The document provides instructions for an assignment to complete an AI roadmap for an organization. It includes 4 sections to complete: executive summary, current state, proposed initiative, and plan of action. Guidelines state to use previous assignments to populate the roadmap template and address specific content for each section. The assignment aims to demonstrate how an organization can gain strategic advantage through AI implementation.
ARTIFICIAL INTELLIGENCE IN DRUG DISCOVERY "AN OVERVIEW OF AWARENESS"FinianCN
ARTIFICIAL INTELLIGENT IN DRUG DISCOVERY:- AN OVERVIEW OF AWARENESS.
AI is showing the potential to be a faster and more efficient way to find and develop new drugs. A growing number of organizations and universities are focusing to minimize the complexities involved in the classical way of drug discovery by using AI computing to envisage which drug candidate are most likely to be effective treatments.
It is hard to measure the adoption of AI in drug discovery. Pharma and biotech companies tend to not publicly disclose competitive technology use.
While organizations are adopting the technology, there is significant untapped potential for those willing to be more aggressive. Which is depending on the realization of the potential with education and relevant success stories
Everything you want to know about role of artificial intelligence in drug discovery.
Artificial intelligence in health care and pharmacy, drug discovery, tensorflow, python,
deep neural network, GANs
AI in drug discovery and development
AI in clinical trials
Prediction of customer propensity to churn - Telecom IndustryPranov Mishra
The aim of this project is to help a telecom company with insights on customer behavior that would be useful for retention of customers. The specific goals expected to be achieved are given below
1. Identification of the top variables driving likelihood of churn
2. Build a predictive model to identify customers who have highest probability to terminate services with the company.
3. Build a lift chart for optimization of efforts by targeting most of the potential churns with least contact efforts. Here with 30% of the total customer pool, the model accurately provides 33% of total potential churn candidates.
Models tried to arrive at the best are
1. Simple Models like Logistic Regression & Discriminant Analysis with different thresholds for classification
2. Random Forest after balancing the dataset using Synthetic Minority Oversampling Technique (SMOTE)
3. Ensemble of five individual models and predicting the output by averaging the individual output probabilities
4. Xgboost algorithm
ARTIFICIAL INTELLIGENCE IN DRUG DISCOVERY "AN OVERVIEW OF AWARENESS"FinianCN
ARTIFICIAL INTELLIGENT IN DRUG DISCOVERY:- AN OVERVIEW OF AWARENESS.
AI is showing the potential to be a faster and more efficient way to find and develop new drugs. A growing number of organizations and universities are focusing to minimize the complexities involved in the classical way of drug discovery by using AI computing to envisage which drug candidate are most likely to be effective treatments.
It is hard to measure the adoption of AI in drug discovery. Pharma and biotech companies tend to not publicly disclose competitive technology use.
While organizations are adopting the technology, there is significant untapped potential for those willing to be more aggressive. Which is depending on the realization of the potential with education and relevant success stories
Everything you want to know about role of artificial intelligence in drug discovery.
Artificial intelligence in health care and pharmacy, drug discovery, tensorflow, python,
deep neural network, GANs
AI in drug discovery and development
AI in clinical trials
Prediction of customer propensity to churn - Telecom IndustryPranov Mishra
The aim of this project is to help a telecom company with insights on customer behavior that would be useful for retention of customers. The specific goals expected to be achieved are given below
1. Identification of the top variables driving likelihood of churn
2. Build a predictive model to identify customers who have highest probability to terminate services with the company.
3. Build a lift chart for optimization of efforts by targeting most of the potential churns with least contact efforts. Here with 30% of the total customer pool, the model accurately provides 33% of total potential churn candidates.
Models tried to arrive at the best are
1. Simple Models like Logistic Regression & Discriminant Analysis with different thresholds for classification
2. Random Forest after balancing the dataset using Synthetic Minority Oversampling Technique (SMOTE)
3. Ensemble of five individual models and predicting the output by averaging the individual output probabilities
4. Xgboost algorithm
AI in Healthcare: Real-World Machine Learning Use CasesHealth Catalyst
Levi Thatcher, PhD, VP of Data Science at Health Catalyst will share practical AI use cases and distill the lessons into a framework you can use when evaluating AI healthcare projects. Specifically, Levi will answer these questions:
What are great healthcare business cases for AI/ML?
What kind of data do you need?
What tools / talent do you need?
How do you integrate AI/ML into the daily workflow?
P4 Medicine: A Vision For Your Molecular HealthSachin Rawat
Medicine is undergoing tremendous change. Unlike today, medicine of tomorrow would be pro-active rather than reactive.Medicine would be personalized to individual patient's genome. It would predict, and hence prevent, diseases even before they manifest. Also, this medicine would require active societal participation to bring it from labs to clinics.
Precision Medicine- Growth Opportunities for Genomics TechnologiesWilliam Baird
Made at the 4th Global Precision Medicine and Biomarkers Leaders Summit: Europe by Nitin Naik. For more information visit http://www.global-engage.com/wp-content/uploads/2017/04/Global-Precision-Medicine-Biomarkers-Europe-2017.pdf. Better understanding of disease heterogeneity and identification of novel targets will expand precision medicine applications beyond oncology and foster collaboration between pharmaceutical companies, diagnostic manufacturers, payers and providers to develop new products and services. In next three years, Clinical sequencing technologies and NGS informatics & services represent the largest growth potential. Other emerging technologies such
as liquid biopsy and point-of-care testing technologies will start to compete against established NGS space for precision diagnostics. This briefing will provide strategic insights into growth opportunities related to Genomics, Molecular Diagnostics, and Sequencing Technologies shaping the future of Global Precision Medicine industry. It will specifically highlight global & regional initiatives, game changing companies and disruptive technologies (big data, cloud, predictive analytics)
shaping new business models.
Artificial intelligence, such as neural networks, deep learning and predictive analytics, has the potential to transform radiology, by enhancing the productivity of radiologists and helping them to make better diagnoses. This short report from Signify Research presents 5 reasons why artificial intelligence will increasingly be used in radiology in the coming years and concludes with a list of the barriers that will first need to be overcome before mainstream adoption will occur.
Process development guidance for AAV and lentivirus manufacturing based on co...MilliporeSigma
Access the interactive recording here: https://bit.ly/37nl3Ex
Webinar summary:
An efficient production platform is essential for successful commercial implementation of gene therapy programs. AAV and Lentivirus manufacturing process are often developed with compressed timelines, reduced process optimization and low product yields which can have significant effect on costs.
