Gartner Top End User Predictions for 2010
2024年Gartner十大战略技术趋势详细指南(英)-Gartner-2023-
Technology Trends20241.2.3.4.5.6.7.8.9.10. 2024Tech trends research helps you prioritize your investments in the age of AIGartner expects these 10 trends — which each fall into one or more categories — to factor into many business and technology decisions over the next 36 months. Your business goals will determine which you plan to leverage, and when.Build and protect your organization while generating valueRise of the buildersBP has enabled its employees to create their own solutions with limited involvement from IT. BP developed a broad portfolio of digital platforms to match its users’ capabilities and needs. It automated security testing, component scanning and licensing, and release automation.In Action: Platform EngineeringWhat to doEmpower your people and developers to buildsolutions using the right technology for each function.Deliver the valueMerck has a dedicated program for extended reality designed to maximize the use of employee time. The program was developed with HR and L&D partners, business unit leads and operations. Frontline workers champion use cases across knowledge transfer, testing and training. Each manufacturing site is provided with templates to guide deployment and change management. As a result, 70% of subject matter expert time was redirected from non-value-added work, and an average of two weeks was saved on training and time to competence.In Action: Augmented Connected Workforcechanging digital tools.Commit to a cycle of refining and accelerating value optimization while maintaining operational excellence.What to know about the Top 10 Strategic Technology TrendsAI Trust, Risk and Security Management(AI TRiSM)Supports AI model governance, trustworthiness, fairness, reliability, robustness, transparency and data protection1AI TRiSMWhy trending?• Those who actively use AI TRiSM controls move more of their AI projects into production, achieve more business value, and experience enhanced model precision and consistency, than those who don’t.• Organizations that use AI models managed with TRiSM can enhance bias control in decisions while increasing fairness in AI-driven applications.• AI model explainability must be constantly tested through model monitoring. This ensures that original explanations and interpretations of AI models remain active during model operations.1How to get startedS et up a task force or dedicated unit to manage your AI TRiSM efforts. W ork across your organization to effectively manage best-of-breed toolsets as part of a comprehensive AI TRiSM program.D efine acceptable use policies, and establish a system to methodically record and approve access to AI models and attestations of actual uses.By 2026, enterprises that apply TRiSM controls to AI applications will increase accuracy of their decision making by eliminating 80% of faulty and illegitimate information.Source: GartnerGartner predictsContinuous Threat Exposure Management(CTEM)A pragmatic and systemic approach to continuously adjust cybersecurity optimization priorities2CTEMWhy trending?• This approach to security aligns exposure assessment cycles with specific business projects or critical threat vectors.• Both patchable (vulnerabilities) and unpatchable exposures are addressed.