"AI is “our greatest existential threat…”
“I’m increasingly inclined to think that there should be some regulatory oversight, maybe at the national and international level, just to make sure that we don’t do something very foolish.”
“I think there is potentially a dangerous outcome there.” (referring to Google’s Deep Mind which he invested in to keep an eye on things)."
Elon Musk
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?
Instead of fretting over how easily and soon humans will be replaced, leaders would be better advised to think about the future of automation as interlacing machine strengths with those of humans. Work will need redesigning, but the AI enabled automation – done well – can unlock economic growth, fuel innovation and make work more humanA presentation given at @FutureheadsUK Leaders of Change, at CaptialOne, on 5th December 2018, by Kevin McCullagh.
"AI is “our greatest existential threat…”
“I’m increasingly inclined to think that there should be some regulatory oversight, maybe at the national and international level, just to make sure that we don’t do something very foolish.”
“I think there is potentially a dangerous outcome there.” (referring to Google’s Deep Mind which he invested in to keep an eye on things)."
Elon Musk
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?
Instead of fretting over how easily and soon humans will be replaced, leaders would be better advised to think about the future of automation as interlacing machine strengths with those of humans. Work will need redesigning, but the AI enabled automation – done well – can unlock economic growth, fuel innovation and make work more humanA presentation given at @FutureheadsUK Leaders of Change, at CaptialOne, on 5th December 2018, by Kevin McCullagh.
Ethics within the Code: The Machine, the Other & Robotic Ethics
Artificial Intelligence (AI) has been a hot subject in the news over the last few years. Perusing the national and international headlines of today offers a scary and frightening picture of what may be coming as well as an opportunity to not work, cleanup, or do anything since robots and machines will manage our lives. The Huffington Post describes the advancement of “Nanobots in our brains will make us God-like.” The Guardian has warned the UN that the delays on “killer robots” bans on autonomous weapons will leave the door open for future robot wars. Elon Musk, Bill Gates, and a host of other tech luminaries and academics have called AI the greatest threat to the future of the planet.
We come across dozens of design breakthroughs and technological innovations daily--so many that it's easy to miss important trends emerging in the chaos all around us and not connect the dots to see the BIG picture.
Here at The Institute for Customer Experience (ICE), we understand the business and design value of capturing the right trend insights at the right moment. We observe and analyse trends in design, technology, and business, and keep our fingers on the pulse of the global zeitgeist. In this series of trendbriefs, we bring you alerts on what's trending in our world and their possible impact on our future.
Subscription to ICE Breakers - http://eepurl.com/S1ZFL
The AI or Deep Learning and End-to-End Reinforcement Learning (Deep Reinforcement Learning) towards AGI (Artificial General Intelligence) are reviewed easily for understanding with my past works that were done before the DQN by Google DeepMind, and also what I think about the development of AI is presented.
Richard Freeman: Work and Income in the Age of AI RobotsHKUST IEMS
This talk is a part of the HKUST IEMS & IPP – EY Hong Kong Emerging Market Insights Series. It is presented by HKUST IEMS with support by Institute for Public Policy and EY.
Will the next AlphaGo beat you at your job?
Will artificial intelligence overwhelm companies that rely on human decision-makers?
Or is the concern over robots and automation largely media hype?
This talk will offer evidence-driven insights about the on-going and likely future effects of the “robo-lution” on the global economy.
Find out more at Iems.ust.hk/insights
After a great trip to Melbourne for Future Assembly, I thought it'd be great to present our thoughts on Design Ethics for Artificial Intelligence.
It's a thought-provoking and engaging presentation and will have you pondering our flawed and highly subjective value systems.
Artificial Intelligence has become an essential part in our day-to-day life, and with the advancements in this field and how close we got to the Artificial Consciousness it’s getting into all types of digital media and even the film and TV industry. Machines now can author novels, create art, generate videos, act as news anchors, write fiction, compose music and the skies are the limit.
Where is AI taking us to future with digital media? Will there become a day that it will totally replace us? What is Digital Creativity and how close it is to our human creativity? How can we deal with a future where all these scary factors are approaching fast?
