Human Centred ai
•Download as PPTX, PDF•
1 like•160 views
We are going to learn about How to use Artificial Intelligence for designing better digital product.
Report
Share
Report
Share
Recommended
Salesforce Einstein: Use Cases and Product Features
Salesforce Einstein: Use Cases and Product Features
#ImpactSalesforceSaturday Session
by @newdelhisfdcdug
Date and Time
Saturday, June 29, 2019
11:30 AM – 12:30 pm
Location: Online
A warm welcome to all the members and Guests in the meetup.
Join us for #ImpactSalesforceSaturday a series of online Salesforce Saturday sessions.
We invite all – Developers – Administrators – Group Leaders – Consultants with advanced, intermediate or beginner level knowledge on Salesforce(Sales Cloud, Service Cloud, Pardot, Marketing Cloud, IOT, CPQ, Einstein, etc).
Speaker: Jayant Joshi
Jayant is a Salesforce Technology Delivery Architect and Manager (Multi-Cloud) working on Large and Mid Size CRM Implementation Projects. Overall, He has around 14 years of CRM delivery experience with 9+ years in Salesforce.com Projects and Opportunities. He is very passionate about emerging technologies and has a deep interest in major innovations around the world. He has 19 Salesforce Certifications and accreditations currently and is passionate about various Salesforce Products including Salesforce Einstein.
Agenda
a. Introduction
b. Salesforce Einstein – Products and Use Cases
c. Q & A
UX Lead Product Management
From 2017 UXSYM, hosted by WPI UX & Decision Making Research Lab.
How UX driven product development can help create successful products.
Elena Grewal, Data Science Manager, Airbnb at MLconf SF 2016
Before the Model: How Machine Learning Products Start, with Examples from Airbnb: Often the most important part of building a machine learning product is the formulation of the problem; the most elegant model is rendered useless without the right application and model architecture. Airbnb is an online marketplace for accommodations which has found many interesting applications for machine learning products by taking a data driven approach to investment in Machine learning products. Come hear about how the Airbnb team generates and vets ideas for machine learning products and tailors the product to business problems, with some examples of success and lessons learned along the way.
Digital Transformation, Testing and Automation
The Digital Transformation is real. It is having a profound effect on how business is done and the nature of the systems required to deliver productive customer experiences and consequent business benefits.
Key Takeaways:
- What is the Digital Transformation and how does it affect testing?
- Some key findings from a recent and an ancient survey
- How to achieve testing and automation success.
To view the webinar, visit - http://testhuddle.com/resource/digital-transformation-testing-and-automation/
User Experience Strategy
A primer on User Experience Strategy with call to action and execution plan.
Practical Explainable AI: How to build trustworthy, transparent and unbiased ...
This presentation is from the Federated & Distributed Machine Learning Conference. This talk focuses on why we need explainable AI and how can we build models that are trustworthy, transparency and unbiased.
BA and Beyond 19 - Susanne Schmidt-Rauch - Deeper business analysis by user e...
When we received a future business process description using a conventional process diagram in order to represent an overview of the requirements for a financial advisory tool, we felt that business analysts did not want us - the user experience specialists - to start with "our" work.
We convinced them to use a series of 3 workshops implementing scenario-based development (tell the story of the process from the users' perspective) and a special design-studio technique (visually brainstorm on most difficult design challenges) to their project procedure.
The result was a more qualified future business process, a deeper understanding of the context of use and a tangible paper prototype, ready to be tested by and with users.
Recommended
Salesforce Einstein: Use Cases and Product Features
Salesforce Einstein: Use Cases and Product Features
#ImpactSalesforceSaturday Session
by @newdelhisfdcdug
Date and Time
Saturday, June 29, 2019
11:30 AM – 12:30 pm
Location: Online
A warm welcome to all the members and Guests in the meetup.
Join us for #ImpactSalesforceSaturday a series of online Salesforce Saturday sessions.
We invite all – Developers – Administrators – Group Leaders – Consultants with advanced, intermediate or beginner level knowledge on Salesforce(Sales Cloud, Service Cloud, Pardot, Marketing Cloud, IOT, CPQ, Einstein, etc).
Speaker: Jayant Joshi
Jayant is a Salesforce Technology Delivery Architect and Manager (Multi-Cloud) working on Large and Mid Size CRM Implementation Projects. Overall, He has around 14 years of CRM delivery experience with 9+ years in Salesforce.com Projects and Opportunities. He is very passionate about emerging technologies and has a deep interest in major innovations around the world. He has 19 Salesforce Certifications and accreditations currently and is passionate about various Salesforce Products including Salesforce Einstein.
Agenda
a. Introduction
b. Salesforce Einstein – Products and Use Cases
c. Q & A
UX Lead Product Management
From 2017 UXSYM, hosted by WPI UX & Decision Making Research Lab.
How UX driven product development can help create successful products.
Elena Grewal, Data Science Manager, Airbnb at MLconf SF 2016
Before the Model: How Machine Learning Products Start, with Examples from Airbnb: Often the most important part of building a machine learning product is the formulation of the problem; the most elegant model is rendered useless without the right application and model architecture. Airbnb is an online marketplace for accommodations which has found many interesting applications for machine learning products by taking a data driven approach to investment in Machine learning products. Come hear about how the Airbnb team generates and vets ideas for machine learning products and tailors the product to business problems, with some examples of success and lessons learned along the way.
Digital Transformation, Testing and Automation
The Digital Transformation is real. It is having a profound effect on how business is done and the nature of the systems required to deliver productive customer experiences and consequent business benefits.
Key Takeaways:
- What is the Digital Transformation and how does it affect testing?
- Some key findings from a recent and an ancient survey
- How to achieve testing and automation success.
To view the webinar, visit - http://testhuddle.com/resource/digital-transformation-testing-and-automation/
User Experience Strategy
A primer on User Experience Strategy with call to action and execution plan.
Practical Explainable AI: How to build trustworthy, transparent and unbiased ...
This presentation is from the Federated & Distributed Machine Learning Conference. This talk focuses on why we need explainable AI and how can we build models that are trustworthy, transparency and unbiased.
BA and Beyond 19 - Susanne Schmidt-Rauch - Deeper business analysis by user e...
When we received a future business process description using a conventional process diagram in order to represent an overview of the requirements for a financial advisory tool, we felt that business analysts did not want us - the user experience specialists - to start with "our" work.
We convinced them to use a series of 3 workshops implementing scenario-based development (tell the story of the process from the users' perspective) and a special design-studio technique (visually brainstorm on most difficult design challenges) to their project procedure.
The result was a more qualified future business process, a deeper understanding of the context of use and a tangible paper prototype, ready to be tested by and with users.
AI Orange Belt - Session 2
Harness the power of Artificial Intelligence abilities - session 2 of AI Orange Belt training for business managers & executives.
www.aiblackbelt.com
Ai demystified for HR and TA leaders
Leading and leaning-in on Ai in Recruitment
● What is Ai and why does it matter?
● What value does Ai add to the recruitment life cycle?
● What risks should you be aware of?
● Key questions to ask to evaluate and mitigate risks
● The FAIR™ Framework
● The Power of intelligent chat to Hire with Heart
Introduction to Machine Learning
This presentation gives an introduction to the basics of machine learning in simple terms
Ai in insurance how to automate insurance claim processing with machine lear...
Explore more at https://skyl.ai/form?p=start-trial
About the webinar
Insurance companies are looking at technology to solve complexity created by the presence of cumbersome processes and the presence of multiple entities like actuaries, support team and customers in the claim processing cycle.
Today, a lot of insurance companies are opting for Machine Learning to simplify and automate the processes to reduce fraudulent claims, predict underwriting risks, improve customer relationship management. This automated insurance claim process can remove excessive human intervention or manual errors and can report the claim, capture damage, update the system and communicate with the customers by itself. This leads to an effortless process enabling clients to file their claims without much hassle.
In this webinar, we will discuss how insurers are increasingly relying on machine learning to improve claim processing efficiency and increase ROI.