• The exposure and remediation priorities of the enterpriseare validated by weighing in the attacker’s view and testing the effectiveness of security controls.• Expected outcomes from tactical and technical responseare shifted to evidence-based security optimizations supported by improved cross-team mobilization.How to get startedI ntegrate CTEM consistently with risk awareness and management programsto provide a relatable business-led focus and business value-based prioritizationof exposure mitigation.W hen expanding a vulnerability management program, get momentum withoperational wins that frequently lie in improving the prioritization of findingsthrough validation techniques.E mbrace cybersecurity validation technologies to augment your existingprioritization workflows and enhance cybersecurity readiness.By 2026, organizations prioritizing their security investments based on a CTEM program will realize a two-thirds reduction in breaches.Source: GartnerGartner predicts2Sustainable TechnologyA framework of digital solutions used to enable environmental, social and governance (ESG) outcomes that support long-term ecological balance and human rights3Sustainable TechnologyWhy trending?• Environmental technologies prevent, mitigate and adapt to risks in the natural world.• Social technologies improve human rights outcomes, well-being and prosperity.• Governance technologies strengthen business conduct, oversight and capacity building.• Sustainable technologies provide insights necessary for improving overall performance.How to get startedS elect technologies that will help drive sustainability in your industry and that are identified as priority for the business and key stakeholders. This may include cloud services, AI and others.I nvolve your ethics board in developing a roadmap for structured decisionmaking. Instead of finding trade-offs, pursue optimization of any value in favor of improved overall organizational sustainability.U se the Gartner Hype Cycle™ for Sustainability, 2023, to find the right balance between the well-established and leading-edge technologies for your enterprise sustainability.By 2027, 25% of CIOs will have compensation linked to their sustainable technology impact.Source: GartnerGartner predicts3Platform EngineeringThe discipline of building and operating self-service internal platforms — eachplatform is a layer, created and maintained by a dedicated product team, designed to support the needs of its users by interfacing with tools and processes4Platform EngineeringWhy trending?• This practice optimizes the developer experience and accelerates delivery of business value.• It reduces cognitive load through improvement of the developer experience and productivity.• Developers’ abilities to independently run, manage and develop their applications is improved, while ensuring reliability and security.• Key talent retention is also improved.How to get startedC urate and build internal platforms with reusable, composable, configurableplatform components, knowledge and services.T reat the platform as a product. Work with end users to identify and prioritizewhatever technical capabilities, tools and processes are most useful to them,and then build a platform around that.B uild a product management culture, with routine collaboration between platformengineers and the end users they serve, where they can share bidirectionalfeedback in a safe and productive environment.By 2026, 80% of software engineering organizations willestablish platform teams as internal providers of reusableservices, components and tools for application delivery.Source: GartnerGartner predicts4AI-Augmented DevelopmentThe use of AI technologies, such asgenerative AI and machine learning (ML), to aid software engineers in creating, testing and delivering applications5AI-Augmented DevelopmentWhy trending?