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.
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.
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.
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.
A Glimpse Into the Future of Data Science - What's Next for AI, Big Data & Ma...Pangea.ai
We are living in the era of "the fourth industrial revolution". How did we get here? Read this presentation to explore current application trends in Artificial Intelligence (AI,) The Internet of Things (IoT), Big Data, and Machine Learning (ML) technology. Also, to discover the future implications of big data in our lives.
Read the original article here: https://www.pangea.ai/data-science-resources/future-of-data-science/
Work with a data science expert at Pangea: https://www.pangea.ai/
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.
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.
Tim O'Reilly argues that AI and automation do not necessarily eliminate jobs but can create new types of work. While some studies estimate 47% of jobs may be automated in the next 20 years, technology solves human problems and more problems means more work. When productivity increases only benefit shareholders and not society, problems arise. However, AI can be used to augment humans and enable them to do things previously impossible. The future of work is up to us to ensure technology empowers people.
Download the full report now: http://bit.ly/1QD3aDm
Imagine a future where you don’t have to think about money. Got it? Well you’re probably thinking about it the wrong way. Because today, right now, money isn’t real.
That bill you can hold in your hand is simply a representation of a transaction about to take place, completely dependent upon our belief that it has a value. We believe wholeheartedly that a piece of paper can be exchanged for a cup of coffee or a microwave oven. But, when we strip away our dependence on this concept of “money”, and the physicality of its exchange, what remains in the pure transaction. A transaction of value.
This report unpacks how our very concept of money is evolving, and describes how the system designed to manage its movement is ripe for disruption. This shift will create immediate opportunities for brands to connect with consumers as not only participants, but partners in modern culture.
Our report examines:
• The concept of value beyond traditional financial notions
• How value hinges upon trust, and the way trust is driving disruption
• Tech startups and small group communities working together to challenge the way we’re paying for our lives
• Peer to peer exchanges, dying middlemen and algorithmic security
• New asset classes and a working vision of the Internet of Things
49 pp., 23 illustrations
Our report points to the near future, where every person, place, and thing has a measurable value that can be exchanged intangibly, rapidly, securely, and most importantly, directly. It’s a system where abstract notions like social currency have a value that can be transacted in the same way that we now buy a cup of coffee. It’s a system that can empower a planet where every single device, every head of lettuce, every drop of fuel, every road and cable that make up our infrastructure have a value not only in and of itself, but also in the context of its use.
Meet your new value system, or the future of money. UnMoney.
Methodology
For this report, sparks & honey conducted research and interviewed experts at DevCon1 in London (2015) and the Scaling Bitcoin Workshop in Hong Kong (2015). Using new social listening tools, we gauged public sentiment around the disruption of established currencies and financial systems. And tapping into our global scout network and proprietary cultural intelligence system, we combed through thousands of signals to build a vision of the future of value in an unmonied world.
Lawyers care about bitcoin and blockchain technology for several reasons. First, bitcoin presents novel legal issues as it enables decentralized collaborative organizations and autonomous agents. Second, bitcoin can affect many areas of law like banking, finance, taxation, and more. Finally, bitcoin provides opportunities for lawyers today such as using its features for proof of existence, avoiding the need for IOLTA accounts, and enabling governance controls for client funds through multisignature transactions.
Picnic version: The Clothesline Paradox and the Sharing Economy (pdf with notes)Tim O'Reilly
This is my slightly extended version of this talk, given at the Picnic Festival in Amsterdam. I think the arc of the talk is slightly less clear than the OScon version, but there is additional material and better 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.
World Government Summit on Open SourceTim O'Reilly
Tim O'Reilly discusses lessons that governments can learn from technology companies to improve government services. Some key points:
1) Governments should focus on reinventing the citizen experience and making interfaces to government simple, beautiful and easy to use like consumer websites.
2) Governments should use data to drive decisions and continuously improve services based on metrics, like Google and other tech companies.
3) Governments should create architectures of participation that engage citizens in developing and improving services, not just providing feedback.
4) Governments should act as platforms, providing open data and services for private companies and citizens to build upon, like the internet and GPS systems.
The document discusses the financial revolution driven by digitization, disaggregation, and decentralization. It summarizes that fintech startups are using new technologies like APIs, cloud services, and algorithms to build faster and offer more user-friendly interfaces, while traditional banks still handle the underlying financial infrastructure. This has created a relationship of "frenemies" between fintech startups and incumbents. The revolution is opening up financial services to more consumers while also introducing new risks from issues like increased complexity and lack of regulation in the new areas.
1. Social media champions are struggling to reconcile its good and bad impacts on society, with concerns that it reduces empathy and harms civic discourse.
2. Emerging technologies like IoT and AI raise serious issues around privacy, security, and job disruption that require thoughtful policy solutions.
3. SXSW panels demonstrated a new maturity in exploring real challenges of technologies like VR, blockchain, and AI rather than just hype, with a focus on human-centered design and experimentation to understand societal impacts.