Projects
Learnbay provides industry accredited data science courses in Bangalore. We understand the conjugation of technology in the field of Data science hence we offer significant courses like Machine learning, Tensor flow, IBM watson, Google Cloud platform, Tableau, Hadoop, time series, R and Python. With authentic real time industry projects. Students will be efficient by being certified by IBM. Around hundreds of students are placed in promising companies for data science role. Choosing Learnbay you will reach the most aspiring job of present and future.
Learnbay data science course covers Data Science with Python,Artificial Intelligence with Python, Deep Learning using Tensor-Flow. These topics are covered and co-developed with IBM.
AI Recruitment - How Businesses Are Winning the Race for the Talent
About the webinar
Have you ever faced this situation wherein your recruitment team didn’t get enough time to build a stellar candidate experience and faced a hard time sifting through thousands of resumes and scheduling calls?
According to a survey by HR.com, in today's time one in ten recruiters use AI and nearly half expect to adopt it in their recruitment process within the next 5 years to keep up with changing market pace.
Over the course of 45 minutes, you will gain insights into how AI is changing recruitment and giving companies a competitive edge.
What you'll learn:
- How organizations are leveraging AI to accelerate the search for top talent
- Live Demo of smart resume search using Natural language processing
- Best practice to automate machine learning models in hours not months
To explore more, visit: https://skyl.ai/form?p=start-trial
Human in-the-loop in Machine Learning
HITL machine learning is a type of artificial intelligence that combines to power both human and machine intelligence to create better ML models.
AI in Retail
Presented a talk on AI in Retail as part of upAI summit at IIT Kharagpur. http://upai-summit.in/ IIT Kharagpur,
Dr Bonnie Cheuk IDC Future of Work Keynote: Workforce Transformation Human Ma...
Dr Bonnie Cheuk, AstraZeneca Digital Transformation & Global Capability Leader (Learning Culture and Learning Agility), delivered a keynote at IDC Future of Work Conference on 3 Mar 2020. She provoked the audience to go beyond the hype, and think deeper on how human and AI and data-driven Machine collaborate together.
These 3 questions were discussed:
1. How should human and machine collaborate? What skills are required?
2. Will machines replace (most) jobs?
3. Will there be new jobs to enable human-machine collaboration?
Drawing on Dervin's Sense-Making Methodology, Bonnie reminded us that human beings are not robotic machines. Human beings have feelings, experience, we are both scientists and artists, we are analytics and we are emotional.
Bonnie asked the audience how would you like to build a high performance team? Who do you want to put in the team? Do you want everyone to have the same strength, same skills? Or would you pick a team making up of players who can complement one another, and can bring out the best of one another. So in order to propose how human and machine should collaborate in the future of work, it is useful to first ask: what is the strength of human beings? What is the strength of the machine? We need to understanding how AI-driven machines learn vs how human beings learned, and play to one another's strength. And what is the strength of human? It is being human. Let the machine handle the deductive reasoning, the data-driven predictions, repetitive tasks. Let the humans do what we do well, adapting, navigating the unknown, use our human skills, promote collective sense making to make judgement, decisions. And free up the time to allow us to learn, create and innovate.
Bonnie highlighted that there are many unknowns as to how AI will be further developed, and there are ethical issues and risks that have to be addressed, and there are no precedents to follow. Collective human sense making is critical to bring out multiple perspectives from different stakeholders, to co-create AI-driven machines that human beings can trust, and to collectively address tricky ethical issues early on. Dervin’s Sense-Making Metaphor is introduced to facilitate two-way dialogue, to address power issues, and to explore common and divergent views to build common understanding of potential challenges, and co-create solutions to address them.
What are the Assumptions About Data Products by Hiya.com Lead PM
Learn how to build a new data product in a company focused on core product growth and success at scale.
Prototyping and MVPs for startups
Moving from an idea to a Minimum Viable Product
A quick introduction to the notion of the MVP – what a Minimum Viable Product is, why you need, and why it is a critical success factor for startups
How to move from a problem to a properly-defined MVP - steps, activity and best practices to follow
the book: https://www.theinnovationmode.com/
Agile Network India | Collaborative Intelligence – (Human + AI) and Ethical C...
Agile Network India | Collaborative Intelligence – (Human + AI) and Ethical Challenges by Debasish Hazra
AI in Insurance: How to Automate Insurance Claim Processing with Machine Lear...
About the webinar
Insurance companies are looking at technology to solve complexity created by presence of cumbersome processes and presence of multiple entities like actuaries, support team and customers in the claim processing cycle.
Today, a lot of insurance companies are opting for Machine Learning to simplify and automate the processes to reduce fraudulent claims, predict underwriting risks, improve customer relationship management. This automated insurance claim process can remove excessive human intervention or manual errors and can report the claim, capture damage, update the system and communicate with the customers by itself. This leads to an effortless process enabling clients to file their claims without much hassle.
In this webinar, we will discuss how insurers are increasingly relying on machine learning to improve claim processing efficiency and increase ROI.
What you'll learn
- How Insurance companies are using ML to drive more efficiency and business gain
- Best practices to automate machine learning models
- Demo: A deeper understanding of the end-to-end machine learning workflow for car damage recognition using Skyl.ai
Discussion - Weeks 1–2COLLAPSETop of FormShared Practice—Rol.docx
Discussion - Weeks 1–2
COLLAPSE
Top of Form
Shared Practice—Role of Business Information Systems
Note: This Discussion has slightly different due dates than what is typical for this program. Be mindful of this as you post and respond in the Discussion. Your post is due on Day 7 and your Response is due on Day 3 of Week 2.
As a manager, it is critical for you to understand the types of business information systems available to support business operations, management, and strategy. As of 2013, these include, but are certainly not limited to the following:
· Supply Chain Management (SCM)
· Accounting Information System
· Customer Relationship Management (CRM)
· Decision Support Systems (DSS)
· Enterprise Resource Planning (ERP)
· Human Resource Management
These types of systems support critical business functions and operations that every organization must manage. The effective manager understands the purpose of these types of systems and how they can be best used to manage the organization's data and information.
In this Discussion, you will share your knowledge and findings related to business information systems and the role they play in your organization. You will also consider your colleagues' experiences to explore additional ways business information systems might be applied in your colleagues' organizations, or an organization with which you are familiar.
By Day 7
· Describe two or three of the more important technologies or business information systems used in your organization, or in one with which you are familiar.
· Discuss two examples of how these business information systems are affecting the organization you selected. Be sure to discuss how individual behaviors and organizational or individual processes are changing and what you can learn from the issues encountered.
· Summarize what you have learned about the importance of business information systems and why managers need to understand how systems can be used to the organization's advantage.
You should find and use at least one additional current article from a credible resource, either from the Walden Library or the Internet. Please be specific, and remember to use citations and references as necessary.
General Guidance: Your initial Discussion post, due by Day 7, will typically be 3–4 paragraphs in length as a general expectation/estimate. Refer to the rubric for the Week 1 Discussion for grading elements and criteria. Your Instructor will use the rubric to assess your work.
Week 2
By Day 3
In your Week 1 Discussion you described how business information systems have been applied in an organization with which you are familiar. Read through your colleagues' posts and by Day 3 (Week 2), respond to two of your colleagues in one or more of the following ways:
· Examine how the business information systems described by your colleague could be or are being used by your organization. Offer additional ways either organization might take advantage of these systems.
· Examine how the b ...
Latest People Management lessons from Pexitics
We at Pexitics (Pexitics.com) have launched a series of Learning initiatives for the Smart People Manager.
Join us to know smart ways of making informed and evidence-based People decisions .. just the way Google does
Reach me at Subhashini@pexitics.com
Lessons learnt from applying PyData to GetYourGuide marketing
For all e-commerce sites, marketing is a big part of the business and marketing efficiency and effectiveness are critical to their success. Companies must make many data-driven decisions in order to reach customers that their competitors don’t, maximize the revenue of each click, decide wisely what are the costs to cut, enter new markets, etc.
GetYourGuide has been working for more than two years on building a marketing intelligence that allows us growing our marketing efforts in the travel market without building a huge team or buying extremely expensive tools.