In this webinar, you will learn:
* How manufacturing costs are examined for adeno-associated virus and lentivirus production with several different for each vector
* That key process characteristics like production titer, production of empty viral particles, downstream product recovery, and the batching strategy can effect the overall manufacturing cost
* How holistic evaluation is an important tool during process development to help prioritize different approaches to improve viral vector production processes
Abstract:
An efficient production platform is essential for successful commercial implementation of gene therapy programs. Viral vector manufacturing processes are often developed under timelines which are considerably shorter than those for more mature biopharmaceuticals. Consequently, the level of process optimization is reduced and challenges related to low product yields are common. These factors, as well as the small batch sizes common for these processes, can have significant effect on manufacturing costs.
AI in pharmacy: Revolutionizing HealthcareDarvan Shvan
Explore the revolutionary impact of AI in pharmacy on Skillshare! Dive into the synergy of technology and healthcare, discovering AI's role in drug discovery, personalized medicine, and telepharmacy. Uncover how predictive analytics enhances patient outcomes, while addressing ethical considerations and future trends.
AI and the Future of Healthcare, Siemens HealthineersLevi Shapiro
Presentation by Joanne Grau, Head of Digitalization Thought-Leadership at Siemens Healthineers, Oct 31, 2022, for mHealth Israel- "AI and the Future of Healthcare". Three sections- Workforce Productivity, Precision Therapy and Digital Twin.
Individual Project I-3
1. Title
Technology Innovation Project
2. Introduction
Background of the Corporation
Largo Corporation is a major multinational conglomerate corporation which specializes in a wide array of products and services. These products and services include healthcare, finance, retail, government services, and many more. The annual revenue is about $750 million and it has about 1,000 employees. The parent company is located in Largo, Maryland and its subsidiaries are headquartered throughout the United States.
The mission of the corporation is to bring the best products and services to people and businesses throughout the world so they can then realize their full potential.
The corporate vision guides every aspect of their business to achieve sustainable, quality growth:
Productivity: Be a highly effective, lean and fast-moving organization.
People: Be a great place to work where people are inspired to achieve their maximum potential.
Partners: Nurture a winning network of customers and suppliers, together we create mutual, enduring value.
Responsible: Be a responsible citizen that makes a difference through ethical behavior.
Revenue: Maximize long-term return while being mindful of our overall responsibilities.
The company’s culture is reflected in their corporate values:
Leadership: Courage to shape a better future.
Collaboration: Leverage collective intelligence.
Accountability: Own up to your responsibility.
Passion: Committed to excellence.
Diversity: Provide new perspectives into our business.
Quality: We will want quality as part of our brand.
The corporation consists of the parent company and the following subsidiaries:
Healthcare – Suburban Independent Clinic, Inc. (medical services)
Finance – Largo Capital (financial services)
Retail – Rustic Americana (arts and crafts), Super-Mart (office products)
Government Services – Government Security Consultants (information security)
Automotive – New Breed (electric cars)
Systems Integration –
Solution
s Delivery, Inc. (communications)
Media Design – Largo Media (website and app design)
The organization is headed by CEO Tara Johnson who completed her Master’s degree at UMUC and eager to make worthwhile improvements to the corporation. She rose through the ranks of Largo Corporation starting with systems integration, then retail and her last position before becoming CEO was in finance.
The corporation is in a highly competitive environment so the CEO wants savvy employees at many levels to make wise judgments and take an aggressive approach and deliver results towards improving the bottom line yet maintaining corporate social responsibility.
Corporate Issues
Ms. Johnson is very concerned about the outlook of her company. Revenues recently declined and she felt that the organization needed a transformation for the company to do well over the long term. In thumbing through some readings she was inspired when she uncovered the following:
We live in a business world acceler.
AI in Healthcare: Real-World Machine Learning Use CasesHealth Catalyst
Levi Thatcher, PhD, VP of Data Science at Health Catalyst will share practical AI use cases and distill the lessons into a framework you can use when evaluating AI healthcare projects. Specifically, Levi will answer these questions:
What are great healthcare business cases for AI/ML?
What kind of data do you need?
What tools / talent do you need?
How do you integrate AI/ML into the daily workflow?
P4 Medicine: A Vision For Your Molecular HealthSachin Rawat
Medicine is undergoing tremendous change. Unlike today, medicine of tomorrow would be pro-active rather than reactive.Medicine would be personalized to individual patient's genome. It would predict, and hence prevent, diseases even before they manifest. Also, this medicine would require active societal participation to bring it from labs to clinics.
Precision Medicine- Growth Opportunities for Genomics TechnologiesWilliam Baird
Made at the 4th Global Precision Medicine and Biomarkers Leaders Summit: Europe by Nitin Naik. For more information visit http://www.global-engage.com/wp-content/uploads/2017/04/Global-Precision-Medicine-Biomarkers-Europe-2017.pdf. Better understanding of disease heterogeneity and identification of novel targets will expand precision medicine applications beyond oncology and foster collaboration between pharmaceutical companies, diagnostic manufacturers, payers and providers to develop new products and services. In next three years, Clinical sequencing technologies and NGS informatics & services represent the largest growth potential. Other emerging technologies such
as liquid biopsy and point-of-care testing technologies will start to compete against established NGS space for precision diagnostics. This briefing will provide strategic insights into growth opportunities related to Genomics, Molecular Diagnostics, and Sequencing Technologies shaping the future of Global Precision Medicine industry. It will specifically highlight global & regional initiatives, game changing companies and disruptive technologies (big data, cloud, predictive analytics)
shaping new business models.
Artificial intelligence, such as neural networks, deep learning and predictive analytics, has the potential to transform radiology, by enhancing the productivity of radiologists and helping them to make better diagnoses. This short report from Signify Research presents 5 reasons why artificial intelligence will increasingly be used in radiology in the coming years and concludes with a list of the barriers that will first need to be overcome before mainstream adoption will occur.
Process development guidance for AAV and lentivirus manufacturing based on co...MilliporeSigma
Access the interactive recording here: https://bit.ly/37nl3Ex
Webinar summary:
An efficient production platform is essential for successful commercial implementation of gene therapy programs. AAV and Lentivirus manufacturing process are often developed with compressed timelines, reduced process optimization and low product yields which can have significant effect on costs.
