This follow up post on the subject of Artificial Intelligence focuses on Expert Systems and the role of traditional experts in their design and development. It explores four main themes:
What do we mean by Expert?
How do experts work?
Expert Systems Application Domains, and
Features of rule based Expert (KB) Systems
Artificial Intelligence in Project Management by Dr. Khaled A. HamdyAgile ME
Video recording of the Dr. Khaled's session can be found at https://youtu.be/TFNhvAXNU5E.
The presentation explores how Artificial Intelligence (AI) can be used in the Project Management field. The origins and history of AI are discussed followed by a brief simplified explanation of the theories behind its application. The actual utilization of AI tools in the Project Management domain is discussed covering diverse areas such as Engineering Design, Cost Estimating and Bidding, Planning and Scheduling, Risk Management, Performance Prediction as well as Project Monitoring and Control. The presentation concludes by a brief discussion about Data Management and Knowledge Engineering and how they are used today to simplify (or complicate) our lives.
Prepping the Analytics organization for Artificial Intelligence evolutionRamkumar Ravichandran
This is a discussion document to be used at the Big Data Spain at Madrid on Nov 18th, 2016. The key takeaway from the deck is that AI is reality and much closer than we realize. It will impact our Analytics Community in a very different way vs. an average Consumer. We can shape and guide the revolution if we start preparing for it now - right from our mindset, design thinking principles and productization of Analytics (API-zation). AI is a need to address the problems of scale, speed, precision in the world that is getting more and more complex around us - it is not humanly possible to answer all the questions ourselves and we will need machines to do it for us. The flow of the story line begins with a reality check on popular misconceptions and some background on AI. It then delves into all the ways it can optimize the current flow and ends with the "Managing Innovation Playbook" a set of three steps that should guide our innovation programs - Strategy, Execution & Transformation, i.e., the principles that tell us what we want to get out of it, how to get it done and finally how much the benefits permanent and consistently improving.
Would love to hear your feedback, thoughts and reactions.
Ajit Jaokar, Data Science for IoT professor at Oxford University “Enterprise ...Dataconomy Media
“Enterprise AI - Artificial Intelligence for the Enterprise."
AI is impacting many areas today. This talk discusses how AI will impact the Enterprise and what it means in the near future. The talk is based on my course I teach at the University of Oxford.
Artificial Intelligence for Business - Version 2Nicola Mattina
This presentation is part of a workshop that will help you understand artificial intelligence tools and how they can be employed across your organization.
Lectures and activities are customized considering the background of the participants to highlight the use of artificial intelligence in a specific industry and in three different areas: product development, customer care, business operations.
Workshop structure
120’ lectures
2 activities to apply the concepts
1 practical toolkit
This follow up post on the subject of Artificial Intelligence focuses on Expert Systems and the role of traditional experts in their design and development. It explores four main themes:
What do we mean by Expert?
How do experts work?
Expert Systems Application Domains, and
Features of rule based Expert (KB) Systems
Artificial Intelligence in Project Management by Dr. Khaled A. HamdyAgile ME
Video recording of the Dr. Khaled's session can be found at https://youtu.be/TFNhvAXNU5E.
The presentation explores how Artificial Intelligence (AI) can be used in the Project Management field. The origins and history of AI are discussed followed by a brief simplified explanation of the theories behind its application. The actual utilization of AI tools in the Project Management domain is discussed covering diverse areas such as Engineering Design, Cost Estimating and Bidding, Planning and Scheduling, Risk Management, Performance Prediction as well as Project Monitoring and Control. The presentation concludes by a brief discussion about Data Management and Knowledge Engineering and how they are used today to simplify (or complicate) our lives.
Prepping the Analytics organization for Artificial Intelligence evolutionRamkumar Ravichandran
This is a discussion document to be used at the Big Data Spain at Madrid on Nov 18th, 2016. The key takeaway from the deck is that AI is reality and much closer than we realize. It will impact our Analytics Community in a very different way vs. an average Consumer. We can shape and guide the revolution if we start preparing for it now - right from our mindset, design thinking principles and productization of Analytics (API-zation). AI is a need to address the problems of scale, speed, precision in the world that is getting more and more complex around us - it is not humanly possible to answer all the questions ourselves and we will need machines to do it for us. The flow of the story line begins with a reality check on popular misconceptions and some background on AI. It then delves into all the ways it can optimize the current flow and ends with the "Managing Innovation Playbook" a set of three steps that should guide our innovation programs - Strategy, Execution & Transformation, i.e., the principles that tell us what we want to get out of it, how to get it done and finally how much the benefits permanent and consistently improving.