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
Big Data and the Future of Journalism (Futurist Keynote Speaker Gerd Leonhard...Gerd Leonhard
This is a slightly edited version of my slides presented in London on June 7, 2013 and the Reuters Institute see https://reutersinstitute.politics.ox.ac.uk/research/conferences/forthcoming-conferences/big-data-big-ideas-for-media.html
BTW: You can download ALL of my slideshows, free books and other stuff at http://futuristgerd.com/downloads/
"Data stockpiles are growing exponentially...consumer profiles, media content usage patterns, Twitter and Facebook posts, online purchases, public records, real-time media user behavior and much more. The Big Ideas conference speakers will inspire tactics and strategies to harness these data.
The media industry's leading edge experts from journalism and business disciplines will detail their own case studies, outlining their challenges and triumphs using tools to understand complex data sets. They will outline how these experiences have paved the way to prize-winning journalism, audience insights and growing revenues..."
New Industrial Revolution(s) and Future ScenariosRobin Teigland
My slides from the first day of the DecodingX Executive Education Program in Digital Transformation at the Stockholm School of Economics (https://exedsse.se/program/decoding-x/) in March 2018.
Digital Business Introduction & Learning Thought StartersRunway Digital
Digital Business, organisation changes, digital disruption, privacy, ethics and social media are all included. This was presented at a conference for 100 local and global leaders in Australia.
The document discusses big data and its potential value for businesses. It provides perspectives from several experts on how businesses can utilize machine-generated data and benefit from hybrid cloud solutions to gain insights and make improvements. Additionally, it addresses the need to develop data analysis skills in the workforce and recommendations for how companies can develop an information strategy to harness data's potential for competitive advantage.
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
What Internet Operations Teach Us About the Future of ManagementAPNIC
The document discusses how technology is changing the nature of work and the global economy. It argues that 47% of jobs are at risk of automation in the next 20 years. However, it also notes that technology can help solve major problems like climate change and help rebuild infrastructure. The document discusses how algorithms are increasingly managing human tasks and decisions, with implications for how companies and governments are organized. It argues we must ensure technology augments rather than replaces humans, and that regulation needs to focus on outcomes rather than rules to keep up with the pace of technological change.
#WeeklyUpdate #NewsPaper
It’s about time to embrace the world of #Algorithms with caution. But, what is Algorithm trading? Understand the basics and get latest updates in our weekly newspaper.
For more Info : https://www.myfindoc.com/research/newspaper
#Update #investment #algotrading #equity #share #mutualfunds
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.
The Crisis of Self Sovereignty in The Age of Surveillance CapitalismJongseung Kim
Surveillance capitalism is a new economic system that claims human experience as free raw material for hidden commercial practices of extraction, prediction, and sales. It relies on accumulating behavioral surplus data from users and using machine learning to generate prediction products that are sold to businesses. This allows firms like Google to convert behavioral surplus directly into revenue. The amount of surplus accumulated affects the accuracy of predictions, driving firms to amass ever greater stores of behavioral data for continued profits in behavioral futures markets.
Z kanelis profit nature of platforms-gzZachKanelis
This document advocates for teaching digital literacy in schools to help students understand and navigate profit-driven online platforms. It argues that platforms prioritize profits over user interests by collecting personal data, using algorithms and moderation to encourage interactions for advertising revenue. While platforms provide useful services, students need skills to critically evaluate information affected by these business practices. The document proposes including digital literacy in curriculums to help students find reliable sources and identify paid advertising amid vast online information. Challenges to implementation include evolving technology and time constraints, but resources exist to help educators prioritize teaching critical digital skills.
THE SOCIAL IMPACTS OF AI AND HOW TO MITIGATE ITS HARMSTekRevol LLC
In the wake of mass automation, UBIs might be the answer low-income families and citizens might be looking towards. As automation across industries increases, the induced fear within citizens of its impact is severe. From privacy concerns through rogue AI to doomsday scenarios to more realistic concerns of misused AI and loss of jobs, pop-culture led paranoia has shaken up the world. These concerns have to be dealt with, and tech companies and businesses need to have a robust moral framework under which decisions are made, to ensure any negative externalities of implementing AI are mitigated to the maximum degree. Artificial Intelligence is a great tool to optimize businesses and make our world more efficient, but the moral imperative on all of us is to ensure it happens sides by side human sustainability, not at its expense.
This year is all about authentic experiences, story-telling, exceptional customer service, relationships, connections, niche content, niche apps and big insights instead of big data.
Presentation by Melissa Chetty, Head of Digital Marketing at Creative Spark.
Reinventing Capitalism In The Age of Big Data (Reading Notes)Koh How Tze
Data capitalism could mean a more sustainable, egalitarian economy, but the end of the firm – including the end of stable employment – carries great risks as well.