All the decisions are supported by a dedicated system that runs on the PyData stack that allows marketers to extract valuable insights from data and performs critical marketing tasks: keyword mining, campaign automation, predictive modeling, omni-channel marketing data integration, customer segmentation, pattern mining from click data, etc.
As a result of this, we were able to scale up 3 times our marketing efforts, launch campaigns in 13 markets and automate 75% of our work only in the last 8 months. But this is not the end of our journey, GetYourGuide is building a Data Science team to understand travelers needs and wants and make our Customers' trips amazing.
From an idea to an MVP: a guide for startups
The Minimum Viable product and why it is critical for a startup. How to get from an idea to an MVP through a prototype. How to speed up your software prototyping process. Techniques to help you experiment and capture feedback.
As a founder, It is very important to deeply understand the notion of the MVP. You need to use it as part of a method or a framework to help you make better product decisions – and mitigate or avoid known risks. So this definition by Eric Ries, defines the MVP as ‘ …a product with just enough features to satisfy early customers, and to provide feedback’.
Your MVP must solve the problem for your customers; your users should get value out of it; your MVP should be good enough so the users engage with it and potentially pay for it;
Your early customers should be so happy with your product to act as promoters – to recommend it to others and publicly share positive feedback.
https://www.theinnovationmode.com/
Design Thinking Design thinking Design thinking
browser_id=0805f5bf-ce9a-4428-95d6-d033e2e99357; country_code=HK; osano_consentmanager_uuid=e15f0d2d-abea-4bd1-8577-fd4496790f18; osano_consentmanager=jLf5tMmyGrJqqkCKKefFwIVpDtiqgmGXw27g5gYdfQpk4hOXYBfZCKCzPBWYdK8w1lcTqLap8QS67svOUbat03XkUWKpqKEsLCK3mjSUmA3OnMuRFuNcW9HVt3YeaJgOUXcJUn5WeIq8q9VtmrJKMuvXgOOyCNgJWMAZwoEMWDFkG3j7qcUcs1NPsqtUuw0j0wfj8i4zlaJfa3IvQPG_D4D260JFXkQhYznGXb5sE5mPs-APZIQtxPHmFwkJdDYoBoMM5i6BZTOE3CooiHLlsht3rOOPQg88XYMzui4zjk9McsqToNHwDRV6b9Kej7cm8wKYlnWd2VvhLptTLhhm5ZKtGgKGzvw1_typZRzwu9MKcBj0yTeYwGRJRAKuVn47zkhpHSgnz6D1l16vepyuyiQ8MPZIOh8c_uGbHMcyoaVTDaayQ8U8px9wRqFxUSyZEpQTa_fi5T-6Uz_R67Brn2PS-d4tvXLr66ldhAZ1Jf__4OIznZdrqvDR_Z2ebTeVTu5ATJ1DvLZ4i1BLFhcurWlu5l8T0-Jhw6DJ34hHUusbWzObZ3YFnj__0ei7tWJgFrkFO9CJagQ3viMmBxQ7AkTVJEHyjWU9; _fs_sample_user=false; _cookie_id=0a94bc58797e85f5de6c93345f64781e; __utma=186399478.1905777825.1717386827.1717386827.1717386827.1; __utmc=186399478; __utmz=186399478.1717386827.1.1.utmcsr=(direct)|utmccn=(direct)|utmcmd=(none); logged_in=MjUwNTA4MTg3--b7017508f246f17817fd3e608989a3ea5afca79b; _uv_id=30907880; __utmv=186399478.|1=member_type=FREE=1; __utmt=1; split=%7B%22connatix_player%22%3A%22control%22%7D; _li_dcdm_c=.slideshare.net; _lc2_fpi=064716c27ff8--01hze4afgcx42z2sfzncwg116f; _lc2_fpi_meta=%7B%22w%22%3A1717387476492%7D; cookie=579db3e3-4e1c-4ac9-a9db-002f2d678eef; cookie_cst=zix7LPQsHA%3D%3D; _lr_retry_request=true; _lr_env_src_ats=false; ccuid=70541430-c837-48de-9b38-b4f3df46fe15; ccsid=a9cca90f-eb12-4a61-b312-3155fe2cedc9; pbjs_fabrickId_cst=VyxHLMwsHQ%3D%3D; __qca=P0-718305261-1717387477147; _au_1d=AU1D-0100-001717387478-RZGCHPIP-HI28; cnx_userId=1a25f8b38d594f66bdfcd9b623574d7e; __gads=ID=b0c257cd8837a2d5:T=1717387477:RT=1717387477:S=ALNI_MZemOB79GYzmJy3MDitud8C8ts5nA; __gpi=UID=00000e3fd92e5908:T=1717387477:RT=1717387477:S=ALNI_MZR3uQlHjpZGt6pPAiR8bAmgQiNMw; __eoi=ID=120019e4653fcac0:T=1717387477:RT=1717387477:S=AA-Afja3ZyvegUx9PpJpyU3JRtKG; _ga=GA1.2.1905777825.1717386827; _gid=GA1.2.1124439812.1717387480; pbjs_fabrickId=%7B%22fabrickId%22%3A%22E1%3AZZkbPxuXzPC-yttqf7OyQwqyZ4d59gxkbK9Q9mAMU6KKtKk-zyILipMXIxtHYjde-k20DDHHi6M_4jJU4r9LAuwgRg_9_51CF7Sii2B_ST0%22%7D; flash=BAh7DEkiDHN1Y2Nlc3MGOgZFRjBJIgtub3RpY2UGOwBGMEkiDHdhcm5pbmcGOwBGMEkiDG1lc3NhZ2UGOwBGMEkiCmVycm9yBjsARjBJIg5wZXJtYW5lbnQGOwBGMEkiEW1vZGFsX25vdGljZQY7AEYw--f6b5339a8f734d46392574bf61fd69c472ec51d6; __utmb=186399478.31.7.1717387752666; _dd_s=rum=0&expire=1717388665794
More Related Content
Similar to Human Centred ai
AI Orange Belt - Session 2
Harness the power of Artificial Intelligence abilities - session 2 of AI Orange Belt training for business managers & executives.
www.aiblackbelt.com
Ai demystified for HR and TA leaders
Leading and leaning-in on Ai in Recruitment
● What is Ai and why does it matter?
● What value does Ai add to the recruitment life cycle?
● What risks should you be aware of?
● Key questions to ask to evaluate and mitigate risks
● The FAIR™ Framework
● The Power of intelligent chat to Hire with Heart
Introduction to Machine Learning
This presentation gives an introduction to the basics of machine learning in simple terms
Ai in insurance how to automate insurance claim processing with machine lear...
Explore more at https://skyl.ai/form?p=start-trial
About the webinar
Insurance companies are looking at technology to solve complexity created by the presence of cumbersome processes and the presence of multiple entities like actuaries, support team and customers in the claim processing cycle.
Today, a lot of insurance companies are opting for Machine Learning to simplify and automate the processes to reduce fraudulent claims, predict underwriting risks, improve customer relationship management. This automated insurance claim process can remove excessive human intervention or manual errors and can report the claim, capture damage, update the system and communicate with the customers by itself. This leads to an effortless process enabling clients to file their claims without much hassle.
In this webinar, we will discuss how insurers are increasingly relying on machine learning to improve claim processing efficiency and increase ROI.
Projects
Learnbay provides industry accredited data science courses in Bangalore. We understand the conjugation of technology in the field of Data science hence we offer significant courses like Machine learning, Tensor flow, IBM watson, Google Cloud platform, Tableau, Hadoop, time series, R and Python. With authentic real time industry projects. Students will be efficient by being certified by IBM. Around hundreds of students are placed in promising companies for data science role. Choosing Learnbay you will reach the most aspiring job of present and future.
Learnbay data science course covers Data Science with Python,Artificial Intelligence with Python, Deep Learning using Tensor-Flow. These topics are covered and co-developed with IBM.
AI Recruitment - How Businesses Are Winning the Race for the Talent
About the webinar
Have you ever faced this situation wherein your recruitment team didn’t get enough time to build a stellar candidate experience and faced a hard time sifting through thousands of resumes and scheduling calls?
According to a survey by HR.com, in today's time one in ten recruiters use AI and nearly half expect to adopt it in their recruitment process within the next 5 years to keep up with changing market pace.
