The effort in this webinar is to make the Civil, Mechanical, and Sanitation Engineers understand, that, DSAI is there to make the best use of the understanding of knowledge they have
Game changing AI Startups need great AI system. Learn the basic concepts and importance of AI to change the way you build a Startup. Its time to identify and develop skill sets to make better decisions.
Accelerate #AI workloads with Tesla V100 on #E2ECloud : http://bit.ly/E2EGPU
Solving the dilemma should you build or buy aiSkyl.ai
About the webinar
Long gone are the days of questioning if your organization requires Artificial Intelligence to drive competitive advantage. 84% of businesses say AI will enable them to obtain or sustain the competitive advantage [Forbes].
AI offers highly data-driven insights, automates mundane processes, enhances customer experience, and hence increases overall efficiency. 36% of executives say their primary goal for AI is to free up workers to be more creative by automating tasks [HBR].
Businesses know what AI solutions they need but the real challenge lies in getting them implemented. AI initiatives require proper evaluation of the organizations’ ability to build in-house AI technology or buy commercially available AI applications.
Through this webinar, you will know the factors to consider while making the decision of AI implementation, and you get the answer to your biggest question - whether to build or buy AI application.
What you will learn
What factors to evaluate before making a decision to build or buy an AI solution
What will you require to build an AI model specific to your organizational need
How does building an AI solution fit into the long-term business model and help in gaining competitive advantage
Data Science can bring scientific rigor to an organization’s decisions and processes. However, empiricism often fails to properly account for social norms, human relationships, and phenomena that have yet to manifest themselves in data. This is where intuition, cultural values, gut feel, and judgment—or “art”—still provide value to decisions. There is a class of problems that calls for precisely the combination of art and science. For social products—such as books, music, video, and apparel—focusing on either art or science at the exclusion of the other will lead to less than optimal results.
For years now we’ve espoused data-driven decision making into the organization. While we still need to take this further, there is equal opportunity in internalizing the “art” that exists within the organization. The judgment and cultural values that reside within the brains of our employees can be harvested and married with data science to produce new capabilities. In this talk we will share new ideas about how to systematically combine the assets of the organization—be they people or machines.
The effort in this webinar is to make the Civil, Mechanical, and Sanitation Engineers understand, that, DSAI is there to make the best use of the understanding of knowledge they have
Game changing AI Startups need great AI system. Learn the basic concepts and importance of AI to change the way you build a Startup. Its time to identify and develop skill sets to make better decisions.
Accelerate #AI workloads with Tesla V100 on #E2ECloud : http://bit.ly/E2EGPU
Solving the dilemma should you build or buy aiSkyl.ai
About the webinar
Long gone are the days of questioning if your organization requires Artificial Intelligence to drive competitive advantage. 84% of businesses say AI will enable them to obtain or sustain the competitive advantage [Forbes].
AI offers highly data-driven insights, automates mundane processes, enhances customer experience, and hence increases overall efficiency. 36% of executives say their primary goal for AI is to free up workers to be more creative by automating tasks [HBR].
Businesses know what AI solutions they need but the real challenge lies in getting them implemented. AI initiatives require proper evaluation of the organizations’ ability to build in-house AI technology or buy commercially available AI applications.
Through this webinar, you will know the factors to consider while making the decision of AI implementation, and you get the answer to your biggest question - whether to build or buy AI application.
What you will learn
What factors to evaluate before making a decision to build or buy an AI solution
What will you require to build an AI model specific to your organizational need
How does building an AI solution fit into the long-term business model and help in gaining competitive advantage
Data Science can bring scientific rigor to an organization’s decisions and processes. However, empiricism often fails to properly account for social norms, human relationships, and phenomena that have yet to manifest themselves in data. This is where intuition, cultural values, gut feel, and judgment—or “art”—still provide value to decisions. There is a class of problems that calls for precisely the combination of art and science. For social products—such as books, music, video, and apparel—focusing on either art or science at the exclusion of the other will lead to less than optimal results.
