A fascinating View of the Artificial Intelligence Journey.
Ramón López de Mántaras, Ph.D.
Technical and Business Perspectives on the Current and Future Impact of Machine Learning - MLVLC
October 20, 2015
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/
Artificial intelligence (ai) will radically transform the way we do business in the future, and the way we live. That’s a strong statement, but i believe it’s true. Ai has many faces. As we are increasingly exposed to it, it’s important to understand what it can and can’t do and how companies can pivot wisely to this still evolving reality without overlooking the ethical, human and regulatory questions it raises.
A primer on Artificial Intelligence (AI) and Machine Learning (ML)Yacine Ghalim
Over the past couple of years, we found ourselves investing in 7 AI and ML enabled companies, in areas as diverse as marketing, credit scoring, recruitment, fertility tracking and so on. It appears that we’ve been among the most active European investors in what most people today still view as a “theme”. Most importantly, more and more of our other portfolio companies are starting to adopt these technologies in order to make their products better.
What follows is a presentation that we gave to our LPs at our most recent investor day in February. We tried to give them a primer on these technologies: what they are ; why we are all talking about them now ; and how we, at Sunstone, are thinking about investing in those companies.
This document provides an overview of artificial intelligence (AI) including what it is used for, how neural networks work, and skills needed for AI. It discusses that AI is used in many areas like online search, recommendations, smart cars, and more. Neural networks function by training on large amounts of labeled data to recognize patterns and make predictions. The skills needed for AI include using it as a consumer, producing with AI, building AI, using AI to augment work, and managing AI solutions. It also introduces CLWB.org which is focused on demystifying deep tech topics including AI for various age groups and locations.
This is a PPT which highlights the basics of artificial intelligence and how it works and will affect job scenario.
ai in drug discovery, artificial intelligence, artificial intelligence in drug discovery, deep learning, deep learning techniques, gan, generative adversarial network (gan), gpu, gpu (graphics processing unit)-, graphics processing units, machine learning, matconvent, nvidia, nvidia dgx-1, python, tensorflow, torche, IBM watson for drug discovery
machine learning in drug discovery, deep learning in drug discovery
A fascinating View of the Artificial Intelligence Journey.
Ramón López de Mántaras, Ph.D.
Technical and Business Perspectives on the Current and Future Impact of Machine Learning - MLVLC
October 20, 2015
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/
Artificial intelligence (ai) will radically transform the way we do business in the future, and the way we live. That’s a strong statement, but i believe it’s true. Ai has many faces. As we are increasingly exposed to it, it’s important to understand what it can and can’t do and how companies can pivot wisely to this still evolving reality without overlooking the ethical, human and regulatory questions it raises.
A primer on Artificial Intelligence (AI) and Machine Learning (ML)Yacine Ghalim
Over the past couple of years, we found ourselves investing in 7 AI and ML enabled companies, in areas as diverse as marketing, credit scoring, recruitment, fertility tracking and so on. It appears that we’ve been among the most active European investors in what most people today still view as a “theme”. Most importantly, more and more of our other portfolio companies are starting to adopt these technologies in order to make their products better.
What follows is a presentation that we gave to our LPs at our most recent investor day in February. We tried to give them a primer on these technologies: what they are ; why we are all talking about them now ; and how we, at Sunstone, are thinking about investing in those companies.
This document provides an overview of artificial intelligence (AI) including what it is used for, how neural networks work, and skills needed for AI. It discusses that AI is used in many areas like online search, recommendations, smart cars, and more. Neural networks function by training on large amounts of labeled data to recognize patterns and make predictions. The skills needed for AI include using it as a consumer, producing with AI, building AI, using AI to augment work, and managing AI solutions. It also introduces CLWB.org which is focused on demystifying deep tech topics including AI for various age groups and locations.
This is a PPT which highlights the basics of artificial intelligence and how it works and will affect job scenario.
ai in drug discovery, artificial intelligence, artificial intelligence in drug discovery, deep learning, deep learning techniques, gan, generative adversarial network (gan), gpu, gpu (graphics processing unit)-, graphics processing units, machine learning, matconvent, nvidia, nvidia dgx-1, python, tensorflow, torche, IBM watson for drug discovery
machine learning in drug discovery, deep learning in drug discovery
These slides are the summary of y presentation on A.I. In Africa: Perspectives and Challenges during the Conference organized by MBCode Consulting Group under the theme: where is Africa on the map of AI?. The goal was to evangelize and raise awareness among the youth about A.I. and how it applies on the continent, and also the necessity to invest time on that direction
A slide deck that supported my recent university lectures during this autumn in Italy (Polytechnic of Bari), Switzerland (EPFL Lausanne) and Poland (SWPS University Warsaw).
It introduces Artificial Intelligence from a business perspective, talks about the need to have a more robust AI tools with AI Ethics and Trust and eventually presents future trajectories such as the Active Intelligence frontier.
5 Important Artificial Intelligence Predictions (For 2019) Everyone Should ReadBernard Marr
Artificial intelligence (AI), machine learning and deep learning have made huge strides in 2018. In this post we look at some of the key AI predictions for 2019, where is will be used, how it will make the biggest impact, as well as the key challenges we have to address.