In this webinar, you will learn:
* How manufacturing costs are examined for adeno-associated virus and lentivirus production with several different for each vector
* That key process characteristics like production titer, production of empty viral particles, downstream product recovery, and the batching strategy can effect the overall manufacturing cost
* How holistic evaluation is an important tool during process development to help prioritize different approaches to improve viral vector production processes
Abstract:
An efficient production platform is essential for successful commercial implementation of gene therapy programs. Viral vector manufacturing processes are often developed under timelines which are considerably shorter than those for more mature biopharmaceuticals. Consequently, the level of process optimization is reduced and challenges related to low product yields are common. These factors, as well as the small batch sizes common for these processes, can have significant effect on manufacturing costs.
AI in pharmacy: Revolutionizing HealthcareDarvan Shvan
Explore the revolutionary impact of AI in pharmacy on Skillshare! Dive into the synergy of technology and healthcare, discovering AI's role in drug discovery, personalized medicine, and telepharmacy. Uncover how predictive analytics enhances patient outcomes, while addressing ethical considerations and future trends.
AI and the Future of Healthcare, Siemens HealthineersLevi Shapiro
Presentation by Joanne Grau, Head of Digitalization Thought-Leadership at Siemens Healthineers, Oct 31, 2022, for mHealth Israel- "AI and the Future of Healthcare". Three sections- Workforce Productivity, Precision Therapy and Digital Twin.
Individual Project I-3
1. Title
Technology Innovation Project
2. Introduction
Background of the Corporation
Largo Corporation is a major multinational conglomerate corporation which specializes in a wide array of products and services. These products and services include healthcare, finance, retail, government services, and many more. The annual revenue is about $750 million and it has about 1,000 employees. The parent company is located in Largo, Maryland and its subsidiaries are headquartered throughout the United States.
The mission of the corporation is to bring the best products and services to people and businesses throughout the world so they can then realize their full potential.
The corporate vision guides every aspect of their business to achieve sustainable, quality growth:
Productivity: Be a highly effective, lean and fast-moving organization.
People: Be a great place to work where people are inspired to achieve their maximum potential.
Partners: Nurture a winning network of customers and suppliers, together we create mutual, enduring value.
Responsible: Be a responsible citizen that makes a difference through ethical behavior.
Revenue: Maximize long-term return while being mindful of our overall responsibilities.
The company’s culture is reflected in their corporate values:
Leadership: Courage to shape a better future.
Collaboration: Leverage collective intelligence.
Accountability: Own up to your responsibility.
Passion: Committed to excellence.
Diversity: Provide new perspectives into our business.
Quality: We will want quality as part of our brand.
The corporation consists of the parent company and the following subsidiaries:
Healthcare – Suburban Independent Clinic, Inc. (medical services)
Finance – Largo Capital (financial services)
Retail – Rustic Americana (arts and crafts), Super-Mart (office products)
Government Services – Government Security Consultants (information security)
Automotive – New Breed (electric cars)
Systems Integration –
Solution
s Delivery, Inc. (communications)
Media Design – Largo Media (website and app design)
The organization is headed by CEO Tara Johnson who completed her Master’s degree at UMUC and eager to make worthwhile improvements to the corporation. She rose through the ranks of Largo Corporation starting with systems integration, then retail and her last position before becoming CEO was in finance.
The corporation is in a highly competitive environment so the CEO wants savvy employees at many levels to make wise judgments and take an aggressive approach and deliver results towards improving the bottom line yet maintaining corporate social responsibility.
Corporate Issues
Ms. Johnson is very concerned about the outlook of her company. Revenues recently declined and she felt that the organization needed a transformation for the company to do well over the long term. In thumbing through some readings she was inspired when she uncovered the following:
We live in a business world acceler.
Unit VIII PowerPoint Presentation Review the processes of invent.docxmarilucorr
Unit VIII PowerPoint Presentation
Review the processes of invention and innovation. Then, select a new product that you have been introduced to in the past 12 months. You are encouraged to research this new product using outside sources. You can use the same company you have been researching, or pick a new one.
You are to create a PowerPoint presentation about future inventions this new product could help to inspire and what innovations could be developed to enhance and improve this product. Analyze how these two areas could impact the company. Perform an analysis or SWOT on potential impact of inventions or innovations. Your PowerPoint presentation should include the following elements:
Slide 1: Title page
Slide 2: Objective or table of contents
Slide 3: Description of the new product
Slide 4: Description of the importance of R&D to include lead users and market research
Slide 5: Discussion of appropriate structure and culture necessary to support innovative ideas and products
Slide 6: Exploration of future inventions inspired by the product
Slide 7: Analysis of future innovations of this product (Was this a successful invention leading to innovation?)
Slide 8: ROI, shareholder value, economic value added analysis, or a SWOT, on innovation
Slide 9: ROI, shareholder value, economic value added analysis or a SWOT, on invention
Slide 10: Brief description of the benchmarking process as applied to this company (What problems with performance measuring can be encountered?)
Slide 11: Prediction of product demand in five years
Slide 12: Conclusion
Slide 13: List of sources using APA guidelines
Please ensure that every slide has a title at the top explaining what the slide covers. Add citations in proper APA format, use applicable pictures or graphics, use a slide template, and avoid wordy slides by focusing on bullet points. Remember, this is an academic presentation.
Information about accessing the grading rubric for this assignment is provided below.
Scenario:
George Cosgrove is the Senior Vice President (SVP) for Quality
Control at All-in-One Pharmaceutical, Inc. (hereinafter referred to
as the Company), a multi-million-dollar medical supply
manufacturer and distributor with offices in several states.
George has been with the Company for 25 years in a variety of
positions but his current position, which he has held for the last 5
years, is by far his plum assignment and position with the
Company.
George oversees all testing of products, putting to good use his
advanced degree in supply chain management, with a
concentration in healthcare. He is known throughout the
Company, as the “go to” person on any of the Company’s
numerous products.
As SVP, George is one of the final Company officials to approve
the launch of any its products on the market.
One of the Company’s signature products is a device called
“Shot-o-Vac,” a revolutionary device depended upon by many
consumers ...
O'Reilly ebook: Machine Learning at Enterprise Scale | QuboleVasu S
Real-world data science practitioners offer perspectives and advice on six common Machine Learning problems
https://www.qubole.com/resources/ebooks/oreilly-ebook-machine-learning-at-enterprise-scale
Lab 9 In the browser, type the URL httpwww.bluelock.comblog.docxcroysierkathey
Lab 9
In the browser, type the URL http://www.bluelock.com/blog/rpo-rto-pto-and-raas-disaster-recovery-explained/ and press Enter to open the Web site.