Discussion on reading notes in English:
Future of Firms - https://www.youtube.com/watch?v=8eOvyb_Kiug
Future of Jobs - https://www.youtube.com/watch?v=cvV9x_6ibr4
Discussion on reading notes in Mandarin:
《大数据资本主义》: 金融资本主义退位,重新定义市场、企业、金钱、银行、工作与社会正义 | 听书会分享片段
(1 of 2)- https://www.youtube.com/watch?v=MTMCp_7uPM0
(2 of 2)- https://www.youtube.com/watch?v=Vb4ubRvxSwc
Artificial intelligence, particularly machine learning, is poised to have a major transformational impact on business. While AI is already used by thousands of companies, most big opportunities have yet to be tapped. Machine learning systems have achieved superhuman performance in areas like image recognition, speech recognition, and games like Go. However, their capabilities are still narrow - they have mastered specific tasks but lack general intelligence. The most progress has been in supervised learning, where systems are trained on large datasets with labeled examples to predict outputs. As more data and computing power become available, the potential for machine learning to automate tasks and transform industries will increase dramatically in the coming decade.
SHOULD ALGORITHMS DECIDE YOUR FUTUREThis publication was .docxmaoanderton
SHOULD ALGORITHMS DECIDE YOUR FUTURE?
This publication was prepared by Kilian Vieth and
Joanna Bronowicka from Centre for Internet and
Human Rights at European University Viadrina. It was
prepared based on a publication “The Ethics of
Algorithms: from radical content to self-driving cars”
with contributions from Zeynep Tufekci, Jillian C. York,
Ben Wagner and Frederike Kaltheuner and an event
on the Ethics of Algorithms, which took place on
March 9-10, 2015 in Berlin. The research was support-
ed by the Dutch Ministry of Foreign Affairs.
Find out more: cihr.eu/ethics-of-algorithms/
Follow the discussion on Twitter: #EoA2015
Graphic design by Thiago Parizi
cihr.eu @cihr_eu
1 | ETHICS OF ALGORITHMS ETHICS OF ALGORITHMS | 2
WHAT IS AN ALGORITHM?
ALGORITHMS SHAPE OUR WORLD(S)!
Our everyday life is shaped by computers and our computers are shaped
by algorithms. Digital computation is constantly changing how we commu-
nicate, work, move, and learn. In short, digitally connected computers are
changing how we live our lives. This revolution is unlikely to stop any time
soon.
Digitalization produces increasing amounts of datasets known as ‘big
data’. So far, research focused on how ‘big data is produced and stored.
Now, we begin to scrutinize how algorithms make sense of this growing
amount of data
Algorithms are the brains of our computers, mobiles, Internet of Things.
Algorithms are increasingly used to make decisions for us, about us, or
with us – oftentimes without us realizing it. This raises many questions
about the ethical dimension of algorithms.
WHY DO ALGORITHMS RAISE ETHICAL
CONCERNS?
First, let's have a closer look at some of the critical features of algorithms.
What are typical functions they perform? What are negative impacts for
human rights? Here are some examples that probably affect you too.
THEY KEEP INFORMATION AWAY FROM US
Increasingly, algorithms decide what gets attention, and what is ignored;
and even what gets published at all, and what is censored. This is true for
all kinds of search rankings, for example the way your social media news-
feed looks. In other words, algorithms perform a gate-keeping function.
EXAMPLE
Hiring algorithms decide if you are invited for an interview.
• Algorithms, rather than managers, are more and more taking part in
hiring (and firing) of employees. Deciding who gets a job and who does
not, is among the most powerful gate-keeping function in society.
• Research shows that human managers display many different biases in
hiring decisions, for example based on social class, race and gender.
Clearly, human hiring systems are far from perfect.
• Nevertheless, we may not simply assume that algorithmic hiring can
easily overcome human biases. Algorithms might work more accurate
in some areas, but can also create new, sometimes unintended, prob-
lems depending on how they are programmed and what input data is
used.
Ethical.
- Around 23 million people in the UK have experienced a life shock such as illness, job loss, or relationship breakdown in the past two years, and those who experienced a life shock were three times as likely to be in problem debt.
- Current support mechanisms are insufficient, as many people, even those still employed, cannot build financial protections against common life shocks.
- There is a need for policymakers to prioritize this issue and work with organizations to identify how to improve support and break the link between life shocks and problem debt.
The document provides a regularly updated collection of interesting and important tech and VC news items. It summarizes several recent news stories, including:
- Growing calls for tools to detect, understand, and defend against AI as advances make it possible to generate indistinguishable digital media and AI impacts more decisions. There is an opportunity for startups in "explainable AI".
- Questions around whether Facebook can be "fixed" given that its advertising model creates users as the product. Changes may undermine the business model.
- The Economist argues that tech monopolies ultimately stifle innovation and consumers. Proposed solutions include greater scrutiny of mergers and enforcing consumer ownership of data.
- Despite Amazon and Alib
Top Trends from SXSW Interactive 2014. The Big Roundup.Ashika Chauhan
SXSW wasn’t just about one or two pieces of new tech, what it actually felt like was a glimpse into the not-so-distant future.