Would love to hear your feedback, thoughts and reactions.
Ajit Jaokar, Data Science for IoT professor at Oxford University “Enterprise ...Dataconomy Media
“Enterprise AI - Artificial Intelligence for the Enterprise."
AI is impacting many areas today. This talk discusses how AI will impact the Enterprise and what it means in the near future. The talk is based on my course I teach at the University of Oxford.
Artificial Intelligence for Business - Version 2Nicola Mattina
This presentation is part of a workshop that will help you understand artificial intelligence tools and how they can be employed across your organization.
Lectures and activities are customized considering the background of the participants to highlight the use of artificial intelligence in a specific industry and in three different areas: product development, customer care, business operations.
Workshop structure
120’ lectures
2 activities to apply the concepts
1 practical toolkit
Artificial Intelligence (AI) -> understanding what it is & how you can use it...Adela VILLANUEVA
The goal of this presentation is to provide you with a basic understanding of AI and to prepare you to think about how your organization might apply it.
Presenting this set of slides with name - Artificial Intelligence Overview Powerpoint Presentation Slides. This complete deck is oriented to make sure you do not lag in your presentations. Our creatively crafted slides come with apt research and planning. This exclusive deck with thirtyseven slides is here to help you to strategize, plan, analyse, or segment the topic with clear understanding and apprehension. Utilize ready to use presentation slides on Artificial Intelligence Overview Powerpoint Presentation Slides with all sorts of editable templates, charts and graphs, overviews, analysis templates. It is usable for marking important decisions and covering critical issues. Display and present all possible kinds of underlying nuances, progress factors for an all inclusive presentation for the teams. This presentation deck can be used by all professionals, managers, individuals, internal external teams involved in any company organization.
Reinforcement Learning In AI Powerpoint Presentation Slide Templates Complete...SlideTeam
Showcase how machines are built to perform intelligent tasks by using our content-ready Reinforcement Learning In AI PowerPoint Presentation Slide Templates Complete Deck. Take advantage of these artificial intelligence PowerPoint visuals, and describe how machine learning models are trained to make sequences of decisions in a complex environment. Showcase the types of artificial intelligence such as deep learning, machine learning. Explain the concept of machine learning which delivers predictive models based on the data fed into machine learning algorithms. Take the assistance of our visually attention-grabbing reinforcement learning PowerPoint templates and discuss the effective uses of artificial intelligence in various areas such as supply chain, human resources, fraud detection, knowledge creation, research, and development, etc. You can also present the usage of AI in healthcare. This includes treatment, diagnosis, training and research, early detection, etc. Explain the working of machine learning by downloading our attention-grabbing supervised learning PowerPoint presentation. https://bit.ly/3kQBnEZ
Artificial intelligence in practice- part-1GMR Group
Summary is made in 5 parts-
This is Part -1
Cyber-solutions to real-world business problems Artificial Intelligence in Practice is a fascinating look into how companies use AI and machine learning to solve problems. Presenting 50 case studies of actual situations, this book demonstrates practical applications to issues faced by businesses around the globe.
• The rapidly evolving field of artificial intelligence has expanded beyond research labs and computer science departments and made its way into the mainstream business environment.
• Artificial intelligence and machine learning are cited as the most important modern business trends to drive success.
• It is used in areas ranging from banking and finance to social media and marketing.
• This technology continues to provide innovative solutions to businesses of all sizes, sectors and industries.
• This engaging and topical book explores a wide range of cases illustrating how businesses use AI to boost performance, drive efficiency, analyse market preferences and many others.
• This detailed examination provides an overview of each company, describes the specific problem and explains how AI facilitates resolution.
