#andImpact

[abhishekinfotech]

The power of AI and ML: How Artificial Intelligence and Machine Learning transform various industries and society?

Artificial Intelligence and Machine Learning: The Future of Technology

Artificial intelligence (AI) and machine learning (ML) are two of the most rapidly developing technologies in the world today. These technologies are having a transformative impact on various industries and society as a whole. Artificial intelligence (AI) and machine learning (ML) are two of the most transformative technologies of our time. They have the potential to revolutionize many aspects of our lives, from healthcare and education to business and entertainment. In this article, we will discuss some of the latest AI and ML advancements, applications, and their impact on various industries and society.

What is the impact of Artificial Intelligence (AI) and Machine Learning (ML)?

In the modern era of technology, Artificial Intelligence (AI) and Machine Learning (ML) have emerged as the driving forces behind groundbreaking innovations that are reshaping industries and societies. From autonomous vehicles to personalized medicine, AI and ML are creating waves of transformative change, pushing the boundaries of what was once considered possible. In this article, we delve into the latest advancements in AI and ML, explore their diverse applications across industries, and analyze the profound impact they're making on society. Artificial Intelligence (AI) and Machine Learning (ML) have rapidly emerged as transformative technologies that are reshaping industries and society as a whole. These technologies are revolutionizing how businesses operate, how healthcare is delivered, how we interact with technology, and more. In this article, we'll delve into the latest AI and ML developments, explore their wide-ranging applications, and discuss the profound impact they are having on various industries and society.