Trends you might of heard of like wearables, data and the internet of things are still around, but they’re beginning to grow-up and different industries are beginning to be disrupted as a result.
More than anything, the conference instilled a sense of responsibility in me. The decisions we make today, as people, as agencies and as brands will define the future we live in tomorrow.
The deck covers the most prominent trends from this year. I'd love to hear your thoughts, say hello @ashikachauhan.
Ashika Chauhan is Big’s Digital Experience Director and is passionate about creative innovation.
Supernova 2009: Eric Clemons and the Prospects for Antitrust Action Against G...TerrorNova Guild
This document discusses potential antitrust issues facing Google and outlines arguments that could be made if antitrust litigation were brought against the company. It argues that Google's relevant market share may be closer to 70% of the online search market rather than the 3% of advertising Google claims. Search is described as a form of electronic distribution and Google's dominance makes it an essential facility like computer operating systems or airline reservation systems were in the past. The document also points to Google's unprecedented profitability and use of cross-subsidies as signs it may have monopoly power and be stifling competition through predatory conduct.
Social Media Marketing (Digital Marketing '15 @ Oulu University)Joni Salminen
This document discusses marketing in social media and provides guidance on using social media for job searching. It begins by defining social media and explaining its characteristics as two-way communication platforms for user-generated content. It then discusses why companies should use social media, noting that conversion is the ultimate goal but social media can also be used for branding. The document provides tips for running a targeted social media job campaign using Twitter, Pinterest, a landing page, and optimizing one's LinkedIn profile. It emphasizes that people are more interested in other people than companies on social media and that social media optimization will grow more important for career development.
WIPO: Search Engines, User Generated Content (UGC) and Social Network Service...Shane Coughlan
A talk delivered at the WIPO Asia-Pacific Regional Symposium On Copyright Related Aspects Of Information And Communication Technologies (ICT) held in Hanoi, Viet Nam between July 29 to 31, 2009.
In our latest piece, we share unique perspectives on how artificial intelligence is amplifying human potential and reshaping business. This article explore 3 fundamental questions:
How will AI shift the expectations of my customers?
How will AI transform the way my competitors run their businesses?
How should my company respond to AI?
Similar to Mastering the demons of our own design (20)
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.
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."
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.
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.)
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.
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
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
- Government as a platform means providing fundamental applications and services for citizens and businesses to build additional applications on top of, similar to how thousands of apps were built on the Apple app store platform.
- However, government has been slow to adopt new technologies due to procurement processes not keeping up with Moore's Law. The author launched a Gov 2.0 Summit in 2009 to address this.
- Key lessons are that government must do the hard work to make services simple, build modular services that can be used as building blocks both internally and openly as Amazon did, and set standards for important data types as railroads standardized their gauge.
The AIs Are Not Taking Our Jobs...They Are Changing ThemTim O'Reilly
This document discusses how AI and technology are changing jobs rather than eliminating them. It argues that human-computer symbiosis is creating new types of jobs and changing existing jobs and industries. As an example, it discusses how Uber represents a human-machine symbiosis that has improved transportation services by matching drivers and passengers using GPS and big data. The document advocates focusing on using technology to address important problems like healthcare, education, infrastructure and sustainability.
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.
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.
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.
Technology and Trust: The Challenge of 21st Century GovernmentTim O'Reilly
The document summarizes Tim O'Reilly's talk on how technology and trust in government are linked. He argues that while technology has revolutionized many industries, government has been slow to adopt these changes. This has led to a decline in public trust as government services fail to meet citizens' expectations set by their digital experiences elsewhere. O'Reilly cites the UK's Government Digital Service as a positive example of an agency that has successfully modernized government websites and digital services through an iterative process focused on user needs rather than bureaucratic requirements.
Quality Patents: Patents That Stand the Test of TimeAurora Consulting
Is your patent a vanity piece of paper for your office wall? Or is it a reliable, defendable, assertable, property right? The difference is often quality.
Is your patent simply a transactional cost and a large pile of legal bills for your startup? Or is it a leverageable asset worthy of attracting precious investment dollars, worth its cost in multiples of valuation? The difference is often quality.
Is your patent application only good enough to get through the examination process? Or has it been crafted to stand the tests of time and varied audiences if you later need to assert that document against an infringer, find yourself litigating with it in an Article 3 Court at the hands of a judge and jury, God forbid, end up having to defend its validity at the PTAB, or even needing to use it to block pirated imports at the International Trade Commission? The difference is often quality.
Quality will be our focus for a good chunk of the remainder of this season. What goes into a quality patent, and where possible, how do you get it without breaking the bank?
** Episode Overview **
In this first episode of our quality series, Kristen Hansen and the panel discuss:
⦿ What do we mean when we say patent quality?
⦿ Why is patent quality important?
