Grande conférence AQT avec Yoshua Bengio (Directeur du MILA et professeur à l'Université de Montréal) sur l'intelligence artificielle et l'apprentissage profond animée par André d'Orsonnens, PDG de Druide Informatique.
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
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.
The UAE AI Strategy: Building Intelligent EnterprisesSaeed Al Dhaheri
1) The UAE has launched an ambitious AI strategy to boost GDP by 30% and government performance by adopting AI technologies.
2) The strategy aims to save 50% on annual government costs and ensure 90% resistance to financial crises by 2031 through widespread AI use.
3) The UAE sees great potential in AI to automate services, enhance data analytics, and transform government work - but also faces challenges in developing expertise and managing new technical requirements.
"I.o.T, the futur of jobs" được trình bày tại xTalk tháng 9/2016, trong khuôn khổ xDay 9 của ĐH Trực tuyến FUNiX.
Diễn giả là anh Nguyễn Duy Nghiêm - Quản lý Dự án tại FPT Software Đà Nẵng - Mentor của Đại học Trực tuyến FUNiX.
This presentation was conducted during the VIP French business group conference dinner: Artificial Intelligence for a better life, held in Abu Dhabi on 1st May 2018. Highlights the achievements made since UAE announced its AI strategy and provide some examples from the public and private sectors in UAE.
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.
How to Grow Tech Entrepreneurs in the UAE and the Arab worldSaeed Al Dhaheri
This talk was presented during the Arab EmTech and Startup Conference on 16th Nov 2020. It highlights the UAE efforts to grow Tech entrepreneurs and Emiratis unicorns, and create the ecosystem for tech entrepreneurship. It highlights some lessons for the Arab world
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
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.
The UAE AI Strategy: Building Intelligent EnterprisesSaeed Al Dhaheri
1) The UAE has launched an ambitious AI strategy to boost GDP by 30% and government performance by adopting AI technologies.
2) The strategy aims to save 50% on annual government costs and ensure 90% resistance to financial crises by 2031 through widespread AI use.
3) The UAE sees great potential in AI to automate services, enhance data analytics, and transform government work - but also faces challenges in developing expertise and managing new technical requirements.
"I.o.T, the futur of jobs" được trình bày tại xTalk tháng 9/2016, trong khuôn khổ xDay 9 của ĐH Trực tuyến FUNiX.
Diễn giả là anh Nguyễn Duy Nghiêm - Quản lý Dự án tại FPT Software Đà Nẵng - Mentor của Đại học Trực tuyến FUNiX.
This presentation was conducted during the VIP French business group conference dinner: Artificial Intelligence for a better life, held in Abu Dhabi on 1st May 2018. Highlights the achievements made since UAE announced its AI strategy and provide some examples from the public and private sectors in UAE.
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.
How to Grow Tech Entrepreneurs in the UAE and the Arab worldSaeed Al Dhaheri
This talk was presented during the Arab EmTech and Startup Conference on 16th Nov 2020. It highlights the UAE efforts to grow Tech entrepreneurs and Emiratis unicorns, and create the ecosystem for tech entrepreneurship. It highlights some lessons for the Arab world
The document discusses artificial intelligence (AI) and the UAE's efforts to become a global leader in AI. It outlines the UAE's national AI strategy, which aims to boost the economy and improve government services using AI. The strategy includes increasing GDP by 30% and saving 50% of annual government costs by 2031. The document also addresses challenges to adopting AI like privacy, skills shortages, and ensuring ethical use. It highlights some of the UAE's achievements to date in partnerships, education programs, and early use cases of AI-enabled government services.
This presentation discusses what the GCC countries need to do to ensure availability of skilled digital talent to execute their national visions and digital transformation agenda
Smart Machines: Driving the 4th Industrial Revolution?Bijilash Babu
This document discusses the rise of smart machines and artificial intelligence (AI) driving the Fourth Industrial Revolution. It provides an overview of trends in AI including data and analytics, automation, intelligent systems, and deep learning. It also discusses the impact of AI on jobs and industries, challenges around developing AI talent, and the current state of AI in India. The document advocates for developing a formal education system in India to prepare students and workers for the AI era and having a national AI strategy to guide both public and private sector development of AI.
This document discusses the impact of artificial intelligence and automation on the job market. It notes that while previous industrial revolutions initially caused job losses, they ultimately led to new jobs being created as technologies advanced. However, there is concern that this time the pace and scale of disruption may be different. Many existing jobs such as drivers, cashiers and fast food workers are at risk of automation. While some propose technologies like brain-computer interfaces and augmented reality as solutions, others argue more fundamental economic and policy changes may be needed to deal with potential widespread unemployment. The document cautions that productivity gains do not necessarily translate to new jobs and calls for rethinking economic theories and policies in light of technological disruption.
Artifical intelligence and the future of gcc governmentsSaeed Al Dhaheri
This talk was presented during the 24th GCC smart government and smart cities conference in Dubai on 22nd April 2018. It discusses the impact of AI on the GCC economy, providing use cases for AI from the UAE government and what the GCC countries need to do to benefit from AI.
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.
Ai revolution for human capital for individuals 2nd feb 2018Liew Wei Da Andrew
The world is crazy about Artificial Intelligence (AI). Whether you are for it or against it – there’s no doubt that AI will change our lives. To educate ourselves about AI, some questions which we should ask are:
Is AI an assistive tool or a substitutive tool?
What are the life hacks for an individual to adapt to this new world?
What are the possibilities for the individuals in the world of AI?
This talk will reveal facts and possibilities about AI to create hope and awareness for the society that we live in. There's no time for ignorance. Have the courage to find out and learn.