7. Read the article titled “RPO, RTO, PTO and RaaS: Disaster recovery explained.”
8. In the browser type the URL http://www.computerweekly.com/feature/How-to-write-a-disaster-recovery-plan-and-define-disaster-recovery-strategies/ and press Enter to open the Web site.
9. Read the article regarding disaster recovery strategies.
10. Make a backup of any Lab Assessment Worksheets you may have completed from this lab manual. If this is the only lab you’ve worked on, then make a mock Lab Assessment Worksheet using the worksheet from this lab and back that one up instead.
11. Attach the file(s) to an e-mail to your personal e-mail address. You may need to send multiple e-mails depending on your e-mail’s size limitations.
Note: At this point, ask yourself questions from the perspective of recovering from a disaster: Would I be able to access this e-mail from an offsite computer? Where is the e-mail stored? If I were incapacitated, is someone else able to proceed without me? This is the mindset of someone crafting business continuity plans.
12. Verify receipt of the e-mail message(s), and then open and verify file integrity for each attachment.
13. In your Lab Report file, write the backup procedures and recovery procedures you used.
Note: Arguably, the most important section of any business continuity plan is the Procedures section. A business can plan disaster recovery scenarios extensively, carefully weighing all possible risk likelihood and impacts. However, without detailed procedures with which to execute the recovery, a business will not resume operations efficiently, if at all. And this is especially true in times of near-panic and extreme “executive oversight” immediately following a disaster. The key source for documenting accurate and helpful recovery procedures is testing.
14. In your Lab Report file, describe your personal procedures in terms of your RTO as
explained in Web sites visited earlier in this lab.
15. Test your backup and recovery procedures per your RTO.
16. In your Lab Report file, describe ways you can lower the RTO.
Lab 10
Review the Mock IT infrastructure for a health care IT infrastructure servicing patients with life-threatening conditions (see Figure 1).
Figure 1 Mock IT infrastructure
4. Identify and then document the security controls and security countermeasures you can implement throughout Figure 1 to help mitigate risk from unauthorized access and access to intellectual property or customer privacy data.
5. Review the steps for creating a CIRT plan as outlined in the following table:
Step - Description of Step
Preparation - What tools, applications, laptops, and communication devices are needed to address computer/security incident response for this specific breach?
Identification - When an incident is reported, it must be identified, classified, and document ...
Choose 3 to do, one page 1.5 space for each. Deadline is 18th 1 pm.docxjessiep6
Choose 3 to do, one page 1.5 space for each. Deadline is 18th 1 pm( Chicago Time zone)
First one:
Chapter 1: What are the major reasons why it is important for employees in all functional areas to become familiar with IT in Organizations? With the increased in reliance on IT in Organizations, how does the impact the skills and talents that employers are looking for in new employees.
Second:
Chapter 2
Describe four examples of how company(s) have gained a competitive advantage from their strategic use of Information Technology.
Third:
Chapter 3
List at least 3 forms of electronic surveillance that are threatening our privacy. How do these things impact our lives? How should we address these things?
Fourth:
Chapter 4
Identify and describe four techniques to protect an organization's technology security?
There is a reflection / discussion question for each of the chapters and technology guides in the course textbook. Five (5) of these reflection / discussion questions are required to be completed during the semester for a total of 50 points (10 points per question.) If you choose to complete more than 5 reflection questions, then the top five scores will be used for course grade calculation purposes. Responses should be provided directly in Compass and submitted on or before their due date. The intent of these questions is to enhance your learning of the textbook and lecture material. Students can expect similar questions and question types on exams. The length of reflection questions are typically one page in length (using 1.5 spacing.)
Introduction to
Information Systems
Supporting and Transforming Business
Sixth Edition
R. Kelly Rainer Jr.
Brad Prince
Vice President & Director George Hoffman
Executive Editor Lisé Johnson
Executive Marketing Manager Christopher DeJohn
Product Design Manager Allison Morris
Sponsoring Editor Jennifer Manias
Market
Solution
s Assistant Amanda Dallas
Senior Content Manager Dorothy Sinclair
Senior Production Editor Jane Lee
Design Director Harry Nolan
Senior Designer Wendy Lai
Senior Photo Editor Billy Ray
Production Management Services Thomson Digital
Front Cover Image A-Digit/Getty Images, Inc.
Back Cover Image Pedro Castellano/Getty Images, Inc.
This book was set in 9.5/11.5 Electra LT Std by Thomson Digital, and printed and bound by Donnelley/Von Hoffman.
The cover was printed by Donnelley/Von Hoffman. This book is printed on acid free paper.
Founded in 1807, John Wiley & Sons, Inc. has been a valued source of knowledge and understanding for more than 200 years,
helping people around the world meet their needs and fulfi ll their aspirations. Our company is built on a foundation of principles
that include responsibility to the communities we serve and where we live and work. In 2008, we launched a Corporate Citizenship
Initiative, a global effort to address the environmental, social, economic, and ethical challenges we face in our business. Among the
issues we are address.
A Case Study of Micro-Blogging for Learning at QualcommB.J. Schone
This presentation was given by B.J. Schone and John Polaschek at DevLearn 2009. It covers many aspects of micro-blogging in a corporate environment, and it includes a case study about Yammer at Qualcomm.
Discussion - Weeks 1–2COLLAPSETop of FormShared Practice—Rol.docxcuddietheresa
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 ...
Running head PROFESSIONAL INTERVIEW REPORT 1PROFESSIONAL INT.docxjeanettehully
Running head: PROFESSIONAL INTERVIEW REPORT 1
PROFESSIONAL INTERVIEW REPORT 4
Experience as a Computer Scientist
Opening Statement
For this report, the professional interviewed is a computer Engineer/ Web Developer who works for Omnivision Technologies Inc., a corporation that designs and develops advance digital technologies to use in mobile phones, notebooks, security cameras etc. across the United States. The interviewee is the technical manager of the organization and works at its headquarters in Santa Clara, California and has been working in this position for the last five years. This computer science expert provided very useful information about the computer science profession and highlighted a number of challenges common in the career. Further, he provided some recommendations on how the challenges can be dealt with. From the information provided by the interviewee, it is clear that the computer science profession is full of challenges particularly regarding the fast changing technology. The interview revealed several important topics which require further research.