Will robots take our jobs (short version) for Women Techmakers TalkAva Meredith
The document discusses how robots and AI will impact jobs. It finds that 7.1 million jobs will be lost by 2020 due to automation, but 2.1 million new jobs will be created, resulting in a net loss of over 5 million jobs. While demand for software developers is high, AI can automate coding and system administration tasks. Most industries will face skills disruptions. To prepare for the future of work, people will need math and soft skills, as well as skills in technical project management, AI programming, data science, and mobile and cloud development. Education systems will need to be rethought to encourage lifelong learning.
AI driven automation will create wealth and expand economies. Find out the views of the Executive Office of the US President in this AI Government led initiative.
Will robots take our jobs? A report from the World Economic Forum found that while 7.1 million jobs may be lost due to automation, 2.1 million new jobs will be created, resulting in a net loss of over 5 million jobs by 2020 across major economies. The drivers of increased robotization include technological advances in areas like machine learning, 3D printing, and quantum computing, as well as the increased productivity, lower costs, and improved safety that robots provide compared to human workers. Nearly every industry like transportation, farming, healthcare, and IT will be impacted. Proposed solutions include retraining workers, incentivizing lifelong learning, and political actions like a universal basic income.
Artificial intelligence (AI) and machine learning (ML) are undergoing revolutionary changes that will affect wide swaths of our society. And the applications of this technology are increasingly diverse. Join us as we narrow in on how researchers in AL and ML are using AWS to identify and prevent financial market manipulation in a high-volume, high-velocity stock market. We also explore how to use natural language processing to aid emergency response organizations in real time during deadly disasters, such as during hurricanes and catastrophic wildfires.
Issues on Artificial Intelligence and Future (Standards Perspective)Seungyun Lee
This document provides an overview of artificial intelligence standards. It begins with a brief history of AI and discusses some of the major issues with AI, including bias, lack of oversight, and safety concerns. It then examines the need for AI standards in areas like interoperability, security, privacy, and ethics. The document reviews related standardization activities from organizations like IEEE, ISO, IEC, and ITU. It analyzes the results of a JTC 1 survey that identified interoperability, domains, and security as top priority areas for AI standards. Finally, it recommends that JTC 1 urgently develop standards for AI to help guide its development and application in a safe, fair, and beneficial manner.
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?
The document discusses cognitive computing and the future of artificial intelligence. It describes how by 2018, half of all consumers will regularly interact with services based on cognitive technologies. It then provides an overview of IBM's research into cognitive computing, including the development of early AI systems, deep learning, natural language processing, machine vision, and brain-inspired systems like SyNAPSE. The document outlines IBM's vision of a future where cognitive systems can assist humans by interpreting medical images, recognizing speech, providing recommendations, and engaging in conversational interactions.
The most significant (not purely scientific) results in AI in the last year (2018-2019).
Disclaimer: may be very subjective :)
Slides to the set of lectures given in Feb-Apr 2019.
This one was conducted in Atlas Biomed Group, 2019-04-26
Artificial Intelligence (AI) and Job LossIkhlaq Sidhu
The arguments of job displacement, economic growth, and policy arguments related to artificial intelligence, data, algorithms, and automated technologies.
Will artificial intelligence replace programmersMaciej Dziergwa
Artificial intelligence can compose songs, paint pictures, help in cancer therapy, drive cars and play games. It’s also starting to write code.
Does it mean that the days of human programmers are already numbered? Will software engineering be automated?
AI Basic, AI vs Machine Learning vs Deep Learning, AI Applications, Top 50 AI Game Changer Solutions, Advanced Analytics, Conversational Bots, Financial Services, Healthcare, Insurance, Manufacturing, Quality & Security, Retail, Social Impact, and Transportation & Logistics
Leading into the Future: the most important things you need to know about the...Gerd Leonhard
This deck comprises the best scenes from my last 10 keynotes and presentations, using my new graphics and animations, riffing on topics such as exponential change, the 8 game changers, technology vs humanity, digital ethics and more - check out a list of my general topics here: https://www.futuristgerd.com/topics/current-topics/
Governance of the Transition from Artificial Narrow Intelligence to Artificia...Jerome Glenn
IEEE Sensors 2019 conference in Montreal presentation: Brief overview of "Conscious-Technology" and related future AI issues with focus on exploring future governance of the transition from artificial narrow to artificial general intelligence.
Government as a Platform and the Digital Front DoorTim O'Reilly
My keynote at the National Association of Govenrment Web Professionals (NAGW) in Albuquerque on September 23, 2015. I talk about government as a platform, but also about the Code for America Digital Front Door process for building a user-centric website. Be sure to read the notes, which contain the text of the talk.
The Impact of Robots and Automation on the Future of EmploymentNabeel Amanat
Summarizing the conference attended in Gulf Hotel, Bahrain on 14th and 15th of march 2018, organized by Polytechnic University Bahrain
Conclusion: The conclusion for this conference was to adapt to changes as per the change in the environment and enhancing innovated technology, software skills to your profile.