Artificial Intelligence and mobile robotics are transforming businesses and the economy: this deck explores possible futures for companies and workers.
The UAE Digital Economy Post COVID-19: Value creation and policy recommendationSaeed Al Dhaheri
This topic was presented for a keynote presentation at Zayed University 12th Annual Undergraduate Research Conference on Applied Computing, Dubai, April 15-16 , 2020
The presentation highlights the digital economy ecosystem in the UAE and recommends way forward post COVID-19
The Future of Work & The Impact of IT 2019Paul Herring
This document discusses why studying digital technologies is crucial for children's future career prospects. It notes that the world is undergoing a major technology surge that is digitizing information and disrupting industries. As a result, many existing jobs will be automated in the coming years, while new jobs focused on technology will see strong growth. The document recommends that students develop skills in areas like computer science, data analysis, and digital literacy to remain employable. It emphasizes that virtually all future careers will require strong digital skills and an ability to adapt to emerging technologies.
Banks face many challenges including increased regulation, cost pressures from legacy systems and competition from fintech startups. Artificial intelligence will significantly impact jobs at banks - while some routine jobs will be automated, AI will augment many other jobs and create new roles requiring skills like creativity and adaptability. Startups face challenges finding product-market fit, differentiating themselves, building strong teams, and gaining investor support beyond just funding.
Digital Opportunities: Innovative ICT Solutions for Youth EmploymentITU
The document discusses innovative ICT solutions for youth employment. It notes that 73 million youth are unemployed globally and there is a skills mismatch between what employers seek and how youth have been educated. However, ICTs are fueling new job and business opportunities in areas like microwork, crowdsourcing, and the app economy. The International Telecommunication Union has conducted research mapping ICT-enabled careers, entrepreneurship options, and learning opportunities. It also recently launched an online youth employment and entrepreneurship resources database. The document calls for youth to become ICT-savvy and outlines roles for governments, private sector, and organizations like the ITU to promote digital skills training and support youth employment and entrepreneurship.
Artificial Intelligence (AI) and Deep Learning (DL) are the most common buzz words currently used in technical and business discussions alike. Our aspiration to automate everything that we do, at home, at work and elsewhere, is driving the AI wave. Recent advances in Algorithms and raise in Computing power have strengthened our faith in reaching the AI Universe where Machines are no less intelligent than humans. Robotic Process Automation (RPA) is on the rise using mostly rule bases automation. Advances in AI is guaranteed to play a major role in taking RPA to further heights paving way for Business Process Automation.
The document summarizes key points about developing an innovation ecosystem and talent attraction strategies. It notes that innovation activity alone is not enough, and that growing creative enterprises depends on attracting talent, which is drawn to places with career opportunities and desirable lifestyles. An effective strategy involves building a destination community where talent wants to both live and work. The document also provides examples of factors that contribute to innovation hubs like Kendall Square in Boston.
AI and its allied technolgies present an exciting scenario of job changes in coming decades. So are the concerns about loss of traditional jobs. What would be the net impact? We explore the economic models and concepts that allay unfound fears; yet warn us to be ready for constant changes and need for continuous skill rebuilding.
This document summarizes Jim Spohrer's presentation on robust university-industry collaborations. It discusses several easy and more complex approaches for collaborations, including PhD fellowships, faculty research awards, internships, co-funded research centers, and open innovation networks. Spohrer serves on the board of ISSIP.org and contributes to the Linux Foundation AI and Data Foundation. He retired from IBM in 2021 after a career in service science and directing various university and open source programs.
The document discusses IBM's University Programs (IBM UP) and initiatives to build innovation capacity. It describes how IBM UP addresses skills shortages by finding lead academics and accelerating skills programs, with hundreds of new programs created. It also discusses how IBM UP helps to reframe university relationships and create regional economic development by supporting university startups and helping graduates develop skills for in-demand jobs. Lessons learned include the need to let initiatives grow and restart them quickly to maintain focus on skills and sharing.
How AI is Transforming Government Services in the UAESaeed Al Dhaheri
This presentation was given at the RIT - Dubai workshop about applications of Artificial Intelligence at the public and private sectors. Highlights the UAE AI strategy and what has been done to activate it. Also presents some use cases for AI from the UAE public sector.
How AI is Transforming Industry - Dr. Monica DeZulueta - WiDS Miami 2018Catalina Arango
A talk given by Dr. Monica DeZulueta on how Artificial Intelligence (AI) can impact the industries in South Florida. What the Analysts are saying about the impact of AI on the economy and industry.
Big Data and Artificial Intelligence: Game ChangerDavid Asirvatham
Introduces the role of Big Data and AI in the transformation of jobs. It will provide an overview of the skills needed by students if they are seeking for jobs in the area of Big Data and AI.
Prof. Dr. David Asirvatham gave a presentation on AI and future jobs. There will be 5 major trends shaping the future, including the use of technology everywhere and mobile phones becoming multi-purpose tools. AI will disrupt many jobs like drivers, chefs, and journalists by taking over certain tasks. However, AI will also create new jobs and aid knowledge workers. To prepare for the future of work, people will need to learn new skills like problem solving, critical thinking, and computer literacy as jobs and skills requirements continuously change. Education will focus more on lifelong learning to gain new skills.
The document discusses artificial intelligence (AI) and the UAE's efforts to become a global leader in AI. It outlines the UAE's national AI strategy, which aims to boost the economy and improve government services using AI. The strategy includes increasing GDP by 30% and saving 50% of annual government costs by 2031. The document also addresses challenges to adopting AI like privacy, skills shortages, and ensuring ethical use. It highlights some of the UAE's achievements to date in partnerships, education programs, and early use cases of AI-enabled government services.