• Each case study provides a comprehensive overview, including some technical details as well as key learning summaries:
o Understand how specific business problems are addressed by innovative machine learning methods Explore how current artificial intelligence applications improve performance and increase efficiency in various situations
o Expand your knowledge of recent AI advancements in technology
o Gain insight on the future of AI and its increasing role in business and industry
o Artificial Intelligence in Practice: How 50 Successful Companies Used Artificial Intelligence to Solve Problems is an insightful and informative exploration of the trans-formative power of technology in 21st century commerce
Artificial intelligence (Ai) is back, and the tech industry’s interest is stronger than ever. Ai will have an important impact on the design and creation of software. Application development and delivery (AD&D) professionals need to understand the potential benefits Ai will bring, not only to how they build software but also to the nature of the applications themselves. in parallel, AD&D pros should not ignore the challenges and risks that come with Ai. this report is the first of a series that will examine the impact of Ai on software development and separate myth from reality
Artificial Intelligence Research Topics for PhD Manuscripts 2021 - PhdassistancePhD Assistance
Imagine a world where knowledge isn’t limited to humans!!! A world in which computers will think and collaborate with humans to create a more exciting universe. Although this future is still a long way off, Artificial Intelligence has made significant progress in recent years. In almost every area of AI, such as quantum computing, healthcare, autonomous vehicles, the internet of things, robotics, and so on, there is a lot of research going on. So much so that the number of annual Published Research Papers on Artificial Intelligence has increased by 90% since 1996.
Ph.D. Assistance serves as an external mentor to brainstorm your idea and translate that into a research model. Hiring a mentor or tutor is common and therefore let your research committee know about the same. We do not offer any writing services without the involvement of the researcher.
Learn More: https://bit.ly/2Sdlfn4
Contact Us:
Website: https://www.phdassistance.com/
UK NO: +44–1143520021
India No: +91–4448137070
WhatsApp No: +91 91769 66446
Email: info@phdassistance.com
The slide helps to get an insight on the concepts of Artificial Intelligence.
The topics covered are as follows,
* Concept of AI
* Meaning of AI
* History of AI
* Levels of AI
* Types of AI
* Applications of AI - Agriculture, Health, Business (Emerging market), Education
* AI Tools and Platforms
Artificial Intelligence (AI) -> understanding what it is & how you can use it...Adela VILLANUEVA
The goal of this presentation is to provide you with a basic understanding of AI and to prepare you to think about how your organization might apply it.
Presenting this set of slides with name - Artificial Intelligence Overview Powerpoint Presentation Slides. This complete deck is oriented to make sure you do not lag in your presentations. Our creatively crafted slides come with apt research and planning. This exclusive deck with thirtyseven slides is here to help you to strategize, plan, analyse, or segment the topic with clear understanding and apprehension. Utilize ready to use presentation slides on Artificial Intelligence Overview Powerpoint Presentation Slides with all sorts of editable templates, charts and graphs, overviews, analysis templates. It is usable for marking important decisions and covering critical issues. Display and present all possible kinds of underlying nuances, progress factors for an all inclusive presentation for the teams. This presentation deck can be used by all professionals, managers, individuals, internal external teams involved in any company organization.
Reinforcement Learning In AI Powerpoint Presentation Slide Templates Complete...SlideTeam
Showcase how machines are built to perform intelligent tasks by using our content-ready Reinforcement Learning In AI PowerPoint Presentation Slide Templates Complete Deck. Take advantage of these artificial intelligence PowerPoint visuals, and describe how machine learning models are trained to make sequences of decisions in a complex environment. Showcase the types of artificial intelligence such as deep learning, machine learning. Explain the concept of machine learning which delivers predictive models based on the data fed into machine learning algorithms. Take the assistance of our visually attention-grabbing reinforcement learning PowerPoint templates and discuss the effective uses of artificial intelligence in various areas such as supply chain, human resources, fraud detection, knowledge creation, research, and development, etc. You can also present the usage of AI in healthcare. This includes treatment, diagnosis, training and research, early detection, etc. Explain the working of machine learning by downloading our attention-grabbing supervised learning PowerPoint presentation. https://bit.ly/3kQBnEZ
Artificial intelligence in practice- part-1GMR Group
Summary is made in 5 parts-
This is Part -1
Cyber-solutions to real-world business problems Artificial Intelligence in Practice is a fascinating look into how companies use AI and machine learning to solve problems. Presenting 50 case studies of actual situations, this book demonstrates practical applications to issues faced by businesses around the globe.
• The rapidly evolving field of artificial intelligence has expanded beyond research labs and computer science departments and made its way into the mainstream business environment.
• Artificial intelligence and machine learning are cited as the most important modern business trends to drive success.
• It is used in areas ranging from banking and finance to social media and marketing.
• This technology continues to provide innovative solutions to businesses of all sizes, sectors and industries.