All these topics and more will be the core of the subject of the speech. It’s a conversation long due now and we should initiate it now before it’s too late. My experience in both Digital Media and Artificial Intelligence alongside with my recent research about Artificial Consciousness makes me qualified to carry such a tough conversation and bring it to light. I always say: Machines are NOT coming,they’re already here.
Accelerating innovation through diversity in Artificial Intelligence Swathi Young
Research has shown that diversity in AI contributes to effective decision-making and problem solving capability by providing a diverse range of perspectives, a broader spectrum of expertise, and more robust critical evaluation. These are critical attributes to the innovation process that leads to increased productivity, cultural capital and creativity that are essential to businesses and government agencies.
Learning Objectives
Takeaway1: This lack of gender diversity in emerging technologies such as AI creates the risk that AI systems ‘perpetuate existing forms of structural inequality even when working as intended’ . At the end of this session the audience would understand Why diversity is an important topic to focus on with regards to emerging technologies such as AI and its implications on business. Increase awareness of how this impacts the bottom line. Takeaway2: Offer key strategies to industry leaders and government officials on how to increase diversity in AI especially around gender, racial profiles and ethnic backgrounds. Takeaway3: Tools and techniques for tackling diversity issues both in the technologies (eg, machine learning models in AI) and in organizations
The genius of Daniel Susskind’s book, A World Without Work, lies in its ability to make a complex subject like labor economics and impact of automation, accessible to the lay reader. Even if you have no background in economics and lead a prosaic life, like most people, this book will expand your mental horizons.
Our fascination with machines is infinite, as is the unceasing focus to humanise them. The question is, how far are we willing to take artifical intelligence (AI)? Humans are emotional but not always emotionally intelligent, so it’s therefore possible that we end up we limiting the technology, losing ourselves in what we create. As such, to deal with the volatility, uncertainty, complexity, and ambiguity of our environment we must look beyond IT!
In this presentation, Simone explores the positives and negatives of volatility, uncertainty, complexity, and ambiguity (VUCA) with resilience vs. resistance, and teaches you how to understand talent diversity requirements in the machine age. In addition, she shows you how to elevate good habits while still retaining originality.
Ethics within the Code: The Machine, the Other & Robotic Ethics
Artificial Intelligence (AI) has been a hot subject in the news over the last few years. Perusing the national and international headlines of today offers a scary and frightening picture of what may be coming as well as an opportunity to not work, cleanup, or do anything since robots and machines will manage our lives. The Huffington Post describes the advancement of “Nanobots in our brains will make us God-like.” The Guardian has warned the UN that the delays on “killer robots” bans on autonomous weapons will leave the door open for future robot wars. Elon Musk, Bill Gates, and a host of other tech luminaries and academics have called AI the greatest threat to the future of the planet.
We come across dozens of design breakthroughs and technological innovations daily--so many that it's easy to miss important trends emerging in the chaos all around us and not connect the dots to see the BIG picture.
Here at The Institute for Customer Experience (ICE), we understand the business and design value of capturing the right trend insights at the right moment. We observe and analyse trends in design, technology, and business, and keep our fingers on the pulse of the global zeitgeist. In this series of trendbriefs, we bring you alerts on what's trending in our world and their possible impact on our future.
Subscription to ICE Breakers - http://eepurl.com/S1ZFL
The AI or Deep Learning and End-to-End Reinforcement Learning (Deep Reinforcement Learning) towards AGI (Artificial General Intelligence) are reviewed easily for understanding with my past works that were done before the DQN by Google DeepMind, and also what I think about the development of AI is presented.
Richard Freeman: Work and Income in the Age of AI RobotsHKUST IEMS
This talk is a part of the HKUST IEMS & IPP – EY Hong Kong Emerging Market Insights Series. It is presented by HKUST IEMS with support by Institute for Public Policy and EY.
Will the next AlphaGo beat you at your job?
Will artificial intelligence overwhelm companies that rely on human decision-makers?
Or is the concern over robots and automation largely media hype?
This talk will offer evidence-driven insights about the on-going and likely future effects of the “robo-lution” on the global economy.
Find out more at Iems.ust.hk/insights
After a great trip to Melbourne for Future Assembly, I thought it'd be great to present our thoughts on Design Ethics for Artificial Intelligence.