⦿ How to balance quality and budget
⦿ The importance of searching, continuations, and draftsperson domain expertise
⦿ Very practical tips, tricks, examples, and Kristen’s Musts for drafting quality applications
https://www.aurorapatents.com/patently-strategic-podcast.html
Coordinate Systems in FME 101 - Webinar SlidesSafe Software
If you’ve ever had to analyze a map or GPS data, chances are you’ve encountered and even worked with coordinate systems. As historical data continually updates through GPS, understanding coordinate systems is increasingly crucial. However, not everyone knows why they exist or how to effectively use them for data-driven insights.
During this webinar, you’ll learn exactly what coordinate systems are and how you can use FME to maintain and transform your data’s coordinate systems in an easy-to-digest way, accurately representing the geographical space that it exists within. During this webinar, you will have the chance to:
- Enhance Your Understanding: Gain a clear overview of what coordinate systems are and their value
- Learn Practical Applications: Why we need datams and projections, plus units between coordinate systems
- Maximize with FME: Understand how FME handles coordinate systems, including a brief summary of the 3 main reprojectors
- Custom Coordinate Systems: Learn how to work with FME and coordinate systems beyond what is natively supported
- Look Ahead: Gain insights into where FME is headed with coordinate systems in the future
Don’t miss the opportunity to improve the value you receive from your coordinate system data, ultimately allowing you to streamline your data analysis and maximize your time. See you there!
Quantum Communications Q&A with Gemini LLM. These are based on Shannon's Noisy channel Theorem and offers how the classical theory applies to the quantum world.
Interaction Latency: Square's User-Centric Mobile Performance MetricScyllaDB
Mobile performance metrics often take inspiration from the backend world and measure resource usage (CPU usage, memory usage, etc) and workload durations (how long a piece of code takes to run).
However, mobile apps are used by humans and the app performance directly impacts their experience, so we should primarily track user-centric mobile performance metrics. Following the lead of tech giants, the mobile industry at large is now adopting the tracking of app launch time and smoothness (jank during motion).
At Square, our customers spend most of their time in the app long after it's launched, and they don't scroll much, so app launch time and smoothness aren't critical metrics. What should we track instead?
This talk will introduce you to Interaction Latency, a user-centric mobile performance metric inspired from the Web Vital metric Interaction to Next Paint"" (web.dev/inp). We'll go over why apps need to track this, how to properly implement its tracking (it's tricky!), how to aggregate this metric and what thresholds you should target.
Sustainability requires ingenuity and stewardship. Did you know Pigging Solutions pigging systems help you achieve your sustainable manufacturing goals AND provide rapid return on investment.
How? Our systems recover over 99% of product in transfer piping. Recovering trapped product from transfer lines that would otherwise become flush-waste, means you can increase batch yields and eliminate flush waste. From raw materials to finished product, if you can pump it, we can pig it.
Scaling Connections in PostgreSQL Postgres Bangalore(PGBLR) Meetup-2 - MydbopsMydbops
This presentation, delivered at the Postgres Bangalore (PGBLR) Meetup-2 on June 29th, 2024, dives deep into connection pooling for PostgreSQL databases. Aakash M, a PostgreSQL Tech Lead at Mydbops, explores the challenges of managing numerous connections and explains how connection pooling optimizes performance and resource utilization.
Key Takeaways:
* Understand why connection pooling is essential for high-traffic applications
* Explore various connection poolers available for PostgreSQL, including pgbouncer
* Learn the configuration options and functionalities of pgbouncer
* Discover best practices for monitoring and troubleshooting connection pooling setups
* Gain insights into real-world use cases and considerations for production environments
This presentation is ideal for:
* Database administrators (DBAs)
* Developers working with PostgreSQL
* DevOps engineers
* Anyone interested in optimizing PostgreSQL performance
Contact info@mydbops.com for PostgreSQL Managed, Consulting and Remote DBA Services
GDG Cloud Southlake #34: Neatsun Ziv: Automating AppsecJames Anderson
The lecture titled "Automating AppSec" delves into the critical challenges associated with manual application security (AppSec) processes and outlines strategic approaches for incorporating automation to enhance efficiency, accuracy, and scalability. The lecture is structured to highlight the inherent difficulties in traditional AppSec practices, emphasizing the labor-intensive triage of issues, the complexity of identifying responsible owners for security flaws, and the challenges of implementing security checks within CI/CD pipelines. Furthermore, it provides actionable insights on automating these processes to not only mitigate these pains but also to enable a more proactive and scalable security posture within development cycles.
The Pains of Manual AppSec:
This section will explore the time-consuming and error-prone nature of manually triaging security issues, including the difficulty of prioritizing vulnerabilities based on their actual risk to the organization. It will also discuss the challenges in determining ownership for remediation tasks, a process often complicated by cross-functional teams and microservices architectures. Additionally, the inefficiencies of manual checks within CI/CD gates will be examined, highlighting how they can delay deployments and introduce security risks.
