https://ebookmass.com/product/the-ai-revolution-in-projectmanagement-elevating-productivity-with-generative-ai-1stedition-kanabar/
Instant digital products (PDF, ePub, MOBI) ready for you
Download now and discover formats that fit your needs...
Creative Prototyping with Generative AI: Augmenting Creative Workflows with Generative AI (Design Thinking) 1st Edition Patrick Parra Pennefather
https://ebookmass.com/product/creative-prototyping-with-generative-aiaugmenting-creative-workflows-with-generative-ai-design-thinking-1stedition-patrick-parra-pennefather/ ebookmass.com
Generative AI: How ChatGPT and Other AI Tools Will Revolutionize Business 1st Edition Tom Taulli
https://ebookmass.com/product/generative-ai-how-chatgpt-and-other-aitools-will-revolutionize-business-1st-edition-tom-taulli/
ebookmass.com
Interfaceless: Conscious Design for Spatial Computing with Generative AI (Design Thinking) 1st Edition Diana Olynick
https://ebookmass.com/product/interfaceless-conscious-design-forspatial-computing-with-generative-ai-design-thinking-1st-editiondiana-olynick/ ebookmass.com
The Tallest Tower (Underbelly Enchanted) Emilia Finn
https://ebookmass.com/product/the-tallest-tower-underbelly-enchantedemilia-finn/
ebookmass.com
Fisiologia umana. Un approccio integrato 7th Edition Dee U. Silverthorn
https://ebookmass.com/product/fisiologia-umana-un-approcciointegrato-7th-edition-dee-u-silverthorn/
ebookmass.com
Structured Analytic Techniques for Intelligence Analysis
https://ebookmass.com/product/structured-analytic-techniques-forintelligence-analysis/
ebookmass.com
Reading the Dream: A Post-Secular History of Enmindment
Peter Dale Scott
https://ebookmass.com/product/reading-the-dream-a-post-secularhistory-of-enmindment-peter-dale-scott/
ebookmass.com
ISE Financial Institutions Management: A Risk Management Approach 10th Edition Anthony Saunders Professor
https://ebookmass.com/product/ise-financial-institutions-management-arisk-management-approach-10th-edition-anthony-saunders-professor/
ebookmass.com
Lehninger Principles of Biochemistry 7th Edition eBook
https://ebookmass.com/product/lehninger-principles-ofbiochemistry-7th-edition-ebook/
ebookmass.com
https://ebookmass.com/product/checkerboard-hill-jade-kake/
ebookmass.com
Contents at a Glance
Dedication
Preface
Introduction
Deļ¬nitionofAI andProject Management
The Importance ofAI inProject Management
Overview ofthe Book
1. Dawnofa New Era
2. Stakeholders andGenerative AI
3. BuildingandManagingTeams UsingAI
4. Choosinga Development ApproachwithAI
5. AI-AssistedPlanningfor Predictive Projects
6. Adaptive Projects andAI
7. MonitoringProject Work Performance withAI
8. The Role ofAI inRisk Management
9. FinalizingProjects withAI
10. AI Tools for Project Management
11. LookingAhead
Contents
Dedication
Preface
Introduction
Deļ¬nitionofAI andProject Management
The Importance ofAI inProject Management
Overview ofthe Book
1. Dawnofa New Era
Not Robots
AI andBrookās Law
Artiļ¬cialIntelligence
ChatGPT
Prompt Engineering
EthicalConsiderations andProfessionalResponsibility
Key Points to Remember
TechnicalGuide
2. Stakeholders andGenerative AI
IdentifyingProject Stakeholders
The Impact ofAI onStakeholder Expectations
Stakeholder Analysis withAI
EngagingStakeholders ThroughAI-Driven
Communication
AI as a Stakeholder for Project Management?