It's a thought-provoking and engaging presentation and will have you pondering our flawed and highly subjective value systems.
Artificial Intelligence has become an essential part in our day-to-day life, and with the advancements in this field and how close we got to the Artificial Consciousness it’s getting into all types of digital media and even the film and TV industry. Machines now can author novels, create art, generate videos, act as news anchors, write fiction, compose music and the skies are the limit.
Where is AI taking us to future with digital media? Will there become a day that it will totally replace us? What is Digital Creativity and how close it is to our human creativity? How can we deal with a future where all these scary factors are approaching fast?
All these topics and more will be the core of the subject of the speech. It’s a conversation long due now and we should initiate it now before it’s too late. My experience in both Digital Media and Artificial Intelligence alongside with my recent research about Artificial Consciousness makes me qualified to carry such a tough conversation and bring it to light. I always say: Machines are NOT coming,they’re already here.
Accelerating innovation through diversity in Artificial Intelligence Swathi Young
Research has shown that diversity in AI contributes to effective decision-making and problem solving capability by providing a diverse range of perspectives, a broader spectrum of expertise, and more robust critical evaluation. These are critical attributes to the innovation process that leads to increased productivity, cultural capital and creativity that are essential to businesses and government agencies.
Learning Objectives
Takeaway1: This lack of gender diversity in emerging technologies such as AI creates the risk that AI systems ‘perpetuate existing forms of structural inequality even when working as intended’ . At the end of this session the audience would understand Why diversity is an important topic to focus on with regards to emerging technologies such as AI and its implications on business. Increase awareness of how this impacts the bottom line. Takeaway2: Offer key strategies to industry leaders and government officials on how to increase diversity in AI especially around gender, racial profiles and ethnic backgrounds. Takeaway3: Tools and techniques for tackling diversity issues both in the technologies (eg, machine learning models in AI) and in organizations
The genius of Daniel Susskind’s book, A World Without Work, lies in its ability to make a complex subject like labor economics and impact of automation, accessible to the lay reader. Even if you have no background in economics and lead a prosaic life, like most people, this book will expand your mental horizons.
Our fascination with machines is infinite, as is the unceasing focus to humanise them. The question is, how far are we willing to take artifical intelligence (AI)? Humans are emotional but not always emotionally intelligent, so it’s therefore possible that we end up we limiting the technology, losing ourselves in what we create. As such, to deal with the volatility, uncertainty, complexity, and ambiguity of our environment we must look beyond IT!
In this presentation, Simone explores the positives and negatives of volatility, uncertainty, complexity, and ambiguity (VUCA) with resilience vs. resistance, and teaches you how to understand talent diversity requirements in the machine age. In addition, she shows you how to elevate good habits while still retaining originality.
In this The Hive Think Tank talk, Heron team provides an introduction to Heron, how it is being used at Twitter and shares an operating experiences and challenges of running Heron at scale. They recently announced the open sourcing of Heron under the permissive Apache v2.0 license. Heron has been in production nearly 2 years and is widely used by several teams for diverse use cases. Prior to Heron, Twitter used Apache Storm, which we open sourced in 2011. Heron features a wide array of architectural improvements and is backward compatible with the Storm ecosystem for seamless adoption.
The Hive Think Tank: Translating IoT into Innovation at Every Level by Prith ...The Hive
In this presentation Prith Banerjee discusses how a sustainable future must become radically more efficient with the way we use energy. He shared how the Internet of Things (IoT) and the convergence of Operational Technology (OT) and Information Technology (IT) are enabling Schneider Electric's innovation at every level, redefining power and automation for a new world of energy which is more electric, decarbonized, decentralized and digitized. Prith shared how, in this new world of energy, Schneider ensures that Life Is On everywhere, for everyone and at every moment. He also shared a set of IoT predictions for the future, based on findings of the company’s recent IoT Survey of 2,500 top business executives.
The Hive Think Tank: Machine Learning Applications in Genomics by Prof. Jian ...The Hive
In this The Hive Think Tank talk, Professor Jian Ma introduces machine learning methods that can be used to help tackle some of the most intriguing questions in genomics and biomedicine. He discusses the research projects in his group to study genome structure and function, including algorithms to unravel complex genomic aberrations in cancer genomes and gene regulatory principles encoded in our genome, by utilizing
probabilistic graphical models and deep neural network techniques. The knowledge obtained from such computational methods can greatly enhance our ability to understand disease genomes.