Automating CI/CD Gates:
Here, the focus shifts to the automation of security within the CI/CD pipelines. The lecture will cover methods to seamlessly integrate security tools that automatically scan for vulnerabilities as part of the build process, thereby ensuring that security is a core component of the development lifecycle. Strategies for configuring automated gates that can block or flag builds based on the severity of detected issues will be discussed, ensuring that only secure code progresses through the pipeline.
Triaging Issues with Automation:
This segment addresses how automation can be leveraged to intelligently triage and prioritize security issues. It will cover technologies and methodologies for automatically assessing the context and potential impact of vulnerabilities, facilitating quicker and more accurate decision-making. The use of automated alerting and reporting mechanisms to ensure the right stakeholders are informed in a timely manner will also be discussed.
Identifying Ownership Automatically:
Automating the process of identifying who owns the responsibility for fixing specific security issues is critical for efficient remediation. This part of the lecture will explore tools and practices for mapping vulnerabilities to code owners, leveraging version control and project management tools.
Three Tips to Scale the Shift Left Program:
Finally, the lecture will offer three practical tips for organizations looking to scale their Shift Left security programs. These will include recommendations on fostering a security culture within development teams, employing DevSecOps principles to integrate security throughout the development
Blockchain and Cyber Defense Strategies in new genre timesanupriti
Explore robust defense strategies at the intersection of blockchain technology and cybersecurity. This presentation delves into proactive measures and innovative approaches to safeguarding blockchain networks against evolving cyber threats. Discover how secure blockchain implementations can enhance resilience, protect data integrity, and ensure trust in digital transactions. Gain insights into cutting-edge security protocols and best practices essential for mitigating risks in the blockchain ecosystem.
UiPath Community Day Kraków: Devs4Devs ConferenceUiPathCommunity
We are honored to launch and host this event for our UiPath Polish Community, with the help of our partners - Proservartner!
We certainly hope we have managed to spike your interest in the subjects to be presented and the incredible networking opportunities at hand, too!
Check out our proposed agenda below 👇👇
08:30 ☕ Welcome coffee (30')
09:00 Opening note/ Intro to UiPath Community (10')
Cristina Vidu, Global Manager, Marketing Community @UiPath
Dawid Kot, Digital Transformation Lead @Proservartner
09:10 Cloud migration - Proservartner & DOVISTA case study (30')
Marcin Drozdowski, Automation CoE Manager @DOVISTA
Pawel Kamiński, RPA developer @DOVISTA
Mikolaj Zielinski, UiPath MVP, Senior Solutions Engineer @Proservartner
09:40 From bottlenecks to breakthroughs: Citizen Development in action (25')
Pawel Poplawski, Director, Improvement and Automation @McCormick & Company
Michał Cieślak, Senior Manager, Automation Programs @McCormick & Company
10:05 Next-level bots: API integration in UiPath Studio (30')
Mikolaj Zielinski, UiPath MVP, Senior Solutions Engineer @Proservartner
10:35 ☕ Coffee Break (15')
10:50 Document Understanding with my RPA Companion (45')
Ewa Gruszka, Enterprise Sales Specialist, AI & ML @UiPath
11:35 Power up your Robots: GenAI and GPT in REFramework (45')
Krzysztof Karaszewski, Global RPA Product Manager
12:20 🍕 Lunch Break (1hr)
13:20 From Concept to Quality: UiPath Test Suite for AI-powered Knowledge Bots (30')
Kamil Miśko, UiPath MVP, Senior RPA Developer @Zurich Insurance
13:50 Communications Mining - focus on AI capabilities (30')
Thomasz Wierzbicki, Business Analyst @Office Samurai
14:20 Polish MVP panel: Insights on MVP award achievements and career profiling
MYIR Product Brochure - A Global Provider of Embedded SOMs & SolutionsLinda Zhang
This brochure gives introduction of MYIR Electronics company and MYIR's products and services.
MYIR Electronics Limited (MYIR for short), established in 2011, is a global provider of embedded System-On-Modules (SOMs) and
comprehensive solutions based on various architectures such as ARM, FPGA, RISC-V, and AI. We cater to customers' needs for large-scale production, offering customized design, industry-specific application solutions, and one-stop OEM services.
MYIR, recognized as a national high-tech enterprise, is also listed among the "Specialized
and Special new" Enterprises in Shenzhen, China. Our core belief is that "Our success stems from our customers' success" and embraces the philosophy
of "Make Your Idea Real, then My Idea Realizing!"
What Not to Document and Why_ (North Bay Python 2024)Margaret Fero
We’re hopefully all on board with writing documentation for our projects. However, especially with the rise of supply-chain attacks, there are some aspects of our projects that we really shouldn’t document, and should instead remediate as vulnerabilities. If we do document these aspects of a project, it may help someone compromise the project itself or our users. In this talk, you will learn why some aspects of documentation may help attackers more than users, how to recognize those aspects in your own projects, and what to do when you encounter such an issue.