EthicalConsiderations andProfessional
Responsibilities
Key Points to Remember TechnicalGuide
3. BuildingandManagingTeams UsingAI
AI-AssistedRecruitment andSelection
AI-DrivenTeamOnboarding,Training,and Development
EnhancingLeadershipwithAI
UsingAI Tools to Enhance TeamCollaboration
AI inConļ¬ict ResolutionandDecision-Making
EthicalConsiderations andProfessionalResponsibility
Key Points to Remember TechnicalGuide
4. Choosinga Development ApproachwithAI
UnderstandingPredictive,Adaptive,andHybridLife Cycle Approaches
UsingAI to Select the Right Development Approachfor Projects
TailoringYour ApproachwithAI
EthicalConsiderations andProfessionalResponsibility
Key Points to Remember TechnicalGuide
5. AI-AssistedPlanningfor Predictive Projects
AI-AssistedProject Initiation
AI-AssistedPlanning
TechnicalGuide
AI-AssistedProject Scope Deļ¬nition
AI inWBSCreation
Creatinga Schedule fromthe WBSusingAI
AI-EnhancedCost EstimationandBudgeting
EthicalConsiderations andProfessionalResponsibility
Key Points to Remember
TechnicalGuide
6. Adaptive Projects andAI
Adaptive Projects
ScrumPrompts
Agile Estimation
Project Execution
Project Measurement andTracking
EthicalConsiderations andProfessionalResponsibility
Key Points to Remember
TechnicalGuide
7. MonitoringProject Work Performance withAI
Direct andManage Project Work
Quality Management withAI
AI inMonitoringandControllingProject Work
ValidatingandControllingScope,Schedule,andCost withAI
EthicalConsiderations andProfessionalResponsibility
Key Points to Remember
TechnicalGuide
8. The Role ofAI inRisk Management
Risk Identiļ¬cationwithAI: UnderstandingThreats and Opportunities
EnhancingTraditionalRisk Identiļ¬cationMethods with AI
Qualitative Risk Analysis andAI
Quantitative Risk Analysis andAI
AI inRisk Responses
AI inRisk Monitoring
Ethics andProfessionalResponsibility
Key Points to Remember
TechnicalGuide
9. FinalizingProjects withAI
ReleasingProducts andServices
VerifyingandValidatingProject Deliverables and Usability TestingwithAI
Deployment withKnowledge fromAI
Project Closure
Value Delivery
Ethics andProfessionalResponsibility
Key Points to Remember
TechnicalGuide
10. AI Tools for Project Management
Value andImplications ofAI IntegratedTools for
Project Managers
Factors to Consider WhenEvaluatingAI Tools
Project Management Systems
SchedulingTools
CommunicationandMeetingTools
Productivity andDocumentationTools
CollaborationandBrainstormingTools
Ethics andProfessionalResponsibility
Key Points to Remember
TechnicalGuide
11. LookingAhead
Embrace ofAI Is a Boonto Project Management
The AI-PoweredFuture inEnterprises
Risks FromAI
Introduce AI Solutions Only to Address a Need
ClosingRemarks
1. Dawn of a New Era
Inthe comingyears projects willbe planned,executed,and managedlike never before. Generative artiļ¬cialintelligence (AI) excels at content creation,andit willoļ¬er project managers advancedcapabilities like quickly buildinga project planbasedonsimulatedscenarios,rescheduling easily,predictingrisks,andprovidingrapidreal-time solutions to issues.
Modernproject management beganto take root inthe early 1960s,whenindustrialandbusiness organizations beganto value the beneļ¬ts oforganizingwork aroundprojects. Ambitious projects fromNASA,suchas sendinghuman explorers 250,000 miles to the moon,requiredeļ¬ective project management. Globally across industries, organizations beganto embrace andimplement systematic project management tools andtechniques to ensure success andeļ¬iciency. This periodsaw the establishment of standards andbest practices,encapsulatedby formal educationandcredentials inproject management from dedicatedproject management organizations. Global collaboration,professionaldevelopment,andacademic researchledto the advent oftechnologicaltools and
techniques,allofwhichcollectively positionedproject management as a distinct andnecessary discipline crucialfor the eļ¬icient executionandsuccess ofcomplex projects inthe modernera.
IntegratingAI into the realmofproject management signals a transformative shift andthe dawnofa new era for project management. AI tools willhelpoptimize resource use, anticipate project bottlenecks,andautomate mundane tasks. This enables project managers to concentrate ondevising strategies,deliveringvalue,andmanagingstakeholders and their concerns.