The Evolution of AI and ML

Artificial Intelligence, the concept of machines mimicking human intelligence, has evolved over decades, culminating in the present era of neural networks and deep learning. Machine Learning, a subset of AI, involves training algorithms to learn from data and improve their performance over time. Recent advancements in hardware capabilities and the availability of vast amounts of data have fueled the rapid progress of AI and ML, enabling them to solve complex problems and automate intricate tasks. Latest AI and ML Advancements AI and ML are constantly evolving and improving, thanks to the rapid development of data, algorithms, hardware, and software. Some of the recent emerging trends in AI and ML include: Some of the latest advancements in AI and ML include: - Deep learning: Deep learning is a subset of machine learning that uses artificial neural networks to learn from data. Deep learning has been used to achieve breakthroughs in image recognition, natural language processing, and other fields. - Generative Adversarial Networks (GANs): GANs have revolutionized the creation of realistic content. These networks consist of two parts, a generator and a discriminator, which work together to produce highly convincing images, videos, and even text. GANs have applications in art, fashion, video game design, and more. - Reinforcement Learning: AI systems are learning how to make decisions through reinforcement learning, where they receive feedback based on their actions. This approach has powered advancements in robotics, gaming, finance, and autonomous vehicles. - Federated Learning: To address privacy concerns, federated learning enables training machine learning models across multiple devices while keeping data decentralized. This technique is particularly relevant in healthcare, where patient data security is crucial. - Natural language processing: Natural language processing (NLP) is a field of computer science that deals with the interaction between computers and human (natural) languages. NLP is used in various applications, such as machine translation, chatbots, and sentiment analysis. - Computer vision: Computer vision is a field of computer science that deals with the extraction of meaningful information from digital images or videos. Computer vision is used in various applications, such as self-driving cars, facial recognition, and medical image analysis. - Robotics: Robotics is the field of engineering that deals with the design, construction, operation, and application of robots. Robots are increasingly being used in a wide variety of industries, such as manufacturing, healthcare, and logistics. - Big Data Analytics: With the advent of IoT and 5G devices, the exponential growth of data will continue. AI and ML can help analyze this massive amount of data and extract valuable insights for various purposes. - Hyperautomation: This is the term coined by Gartner to describe the process of automating as many business processes as possible using AI, ML, robotic process automation (RPA), and other technologies. - Cloud Innovation: Companies are making a move to cloud adoption due to AI/ML-based applications and services. Cloud platforms offer scalability, flexibility, security, and cost-effectiveness for AI and ML solutions. - Cybersecurity: As cyberattacks become more sophisticated and frequent, AI and ML can help enhance cybersecurity by detecting threats, preventing breaches, and responding to incidents. - The Rise of AIoT: AIoT is the combination of AI and the Internet of Things (IoT). It refers to the use of AI and ML to enhance the capabilities of IoT devices, such as smart homes, smart cities, smart factories, etc. - Ethics: As AI and ML become more pervasive and powerful, ethical issues such as fairness, accountability, transparency, privacy, and human rights become more important. There is a need for ethical frameworks, standards, and regulations to ensure that AI and ML are used responsibly and beneficially. - Hybrid Workforce: The COVID-19 pandemic has accelerated the adoption of remote work and digital collaboration. AI and ML can help support the hybrid workforce by enabling productivity, communication, creativity, learning, and well-being. Latest Advancements - Deep Learning and Neural Networks: Deep learning, a subset of ML, has revolutionized AI by enabling algorithms to automatically learn patterns from data. Convolutional Neural Networks (CNNs) have led to breakthroughs in image and video analysis, while Recurrent Neural Networks (RNNs) have transformed natural language processing and speech recognition. - Generative Adversarial Networks (GANs): GANs have introduced the concept of AI systems generating content, such as images, music, and text. These networks consist of a generator and a discriminator, competing to produce authentic outputs, leading to advancements in art generation, data augmentation, and even creating realistic deepfakes. - Reinforcement Learning: This learning paradigm involves training models through trial and error to achieve specific goals. Reinforcement learning has powered advancements in robotics, gaming, and optimization problems. Notably, OpenAI's GPT-3 has showcased the potential of reinforcement learning for natural language understanding and generation. - Explainable AI: As AI systems become more complex, understanding their decision-making processes has become crucial. Explainable AI aims to provide insights into how models arrive at their conclusions, fostering transparency, accountability, and trust in AI applications. Applications of AI and ML AI and ML are being used in a wide variety of industries, including: - Healthcare: AI and ML are being used to develop new diagnostic tools, improve the efficiency of clinical trials, and personalize patient care. - Education: AI and ML can help enhance education quality by enabling adaptive learning, personalized feedback, intelligent tutoring systems, gamification, etc. - Business: AI and ML can help optimize business processes by enabling automation, analytics, decision support systems, customer service chatbots, recommendation systems, etc. - Entertainment: AI and ML can help create engaging entertainment experiences by enabling content generation, personalization, interactivity, social media analysis, etc. - Society: AI and ML can help address social challenges by enabling disaster management, environmental monitoring, poverty alleviation, human rights protection, etc. - Finance: AI and ML are being used to detect fraud, automate trading, and provide financial advice. - Manufacturing: AI and ML are being used to optimize production processes, improve product quality, and reduce costs. - Retail: AI and ML are being used to personalize customer experiences, recommend products, and optimize inventory levels. - Retail and E-commerce: AI-powered recommendation systems personalize shopping experiences, suggesting products based on user preferences and behavior. Natural language processing also enables chatbots to provide customer support and process orders. - Logistics: AI and ML are being used to optimize transportation routes, improve delivery times, and reduce costs. - Autonomous Systems: Self-driving cars and drones are prime examples of AI-driven autonomy. These systems leverage sensors, cameras, and ML algorithms to navigate, make decisions, and interact with their environment in real-time. - Manufacturing: The industrial sector benefits from predictive maintenance, where AI analyzes sensor data to anticipate equipment failures, reducing downtime and optimizing production processes. - Transportation: The automotive industry is moving toward self-driving vehicles with AI at the core. ML algorithms process real-time data from sensors to make split-second decisions, enhancing road safety. AI and ML have a significant impact on various industries and society. They can create new opportunities, enhance efficiency, improve quality, reduce costs, and increase customer satisfaction. However, they can also pose some risks, such as job displacement, bias, discrimination, privacy invasion, and ethical dilemmas. Therefore, it is important to balance the benefits and challenges of AI and ML and ensure that they are used for good.