For years now we’ve espoused data-driven decision making into the organization. While we still need to take this further, there is equal opportunity in internalizing the “art” that exists within the organization. The judgment and cultural values that reside within the brains of our employees can be harvested and married with data science to produce new capabilities. In this talk we will share new ideas about how to systematically combine the assets of the organization—be they people or machines.
Machine learning (ML) is the catalyst to a strong, flexible, and resilient business in today’s market. Smart organisations leverage ML to create top-to-bottom growth, employee productivity, and customer satisfaction.
These organisations have achieved success with a few ML use cases, but they can’t stop there. Experimenting with ML is the easy part. The harder part is integrating ML models into business applications and processes to scale ML across the enterprise.
Currently, most organisations lack the skills, processes, and tools to accomplish this. In order to successfully achieve ML at scale, organisations must invest in MLOps — the process, tools, and technology that streamlines and standardize each stage of the ML lifecycle from model development to operationalization.
International Journal of Artificial Intelligence & Applications (IJAIA)gerogepatton
The International Journal of Artificial Intelligence & Applications (IJAIA) is a bi monthly open
access peer-reviewed journal that publishes articles which contribute new results in all areas of
the Artificial Intelligence & Applications (IJAIA). It is an international journal intended for
professionals and researchers in all fields of AI for researchers, programmers, and software and
hardware manufacturers. The journal also aims to publish new attempts in the form of special
issues on emerging areas in Artificial Intelligence and applications.
Many questions arise around this topic: What is Artificial Intelligence and what isn't? What is possible today? How can my organisation use AI? Will this replace my job? What can we expect in the future?
We will answer these and more in our presentation. We help you understand the impact of digital on your business and give you concrete steps to start taking action.
This guide demystifies AI and democratizes AI knowledge on how it creates and delivers value. It provides an essential understanding of AI to anyone with varying technical knowledge, curiosity, and interest in the technology.
Artificial Intelligence (AI) is one of the hottest topics in the tech and startup world at the moment. The field of AI and its associated technologies present a range of opportunities – as well as challenges – for corporates. Learn more about what Artificial Intelligence means for your organization.
Introduction to Artificial Intelligence.pptxRSAISHANKAR
My name is R. Sai Shankar. In here, I'm publish a small PowerPoint Presentation on Artificial Intelligence. Here is the link for my YouTube Channel "Learn AI With Shankar". Please Like Share Subscribe. Thank you.
https://youtu.be/3N5C99sb-gc
Introduction of Artificial Intelligence, Intelligent Agents, and Behaviors of Artificial Agents, Structure of
Intelligent Agents. Problem solving and state space search, Uninformed Search, Heuristic search, Best‐
First Search, Heuristic Functions, Constraints satisfaction problem, Iterative Improvement Algorithms.
(Recommended lab practice sessions: Games as Search Problems, Alpha‐Beta Pruning, State‐of‐the‐Art
Game Programs.)
AI Introduction: AI is the new electricity (by Slash)Andries De Vos
Introductory talk on AI, given at Emerald Hub, co-working space, located at the Phnom Penh International University (PPIU) on 3 May 2017 to a tech audience.
Note:
Title based on talk from Andrew Ng with the same name.
Source material where relevant referenced in speaker notes.
Originally prepared by Andries, CEO of Slash, for an internal Slash team talk.
Artificial Intelligence is trendy. Every event, every strategy meeting and every consulting firm talks about it. This whitepaper aims to separate actual facts and important background information from the overarching marketing buzz.
You will get a short but information-rich wrap up about: What causes the current hype? Where are we today? What are the innovation leaders doing with AI? And what are immediate action points to focus on by applying artificial intelligence to your business?