This presentation discusses what the GCC countries need to do to ensure availability of skilled digital talent to execute their national visions and digital transformation agenda
Smart Machines: Driving the 4th Industrial Revolution?Bijilash Babu
This document discusses the rise of smart machines and artificial intelligence (AI) driving the Fourth Industrial Revolution. It provides an overview of trends in AI including data and analytics, automation, intelligent systems, and deep learning. It also discusses the impact of AI on jobs and industries, challenges around developing AI talent, and the current state of AI in India. The document advocates for developing a formal education system in India to prepare students and workers for the AI era and having a national AI strategy to guide both public and private sector development of AI.
This document discusses the impact of artificial intelligence and automation on the job market. It notes that while previous industrial revolutions initially caused job losses, they ultimately led to new jobs being created as technologies advanced. However, there is concern that this time the pace and scale of disruption may be different. Many existing jobs such as drivers, cashiers and fast food workers are at risk of automation. While some propose technologies like brain-computer interfaces and augmented reality as solutions, others argue more fundamental economic and policy changes may be needed to deal with potential widespread unemployment. The document cautions that productivity gains do not necessarily translate to new jobs and calls for rethinking economic theories and policies in light of technological disruption.
Artifical intelligence and the future of gcc governmentsSaeed Al Dhaheri
This talk was presented during the 24th GCC smart government and smart cities conference in Dubai on 22nd April 2018. It discusses the impact of AI on the GCC economy, providing use cases for AI from the UAE government and what the GCC countries need to do to benefit from AI.
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.
Ai revolution for human capital for individuals 2nd feb 2018Liew Wei Da Andrew
The world is crazy about Artificial Intelligence (AI). Whether you are for it or against it – there’s no doubt that AI will change our lives. To educate ourselves about AI, some questions which we should ask are:
Is AI an assistive tool or a substitutive tool?
What are the life hacks for an individual to adapt to this new world?
What are the possibilities for the individuals in the world of AI?
This talk will reveal facts and possibilities about AI to create hope and awareness for the society that we live in. There's no time for ignorance. Have the courage to find out and learn.
Artificial Intelligence and mobile robotics are transforming businesses and the economy: this deck explores possible futures for companies and workers.
The UAE Digital Economy Post COVID-19: Value creation and policy recommendationSaeed Al Dhaheri
This topic was presented for a keynote presentation at Zayed University 12th Annual Undergraduate Research Conference on Applied Computing, Dubai, April 15-16 , 2020
The presentation highlights the digital economy ecosystem in the UAE and recommends way forward post COVID-19
The Future of Work & The Impact of IT 2019Paul Herring
This document discusses why studying digital technologies is crucial for children's future career prospects. It notes that the world is undergoing a major technology surge that is digitizing information and disrupting industries. As a result, many existing jobs will be automated in the coming years, while new jobs focused on technology will see strong growth. The document recommends that students develop skills in areas like computer science, data analysis, and digital literacy to remain employable. It emphasizes that virtually all future careers will require strong digital skills and an ability to adapt to emerging technologies.
Banks face many challenges including increased regulation, cost pressures from legacy systems and competition from fintech startups. Artificial intelligence will significantly impact jobs at banks - while some routine jobs will be automated, AI will augment many other jobs and create new roles requiring skills like creativity and adaptability. Startups face challenges finding product-market fit, differentiating themselves, building strong teams, and gaining investor support beyond just funding.
Digital Opportunities: Innovative ICT Solutions for Youth EmploymentITU
The document discusses innovative ICT solutions for youth employment. It notes that 73 million youth are unemployed globally and there is a skills mismatch between what employers seek and how youth have been educated. However, ICTs are fueling new job and business opportunities in areas like microwork, crowdsourcing, and the app economy. The International Telecommunication Union has conducted research mapping ICT-enabled careers, entrepreneurship options, and learning opportunities. It also recently launched an online youth employment and entrepreneurship resources database. The document calls for youth to become ICT-savvy and outlines roles for governments, private sector, and organizations like the ITU to promote digital skills training and support youth employment and entrepreneurship.
Artificial Intelligence (AI) and Deep Learning (DL) are the most common buzz words currently used in technical and business discussions alike. Our aspiration to automate everything that we do, at home, at work and elsewhere, is driving the AI wave. Recent advances in Algorithms and raise in Computing power have strengthened our faith in reaching the AI Universe where Machines are no less intelligent than humans. Robotic Process Automation (RPA) is on the rise using mostly rule bases automation. Advances in AI is guaranteed to play a major role in taking RPA to further heights paving way for Business Process Automation.
The document summarizes key points about developing an innovation ecosystem and talent attraction strategies. It notes that innovation activity alone is not enough, and that growing creative enterprises depends on attracting talent, which is drawn to places with career opportunities and desirable lifestyles. An effective strategy involves building a destination community where talent wants to both live and work. The document also provides examples of factors that contribute to innovation hubs like Kendall Square in Boston.
AI and its allied technolgies present an exciting scenario of job changes in coming decades. So are the concerns about loss of traditional jobs. What would be the net impact? We explore the economic models and concepts that allay unfound fears; yet warn us to be ready for constant changes and need for continuous skill rebuilding.
This document summarizes Jim Spohrer's presentation on robust university-industry collaborations. It discusses several easy and more complex approaches for collaborations, including PhD fellowships, faculty research awards, internships, co-funded research centers, and open innovation networks. Spohrer serves on the board of ISSIP.org and contributes to the Linux Foundation AI and Data Foundation. He retired from IBM in 2021 after a career in service science and directing various university and open source programs.