Methodology
The interview was conducted on a skype video call and lasted for slightly above 30 minutes. Before the interview, the interviewee was contacted one hour in advance in order to avoid an ambush. He was also made to understand that the questions which were to be asked during the interview regards the profession, its concerns and challenges. The phone call was recorded during the entire conversation and the information later transcribed and key points extracted. This report is based only on important points and not everything that the interviewee said.
Essential Background
Computer science is a field of technology that deals with studying processes that interact with data and which can be depicted as data in program form. Skills in computer science enables one to manipulate, use, or communicate digital information using programing algorithms. An expert in computer science has knowledge in computation theory as well as the practice of software systems design. Computer scientists are also popularly known as computer and information scientists and can work in a range of environments. For instance, these professionals work in private software publishers, government agencies, academic institutions, and engineering firms (Page & Smart, 2013). Wherever they work, computer scientists’ general roles include solving computing problems as well as developing new products.
The professional interviewed for this report has in-depth knowledge in computer systems and management. Through his leadership skill, he organizes the successful delivery of effective and efficient technical solutions within the company. In particular, he is responsible for planning, designing, developing, production, and testing communication systems. He is also responsible for supervising technical and operations teams, landline and cellular network, IT infrastructure, and service platforms. He ...
Exploring new mobile and cloud platforms without a governance .docxssuser454af01
Exploring new mobile and cloud platforms without a governance strategy can
have consequences.
At the beginning of my IT career, I witnessed a number of decisions and project management practices which, at the
time, just didn't seem to make sense. But I was young, and I often thought to myself that the people involved must have
some other reasoning, some justification for their actions that I was just not privy to.
In short, I remained quiet when I should have spoken up. What two decades of experience has taught me is that there
is rarely reasoning or justification behind actions that, at a gut-level, are clearly bad IT practices. We inherently
recognize when common sense has taken a back seat.
There is most definitely a dark side to BYOD. For the most part, I am an advocate for the consumerization of IT (using
non-standard apps and tools as a way to increase end user engagement and productivity) and support the bring-your-
own-device model.
However, as a seasoned manager and IT operations leader, I recognize the risks that come with the model if
organizations do not properly plan out their strategies, putting sufficient protections and governance practices in place
to manage the potential risks that could come from these unsupported devices and applications. End users often want
what’s NEW, but there are valid reasons for imposing and enforcing safeguards when giving mobile business users
access to your otherwise secure, scalable, and compliant systems.
Some people equate governance with bureaucracy and hierarchical systems, but those perceptions often come from a
lack of appreciation for the potential risks involved. Governance is about checks and balances -- supporting the tools
and systems your end users want, but in a way that is manageable and which follows defined protocols.
Examples of rogue IT practices
A (http://harmon.ie/blog/new-survey-reveals-mobile-rogue-it-costing-us-organizations-almost-2b)recent uSamp survey
(http://harmon.ie/blog/new-survey-reveals-mobile-rogue-it-costing-us-organizations-almost-2b) found that 41% of US mobile business
users have used unsanctioned services to share or sync files, despite 87% saying they are aware that their company
has a document sharing policy that prohibits this practice. And, 27% of mobile business users who “went rogue”,
reported immediate and direct repercussions, from lost business to expensive lawsuits and financial penalties that cost
$2 billion.
While most IT professionals understand these risks viscerally, some business users need to crash and burn before
they are willing to adjust their risky behaviors, which is not a message your employer wants to hear. Luckily, there is
another way: learning from the mistakes of others. This month, I am one of six mobile security and IT experts judging a
(http://www.rogueitstories.com/)"Rogue IT" contest (http://www.rogueitstories.com/). We’re collecting anonymous stories from the
community ...
THIS IS THE FEEDBACK I RECEEIVED. Only one patient responded to my.docxkbrenda
THIS IS THE FEEDBACK I RECEEIVED. Only one patient responded to my post. Hope this helps
Ryan,
Inadequate levels of nursing professionals were first discussed more than 80 years ago (Whelan, n.d.). Recently, scholars have opined many reasons for the shortage of nurses. Factors such as work stress, burnout, violence against healthcare professionals, a lack of qualified nursing instructors, and nurses unable to adapt to changing technology or clinical environments have been addressed (Haddad & Toney-Butler, 2019). As many nurses may attest, doing more with less can lead to mistakes and dissatisfaction with a nursing career. Ultimately, patient care suffers.
Organizations employ various tactics to help strengthen nurse retention. Halter et al. (2017) suggest strong nursing leadership and assigning preceptors to new nurses can help minimize nursing resignation rates. At the writer’s employment, hospital administrators use several ways to retain nurses. Each quarter, a nurse is recognized for outstanding achievement by receiving a certificate, gift card, and editorial mention on the hospital’s intranet. Moreover, the hospital caters lunch for all employees, dayside and nighttime staff, twice a year for meeting quality targets. Also, the hospital uses various national celebration days such as ice cream, donuts, coffee, bagels, and candy to reward all employees. Creating a level of goodwill and institutional collaboration can help retain nurses and improve job satisfaction (Kurnat-Thoma et al., 2017).
Reference
Haddad, L.M., & Toney-Butler, T.J. (2019). Nursing shortage. StatPearls Publishing.
Halter, M., Pelone, F., Boiko, O., Beighton, C., Harris, R., Gale, J., Gourlay, S., & Drennan, V. (2017). Interventions to reduce adult nursing turnover: A systematic review of systematic reviews. The Open Nursing Journal, 11, 108-123. https://doi.org/10.2174/1874434601711010108
Kurnat-Thoma, E., Ganger, M., Peterson, K., & Channell, L. (2017). Reducing annual hospital and registered nurse staff turnover: A 10-element onboarding program intervention. SAGE Open Nursing, 3. https://doi.org/10.1177/2377960817697712
Whelan, J.C. (n.d.). Where did all the nurses go? Retrieved from https://www.nursing.upenn.edu/nhhc/workforce-issues/where-did-all-the-nurses-go/
Technology Innovation Project
(Provide an abstract, introduction, table of contents and conclusion in this one document.)
1. Title
Technology Innovation Project
2. Introduction
Background of the Corporation
Largo Corporation is a major multinational conglomerate corporation which specializes in a wide array of products and services. These products and services include healthcare, finance, retail, government services, and many more. The annual revenue is about $750 million and it has about 1,000 employees. The parent company is located in Largo, Maryland and its subsidiaries are headquartered throughout the United States.