The Hive Think Tank: The Future Of Customer Support - AI Driven AutomationThe Hive
The Hive Think Tank Panel Discussion moderated by Kate Leggett (Forrester) with panelists: Allan Leinwand (ServiceNow), Nitin Narkhede (Wipro), Jason Smale (Zendesk), Dan Turchin (Neva). The future of customer support is AI-driven virtual agents. Soon, we’ll interact conversationally with bots that know who we are, how we’re impacted, and what we need. Soon, the capabilities of virtual agents will far exceed those of today’s best human agents. We’ll receive support that is more reliable than friends, more accurate than social media, and less frustrating than waiting on hold.
The Hive Think Tank: AI in The Enterprise by Venkat SrinivasanThe Hive
This The Hive Think Tank talk by Venkat Srinivasan, CEO of RAGE Frameworks, focuses on successful applications of AI in the Enterprise. We start with a broad and more inclusive definition of AI in the context of enterprise business processes.
We introduce a taxonomy of AI solution methods that broaden the focus beyond a narrow focus on deep learning based on neural nets. In line with the taxonomy, we present several successful AI applications in use today at major corporations across industries including financial services, manufacturing/retail, professional services, logistics. These applications range from commercial lending, contract review, customer service intelligence, market and competitive intelligence, signals for capital markets, regulatory compliance and others.
The Hive Think Tank: Unpacking AI for Healthcare The Hive
In this The Hive Think Tank talk, Ash Damle, CEO of Lumiata takes a deep dive into Lumiata’s core technological engine - the Lumiata Medical Graph, which applies graph-based machine learning to compute the complex relationships between health data in the same way that a physician would, and how this medical AI engine powers personalization and automation within risk and care management.
AI can be beneficial in a variety of ways, but it also has a number of drawbacks and risks that must be addressed. Discover the dangers and risks of AI.
Responsible Artificial Intelligence (AI): Overview of AI Risks, Safety & Gove...Sarasadat Makian
Responsible Artificial Intelligence (AI): Overview of AI Risks, Safety & Governance
2024
Comprehensive report to guide responsible AI practices from World Travel & Tourism Council in partnership with global technology leader Microsoft.
Discover how to:
Identify and mitigate AI risks like bias and job displacement.
Implement ethical principles for AI safety and oversight.
Stay informed on the latest AI policies and regulations.
AI for Nonprofits_Exploring the News_ Creative Use and ChallengesCynthia Calongne
AI for Nonprofits, a presentation by Dr. Cynthia Calongne for the Nonprofit Commons in Second Life. Features benefits, challenges, and AI news to illustrate ethical and safe use of AI for nonprofit organizations.
A Journey Towards Trustworthy AI (#AIFightsBack webinar)Ruth Kearney
Everyone has a part to play to make sure responsible and trustworthy AI solutions are delivered. Technologist Clare Dillon uncovers some thought-provoking examples of AI "fails". She also shares practical tips and insights into how to avoid the potential ethical pitfalls associated with building or buying AI applications.
But, as Musk’s above-quoted statement suggests, the rise of AI has so far occurred in a regulatory vacuum. With the exception of a few states’ passage of legislation regarding autonomous vehicles and drones, very few laws or regulations exist that specifically address the unique challenges raised by artificial intelligence, and virtually no courts appear to have developed standards specifically addressing who should But, as Musk’s above-quoted statement suggests, the rise of AI has so far occurred in a regulatory vacuum. With the exception of a few states’ passage of legislation regarding autonomous vehicles and drones, very few laws or regulations exist that specifically
address the unique challenges raised by artificial intelligence, and virtually no courts appear to have developed standards specifically addressing who should be held legally responsible if an AI causes harm.
A presentation on the developments in the field of ARITFICIAL INTELLIGENCE and should we as human beings worry about these developments.