• AI-augmented development tools integrate with an engineer’s development environment to produce application code, translate legacy code to modern languages, enable design-to-code transformation and enhance application testing capabilities.• AI-assisted software engineering improves developer productivity and enables development teams to address this increasing demand for software to run the business.• AI-infused development tools allow software engineersto spend less time writing code, facilitating an increased focus on higher level activities, such as the design and composition of compelling business applications.How to get startedE stablish a team of senior software engineers who can evaluate AI codegeneration tools to determine the best way to deploy and use these tools.E valuate and deploy AI testing tools, as these will become mandatory elementsof your application testing processes.S elect or establish a design system with reusable UI design and front-endcomponents, and enable this design system with design-to-code capabilities.By 2028, 75% of enterprise software engineers will use AI coding assistants, up from less than 10% in early 2023.Source: GartnerGartner predicts5Industry Cloud PlatformsAddress industry-relevant business outcomes by combining underlying SaaS, PaaS and IaaS services into a whole product offering with composable capabilities6Industry Cloud PlatformsWhy trending?• Industry cloud platforms (ICPs) are tailored cloud proposals specific to your industry and can further be tailored to your individual organization’s needs.• IT leaders can use the composability of these platforms to gain the adaptability and agility to respond to accelerating disruption in their organization’s industry.• ICPs deliver on industry-specific outcomes that are relevant to the mission-critical priorities of the vertical segment.• Technology and IT leaders can use the composable approach that ICPs take toward creating industrywide capabilities by (re)composing a differentiating proposition, which is unique for their customer and partner ecosystem.How to get startedU se ICPs to complement the existing portfolio of applications (like an exoskeleton) by introducing new capabilities that add significant value, rather than start byreplacing existing capabilities.C reate rules for when ICP functions should be deployed as production platformsto optimize and modernize by enhancing existing processes, and whenthese functions should be actively restructured to enable more differentiatedtransformation and innovation initiatives.B egin building composability capabilities by engaging enterprise technologists andfusion teams to build enterprisewide understanding and support for the ICP journey.By 2027, more than 50% of enterprises will use industry cloud platforms to accelerate their business initiatives, up from less than 15% in 2023.Source: GartnerGartner predicts621Gartner for Information Technology Executives Follow Us on LinkedIn Become a Client Intelligent ApplicationsConsumer or business applications that are augmented with AI and various connected data from transactions and external sources7Intelligent ApplicationsWhy trending?