The document discusses IBM's University Programs (IBM UP) and initiatives to build innovation capacity. It describes how IBM UP addresses skills shortages by finding lead academics and accelerating skills programs, with hundreds of new programs created. It also discusses how IBM UP helps to reframe university relationships and create regional economic development by supporting university startups and helping graduates develop skills for in-demand jobs. Lessons learned include the need to let initiatives grow and restart them quickly to maintain focus on skills and sharing.
How AI is Transforming Government Services in the UAESaeed Al Dhaheri
This presentation was given at the RIT - Dubai workshop about applications of Artificial Intelligence at the public and private sectors. Highlights the UAE AI strategy and what has been done to activate it. Also presents some use cases for AI from the UAE public sector.
How AI is Transforming Industry - Dr. Monica DeZulueta - WiDS Miami 2018Catalina Arango
A talk given by Dr. Monica DeZulueta on how Artificial Intelligence (AI) can impact the industries in South Florida. What the Analysts are saying about the impact of AI on the economy and industry.
Big Data and Artificial Intelligence: Game ChangerDavid Asirvatham
Introduces the role of Big Data and AI in the transformation of jobs. It will provide an overview of the skills needed by students if they are seeking for jobs in the area of Big Data and AI.
Prof. Dr. David Asirvatham gave a presentation on AI and future jobs. There will be 5 major trends shaping the future, including the use of technology everywhere and mobile phones becoming multi-purpose tools. AI will disrupt many jobs like drivers, chefs, and journalists by taking over certain tasks. However, AI will also create new jobs and aid knowledge workers. To prepare for the future of work, people will need to learn new skills like problem solving, critical thinking, and computer literacy as jobs and skills requirements continuously change. Education will focus more on lifelong learning to gain new skills.
This document summarizes a presentation on auditing in the age of artificial intelligence. It discusses how AI can help address the global problem of fraud by enabling continuous monitoring of large datasets. It also explores how major accounting firms like EY and Deloitte are using AI to improve audit quality, predict risks, process tax returns and conduct other tasks. The UAE's national AI strategy aims to boost the economy and government performance through AI. Challenges to organizational AI adoption include lack of expertise, high costs and convincing stakeholders of its value.
The document discusses the impact of the COVID-19 pandemic on jobs and the emergence of artificial intelligence (AI) technology. It notes that millions of people have lost jobs due to the pandemic and many of these jobs may never return as companies increase automation and look for more pandemic-resistant ways of operating. The pandemic is accelerating the adoption of AI technologies which can perform roles like drivers, warehouse workers, and food preparation more efficiently. Specific jobs that may be replaced by AI include truck drivers, pilots, journalists, lawyers, chefs, bankers, and construction workers. It emphasizes that the future will demand skills in innovation, problem-solving, data analysis, and lifelong learning to work with new AI technologies.
Clipperton - AI - Deep Learning: From Hype to Maturity?Stephane Valorge
The document discusses the emergence of deep learning as the latest development in artificial intelligence. It notes that deep learning saw explosive growth in 2016, with €717M raised for deep learning startups, up from €316M in 2015. Deep learning algorithms have proven able to tackle problems in ways that other AI cannot. The document suggests key factors enabling deep learning's development are increased data availability, greater computing power, and improved algorithms/researchers. It notes that 2017-2018 will be important years to determine if deep learning becomes a mainstream technology or fades, and which companies can achieve significant growth or exits.
Deep Learning for AI - Yoshua Bengio, MilaLucidworks
Deep Learning for AI
The keynote address covered several topics related to deep learning for AI:
1. Deep learning is based on the assumption that intelligence arises from general learning mechanisms that can acquire knowledge from data and experience.
2. Recent breakthroughs using deep learning have improved computer performance in areas like perception, language processing, games, and medical imaging analysis.
3. Deep learning exploits hierarchical feature learning through neural network architectures to allow machines to learn higher levels of abstraction from data, enabling better generalization.
4. While deep learning has achieved success, fully human-level AI still requires progress in unsupervised learning and constructing intuitive models from interacting with the world like humans do from a young age.
ARTIFICIAL INTELLIGENCE AND MACHINE LEARNINGsunnypatil1778
This document provides an introduction to artificial intelligence (AI) and machine learning (ML). It discusses how AI uses algorithms to mimic human intelligence, with ML being a technique to achieve AI goals. The document outlines several applications of AI and ML in industries like healthcare, finance, transportation, and more. It also discusses career opportunities in AI and ML fields, with the job market expected to grow significantly. Finally, it provides conclusions that AI careers are in high demand and getting an education in AI requires persistence.
Executing the UAE AI Strategy: Opportunities and ChallengesSaeed Al Dhaheri
this presentation was conducted at the American University of The Emirates. It gives an overview about AI and present some use cases. Also presents the UAE AI strategy and what the government has done to activate and execute the strategy. It also highlights some examples of how UAE public sector organizations are transforming their services using AI.
Presenting a) business megatrends, b) education megatrends in connection to the business megatrends, and c) outlining the skills required for many future businesses
This document provides an overview of emerging technology degree programs and career opportunities. It describes Bachelor of Technology programs in artificial intelligence and machine learning, data science, cybersecurity, internet of things, and automation and robotics. For each program, it outlines some of the key concepts and career paths such as machine learning engineer, data scientist, cybersecurity specialist, industrial automation engineer, and robotic architect. It also notes a World Economic Forum report finding that over 97 million new jobs will be created in emerging technologies by 2025, with starting salaries of 6.5 LPA and median salaries over 12 LPA for these specialized computer science fields.