One example,
Dr. Ihsan Taie (Chief Technologist O&G Network Integrity R&D Division Saudi Aramco)
PHD in Chemicals but developed a department in Aramco related to IT where he hired individual with different specialization in IT field to create and develop robots to reduce risk and maintenance cost
From Hype to Impact: Applying This Year's SXSW Highlights to Business Transfo...Publicis Sapient
Three of our global thought leaders explore the most coveted topics at SXSW, practical applications to our clients’ business (and our own), and how SapientRazorfish takes these highlights from hype to reality.
Whether you were in Austin or not, top trends are not difficult to find. Which is why we’re taking it a step further. Not only have we shared our takeaways from this year’s sessions, but we've also examined how the conversations at SXSW relate to business reimagined for a connected world.
This document discusses smart cities and how AWS can help enable them. It outlines the evolution of smart cities from version 1.0 with the emergence of IoT technologies and data to version 2.0 with a citizen-centric and data-driven approach. It also describes some of the key technologies involved, including IoT, data lakes, artificial intelligence, and how AWS services can provide tools for machine learning, data analytics, and citizen services using technologies like voice and augmented reality.
These slides are the summary of y presentation on A.I. In Africa: Perspectives and Challenges during the Conference organized by MBCode Consulting Group under the theme: where is Africa on the map of AI?. The goal was to evangelize and raise awareness among the youth about A.I. and how it applies on the continent, and also the necessity to invest time on that direction
A slide deck that supported my recent university lectures during this autumn in Italy (Polytechnic of Bari), Switzerland (EPFL Lausanne) and Poland (SWPS University Warsaw).
It introduces Artificial Intelligence from a business perspective, talks about the need to have a more robust AI tools with AI Ethics and Trust and eventually presents future trajectories such as the Active Intelligence frontier.
5 Important Artificial Intelligence Predictions (For 2019) Everyone Should ReadBernard Marr
Artificial intelligence (AI), machine learning and deep learning have made huge strides in 2018. In this post we look at some of the key AI predictions for 2019, where is will be used, how it will make the biggest impact, as well as the key challenges we have to address.
Will robots take our jobs (short version) for Women Techmakers TalkAva Meredith
The document discusses how robots and AI will impact jobs. It finds that 7.1 million jobs will be lost by 2020 due to automation, but 2.1 million new jobs will be created, resulting in a net loss of over 5 million jobs. While demand for software developers is high, AI can automate coding and system administration tasks. Most industries will face skills disruptions. To prepare for the future of work, people will need math and soft skills, as well as skills in technical project management, AI programming, data science, and mobile and cloud development. Education systems will need to be rethought to encourage lifelong learning.
AI driven automation will create wealth and expand economies. Find out the views of the Executive Office of the US President in this AI Government led initiative.
Will robots take our jobs? A report from the World Economic Forum found that while 7.1 million jobs may be lost due to automation, 2.1 million new jobs will be created, resulting in a net loss of over 5 million jobs by 2020 across major economies. The drivers of increased robotization include technological advances in areas like machine learning, 3D printing, and quantum computing, as well as the increased productivity, lower costs, and improved safety that robots provide compared to human workers. Nearly every industry like transportation, farming, healthcare, and IT will be impacted. Proposed solutions include retraining workers, incentivizing lifelong learning, and political actions like a universal basic income.
Artificial intelligence (AI) and machine learning (ML) are undergoing revolutionary changes that will affect wide swaths of our society. And the applications of this technology are increasingly diverse. Join us as we narrow in on how researchers in AL and ML are using AWS to identify and prevent financial market manipulation in a high-volume, high-velocity stock market. We also explore how to use natural language processing to aid emergency response organizations in real time during deadly disasters, such as during hurricanes and catastrophic wildfires.
Issues on Artificial Intelligence and Future (Standards Perspective)Seungyun Lee
This document provides an overview of artificial intelligence standards. It begins with a brief history of AI and discusses some of the major issues with AI, including bias, lack of oversight, and safety concerns. It then examines the need for AI standards in areas like interoperability, security, privacy, and ethics. The document reviews related standardization activities from organizations like IEEE, ISO, IEC, and ITU. It analyzes the results of a JTC 1 survey that identified interoperability, domains, and security as top priority areas for AI standards. Finally, it recommends that JTC 1 urgently develop standards for AI to help guide its development and application in a safe, fair, and beneficial manner.
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?
The document discusses cognitive computing and the future of artificial intelligence. It describes how by 2018, half of all consumers will regularly interact with services based on cognitive technologies. It then provides an overview of IBM's research into cognitive computing, including the development of early AI systems, deep learning, natural language processing, machine vision, and brain-inspired systems like SyNAPSE. The document outlines IBM's vision of a future where cognitive systems can assist humans by interpreting medical images, recognizing speech, providing recommendations, and engaging in conversational interactions.
The most significant (not purely scientific) results in AI in the last year (2018-2019).
Disclaimer: may be very subjective :)
Slides to the set of lectures given in Feb-Apr 2019.
This one was conducted in Atlas Biomed Group, 2019-04-26
Artificial Intelligence (AI) and Job LossIkhlaq Sidhu
The arguments of job displacement, economic growth, and policy arguments related to artificial intelligence, data, algorithms, and automated technologies.
Will artificial intelligence replace programmersMaciej Dziergwa
Artificial intelligence can compose songs, paint pictures, help in cancer therapy, drive cars and play games. It’s also starting to write code.
Does it mean that the days of human programmers are already numbered? Will software engineering be automated?