• Generative AI can truly make apps more intelligent — transforming the experience of customers, users, product owners, architects and developers.• Infused with data from transactions and external sources, intelligent applications push insights within apps business users already use, so they won’t need separate business intelligence tools to assess and understand the state of their business.• AI can add predictions or recommendations, instead of more procedural features, allowing apps to be tailored to the user, improving outcomes and advancing data-driven decision making.How to get startedE stablish a center of excellence or similar team to capture, explain, catalog, mapand monitor the breadth and depth of intelligence as a capability for your apps.A ssess how intelligent applications transform the scope, purpose andfunctionality of your enterprise apps.E stablish a clear and shared understanding of intelligent applications and theirpotential use cases throughout your organization.E valuate the impact on your wider portfolio of apps and services as you expandthe range and scope of intelligent applications in the medium to long term.By 2026, 30% of new apps will use AI to drive personalized adaptive user interfaces, up from under 5% today.Source: GartnerGartner predicts722Gartner for Information Technology Executives Follow Us on LinkedIn Become a ClientTop Strategic Technology Trends 202423Gartner for Information Technology Executives Follow Us on LinkedIn Become a Client Democratized Generative AIThe ability to create net new content (images, speech, text and more) and its widespread availability will democratize access to information and skills, making it one of the most disruptive trends of this decade8Democratized Generative AISource: GartnerUsersTechnologyGovernanceBusiness users will have ubiquitous access to knowledge and technical skills that wasn’t possible before, heralding a new wave of productivity.The confluence of cloud and open source will make generative AI more democratized in the future beyond the purview of largetechnology giants.This unfettered access to knowledge and skills must be underpinned by a strong focus on governance and responsible AI practices.Democratized Generative AINew Regulations and Self-GovernanceWorkforce ProductivityEvery Business Will Be an AI BusinessDemocratized Generative AIWhy trending?• Democratizing access to generative AI across the organization offers the potential to automate a broad range of tasks, boosting productivity, reducing costs and offering new opportunities for growth.• It has the ability to transform the way virtually all enterprises compete and do work.• Democratization of information and skills across a broad set of roles and business functions will follow.