These are slides as presented at North Bay Python 2024, with one minor modification to add the URL of a tweet screenshotted in the presentation.
AI_dev Europe 2024 - From OpenAI to Opensource AIRaphaël Semeteys
Navigating Between Commercial Ownership and Collaborative Openness
This presentation explores the evolution of generative AI, highlighting the trajectories of various models such as GPT-4, and examining the dynamics between commercial interests and the ethics of open collaboration. We offer an in-depth analysis of the levels of openness of different language models, assessing various components and aspects, and exploring how the (de)centralization of computing power and technology could shape the future of AI research and development. Additionally, we explore concrete examples like LLaMA and its descendants, as well as other open and collaborative projects, which illustrate the diversity and creativity in the field, while navigating the complex waters of intellectual property and licensing.
How Netflix Builds High Performance Applications at Global ScaleScyllaDB
We all want to build applications that are blazingly fast. We also want to scale them to users all over the world. Can the two happen together? Can users in the slowest of environments also get a fast experience? Learn how we do this at Netflix: how we understand every user's needs and preferences and build high performance applications that work for every user, every time.
The DealBook is our annual overview of the Ukrainian tech investment industry. This edition comprehensively covers the full year 2023 and the first deals of 2024.
Details of description part II: Describing images in practice - Tech Forum 2024BookNet Canada
This presentation explores the practical application of image description techniques. Familiar guidelines will be demonstrated in practice, and descriptions will be developed “live”! If you have learned a lot about the theory of image description techniques but want to feel more confident putting them into practice, this is the presentation for you. There will be useful, actionable information for everyone, whether you are working with authors, colleagues, alone, or leveraging AI as a collaborator.
Link to presentation recording and transcript: https://bnctechforum.ca/sessions/details-of-description-part-ii-describing-images-in-practice/
Presented by BookNet Canada on June 25, 2024, with support from the Department of Canadian Heritage.
Fluttercon 2024: Showing that you care about security - OpenSSF Scorecards fo...Chris Swan
Have you noticed the OpenSSF Scorecard badges on the official Dart and Flutter repos? It's Google's way of showing that they care about security. Practices such as pinning dependencies, branch protection, required reviews, continuous integration tests etc. are measured to provide a score and accompanying badge.
You can do the same for your projects, and this presentation will show you how, with an emphasis on the unique challenges that come up when working with Dart and Flutter.
The session will provide a walkthrough of the steps involved in securing a first repository, and then what it takes to repeat that process across an organization with multiple repos. It will also look at the ongoing maintenance involved once scorecards have been implemented, and how aspects of that maintenance can be better automated to minimize toil.
Fluttercon 2024: Showing that you care about security - OpenSSF Scorecards fo...
Mastering the demons of our own design
1. 1
Mastering the Demons of
Our Own Design
Tim O’Reilly
Founder and CEO, O’Reilly Media
@timoreilly
Science and Democracy Lecture
Harvard
April 21, 2021
2. Giving credit where credit is due
“Stunning as such crises are, we tend to
see them as inevitable…. We take comfort
in ascribing the potential for fantastic losses
to the forces of nature and unavoidable
economic uncertainty. But that is not the
case. More often than not, crises aren’t the
result of sudden economic downturns or
natural disasters. Virtually all mishaps over
the past decades had their roots in the
complex structure of the markets
themselves.”
3. Markets are human creations
Tax policy, laws, and regulations shape the
economy in much the same way as the
algorithmic systems at Google, Amazon,
and Facebook shape their marketplaces.
The market is a designed artifact, not a
natural phenomenon. When Facebook’s
algorithms have gone wrong, we demand
that we change them. But we throw up our
hands about many self-inflicted economic
wounds, as if the rules of the market are
unchangeable.
4. Stability vs risk
“An ecosystem is stable not because it is secure
and protected but because it contains such
diversity that some of its many types of members
are bound to survive despite drastic
changes….Herbert adds, however, that the effort of
civilization to create and maintain security for its
individual members “necessarily creates the
conditions of crisis because it fails to deal with
change.”
11. Collective Intelligence and “Hybrid AI”
“The hope is that, in not too many years,
human brains and computing machines will be
coupled together very tightly, and that the
resulting partnership will think as no human
brain has ever thought and process data in a
way not approached by the information-
handling machines we know today.”
- J.C.R. Licklider, Man-Machine
Symbiosis,1960
12. Gradually, then suddenly
Large segments of the economy are governed not by
free markets but by centrally managed platforms
13. Algorithms decide “who gets what – and why”
By placement on the screen and algorithmic
priority, Google, Amazon, and app stores shape
which pages users click on and which products
they decide to buy. Facebook shapes what
ideas gets attention. Uber and Lyft – not a free
market of competing drivers – decide what to
charge passengers, and thus the allocation of
value between drivers and riders.
14. Algorithms decide “who gets what – and why”
A better designed marketplace can
have better outcomes.