• This engaging and topical book explores a wide range of cases illustrating how businesses use AI to boost performance, drive efficiency, analyse market preferences and many others.
• This detailed examination provides an overview of each company, describes the specific problem and explains how AI facilitates resolution.
• Each case study provides a comprehensive overview, including some technical details as well as key learning summaries:
o Understand how specific business problems are addressed by innovative machine learning methods Explore how current artificial intelligence applications improve performance and increase efficiency in various situations
o Expand your knowledge of recent AI advancements in technology
o Gain insight on the future of AI and its increasing role in business and industry
o Artificial Intelligence in Practice: How 50 Successful Companies Used Artificial Intelligence to Solve Problems is an insightful and informative exploration of the trans-formative power of technology in 21st century commerce
Artificial intelligence (Ai) is back, and the tech industry’s interest is stronger than ever. Ai will have an important impact on the design and creation of software. Application development and delivery (AD&D) professionals need to understand the potential benefits Ai will bring, not only to how they build software but also to the nature of the applications themselves. in parallel, AD&D pros should not ignore the challenges and risks that come with Ai. this report is the first of a series that will examine the impact of Ai on software development and separate myth from reality
Artificial Intelligence Research Topics for PhD Manuscripts 2021 - PhdassistancePhD Assistance
Imagine a world where knowledge isn’t limited to humans!!! A world in which computers will think and collaborate with humans to create a more exciting universe. Although this future is still a long way off, Artificial Intelligence has made significant progress in recent years. In almost every area of AI, such as quantum computing, healthcare, autonomous vehicles, the internet of things, robotics, and so on, there is a lot of research going on. So much so that the number of annual Published Research Papers on Artificial Intelligence has increased by 90% since 1996.
Ph.D. Assistance serves as an external mentor to brainstorm your idea and translate that into a research model. Hiring a mentor or tutor is common and therefore let your research committee know about the same. We do not offer any writing services without the involvement of the researcher.
Learn More: https://bit.ly/2Sdlfn4
Contact Us:
Website: https://www.phdassistance.com/
UK NO: +44–1143520021
India No: +91–4448137070
WhatsApp No: +91 91769 66446
Email: info@phdassistance.com
The slide helps to get an insight on the concepts of Artificial Intelligence.
The topics covered are as follows,
* Concept of AI
* Meaning of AI
* History of AI
* Levels of AI
* Types of AI
* Applications of AI - Agriculture, Health, Business (Emerging market), Education
* AI Tools and Platforms
Unlocking New Todays: Artificial Intelligence and Data Platforms on AWSAmazon Web Services
In this session, you will learn about our strategy for driving machine learning innovation for our customers and learn what’s new from AWS in the machine learning space. We will discuss and demonstrate the latest new services for ML on AWS: Amazon SageMaker, AWS DeepLens, Amazon Rekogntion Video, Amazon Translate, Amazon Transcribe, and Amazon Comprehend. Attend this session to understand how to make the most of machine learning in the cloud.
Artificial intelligence (AI) all in one presentation consists of almost all concepts of Artificial intelligence. i.e.
Artificial intelligence, Robotics, ANN, NLP, NLU, History of AI, History, Pakistan, basharat jehan, agriculture university peshawar, Forward and Backward Chaining, Grammers in AI, Morphology, Examples of Expert system, Laws of Robotics,Expert system languages, Syntactic Analysis in NLP, Lecture Notes
With the vigorous development of emerging information technology, artificial intelligence application scenarios are everywhere. When it comes to AI, the first thing we think of is machine learning and deep learning. However, they are only part of the field of artificial intelligence research. The scope of artificial intelligence is extremely wide. This presentation describes the hot topics in artificial intelligence research and ten major technical categories.
Similar to Artificial intelligence Overview by Ramya Mopidevi (20)
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Let's dive deeper into the world of ODC! Ricardo Alves (OutSystems) will join us to tell all about the new Data Fabric. After that, Sezen de Bruijn (OutSystems) will get into the details on how to best design a sturdy architecture within ODC.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
2. Artificial Intelligence
2
Artificial intelligence aims to create intelligent machines similar to human beings that perceive their environment and
take actions that maximize their chance of success at some goal.