The mission of the corporation is to bring the best products and services to .
Similar to Artificial Intelligence - Implications for Business Strategy 2017-11-20. MIT- Sloan & CSAIL (20)
Oprah Winfrey: A Leader in Media, Philanthropy, and Empowerment | CIO Women M...CIOWomenMagazine
This person is none other than Oprah Winfrey, a highly influential figure whose impact extends beyond television. This article will delve into the remarkable life and lasting legacy of Oprah. Her story serves as a reminder of the importance of perseverance, compassion, and firm determination.
Artificial intelligence (AI) offers new opportunities to radically reinvent the way we do business. This study explores how CEOs and top decision makers around the world are responding to the transformative potential of AI.
The Team Member and Guest Experience - Lead and Take Care of your restaurant team. They are the people closest to and delivering Hospitality to your paying Guests!
Make the call, and we can assist you.
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Foodservice Consulting + Design
The case study discusses the potential of drone delivery and the challenges that need to be addressed before it becomes widespread.
Key takeaways:
Drone delivery is in its early stages: Amazon's trial in the UK demonstrates the potential for faster deliveries, but it's still limited by regulations and technology.
Regulations are a major hurdle: Safety concerns around drone collisions with airplanes and people have led to restrictions on flight height and location.
Other challenges exist: Who will use drone delivery the most? Is it cost-effective compared to traditional delivery trucks?
Discussion questions:
Managerial challenges: Integrating drones requires planning for new infrastructure, training staff, and navigating regulations. There are also marketing and recruitment considerations specific to this technology.
External forces vary by country: Regulations, consumer acceptance, and infrastructure all differ between countries.
Demographics matter: Younger generations might be more receptive to drone delivery, while older populations might have concerns.
Stakeholders for Amazon: Customers, regulators, aviation authorities, and competitors are all stakeholders. Regulators likely hold the greatest influence as they determine the feasibility of drone delivery.
Senior Project and Engineering Leader Jim Smith.pdfJim Smith
I am a Project and Engineering Leader with extensive experience as a Business Operations Leader, Technical Project Manager, Engineering Manager and Operations Experience for Domestic and International companies such as Electrolux, Carrier, and Deutz. I have developed new products using Stage Gate development/MS Project/JIRA, for the pro-duction of Medical Equipment, Large Commercial Refrigeration Systems, Appliances, HVAC, and Diesel engines.
My experience includes:
Managed customized engineered refrigeration system projects with high voltage power panels from quote to ship, coordinating actions between electrical engineering, mechanical design and application engineering, purchasing, production, test, quality assurance and field installation. Managed projects $25k to $1M per project; 4-8 per month. (Hussmann refrigeration)
Successfully developed the $15-20M yearly corporate capital strategy for manufacturing, with the Executive Team and key stakeholders. Created project scope and specifications, business case, ROI, managed project plans with key personnel for nine consumer product manufacturing and distribution sites; to support the company’s strategic sales plan.
Over 15 years of experience managing and developing cost improvement projects with key Stakeholders, site Manufacturing Engineers, Mechanical Engineers, Maintenance, and facility support personnel to optimize pro-duction operations, safety, EHS, and new product development. (BioLab, Deutz, Caire)
Experience working as a Technical Manager developing new products with chemical engineers and packaging engineers to enhance and reduce the cost of retail products. I have led the activities of multiple engineering groups with diverse backgrounds.
Great experience managing the product development of products which utilize complex electrical controls, high voltage power panels, product testing, and commissioning.
Created project scope, business case, ROI for multiple capital projects to support electrotechnical assembly and CPG goods. Identified project cost, risk, success criteria, and performed equipment qualifications. (Carrier, Electrolux, Biolab, Price, Hussmann)
Created detailed projects plans using MS Project, Gant charts in excel, and updated new product development in Jira for stakeholders and project team members including critical path.
Great knowledge of ISO9001, NFPA, OSHA regulations.
User level knowledge of MRP/SAP, MS Project, Powerpoint, Visio, Mastercontrol, JIRA, Power BI and Tableau.
I appreciate your consideration, and look forward to discussing this role with you, and how I can lead your company’s growth and profitability. I can be contacted via LinkedIn via phone or E Mail.
Jim Smith
678-993-7195
jimsmith30024@gmail.com
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Learning outcomes:
LO3: Propose an initiative for a specific business application of AI.
LO4: Produce a roadmap for an organization to gain strategic advantage using AI.
Name: Winston Dodson M6 U2 Assignment
Instructions and guidelines (Read carefully)
Instructions
1. Insert your name and surname in the space provided above, as well as in the file
name. Save the file as: First name Surname M6 U2 Assignment – e.g., Zadie
Smith M6 U2 Assignment. NB: Please ensure that you use the name that appears
in your participant profile on the Online Campus.
2. Write all your answers in this document. There is an instruction that says, “Start
writing here” under each question. Please type your answer there.
3. Submit your assignment in Microsoft Word only. No other file types will be
accepted.
4. Do not delete the plagiarism declaration or the assignment instructions and
guidelines. They must remain in your assignment when you submit.
PLEASE NOTE: Plagiarism cases will be investigated in line with the terms and
conditions for participants.
IMPORTANT NOTICE: Please ensure that you have checked the Online Campus
for the due date for this assignment.
Guidelines
1. There are 4 pages and 1 question in this assignment.
2. Make sure that you have carefully read and fully understood the questions before
answering them. Answer the questions fully but concisely and as directly as
possible. Follow all specific instructions for individual questions (e.g., “list,” “in
point form”).
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3. Answer all questions in your own words. Do not copy any text from the
casebook, readings or other sources. The assignment must be your own work
only.
Plagiarism declaration:
1. I know that plagiarism is wrong. Plagiarism is to use another’s work and
pretend that it is one’s own.
2. This assignment is my own work.
3. I have not allowed, and will not allow, anyone to copy my work with the
intention of passing it off as his or her own work.
4. I acknowledge that copying someone else’s assignment (or part of it) is
wrong, and declare that my assignments are my own work.
For each assignment submission included in Modules 1 to 5 of this program, you were
asked to complete activities that should now help you complete a final, polished AI
roadmap. The roadmap will function as a starting point for the successful deployment
of AI into an organization of your choice, with the aim of achieving competitive
advantage.
