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2. BUSINESS CUSTOMERS X-RAY Module
3. CUSTOMER CARE Module
4. MENU ENGINEERING Module
5.PERSONNEL DEVELOPMENT Module
6. EXPECTED ROI AND FINAL CONSIDERATIONS
This document provides an overview of deep learning techniques including neural networks, convolutional neural networks (CNNs), and long short-term memory (LSTM) algorithms. It defines key concepts like Bayesian inference, heuristics, perceptrons, and backpropagation. It also describes how to configure neural networks by specifying hyperparameters, hidden layers, normalization methods, and training parameters. CNN architectures are explained including convolution, pooling, and applications in computer vision tasks. Finally, predictive maintenance using deep learning to predict equipment failures from sensor data is briefly discussed.
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Value Amplify Consulting Group, offers the opportunity to hire Chief AI Officers trained to lead your organization in the following services, roadmaps and create your AI Playbook
How to Use Artificial Intelligence to improve the profitability of restaurants.
1. Mini MBA on Customers Data Analysis
2. BUSINESS CUSTOMERS X-RAY Module
3. CUSTOMER CARE Module
4. MENU ENGINEERING Module
5.PERSONNEL DEVELOPMENT Module
6. EXPECTED ROI AND FINAL CONSIDERATIONS
This document provides an overview of deep learning techniques including neural networks, convolutional neural networks (CNNs), and long short-term memory (LSTM) algorithms. It defines key concepts like Bayesian inference, heuristics, perceptrons, and backpropagation. It also describes how to configure neural networks by specifying hyperparameters, hidden layers, normalization methods, and training parameters. CNN architectures are explained including convolution, pooling, and applications in computer vision tasks. Finally, predictive maintenance using deep learning to predict equipment failures from sensor data is briefly discussed.
This document discusses the use of social network graphs and analytics. It provides an overview of key concepts in social network analysis (SNA) including representing social networks, identifying strong and weak ties, central nodes, and overall network structure. Examples are given of how SNA is used in business, law enforcement, social media sites, and more. Key measures discussed include degree, betweenness, closeness, eigenvector centrality, density, and clustering coefficient. The small-world phenomenon and preferential attachment are also covered.
This document discusses using AI and machine learning techniques for sentiment analysis of text data from tweets and product reviews. It describes cleaning and preprocessing the text data, including removing special characters and stop words. Feature hashing is used to convert text into numeric feature vectors for machine learning algorithms like logistic regression. The goal is to analyze sentiment at a product level to help consumers understand public opinions before purchasing.
AI Class Topic 3: Building Machine Learning Predictive Systems (Predictive Ma...Value Amplify Consulting
This document discusses building a predictive system using machine learning. It describes predicting income using census data with four machine learning algorithms: Two-Class Decision Jungle, Two-Class Averaged Perceptron, Two-Class Bayes Point Machine, and Two-Class Locally-Deep Support Vector Machine. It also discusses tuning hyperparameters, combining results, and benchmarking performance. Additional sections cover predictive analytics processes, digital transformation, and predictive maintenance maturity models.
Value Amplify Consulting Group, offers the opportunity to hire Chief AI Officers trained to lead your organization in the following services, roadmaps and create your AI Playbook
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Extracting Value & Delivering Value
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1. An introduction to Bitcoin and blockchain
2. Evaluating and investing in initial coin offerings (ICOs)
3. Technical analysis techniques for cryptocurrency trading
4. Exchange-traded funds (ETFs) and trading robot funds
There will be a discussion panel with traders. The document then provides more details on each agenda item, including explanations of Bitcoin and Ethereum, examples of top coins and tokens, wallet types, cryptocurrency exchanges, and algorithmic trading bots. It promotes the potential to profit from cryptocurrency price volatility using futures or funds managed by trading robots.
What is Bitcoin, Blockchain? . How do they work?
How automated trading robot BOT BitConnect increases profits.
Start using BIT at: https://bitconnect.co/?ref=Giuseppemasc
The document discusses initial coin offerings (ICOs) and presents both opportunities and risks. It notes that while ICOs have raised billions of dollars, most are likely frauds or will not survive long-term. A framework is provided for evaluating ICO investments based on factors like the idea/concept, need for tokenization, team and advisors, roadmap, and terms of the offering. While the cryptocurrency market could reach $1-5 trillion by 2022, most current coins will not survive due to network effects that favor only the most successful projects.