Sociology
Philosophy
Computer
Science
Psychology
Neuron
Science
Biology
Mathematic
s
Areas Contributing to AI Key AI Enablers
Parallel and cheaper
computing
Innovative
Algorithms
Real-time
Data and Big
Data
Knowledge
Planning
Reasoning
Problem Solving
Perception
Learning
Motion & Manipulation
AI Goals
3. Types of Artificial Intelligence
3
General Intelligence
Superintelligence
Perform any intellectual
task that a human being can
Scientific Creativity,
General wisdom and social
skills
Planning
Strategy for performing an
action
Expert Systems
Solve domain specific
complex problems
Machine
learning
Continuous learning for
better prediction
Speech & Voice
Recognition
Understand spoken
language to perform an
action
Natural Language
Processing
Dialogue between human
and intelligent machines
Vision Systems
Image processing &
computer vision using
learning algorithms
Robotics
Motion and manipulation in
physical world
WeakAINarrowAI
FullAIAI-Complete
Applied AI
Strong AI
4.
5. Planning
5
AI that is concerned with the decision making and realization of strategies or action sequences performed by
intelligent agents, autonomous robots and unmanned vehicles when trying to achieve a goal
Artificial Intelligence
Planning
Actions on
Agents
to achieve
goals
Goals
Initial States
AI Planning Systems & Techniques
• The Stanford Research Institute
Problem Solver (STRIPS) using
Planning Domain Definition
Language (PDDL)
• GraphPlan
• Hierarchical Task Networks
• Partial Order Planning (PoP)
• Preference based planning
Algorithms for Planning
• Classical planning
• Reduction to other problems
• Temporal planning
• Probabilistic planning
Benefits of Planning
Goal directed
Reducing search
Resolving goal conflicts
Easy error recovery
6.
7. Expert Systems
7
The expert systems are the applications developed to solve complex problems in a particular domain, at the level of
extra-ordinary human intelligence and expertise.
Benefits of Expert Systems
Improved Decision Quality
High Performance
Availability
Speed
Less error rate
Steady response
Domain Description
Financial Decision
Making
Insurance companies have used expert systems to assess the risk presented by the
customer and to determine a price for the insurance
Design and
Manufacturing
Assist in the design of physical devices and processes, ranging from high-level
conceptual design of abstract entities all the way to factory floor configuration of
manufacturing processes.
Process Monitoring
and Control
Analyze real-time data from physical devices with the goal of noticing anomalies,
predicting trends, and controlling for both optimality and failure correction
Inference Engine Strategies:
Forward Chaining – “What
can happen next”
Backward Chaining –
“Why this happened”
User
(May not be
an expert)
Domain
Expert
Knowledge
Engineer
Knowledge
Base
Facts (IF-THEN Rule)
Inference
Engine
Rules & Reasoning
User
Interface
Knowledge
Expert System
8.
9. Machine Learning
9
Gives the computers the ability to learn without being explicitly programmed. It continuously observes a series of actions
performed over a period of time and uses this knowledge to build and enhance the predictive model for better decision making
Machine
Learning
Input
Output
Algorithm
Build Predictive
Model
Training
Data
Learn
Algorithm
Perform
Tasks
Feedback
Supervised Machine LearningMachine Learning
Supervised
Algorithms that can
apply what has been
learned in the past to
new data
Unsupervised
Clustering of
observation data to
come up with unknown
pattern
Deep
Learn through
hierarchy of simple and
complex concepts
Reinforcement
Observe environment
and make adjustments
if negative for better
decision making
Active
Learn by asking
questions to increase
confidence
Evolutionary
Learn to optimize using
introduced randomness
Benefits
Learning from high
volume data
Feature learning in a
short span of time
Parameter
optimization
10. Machine Learning Industry Trends
10
Top 5 Machine Learning APIs
Domain Description
Data Security Machine learning algorithms can look for patterns in how data in the cloud is
accessed, and report anomalies that could predict security breaches.
Personal Security Machine learning can speed up the screening process at public places such as
airports, stadium, concerts etc. significantly to ensure safer events and
eliminate false alarms
Financial Trading Many prestigious trading firms use proprietary machine learning systems to
predict and execute trades at high speeds and high volume.
Healthcare Machine learning systems are vastly used in medical industry for predicting
cancer, diabetics risk factors even before they are diagnosed
Marketing
Personalization
Using Machine learning companies can personalize which emails a customer
receives, which direct mailings or coupons, which offers they see, which
products show up as “recommended” and so on, all designed to lead the
consumer more reliably towards a sale.