Please download and view the presentation for viewing it with full functionality(like the embedded video on 5th slide)
LinkedIN : linkedin.com/in/ritwik-mishra-99997022a
The NFAIS Foresight Webinar - Artificial Intelligence: Weighing the Value for the Information Community, given by Bohyun Kim.
https://www.niso.org/events/2019/09/nfais-foresight-artificial-intelligence-weighing-value-information-community
IS AI IN JEOPARDY? THE NEED TO UNDER PROMISE AND OVER DELIVER – THE CASE FOR ...csandit
There has been a dramatic increase in media interest in Artificial Intelligence (AI), in particular
with regards to the promises and potential pitfalls of ongoing research, development and
deployments. Recent news of success and failures are discussed. The existential opportunities
and threats of extreme goals of AI (expressed in terms of Superintelligence/AGI and Socio-
Economic impacts) are examined with regards to this media “frenzy”, and some comment and
analysis provided. The application of the paper is in two parts, namely to first provide a review
of this media coverage, and secondly to recommend project naming in AI with precise and
realistic short term goals of achieving really useful machines, with specific smart components.
An example of this is provided, namely the RUMLSM project, a novel AI/Machine Learning
system proposed to resolve some of the known issues in bottom-up Deep Learning by Neural
Networks, recognised by DARPA as the “Third Wave of AI.” An extensive, and up to date at the
time of writing, Internet accessible reference set of supporting media articles is provided.
Artificial Intelligence A Study of Automation, and Its Impact on Data Scienceijtsrd
AI is changing the exceptionally nature of work and information science is no special case. Will the more high demand specialized aptitudes of nowadays be required ten a long time from presently. How will the information science teach advance to meet the trade needs of a commercial center with ever increasing applications of AI. Mussaratjahan Korpali | Akshata Walikar | Kaveri Parshuram Vijapur "Artificial Intelligence: A Study of Automation, and Its Impact on Data Science" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-6 | Issue-2 , February 2022, URL: https://www.ijtsrd.com/papers/ijtsrd49316.pdf Paper URL: https://www.ijtsrd.com/engineering/electrical-engineering/49316/artificial-intelligence-a-study-of-automation-and-its-impact-on-data-science/mussaratjahan-korpali
Is Artificial Intelligence Dangerous? 6 AI Risks Everyone Should Know AboutBernard Marr
Discussions about artificial intelligence often focus on its positive impacts for society while disregarding the more difficult and less-popular idea that AI could also potentially be dangerous. Just like any powerful tool, AI can be used for good and bad. Here are a few AI risks everyone should know about.
Like electricity or the steam engine, Artificial Intelligence (AI) is a true general purpose technology: It can be used to drive economic gains, but also to project hard and soft power. Its widespread adoption will irrevocably change the international order as its effects on welfare, trade and defense transcend national boundaries.
In this keynote speech, Simon Mueller, Expert on AI Governance and Executive Director of the AI Initiative of The Future Society, will provide perspective on the range of issues, speak about current dynamics and discuss options to address emerging challenges.
Até aqui experimentamos apenas os efeitos iniciais de tecnologias (big data, inteligência artificial, etc) que transformarão as relações sociais, econômicas, políticas e geopolíticas, em escala global, nas próximas décadas. Estamos às portas de um mundo novo, difícil de antever.
Que oportunidades e riscos as novas tecnologias acarretam para a democracia, a segurança, a paz e o desenvolvimento?
Para identificar e compreender os desafios dessa mudança de época, a Fundação FHC receberá Lindsay Gorman, especialista em tecnologias emergentes do German Marshall Fund of the United States, um dos principais think tanks globais, com presença nos Estados Unidos e na Europa.
LINDSAY GORMAN
Bacharel em Física (Princeton University) com mestrado em Física Aplicada (Stanford University), é Fellow de tecnologias emergentes da Alliance for Securing Democracy e integra o time de especialistas do German Marshall Fund (GMF). Administrou a Politech Advisory, que realiza consultoria em tecnologia (Inteligência Artificial e FinTech) e foi membra adjunta do Programa de Políticas Tecnológicas do CSIS, think tank baseado em Washington. Trabalhou no Senado dos EUA, no Escritório de Política Científica e Tecnológica da Casa Branca e na Academia Nacional de Ciências. Suas áreas de estudo e atuação são Inteligência Artificial, estatística de machine learning, materiais quânticos e cibersegurança, entre outras.