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This document discusses using machine learning to analyze IoT data and calculate the return on investment (ROI) for various use cases. It provides an example ROI case study of using machine learning in manufacturing to increase overall equipment effectiveness (OEE) and lower production costs. The summary outlines how machine learning can be used to predict and prevent quality issues, analyze diagnostic data, and plan for higher quality at lower variable costs. It estimates that plant managers could increase OEE by up to 6% and achieve a target ROI of 175% with payback within one year.
What Is Machine Learning?
Where do we deploy machine learning and what software and cloud services are out there to support it?
What are the trends in deploying these systems and what are the benefits for IT?
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LAND USE LAND COVER AND NDVI OF MIRZAPUR DISTRICT, UPRAHUL
This Dissertation explores the particular circumstances of Mirzapur, a region located in the
core of India. Mirzapur, with its varied terrains and abundant biodiversity, offers an optimal
environment for investigating the changes in vegetation cover dynamics. Our study utilizes
advanced technologies such as GIS (Geographic Information Systems) and Remote sensing to
analyze the transformations that have taken place over the course of a decade.
The complex relationship between human activities and the environment has been the focus
of extensive research and worry. As the global community grapples with swift urbanization,
population expansion, and economic progress, the effects on natural ecosystems are becoming
more evident. A crucial element of this impact is the alteration of vegetation cover, which plays a
significant role in maintaining the ecological equilibrium of our planet.Land serves as the foundation for all human activities and provides the necessary materials for
these activities. As the most crucial natural resource, its utilization by humans results in different
'Land uses,' which are determined by both human activities and the physical characteristics of the
land.
The utilization of land is impacted by human needs and environmental factors. In countries
like India, rapid population growth and the emphasis on extensive resource exploitation can lead
to significant land degradation, adversely affecting the region's land cover.
Therefore, human intervention has significantly influenced land use patterns over many
centuries, evolving its structure over time and space. In the present era, these changes have
accelerated due to factors such as agriculture and urbanization. Information regarding land use and
cover is essential for various planning and management tasks related to the Earth's surface,
providing crucial environmental data for scientific, resource management, policy purposes, and
diverse human activities.
Accurate understanding of land use and cover is imperative for the development planning
of any area. Consequently, a wide range of professionals, including earth system scientists, land
and water managers, and urban planners, are interested in obtaining data on land use and cover
changes, conversion trends, and other related patterns. The spatial dimensions of land use and
cover support policymakers and scientists in making well-informed decisions, as alterations in
these patterns indicate shifts in economic and social conditions. Monitoring such changes with the
help of Advanced technologies like Remote Sensing and Geographic Information Systems is
crucial for coordinated efforts across different administrative levels. Advanced technologies like
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Changes in vegetation cover refer to variations in the distribution, composition, and overall
structure of plant communities across different temporal and spatial scales. These changes can
occur natural.
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A wound is a break in the integrity of the skin or tissues, which may be associated with disruption of the structure and function.
Healing is the body’s response to injury in an attempt to restore normal structure and functions.
Healing can occur in two ways: Regeneration and Repair
There are 4 phases of wound healing: hemostasis, inflammation, proliferation, and remodeling. This document also describes the mechanism of wound healing. Factors that affect healing include infection, uncontrolled diabetes, poor nutrition, age, anemia, the presence of foreign bodies, etc.
Complications of wound healing like infection, hyperpigmentation of scar, contractures, and keloid formation.
This document discusses drivers of AI and digital transformation and the role of the Chief AI Officer (C.AI.O). It notes that by 2022, 75% of globally shipped working assets will have event-driven decision support systems. It asks what is needed to win in the next wave of value from AI and digital transformation, how to prepare data science teams to win, and how to build a value-driven AI playbook. It suggests the C.AI.O is the corporate role best able to find answers to these questions, as the C.AI.O can drive change, value, and competition through data, legal, and policy exploration to maximize appropriate AI use.