AI Basic, AI vs Machine Learning vs Deep Learning, AI Applications, Top 50 AI Game Changer Solutions, Advanced Analytics, Conversational Bots, Financial Services, Healthcare, Insurance, Manufacturing, Quality & Security, Retail, Social Impact, and Transportation & Logistics
Leading into the Future: the most important things you need to know about the...Gerd Leonhard
This deck comprises the best scenes from my last 10 keynotes and presentations, using my new graphics and animations, riffing on topics such as exponential change, the 8 game changers, technology vs humanity, digital ethics and more - check out a list of my general topics here: https://www.futuristgerd.com/topics/current-topics/
Governance of the Transition from Artificial Narrow Intelligence to Artificia...Jerome Glenn
IEEE Sensors 2019 conference in Montreal presentation: Brief overview of "Conscious-Technology" and related future AI issues with focus on exploring future governance of the transition from artificial narrow to artificial general intelligence.
Government as a Platform and the Digital Front DoorTim O'Reilly
My keynote at the National Association of Govenrment Web Professionals (NAGW) in Albuquerque on September 23, 2015. I talk about government as a platform, but also about the Code for America Digital Front Door process for building a user-centric website. Be sure to read the notes, which contain the text of the talk.
The Impact of Robots and Automation on the Future of EmploymentNabeel Amanat
Summarizing the conference attended in Gulf Hotel, Bahrain on 14th and 15th of march 2018, organized by Polytechnic University Bahrain
Conclusion: The conclusion for this conference was to adapt to changes as per the change in the environment and enhancing innovated technology, software skills to your profile.
One example,
Dr. Ihsan Taie (Chief Technologist O&G Network Integrity R&D Division Saudi Aramco)
PHD in Chemicals but developed a department in Aramco related to IT where he hired individual with different specialization in IT field to create and develop robots to reduce risk and maintenance cost
From Hype to Impact: Applying This Year's SXSW Highlights to Business Transfo...Publicis Sapient
Three of our global thought leaders explore the most coveted topics at SXSW, practical applications to our clients’ business (and our own), and how SapientRazorfish takes these highlights from hype to reality.
Whether you were in Austin or not, top trends are not difficult to find. Which is why we’re taking it a step further. Not only have we shared our takeaways from this year’s sessions, but we've also examined how the conversations at SXSW relate to business reimagined for a connected world.
This document discusses smart cities and how AWS can help enable them. It outlines the evolution of smart cities from version 1.0 with the emergence of IoT technologies and data to version 2.0 with a citizen-centric and data-driven approach. It also describes some of the key technologies involved, including IoT, data lakes, artificial intelligence, and how AWS services can provide tools for machine learning, data analytics, and citizen services using technologies like voice and augmented reality.
Dull, Difficult, and Essential: Managing Public RecordsPaul W. Taylor
Keynote to the 2015 Texas eRecords Conference: The unique attribute of public records cannot be overstated: Government is the holder of the singular, authoritative record to which all others refer. As the universe of public records grows in volume, complexity, and variety, policy makers and practitioners are in an unenviable position of managing it all. They are at the nexus of open and big data at a moment when analytics and other technologies hold promise for unlocking both public and private value. The addition of new forms of records - social media, sensors, and both dash and body cams - challenges old practices and assumptions while bringing new urgency to long-standing public policy debates around privacy and security.
NYAI #13: "AI and Business Transformation" - Josh SuttonMaryam Farooq
"AI & Business Transformation" - Josh Sutton (Global Head of Data & AI, Publicis.Sapient)
Presented at NYAI #13 - AI & Enterprise on Tues, 6/20/17 at Rise New York.
Presented by New York Artificial Intelligence (NYAI).
The document discusses how Newport City Council in Wales deployed an Internet of Things (IoT) platform from AWS Marketplace to create a smart city initiative called the Newport Intelligence Hub. The IoT platform allowed the city to connect sensors and create a unified dashboard to help with flood control, waste management, and air quality monitoring. The platform provided benefits like being able to deploy the solution in weeks instead of months, start with a few sensors and scale as needed, and experiment at low cost and risk. The smart city initiative helped the city improve services for its 300,000 citizens in a cost-effective manner.
The document provides an overview of trends impacting government agencies and discusses strategies for the future. It covers the following key points in 3 sentences:
It summarizes current trends among various types of government agencies like housing authorities, park districts, and transit agencies in areas like broadband, data analytics, and drones. It then discusses shifting societal, organizational, and individual trends and potential future trends related to infrastructure, automation, redefining work, and experiencing government. It concludes by offering tactics for government agencies to operate like exponential organizations by innovating, focusing on experiences, finding partners, and being prepared to change.
Building a Cognitive Business – Josh Sutton, SapientRazorfish Data & Artifici...Publicis Sapient
AI is going to disrupt nearly every industry at a faster pace than we have ever seen. Tomorrow’s success stories will be those firms that became a cognitive business. At the AI Summit in London, Josh Sutton, SapientRazorfish's Data & Artificial Intelligence Practice Lead, presented pragmatic, real world approaches for identifying meaningful uses for AI in organizations and covered how to build a cognitive platform inclusive of technology, experience, and change management that avoids creating silos and demonstrates meaningful business value.