Automotive Machine learning allows smart car to learn about its owner and its
environment. It will adjust the internal settings — temperature, audio, seat
position, etc. — automatically based on the driver, report and even fix
problems itself
• Facebook ML algorithm to
prevent suicide
• Facebook personalized news
feed
• Google search engine
• Google Maps
• Google Assistant
• Waymo - Self Driving car
• Cortana Intelligence suite
• Kinect Gesture Recognition
• MS Word Editor to flag words
Real-World Machine Learning
11. Deep Learning
11
Deep learning uses Artificial Neural Network with many layers to learn optimal model parameters for a feature extraction.
It creates an algorithm that will automatically decide which features work best to accomplish a task. Deep learning can be
trained both in supervised or unsupervised manner.
• Hidden nodes form multiple layers of nonlinear
processing units
• These units transforms low-level input data into high-
level representations of data by finding patterns at
each preceding level forming complex patterns for
more accurate prediction
Input nodes similar to
neurons that receive input
signal – (images of
Cat/Dog/Man/Women)
Output nodes are
similar to neurons that
sends and output
signal (Result
Prediction)
Benefits
Inputs can be texts,
images, sensors’ data and
even sound
Pattern recognition
12. Deep Learning Industry Trends
12
Application Description
Colorization of
Images
Deep learning can be used to use the objects and their
context within the photograph to color the image, much like a
human operator might approach the problem.
Sounds To
Silent Movies
A deep learning model associates the video frames with a
database of pre-rerecorded sounds in order to select a sound
to play that best matches what is happening in the scene.
Automatic
Machine
Translation
Text translation can be performed without any preprocessing
of the sequence, allowing the algorithm to learn the
dependencies between words and their mapping to a new
language
Object
Classification in
Photographs
Deep learning enables classification of objects within a
photograph as one of a set of previously known objects
Real-World Machine Learning
• Google Brain Project
• DeepMind (Acquired)
Deep learning algorithms are applied to the other fields like
• Computer vision
• Automatic speech recognition
• Natural language processing
• Bioinformatics
13.
14. Speech and Voice Recognition
14
Automatic speech and voice recognition is computer's ability to understand and translate a spoken language and into text or
perform some task associated with it. Deep Learning and Big Data are key enablers for Automatic Speech Recognition.
Modern End-to-End Automatic Speech
Recognition Systems
• Listen, Attend and Spell (LAS)
• Latent Sequence Decompositions (LSD)
• Watch, Listen, Attend and Spell" (WLAS)
Speech
Recognition
Speaker independent, hence training is not
involved
Voice
Recognition
Speaker dependent, hence software needs to
be trained with unique characteristics of
speaker’s voice. Typically used for biometric
authentication
Analog to
Digital
Acoustic
Model
Language
Model
Speech
Engine
Display
Feedback
Acoustic Model creates statistical representation of sounds that make up each word
Language Model captures the properties of language
Benefits of Speech Recognition
Reduce costs
Increase effectiveness
Emotion analysisSpeech Recognition Process
15. Speech Recognition Industry Trends
15
Liv.Ai’s API – Gappi chat app available in multiple Indian languages that converts speech into text.
Application Description
Hands-free
Navigation
Ask destination distance and time to reach on GPS connected digital
maps
Automated
Identification
Create a ‘voiceprint’ based on specific text such as ‘Name’ and
‘Account Number’ which is stored against the individual’s record. so
when they next call, they can simply say their name and the person is
put straight through to a customer service representative
Removing IVR
menus
‘intelligent call steering’ (ICS) does not involve any ‘button pushing’. The
system simply asks the customer what they want (in their words, not
yours) and then transfers them to the most suitable resource to handle
their call.
• Google
• Microsoft
• IBM
• Baidu - Deep Speech 2,
• Apple
• Amazon
• Nuance
• SoundHound
• IflyTek
Top Speech Recognition Companies
16.
17. Natural Language Processing
17
Natural language processing refers to AI method of communicating with intelligent system permitting a human-computer
dialogue in a conversational, day-to-day natural language such as English.