Impact on Society

While the advancements and applications of AI and ML are undeniably transformative, they also raise important societal considerations: - Ethics and Bias: AI algorithms can inadvertently perpetuate biases present in the training data, leading to unfair outcomes. Ensuring ethical AI development, addressing bias, and maintaining fairness are critical challenges. - Ethical Considerations: As AI systems make decisions that impact people's lives, ethical concerns around bias, transparency, and accountability come to the forefront. Ensuring fairness and avoiding discriminatory outcomes is crucial. - Job Disruption and Reskilling: The automation potential of AI and ML can lead to job displacement in certain industries. Governments, businesses, and educational institutions must collaborate to provide reskilling opportunities to affected workers. - Education and Skill Development: The rise of AI and ML underscores the importance of education and continuous learning. Developing AI literacy and upskilling in data-related fields will be essential to remain competitive in the job market. - Job Landscape: While AI and ML create new job opportunities in fields like data science and AI ethics, they also reshape job roles. Repetitive tasks are automated, allowing humans to focus on creative and strategic work. - Privacy and Security: The proliferation of AI applications raises concerns about data privacy and security. Protecting sensitive information and preventing misuse of AI-driven technologies is essential. - Regulation and Governance: Striking the right balance between innovation and regulation is a delicate task. Governments need to establish frameworks that foster AI development while safeguarding against potential risks. - Human-AI Collaboration: The future likely involves humans and AI working together in harmony. Designing interfaces and interactions that facilitate effective collaboration is key. Impact of AI and ML on Society AI and ML have the potential to have a major impact on society, both positive and negative. Some of the potential positive impacts include: - Improved healthcare: AI and ML can be used to develop new diagnostic tools, improve the efficiency of clinical trials, and personalize patient care. This could lead to earlier diagnosis and treatment of diseases, as well as better outcomes for patients. - Increased productivity: AI and ML can be used to automate tasks that are currently done by humans. This could lead to increased productivity in a variety of industries. - Improved decision-making: AI and ML can be used to analyze data and make predictions. This could help businesses make better decisions about things like product development, marketing, and investment. - Enhanced creativity: AI and ML can generate new ideas and concepts. This could lead to new products, services, and experiences. Some of the potential negative impacts of AI and ML include: - Job displacement: AI and ML could lead to the displacement of some jobs. This is because machines can now automate many tasks that were previously done by humans. - Increased inequality: AI and ML could lead to increased inequality. This is because the benefits of these technologies are likely to accrue to those who have the resources to invest in them. - Data privacy concerns: AI and ML require large amounts of data to train and operate. This raises concerns about data privacy and security. - Ethical concerns: AI and ML raise ethical concerns, such as the potential for bias and discrimination. It is important to carefully consider the potential impacts of AI and ML before deploying these technologies. It is also important to develop ethical guidelines for the use of these technologies. AI and ML are amazing technologies that can transform our world in many ways. They are constantly advancing and improving and have a wide range of applications and impacts on various industries and society. However, they also require careful consideration of their ethical and social implications. We hope that this article has given you some insights into the latest AI and ML trends, applications, and impact and inspired you to learn more about them.

Conclusion

Artificial Intelligence and Machine Learning have transcended the realm of science fiction to become powerful tools shaping our present and future. The latest advancements and applications of AI and ML are already transforming industries, from healthcare to entertainment, and their societal impact is profound. As these technologies continue to evolve, it's imperative for stakeholders to navigate the challenges responsibly, harnessing the potential of AI and ML to drive positive change while mitigating risks. Embracing a future of human-AI collaboration holds the promise of an era where innovation knows no bounds. Overall, AI and ML are powerful technologies that have the potential to revolutionize many aspects of our lives. However, it is important to use these technologies responsibly and ethically. Read This also👉 What is Sensor? How does this work in our Phone-Computer-TV? Read the full article

[yashallied]

Commercial Oven Market:Market Analysis 2023| Recorded Hyper Growth in the Future – 2030- Claims Allied Market Research.

The commercial oven market is experiencing significant growth and will grow exponentially in the coming years.  Commercial oven is providing features like baking, grilling and reheating. It is preferred in various restaurants and hotels because food is prepared in large quantities. Manufacturers are taking proper care of energy conservation, energy saver because the consumers are demanding that oven from which they can save the cost of electricity. The demand for commercial oven has increased due to the high preference for food made in the oven. The commercial oven is designed in such a way that it can be only used in commercial places, not in households because of its heavy material. It can be used for a full day and can hold electric power to reduce the effects of shocks.