Over the course of 45 minutes, you will gain insights into how AI is changing recruitment and giving companies a competitive edge.
What you'll learn:
- How organizations are leveraging AI to accelerate the search for top talent
- Live Demo of smart resume search using Natural language processing
- Best practice to automate machine learning models in hours not months
To explore more, visit: https://skyl.ai/form?p=start-trial
Human in-the-loop in Machine Learning
HITL machine learning is a type of artificial intelligence that combines to power both human and machine intelligence to create better ML models.
AI in Retail
Presented a talk on AI in Retail as part of upAI summit at IIT Kharagpur. http://upai-summit.in/ IIT Kharagpur,
Dr Bonnie Cheuk IDC Future of Work Keynote: Workforce Transformation Human Ma...
Dr Bonnie Cheuk, AstraZeneca Digital Transformation & Global Capability Leader (Learning Culture and Learning Agility), delivered a keynote at IDC Future of Work Conference on 3 Mar 2020. She provoked the audience to go beyond the hype, and think deeper on how human and AI and data-driven Machine collaborate together.
These 3 questions were discussed:
1. How should human and machine collaborate? What skills are required?
2. Will machines replace (most) jobs?
3. Will there be new jobs to enable human-machine collaboration?
Drawing on Dervin's Sense-Making Methodology, Bonnie reminded us that human beings are not robotic machines. Human beings have feelings, experience, we are both scientists and artists, we are analytics and we are emotional.
Bonnie asked the audience how would you like to build a high performance team? Who do you want to put in the team? Do you want everyone to have the same strength, same skills? Or would you pick a team making up of players who can complement one another, and can bring out the best of one another. So in order to propose how human and machine should collaborate in the future of work, it is useful to first ask: what is the strength of human beings? What is the strength of the machine? We need to understanding how AI-driven machines learn vs how human beings learned, and play to one another's strength. And what is the strength of human? It is being human. Let the machine handle the deductive reasoning, the data-driven predictions, repetitive tasks. Let the humans do what we do well, adapting, navigating the unknown, use our human skills, promote collective sense making to make judgement, decisions. And free up the time to allow us to learn, create and innovate.
Bonnie highlighted that there are many unknowns as to how AI will be further developed, and there are ethical issues and risks that have to be addressed, and there are no precedents to follow. Collective human sense making is critical to bring out multiple perspectives from different stakeholders, to co-create AI-driven machines that human beings can trust, and to collectively address tricky ethical issues early on. Dervin’s Sense-Making Metaphor is introduced to facilitate two-way dialogue, to address power issues, and to explore common and divergent views to build common understanding of potential challenges, and co-create solutions to address them.
What are the Assumptions About Data Products by Hiya.com Lead PM
Learn how to build a new data product in a company focused on core product growth and success at scale.
Prototyping and MVPs for startups
Moving from an idea to a Minimum Viable Product
A quick introduction to the notion of the MVP – what a Minimum Viable Product is, why you need, and why it is a critical success factor for startups
How to move from a problem to a properly-defined MVP - steps, activity and best practices to follow
the book: https://www.theinnovationmode.com/
Agile Network India | Collaborative Intelligence – (Human + AI) and Ethical C...
Agile Network India | Collaborative Intelligence – (Human + AI) and Ethical Challenges by Debasish Hazra
AI in Insurance: How to Automate Insurance Claim Processing with Machine Lear...
About the webinar
Insurance companies are looking at technology to solve complexity created by presence of cumbersome processes and presence of multiple entities like actuaries, support team and customers in the claim processing cycle.
Today, a lot of insurance companies are opting for Machine Learning to simplify and automate the processes to reduce fraudulent claims, predict underwriting risks, improve customer relationship management. This automated insurance claim process can remove excessive human intervention or manual errors and can report the claim, capture damage, update the system and communicate with the customers by itself. This leads to an effortless process enabling clients to file their claims without much hassle.
In this webinar, we will discuss how insurers are increasingly relying on machine learning to improve claim processing efficiency and increase ROI.
What you'll learn
- How Insurance companies are using ML to drive more efficiency and business gain
- Best practices to automate machine learning models
- Demo: A deeper understanding of the end-to-end machine learning workflow for car damage recognition using Skyl.ai
Discussion - Weeks 1–2COLLAPSETop of FormShared Practice—Rol.docx
Discussion - Weeks 1–2
COLLAPSE
Top of Form
Shared Practice—Role of Business Information Systems
Note: This Discussion has slightly different due dates than what is typical for this program. Be mindful of this as you post and respond in the Discussion. Your post is due on Day 7 and your Response is due on Day 3 of Week 2.
As a manager, it is critical for you to understand the types of business information systems available to support business operations, management, and strategy. As of 2013, these include, but are certainly not limited to the following:
· Supply Chain Management (SCM)
· Accounting Information System
· Customer Relationship Management (CRM)
· Decision Support Systems (DSS)
· Enterprise Resource Planning (ERP)
· Human Resource Management
These types of systems support critical business functions and operations that every organization must manage. The effective manager understands the purpose of these types of systems and how they can be best used to manage the organization's data and information.
In this Discussion, you will share your knowledge and findings related to business information systems and the role they play in your organization. You will also consider your colleagues' experiences to explore additional ways business information systems might be applied in your colleagues' organizations, or an organization with which you are familiar.
By Day 7
· Describe two or three of the more important technologies or business information systems used in your organization, or in one with which you are familiar.
· Discuss two examples of how these business information systems are affecting the organization you selected. Be sure to discuss how individual behaviors and organizational or individual processes are changing and what you can learn from the issues encountered.
· Summarize what you have learned about the importance of business information systems and why managers need to understand how systems can be used to the organization's advantage.
You should find and use at least one additional current article from a credible resource, either from the Walden Library or the Internet. Please be specific, and remember to use citations and references as necessary.
General Guidance: Your initial Discussion post, due by Day 7, will typically be 3–4 paragraphs in length as a general expectation/estimate. Refer to the rubric for the Week 1 Discussion for grading elements and criteria. Your Instructor will use the rubric to assess your work.
Week 2
By Day 3
In your Week 1 Discussion you described how business information systems have been applied in an organization with which you are familiar. Read through your colleagues' posts and by Day 3 (Week 2), respond to two of your colleagues in one or more of the following ways:
· Examine how the business information systems described by your colleague could be or are being used by your organization. Offer additional ways either organization might take advantage of these systems.
· Examine how the b ...
Latest People Management lessons from Pexitics
We at Pexitics (Pexitics.com) have launched a series of Learning initiatives for the Smart People Manager.
Join us to know smart ways of making informed and evidence-based People decisions .. just the way Google does
Reach me at Subhashini@pexitics.com
Lessons learnt from applying PyData to GetYourGuide marketing
For all e-commerce sites, marketing is a big part of the business and marketing efficiency and effectiveness are critical to their success. Companies must make many data-driven decisions in order to reach customers that their competitors don’t, maximize the revenue of each click, decide wisely what are the costs to cut, enter new markets, etc.
GetYourGuide has been working for more than two years on building a marketing intelligence that allows us growing our marketing efforts in the travel market without building a huge team or buying extremely expensive tools.
All the decisions are supported by a dedicated system that runs on the PyData stack that allows marketers to extract valuable insights from data and performs critical marketing tasks: keyword mining, campaign automation, predictive modeling, omni-channel marketing data integration, customer segmentation, pattern mining from click data, etc.
As a result of this, we were able to scale up 3 times our marketing efforts, launch campaigns in 13 markets and automate 75% of our work only in the last 8 months. But this is not the end of our journey, GetYourGuide is building a Data Science team to understand travelers needs and wants and make our Customers' trips amazing.
From an idea to an MVP: a guide for startups
The Minimum Viable product and why it is critical for a startup. How to get from an idea to an MVP through a prototype. How to speed up your software prototyping process. Techniques to help you experiment and capture feedback.
As a founder, It is very important to deeply understand the notion of the MVP. You need to use it as part of a method or a framework to help you make better product decisions – and mitigate or avoid known risks. So this definition by Eric Ries, defines the MVP as ‘ …a product with just enough features to satisfy early customers, and to provide feedback’.