AI-SDV 2020: AI, IoT, Blockchain & Co: How to keep track and take advantage o...Dr. Haxel Consult
The presentation first addresses 6 key questions: Where do we stand with the diversification of AI? Machines are getting better at understanding - where are we with writing? Has AI Research hit a wall in 2020? What's the progress made in AI ethics? Could synthetically created data make AI cheaper? And: Are deep fake deployments of AI becoming more insidious? The presentation then moves on to discuss the 4th generation of AI: Artificial Intuition. It discusses the lines of effort in AI of the US Government and concludes with three actualities on AI-based decision making, COVID-loneliness detection and extrapolation of AI into the long run.
Key themes and learnings from SXSW Interactive 2017. Topics include the impact of social media, artificial intelligence, virtual reality, augmented reality, and blockchain on culture and society.
Similar to Social Impact & Ethics of AI by Steve Omohundro (20)
Quantum Computing (IBM Q) - Hive Think Tank Event w/ Dr. Bob Sutor - 02.22.18The Hive
Dr. Bob Sutor is Vice President for AI, Blockchain, and Quantum Solutions at IBM Research. In this role he is the R&D executive leading a large global group of scientists, software engineers, and designers who create and integrate leading edge science and technologies to give IBM's clients the most advanced solutions available. Our work is often mathematically-based and thus includes AI technologies like machine learning, deep learning, text and image analytics, statistics, predictive analytics, and optimization. Sutor co-leads the IBM Research effort to support IBM's commercial blockchain efforts with advanced innovations across a broad range of its embedded technologies. He leads the group developing the next generation software stack and algorithms for quantum computers.
Dr. Sutor has an undergraduate degree from Harvard College and a Ph.D. from Princeton University, both in Mathematics.
The Hive Think Tank: Rendezvous Architecture Makes Machine Learning Logistics...The Hive
Think Tank Event 10/23/2017, hosted by The Hive and presented by Ted Dunning, Chief Application Architect of MapR Technologies and Ellen Friedman of MapR Technologies.
The Hive Think Tank: Talk by Mohandas Pai - India at 2030, How Tech Entrepren...The Hive
Over the next 15 years, India's growth will be fueled by its startups. Today, there are over 20,000 startups in India that have created a value of $80 billion and employ 325,000 people. Over the next ten years, by 2025, there will be 100,000 startups in the country that would have created over $500 billion of value and employ 3.2 million people.
This talk is about India's growth over the next 15 years and the prominent role that entrepreneurs and startups will play in its rapid evolution.
The Hive Think Tank: The Content Trap - Strategist's Guide to Digital ChangeThe Hive
In this The Hive Think Tank talk Harvard Business School Professor of Strategy Prof. Bharat Anand shares his insights on the Digital innovation trends that are shaping the way organizations will act in the future.
In this talk, Professor Anand presents the findings from his forthcoming book. To answer these questions, Anand examines a range of businesses around the world, from Chinese internet giant Tencent to Scandinavian digital trailblazer Schibsted, from The New York Times to The Economist, and from talent management to the future of education.
The Hive Think Tank - The Microsoft Big Data Stack by Raghu Ramakrishnan, CTO...The Hive
Until recently, data was gathered for well-defined objectives such as auditing, forensics, reporting and line-of-business operations; now, exploratory and predictive analysis is becoming ubiquitous, and the default increasingly is to capture and store any and all data, in anticipation of potential future strategic value. These differences in data heterogeneity, scale and usage are leading to a new generation of data management and analytic systems, where the emphasis is on supporting a wide range of very large datasets that are stored uniformly and analyzed seamlessly using whatever techniques are most appropriate, including traditional tools like SQL and BI and newer tools, e.g., for machine learning and stream analytics. These new systems are necessarily based on scale-out architectures for both storage and computation.