What is Artificial Intelligence? : Everything You Need to Know about AIDashTechnologiesInc
Artificial Intelligence may be a buzzword now, but it’s not a new term. It was coined in 1956 by Minsky and McCarthy. Even though their effort to bring AI into the world’s attention failed, scientists and innovators started researching and developing machines that would mimic humans. In a nutshell;
Machine learning (ML) is the catalyst to a strong, flexible, and resilient business in today’s market. Smart organisations leverage ML to create top-to-bottom growth, employee productivity, and customer satisfaction.
These organisations have achieved success with a few ML use cases, but they can’t stop there. Experimenting with ML is the easy part. The harder part is integrating ML models into business applications and processes to scale ML across the enterprise.
Currently, most organisations lack the skills, processes, and tools to accomplish this. In order to successfully achieve ML at scale, organisations must invest in MLOps — the process, tools, and technology that streamlines and standardize each stage of the ML lifecycle from model development to operationalization.
International Journal of Artificial Intelligence & Applications (IJAIA)gerogepatton
The International Journal of Artificial Intelligence & Applications (IJAIA) is a bi monthly open
access peer-reviewed journal that publishes articles which contribute new results in all areas of
the Artificial Intelligence & Applications (IJAIA). It is an international journal intended for
professionals and researchers in all fields of AI for researchers, programmers, and software and
hardware manufacturers. The journal also aims to publish new attempts in the form of special
issues on emerging areas in Artificial Intelligence and applications.
Many questions arise around this topic: What is Artificial Intelligence and what isn't? What is possible today? How can my organisation use AI? Will this replace my job? What can we expect in the future?
We will answer these and more in our presentation. We help you understand the impact of digital on your business and give you concrete steps to start taking action.
This guide demystifies AI and democratizes AI knowledge on how it creates and delivers value. It provides an essential understanding of AI to anyone with varying technical knowledge, curiosity, and interest in the technology.
Artificial Intelligence (AI) is one of the hottest topics in the tech and startup world at the moment. The field of AI and its associated technologies present a range of opportunities – as well as challenges – for corporates. Learn more about what Artificial Intelligence means for your organization.
Introduction to Artificial Intelligence.pptxRSAISHANKAR
My name is R. Sai Shankar. In here, I'm publish a small PowerPoint Presentation on Artificial Intelligence. Here is the link for my YouTube Channel "Learn AI With Shankar". Please Like Share Subscribe. Thank you.
https://youtu.be/3N5C99sb-gc
Introduction of Artificial Intelligence, Intelligent Agents, and Behaviors of Artificial Agents, Structure of
Intelligent Agents. Problem solving and state space search, Uninformed Search, Heuristic search, Best‐
First Search, Heuristic Functions, Constraints satisfaction problem, Iterative Improvement Algorithms.
(Recommended lab practice sessions: Games as Search Problems, Alpha‐Beta Pruning, State‐of‐the‐Art
Game Programs.)
AI Introduction: AI is the new electricity (by Slash)Andries De Vos
Introductory talk on AI, given at Emerald Hub, co-working space, located at the Phnom Penh International University (PPIU) on 3 May 2017 to a tech audience.
Note:
Title based on talk from Andrew Ng with the same name.
Source material where relevant referenced in speaker notes.
Originally prepared by Andries, CEO of Slash, for an internal Slash team talk.
Artificial Intelligence is trendy. Every event, every strategy meeting and every consulting firm talks about it. This whitepaper aims to separate actual facts and important background information from the overarching marketing buzz.
You will get a short but information-rich wrap up about: What causes the current hype? Where are we today? What are the innovation leaders doing with AI? And what are immediate action points to focus on by applying artificial intelligence to your business?
What is Artificial Intelligence? : Everything You Need to Know about AIDashTechnologiesInc
Artificial Intelligence may be a buzzword now, but it’s not a new term. It was coined in 1956 by Minsky and McCarthy. Even though their effort to bring AI into the world’s attention failed, scientists and innovators started researching and developing machines that would mimic humans. In a nutshell;
What is Artificial Intelligence? by Simplilearn is an introduction to artificial intelligence that deals with the fundamentals of artificial intelligence and its critical technicalities. Artificial Intelligence In five Minutes tutorial video will help you enhance your knowledge of Artificial Intelligence. This video on AI Explained by Simplilearn covers the most Critical AI Concepts in the simplest ways.