Building an AI Startup: Realities & TacticsMatt Turck
AI is all the rage in tech circles, and the press is awash in tales of AI entrepreneurs striking it rich after being acquired by one of the giants. As always, the realities of building a startup are different, and the path to success requires not just technical prowess but also thoughtful market positioning and business excellence.
In a talk of interest to anyone building or implementing an AI product, Matt Turck and Peter Brodsky leverage hundreds of conversations with AI (and big data) founders and hard-learned lessons building companies from the ground up to highlight successful strategies and tactics.
Topics include:
Successful data acquisition strategies
Data network effects
Competing with the giants
A pragmatic approach to building an AI team
Why social engineering is just as important to success as groundbreaking AI technology
Artificial intelligence and machine learning are growing fields that offer many career opportunities. AI can be applied across industries like healthcare, finance, transportation, marketing and more. Demand for AI skills is increasing rapidly and global spending on AI is expected to more than double from 2020 to 2024. Careers in AI include roles like machine learning engineer, data scientist, AI engineer and research scientist. Strong skills in areas like computer science, mathematics, analytics and problem solving are important for success in AI careers. Startups are also increasingly utilizing AI and machine learning technologies.
Introduction to Artificial Intelligence: Intelligent Agents, State Space Sear...shreenathji26
Artificial intelligence and machine learning are growing fields that offer many career opportunities. AI can be applied across industries like healthcare, finance, transportation, marketing and more. Demand for AI skills is increasing rapidly and global spending on AI is expected to more than double from 2020 to 2024. Careers in AI include roles like machine learning engineer, data scientist, AI engineer and research scientist. Strong skills in areas like computer science, mathematics, analytics and problem solving are important for success in AI careers. Startups are also increasingly utilizing AI and machine learning technologies.
The document discusses how technology, especially artificial intelligence (AI), will impact the future world and jobs. It summarizes that AI will disrupt many industries and potentially replace jobs like drivers, retail workers, and food service employees. However, AI will also create new jobs and aid existing jobs. The document emphasizes that education and acquiring skills like computing, data science, and digital skills will be important for humans to work with AI and ensure they are not replaced by machines. It promotes Taylor's computing programs that aim to prepare students for future careers.
Artificial intelligence in India is evolving rapidly. Some key developments include:
- The government is running several AI-based pilot projects in various sectors like healthcare, agriculture, education, transportation and more. It is also working to develop policies around responsible and ethical AI.
- Several Indian startups are developing AI solutions for issues like predictive policing, smart cities, farming, and more. The government is also holding startup competitions to encourage more AI development.
- India faces challenges like a lack of data, low AI research intensity, and a shortage of AI skills. But the large market and opportunities across sectors means AI could contribute up to 3.2% of India's GDP if investments are increased.
Artificial intelligence and automation will significantly impact future jobs. Many existing jobs will be displaced, but new jobs will also be created. Skills that are important today like driving trucks may no longer be needed if self-driving vehicles are widely adopted. However, AI will also drive innovation and create new industries and jobs. Education will need to focus on emerging technical skills like data science, cybersecurity and artificial intelligence to prepare students for these new types of jobs. Taylor's University is transforming its degree programs, like computer science, to offer specializations in high demand AI fields and opportunities for real-world work experience through internships and industry projects.
AI Happy Hour - Dr. Kai-Fu Lee - The Golden age of Artificial IntelligenceRicky Wong
New breakthroughs in machine learning has created two set of opportunities in artificial intelligence.
On one hand, we're seeing a tidal wave of startups in fields such as robotics, autonomous vehicles, image recognition, and speech / NLP. Separately, we're also finding AI startups leveraging big-data and solving problems in traditional, but data rich, industries (e.g. finance, retail, medical, education, etc..) and in variety of use-cases (e.g. sales, marketing, and productivity).
At Sinovation Ventures, we see China as a great platform for Artificial Intelligence to take off. China has the unique set of conditions such as large amount of untapped data and deep talent pool of engineers and scientists. As a global investment firm, we see many opportunities for US and China to partner together in the golden age of artificial intelligence.
This document discusses how CrowdSmart uses a data-driven approach and collective intelligence to predict startup success and fund the most promising startups. It analyzes startups using a diverse group of 30+ individual investors and experts who provide reasons for and against investing. These reasons are then classified using machine learning to predict factors like market opportunity and risks. Startups also receive feedback which allows them to learn and improve. The goal is to apply the latest AI, NLP, and machine learning technologies to remove human bias and identify the startups most likely to succeed.
GDG Cloud Southlake 28 Brad Taylor and Shawn Augenstein Old Problems in the N...James Anderson
GDG Cloud Southlake #28: Brad Taylor and Shawn Augenstein: Old Problems in the New Frontiers of AI
• Brad discusses how decades-old laws and expanding regulation have new implications in the ML and Large Model age, and will touch on:
• Legal and Regulatory: Data usage rights, cautionary tale of stability.ai and Getty Images, EU's planned expansion of GDPR re models
• How Neural Networks, zero and one-shot learning, and LLMs have increased the need for better data governance, lineage management
• Shawn speaks on the coming "Data Renaissance"
• The New IP: Prompts and Internatl Interaction Data
• Where GenAI can be used right now and where it maybe shouldn't be used yet
• The Power of the Diversity of Insight
• What is making the future look bright!
Brad has been an intrapreneur and entrepreneur in data, AI, and IoT and has led teams in the creation of NLP, data products and predictive analytics for retention, churn, driver safety, traffic, CX and fleet risk. He has built solutions on global hyperscalers GCP, AWS, Azure, and IBM. Brad is a former founding partner at Tech Wildcatters, and worked with dozens of mobile, SaaS and AI start-ups, many of which became both job creators and profitable exits for TW investors. He is currently a Senior Manager in Pepsico's global Strategy and Transformation group, where he focuses on delivering AI/ML driven solutions.