"H-factor Human Amplification". Talk at Social Media Week 2016 - Milan - Piet...Pietro Leo
Pietro Leo shared insights on digital transformation, artificial intelligence, and cognitive computing. He noted that 63% of CEOs will increase investment in digital in 2015 to survive, investment in fintech companies has increased 10x in the past 5 years, and AI patents have more than tripled in 10 years. Leo emphasized that wisdom is needed to help cope with cognitive overload as data and insights expand exponentially. IBM's Watson platform can help scale expertise and expand what's possible through cognitive computing.
This document presents a maturity model for artificial intelligence adoption in enterprises. It outlines four stages of maturity: exploring, experimenting, formalizing, and integrating. It also discusses four macro trends affecting AI success: the shift from screen-based to sensory interactions; from rules-based to probabilistic decision making; from data analytics to data engineering; and from expertise-driven to data-driven leadership. Key aspects of maturity include having a data strategy, using AI in product development, establishing ethics principles, and integrating AI throughout the organization.
Simon Harrison RWE - Chain of Things 010616 finalSimon Harrison
This document discusses the need for security in the Internet of Things (IoT). It provides background on IoT, including key events in its development over time. It then discusses some of the security risks associated with IoT, including risks to confidentiality, integrity, availability and non-repudiation. Potential threat actors like criminals, mischief-makers, terrorists and discontented individuals are also outlined. The document argues that as more things become connected, security needs to be a higher priority early in the design process.
Artificial Intelligence refers to the simulation of human intelligence in the machines that are programmed to think like humans and mimic their actions.
AI is based on the principle that human intelligence can be defined in a way that a machine can easily mimic it and execute tasks from the simplest to those that are even more complex.
When most people hear the term artificial intelligence, the first thing they usually think of is robots. That's because big-budget films and novels weave stories about human-like machines that wreak havoc on Earth. But nothing could be further from the truth. Artificial intelligence is based on the principle that human intelligence can be defined in a way that a machine can easily mimic it and execute tasks, from the most simple to those that are even more complex. The goals of artificial intelligence include mimicking human cognitive activity. Researchers and developers in the field are making surprisingly rapid strides in mimicking activities such as learning, reasoning, and perception, to the extent that these can be concretely defined. Some believe that innovators may soon be able to develop systems that exceed the capacity of humans to learn or reason out any subject. But others remain skeptical because all cognitive activity is laced with value judgments that are subject to human experience.
As technology advances, previous benchmarks that defined artificial intelligence become outdated. For example, machines that calculate basic functions or recognize text through optical character recognition are no longer considered to embody artificial intelligence, since this function is now taken for granted as an inherent computer function.
Telecom customer services appear to be stuck in the early 20th Century with the telephone call the primary channel for service provision that can take days to affect. Compare that to Google, Amazon, IBM, Apple and other modern companies where customers control service provision by the minute or second.
Modem business is driven by the accumulation of customer data, but the Telecom Industry sees vast amounts of customer-related data dormant and untapped. As a result, many new opportunities are lost. For example, the behavior of people, devices, systems, and networks give the earliest indicators of potential security problems.
OTT operators exploit networks and make far greater profits than any other sector and this might be further amplified by the roll-out of 5G. But without a fundamental rethink of FTTP, 5G will fail to deliver sufficient coverage and the advertised data rates. This pending failure is already seeing alternative solutions from outside the industry along with the realization that most ‘things’ on the IoT will never connect to the internet!
Dark Side of Artificial Intelligence (1).pdfinfosec train
While artificial intelligence (AI) has brought about many positive advancements, there are also concerns and challenges associated with its development and deployment. Here are some of the "dark side" aspects of artificial intelligence:
Artificial intelligence is being increasingly used by governments for surveillance through tools like facial recognition, smart cities, and policing. Over 75 countries use AI for surveillance, with China having the largest implementation that collects facial data from cameras. AI is also impacting economies by automating many jobs and potentially exacerbating wealth inequality. It could create new jobs but may replace workers and reduce tax revenue. The future effects of AI are uncertain but it is rapidly transforming society and influencing various industries and how we interact with technology. Governments are also using social media data and personality profiles to target political ads and influence elections.
APD along with partners IBM and Australia Post, hosted ‘Best of the Next’, an event which brought industry leaders and clients together to discuss innovation in the face of digital disruption, and what businesses can do to capitalise on these trends.
The topics discussed by APD’s own Chief Transformation Officer, Inês Almeida and CEO, Scott Player included:
• Artificial Intelligence: Hopes and Fears in Perspective
• The Impact of 5G and Greater Connectivity
• Privacy and security after the Facebook uproar: self-sovereign ID, advertising and Blockchain
Guest speakers Tung Nguyen and Cameron Gough from Australia Post presented their latest innovation around Digital ID.
For more information visit: http://www.apdgroup.com/bestofthenext/
This document provides an overview of 5 technology trends to watch in 2015 according to the Consumer Electronics Association (CEA). It summarizes each trend in 1-2 sentences:
1. Big Data Analytics - With the rise of sensors, devices and digital connectivity, massive amounts of data are being collected and analyzed to provide predictive insights.
2. Digital Health and the Quantified Self - Technologies like wearables, apps and remote monitoring devices allow people to quantify biological metrics to track health and fitness.