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COVID-19 ScenarioAnalysis:

COVID-19 pandemic has severely affected the commercial oven market. The supply of commercial oven is being stopped because China is the main supplier of this industry wherein raw material and finished products are imported. The electronic industry is facing issues like production, supply, and increase of prices. If the trade barriers remain the same, then it can increase the prices of commercial oven, which will further lead to a decrease in the sale of the commercial oven.

Top Impacting Factors: Market Scenario Analysis, Trends, Drivers andImpact Analysis

The demand for commercial ovens is increased in restaurants, hotels, and bakeries because of the taste preferences of the customer decline from traditional food. The increase in the consumption of pizzas, burgers, and pastries, has increased the requirement of ovens.  The growing increase in the employment level, increase in disposable income, and change in living standards have increased the growth of the global commercial market. With the rise in the trend of working women, they can contribute less time in the kitchen, and mostly depend on restaurants, hotels, and bakeries for food.

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As they have to order, and they get their meal at their doorstep. The main contribution of increase the demand for the commercial oven is from online platformssuch as Zomato and Swiggy, wherein food can be ordered and the consumer can also get discounts, which has contributed to the growth of the commercial oven market. The commercial oven is segmented into different types of grillers, convection oven, and solo oven.  Conventional oven is used for the heating purpose in which heat is equally distributed inside the oven and is mostly used in the restaurants and bakeries. Whereas solo oven used for boiling purpose in which baking and grilling is not possible. So, the different hotels according to their requirement of preparing the food, prefer different types of oven.

North America holds the highest revenue share in the commercial oven market owing to high demand for technology according to the preference of the customer. These countries can spend on these items. China is one of the major suppliers of the commercial oven because of the affordable raw material and finished product. China is scanning the market and checking the taste and preferences of the customer. Technology up-gradation is one of the major tools, which increases the demand for commercial oven.

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This study presents the analytical depiction of the commercial oven market along with the current trends and future estimations to determine the imminent investment pockets.

The report presents information related to key drivers, restraints, and opportunities along with detailed analysis of the commercial oven market share.

The current market is quantitatively analyzed to highlight the Commercial Oven Market growth scenario.

Porter’s five forces analysis illustrates the potency of buyers & suppliers in the market.

The report provides a detailed global thermistor market analysis based on competitive intensity and how the competition will take shape in coming years.

About Us:- 

Allied Market Research (AMR) is a full-service market research and business-consulting wing of Allied Analytics LLP based in Portland, Oregon. Allied Market Research provides global enterprises as well as medium and small businesses with unmatched quality of "Market Research Reports" and "Business Intelligence Solutions." AMR has a targeted view to provide business insights and consulting to assist its clients to make strategic business decisions and achieve sustainable growth in their respective market domain.

Pawan Kumar, the CEO of Allied Market Research, is leading the organization toward providing high-quality data and insights. We are in professional corporate relations with various companies and this helps us in digging out market data that helps us generate accurate research data tables and confirms utmost accuracy in our market forecasting. Each and every data presented in the reports published by us is extracted through primary interviews with top officials from leading companies of domain concerned. Our secondary data procurement methodology includes deep online and offline research and discussion with knowledgeable professionals and analysts in the industry.

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Both hurricane windows Dania FL andimpact windows North Miami are designed to handle the severe conditions associated with hurricanes. Their ability to withstand winds of up to 200 mph and resist debris impacts makes them a reliable shield for your property.

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SAP and UNIDO join forces to enable UN Sustainable Development Goals with innovative technologies | UNIDO

Walldorf and Vienna, 17 October 2017 — SAP SE and the United Nations Industrial Development Organization(UNIDO) today announce the signing of a joint declaration to advance the 2030 Agenda for SustainableDevelopment and monitor its implementation, in particular in the area of inclusive and sustainable industrialization, by utilizing innovative technologies including analytics, reporting, the Internet of Things, artificial intelligence, blockchain, and others.