• Vast sources of information — both internal and external —can be made accessible and available to business users via natural language conversational interfaces.How to get startedC reate a prioritized matrix of generative AI use cases based on technical feasibilityand tangible business value, and clearly outline a time frame for piloting,deployment and production across these use cases.E mploy a change management approach that prioritizes employee training andwell-being by equipping them with the knowledge to use generative AI toolssafely and confidently, while reassuring them on how these tools will be anassistant to them in automating routine tasks.B uild a portfolio of quick wins and differentiating and transformational generative AIuse cases that combine initiatives with hard ROI and those delivering benefits andcompetitive advantage that are difficult to initially quantify directly in financial terms.By 2026, more than 80% of enterprises will have used generative AI APIs, models and/or deployed generative AI-enabled applications in production environments, an increase from fewer than 5% today.Source: GartnerGartner predicts824Gartner for Information Technology Executives Follow Us on LinkedIn Become a ClientTop Strategic Technology Trends 202425Gartner for Information Technology Executives Follow Us on LinkedIn Become a Client Augmented Connected WorkforceA strategy to optimize the value delivered by human staff by establishing a connective tissue that optimizes use of intelligent technology, workforce analytics and skill augmentation to accelerate and scale talent building9Augmented Connected WorkforceWhy trending?• This strategy accelerates new (digital) skills required for work — across all job types.• It provides the opportunity for digital tools to reduce timeto competency for new hires.• Smarter work will be made possible through advancements in workplace automation and AI, requiring the workforceto be increasingly able to manage complex issues.How to get startedP rioritize time to competency for inexperienced workers who perform in highlycomplex environments — quantify results such as faster onboarding.C reate a cross-functional program consisting of leaders from IT, HR, sales,customer service and supply chain; as a group, decide which workforce segmentsto prioritize investment in and which outcomes to pursue.D esign employee experiences that are augmented with intelligent technology.C reate insights and guided recommendations that help employees accomplishwhat would otherwise be impossible within existing constraints of time andcognitive capacity.Through 2027, 25% of CIOs will use augmented connected workforce initiatives to reduce time to competency by 50% for key roles.Source: GartnerGartner predicts926Gartner for Information Technology Executives Follow Us on LinkedIn Become a ClientTop Strategic Technology Trends 202427Gartner for Information Technology Executives Follow Us on LinkedIn Become a Client Machine CustomersNonhuman economic actors that purchase goods and services in exchange for payment10Machine CustomersWhy trending?• For the first time in human history, companies will be able to make their own customers.• By 2028, 15 billion connected products will exist with the potential to behave as customers, with billions more to follow in the coming years.