3. Entertainment and Immersive Content - Advances in displays, processing power and connectivity enable new immersive entertainment experiences through virtual and augmented reality.
4. The Rise of the Machines - Robot
Edelman’s 2019 Artificial Intelligence (AI) Survey compares the U.S. general public’s perceptions of AI with those of senior tech executives who have a front row seat on AI development and deployment.
Respondents in both survey groups clearly see the potential upsides of AI, but also significant problems; 60 percent of the general public and 54 percent of tech executives agree that regulation of AI is critical for its safe development.
While 91 percent of tech executives and 84 percent of the general public believe that AI constitutes the next technology revolution, there are very real concerns about its impact on society, business and government. These range from smart toys that could invade children’s privacy to negative impacts on the poor to a loss of human intellectual capabilities.
About a third of both groups believe AI-powered “deepfake” videos (videos or audio recordings that are doctored to alter reality) could lead to an information war that, in turn, might lead to a shooting war (30 percent of the general population; 33 percent of tech executives).
Among the key findings:
54 percent of the general public and 43 percent of tech executives say AI will hurt the poor, and 67 percent and 75 percent, respectively, believe it will benefit the wealthy;
71 percent of the general public and 65 percent of tech executives worry that AI will lead to a loss of human intellectual capabilities;
74 percent of the general population and 72 percent of tech executives say that smarter AI-powered devices will lessen the need for people to interact with others, leading to more isolation;
81 percent within the general population and 77 percent of tech executives believe that advances in AI will likely cause a reactionary response from a society that feels threatened;
51 percent of the general population and 45 percent of tech executives state that AI-powered deepfake videos could mean that no information is believable and that they are highly corrosive to public trust.
The research was developed by the Edelman AI Center of Expertise with input from the World Economic Forum.
This document appears to be a list of tips for creating podcasts. The tips include focusing on a specific topic rather than trying to cover everything, listening to your audience before speaking, starting with a low-budget approach, making the podcast accessible by getting it onto listeners' devices, ensuring good sound quality, using an eye-catching cover image as a first impression, tapping into community feedback, asking follow up questions to extend the discussion, only making episodes as long as needed, and being authentic or risk someone else filling that role. The document ends with an encouragement that podcasting skills improve with practice and a reference to a question and answer session.
The Equipt to Innovate(tm) Lightning Round: Governing's Government Performanc...Paul W. Taylor
A seven part Pecha Kucha based on a new Living Cities framework for high performing government, created and presented by public sector practitioners:
- Dynamically Planned (Theresa Reno-Weber, Chief of Performance & Technology, Louisville Metro Government - @RenoWeber)
- Broadly Partnered (Tawanna Black, Executive Director, Northside Funders Group - @NorthsideFndrs)
- Resident-Involved (Oswaldo Mestre, Jr., Director of Citizen Services & Chief Service Officer, City of Buffalo, New York)
- Race-Informed (Glenn Harris, President, Center for Social Inclusion (CSI), New York, New York - @theCSI)
- Smartly Resourced (Rick Cole, City Manager, City of Santa Monica, California - @SaMoCole)
- Employee-Engaged (Kirsten Wyatt, Executive Director, Engaging Local Government Leaders - @ELGL50)
- Data-Driven (Daro Mott, MPA, MUP, PMP, Chief Innovation Officer, Cuyahoga County, Ohio - @daromott)
Envision 2016 State of the Industry: Public Sector IT (US)Paul W. Taylor
This document discusses trends in government technology including a move to cloud-based services, open data and analytics, cybersecurity challenges, and the importance of citizen engagement. It notes governments are using new technologies like smart phones, cloud services, and APIs to better connect with citizens and improve services. The focus is on how technology is evolving to help governments operate more efficiently and effectively serve constituents.
UST Holloran Center and SLLF: Technological, societal, and behavioral changes...Paul W. Taylor
Presentation to the State Legislative Leaders Foundation (SLLF)
and the Holloran Center for Ethical Leadership's Professions 2015 Upper Midwest Ethics & Leadership Summit (University of St. Thomas School of Law)
The Future of Education: There is No Easy ButtonPaul W. Taylor
A look around the corner in four memos:
Re: Form
The Policy and Economic Context of Education and Learning
Re: Shape
Technology and the Rise of Personalized Learning
Re: New
Changing Institutions to Face the Learner
(Charters, collaboration, and rebooting the system)
Re: Create
Learners Hacking Education for Themselves
(Education as the next big data startup)
This document summarizes a philanthropic effort called the City Accelerator. The City Accelerator is a $3 million, 3-year program that will work with cities in 3 cohorts over 18 months each to address challenges like building a culture of innovation and improving civic engagement. It will provide coaching, technical assistance, and resources to help cities design experiments and share best practices through municipal guidebooks. Eligible cities are members of the Project on Municipal Innovation and will apply and present ideas to be selected for the program. The goal is to bring together different sectors to address major problems and achieve large-scale results.