Shawn Augenstein is a dynamic and highly experienced professional, who is driven by educating, providing equal access to technology and equitable access to information. Currently, Shawn serves as Principal Data & AI Consultant at CDW, where he develops the curriculum and architectures for understanding and furthering the use of AI, as well as developing solutions for both partners and clients. In his spare time, he enjoys exploring new frontiers of Diffusers, capturing moments through photography, and listening to music as a passionate melophile.
Similar to Grande conférence AQT - IA et apprentissage profond (20)
Connector Corner: Seamlessly power UiPath Apps, GenAI with prebuilt connectorsDianaGray10
Join us to learn how UiPath Apps can directly and easily interact with prebuilt connectors via Integration Service--including Salesforce, ServiceNow, Open GenAI, and more.
The best part is you can achieve this without building a custom workflow! Say goodbye to the hassle of using separate automations to call APIs. By seamlessly integrating within App Studio, you can now easily streamline your workflow, while gaining direct access to our Connector Catalog of popular applications.
We’ll discuss and demo the benefits of UiPath Apps and connectors including:
Creating a compelling user experience for any software, without the limitations of APIs.
Accelerating the app creation process, saving time and effort
Enjoying high-performance CRUD (create, read, update, delete) operations, for
seamless data management.
Speakers:
Russell Alfeche, Technology Leader, RPA at qBotic and UiPath MVP
Charlie Greenberg, host
How information systems are built or acquired puts information, which is what they should be about, in a secondary place. Our language adapted accordingly, and we no longer talk about information systems but applications. Applications evolved in a way to break data into diverse fragments, tightly coupled with applications and expensive to integrate. The result is technical debt, which is re-paid by taking even bigger "loans", resulting in an ever-increasing technical debt. Software engineering and procurement practices work in sync with market forces to maintain this trend. This talk demonstrates how natural this situation is. The question is: can something be done to reverse the trend?
Programming Foundation Models with DSPy - Meetup SlidesZilliz
Prompting language models is hard, while programming language models is easy. In this talk, I will discuss the state-of-the-art framework DSPy for programming foundation models with its powerful optimizers and runtime constraint system.
Monitoring and Managing Anomaly Detection on OpenShift.pdfTosin Akinosho
Monitoring and Managing Anomaly Detection on OpenShift
Overview
Dive into the world of anomaly detection on edge devices with our comprehensive hands-on tutorial. This SlideShare presentation will guide you through the entire process, from data collection and model training to edge deployment and real-time monitoring. Perfect for those looking to implement robust anomaly detection systems on resource-constrained IoT/edge devices.
Key Topics Covered
1. Introduction to Anomaly Detection
- Understand the fundamentals of anomaly detection and its importance in identifying unusual behavior or failures in systems.
2. Understanding Edge (IoT)
- Learn about edge computing and IoT, and how they enable real-time data processing and decision-making at the source.
3. What is ArgoCD?
- Discover ArgoCD, a declarative, GitOps continuous delivery tool for Kubernetes, and its role in deploying applications on edge devices.
4. Deployment Using ArgoCD for Edge Devices
- Step-by-step guide on deploying anomaly detection models on edge devices using ArgoCD.
5. Introduction to Apache Kafka and S3
- Explore Apache Kafka for real-time data streaming and Amazon S3 for scalable storage solutions.
6. Viewing Kafka Messages in the Data Lake
- Learn how to view and analyze Kafka messages stored in a data lake for better insights.
7. What is Prometheus?
- Get to know Prometheus, an open-source monitoring and alerting toolkit, and its application in monitoring edge devices.
8. Monitoring Application Metrics with Prometheus
- Detailed instructions on setting up Prometheus to monitor the performance and health of your anomaly detection system.
9. What is Camel K?
- Introduction to Camel K, a lightweight integration framework built on Apache Camel, designed for Kubernetes.
10. Configuring Camel K Integrations for Data Pipelines
- Learn how to configure Camel K for seamless data pipeline integrations in your anomaly detection workflow.
11. What is a Jupyter Notebook?
- Overview of Jupyter Notebooks, an open-source web application for creating and sharing documents with live code, equations, visualizations, and narrative text.
12. Jupyter Notebooks with Code Examples
- Hands-on examples and code snippets in Jupyter Notebooks to help you implement and test anomaly detection models.
AppSec PNW: Android and iOS Application Security with MobSFAjin Abraham
Mobile Security Framework - MobSF is a free and open source automated mobile application security testing environment designed to help security engineers, researchers, developers, and penetration testers to identify security vulnerabilities, malicious behaviours and privacy concerns in mobile applications using static and dynamic analysis. It supports all the popular mobile application binaries and source code formats built for Android and iOS devices. In addition to automated security assessment, it also offers an interactive testing environment to build and execute scenario based test/fuzz cases against the application.
This talk covers:
Using MobSF for static analysis of mobile applications.
Interactive dynamic security assessment of Android and iOS applications.
Solving Mobile app CTF challenges.
Reverse engineering and runtime analysis of Mobile malware.
How to shift left and integrate MobSF/mobsfscan SAST and DAST in your build pipeline.