The joint initiative will focus on the development of an innovative platform, SAP Digital Boardroom, to monitor, manage, and report on the Sustainable Development Goals and their industry-related targets. “SAP Digital Boardroom allows UNIDO groups to gain visibility across their entire organization, consolidate achievements on the SDGs and document their impact on people’s lives. Through data integration, the solution provides a single source of truth for strategic decisions, and that is critical for success in the fast-paced digital economy,” says Isabella Groegor-Cechowicz, Global General Manager for Public Services, SAP.

This new initiative demonstrates SAP’s commitment to the 17 UN Global Goals for Sustainable Development, which also includes membership of the Global Partnership for Sustainable Development Data (GPSDD) andIMPACT 2030.

“With SAP as a partner, we are making progress under the 2030 Agenda by harnessing the power of new technologies to overcome the digital divide and achieve prosperity for all,” commented Hiroshi Kuniyoshi, Deputy to the Director General of UNIDO.

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PROJ6006_Assessment_04

PROJ6006_Assessment_04.Docx Page 1 of 6

ASSESSMENT BRIEF 01Subject Code and Title PROJ6006: Organisational Behaviour and PeopleManagementAssessment 01: Participation in DiscussionsIndividual/Group IndividualLength Approximately 250 words for the main post andminimum of 2 responses to other students.Learning Outcomes 1, 2, 3Submission End of Module 2 and 3Weighting Module 2 = 10% and Module 3= 10%Total Marks 20 marks

Context:

  Students will practice professional communication with peersStudents will discuss Organisational Behaviour concepts, as they relate to ProjectManagement, in a group settingStudents will practice communication of personal perspectives on project case analysisand the development of project teams

By participating in discussion threads, students will practice the skill of professionalcommunication and thought sharing with colleagues. They will also have the opportunity toapply Organisational Behaviour theory to practical situations by discussing case studies andproject management scenarios applicable to the theories. In addition, participants cansynthesize lessons of the module by applying them to current or prior professionalexperiences.Instructions:To participate in the discussions, complete the required module readings and research prior toclass.Face-to-Face students will participate in the discussions, during class, in week 2 of Module 2 & 3.The main post will be written in class, the student will then write a minimum of 2 responses toother students posts.Online classes will submit their main post to the discussion board. The student’s ability to seeother student’s posts is activated only after they make their first post to the discussions.PROJ6006_Assessment_04.Docx Page 2 of 6Discussion 1: Shared Reflection/Discussions topic – Due end of module 2Through reflecting on the case study presented in module 1 learning resources, describe oneor more of the types of power, defined by Shenoy, which could be demonstrated positively ornegatively by the leader of the team. Further discuss how a project manager can use this typeof power to impact the performance of the project team and improve the likelihood ofproject success? What benefits can be gained from using more than one source of influencewhen leading a team? Is there a difference between influence and manipulation? Justify youranswer.Respond to at least two or more colleagues’ postings, offering further support or potentialchallenges to using the power types in a Project Management capacity.Discussion 2: Shared Reflection/Discussion topic – Due end of module 3What advantages are there to groups/teams comprised of members from around the globe?How would these advantages be different in complex projects? What challenges do youbelieve a PM will face in managing a project group over international boundaries? How canyou prepare for, or minimise these challenges?Respond to at least two or more colleagues’ postings, offering further support or potentialchallenges in globally located teams.Subject Learning Outcomes:• Critically analyse the use of ‘power’ in organisations to achieve project outcomes, themanagement of stakeholder objectives and the impact this has on the agency of projectteams.• Develop and apply a range of leadership and communication strategies to achieveproject success for all stakeholders.• Reflect on your performance as a project manager in a range of situations, drawing onfeedback from others in addition to progress against achievement of outcomes.Learning Rubrics

