How to Build a Chatbot with Tom Martin, Founder of LawDroidThomas G. Martin
Thinking a chatbot can help your clients? Learn how the basics to building your own chatbot that can screen clients or complete documents, all while syncing with your Clio account. Tom Martin, creator of LawDroid corporate filings, shares his expertise in building your own chatbot in this hands-on session.
To Make Your Chatbot Smart, You Need to Feed It Right: How to Write for Chatb...LavaConConference
Chatbots are becoming an increasingly popular delivery channel for many types of content, including customer support, marketing, and pre-sales. To make chatbots scalable, helpful, and smoothly integrated into the content ecosystem of your organization, you need to feed the chatbots with the right content prepared in the right way.
In this workshop, you’ll learn how to write content for chatbots in a way that lets the chatbots find the relevant content and precisely match it to the user’s request.
In this session, attendee’s will learn:
How chatbots work: approaches to recognizing user’s intent, handling incomplete requests, and finding matching content
How the content needs to be organized, structured, and written to be discoverable by the chatbot
How to not create an isolated, chatbot-specific content that would be available just for the chatbot
What makes content undiscoverable by the chatbot and makes the chatbot to give wrong or irrelevant answers
How to handle situations when the chatbot is unsure which content should be provided to the user
How to handle content variations (for example, product- or audience- specific)
AI - Artificial Intelligence - Implications for LibrariesBrian Pichman
What does the world of AI (artificial intelligence) mean for libraries? Can AI replace library services or how can libraries leverage the technology for more streamlined services. From Smart Houses, to Robots, to technology yet to be mainstreamed, this session will cover it all to help you better prepare and plan for the future.
Artificial Intelligence Vs Machine Learning Vs Deep Learningvenkatvajradhar1
This technology is no longer a matter of science fiction. Instead, we see artificial intelligence in every part of our lives. Smart assistants are on our phones and speakers, helping us find information and complete everyday tasks. At work, chatbots are affiliated with the Customer Support Team, with estimates that they will be responsible for 85% of customer service by next year.
How to Build a Chatbot with Tom Martin, Founder of LawDroidThomas G. Martin
Thinking a chatbot can help your clients? Learn how the basics to building your own chatbot that can screen clients or complete documents, all while syncing with your Clio account. Tom Martin, creator of LawDroid corporate filings, shares his expertise in building your own chatbot in this hands-on session.
To Make Your Chatbot Smart, You Need to Feed It Right: How to Write for Chatb...LavaConConference
Chatbots are becoming an increasingly popular delivery channel for many types of content, including customer support, marketing, and pre-sales. To make chatbots scalable, helpful, and smoothly integrated into the content ecosystem of your organization, you need to feed the chatbots with the right content prepared in the right way.
In this workshop, you’ll learn how to write content for chatbots in a way that lets the chatbots find the relevant content and precisely match it to the user’s request.
In this session, attendee’s will learn:
How chatbots work: approaches to recognizing user’s intent, handling incomplete requests, and finding matching content
How the content needs to be organized, structured, and written to be discoverable by the chatbot
How to not create an isolated, chatbot-specific content that would be available just for the chatbot
What makes content undiscoverable by the chatbot and makes the chatbot to give wrong or irrelevant answers
How to handle situations when the chatbot is unsure which content should be provided to the user
How to handle content variations (for example, product- or audience- specific)
AI - Artificial Intelligence - Implications for LibrariesBrian Pichman
What does the world of AI (artificial intelligence) mean for libraries? Can AI replace library services or how can libraries leverage the technology for more streamlined services. From Smart Houses, to Robots, to technology yet to be mainstreamed, this session will cover it all to help you better prepare and plan for the future.
Artificial Intelligence Vs Machine Learning Vs Deep Learningvenkatvajradhar1
This technology is no longer a matter of science fiction. Instead, we see artificial intelligence in every part of our lives. Smart assistants are on our phones and speakers, helping us find information and complete everyday tasks. At work, chatbots are affiliated with the Customer Support Team, with estimates that they will be responsible for 85% of customer service by next year.
Organizations today have lots and lots of data. Typically when it comes to data analysis we have to know what our measures of success are before we design our BI. These are typically manifested by competency, or domain driven KPI's but what if those metrics don't actually measure success at all? In this talk we will be discussing how to leverage azure machine learning to answer questions in your organization about success and how to find the KPI's that really matter and drive results.
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
Panel: AI for Social Good - Fairness, Ethics, Accountability, and TransparencyAmazon Web Services
As we begin to harness the power of artificial intelligence, machine learning, and data science in our everyday lives, we also raise complex ethical and social questions associated with bias, fairness, and transparency of algorithmic intelligence. In this panel we get into the thick of the issue. How can we best use AI with shared responsibilities between humans and systems? How can we balance the need for efficiency and exploration with fairness and sensitivity to users? How do we ensure that individuals and communities can trust these systems? Join our discussion to enrich your understanding of human-AI interaction, and how these questions will be answered in AI research, education and policies, as we strive to improve the human condition.