• They will impact trillions of dollars in purchases by 2030 and eventually become more significant than the arrival of digital commerce.How to get startedC reate a Machine Customer Investigation team by enlisting senior representativesfrom strategy, IT, product development, sales, marketing, supply chain and service.C reate one to three scenarios that explore the market opportunities, such as theInternet-of-Things-enabled products that might arise in the situations/activitieswhere customers use your products and services today.S tart architecting the data sources and API platform needed to serve machinecustomers that should not or will not use your human-readable digital storefront.By 2028, machine customers will render 20% of human-readable digital storefronts obsolete.Source: GartnerGartner predicts1028Gartner for Information Technology Executives Follow Us on LinkedIn Become a ClientTop Strategic Technology Trends 2024Next StepsMaking strategic technology decisionsthat drive business goals29Top Strategic Technology Trends 2024Gartner for Information Technology Executives Follow Us on LinkedIn Become a Client 30Technology decisions to make in the next 3 yearsYour next steps will depend on which innovations are most likely to impact your ability to achieve business goals and how soon you can begin to adopt or plan to adopt them.The fictive example below illustrates the rollout of various innovations a CIO might plan to deliver on a stated business outcome .Accelerate digital and become more AI-drivenSample business goal and timelineFor more on how to make strategic technology decisions, see Gartner Strategic Planning Essentials for IT.Explore these additional complimentary resources and tools for IT leaders:Actionable, objective insightAlready a client?Get access to even more resources in your client portal. Log InRoadmap The IT Roadmap for Digital Business TransformationAvoid pitfalls and lead smart, effective digital transformations.Download RoadmapeBook 2024 CIO AgendaDiscover the top priorities CIOs must address in 2024.Download eBook Template Build an IT Strategic PlanTurn strategy into action with this one-page IT strategic planning template.Download Template ToolGartner BuySmart ™Confidently manage the technology life cycle.Request a DemoWhat you’ll get:• Access to 100+ templates covering top technology markets • Predefined, fully customizable checklists and requirements• Collaboration features to support your team’s workflow all in one place • Standardized scoring to build confidence in your vendor selectionStreamline your team’s path to better technologydecisions— fueled by industry-leading Gartner insights.Gartner BuySmart™Confidently manage the technology life cycleLearn More Discover Evaluate Select Optimize。
研发团队 人员配置模型 gartner-概述说明以及解释
研发团队人员配置模型gartner-概述说明以及解释1.引言1.1 概述人员配置模型是指在研发团队中,根据不同的任务和需求,合理分配和配置人员的一种方法或系统。
合理的人员配置对于提高团队的效率、优化资源利用以及实现项目目标至关重要。
在研发过程中,由于不同的项目或任务可能存在不同的技术需求和资源限制,因此需要采取科学有效的方法来配置团队人员,以满足项目的要求并确保项目的成功。
本文将介绍Gartner研发团队人员配置模型,该模型由Gartner公司提出并广泛应用于各类研发组织。
Gartner研发团队人员配置模型基于多年的实践和研究,并结合了行业的最佳实践和专业知识。
该模型通过对任务复杂度、技能需求、团队规模以及人员互操作性等因素的综合考虑,确定了最佳的人员配置方案。
在本文中,我们将详细介绍Gartner研发团队人员配置模型的要点和关键指标,并解释其作用和优势。
同时,我们还将展望人员配置模型在未来的发展趋势,以适应日益变化和复杂的研发环境。
通过阅读本文,读者将对人员配置模型有一个清晰的认识,并了解如何应用该模型来优化研发团队的人员配置,提高工作效率和项目成功率。
同时,本文也将为读者提供一些思考和参考,以帮助他们在实践中更好地应用人员配置模型,促进研发团队的持续改进和发展。
1.2文章结构1.2 文章结构本文主要通过介绍研发团队人员配置模型的定义与重要性,以及Gartner研发团队人员配置模型的介绍,旨在总结人员配置模型的作用与优势,并展望未来的发展趋势。
首先,在引言部分,概述了本文的主题和目的。
随后,在正文部分,将会详细阐述人员配置模型的定义与重要性,以及介绍Gartner研发团队人员配置模型。
在正文的最后,将会有一个结论部分,总结人员配置模型的作用与优势,并对未来的发展趋势进行展望。
整篇文章的结构清晰,逻辑性强。
通过引言部分的概述,读者可以了解文章的主题和目的,为后续内容打下基础。
接下来,在正文部分,将对人员配置模型的定义与重要性进行详细介绍,读者可以了解到为什么人员配置模型在研发团队中十分重要。
gartner报告