AssessmentAttributesFail (Unacceptable)(0-49%)Pass (Functional) (50-64%)Credit (Proficient)(65-74%)Distinction(Advanced) (75-84%)High Distinction(Exceptional) (85-100%)Issues and challenges onmanaging teams.15%Confuses logic andemotion.People managementinformation are takenfrom reliable sourcesbut without a coherentanalysis or synthesis.Lacks evidence from theview point of peoplemanagement experts.Resembles a recall orsummary of peoplemanagement andsystems, theirassociated risks andimplementationprocesses.Conflates/confusesassertion of personalopinion with peoplemanagement informationsubstantiated byevidence from theresearch/coursematerials.Attempts to synthesisecitation from peoplemanagement sources.Viewpoints of peoplemanagement expertsare taken as fact withlittle questioning.Supports personalopinion with evidencefrom reliable peoplemanagement sources.Demonstrates a capacityto explain and applypeople managementconcepts, theirassociated risks andimplementationprocesses.Identifies logical flaws inthe evidence frompeople managementsources.Questions viewpoints ofpeople managementexperts.Discriminates betweenassertion of personalopinion and peoplemanagement sources.Capacity to explainand apply peoplemanagementconcepts, theirassociated risks andimplementationprocesses issupported by robustevidence fromresearch/coursematerials.Questions viewpointsof peoplemanagement experts.Analysis andevaluation reflectgrowing judgement,rigor and adaptability.Discriminates betweenassertion of personalopinion and peoplemanagement sourcessubstantiated by robustevidence from theresearch/course materials.Questions viewpoints ofpeople management expertsand offers critical analysisof information taken fromoutside sources.People managementinformation is taken fromsources with a high level ofinterpretation/evaluationto develop a comprehensivecritical analysis or synthesis.Identifies gaps inknowledge. Exhibitsintellectual independence,rigor, good judgement andadaptability.

High Level of personalautonomy andaccountability 15%Does not reflect uponown learning.Is unreliable and/oruntimely insuccessfullycompleting tasks.Blames others forinefficiencies andinaction.Reflects on ownbehaviour and impacton others, modifiesbehaviour whennecessary.Uses adequatereflection for ownlearning.Takes responsibilityfor own actions andcompletes tasksindependently ontime.Reflects on ownbehaviour and impacton others, modifiesbehaviour whennecessary.Uses reflection forown learning.Takes responsibilityfor own actions andcompletes tasksindependently ontime.Demonstratesresilience bybalancing prioritiesand managing time.Reflects andevaluates on ownbehaviour andimpact on others,modifies behaviourwhen necessary.Uses appropriatereflectivestrategies for ownlearning.Takes responsibilityfor own actionsand completestasksindependently ontime.Demonstratesresilience bybalancingcompetingpriorities,managing timeeffectively andovercomingobstacles.Critically Reflects andanalyses own behaviorand impact on others,modifies behaviour whennecessary.Applies critical reflectivepractice for own learning.Takes responsibility forown actions andcompletes tasksindependently on time.Demonstrates effectiveresilience strategies bybalancing competingpriorities, managing timeeffectively andovercoming obstacles.Sensitive to diverse andcomplex contexts.

Knowledge andunderstanding of themanagement ofstakeholderobjectives and theimpact this has on theagency of projectteams15%Shows limitedunderstanding of themanagement ofstakeholderobjectives and theimpact this has on theagency of projectteams.Does not address keycomponents ofstakeholderobjectives.Resembles a recall orsummary of key ideasabout stakeholderobjectives.Addresses the impactof stakeholderobjectives on projectteams.Demonstratesclearunderstanding of theconcept of agency.Supports personalopinion andinformationsubstantiated byevidence from theresearch materials.Explains managementof stakeholderobjectives and appliesto the concept ofproject teams.Elaborates clearly therelationship betweenmanaging stakeholderobjectives and theagency of projectteams.Discriminatesbetween assertion ofpersonal opinion andinformationsubstantiated byrobust evidence fromthe researchmaterials.Critically discriminatesbetween stakeholderobjectives, theirmanagement, and theimpact these have onthe agency of projectteams.Supports personalopinion andinformation by robustevidence from theresearch materialsand extended reading.Analysis andapplication ofleadership andLimited synthesisand analysis ofcommunicationDemonstratesanalysis andsynthesis ofcommunicationWell-developedanalysis andsynthesis ofThoroughlydeveloped andcreative analysisandSophisticated and/orcreative analysis,