17. Real Time Digital Regulatory Systems
Google search quality
Social media feed organization
Email spam filtering
Credit card fraud detection
Risk management and hedging
18. Governance in the age of algorithms
Must focus on outcomes, not on rules.
Must operate at the speed and scale of the systems it is trying to
regulate.
Must incorporate real-time data feedback loops.
Must be robust in the face of failure and hostile attacks.
Must address the incentives that lead to misbehavior.
Must be constantly refined to meet ever-changing conditions.
19. It’s a hard problem
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 algorithms to
manage what we see and believe.
20. Algorithms have become a battleground
The battle against bad actors
crosses platform boundaries.
Policing platforms becomes
a major activity, which is also
carried out by algorithmic
systems.
22. Why haven’t these problems been solved yet?
Is it just that they are hard?
Is it that our political system gives mixed messages about what to do?
Is it that the leaders of the companies are bad people, concerned with
profit above all else?
Or is there something more at work?
23. Algorithmic systems have an “objective
function”
Google: Relevance
Facebook: Engagement
Uber: Passenger pick up time
Scheduling software used by McDonald’s, The Gap, or
Walmart: Reduce employee costs and benefits
Central banks: Control inflation? Employment? Interest
rates?
24. Like the djinn of Arabian mythology, our digital
djinni do exactly what we tell them to do
27. “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
28. 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
29. What is the objective function of our
financial markets?
“The Social Responsibility of Business Is to
Increase Its Profits”
Milton Friedman, 1970
33. The “Don’t Be Evil” Age of Internet Idealism
“We want you to come to Google and quickly find what you want. Then we’re
happy to send you to the other sites. In fact, that’s the point. The portal
strategy tries to own all of the information…. Most portals show their own
content above content elsewhere on the web. We feel that’s a conflict of
interest, analogous to taking money for search results. Their search engine
doesn’t necessarily provide the best results; it provides the portal’s results.
Google conscientiously tries to stay away from that. We want to get you out of
Google and to the right place as fast as possible. It’s a very different model.”
“Our goal is to be earth's most customer-centric company.”
Larry Page in 2004
Jeff Bezos in 1998
35. The Shift to Mobile
The shift to mobile and
the rise of social media
were an existential threat
to Google.
36. The pressure to grow is built into the system
“The relentless pressure to maintain
Google’s growth, he said, had come
at a heavy cost to the company’s
users. Useful search results were
pushed down the page to squeeze in
more advertisements, and privacy
was sacrificed for online tracking
tools to keep tabs on what ads
people were seeing.”
40. What happened to TripAdvisor
Google introduces
“Destinations” travel search
feature on mobile, starting in
March 2016, expands to
desktop search thereafter.
March 2018, Google retires
“Don’t be evil” statement
from corporate values.
42. When there is no money to be made…
Google has added
“answerbox”
features that serve
user interests, and
mostly sends the
traffic onwards as
before.
Only about 6% of
Google search
results pages
contain advertising
43. An Amazon Search Result from 2004
“Most popular” was the
default search
This distinguished
Amazon from B&N and
Borders, which
features sponsored
products or their own
competitive products
No more
44. Amazon today
All but one of the items
shown is sponsored
Publishers must advertise
their own products to be
visible
“Featured” is now the
default.
The old concept of
customer collective
intelligence picking the top
products is mostly gone.
47. Algorithmic rents
Platforms use their power to decide who gets what and why to allocate
an additional share of the value created to themselves.
48. “Rents [accrue] from a mismatch between
value creation and value appropriation”
“The classical economists…[define] economic rent as
income extracted from the ownership of a scarce
asset (such as land or other natural resources) or
control over an activity required for economic
production in excess of the costs required to maintain
the asset or activity. This income accrues without the
creation of any additional value — what the classicals
called ‘unearned income’ — so it can be viewed as
‘value extraction’, since it reduces the income
available for productive investment, spending or
innovation.”
Mariana Mazzucato,
UCL Institute for Innovation
and Public Purpose
49. In the long run, rent extraction is bad for the
platforms themselves as well as their users
53. Nations fail for the same reason as tech
platforms
Inclusive economies outperform
extractive economies. When inclusive
economies fall prey to extractive elites,
everyone is worse off.
57. Divergence of productivity
and real median family income in the US
To paraphrase Bookstaber,
“We take comfort in
ascribing the problem to the
unavoidable forces of ‘the
market.’ But that is not the
case."
58. Goodhart’s Law
When a measure becomes a target,
it ceases to be a good measure.
As restated by Marilyn Strathern
63. We have new tools
“The opportunity for AI is to help humans
model and manage complex interacting
systems.”
Paul R. Cohen
64. What Might Mission Driven Algorithms
Optimize For?
• Dealing with climate change
• Preparing for future pandemics
• Rebuilding our infrastructure
• Feeding the world
• Ending disease and provide healthcare for all
• Resettling refugees
• Educating the next generation
• Helping people to care for one another and to
enjoy the fruits of shared prosperity