00:00:00 Introduction to What is AI?
This video segment on what is AI? will cover the briefing on Artificial Intelligence.
00:00:30 What is AI?
This section of the What is AI? video will give the technical definition of AI.
00:00:57 Types of AI
This section of the What is AI? video will cover the types of AI available in the industry.
00:01:46 Machine learning and Deep learning
This section of the What is AI? video will cover the aspects of machine learning and deep learning in detail.
00:02:30 Deep Learning and NLP
This section of the What is AI? video will cover the aspects of Deep Learning and NLP in detail.
00:02:45 AI in different fields
This section of the What is AI? video will cover the various fields where AI is currently operational.
00:03:30 Salary of AI engineer
This section of the What is AI? video will cover the salary details of AI engineers.
00:03:48 Quiz on What is AI?
This section of the What is AI? video will have a quick and simple quiz question on AI.
🔥Enroll for Free Introduction to Artificial Intelligence Course & Get Your Completion Certificate: https://www.simplilearn.com/learn-ai-...
🔥Enroll for Artificial Intelligence Engineer Master's Course: https://www.simplilearn.com/artificia...
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You will be able to demonstrate the following ability after completing this Artificial Intelligence certification training:
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Cognitive computing: Fad or Game Changer - The Skeptics GuideAhmed Fattah
This article tries to sidestep the hype and uncover what is Cognitive Computing from a practitioner’s point of view and how it differs from the previous generation of AI. The focus is not on the theoretical aspects of AI but on the practical perspective required to apply Cognitive Computing on real-life problems.
Paper sharing_Patient health locus of control the design of information syste...YOU SHENG CHEN
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Paper sharing_An assisted approach to business process redesignYOU SHENG CHEN
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Normal labor is also termed spontaneous labor, defined as the natural physiological process through which the fetus, placenta, and membranes are expelled from the uterus through the birth canal at term (37 to 42 weeks
How to Add Chatter in the odoo 17 ERP ModuleCeline George
In Odoo, the chatter is like a chat tool that helps you work together on records. You can leave notes and track things, making it easier to talk with your team and partners. Inside chatter, all communication history, activity, and changes will be displayed.
A workshop hosted by the South African Journal of Science aimed at postgraduate students and early career researchers with little or no experience in writing and publishing journal articles.
Thinking of getting a dog? Be aware that breeds like Pit Bulls, Rottweilers, and German Shepherds can be loyal and dangerous. Proper training and socialization are crucial to preventing aggressive behaviors. Ensure safety by understanding their needs and always supervising interactions. Stay safe, and enjoy your furry friends!
A Strategic Approach: GenAI in EducationPeter Windle
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
Exploiting Artificial Intelligence for Empowering Researchers and Faculty, In...Dr. Vinod Kumar Kanvaria
Exploiting Artificial Intelligence for Empowering Researchers and Faculty,
International FDP on Fundamentals of Research in Social Sciences
at Integral University, Lucknow, 06.06.2024
By Dr. Vinod Kumar Kanvaria
Executive Directors Chat Leveraging AI for Diversity, Equity, and InclusionTechSoup
Let’s explore the intersection of technology and equity in the final session of our DEI series. Discover how AI tools, like ChatGPT, can be used to support and enhance your nonprofit's DEI initiatives. Participants will gain insights into practical AI applications and get tips for leveraging technology to advance their DEI goals.