This Workshop Teaches Business Leaders How To Implement AI Technologies To Serve Customers Better Than Anybody Else.
AGENDA
Introduction to Artificial Intelligence
Extracting Value & Delivering Value
Predictive & Preventive maintenance
Marine market, Jet engines
How to prepare & implement AI Playbook
EKATRA provides Realtime digital twins for contextual and situational analysis of complex industrial process such as power-generating plants. The demo shows a smart predictive maintenance scenario addressed.
EKATRA provides Realtime digital twins for contextual and situational analysis of complex industrial process such as power-generating plants. The demo shows a smart predictive maintenance scenario addressed.
AI and Automation in the most valuable business decisions. Leveraging REJ (Rapid Economic Justification) to identify the best use of AI. Presentation from the Infosys AI Summit in Miami.
This document provides an agenda for a seminar on investing in Bitcoin and blockchain-related funds. The agenda includes:
1. An introduction to Bitcoin and blockchain
2. Evaluating and investing in initial coin offerings (ICOs)
3. Technical analysis techniques for cryptocurrency trading
4. Exchange-traded funds (ETFs) and trading robot funds
There will be a discussion panel with traders. The document then provides more details on each agenda item, including explanations of Bitcoin and Ethereum, examples of top coins and tokens, wallet types, cryptocurrency exchanges, and algorithmic trading bots. It promotes the potential to profit from cryptocurrency price volatility using futures or funds managed by trading robots.
What is Bitcoin, Blockchain? . How do they work?
How automated trading robot BOT BitConnect increases profits.
Start using BIT at: https://bitconnect.co/?ref=Giuseppemasc
The document discusses initial coin offerings (ICOs) and presents both opportunities and risks. It notes that while ICOs have raised billions of dollars, most are likely frauds or will not survive long-term. A framework is provided for evaluating ICO investments based on factors like the idea/concept, need for tokenization, team and advisors, roadmap, and terms of the offering. While the cryptocurrency market could reach $1-5 trillion by 2022, most current coins will not survive due to network effects that favor only the most successful projects.
Keynote presentation at the HUBB Conference.
Adj Prof Mascarella clarifies terms, mechanisms and what is the roadmap to use innovation for new business.
This document discusses using machine learning to analyze IoT data and calculate the return on investment (ROI) for various use cases. It provides an example ROI case study of using machine learning in manufacturing to increase overall equipment effectiveness (OEE) and lower production costs. The summary outlines how machine learning can be used to predict and prevent quality issues, analyze diagnostic data, and plan for higher quality at lower variable costs. It estimates that plant managers could increase OEE by up to 6% and achieve a target ROI of 175% with payback within one year.
What Is Machine Learning?
Where do we deploy machine learning and what software and cloud services are out there to support it?
What are the trends in deploying these systems and what are the benefits for IT?
Do you have a IoT Machine Learning Case Study in the Cloud?
Prof. Giuseppe Mascarella discusses machine learning and its impact on the Internet of Things. Machine learning discovers patterns in data through data science algorithms rather than applying predefined logic. Intelligence is being incorporated into machine learning for IoT through directed knowledge, where externally created knowledge modifies edge behavior, and sensor fusion knowledge, which combines sensory data to produce more informative results than individual sources.
From managing cost, risk and time to harvesting collective Intelligence and collaborative decision making. This a simple introduction to a methodology.
This document discusses project portfolio management and collaborative decision making for IT investments. It proposes a 6-step workflow to maximize the value of projects, including defining value based on 5 pillars (strategic alignment, impact on processes, infrastructure agility, cost/benefit, and risk), defining rules and an organization decision mechanism for the project portfolio, setting service level objectives, measuring and monitoring, optimizing the portfolio, and negotiating a benefit realization plan. An example process called Rithm of Business is presented for organizing an organization decision mechanism. The goal is to move IT from a cost center to a value building center by doing more projects with less through governance and collaborative decision making.
Is just moving IT from CapEX to OpEx a huge benefit?
Does “IT as a cloud commodity services” changes IT Role and Responsibility?
How do you get a real overall lower TCO?