gartner报告:科技发展的引领和挑战在当今信息时代,科技正在改变人类生活的方方面面。
每时每刻都有新的科技产品问世,新的技术创新被推出。
作为一家全球知名的IT研究和咨询公司,Gartner每年发布的报告备受广大企业和科技从业者关注。
总结了全球科技市场的现状和趋势,以及未来几年科技发展的方向。
本文将就的一些重要观点进行探讨。
指出,人工智能(AI)将在未来几年持续发展。
AI的应用正日益深入人们的生活。
从智能助手到自动驾驶汽车,AI技术正在不断改变着人们的工作和生活方式。
然而,AI也带来了一些新的挑战,如数据隐私和伦理道德问题。
这些问题需要社会各界共同努力解决,以确保AI的健康发展和应用。
云计算也是中的重点内容。
随着云端技术的成熟和普及,越来越多的企业选择将数据和应用迁移到云端。
报告指出,云计算将继续引领科技行业的发展,并将成为企业数字化转型的重要支撑。
然而,安全性和数据隐私仍是云计算面临的最大挑战。
企业需要加强对云计算环境的安全保护,并合规运营,以确保数据的安全性和隐私性。
物联网(IoT)是另一个在中被认为具有巨大发展潜力的领域。
物联网的概念是将各种设备和物体通过网络连接起来并进行信息交换。
报告预测,到2025年,有超过750亿个物联网设备将连接到互联网。
虽然物联网为人们的生活带来了便利,但同时也带来了一系列的风险,如网络安全和隐私泄露。
在物联网时代,信息安全的保障是至关重要的。
除了以上科技领域的关注点,还对区块链、大数据分析、虚拟现实等新兴技术进行了深入研究。
区块链技术的兴起为数字交易和资产管理带来了一种去中心化的方式,并在金融领域得到广泛应用。
大数据分析则可以帮助企业挖掘数据中的价值,从而提升业务竞争力。
虚拟现实技术为娱乐、教育和医疗等领域带来了全新的体验。
同时也提到了人们对科技红利的不断期待。
科技的快速发展给人们的生活带来了翻天覆地的变化,但与此同时,也有许多人担心科技革命会导致产业结构和就业形势的深刻变革。
高盛人工智能报告中文版
高盛人工智能报告中文版在当今科技飞速发展的时代,人工智能(AI)无疑是最引人瞩目的领域之一。
高盛作为全球知名的金融机构,其对人工智能的研究和洞察具有重要的参考价值。
人工智能正在以惊人的速度改变着我们的生活和工作方式。
从智能手机中的语音助手,到医疗领域的疾病诊断,再到金融市场的风险预测,AI 的应用无处不在。
高盛的报告深入探讨了人工智能在多个行业的影响和潜力。
在制造业,人工智能能够优化生产流程,提高生产效率和产品质量。
通过对大量生产数据的分析,AI 可以精准地预测设备故障,提前进行维护,减少停机时间。
同时,智能机器人的应用也在不断增加,它们能够完成复杂且重复性高的工作,从而解放人力去从事更具创造性和战略性的任务。
金融行业一直是对新技术高度敏感的领域。
在风险管理方面,人工智能可以通过分析海量的市场数据和交易记录,更准确地评估风险,帮助金融机构做出更明智的决策。
在投资领域,AI 驱动的量化投资策略能够快速处理和分析大量信息,发现潜在的投资机会。
此外,人工智能还在客户服务、反欺诈等方面发挥着重要作用。
然而,人工智能的发展也并非一帆风顺。
数据隐私和安全问题一直是公众关注的焦点。
大量个人和企业数据的收集和使用,如果管理不当,可能会导致严重的隐私泄露。
另外,人工智能的决策过程有时缺乏透明度,这可能引发信任危机。
例如,在信贷审批等场景中,如果AI 系统的决策依据不清晰,可能会被认为不公平。
从就业市场的角度来看,人工智能的广泛应用确实会导致一些传统岗位的消失,但同时也会创造出新的就业机会。
例如,AI 的开发、维护和管理需要大量专业人才,同时与 AI 相关的伦理和法律领域也需要新的专业人士。
高盛的报告还指出,人工智能的发展在全球范围内存在不平衡的现象。
一些发达国家在技术研发和应用方面处于领先地位,而一些发展中国家可能由于基础设施和人才短缺等原因,面临着更大的挑战。
但这也为国际合作提供了机会,通过技术转移和人才培养,可以促进全球人工智能的共同发展。
gartner 新兴技术成熟度曲线 标准
Gartner 新兴技术成熟度曲线标准Gartner 新兴技术成熟度曲线标准是 Gartner 公司用来评估新兴技术成熟度和发展趋势的一种分析工具。
作为全球知名的科技研究和沟通公司,Gartner 以其权威性和专业性在业界享有很高的声誉。
其新兴技术成熟度曲线标准一直被视为业内权威,对企业和投资者决策具有重要的指导意义。
1. Gartner 新兴技术成熟度曲线的意义Gartner 新兴技术成熟度曲线标准旨在帮助企业、技术提供商和投资者更好地理解新兴技术的发展趋势和市场前景。
针对不同的新兴技术,Gartner 将其发展阶段分为五个阶段,分别为:萌芽阶段、成长阶段、成熟阶段、成熟度高峰和衰退阶段。
通过对新兴技术在不同阶段的定性和定量分析,帮助相关利益方更科学地制定战略和规划。
2. Gartner 新兴技术成熟度曲线的评估方法Gartner 新兴技术成熟度曲线的评估方法主要基于对技术的市场成熟度、商业模式可行性、技术成熟度、行业应用程度等多个维度的综合评估。
Gartner 将新兴技术的概念、原理和关键特点进行深入解析,对其发展的前景和潜在影响进行客观分析。
结合全球范围内的市场调研数据和案例研究,对新兴技术在不同行业的应用现状进行分析和比较。
通过对新兴技术所涉及的商业模式、技术路线图以及相关市场趋势的研究,对其未来发展趋势进行预测和预估。
3. Gartner 新兴技术成熟度曲线的应用范围Gartner 新兴技术成熟度曲线标准的应用范围非常广泛,涵盖了各个行业和领域。
在企业层面,企业可以借助 Gartner 的新兴技术成熟度曲线标准,对新兴技术进行科学评估,了解其发展阶段和市场前景,从而在技术投资和创新战略上做出明智的决策。
在技术提供商层面,针对自身产品和服务所涉及的新兴技术,可以通过对其成熟度曲线的评估,更好地制定产品规划和市场推广策略。
在投资者层面,投资者可以借助 Gartner 的新兴技术成熟度曲线标准,对创新型企业和新兴技术的投资进行风险评估和收益预估。
入围条件 gartner 技术成熟度曲线
入围条件 gartner 技术成熟度曲线《深度解析Gartner技术成熟度曲线的入围条件》1. 前言在当今快速发展的科技领域,企业需要不断更新和升级自己的技术,以适应市场的变化和客户的需求。
而Gartner技术成熟度曲线作为评估技术成熟度的重要工具,对企业的技术发展起着关键性作用。
本文将从入围条件的角度,深度探讨Gartner技术成熟度曲线,并为读者共享我个人的观点和理解。
2. 了解Gartner技术成熟度曲线在谈论入围条件之前,我们需要先了解Gartner技术成熟度曲线的基本概念。
Gartner技术成熟度曲线是一个描述技术成熟度发展阶段的模型,它由全球知名的科技研究与沟通公司Gartner提出。
该曲线分为五个阶段,包括初级、成长、成熟、成熟下滑和过时。
企业可以通过该曲线来评估自身技术的成熟度,并做出相应的决策和规划。
3. 入围条件在Gartner技术成熟度曲线中,如何才能达到下一个阶段,成为一个备受认可的技术领导者呢?这需要满足一系列严格的入围条件:- 技术成熟度:企业需要在技术上达到一定的成熟度。
这包括拥有先进的技术设备和系统,具备领先的技术研发能力,以及在技术创新方面有所突破。
- 市场认可度:企业的技术在市场上必须获得一定的认可度和市场份额。
只有用户对技术有着良好的口碑和认可,企业才能被认定为技术成熟度高的企业。
- 成熟度转型:企业需要具备一定的成熟度转型能力。
面临市场变化和竞争压力时,企业需要及时调整技术战略和发展方向,适应快速变化的市场需求。
- 组织支持:企业的组织架构和支持也是一个重要的入围条件。
技术的发展需要一个支持其创新和研发的良好组织环境,包括人才、文化、流程等方面的支持。
4. 从简到繁,由浅入深要深入理解Gartner技术成熟度曲线的入围条件,我们需要从简到繁,由浅入深地探讨。