Not Robots
Many ofus grew upina worldwhere AI was the stuļ¬ of science ļ¬ctionexperiencedonthe movie screen. It was possibly a humanlike robot that was novel,fun,and fascinatingandthat impressedus withits capabilities. These characters captivatedour imagination,makingus wonder about a worldwhere machines might think andact like us someday. However,these robots never actually came to work anddidnot helpus to planandorganize projects or enhance our productivity.
More recently,interactive technology,suchas Siri,Alexa, andrelatedimpressive voice or chat assistants,intriguedus withthe possibilities that AI technology couldbringto the table. There is a certainawe or magic inaskinga question out loudandreceivinga relevant answer froma nonhuman entity. These interactions felt novelandwere very useful what is the weather today? What is my commute time to work today? What is onmy calendar today? Due to integrationwithdata analytics,these AI assistants could provide somethingrealandpractical.
But while these AI assistants introducedus to communication withdevices andtraditionalchatbots,the experience was missinganin-depth,persistent,andcontinuous āhumanlikeā interactionwithanentity we couldrecognize as a peer,ifnot a true expert.
EntergenerativeAIāandcontextuallanguage models based onanarchitecture that generates perfect human-like text.
Generative Artiļ¬cialIntelligence Tools
These tools use computer algorithms to create new text content inresponse to a prompt. Many types ofgenerative AI products are emerging
that cancreate other types ofcontent,suchas audio,programmingcode,images,andvideos. For the remainingchapters ofthis book,this is what we meanby AI.
Designedto converse withhumans innaturallanguage,the outcome fromAI products suchas ChatGPTTM is coherent andengaging. ChatGPT is anexpert onvarious subjects, capable ofunderstandingandgeneratinghumanlike text basedonthe prompts it receives. It cananswer questions, assist invarious tasks,andmaintainnaturalconversation across topics rangingfrommedicine to project management. Suchtools are always available,very fast inresponse time, andappear eager to help.
Tools like ChatGPT represent anevolutioninconversational AI. They are designedto understandcontext very well,assist withtasks,or engage inconversations as ifyouwere genuinely talkingwithanother humanbeing. The experience oftalkingwithsuchtools is distinct. Itās as thoughyouāre chattingwitha true expert who knows all.
Anote ofcaution. Like the warningoncigarette boxes,every conversationwithChatGPT must start or endwitha warning saying,āHey,I amnot a realhuman.ā ReidHoļ¬manās book
Impromptu,whichuncovers his conversations inthe latest versionofChatGPT,GPT-4āis worthquotingwithinthis context:
Ihopethatyou,asareader,willkeepthefactthatGPT-4is notaconsciousbeingatthefrontofyourownwondrously humanmind.Inmyopinion,thisawarenessiskeyto understandinghow,when,andwheretouseGPT-4most productivelyandmostresponsibly.
1 Hoļ¬man,R. (2023). Impromptu:AmplifyingOur HumanityThroughAI. Dallepedia LLC.
Aquick note oncomparisonwithtraditionalchatbots,which many ofus might have experiencedas customer service assistants. These oftenfelt robotic andoverly scripted. In many cases,suchchatbots cannot answer our questions and frustrate us. Incontrast,generative AI tools are adaptable andpossess vast knowledge andcapabilities beyondwhat a conventionalchatbot is designedto handle. This results ina more humanlike conversationexperience,reducinguser frustrationandoļ¬eringmore accurate andnuanced answers.
The impact ofChatGPT goes beyondjust answering questions. Itās also redeļ¬ningthe way we perceive AI. No longer are we limitedto perceivingAI as a programmed entityāsuchas instructinga robot withprecise code to walk, lift,or build. Instead,weāre enteringanage where AI canbe a valuable toolāa coach,a companion,a mentor,a collaborator invarious spheres oflife andwork and disciplines suchas project management. This modernAI has the potentialto understandcontext,provide insights,and augment the humancapabilities ofproject managers and enhance their productivity.