Your MVP must solve the problem for your customers; your users should get value out of it; your MVP should be good enough so the users engage with it and potentially pay for it;
Your early customers should be so happy with your product to act as promoters – to recommend it to others and publicly share positive feedback.
https://www.theinnovationmode.com/
Similar to Human Centred ai (20)
Ai in insurance how to automate insurance claim processing with machine lear...
Ai in insurance how to automate insurance claim processing with machine lear...
AI Recruitment - How Businesses Are Winning the Race for the Talent
AI Recruitment - How Businesses Are Winning the Race for the Talent
Dr Bonnie Cheuk IDC Future of Work Keynote: Workforce Transformation Human Ma...
Dr Bonnie Cheuk IDC Future of Work Keynote: Workforce Transformation Human Ma...
What are the Assumptions About Data Products by Hiya.com Lead PM
What are the Assumptions About Data Products by Hiya.com Lead PM
Agile Network India | Collaborative Intelligence – (Human + AI) and Ethical C...
Agile Network India | Collaborative Intelligence – (Human + AI) and Ethical C...
AI in Insurance: How to Automate Insurance Claim Processing with Machine Lear...
AI in Insurance: How to Automate Insurance Claim Processing with Machine Lear...
Discussion - Weeks 1–2COLLAPSETop of FormShared Practice—Rol.docx
Discussion - Weeks 1–2COLLAPSETop of FormShared Practice—Rol.docx
Lessons learnt from applying PyData to GetYourGuide marketing
Lessons learnt from applying PyData to GetYourGuide marketing
Changing the game of user experience — refresh, renew, reimagine
Changing the game of user experience — refresh, renew, reimagine
Recently uploaded
Design Thinking Design thinking Design thinking
browser_id=0805f5bf-ce9a-4428-95d6-d033e2e99357; country_code=HK; osano_consentmanager_uuid=e15f0d2d-abea-4bd1-8577-fd4496790f18; osano_consentmanager=jLf5tMmyGrJqqkCKKefFwIVpDtiqgmGXw27g5gYdfQpk4hOXYBfZCKCzPBWYdK8w1lcTqLap8QS67svOUbat03XkUWKpqKEsLCK3mjSUmA3OnMuRFuNcW9HVt3YeaJgOUXcJUn5WeIq8q9VtmrJKMuvXgOOyCNgJWMAZwoEMWDFkG3j7qcUcs1NPsqtUuw0j0wfj8i4zlaJfa3IvQPG_D4D260JFXkQhYznGXb5sE5mPs-APZIQtxPHmFwkJdDYoBoMM5i6BZTOE3CooiHLlsht3rOOPQg88XYMzui4zjk9McsqToNHwDRV6b9Kej7cm8wKYlnWd2VvhLptTLhhm5ZKtGgKGzvw1_typZRzwu9MKcBj0yTeYwGRJRAKuVn47zkhpHSgnz6D1l16vepyuyiQ8MPZIOh8c_uGbHMcyoaVTDaayQ8U8px9wRqFxUSyZEpQTa_fi5T-6Uz_R67Brn2PS-d4tvXLr66ldhAZ1Jf__4OIznZdrqvDR_Z2ebTeVTu5ATJ1DvLZ4i1BLFhcurWlu5l8T0-Jhw6DJ34hHUusbWzObZ3YFnj__0ei7tWJgFrkFO9CJagQ3viMmBxQ7AkTVJEHyjWU9; _fs_sample_user=false; _cookie_id=0a94bc58797e85f5de6c93345f64781e; __utma=186399478.1905777825.1717386827.1717386827.1717386827.1; __utmc=186399478; __utmz=186399478.1717386827.1.1.utmcsr=(direct)|utmccn=(direct)|utmcmd=(none); logged_in=MjUwNTA4MTg3--b7017508f246f17817fd3e608989a3ea5afca79b; _uv_id=30907880; __utmv=186399478.|1=member_type=FREE=1; __utmt=1; split=%7B%22connatix_player%22%3A%22control%22%7D; _li_dcdm_c=.slideshare.net; _lc2_fpi=064716c27ff8--01hze4afgcx42z2sfzncwg116f; _lc2_fpi_meta=%7B%22w%22%3A1717387476492%7D; cookie=579db3e3-4e1c-4ac9-a9db-002f2d678eef; cookie_cst=zix7LPQsHA%3D%3D; _lr_retry_request=true; _lr_env_src_ats=false; ccuid=70541430-c837-48de-9b38-b4f3df46fe15; ccsid=a9cca90f-eb12-4a61-b312-3155fe2cedc9; pbjs_fabrickId_cst=VyxHLMwsHQ%3D%3D; __qca=P0-718305261-1717387477147; _au_1d=AU1D-0100-001717387478-RZGCHPIP-HI28; cnx_userId=1a25f8b38d594f66bdfcd9b623574d7e; __gads=ID=b0c257cd8837a2d5:T=1717387477:RT=1717387477:S=ALNI_MZemOB79GYzmJy3MDitud8C8ts5nA; __gpi=UID=00000e3fd92e5908:T=1717387477:RT=1717387477:S=ALNI_MZR3uQlHjpZGt6pPAiR8bAmgQiNMw; __eoi=ID=120019e4653fcac0:T=1717387477:RT=1717387477:S=AA-Afja3ZyvegUx9PpJpyU3JRtKG; _ga=GA1.2.1905777825.1717386827; _gid=GA1.2.1124439812.1717387480; pbjs_fabrickId=%7B%22fabrickId%22%3A%22E1%3AZZkbPxuXzPC-yttqf7OyQwqyZ4d59gxkbK9Q9mAMU6KKtKk-zyILipMXIxtHYjde-k20DDHHi6M_4jJU4r9LAuwgRg_9_51CF7Sii2B_ST0%22%7D; flash=BAh7DEkiDHN1Y2Nlc3MGOgZFRjBJIgtub3RpY2UGOwBGMEkiDHdhcm5pbmcGOwBGMEkiDG1lc3NhZ2UGOwBGMEkiCmVycm9yBjsARjBJIg5wZXJtYW5lbnQGOwBGMEkiEW1vZGFsX25vdGljZQY7AEYw--f6b5339a8f734d46392574bf61fd69c472ec51d6; __utmb=186399478.31.7.1717387752666; _dd_s=rum=0&expire=1717388665794
一比一原版(UCB毕业证书)伯明翰大学学院毕业证成绩单如何办理
原件一模一样【微信：6496090 】【(UCB毕业证书)伯明翰大学学院毕业证成绩单】【微信：6496090 】学位证，留信认证（真实可查，永久存档）offer、雅思、外壳等材料/诚信可靠,可直接看成品样本，帮您解决无法毕业带来的各种难题！外壳，原版制作，诚信可靠，可直接看成品样本。行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备。十五年致力于帮助留学生解决难题，包您满意。
本公司拥有海外各大学样板无数，能完美还原。
1:1完美还原海外各大学毕业材料上的工艺：水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠。文字图案浮雕、激光镭射、紫外荧光、温感、复印防伪等防伪工艺。材料咨询办理、认证咨询办理请加学历顾问Q/微6496090
【主营项目】
一.毕业证【q微6496090】成绩单、使馆认证、教育部认证、雅思托福成绩单、学生卡等！
二.真实使馆公证(即留学回国人员证明,不成功不收费)
三.真实教育部学历学位认证（教育部存档！教育部留服网站永久可查）
四.办理各国各大学文凭(一对一专业服务,可全程监控跟踪进度)
如果您处于以下几种情况：
◇在校期间，因各种原因未能顺利毕业……拿不到官方毕业证【q/微6496090】
◇面对父母的压力，希望尽快拿到；
◇不清楚认证流程以及材料该如何准备；
◇回国时间很长，忘记办理；
◇回国马上就要找工作，办给用人单位看；
◇企事业单位必须要求办理的
◇需要报考公务员、购买免税车、落转户口
◇申请留学生创业基金
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
White wonder, Work developed by Eva Tschopp
White Wonder by Eva Tschopp
A tale about our culture around the use of fertilizers and pesticides visiting small farms around Ahmedabad in Matar and Shilaj.