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
Applying Machine Learning and Artificial Intelligence to BusinessRussell Miles
Machine Learning is coming out of the halls of Academia and straight into the arms of those businesses looking for a competitive edge.
This session by the experts of GoDataScience.io on machine learning is designed to give a high level overview of the field of machine learning for business consumers covering:
- What Machine Learning is
- Where it came from
- Why we need it
- Why now
- How to make it real with the various toolkits and processes.
Demystifying Artificial Intelligence: Solving Difficult Problems at ProductCa...Carol Smith
Artificially intelligent systems are becoming part of our everyday lives. This session will answer your questions about artificial intelligence, machine learning, and the ethical conflicts and the implications inherent in these technologies. Topics covered will include: discussions of bias in data; how to focus on the user experience; what is necessary to build a good cognitive computing systems; data needs; levels of accuracy; making safe and secure AI's; and discussions on ethics in AI and our role in leading those conversations. Carol will propose simple models for thinking about these systems and provide time for questions. You will walk away with an awareness of the weaknesses of AI and the knowledge of how these systems work.
Selected by the audience to be presented at ProductCamp Pittsburgh in September 2018
What's ahead: the future of intelligent knowledge management - Dan Turchin - ...PeopleReign, Inc.
AI and the future of Knowledge Management - from a presentation to the SDI (Service Desk Institute) knowledge management seminar June 11, 2020. Topics covered: 1) How will AI improve knowledge management? 2) Where is it working today? 3) Where should we start?
A Theory of Knowledge Lecture given by Mark Steed, Director of JESS Dubai on Monday 4th March 2019
The lecture explains how AI works and then looks at some of the ethical implications
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.
While Machine Learning became the buzzword very recently, the term artificial intelligence (AI) has been around for 60 years.
The world is quietly being reshaped by machine learning. We no longer need to teach computers how to perform complex tasks like image recognition or text translation: instead, we build systems that let them learn how to do it themselves.
Today's managers should know whats coming next.
Organizations today have lots and lots of data. Typically when it comes to data analysis we have to know what our measures of success are before we design our BI. These are typically manifested by competency, or domain driven KPI's but what if those metrics don't actually measure success at all? In this talk we will be discussing how to leverage azure machine learning to answer questions in your organization about success and how to find the KPI's that really matter and drive results.
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
Panel: AI for Social Good - Fairness, Ethics, Accountability, and TransparencyAmazon Web Services
As we begin to harness the power of artificial intelligence, machine learning, and data science in our everyday lives, we also raise complex ethical and social questions associated with bias, fairness, and transparency of algorithmic intelligence. In this panel we get into the thick of the issue. How can we best use AI with shared responsibilities between humans and systems? How can we balance the need for efficiency and exploration with fairness and sensitivity to users? How do we ensure that individuals and communities can trust these systems? Join our discussion to enrich your understanding of human-AI interaction, and how these questions will be answered in AI research, education and policies, as we strive to improve the human condition.
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
Applying Machine Learning and Artificial Intelligence to BusinessRussell Miles
Machine Learning is coming out of the halls of Academia and straight into the arms of those businesses looking for a competitive edge.
This session by the experts of GoDataScience.io on machine learning is designed to give a high level overview of the field of machine learning for business consumers covering:
- What Machine Learning is
- Where it came from
- Why we need it
- Why now
- How to make it real with the various toolkits and processes.
Demystifying Artificial Intelligence: Solving Difficult Problems at ProductCa...Carol Smith
Artificially intelligent systems are becoming part of our everyday lives. This session will answer your questions about artificial intelligence, machine learning, and the ethical conflicts and the implications inherent in these technologies. Topics covered will include: discussions of bias in data; how to focus on the user experience; what is necessary to build a good cognitive computing systems; data needs; levels of accuracy; making safe and secure AI's; and discussions on ethics in AI and our role in leading those conversations. Carol will propose simple models for thinking about these systems and provide time for questions. You will walk away with an awareness of the weaknesses of AI and the knowledge of how these systems work.
Selected by the audience to be presented at ProductCamp Pittsburgh in September 2018
What's ahead: the future of intelligent knowledge management - Dan Turchin - ...PeopleReign, Inc.
AI and the future of Knowledge Management - from a presentation to the SDI (Service Desk Institute) knowledge management seminar June 11, 2020. Topics covered: 1) How will AI improve knowledge management? 2) Where is it working today? 3) Where should we start?
A Theory of Knowledge Lecture given by Mark Steed, Director of JESS Dubai on Monday 4th March 2019
The lecture explains how AI works and then looks at some of the ethical implications
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.
While Machine Learning became the buzzword very recently, the term artificial intelligence (AI) has been around for 60 years.
The world is quietly being reshaped by machine learning. We no longer need to teach computers how to perform complex tasks like image recognition or text translation: instead, we build systems that let them learn how to do it themselves.
Today's managers should know whats coming next.