For this final assignment, use your answers from previous modules as a guide to
populate the roadmap template below. You should be using the organization that
formed the basis of your ongoing project submissions from Modules 1 to 5 to fill in
your roadmap. Please ensure that you consult the assignment guide in Unit 2 of this
module for details on the specific content required for each section. Furthermore, you
can use the feedback you have received in previous modules to refine your answers
here.
Please adhere to the word limit for each section.
Review guidelines:
Your assignment will be reviewed according to each individual section of the
roadmap, and the structure and logic of your writing. View the detailed rubric on the
Online Campus.
Question 1
Complete the four sections of the following roadmap template.
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Executive summary
Summarize your plan for the strategic implementation of AI into your chosen
organization. (Max. 500 words.)
Start writing here:
Mixing two clichés - “Change happens!”. Our challenge in business, as in life, is to not
only to meet these challenges but to take advantage of them while benefitting
ourselves, our associates and our societies. The fast-moving development of Artificial
Intelligence (AI) is a significant change and we may be living through an inflection point
caused by these developments. In order to understand how we meet these many
challenges must first understand AI.
A definition of AI is “intelligence displayed by machines, in contrast with the natural
intelligence (NI) displayed by humans and other animals.”
(https://en.wikipedia.org/wiki/Artificial_intelligence ). An organization that adopts and
uses AI would have AI accomplish the tasks that it can do better while utilizing people
to continue to accomplish critical tasks fit for them. AI is generally broken down into
three subfields:
Machine Learning (ML), Natural Language Processing and Robotics. Machine
Learning is “a field of computer science that gives computers the ability
to learn without being explicitly programmed”(
https://en.wikipedia.org/wiki/Machine_learning )Using algorithms and the power
of modern computational abilities these techniques can use the statics of
common data to make decisions.
Natural Language Processing “is a field of computer science, artificial
intelligence …... concerned with programming computers to fruitfully process
large natural language data.” (https://en.wikipedia.org/wiki/Natural-
language_processing ). This enables people to powerfully access large
sources of data, in almost the same way that those people speak with each
other, to research large sources of data and find answers that they could not
get before.
Robotics are “technologies …… used to develop machines that can substitute
for humans and replicate human actions.”
(https://en.wikipedia.org/wiki/Robotics ). The proper use of robotics can free up
human productivity to achieve tasks more readily achievable only by humans.
Another concept that we will need in our transition will be the O-ring principle. The O-
ring principle is a concept developed for economics used to describe how, in an
economic system, the total value created is related to the value of each
subcomponent. The name “O-ring” come from the 1986 Challenger disaster where the
disaster was found to be caused by the failure of a simple, yet important, simple
component. Thus, as sub-components, humans are O-rings, important part of an
organization but our role is defined by what value we bring.
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The O-ring principle is used to define human’s role within an organization where many
of the tasks that were previously performed by humans, and our natural intelligence, in
a new organization where tasks are now or are planned to be, performed by AI. In
effect, what value do we bring to the organization when other tasks are performed by
AI?
The following is a presentation using a case study, and applying the concepts above,
the current state of that organization will be described. Then the organizations future
state after an AI initiative. Finally, we will then propose an Action Plan needed to
implement that AI initiative in the case study. In each case we cover the entire
organization from three perspectives; people process and technology.
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Current state
Describe the current state of your chosen organization. (Max. 500 words.)
Start writing here:
The organization is one of the major production sites for a large pharmaceutical
company with yearly sales of ~ $1B. The treatment is one of the pioneering “silver
bullets” of the biologics revolution. Despite numerous attempts by competitors it
remains one of the only effective treatment for a deadly inherited disease. A few
years before I joined the product was found to be contaminated. A series of FDA
inspections found numerous systemic problems from production, personnel training
and processes to facilities. A major crisis ensued. Any disruption in the supply of
the treatments would have dire consequences for patients. Production was allowed
to continue while a plan was developed. Doing this is like changing the tires on a
moving automobile.
The plan that was eventually agreed upon was enforced by a consent decree with
the federal government and it would allow continued production of the treatment
under the close onsite supervision of an external 3rd
party. The entire plan would
require extensive new processes, employee training and production site remediation
and would cost the pharmaceutical corporation hundreds of millions of dollars. This
was all in accordance with a Consent Decree signed between the company and a US
Federal Judge and enforced by threat of legal actions.
The external 3rd
party onsite supervision would generate many times the number of
process and product deviations associated with a site this size. A less formal system
of findings generated by the 3rd
party would also generate a significant number of
issues that had to be addressed. Because of the nature of the situation many of these
deviations and findings were also very complex. All of this activity departments
organic to the site that were 3-4 times the size of industry standard benchmarks.
All of these deviations and findings were captured and addressed in industry
standard, benchmarked IT systems and the process and personnel used were
similarly industry standard benchmarks as required by the FDA.
A summary of the current state is:
• Operations required OVER-Inspection
• Progress required the demonstration of Process Capability
This expensive and time consuming brute force process is working. The treatments
have always been available to patients and the site has shown that it is capable of
compliant production with much less onsite, eternal 3rd
party supervision.
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The Pharmaceutical / Biologics / Medical Device is one of the most regulated
markets in the world. The FDA has an extensive set of regulations based on Current
Good Manufacturing Practices. So even compliantly conducting business in such an
environment is expensive. The effort and thus costs are proportional to:
• the longevity of the market (how long have all similar treatments been
available) – new treatments require more monitoring
• the number of competitors – fewer competitors requires more monitoring
• complexity / novelty – both require more monitoring
• complexity of production process – more complex requires more
monitoring.
Compliant operations require expensive compliance processes depending on the
organization’s position in the market. The costs of compliance are table stakes the
organization has to play to be in the game.
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Proposed initiative
Outline your proposed initiative for using AI in your chosen organization to achieve
competitive advantage. (Max. 800 words.)
Start writing here:
Biologics production must focus on compliance. The result is that this imperative
reduces those organizations ability to compete on Porter’s other generic strategies,
cost leadership or differentiation. So, complying with regulations in the industry are
like “table stakes” for all participants so this Focus must be accomplished as
efficiently as possible. Competitors surely won’t stop trying to do so, so adopting
AI will not only become a virtue, temporarily but like an arms race, become a
requirement to survive the threats from others in the industry. An intelligent
organization built on machine learning would turn a “vice into a virtue” and move
from focusing on compliance to Porter’s cost leadership or differentiation.