Discover top-tier mobile app development services, offering innovative solutions for iOS and Android. Enhance your business with custom, user-friendly mobile applications.
zkStudyClub - LatticeFold: A Lattice-based Folding Scheme and its Application...Alex Pruden
Folding is a recent technique for building efficient recursive SNARKs. Several elegant folding protocols have been proposed, such as Nova, Supernova, Hypernova, Protostar, and others. However, all of them rely on an additively homomorphic commitment scheme based on discrete log, and are therefore not post-quantum secure. In this work we present LatticeFold, the first lattice-based folding protocol based on the Module SIS problem. This folding protocol naturally leads to an efficient recursive lattice-based SNARK and an efficient PCD scheme. LatticeFold supports folding low-degree relations, such as R1CS, as well as high-degree relations, such as CCS. The key challenge is to construct a secure folding protocol that works with the Ajtai commitment scheme. The difficulty, is ensuring that extracted witnesses are low norm through many rounds of folding. We present a novel technique using the sumcheck protocol to ensure that extracted witnesses are always low norm no matter how many rounds of folding are used. Our evaluation of the final proof system suggests that it is as performant as Hypernova, while providing post-quantum security.
Paper Link: https://eprint.iacr.org/2024/257
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-und-domino-lizenzkostenreduzierung-in-der-welt-von-dlau/
DLAU und die Lizenzen nach dem CCB- und CCX-Modell sind für viele in der HCL-Community seit letztem Jahr ein heißes Thema. Als Notes- oder Domino-Kunde haben Sie vielleicht mit unerwartet hohen Benutzerzahlen und Lizenzgebühren zu kämpfen. Sie fragen sich vielleicht, wie diese neue Art der Lizenzierung funktioniert und welchen Nutzen sie Ihnen bringt. Vor allem wollen Sie sicherlich Ihr Budget einhalten und Kosten sparen, wo immer möglich. Das verstehen wir und wir möchten Ihnen dabei helfen!
Wir erklären Ihnen, wie Sie häufige Konfigurationsprobleme lösen können, die dazu führen können, dass mehr Benutzer gezählt werden als nötig, und wie Sie überflüssige oder ungenutzte Konten identifizieren und entfernen können, um Geld zu sparen. Es gibt auch einige Ansätze, die zu unnötigen Ausgaben führen können, z. B. wenn ein Personendokument anstelle eines Mail-Ins für geteilte Mailboxen verwendet wird. Wir zeigen Ihnen solche Fälle und deren Lösungen. Und natürlich erklären wir Ihnen das neue Lizenzmodell.
Nehmen Sie an diesem Webinar teil, bei dem HCL-Ambassador Marc Thomas und Gastredner Franz Walder Ihnen diese neue Welt näherbringen. Es vermittelt Ihnen die Tools und das Know-how, um den Überblick zu bewahren. Sie werden in der Lage sein, Ihre Kosten durch eine optimierte Domino-Konfiguration zu reduzieren und auch in Zukunft gering zu halten.
Diese Themen werden behandelt
- Reduzierung der Lizenzkosten durch Auffinden und Beheben von Fehlkonfigurationen und überflüssigen Konten
- Wie funktionieren CCB- und CCX-Lizenzen wirklich?
- Verstehen des DLAU-Tools und wie man es am besten nutzt
- Tipps für häufige Problembereiche, wie z. B. Team-Postfächer, Funktions-/Testbenutzer usw.
- Praxisbeispiele und Best Practices zum sofortigen Umsetzen
How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdfChart Kalyan
A Mix Chart displays historical data of numbers in a graphical or tabular form. The Kalyan Rajdhani Mix Chart specifically shows the results of a sequence of numbers over different periods.
Taking AI to the Next Level in Manufacturing.pdfssuserfac0301
Read Taking AI to the Next Level in Manufacturing to gain insights on AI adoption in the manufacturing industry, such as:
1. How quickly AI is being implemented in manufacturing.
2. Which barriers stand in the way of AI adoption.
3. How data quality and governance form the backbone of AI.
4. Organizational processes and structures that may inhibit effective AI adoption.
6. Ideas and approaches to help build your organization's AI strategy.
Driving Business Innovation: Latest Generative AI Advancements & Success StorySafe Software
Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency.
During the hour, we’ll take you through:
Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
Your One-Stop Shop for Python Success: Top 10 US Python Development Providersakankshawande
Simplify your search for a reliable Python development partner! This list presents the top 10 trusted US providers offering comprehensive Python development services, ensuring your project's success from conception to completion.
Conversational agents, or chatbots, are increasingly used to access all sorts of services using natural language. While open-domain chatbots - like ChatGPT - can converse on any topic, task-oriented chatbots - the focus of this paper - are designed for specific tasks, like booking a flight, obtaining customer support, or setting an appointment. Like any other software, task-oriented chatbots need to be properly tested, usually by defining and executing test scenarios (i.e., sequences of user-chatbot interactions). However, there is currently a lack of methods to quantify the completeness and strength of such test scenarios, which can lead to low-quality tests, and hence to buggy chatbots.
To fill this gap, we propose adapting mutation testing (MuT) for task-oriented chatbots. To this end, we introduce a set of mutation operators that emulate faults in chatbot designs, an architecture that enables MuT on chatbots built using heterogeneous technologies, and a practical realisation as an Eclipse plugin. Moreover, we evaluate the applicability, effectiveness and efficiency of our approach on open-source chatbots, with promising results.
What is an RPA CoE? Session 1 – CoE VisionDianaGray10
In the first session, we will review the organization's vision and how this has an impact on the COE Structure.
Topics covered:
• The role of a steering committee
• How do the organization’s priorities determine CoE Structure?
Speaker:
Chris Bolin, Senior Intelligent Automation Architect Anika Systems
Introduction of Cybersecurity with OSS at Code Europe 2024Hiroshi SHIBATA
I develop the Ruby programming language, RubyGems, and Bundler, which are package managers for Ruby. Today, I will introduce how to enhance the security of your application using open-source software (OSS) examples from Ruby and RubyGems.