Letās demonstrate suchcapabilities usinga semiļ¬ctional case study inwhichwe draw uponour real-worldexperience withproject management andAI practitioners,alteringsome details andidentifyinginformation. to illustrate AIās transformative impact onproject management.
AI inAction: Swift Project Turnover
This example is basedonour experience withaninsurance company weāllcallNew Era Insurance,inHartford, Connecticut. Project managers inthis organizationfaced obstacles andprojects underperformedinspeciļ¬c key metrics involvingcost andschedule. The senior leadership
assumedthat this was due to a lack ofthe ability to estimate projects accurately. However,a conversationwiththe project managers andother teammembers revealedthat the root cause for the problemwas poor change management practices andstaļ¬ turnover. The latter point was a signiļ¬cant source ofstress for project managers; we aimto demonstrate how AI canalleviate this issue.
There is a highrisk ofwastedtime andloss ofproductivity whena teammember departs fromthe project teamor exits the organization. Elevatedturnover inprojects canleadto reducedeļ¬iciency,heightenedcosts for recruitment and training,anda dropinthe spirits ofthe existingteam, potentially aļ¬ectingthe projectās ļ¬nalresults. Moreover, turnover puts more pressure onproject managers as they grapple withintegratingnew members andmaintaining project consistency. CanAI assist inaddressingturnover by expeditingthe rehiringprocess?
At New Era Insurance,Ellen,a seasonedproject manager, was ina quandary. Jen,a key teammember,decidedto leave midway througha pivotalproject. The departure threatened to derailtheir timelines anddisappoint the stakeholders.
However,equippedwiththe capabilities oftheir generative AI-drivenHR system,Ellenwas optimistic about handlingthe turnover andfacilitatinga seamless returnto normalcy.
WhenJensubmittedher resignation,Ellenloggedinto the companyās Enterprise AI platform,code-namedāHR-GPT.ā She enteredthe job role andproject speciļ¬cs. Within minutes,HR-GPT pulledupa list ofpotentialcandidates from
bothinternaldatabases andexternaljob platforms. The AI systemscreenedrƩsumƩs,matchingcandidates withthe requiredskills andexpertise for the project.
Ellenreceivednotiļ¬cations oftopcandidates,complete with AI-generatedinterview schedules basedonEllenās availability,that ofthe candidates,andavailable conference rooms. HR-GPT evenprepareda set ofinterview questions tailoredto assess the candidatesāskills inrelationto the projectās needs. This savedEllenhours ofpreparation.
After the interviews,Ellenfelt a bit tornbetweenthe two candidates. She turnedto HR-GPT again,whichprovidedan analysis comparingthe candidates basedontheir responses, past job performances,andļ¬t withthe company culture. This made Ellenās decisionmore straightforward.
Once the new employee,Max,was selected,HR-GPT moved into onboardingmode. Max receiveda series ofpersonalized tutorials about the project. These tutorials,generatedby the AI,drew fromdocumentation,past teamdiscussions,and evencode snippets to helphimunderstandthe projectās current state.
OnMaxās ļ¬rst day,he didnāt wander aroundlookingfor supplies or access permissions. HR-GPT hadalready set up his workstation,grantedhimaccess to necessary ļ¬les,and evenscheduleda virtualmeet-and-greet withthe team.
Ellenwatchedwithsatisfactionas Max quickly integrated into the team,armedwithinsights andknowledge that typically took weeks to accumulate. The project not only stayedontrack,but also thrivedwithfreshenergy. Ellenwas gratefulfor HR-GPTās AI capabilities,whichturneda potentialproject crisis into a smoothtransition.
Many practitioners estimate that upto 90 percent ofa project managerās time is dedicatedto oralandtechnical communications. While a lot ofthe communicationis essential,a signiļ¬cant portionofit couldbe classiļ¬edas a waste oftime. Letās break downthe communicationand associatedtasks Ellenwouldtypically handle without HRGPT,andthenestimate the time savedby usingHR-GPT:
ā¢ Job PostingandCandidate Search:
ā¢ Traditionalmethod: Researchingandwritinga job description,postingit onmultiple platforms,andmanually reviewingrĆ©sumĆ©s