Hadoop has become a key building block in the new generation of scale-out systems. On the storage side, HDFS has provided a cost-effective and scalable substrate for storing large heterogeneous datasets. However, as key customer and systems touch points are instrumented to log data, and Internet of Things applications become common, data in the enterprise is growing at a staggering pace, and the need to leverage different storage tiers (ranging from tape to main memory) is posing new challenges, leading to caching technologies, such as Spark. On the analytics side, the emergence of resource managers such as YARN has opened the door for analytics tools to bypass the Map-Reduce layer and directly exploit shared system resources while computing close to data copies. This trend is especially significant for iterative computations such as graph analytics and machine learning, for which Map-Reduce is widely recognized to be a poor fit.
While Hadoop is widely recognized and used externally, Microsoft has long been at the forefront of Big Data analytics, with Cosmos and Scope supporting all internal customers. These internal services are a key part of our strategy going forward, and are enabling new state of the art external-facing services such as Azure Data Lake and more. I will examine these trends, and ground the talk by discussing the Microsoft Big Data stack.
The Hive Think Tank - Design Thinking by Bernie Roth, Professor at Stanford U...The Hive
Bernie Roth is a founder of Stanford's d.school and author of The Achievement Habit: how to stop wishing, start doing, and take command of life.
Bernie brings to the d.school a wealth of experience in teaching design, an intimate knowledge of the functioning of Stanford University, and a worldwide reputation as a researcher in kinematics and robotics. Together with Doug Wilde and the late Rolf Faste, Bernie developed the concept of a Creativity Workshop. This has been offered to students, faculty and professionals around the world. These same techniques have been made available to d.school students and are described in his book The Achievement Habit. He has found that these types of learning experiences enhance students’ ability to make meaningful positive difference in their own lives. He is especially pleased that his activities at the d.school have contributed to creating an environment where students and coworkers get the tools and values for realizing the enduring satisfactions that come from assisting others in the human community.
The Hive Think Tank: Machine Learning at Pinterest by Jure LeskovecThe Hive
Machine learning is at the core of Pinterest. Pinterest personalizes and ranks 1B+ pins, 700+ million boards for 100M+ users all over the world, using data gathered from collaborative filtering, user curation, web crawling, and more. At Pinterest we model relationships between pins, handle cold-start problems and deal with real-time recommendations.
In this presentation Jure gave an overview of the problems and effective solutions developed at Pinterest. He focused on systems and effective engineering choices made to enable productive machine learning development and enable multiple engineers effectively develop, test, and deploy machine-learned models.
The Hive Think Tank: Sidechains by Adam Back, President of BlockstreamThe Hive
Over the last couple of years, blockchains have captured a significant mindshare of innovation in financial services, industrial Internet and digital commerce industries. The scope of applications of blockchain as a platform has long surpassed that of its origins in Bitcoin as a cryptocurrency technology. However, none of the new blockchain platforms has been able to reach Bitcoin's levels of scale, security and global reach. There have also been no standards to interoperate between different blockchain platforms for exchange of assets. In order to address these challenges, Sidechains were created as cryptographic systems that securely orchestrate exchange of information between different blockchains by leveraging the scale & maturity of the Bitcoin network. Sidechains are weaving a network of diverse blockchains to bring interoperability and Bitcoin’s scale & maturity. In this talk, Adam Back will talk about its role in building the decentralized world of blockchains.
The Hive Think Tank: Ceph + RocksDB by Sage Weil, Red Hat.The Hive
Rocking the Database World with RocksDB
Sage Weil, Ceph Principal Architect, Red Hat
Sage helped design Ceph as part of his graduate research at the University of California, Santa Cruz. Since then, he has continued to refine the system with the goal of providing a stable next generation distributed storage system for Linux.
Specialties: Distributed system design, storage and file systems, management, software development.
The Hive Think Tank: Rocking the Database World with RocksDBThe Hive
Dhruba Borthakur, Facebook
Dhruba Borthakur is an engineer at Facebook. He has been one of the founding engineer of RocksDB, an open-source key-value store optimized for storing data in flash and main-memory storage. He has been one of the founding architects of the Apache Hadoop Distributed File System and has been instrumental in scaling Facebook's Hadoop cluster to multiples of petabytes. Dhruba has contributed code to the Apache HBase project. Earlier, he contributed to the development of the Andrew File System (AFS). He has an M.S. in Computer Science from the University of Wisconsin, Madison and a B.S. in Computer Science BITS, Pilani, India.