This document discusses an ex-Microsoft team's experience and capabilities related to cloud computing consulting. It lists their relevant experience, which includes over 500 case studies and 300 economic justifications written. It also lists recent deliverables produced by the team, such as guides on centers of excellence, marketing campaigns, and competitive programs. Additional sections provide details on potential consulting services regarding cloud organizational functions planning, cloud total cost of ownership modeling, and assessing cloud computing scenarios to find the best return on investment.
LAND USE LAND COVER AND NDVI OF MIRZAPUR DISTRICT, UPRAHUL
This Dissertation explores the particular circumstances of Mirzapur, a region located in the
core of India. Mirzapur, with its varied terrains and abundant biodiversity, offers an optimal
environment for investigating the changes in vegetation cover dynamics. Our study utilizes
advanced technologies such as GIS (Geographic Information Systems) and Remote sensing to
analyze the transformations that have taken place over the course of a decade.
The complex relationship between human activities and the environment has been the focus
of extensive research and worry. As the global community grapples with swift urbanization,
population expansion, and economic progress, the effects on natural ecosystems are becoming
more evident. A crucial element of this impact is the alteration of vegetation cover, which plays a
significant role in maintaining the ecological equilibrium of our planet.Land serves as the foundation for all human activities and provides the necessary materials for
these activities. As the most crucial natural resource, its utilization by humans results in different
'Land uses,' which are determined by both human activities and the physical characteristics of the
land.
The utilization of land is impacted by human needs and environmental factors. In countries
like India, rapid population growth and the emphasis on extensive resource exploitation can lead
to significant land degradation, adversely affecting the region's land cover.
Therefore, human intervention has significantly influenced land use patterns over many
centuries, evolving its structure over time and space. In the present era, these changes have
accelerated due to factors such as agriculture and urbanization. Information regarding land use and
cover is essential for various planning and management tasks related to the Earth's surface,
providing crucial environmental data for scientific, resource management, policy purposes, and
diverse human activities.
Accurate understanding of land use and cover is imperative for the development planning
of any area. Consequently, a wide range of professionals, including earth system scientists, land
and water managers, and urban planners, are interested in obtaining data on land use and cover
changes, conversion trends, and other related patterns. The spatial dimensions of land use and
cover support policymakers and scientists in making well-informed decisions, as alterations in
these patterns indicate shifts in economic and social conditions. Monitoring such changes with the
help of Advanced technologies like Remote Sensing and Geographic Information Systems is
crucial for coordinated efforts across different administrative levels. Advanced technologies like
Remote Sensing and Geographic Information Systems
9
Changes in vegetation cover refer to variations in the distribution, composition, and overall
structure of plant communities across different temporal and spatial scales. These changes can
occur natural.
This document provides an overview of wound healing, its functions, stages, mechanisms, factors affecting it, and complications.
A wound is a break in the integrity of the skin or tissues, which may be associated with disruption of the structure and function.
Healing is the body’s response to injury in an attempt to restore normal structure and functions.
Healing can occur in two ways: Regeneration and Repair
There are 4 phases of wound healing: hemostasis, inflammation, proliferation, and remodeling. This document also describes the mechanism of wound healing. Factors that affect healing include infection, uncontrolled diabetes, poor nutrition, age, anemia, the presence of foreign bodies, etc.
Complications of wound healing like infection, hyperpigmentation of scar, contractures, and keloid formation.
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বাংলাদেশের অর্থনৈতিক সমীক্ষা ২০২৪ [Bangladesh Economic Review 2024 Bangla.pdf] কম্পিউটার , ট্যাব ও স্মার্ট ফোন ভার্সন সহ সম্পূর্ণ বাংলা ই-বুক বা pdf বই " সুচিপত্র ...বুকমার্ক মেনু 🔖 ও হাইপার লিংক মেনু 📝👆 যুক্ত ..
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তাই একজন নাগরিক হিসাবে এই তথ্য গুলো আপনার জানা প্রয়োজন ...।
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Exploiting Artificial Intelligence for Empowering Researchers and Faculty, In...Dr. Vinod Kumar Kanvaria
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Ism3007 2017 lecture 1 davie mascarella v2
1. Social Media Innovation Lecture 1 1
Lecture 1
by
Prof.