Delivering Micro-Credentials in Technical and Vocational Education and TrainingAG2 Design
Explore how micro-credentials are transforming Technical and Vocational Education and Training (TVET) with this comprehensive slide deck. Discover what micro-credentials are, their importance in TVET, the advantages they offer, and the insights from industry experts. Additionally, learn about the top software applications available for creating and managing micro-credentials. This presentation also includes valuable resources and a discussion on the future of these specialised certifications.
For more detailed information on delivering micro-credentials in TVET, visit this https://tvettrainer.com/delivering-micro-credentials-in-tvet/
MATATAG CURRICULUM: ASSESSING THE READINESS OF ELEM. PUBLIC SCHOOL TEACHERS I...NelTorrente
In this research, it concludes that while the readiness of teachers in Caloocan City to implement the MATATAG Curriculum is generally positive, targeted efforts in professional development, resource distribution, support networks, and comprehensive preparation can address the existing gaps and ensure successful curriculum implementation.
4. Level. 1
Level. 2
Level. 3 Far surpassing that of the brightest
and most gifted human minds
Superintelligence
Could perform any intellectual task
that a human being can
Strong AI
Weak AI is able to solve just
one specific task
Weak AI
The different kind of AI
4
5. Reasoning
Learning
Action
What is AI need
Form Big Data
(Collect Internet, IoT,
Users information, etc.)
Using advanced algorithms
(Design by the engineer who is good at
Math、algorithms、computer science)
Apply the solution to the situation
5
8. There are three kinds of AI level
AI need manpower as well to build
AI will drive the insights revolution
Conclusion
8
9. Conclusion
9
〃Surely AI has, or will beat us on many analytical
tasks with definitive decisions and outcomes. But
these tasks are not what make us human. What
makes us human is that we are able to love.〃
Kai-Fu Lee
(The father of modern artificial intelligence)
12. Resources
1. Wiki-Artificial intelligence
https://en.wikipedia.org/wiki/Artificial_intelligence
2. Wiki-Superintelligence
https://en.wikipedia.org/wiki/Superintelligence
3. What is AI and why we need it
https://medium.com/dualcores-studio/ai人工智慧是-為何要有它-對我們有何影響-faa426bc556f
4. Artificial Intelligence - Rise beyond human intelligence
https://blog.paradisetechsoft.com/what-is-artificial-intelligence/
5. Big Data Is Too Big Without AI
https://online.maryville.edu/blog/big-data-is-too-big-without-ai/
12
13. Resources- media
1. AI camera VS normal camera (p.4)
https://kknews.cc/zh-tw/digital/42brly2.html
2. General Intelligence image (p.4)
https://www.topbots.com/despite-ai-hype-true-general-intelligence-still-reach/
3.Lucy(movie) poster (p.4)
https://en.wikipedia.org/wiki/Lucy_(2014_film)
2. Big data images (p.5)
https://sdtimes.com/data/big-data-go/
3. Light Bulb Icon (p.5)
http://www.sucaibar.com/icon/11425.html
4. Gear Icon (p.5)
http://newwaysys.com/2018/4/gear-icon-black-and-white-two-gears-vector_boozeworthy.com/
5. Data-find Icon (p.5)
http://snapbuilder.com/code_snippet_generator/icon_generator/customize.php?dir=Data&icon=Data-Find.png
6. Artificial-intelligence Icon (p.8)
https://www.cisco.com/c/en_ca/solutions/artificial-intelligence.html
7. (Video) Artificial Intelligence Explained In 2 Minutes
https://youtu.be/YnMYZbyE2FQ 13
Editor's Notes
In conclusion,
Today, We are discuss about three kind of AI level which are Weak AI, strong AI and Superintelligence.
Weak AI is like a simple smart application that people to use in life and industry.
Strong AI can do things which human can do. Superintelligence is fiction assume but many people believe there may appear.
Then, the Creator of AI is human so they need our experience or information from the internet that is why they need to collect lots of data.
Furthermore, AI will drive the insights revolution so we should smartly use AI not be replaced by AI.
At last, We will still discover more and have a convenience life.