一比一原版(RHUL毕业证书)伦敦大学皇家霍洛威学院毕业证如何办理
学校原件一模一样【微信：6496090 】【(RHUL毕业证书)伦敦大学皇家霍洛威学院毕业证成绩单】【微信：6496090 】学位证，留信认证（真实可查，永久存档）原件一模一样纸张工艺/offer、雅思、外壳等材料/诚信可靠,可直接看成品样本，帮您解决无法毕业带来的各种难题！外壳，原版制作，诚信可靠，可直接看成品样本。行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备。十五年致力于帮助留学生解决难题，包您满意。
本公司拥有海外各大学样板无数，能完美还原。
1:1完美还原海外各大学毕业材料上的工艺：水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠。文字图案浮雕、激光镭射、紫外荧光、温感、复印防伪等防伪工艺。材料咨询办理、认证咨询办理请加学历顾问Q/微6496090
【主营项目】
一.毕业证【q微6496090】成绩单、使馆认证、教育部认证、雅思托福成绩单、学生卡等！
二.真实使馆公证(即留学回国人员证明,不成功不收费)
三.真实教育部学历学位认证（教育部存档！教育部留服网站永久可查）
四.办理各国各大学文凭(一对一专业服务,可全程监控跟踪进度)
如果您处于以下几种情况：
◇在校期间，因各种原因未能顺利毕业……拿不到官方毕业证【q/微6496090】
◇面对父母的压力，希望尽快拿到；
◇不清楚认证流程以及材料该如何准备；
◇回国时间很长，忘记办理；
◇回国马上就要找工作，办给用人单位看；
◇企事业单位必须要求办理的
◇需要报考公务员、购买免税车、落转户口
◇申请留学生创业基金
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
办理(RHUL毕业证书)伦敦大学皇家霍洛威学院毕业证【微信：6496090 】外观非常简单，由纸质材料制成，上面印有校徽、校名、毕业生姓名、专业等信息。
办理(RHUL毕业证书)伦敦大学皇家霍洛威学院毕业证【微信：6496090 】格式相对统一，各专业都有相应的模板。通常包括以下部分：
校徽：象征着学校的荣誉和传承。
校名:学校英文全称
授予学位：本部分将注明获得的具体学位名称。
毕业生姓名：这是最重要的信息之一，标志着该证书是由特定人员获得的。
颁发日期：这是毕业正式生效的时间，也代表着毕业生学业的结束。
其他信息：根据不同的专业和学位，可能会有一些特定的信息或章节。
办理(RHUL毕业证书)伦敦大学皇家霍洛威学院毕业证【微信：6496090 】价值很高，需要妥善保管。一般来说，应放置在安全、干燥、防潮的地方，避免长时间暴露在阳光下。如需使用，最好使用复印件而不是原件，以免丢失。
综上所述，办理(RHUL毕业证书)伦敦大学皇家霍洛威学院毕业证【微信：6496090 】是证明身份和学历的高价值文件。外观简单庄重，格式统一，包括重要的个人信息和发布日期。对持有人来说，妥善保管是非常重要的。
一比一原版(UAL毕业证书)伦敦艺术大学毕业证成绩单如何办理
原件一模一样【微信：6496090 】【(UAL毕业证书)伦敦艺术大学毕业证成绩单】【微信：6496090 】学位证，留信认证（真实可查，永久存档）offer、雅思、外壳等材料/诚信可靠,可直接看成品样本，帮您解决无法毕业带来的各种难题！外壳，原版制作，诚信可靠，可直接看成品样本。行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备。十五年致力于帮助留学生解决难题，包您满意。
本公司拥有海外各大学样板无数，能完美还原。
1:1完美还原海外各大学毕业材料上的工艺：水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠。文字图案浮雕、激光镭射、紫外荧光、温感、复印防伪等防伪工艺。材料咨询办理、认证咨询办理请加学历顾问Q/微6496090
【主营项目】
一.毕业证【q微6496090】成绩单、使馆认证、教育部认证、雅思托福成绩单、学生卡等！
二.真实使馆公证(即留学回国人员证明,不成功不收费)
三.真实教育部学历学位认证（教育部存档！教育部留服网站永久可查）
四.办理各国各大学文凭(一对一专业服务,可全程监控跟踪进度)
如果您处于以下几种情况：
◇在校期间，因各种原因未能顺利毕业……拿不到官方毕业证【q/微6496090】
◇面对父母的压力，希望尽快拿到；
◇不清楚认证流程以及材料该如何准备；
◇回国时间很长，忘记办理；
◇回国马上就要找工作，办给用人单位看；
◇企事业单位必须要求办理的
◇需要报考公务员、购买免税车、落转户口
◇申请留学生创业基金
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
Storytelling For The Web: Integrate Storytelling in your Design Process
In this slides I explain how I have used storytelling techniques to elevate websites and brands and create memorable user experiences. You can discover practical tips as I showcase the elements of good storytelling and its applied to some examples of diverse brands/projects..
ARENA - Young adults in the workplace (Knight Moves).pdf
Presentations of Bavo Raeymaekers (Project lead youth unemployment at the City of Antwerp), Suzan Martens (Service designer at Knight Moves) and Adriaan De Keersmaeker (Community manager at Talk to C)
during the 'Arena • Young adults in the workplace' conference hosted by Knight Moves.
Technoblade The Legacy of a Minecraft Legend.
Technoblade, born Alex on June 1, 1999, was a legendary Minecraft YouTuber known for his sharp wit and exceptional PvP skills. Starting his channel in 2013, he gained nearly 11 million subscribers. His private battle with metastatic sarcoma ended in June 2022, but his enduring legacy continues to inspire millions.
Design Thinking Design thinking Design thinking
https://www.google.com/maps/d/view?mid=1GLIP8ROi4pdWoJ20H59hiDkXGn_aau0&ll=22.396537375469673%2C114.10949749999997&z=11
https://www.google.com/maps/d/view?mid=1VqNLpP6H4bXwKQoiq7ctlJ6hV6Rf7bU&ll=22.396537375469673%2C114.10949749999997&z=11
https://www.google.com/maps/d/view?mid=1P9FRl4ZIqXk8l_6Q3BzRa-6I-m5dSMw&ll=22.396537375469673%2C114.10949749999997&z=11
https://www.google.com/maps/d/view?mid=1S47yy5qCcoQnEIj8-8VWfFP3KF8F5dE&ll=22.396537375469673%2C114.10949749999997&z=11
https://www.google.com/maps/d/view?mid=1GjI1ThsmUCrOPcnT5LeAzdNFxVigfG8&ll=22.396537375469673%2C114.10949749999997&z=11
https://www.google.com/maps/d/view?mid=1jaCJIVbvR0eIjwaQTzCl4todLsfxCYY&ll=22.396537375469673%2C114.10949749999997&z=11
https://www.google.com/maps/d/view?mid=19cUdSW_Zt7BZnwBX5owfJfjSL9X5nFU&ll=22.396537375469673%2C114.10949749999997&z=11
https://www.google.com/maps/d/view?mid=1VZdW6ZnJJLMNqRa0x_dYPVgQ5aEvgnc&ll=22.396537375469673%2C114.10949749999997&z=11
https://www.google.com/maps/d/view?mid=1wJYkMPkdjK0D8PYQeKQCPR5vbnfJSfo&ll=22.396537375469673%2C114.10949749999997&z=11
https://www.google.com/maps/d/view?mid=1WeIHKG9Zhi_JaLfqSC845HAeS65f894&ll=22.396537375469673%2C114.10949749999997&z=11
https://www.google.com/maps/d/view?mid=15LiUYaeD2uCOeHMKvn9tQ6tLCOsxcv0&ll=22.396537375469673%2C114.10949749999997&z=11
https://www.google.com/maps/d/view?mid=1iLLsh30u99WyTc8rRXL4wUUsSp5MnJk&ll=22.396537375469673%2C114.10949749999997&z=11
https://www.google.com/maps/d/view?mid=1S03vvWWj_n6xBxG8SKepMSOj7wrfHRQ&ll=22.396537375469673%2C114.10949749999997&z=11
https://www.google.com/maps/d/view?mid=1tn4RiW3Skp5YCJ_a-GlA7TJub2Ia7Oc&ll=22.396537375469673%2C114.10949749999997&z=11
https://www.google.com/maps/d/view?mid=1HafSOZ3MkJGTXBeI_L_t5lKjxZ6XayE&ll=22.396537375469673%2C114.10949749999997&z=11
https://www.google.com/maps/d/view?mid=19tqnZi3jiWXyBjrt0EL5C3_h_RW2dII&ll=22.396537375469673%2C114.10949749999997&z=11
https://www.google.com/maps/d/view?mid=1pj59fnGHnUAEdsdwfba4GdR9R-FsSfc&ll=22.396537375469673%2C114.10949749999997&z=11
https://www.google.com/maps/d/view?mid=1jH7Mh5Qc0cGsM7tNjApTN5mn5sr3sWA&ll=22.396537375469673%2C114.10949749999997&z=11
https://www.google.com/maps/d/view?mid=192sbDAjg_ufyPg3gOa-QPLaQe4Teb9s&ll=22.396537375469673%2C114.10949749999997&z=11
https://www.google.com/maps/d/view?mid=1O7GD4hBEOg-BVrdKpqYQhMAl-wUU4Go&ll=22.396537375469673%2C114.10949749999997&z=11
https://www.google.com/maps/d/view?mid=13ViiBwWTWravc5uHEmkyPyzVgbNAIu4&ll=22.396537375469673%2C114.10949749999997&z=11
Mohannad Abdullah portfolio _ V2 _22-24
Mohannad Abdullah
Architecture | Interior Design
portoflio_V2_22-24
Timeless Principles of Good Design
Timeless Principles of Good Design from my 2015 Presentation at TYPO SF
SECURING BUILDING PERMIT CITY OF CALOOCAN.pdf
How to apply for building permit in the city of Caloocan?