Introduction to Artificial Intelligence: AIM tinkering Lab Unit 1Debashis Banerjee
This is a adapted slide deck version for Unit 1 for students from the Niti aayog Atal Tinkering Labs for artificial intelligence. It is structured with 4 think and answer, 3 experiment and do and 4 watch and learn. Any MoC (Mentor of change) can reuse if they find useful as it's derived from the ATL AI course which is a single document and not in a presentation form. This one is better suited to in classroom session.
Unlocking AI Potential with Proitbridge's Best Artificial Intelligence Course...proitbridgePvtLtd
Proitbridge offers the best artificial intelligence course in Bangalore for skill enhancement. Join us to explore AI. For more info call us: at 9740230130 or Visit Our Website:www.proitbridge.com
#aicoursesinbangalore #aicoursebangalore #artificialintelligencecourseinbangalore #aicoursesbangalore #bangaloreaicourse
Object Automation Software Solutions Pvt Ltd in collaboration with SRM Ramapuram delivered Workshop for Skill Development on Artificial Intelligence.
Introduction to AI by Mr.Vaibhav Raja, Research Scholar from Object Automation.
AI, Machine Learning & Data: What Businesses Need to Know!
From autonomous driving to predictive analytics, robotic manufacturing to smart homes, how we live, work and play is impacted in profound ways.
CloudFactory makes it super EASY to offload data work so our customers can focus on innovation and growth. We specialize in preparing and organizing data sets and work with companies like Microsoft, Embark, Drive.ai, FaceTec to implement them into building innovative AI, ML and other complex technologies.
Artificial intelligence (AI) mimics human intelligence and falls under the field of computer science. In simple words, AI develops intelligent systems that has the power to simulate human intelligence. It is constituted of two words “Artificial” and “Intelligence” which is defined as “a human-made thinking power.”
On the other hand, ML falls under the umbrella term of artificial intelligence. It is a subset whereas AI is the overall subject of acting smart. ML processes data and learns facts which could be difficult for humans due to any reason. ML has the potency to think and act beyond human intelligence. It is best to leverage this technology for managing humongous sets of data rapidly with the help of algorithms which erratically change and get better over time.
AI encompasses a wide range of subfields, including machine learning, natural language processing, computer vision, robotics, and more. It aims to create systems that can perform tasks that typically require human intelligence, such as speech recognition, image recognition, decision-making, and problem-solving.
In this blog post, we will explore the key skills required to master the art of Artificial Intelligence.
https://artificialintelligence-institute.blogspot.com/2023/06/skills-in-artificial-intelligence.html
Decoding L&D Jargon: How Learning Can Use Machine Learning and AIDavid Blake
Artificial intelligence (AI) and machine learning could prove to be invaluable as solutions to both hiring and modern skill development challenges. The problem? Many of us don’t actually know the differences, and most tech providers that say they do AI don’t actually provide exactly that.
This webinar provided a better understanding of these terms and how they can be used to benefit both employees and L&D management.
APNIC Foundation, presented by Ellisha Heppner at the PNG DNS Forum 2024APNIC
Ellisha Heppner, Grant Management Lead, presented an update on APNIC Foundation to the PNG DNS Forum held from 6 to 10 May, 2024 in Port Moresby, Papua New Guinea.
Bridging the Digital Gap Brad Spiegel Macon, GA Initiative.pptxBrad Spiegel Macon GA
Brad Spiegel Macon GA’s journey exemplifies the profound impact that one individual can have on their community. Through his unwavering dedication to digital inclusion, he’s not only bridging the gap in Macon but also setting an example for others to follow.
Instagram has become one of the most popular social media platforms, allowing people to share photos, videos, and stories with their followers. Sometimes, though, you might want to view someone's story without them knowing.
Italy Agriculture Equipment Market Outlook to 2027harveenkaur52
Agriculture and Animal Care
Ken Research has an expertise in Agriculture and Animal Care sector and offer vast collection of information related to all major aspects such as Agriculture equipment, Crop Protection, Seed, Agriculture Chemical, Fertilizers, Protected Cultivators, Palm Oil, Hybrid Seed, Animal Feed additives and many more.
Our continuous study and findings in agriculture sector provide better insights to companies dealing with related product and services, government and agriculture associations, researchers and students to well understand the present and expected scenario.
Our Animal care category provides solutions on Animal Healthcare and related products and services, including, animal feed additives, vaccination
Meet up Milano 14 _ Axpo Italia_ Migration from Mule3 (On-prem) to.pdfFlorence Consulting
Quattordicesimo Meetup di Milano, tenutosi a Milano il 23 Maggio 2024 dalle ore 17:00 alle ore 18:30 in presenza e da remoto.
Abbiamo parlato di come Axpo Italia S.p.A. ha ridotto il technical debt migrando le proprie APIs da Mule 3.9 a Mule 4.4 passando anche da on-premises a CloudHub 1.0.
17. Artificial neural networks —
algorithms inspired by the way
neurons work in the brain
find patterns in raw data by
combining multiple layers of
artificial neurons.