brain prosthetics” to deal with neurological diseases!
Image from: http://www.darpa.mil/program/neural-engineering-system-design
How about Climate Change? Climate change is for our generation what World War II was for our parents and grandparents, a challenge that we must rise to or suffer dire consequences.
Already in data centers, AI is radically increasing power efficiency. How do we rethink and rebuild our electric grid to be decentralized and adaptive? How do we use autonomous vehicles to rethink the layout of our cities, making them greener, healthier, better places to live? How do we use AI to anticipate ever more unpredictable weather, protecting our agriculture, our cities, and our economy?
Cybersecurity is another of our great challenges. And we are rising to it with the aid of Machine Learning. The DARPA Cyber Grand Challenge asked for the development of AI to find and automatically patch software vulnerabilities that corporate and government IT teams just aren’t able to keep up with. The problem is that an increasing number of cyber attacks are being automated, and as one knowledgeable friend of mine, who wishes to remain anonymous, remarked, “It takes a machine to get inside the OODA loop of another machine.” (OODA: Observe, Orient, Decide, Act.)
Image from https://www.cybergrandchallenge.com/press#photogallery
And as with every new technology, one of our grand challenges is governing our own creations. Kaiser Chief Medical Information Officer John Mattison once remarked, “The great question of the 21st century will be “Whose black box do we trust?” We have to ensure that we are transparent about the algorithms we create, and work to make them free of bias. We have to ensure that AI is not controlled by only a few giant corporations but becomes the common heritage of mankind. And we have to ensure that every data science and Computer Science training program has ethics and security embedded throughout the curriculum.
AI is a tool for human purpose, the next step in a long line that goes back through the ox and plough, the sawmill and the factory, the steam engine and the automobile, the airplane and the communications satellite.
Are we done yet? Are we done yet? What challenges lie ahead that only AI can help us solve? We must return again and again to the perpetual challenge: Can we hand off a better world to our children? Thank you very much.