What is a building permit?
Who applies for building permit?
RTUYUIJKLDSADAGHBDJNKSMAL,D
https://www.google.com/maps/d/view?mid=1sUh3J7CFB6kguEvIDkmPSzgGNxYaDhc&ll=22.396537375469673%2C114.10949749999997&z=11
https://www.google.com/maps/d/view?mid=1GWQ7LizxATvu7y-bt2xjmiR0P9wLHqY&ll=22.396537375469673%2C114.10949749999997&z=11
https://www.google.com/maps/d/view?mid=1l7Lm-hNSlrPpBTI9qKwBJe1KSvksnms&ll=22.396537375469673%2C114.10949749999997&z=11
https://www.google.com/maps/d/view?mid=1ZJXFE_xD9hCAuHpBVfJLcgbvRHcKopg&ll=22.396537375469673%2C114.10949749999997&z=11
https://www.google.com/maps/d/view?mid=1XoZIkPbr-MLXDsODmyJeDVnIadiHkWI&ll=22.396537375469673%2C114.10949749999997&z=11
https://www.google.com/maps/d/view?mid=1AtajAG0zUmrX53ylHYCAFJHLn862Nfc&ll=22.396537375469673%2C114.10949749999997&z=11
https://www.google.com/maps/d/view?mid=18aSFvPkj4MvrWde4hysVZMM2L46sBxY&ll=22.396537375469673%2C114.10949749999997&z=11
https://www.google.com/maps/d/view?mid=1b2euLR3o4p9VDAnc5ZOL6HlZB8RdWaw&ll=22.396537375469673%2C114.10949749999997&z=11
https://www.google.com/maps/d/view?mid=1t1I0y_yW7QP6-vgZLHvOwglg3ZmQEW0&ll=22.396537375469673%2C114.10949749999997&z=11
https://www.google.com/maps/d/view?mid=1BH69YAovncRgbT3yuhHAAzbYBRbArCc&ll=22.396537375469673%2C114.10949749999997&z=11
https://www.google.com/maps/d/view?mid=1m0JQ5DAnT4HdotWcMTbm6WneUoZ3KUw&ll=22.396537375469673%2C114.10949749999997&z=11
https://www.google.com/maps/d/view?mid=1QhzciwHou4r_jf9bxH5fdtJNdaaJTu4&ll=22.396537375469673%2C114.10949749999997&z=11
https://www.google.com/maps/d/view?mid=1ZBwviiuK2GzaecrgHYcLpYdN3wASY-A&ll=22.396537375469673%2C114.10949749999997&z=11
https://www.google.com/maps/d/view?mid=11VxH4QjTUPWnqTDoMu2PrJrgI_FJaQ0&ll=22.396537375469673%2C114.10949749999997&z=11
https://www.google.com/maps/d/view?mid=159dCa7xRBeHO4PXXJHNUUEI_jmzpZps&ll=22.396537375469673%2C114.10949749999997&z=11
https://www.google.com/maps/d/view?mid=1HdkRNw1TJ3QGyPts1okzKRA4P_pHZHI&ll=22.396537375469673%2C114.10949749999997&z=11
https://www.google.com/maps/d/view?mid=10RlWXDSpqq7yk5xikeY7LvKg5geeJYk&ll=22.396537375469673%2C114.10949749999997&z=11
https://www.google.com/maps/d/view?mid=1KIB58j_7i4hmkXYmpZsGcOQ1oO1AQ34
https://www.google.com/maps/d/view?mid=1_AxSjNV8aBeEFPm3pbkKYrabAiujb28&ll=22.396537375469673%2C114.10949749999997&z=11
https://www.google.com/maps/d/view?mid=1T5OZwXLKNsVuRJTgBJdbOYswvfA7UOI&ll=22.396537375469673%2C114.10949749999997&z=11
https://www.google.com/maps/d/view?mid=1RC5R1ljDF2fVzcxL49_Ow1hOvIXD6nA&ll=22.396537375469673%2C114.10949749999997&z=11
UNIT IV-VISUAL STYLE AND MOBILE INTERFACES.pptx
Visual Style and Aesthetics: Basics of Visual Design
Visual Design for Enterprise Applications
Range of Visual Styles.