Records Management: The Future is Not What it Used to BePaul W. Taylor
This document summarizes key topics from the NASS Digital Records Forum in Seattle on May 2, 2015. It discusses how the environment for records management is changing with new technologies, platforms, data types, and opportunities. Specifically, it addresses challenges around managing big data, open data, social media records, video and audio records, and ensuring records have authenticity, comprehensiveness, and context for the future. It also covers increasing security risks and how governments can build civic technology partnerships to better serve citizens.
Breach: When Bad Things Happen to Good GovernmentsPaul W. Taylor
This document discusses cybersecurity challenges faced by governments and lessons learned. It covers common cyber threats like breaches, hacks and malware. It notes that cybersecurity is the top priority of state, county and city CIOs according to a survey. Case studies are presented of cyber attacks on Missouri state government in response to events in Ferguson. The document advocates preparing for security incidents, having response plans and monitoring social media. Lessons are provided for various roles on cybersecurity best practices.
Breach: When Bad Things Happen to Good GovernmentsPaul W. Taylor
This document summarizes lessons learned from cybersecurity incidents experienced by governments. It discusses how cyber attacks and data breaches are inevitable risks that governments must prepare for. The key lessons are to understand hacktivism motives and methods, assess network infrastructure and prioritize assets, establish an emergency response plan, integrate security operations, remain adaptable to incidents, and promote cybersecurity awareness across all levels of government agencies and the general public. Cybersecurity requires an ongoing, collaborative effort to manage risks.
This document summarizes a presentation on IT transformation. It discusses how transformation has progressed from being aspirational for government in the late 1990s to more achievable today. It also discusses how civic hacking provides a model for problem solving through crowdsourcing and challenges. Civic hacking brings together citizen coders, non-profits, agencies, and startups to collaboratively solve community issues. Examples are provided of civic hacking projects focused on issues like credit card fees, open data, and fiscal transparency. The presentation argues government should adopt strategies like civic hacking to engage citizens in collaborative problem solving.
Dealing with (and Avoiding) the #SocialMediaFailPaul W. Taylor
This document summarizes various statistics and information related to social media use. It discusses how social media amplifies voices, increases scrutiny on public officials, and can lead to social media fails. It provides guidance on developing social media policies for government that address acceptable use, records retention, and oversight. The document emphasizes that social media is still new and evolving, and officials should educate themselves, use common sense, and communicate with compassion when using these platforms.
FutureSkills: Refreshing IT Skills in State and Local GovernmentPaul W. Taylor
State and local government faces the challenge and opportunity of keeping a strong bench of IT professionals with the skills needed to serve citizens how and when they expect to be served. It means a careful balance between keeping legacy systems operating, pushing forward into cloud, mobile, big data, analytics and the disruptive technologies emerging from the civic tech sector. To those ends, it requires organizations to pivot with seasoned employees pivoting toward the future and young people pivoting toward public service.
Jennifer Schaus and Associates hosts a complimentary webinar series on The FAR in 2024. Join the webinars on Wednesdays and Fridays at noon, eastern.
Recordings are on YouTube and the company website.
https://www.youtube.com/@jenniferschaus/videos
Donate to charity during this holiday seasonSERUDS INDIA
For people who have money and are philanthropic, there are infinite opportunities to gift a needy person or child a Merry Christmas. Even if you are living on a shoestring budget, you will be surprised at how much you can do.
Donate Us
https://serudsindia.org/how-to-donate-to-charity-during-this-holiday-season/
#charityforchildren, #donateforchildren, #donateclothesforchildren, #donatebooksforchildren, #donatetoysforchildren, #sponsorforchildren, #sponsorclothesforchildren, #sponsorbooksforchildren, #sponsortoysforchildren, #seruds, #kurnool
Combined Illegal, Unregulated and Unreported (IUU) Vessel List.Christina Parmionova
The best available, up-to-date information on all fishing and related vessels that appear on the illegal, unregulated, and unreported (IUU) fishing vessel lists published by Regional Fisheries Management Organisations (RFMOs) and related organisations. The aim of the site is to improve the effectiveness of the original IUU lists as a tool for a wide variety of stakeholders to better understand and combat illegal fishing and broader fisheries crime.
To date, the following regional organisations maintain or share lists of vessels that have been found to carry out or support IUU fishing within their own or adjacent convention areas and/or species of competence:
Commission for the Conservation of Antarctic Marine Living Resources (CCAMLR)
Commission for the Conservation of Southern Bluefin Tuna (CCSBT)
General Fisheries Commission for the Mediterranean (GFCM)
Inter-American Tropical Tuna Commission (IATTC)
International Commission for the Conservation of Atlantic Tunas (ICCAT)
Indian Ocean Tuna Commission (IOTC)
Northwest Atlantic Fisheries Organisation (NAFO)
North East Atlantic Fisheries Commission (NEAFC)
North Pacific Fisheries Commission (NPFC)
South East Atlantic Fisheries Organisation (SEAFO)
South Pacific Regional Fisheries Management Organisation (SPRFMO)
Southern Indian Ocean Fisheries Agreement (SIOFA)
Western and Central Pacific Fisheries Commission (WCPFC)
The Combined IUU Fishing Vessel List merges all these sources into one list that provides a single reference point to identify whether a vessel is currently IUU listed. Vessels that have been IUU listed in the past and subsequently delisted (for example because of a change in ownership, or because the vessel is no longer in service) are also retained on the site, so that the site contains a full historic record of IUU listed fishing vessels.