Giuseppe
Mascarella
Davie
Campus
8/21/2017
WELCOME TO ISM 3007
SOCIAL MEDIA INNOVATION
2. AGENDA
1. Introduction To Social Media Innovation Class
2. Social Media Activities To Get To Know Each Other
3. Course Schedule Plan and Grading
4. Social Media Technology
5. Social Media Identity
Social Media Innovation Lecture 1 2
3. 1. Why does social media matters to you and your business?
2. How do I use it successfully?
3. How can I improve my personal branding value?
LinkedIn, Facebook and Twitter
4. How do impact my job hunting or business?
5. What are the mechanics of social media?
6. …
7. ….Who’s is Prof Mascarella
Social Media Innova
3
WHAT QUESTIONS DO WE HAVE
ABOUT SOCIAL MEDIA?
6. Social Media Innovation Lecture 1 6
http://www.nytimes.com/2012/02/19/books/review/how-an-egyptian-
evolution-began-on-facebook.html
7. How FaceTime stopped the Turkish coup: President Erdogan's last-ditch
mobile phone call to privately owned TV station mobilised mass support
by harnessing social media
Social Media Innovation Lecture 1 7
http://www.dailymail.co.uk/news/article-3693987/How-FaceTime-stopped-Turkish-coup-President-Erdogan-s-ditch-
mobile-phone-call-privately-owned-TV-station-mobilised-mass-support-harnessing-social-media.html
8. DISCOVER:
WHAT IS SOCIAL LEARNING?
The learner is not a passive recipient of information.
Cognition, environment, self actualization with peers, and
behavior all mutually influence each other.
Pair programming: An agile software development technique in which two programmers work
together at one workstation. One, the driver, writes code while the other, the observer or navigator,
reviews each line of code as it is typed in. The two programmers switch roles frequently.
Classroom Experiential Learning: The process whereby knowledge is created through the
transformation of experience.
Knowledge results from the combinations of grasping and transforming experience.
Social Media Innovation Lecture 1 8
9. ACTIVITY
9Social Media Innovation Lecture 1
1. Stand up
2. Try to find somebody that plays the same sport
3. The larger the group (by sport), the better
• Time: 2-3 minutes
10. ACTIVITY PART 1
10Social Media Innovation Lecture 1
Getting to know each other.
Write in big letters:
• Name:
• Age:
• City you currently live in:
• City where you are from or born:
• List 4 interests:
(broad categories i.e.: sports, cars, celebrities, Trump or Clinton, etc..)
11. ACTIVITY PART 2
11Social Media Innovation Lecture 1
Mingle around the room until you find someone from your and stop
moving once you’ve met someone
If no one lives in your city or the city you are from,
go to the closest city.
12. ACTIVITY PART 3
12Social Media Innovation Lecture 1
Within your group, introduce yourselves break into sub groups by
based upon the other attributes in your information sheet
15. WHY DID YOU JOIN THIS CLASS?
Social Media Innovation Lecture 1 15
1. Personal mastering of Social Media?
2. Find a job in Social Media MKTG world?
3. Enhance your job hunting?
4. Promote your future business?
5. Anything else? ….
17. INFORMATION AGE
• Began in the 1970’s
• Noted for the abundant publication, consumption, and manipulation of
information, especially by computers and computer networks
• Near infinite amount of data available to anyone with a computer and
Internet access
• Manipulation of data has become a major global industry
Social Media Innovation Lecture 1 17
18. WEB 1.0
1. First stage of the World Wide Web
2. Entirely made of web pages connected via hyperlinks
3. Static content
4. Limited time access (dial-up)
5. Shopping carts
Social Media Innovation Lecture 1 18
Web 1.0 examples
19. WEB 2.0
• The modern Internet we see today
• Interactive content
• UGC (User Generated Content)
• Broadband / high-speed networking everywere
• Mobile
Social Media Innovation Lecture 1 19
20. WEB 2.0- THINGS WE TAKE FOR GRANTED
Web 1.0 Web 2.0
Ofoto --> Photo tagging
Akamai --> BitTorrent
mp3.com --> SoundCloud
Britannica --> Wikipedia
personal websites --> blogging
domain name
speculation
-->
search engine
optimization
page views --> Conversion rate, PTP
screen scraping --> web services
publishing --> Participation
content mngt sys --> Wikis
directories
(taxonomy)
--> tagging ("folksonomy")Social Media Innovation Lecture 1 20
21. WEB 2.0 PULL & PUSH ERAS
Pull Era Characteristics
• Web is proactively seeking Information
• Search technology boomed (airfare, conversions, etc)
• Many monetization opportunities for successful websites. Yesterday was the
era are mostly information ad-sponsored utilities
• Positive feedback loop between the supply and demand of information
Social Media Innovation Lecture 1 21
22. FEEDBACK LOOPS
Feedback Loops: Algorithms that enhance or dampen changes that
occur in a system
• Positive Feedback loops: this tends to move a system away from its
equilibrium state
• Negative Feedback loops: tend to dampen changes; this tends to hold a
system to some equilibrium state making it more stable.