This intelligent organization will operate with a set of interlocking ML
methodologies, coordinated by a neural net and linked together by a Blockchain –
the sum will be greater than the parts. A Blockchain enables remote auditing and
the accumulation of knowledge.
The Blockchain used to document these activities will be accessible by the
appropriate regulatory agencies, enabling remote auditing by the regulatory
agencies’ machine learning algorithms eliminating most on-site inspections.
An organization transformed using well established program, project and change
management techniques and integrating AI will be an intelligent organization
capable of practicing collective intelligence. The roles of the people will require
Social Intelligence along with the new skills needed to leverage their new AI tools.
These AI tools will create an experience database that will enable the entire
organization to build tools to leverage past experience. This organization will be
more productive, profitable and prepared to respond to market challenges by
shifting among, as appropriate, Porters three generic corporate strategies.
The paragraphs below describes the projects in the Strategy Deployment Matrix.
Biologicals production - processes requiring human actions are frequently required
by FDA to be Validated (operator) or Witnessed (another operator). Current state,
signatures on documents or via electronic signatures in IT systems.
Quality Assurance – a highly regulated environment i.e. FDA, requires frequent
review of controlled documentation. Natural language interfaces, both text and
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speech, to query these documents would both speed up as well as ensure
comprehensive access to that information.
Production Scheduling – currently accomplished utilizing Enterprise Resources
Planning (ERP) technologies. Neural Nets (Google’s Alpha Go, IBM’s Watson),
would be used instead. Using current standards, these Neural Nets would first try
every scheduling combination possible, then combine these with past experiences
with scheduling decisions. Finally, optimized with real-time reinforced learning.
Training / Human Resources – Use pattern recognition to detect trends in deviations
and delays in production. Combine this analysis with Validation/Witness data from
production and documentation access data from Quality Assurance to determine
root causes of deviations and production delays due to gaps in the training of
current staff.
Input Supply Logistics – biologics production is critically dependent on supply.
Currently supplies are stored locally, many in expensive cold-chain warehouses.
Self-driving / robot transportation an economical form of just-in-time delivery of
time critical components. This will eliminate most of the costs and risks to onsite
storage of critical supplies.
Biologics Production– occurs in aseptic conditions (clean rooms) that require
elaborate gowning and cleaning procedures for operators entering the production
areas. All supplies also require humans to transport them into the production areas.
Supply Robots like Kiva’s and Sadiki’s could perform many of the supply tasks
now accomplished by humans.
Quality Control – like production operators, QC technicians need frequent access to
the aseptic production floor to take samples and transport them from the floor to the
QC lab. The transport robots described above could take the samples taken by the
production operators directly to the QC technicians in their labs.
Facilities and engineering – like production operators and QC technicians facilities
and engineering need frequent access to the production floor. And due to space
limitations often can’t take all the parts needed. So, also as described above, a
transport robot could bring them the parts required on a just-in-time basis.
Input Supply Logistics – biologics production is critically dependent on supply.
Currently supplies are stored locally, many in expensive cold-chain warehouses.
Self-driving / robot transportation is an economical form of just-in-time delivery of
time critical components. This will eliminate most of the costs and risks to onsite
storage of critical supplies.
Biologics Production– occurs in aseptic conditions (clean rooms) that require
elaborate gowning and cleaning procedures for operators entering the production
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areas. All supplies also require humans to transport them into the production areas.
Supply Robots like Kiva’s and Sadiki’s could perform many of the supply tasks
now accomplished by humans.
Output logistics – one facility’s output logistics is another’s inputs. Finished
product (medical treatments) many times must be transported for filling and
packaging etc. Special transports (cold-chain) are required so valuable finished
product is expensively stored onsite. Once again, self-driving robot transportation
could provide frequent outbound transport eliminating local cold-chain storage
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Plan of action and criteria for success
Detail your plan of action for using AI in your chosen organization. (Max. 800 words.)
Start writing here:
Change Management is commonly divided into 3 areas; people, process and
technology. People are grouped into leadership and process participants. Process
involves the change process itself and then the various operational processes, they
are; production, quality assurance, production scheduling, training / human
resources, quality control and medical affairs. Technology is machine learning with
its many subsets as applied specifically to each of the operational processes listed
above.
The Strategy Deployment Matrix that the IC will use is included below. It includes:
• Generic Corp Strategies
• Business Level Metrics & Goals – with time
• Operational Level Metrics and Goal
• Departments / Functions / Processes
• Projects / Initiatives
• Roles and Responsibilities
• Artificial Intelligence Categories
• Implementation Schedule
• The interaction between each section above, when appropriate
The 2 groups of people are leadership implementation committee (IC) and then
process leaders (PL). The IC will implement the change and so will approve the
plan, manage the resources and mitigate risks. The PL’s will work with the IC and
will lead and execute the changes. They will also train and recruit process
participants (PP). Participants will learn then execute the post change process.
The change process ends at successful implementation. PL’s lead changes to each
of their respective processes and will design their individual process while working
with other PL’s and the IC to ensure that all the processes support each other and
their requirements. Also, they develop the specifications needed for the technology
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implementation. Each process may require a unique ML methodology to support
the overall goal.
These initiatives could be considered an augmentation of current business and IT
strategies by using ML to enable compliant operations. It will require additional
and new IT resources. Training for process participants new recruits would fill
training and experience gaps.
The CIO leads the technology implementation utilizing the IC, must understand the
various ML mythologies and must ensure that the skills needed by PL’s /
participants to work in the post implementation environment are in place. Through
the IC the CIO must also provide any surge resources needed during the
implementation as well as training PL’s to lead and manage in the new intelligent
organization.
Each process will be responsible for writing the specifications for their process to
include use cases, descriptions of data sources and to document how the various
Many of the technical requirements would be dictated by FDA requirements to
demonstrate process capability. An example would be self-driving robot transports
to be able to maintain cold-chain conditions. Another would be that robots
transporting product onto the production floor to be able to be automatically
cleaned to a clean room standard. The CIO, production and supply chain would
lead the technical changes required for just-in-time supply. The CIO the wireless
communication standards and the data structure required to support the various IT
production systems. The leaders of production and supply chain would develop the
timing standards governing what just-in-time means.
(The Strategy Deployment Matrix is on the last page below. Exporting all the text to MS
Word yields a count of 318).