The Hive Think Tank: Rocking the Database World with RocksDBThe Hive
Igor Canadi, Facebook
Igor is a software engineer at Facebook where his job is making databases more awesome. He recently graduated from University of Wisconsin-Madison with Masters degree in Computer Science. During his time at UW-M, he worked with prof. Paul Barford in the area of internet measurement and analysis. Igor got his undergraduate degree from University of Zagreb in Croatia. During his undergraduate years, he founded and developed a local non-profit organization that focuses on educating talented high-school students.
The Hive Think Tank: Stream Processing Systems by Nikita Shamgunov of MemSQLThe Hive
Nikita Shamgunov's presentation was part of a panel discussion on Stream Processing Systems on January 20th, 2016 led by Ben Lorica (O'Reilly Media) with panelists: Jay Kreps (Confluent), Karthik Ramasamy (Twitter), M.C. Srivas (MapR), Ram Sriharsha (Hortonworks).
The Hive Think Tank: "Stream Processing Systems" by Karthik Ramasamy of TwitterThe Hive
Karthik Ramasamy's presentation was part of a panel discussion on Stream Processing Systems on January 20th, 2016 led by Ben Lorica (O'Reilly Media) with panelists: Jay Kreps (Confluent), M.C. Srivas (MapR), Nikita Shamgunov (MemSQL), Ram Sriharsha (Hortonworks)
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.
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.
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
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.
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.
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
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.
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/
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
Knowledge engineering: from people to machines and back
Social Impact & Ethics of AI by Steve Omohundro
1. Social Impact and Ethics of AI
Steve Omohundro, Ph.D.
PossibilityResearch.com
SteveOmohundro.com
SelfAwareSystems.com
http://googleresearch.blogspot.com/2015/06/inceptionism-going-deeper-into-neural.html
5. AI Economy
AI Military
AI Society
Technological Unemployment
Increasing Inequality
Propaganda and Manipulation
Lethal Autonomous Weapons
Robot Terrorism
Decreased Barriers to War
Expanded Governance
Expanded Laws
Expanded Enforcement
http://orig04.deviantart.net/d4fc/f/2016/071/d/e/circuit_board_by_xxaries1970xx-d9ut9nd.jpg
11. 2010: Trillion Dollar Flash Crash
http://www.nanex.net/20100506/PercDrop1.png
Dow Industrials lost 9% in 36 minutes
Today: 50% of trades are automated HFT
13. Serial Bugs
Memory Leaks,Dangling
Pointers, Conversion Errors
http://orig04.deviantart.net/d4fc/f/2016/071/d/e/circuit_board_by_xxaries1970xx-d9ut9nd.jpg
Parallel Bugs
Security Bugs
Hardware Bugs
Machine Learning Bugs
AI Goal Bugs
AI Governance Bugs
Collective AI Bugs
Deadlocks, Race Conditions
Bad Encryption, Buffer Overflow
Rowhammer, Drammer,
Instruction Cache Leaks
Adversarial Examples,
Inscrutable Behavior
Unintended Consequences, Basic AI Drives
Loopholes, Manipulations
Crashes, Long Tails, Black Swans
14. Maslov Hierarchy - Dystopia
Self-
Actualization
Esteem
Social
Safety
Physiological
Self-Transcendance
Inequality, Scarcity
Technological Unemployment
Robot Warfare
Cyber-Terrorism
Social Disconnection
VR Porn
Human Obsolescence
Addiction
Greed
Loss of Meaning
http://sonomasun.com/wp-content/uploads/2016/08/dystopia.jpg
15. Maslov Hierarchy - Utopia
Self-
Actualization
Esteem
Social
Safety
Physiological
Self-Transcendance
Technological Abundance
Elimination of Drudgery
Peace Through Smart Contracts
Tools for Thriving
Human Connection
Tools for Creativity
Tools for Beauty
Networks of Inspiration
https://i.imgur.com/nxBWT4A.jpg
Tools for Contribution
17. AI and Human Safety
• The future is bright!
• Need governance!
• Need new ideas!
• Need new methods!
• Need AI startups!
https://spiritualmusclehead.files.wordpress.com/2014/11/justice.jpg