Natural
Language
Understanding
(NLU)
• Mapping the natural language input
into useful representations
• Analyzing different aspects of the
language
Natural
Language
Generation
(NLG)
• Text planning: retrieving relevant
content from knowledge base
• Sentence planning: Choosing required
words, forming phrases and setting
tone of the sentence
• Text Realization: Mapping sentence
plan into sentence structure
NLP is difficult because of ambiguities associated
with inconsistencies in human natural language
Benefits
Fast return on value
Real-time analysis
Handles any format of
information
parsing Translating Generating Input
Phonology: Interprets
sound within and across
words
Morphology: Breakdown
words into morphemes
Lexical: Assign meanings
to individual words
Syntactic: Check if
sentence is grammatically
correct
Semantic: Performs
disambiguation of words
Discourse: Makes
connection between
sentences
Pragmatic: Look
contextual and situational
meanings
1
2
3
4
5
6
7
18. Natural Language Processing Industry Trends
18
• Expect Labs
• SwiftKey
• NetBase
• FiscalNote
• Kelvu
Top Speech Recognition Companies Application Description
NLP in Text
Prediction
Text prediction technology designed to significantly boost the accuracy,
fluency and speed of text entry on mobile and computing devices by
learning from users’ writing style and predict favorite words, phrases
and emojis
NLP in Social
Media Analysis
Software to the data from the social web to apply social media
sentiment analysis using NLP technologies
NLP in Predicting
Government
Legislation
Product for analyzing political, legal, and regulatory information using
NLP and machine learning
NLP in
eCommerce
Analysis
System to help merchants improve the shopping experience on their
site, and increase conversions and revenue
19.
20. Computer Vision
20
Technology through which a computer can see by extracting, analyzing, and comprehending useful information from a
single image or an array of images through algorithms
Optical Character Recognition
convert image into editable text
Estimating Position –
position of tumor in the body
Object Recognition –
Parking number plate recognition.
Facial recognition
expression based customer sentiment
Devices Required:
• Camera
• Processer
• Software
• Display for monitoring
Benefits
No limitation like as human
perception
Easy to work with the
devices (mount, remove,
replace and upgrade)
The Goal of CV is to emulate the striking perceptual
capability of human eyes and brains or even to surpass
and assist humans
The other vision systems are:
• Image Processing
• Machine Vision
21. Computer Vision Industry Trends
21
FB: New computer vision algorithms can “read” images and videos to the blind and display over 2 billion translated
stories every day
• Cognex
• Datalogic
• IVISYS
• Microscan
• National Instruments
• Optotune
• ProPhotnix
• Sensory
• USS Vision
• ViDi Systems
Application Description
Object Tracking in
video
Use the color of an object to track its trajectory as it moves in the video.
Plant classification Color histograms and machine learning to classify the plants
Image search Feature-based learning and recognition algorithm to re-rank the outputs from a
traditional keyword-based image search engine
Sharpening, blur,
and noise removal
Image processing for the enhancement of images through the use of sharpening
and noise removal operations
Facial animation A parameterized 3D model of shape and appearance (surface texture) can be
used directly to track a person’s facial motions and to animate a
different character with these same motions and expressions
Top Computer Vision Companies
22.
23. Robotics
23
Robots are aimed at manipulating the objects by perceiving, picking, moving, modifying the physical properties of object,
destroying it, or to have an effect thereby freeing manpower from doing repetitive functions without getting bored, distracted,
or exhausted.
Sensors (vision and tactile sensors)
Actuators
Electric, piezo and ultrasonic motors
Pneumatic air muscles
Muscle wires
Mechanical
construction
Electrical
Components
Computer
Program
Form, or shape designed to
accomplish a particular task
Power and control the
machinery
Determine what, when and
how a robot does something
Legged Wheeled Legged & Wheeled Track Skip/Slid SwimmingDronesStationary
24. Robotics Industry Trends
24
• Alphabet, Inc. (Google)
• Amazon
• iRobot
• Lockheed Martin
• Samsung
• Toyota
• Foxxconn Technology Group
• ABB Robotics
• EPSON Robotics
• FANUC Robotics
• KUKA Robotics
• Rethink Robotics
• Yamaha Robotic
• Yaskawa Robotics,
Top Robotic Companies
by Robotics Business Review
Industry Application
Industrial Robots are used for handling material, cutting, welding, color
coating, drilling, polishing, etc.
Military Autonomous robots can reach inaccessible and hazardous zones
during war.
Healthcare Robots are capable of carrying out hundreds of clinical tests
simultaneously, rehabilitating permanently disabled people, and
performing complex surgeries such as brain tumors.
Exploration the robot rock climbers used for space exploration, underwater
drones used for ocean exploration are to name a few.