Unlike the IUU lists published on individual RFMO websites, which may update vessel details infrequently or not at all, the Combined IUU Fishing Vessel List is kept up to date with the best available information regarding changes to vessel identity, flag state, ownership, location, and operations.
AHMR is an interdisciplinary peer-reviewed online journal created to encourage and facilitate the study of all aspects (socio-economic, political, legislative and developmental) of Human Mobility in Africa. Through the publication of original research, policy discussions and evidence research papers AHMR provides a comprehensive forum devoted exclusively to the analysis of contemporaneous trends, migration patterns and some of the most important migration-related issues.
A Guide to AI for Smarter Nonprofits - Dr. Cori Faklaris, UNC CharlotteCori Faklaris
Working with data is a challenge for many organizations. Nonprofits in particular may need to collect and analyze sensitive, incomplete, and/or biased historical data about people. In this talk, Dr. Cori Faklaris of UNC Charlotte provides an overview of current AI capabilities and weaknesses to consider when integrating current AI technologies into the data workflow. The talk is organized around three takeaways: (1) For better or sometimes worse, AI provides you with “infinite interns.” (2) Give people permission & guardrails to learn what works with these “interns” and what doesn’t. (3) Create a roadmap for adding in more AI to assist nonprofit work, along with strategies for bias mitigation.
1. E X P O N E N T I A L G O V E R N M E N T :
T H E F U T U R E O F P U B L I C S E R V I C E
P A U L W . T A Y L O R , P H . D .
C H I E F C O N T E N T O F F I C E R
E . R E P U B L I C | G O V E R N I N G | G O V E R N M E N T T E C H N O L O G Y
P T A Y L O R @ E R E P U B L I C . C O M | @ P W T A Y L O R
2.
3. Educate
Medicate
Incarcerate
Manage
Functions of Government meet Exponential Technology
Provision
K-12 | Higher Ed
Workforce Training
Health
Human Services
Law Enforcement
Criminal Justice | Courts
Administration | Finance
Economic Development
Transportation
Infrastructure
6. In Our Time Together
A L O O K A T
T O D A Y
A L O O K A T
T O M O R R O W
S H I F T I N G
T R E N D S
N E X T - G E N
T A C T I C S
7. Merriam Webster
adjective ex·po·nen·tial ˌek-spə-
ˈnen-chəl
(1) very fast :
increasingly rapid
Exponential, Defined
September 13,
2017
Paul W. Taylor |
ptaylor@erepublic.com |
9. Internet of Things
Infinite, Cognitive Computing
§ Artificial Intelligence (AI)
§ Machine Learning
§ Deep Learning
Voice Recognition
§ Voice Command/ Controls
§ Real-time Translation
Exponential Technologies (as We Know Them Now)
Robotics
§ Self Driving Vehicles
• Humanoid
Additive Manufacturing
§ 3D Printing
Virtual Reality
§ Augmented Reality
§ Synthetic/ Industrial
Biology
10. Government is the
holder of the unique
authoritative record to
which all others refer.
Access matters.
Transparency matters.
Integrity matters.
Security matters.
13. The Quickening
A G R I C U L T U R A L R E V O L U T I O NI N D U S T R I A L R E V O L U T I O N
8 , 0 0 0 Y E A R S
L I G H T B U L B
1 2 0 Y E A R S
Adapted from Time Magazine & Singularity U
14. The Quickening
L I G H T B U L B M O O N L A N D I N G
WO R L D WI D E WE B
2 2 Y E A R S9 0 Y E A R S
H U M A N G E N O M E
S E Q U E N C E D
9 Y E A R S
Adapted from Time Magazine & Singularity U
39. Issues for the Black Robes
AI, Drones and Robotics – Regulate, Restrain, and Prevent Self
Replicating Entities from Going Rogue
Wearables – Data Collection and Personally Identifiable Information
Self Driving Vehicles (SDV) – Regulation, Liability
Nanotech – Unknown Unknowns
3D Printing – Intellectual Property Losses
Human Genome and Neuroscience – Ethics of Genetic Modifications
and Synthetic Manufacturing of DNA
Crowdsourcing and Crowdfunding – Decentralized Hub of Criminal
Activity
Gamification – Criminal Manipulation of Behavior
62. Next ….
Nurture “Can Do” Mindset
Create Culture of Innovation
Allow for Failure
Listen
Challenge Assumptions
Digitize.
Gather, Use and Analyze Data
Standardize
Design for Expert Users
Outsource/ Crowdsource
License Court Capabilities
Leverage Privates
Use Model Statutes and Rules
63. Bold Moves for the Exponential Era
O P E R A T E I N
B E T A
F O C U S O N T H E
E X P E R I E N C E
I N N O V A T E L I K E
Y O U
I N V E S T
F I N D W A Y S T O
P A R T N E R
Next-Gen Tactics
B E A N E X P O N E N T I A L O R G A N I Z A T I O N
69. Where to Start With
1. Educate Yourself & Your Employees
2. Launch and Learn
3. Start a Conversation With Your Network
4. Embrace Constraints
5. Draw the Owl
Next ….
70. Created by Paul W. Taylor and Dustin Haisler
ptaylor@erepublic.com | @pwtaylor