The first topic is CVE (Common Vulnerabilities and Exposures). I have published CVEs many times. But what exactly is a CVE? I'll provide a basic understanding of CVEs and explain how to detect and handle vulnerabilities in OSS.
Next, let's discuss package managers. Package managers play a critical role in the OSS ecosystem. I'll explain how to manage library dependencies in your application.
I'll share insights into how the Ruby and RubyGems core team works to keep our ecosystem safe. By the end of this talk, you'll have a better understanding of how to safeguard your code.
Skybuffer SAM4U tool for SAP license adoptionTatiana Kojar
Manage and optimize your license adoption and consumption with SAM4U, an SAP free customer software asset management tool.
SAM4U, an SAP complimentary software asset management tool for customers, delivers a detailed and well-structured overview of license inventory and usage with a user-friendly interface. We offer a hosted, cost-effective, and performance-optimized SAM4U setup in the Skybuffer Cloud environment. You retain ownership of the system and data, while we manage the ABAP 7.58 infrastructure, ensuring fixed Total Cost of Ownership (TCO) and exceptional services through the SAP Fiori interface.
5. AI: The Upcoming Industrial Revolution
First industrial revolution:
• Machines extending humans’
mechanical power
Upcoming industrial revolution:
• Machines extending humans’
cognitive power
• From the digital economy to the
AI economy
• Predicted growth at least 25%/yr
• All sectors of the economy
6. A new revolution
seems to be in the
work after the
industrial revolution.
And Deep
Learning is at
the epicenter of
this revolution.
7. Initial breakthrough in deep learning
A Canadian-led trio at
CIFAR initiated the deep
learning AI revolution
• Fundamental
breakthrough in 2006:
first successful recipe for
training a deep supervised
neural network
8. AI, Machine Learning, Deep Learning
• Putting knowledge into computers
• Much knowledge is intuitive, uncommunicable
• Machine learning (ML) approach to AI
• Deep learning: a ML inspired by brains, learning
multiple levels of representation, different levels of
abstraction
8
10. Data is the New Oil
• Because AI is based on ML, successful AI
applications require DATA – lots of data
• The first step in any project:
– what data is available and what data is
needed, do we need to collect more, do we
need to label it?
12. 2012-2015: breakthrough
in computer vision
• Graphics Processing Units
(GPUs) + 10x more data
• 1,000 object categories,
• Facebook: millions of faces
• 2015: human-level
performance
13. 100%
90%
80%
70%
74.2
88.3
93.3
96.4
2012 2013
~ level of human
accuracy
94.9%
Use of
Deep Learning
over
Conventional
Computer Vision
Google
NYU
84.7
201520142011
U.Toronto
Microsoft
ImageNet Accuracy Still Improving
Top-5 Classification task
15. Still Far from Human-Level AI
• Industrial successes mostly based on supervised
learning
• Learning superficial clues, easy to fool trained
networks
• Still unable to discover higher-level abstractions
16. From Labs to Products
• Even if fundamental AI research were to
stop today, there would be at least 10 yrs
reaping the benefits of today’s science
• Scaling up efforts: more and better data,
engineering of models, computing power,
creative deployment of technology
17. 17
Through automation, Artificial Intelligence will cause major labor disruption
while creating new markets and opportunities
SOURCE: The Economist, BAML, Press Search
Low-Medium risk High risk
53% 47%
Existing jobs
in the U.S.
Likelihood of automation in the near future
100% = 138mn jobs
Industries impacted Examples of opportunities
Automotive &
Transport
▪ Autonomous vehicles to create a $87bn solutions market
Aerospace &
Defense
▪ Drone systems integration to create $82bn in positive economic impact and generate more
than 100,000 jobs
Financial
Services
▪ Robo advisors expected to have up to $2.2tn in AUM productivity gains from automation to
create $600-800bn in annual economic impact by 2025
Healthcare
▪ Global market for telehealth to reach $34bn
▪ Global market for medical robotics to reach $18bn
Agriculture ▪ Global agribot market to reach $16.3bn
Nearly half the jobs in the U.S. face high risk of automation
AI will create new markets and opportunities in connected industries
PRELIMINARY
18. Embracing AI in industry:
Not just a question of
competitivity,
a question of survival
19. Keys to the Success of Montreal as
an AI Hub
• Critical Mass of Talent
• Over 160 deep learning scientists in
Montreal’s universities, soon 200
• International visibility of a productive
fundamental research group
• Generating many graduate students
• Leadership, presence in the community
• Visible & substantial government investment
• VCs willing to invest outside of traditional
techno-hubs
20. Why Invest in AI Innovation: create the value
here to compensate for labor disruptions
• Advances in AI will disrupt the job markets, with some studies
estimating that half of the jobs are at risk over the next
decade.
• The new markets for products and services derived from AI
will also correspondingly create immense wealth.
• To compensate for the disruption (social safety net, re-
training, etc.) we need enough of the wealth creation to
happen under our tax base.
21. Entrepreneurs & AI
• Start thinking about how ML could be exploited to
improve current services & products, and create new
products and services
• Need a data strategy
• Need talent (that is tough), but smart engineers can learn
the skills if given time and resources
• Connect with academic researchers and take advantage
of training events & precompetitive research at institutes
like MILA
22. Be Ambitious – Tolerate Risk
• Canada’s business has been too conservative
in the past, unlike our friends in The Valley
• Canada, and in particular Montreal, benefit
from a unique intellectual asset
• It could be turned into an economic asset to
build an AI ecosystem here, if all the actors
collaborate: governments, academia, SME,
start-ups, VCs
Editor's Notes
Advances in Colonoscopy, An Issue of Gastrointestinal Endoscopy Clinics
Doug rex 2015