communicationstrategies forproject success15%strategies to achieveproject successand/or insufficientidentification ofstakeholders.Limited application/recommendationsfor leadershipstrategies to achieveproject success.strategies to achieveproject success.Appliesrecommendationsfor leadershipstrategies toachieve projectsuccess.Howeverinsufficientlyidentifies allstakeholders andtheir relation toproject success.communicationstrategies withapplication ofrecommendations toachieve projectsuccess linked toanalysis/synthesis.Appliesrecommendationsfor leadershipstrategies toachieve projectsuccess.Sufficientlyidentifiedstakeholders inrelation to theproject success.synthesis ofcommunicationand/or leadershipstrategies to achieveproject success.Well demonstratedidentification andanalysis ofstakeholders.synthesising newand existingknowledge ofcommunicationandleadershipstrategies to achieveproject success.Critically analysedrelationship ofstakeholders inrelation to projectsuccess.Recommendationsare clearly justifiedbased on theanalysis/synthesis ofproject success.Participation andcontribution15%Fails to participatein any discussion.Fails to add anycontribution to thepost of others.Rarely participatesin discussion forumsAdditions to thepost of others aresuperficial and lackinsight.Frequentlyparticipates indiscussions.Contributions to thepost of others showinsight and advancethe topic underdiscussion.Participates in alldiscussions.Contributions to thepost of others showinsight and adddepth to the topicunder discussion.Participates fullyand actively alldiscussions.Contributions to thepost of others showinsight and take thetopic underdiscussion into newdirections.

Gives constructivefeedback to peers15%Fails to offer anyfeedback.No support orencouragement topeers.No awareness orsensitivity todiversity amongstpeers.Offers feedback butrarely constructiveor useful.Feedback is notalways clear orspecific to guidepeers.Little support orencouragement topeers.Demonstrates littleawareness of and/orsensitivity todiversity amongstpeers.Offers feedback thatis sometimesconstructive oruseful.Feedback isprovided withexamples to guidepeers.Some support andencouragement topeers.Demonstrates somelevel of awarenessof and sensitivity todiversity amongstpeers.Offers constructivefeedback regularly.Formulates themerits of alternativeideas or proposalsand communicatesthem to peers.Offers support andencouragement topeers.Demonstrates ahigh level ofawareness of andsensitivity to diversityamongst peers.Always offersdetailedconstructivefeedback that isspecific andappropriate.Expertly articulatesthe merits ofalternative ideas orproposals andcommunicates themeffectively to peers.Provides expertassistance, support,and encouragementto peers.Consistentlydemonstrates a highlevel of awarenessof and sensitivity todiversity amongstpeers.

EffectiveCommunication 10%Difficult tounderstand foraudience, nological/clearstructure, poor flowof ideas, argumentlacks supportingevidence.No effort is made tokeep audienceengaged, audiencecannot follow theline of reasoning.Little use ofpresentation aids,or the presentationaids and materialused are irrelevant.Information,arguments andevidence arepresented in a waythat is not alwaysclear and logical.Attempts are madeto keep theaudience engaged,but not alwayssuccessful. Line ofreasoning is oftendifficult to follow.Presentation aidsare used more foreffect thanrelevance.Information,arguments andevidence are wellpresented, mostlyclear flow of ideasand arguments.The audience ismostly engaged,line of reasoning iseasy to follow.Effective use ofpresentation aids.Information,arguments andevidence are verywell presented, thepresentation islogical, clear andwell supported byevidence.Engages theaudience,demonstratescultural sensitivity.Carefully and wellpreparedpresentations aidsare used.Expertly presented;the presentation islogical, persuasive,and well supportedby evidence,demonstrating aclear flow of ideasand arguments.Engages andsustains audience’sinterest in the topic,demonstrates highlevels of culturalsensitivity Let’s block ads! (Why?)

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PROJ6006_Assessment_04

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Subject of women empowerment very close to me: Anita Dongre

Subject of women empowerment very close to me: Anita Dongre

Designer Anita Dongre says that with her new campaign #ANDImpact for which Bollywood actress Kareena Kapoor Khan has also shot a video, her brand highlights importance of a sustainable environment and celebrates four such women change-makers — Priyanka Raina, Purnima Burman, Srishti Bakshi and Rashi Anand.

“Through its latest campaign, #ANDImpact, the brand highlights the importance of a…

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The Top 10 Women Speakers in Technology

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Technology is moving faster and faster as advancements are transforming and inspiring every modern industry. Technology speakers can help make sense of andimpact how your organization views and uses technology. 

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