Social Media Innovation Lecture 1 22
23. WEB 2.0 PULL & PUSH ERAS
Push Era Characteristics
• Content seeks you
• Positive feedback loop between social networks and media publishers
• Desktop vs Mobile
• Stock content vs Flow content
• Separate “unbundled” monetization strategies
• Successful websites of this era were mostly information utilities
Social Media Innovation Lecture 1 23
24. WEB 2.0 PULL & PUSH ERAS
Social Media Innovation Lecture 1 24
Push Pull
Dominant platform Search Social
Dominant platform Google Facebook
Growth era 2000s 2010s
Successful content type Utilities Media
Content durability Stock Flow
Successful publishers TripAdvisor, Wikipedia, Yelp You
Marketing activity links and algorithms shares and people
25. WHAT IS SOCIAL MEDIA?
A group of Internet-based applications that build on the ideological
and technological foundations of Web 2.0, and that allow the
creation and exchange of user-generated content”
- Kaplan Andreas M., Haenlein Michael –Business Horizons
Social Media Innovation Lecture 1 25
26. WHAT IS SOCIAL MEDIA?
Characteristics
• Participation
• Openness
• Conversation
• Community
• Connectedness
Social Media Innovation Lecture 1 26
27. WHAT IS SOCIAL MEDIA?
Classifications
• Social networks
• Blog / Microblogging
• Crowd Wisdom
• Q & A
• Social Market Place
• Enterprise
• Pictures
• Livecasting
• Wikis
• Discussions & Forums
• Business
• Service Networking
• Reviews / Ratings
• Video
• Events
• Social Bookmarks
• Quantified SelfSocial Media Innovation Lecture 1 27
28. Social media is defined as "a group of Internet-based
applications that build on the ideological and technological
foundations of Web 2.0, and that allow the creation and
exchange of user-generated content”
• - Kaplan Andreas M., Haenlein Michael –Business Horizons
Social Media Innovation Lecture 1 28
29. Social Media Innovation Lecture 1 29
1. Interior
designer
2. Cuban
Artist
3. Training
Workshops
3. Energy
Drink
34. YOUR IDENTITY
& THE TRUST
Social Media Innovation Lecture 1
34
Individual
Nielsen 2013 Trust Report
Survey across 58 countries
35. WHAT IS YOUR SOCIAL “POWER”
1. How can we encourage others to recommend you?
2. How do you stand out in a noisy world?
3. How can you be “top of mind” when people have a need? (or
HIRE!)
Social Media Innovation Lecture 1 35
39. SOCIAL MEDIA IS LIKE A GARDEN
• Feeds plants but not weeds
• More water is needed to penetrate surface
• Resources wasted on walls, sidewalks and
areas where there are no plants
• Costly use of limited resources
• Easy and default solution for many
Social Media Innovation Lecture 1 39
41. YOUR IDENTITY ID YOUR BRAND
Assignment 1: The Social Identity status
Got to http://www.socialmediaexaminer.com/getting-started/
Assess which of “Getting Started Steps described you have
implemented in your profile.
Write a report in PowerPoint on your current social profile status and
the desired status
Twitter: 7 Tips to get started
Facebook 9 tips for integrating
Social Media Innovation Lecture 1 41