Entertainment Disney’s engineers have created hundreds of robots for movie
making
Automotive Autonomous or self driving car are now becoming a reality
25.
26. Industries that are most impacted due to AI
• Dynamic & data intensive markets
• Financial adviser dependent
• Customer service support
• Security/privacy/fraud sensitive
• Highly regulated
• Innovators from lab to real-world
• Venturing into diverse industries
• Nurture innovation and skills
• Investing in startups & incubators
• Personalize user experience
• Highly dependent on underwriters
& agents
• Clients preference for self-service
• Data driven claims & settlements
• Increase in personal & commercial
IoT devices
• Self-driving cars
• Shift from ‘owned’ to ‘rent a service’
• Usage based Auto-insurance
• Personalized driver assist features
• Increase in IoT & Telematics
• Preventive & early diagnosis
• Personal care for old & disabled
• Shortage of nurses & surgeons
• Large clinical data repository
• Too many medical publications
• Health & fitness tracker data
• Simple, routine & heavy lifting
work to reduce production time
• Work in danger zones
• Supply chain & inventory mgmt..
• Equipment & fleet monitoring
• On-demand delivery
• Online reviews influence on
shoppers
• Personalized shopping experience
• Cross product recommendations
• Marketing campaigns, offers &
discounts
Disruptive business are shifting their
focus from Information Technology to
AI-Powered Technology. IT/ITES
companies that already have huge
tech talent needs to focus on early
adoption of AI Technology by:
Launching interactive AI courses to
train their domain SMEs
Nurturing in-house innovation
though hackathons
Investing in right AI tech start-ups
Collaborating with Universities for
R&D in AI & emerging technologies
Technology Giants Insurance AutomotiveBFSi
Healthcare Retail & e-commerce IT/ITESManufacturing & Logistics
Intelligent search engine; Personalized
recommendations & newsfeeds; voice
powered assistant & chatbots; AI
platforms & products
Automated financial advisors &
brokers; Chatbots; AI user
authentication; Smart wallets; Credit
scoring models; Intuitive intelligence
for fraud prevention
Robo-underwriters & Robo-agents;
Automated underwriting & pricing
models; Sophisticated NLP & vision
systems algorithms for settlements
Robo-taxi; Connected cars; Voice
powered assistant; AI vision systems
& NLP models for accident prevention
& remote monitoring
Robot assisted surgeries & patient
care & monitoring; Designing
treatment plans; Online consultation;
Prediction models for drug creation
Robots for assembling & packaging;
drones for equipment monitoring &
ML for predictive maintenance;
Collaborative warehouse robots
Intelligent recommendations engine;
Chatbots, Voice & AR/VR based
shopping experience; customer
sentiment; AI models for store
operations; Drone warehouse
InfluencersDisruptionsInfluencersDisruptions
26
US Federal Report says Artificial Intelligence could automate 47% of jobs
27. A few Disruptive AI Innovations
27
Amazon - “People who bought this also bought…”, “recommended for you” on the other sites
Facebook – News feed, “Add a Friend”
Google - Google Translate, Search Engine
Gaming - The world’s best Checkers, Chess, Scrabble, Backgammon, and Othello players
Amazon, Google, Facebook, IBM, and Microsoft have established a non-profit partnership to formulate best practices on artificial
intelligence technologies, advance the public's understanding, and to serve as a platform about artificial intelligence.
28.
29. Which Artificial Intelligence is our Future?
29
Artificial Narrow Intelligence
Some real-world issues
Unemployment due to skill replacement
through automation
2010 Flash Crash – AI failure let to stock
market brief plummet, taking $1 trillion of
market value
To avoid legal battle Amazon Echo hands
over data to police in a murder case.
Apple & FBI battle over unlocking
terrorist’s FBI
ANI
AGI
Artificial General Intelligence
Human Level Machine Intelligence – a
machine that can perform any intellectual
task that a human being can
Ex: A machine that can create another
machine, build sky scrappers etc.
Threat to Privacy, Safety, Human Dignity
and potential devaluation to humanity by
artificial moral agents
ASI
Artificial Super Intelligence
The Law of Accelerating Returns
Technological Singularity -
Superintelligence will abruptly trigger
runaway technological growth, resulting
in unfathomable changes to human
civilization to extent that human
existence is under question.
We are Here!
Self-improvement of
Algorithms, content &
Hardware
Recursive self-
improvement causing
Intelligence explosion