Mobile Interfaces:
Challenges and Opportunities of Mobile Design
Approach to Mobile Design
Patterns
一比一原版(BU毕业证书)伯恩茅斯大学毕业证成绩单如何办理
原件一模一样【微信：6496090 】【(BU毕业证书)伯恩茅斯大学毕业证成绩单】【微信：6496090 】学位证，留信认证（真实可查，永久存档）offer、雅思、外壳等材料/诚信可靠,可直接看成品样本，帮您解决无法毕业带来的各种难题！外壳，原版制作，诚信可靠，可直接看成品样本。行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备。十五年致力于帮助留学生解决难题，包您满意。
本公司拥有海外各大学样板无数，能完美还原。
1:1完美还原海外各大学毕业材料上的工艺：水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠。文字图案浮雕、激光镭射、紫外荧光、温感、复印防伪等防伪工艺。材料咨询办理、认证咨询办理请加学历顾问Q/微6496090
【主营项目】
一.毕业证【q微6496090】成绩单、使馆认证、教育部认证、雅思托福成绩单、学生卡等！
二.真实使馆公证(即留学回国人员证明,不成功不收费)
三.真实教育部学历学位认证（教育部存档！教育部留服网站永久可查）
四.办理各国各大学文凭(一对一专业服务,可全程监控跟踪进度)
如果您处于以下几种情况：
◇在校期间，因各种原因未能顺利毕业……拿不到官方毕业证【q/微6496090】
◇面对父母的压力，希望尽快拿到；
◇不清楚认证流程以及材料该如何准备；
◇回国时间很长，忘记办理；
◇回国马上就要找工作，办给用人单位看；
◇企事业单位必须要求办理的
◇需要报考公务员、购买免税车、落转户口
◇申请留学生创业基金
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
一比一原版(UNUK毕业证书)诺丁汉大学毕业证如何办理
学校原件一模一样【微信：6496090 】【(UNUK毕业证书)诺丁汉大学毕业证成绩单】【微信：6496090 】学位证，留信认证（真实可查，永久存档）原件一模一样纸张工艺/offer、雅思、外壳等材料/诚信可靠,可直接看成品样本，帮您解决无法毕业带来的各种难题！外壳，原版制作，诚信可靠，可直接看成品样本。行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备。十五年致力于帮助留学生解决难题，包您满意。
本公司拥有海外各大学样板无数，能完美还原。
1:1完美还原海外各大学毕业材料上的工艺：水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠。文字图案浮雕、激光镭射、紫外荧光、温感、复印防伪等防伪工艺。材料咨询办理、认证咨询办理请加学历顾问Q/微6496090
【主营项目】
一.毕业证【q微6496090】成绩单、使馆认证、教育部认证、雅思托福成绩单、学生卡等！
二.真实使馆公证(即留学回国人员证明,不成功不收费)
三.真实教育部学历学位认证（教育部存档！教育部留服网站永久可查）
四.办理各国各大学文凭(一对一专业服务,可全程监控跟踪进度)
如果您处于以下几种情况：
◇在校期间，因各种原因未能顺利毕业……拿不到官方毕业证【q/微6496090】
◇面对父母的压力，希望尽快拿到；
◇不清楚认证流程以及材料该如何准备；
◇回国时间很长，忘记办理；
◇回国马上就要找工作，办给用人单位看；
◇企事业单位必须要求办理的
◇需要报考公务员、购买免税车、落转户口
◇申请留学生创业基金
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
办理(UNUK毕业证书)诺丁汉大学毕业证【微信：6496090 】外观非常简单，由纸质材料制成，上面印有校徽、校名、毕业生姓名、专业等信息。
办理(UNUK毕业证书)诺丁汉大学毕业证【微信：6496090 】格式相对统一，各专业都有相应的模板。通常包括以下部分：
校徽：象征着学校的荣誉和传承。
校名:学校英文全称
授予学位：本部分将注明获得的具体学位名称。
毕业生姓名：这是最重要的信息之一，标志着该证书是由特定人员获得的。
颁发日期：这是毕业正式生效的时间，也代表着毕业生学业的结束。
其他信息：根据不同的专业和学位，可能会有一些特定的信息或章节。
办理(UNUK毕业证书)诺丁汉大学毕业证【微信：6496090 】价值很高，需要妥善保管。一般来说，应放置在安全、干燥、防潮的地方，避免长时间暴露在阳光下。如需使用，最好使用复印件而不是原件，以免丢失。
综上所述，办理(UNUK毕业证书)诺丁汉大学毕业证【微信：6496090 】是证明身份和学历的高价值文件。外观简单庄重，格式统一，包括重要的个人信息和发布日期。对持有人来说，妥善保管是非常重要的。
Connect Conference 2022: Passive House - Economic and Environmental Solution...
Passive House: The Economic and Environmental Solution for Sustainable Real Estate. Lecture by Tim Eian of TE Studio Passive House Design in November 2022 in Minneapolis.
- The Built Environment
- Let's imagine the perfect building
- The Passive House standard
- Why Passive House targets
- Clean Energy Plans?!
- How does Passive House compare and fit in?
- The business case for Passive House real estate
- Tools to quantify the value of Passive House
- What can I do?
- Resources
Recently uploaded (20)
Коричневый и Кремовый Деликатный Органический Копирайтер Фрилансер Марке...
Коричневый и Кремовый Деликатный Органический Копирайтер Фрилансер Марке...
Storytelling For The Web: Integrate Storytelling in your Design Process
Storytelling For The Web: Integrate Storytelling in your Design Process
ARENA - Young adults in the workplace (Knight Moves).pdf
ARENA - Young adults in the workplace (Knight Moves).pdf
Connect Conference 2022: Passive House - Economic and Environmental Solution...
Connect Conference 2022: Passive House - Economic and Environmental Solution...
Human Centred ai
- 1. Human Centred AI - Nilotpal Nayan
- 2. Who Am I ? I am - UX Designer I work - at WhatFix UX Designer + Founder MyCampusCart Reachout to me for - Design Discussion/Talks/Mentorship/UX Courses 2
- 3. Human Centred Ai - What is AI - Different Kinds of AI - How to incorporate Ai for designing Human Centred Products 3
- 4. What is Ai? A machine entity that can Learn, Adapt, and Self-correct. 4
- 5. What is Ai? A machine entity that can Learn, Adapt, and Self-correct. 5
- 6. What is Ai? 1. Learn - Set of instructions - A definite success criteria - Training Set 2. Adapt 3. Self-correct 6
- 7. What is Ai? 1. Learn 2. Adapt - Use the existing data and outcome to predict outcome of future. 3. Self-correct 7
- 8. What is Ai? 1. Learn 2. Adapt 3. Self-correct - Use improvised instructions and do more training. 8
- 9. Kinds of AI From a Bird’s-eye -view Ai can do two kind of Task - 1. Automation 2. Augmentation 9
- 10. Kinds of AI - Examples 10 Voice assistants - Siri, Alexa, Google Home Image recognition - Google lens. Ai Powered Robots - Sophie.
- 11. Incorporating Ai for designing Human Centred Products 11 1. Defining User Needs and Success Criteria 2. Data Collection 3. Mental Model 4. Explainability and Trust
- 12. Defining User Needs and Success Criteria
- 13. Defining User Needs and Success Criteria 13 “Even the best AI will fail if it doesn’t provide unique value to users.
- 14. Defining User Needs and Success Criteria 14 “Even the best AI will fail if it doesn’t provide unique value to users. - A Enough Smart Guy
- 15. Defining User Needs and Success Criteria 15 Identify if Ai can add unique value?
- 16. Defining User Needs and Success Criteria 16 When AI is probably better- 1. Personalisation 2. Prediction of future events 3. Detection of low occurrence events that change over time
- 17. Defining User Needs and Success Criteria 17 When AI is probably not better at- 1. Handling Exceptional cases 2. Maintaining predictability 3. Complete transparency 4. High-value task which requires emotional decision making
- 18. Defining User Needs and Success Criteria 18 Can we use AI to ? What Problems are suitable to solve using AI
- 19. Defining user needs 19 - Is there an user need and associated behaviour pattern ? Ex. - Checking fastest route to office when you are late - Setting alarm to catch morning flight - Turning on silent mode before important meeting
- 20. Defining AI success and Reward function 20 What is acceptable and true prediction for AI? True Positive/True negative - Increase Trust + Better User experience False Positive/False Negative - May/may not decrease trust + affect User Experience Confusion Matrix
- 21. Defining AI success and Reward function 21 What is acceptable and true prediction for AI? Ex. - Google map prediction of Traffic jam.
- 22. What kind of AI ? 22 - If AI is needed, which type is Best ? Automated or Augmented
- 23. What kind of AI ? 23 Automated if - - People lack the knowledge or ability to do the task - Tasks are boring, repetitive, awkward, or dangerous
- 24. What kind of AI ? 24 Augment if - - People enjoy the task - Personal responsibility for the outcome is required or important - Specific preferences are hard to communicate
- 25. Data Collection
- 26. Data Collection 26 - Match user needs with data needs - Manage privacy & security - Protect personally identifiable information - Balance underfitting & overfitting - Consider bias in the data collection and evaluation process
- 27. Mental Model
- 28. Mental Model - Set expectations for adaptation - Design for experimentation - Connect feedback with personalization - Fail gracefully 28
- 29. Mental Model Set expectations for adaptation - Expectation of improved experience based on User’s interaction and feedback. 29
- 30. Mental Model Design for experimentation 30
- 31. Mental Model Connect feedback with personalization - Implicit Feedback - Explicit Feedback 31
- 32. Mental Model Fail gracefully - Implicit Feedback - Explicit Feedback 32
- 34. Explainability and Trust Help users calibrate their trust (if required) - Show AI’s level of confidence - Explain the source of data used - Account for situational stakes 34
- 35. UX Courses Meet the Ghost - User Research Methods - Next batch: Starts from 2nd October - Only 7 students each batch 35 Insight to Interfaces - Ideation and Wireframing - Next batch: Starts from 10th October - Only 7 students each batch
- 36. Thanks a lot Ask me anything