我们可以从每个入围条件的基本概念和要求开始,逐步展开分析。
我们可以结合实际案例,比如著名科技企业的发展历程,来说明这些入围条件的具体应用和意义。
Gartner零信任网络访问市场指南(2020版)
Gartner零信任⽹络访问市场指南(2020版)Gartner建议:安全和风险管理领导⼈应试点ZTNA项⽬以作为SASE(安全访问服务边缘)战略的⼀部分,或迅速扩⼤远程访问。
⽂/柯善学编译数字业务的现实是,它需要随时随地访问任何应⽤程序,⽽不管⽤户及其设备的位置如何。
⽽ZTNA(零信任⽹络访问)恰恰使能了本不适合传统访问⽅法的数字业务转型场景。
尤其是对于那些寻求更灵活、更具响应性的⽅式与数字业务⽣态系统、远程⼯作者、外部合作伙伴进⾏连接和协作的组织,ZTNA再适合不过。
ZTNA削弱了⽹络位置的优势地位,消除了过度的隐式信任,代之以显式的基于⾝份的信任。
从某种意义上说,ZTNA创建了个性化的“虚拟边界”,该边界仅包含⽤户、设备、应⽤程序。
ZTNA还规范了⽤户体验,消除了在与不在企业⽹络中所存在的访问差异。
最关键的是,它还将横向移动的能⼒降到最低。
Gartner旗帜鲜明地建议:安全和风险管理领导⼈应试点ZTNA项⽬以作为SASE(安全访问服务边缘)战略的⼀部分,或迅速扩⼤远程访问。
同时也指出:尽管VPN替换是ZTNA采⽤的⼀个常见驱动因素,但ZTNA很少能完全替换VPN。
2020版指南延续了2019版市场指南中关于ZTNA产品的实现⽅式(端点启动和服务启动)和ZTNA产品市场的分类⽅式(即服务产品和独⽴产品)。
虽然Gartner报告⼀贯前瞻,但该指南也罗列了⼀些务实的做法,即在零信任架构还⽆法全⾯实现的情况下,如何使⽤现⽤技术提升安全性。
这样的技术包括:传统VPN、DMZ、PAM、WAF、虚拟桌⾯、远程浏览器隔离、CDN、API⽹关。
可参见本⽂“ZTNA备选⽅案”⼩节。
综合该指南中“市场建议”和“评估因素”章节内容,可以看出:为了构建⼀套基于零信任的完整⾝份访问安全体系,应聚合⼈员、设备、程序等主体的数字⾝份、认证因素和IT服务资源属性、环境属性、数据资源安全属性等数据,结合访问控制策略数据,形成统⼀⾝份数据视图;应⾯向云、⼤数据平台、应⽤系统的服务与资源,建⽴基于资源属性的数字⾝份统⼀授权管控策略,实现⼈机交互、系统间互访的统⼀授权管理,以及基于零信任的细颗粒度访问控制;应集成多因素⾝份认证(MFA),⽀撑⾼强度⾝份认证;应集成⽤户⾏为分析(UEBA),⽀撑对异常⾏为的发现与处置。
预测未来的IT战略发展趋势
Gartner Symposium/ITxpo 技术峰会正在 Orlando 举行,和往常一样,他们的 IT 专家已经分析出下一年信息技术的发展趋势的10个方向,战略性技术趋势早已被定义为对组织有着重要影响力的一个成分。
下面一起来看看这些趋势的大体内容。
1. 无处不在的计算机信息处理技术鉴于智能手机技术的持续进步,Gartner 评估认为,在不同的环境中强调根据移动用户的需求增长来做出改变,而不是只专注于单独的设备。
Gartner 假设智能手机和可穿戴设备作为计算机信息处理技术的不可或缺的一部分,可以将它们连接到工作场所和公共场所,以扩大参与进来的用户人群。
2. 先进的、无形的分析将无处不在分析还是会和往常一样走在时代的前沿,由于 IoT 和嵌入式设备的发展趋势是促使高效的分析产生的源泉。
内部和外部组织将继续生成大量的结构化和非结构化数据。
Gartner 指出每一个App都需要一个分析性的App来协助运转。
而分析同样包括大范围的问题和大范围的答案,并且,这些大问题和大答案要比大数据重要得多。
3教育的在线学习随着互联网的不断普及和发展,网络在线学习也成为了未来教育的一个发展趋势。
特别是当今IT教育的热门走红,萌发了一批以扣丁学堂为代表的IT在线教育平台。
在线教育既节约了教育成本,也颠覆了传统教育的低效率学习方法。
它也将成为引领未来教育的一个方向碑。
4. 软件定义架构和应用程序一切从应用到基础设施的敏捷编程对于企业能够提供数字业务工作所需的灵活性来说是必不可少的。
软件定义的网络、存储、数据中心和安全性日趋完善。
云服务通过应用程序编程接口(API)调用配置,应用程序拥有丰富的API编程方式来访问它们的功能和内容。
为了应对数字化业务的迅速变化的需求,计算有摆脱静态到动态模式的必要。
规则、模式和代码可以动态通过应用程序装配和配置网络和应用需要的所有元素。
9. 网络规模IT网络规模IT,是大型云服务供应商为企业IT环境内提供世界一流的计算的模式。
Gartner 路遥方知马力
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gartner曲线 方法论
gartner曲线方法论gartner曲线是一种描绘技术成熟度和市场应用情况的曲线,由Gartner 公司于1995年提出。
该曲线将技术的发展和成熟分为五个阶段:创新期、泡沫期、幻灭期、成熟期和稳定期。
这一方法论旨在帮助企业和投资者更好地把握技术发展趋势,以便做出明智的投资决策。
在gartner曲线中,创新期是指新技术的诞生和初步应用阶段,此时技术尚不成熟,但具有巨大的潜力。
泡沫期是技术快速发展、市场热情高涨的阶段,但由于技术不成熟和市场需求不足,这一阶段往往会出现过度投资和资源浪费。
幻灭期是泡沫破灭后,市场对技术前景产生担忧的阶段。
成熟期是技术逐渐成熟、市场逐步扩大的阶段,此时投资回报开始显现。
稳定期则是技术成熟、市场饱和的阶段,投资回报逐渐稳定。
gartner曲线在以下场景中有广泛应用:科技投资决策、新产品研发、市场战略规划等。
通过观察和分析曲线,企业和投资者可以了解某一技术的发展阶段和市场前景,从而制定合适的投资策略。
然而,gartner曲线也存在一定的局限性。
首先,曲线的准确性依赖于分析师对技术的理解和预测能力。
其次,gartner曲线只能反映技术发展的大致趋势,无法预测具体的技术突破。
针对这些局限性,企业和投资者应结合其他方法和数据,如市场调查、专利分析等,以提高投资决策的准确性。
在我国,gartner曲线的方法论已经得到了广泛应用。
政府和企业利用这一方法论分析国内外技术发展趋势,加大科技投入,推动产业升级。
同时,gartner曲线也为我国科技产业发展提供了有益的启示:一是要加强科技基础设施建设,二是要注重人才培养和引进,三是要深化产学研合作,四是要发挥政府引导作用,五是要加强国际交流与合作。
总之,gartner曲线作为一种有效的技术分析方法,可以帮助企业和投资者把握科技发展趋势,制定投资策略。
然而,在实际应用中,还需结合其他方法和数据,以提高投资决策的准确性。
gartner报告
gartner报告:了解未来趋势,引领未来发展2006年,美国市场研究公司Gartner Inc.发布了一份报告,称其研究团队所观察到的10个主流IT领域的未来发展趋势,以及应对这些趋势的长期策略。
这份报告不仅为全球IT新兴行业和科技爱好者提供了有价值的参考,更彰显了Gartner在市场研究中的权威性和预测未来的准确性。
首先是可扩展性,该观点指出未来网络架构将由应用和服务组成,而不是硬件和网络分层。
这意味着企业需要为网络应用程序和服务提供相应的支持,以确保其可扩展性。
然后是虚拟化,这指的是将一台物理服务器分成多台虚拟服务器的技术,这有助于企业降低成本和提高效率。
Gartner强调,通过采用虚拟化,企业能够获得可扩展性和灵活性,并在物理服务器故障时保持高可用性。
再者是服务导向的架构(SOA),这一设计思想将企业应用程序组织成服务,并将服务以组件方式公开。
通过采用SOA,企业可以更加灵活地管理和协调不同的应用程序。
随后的重点是Web2.0,这个术语后来被广泛应用,指的是人们通过社交媒体等互联网应用程序形成的一种协作和互动方式。
在Gartner的观点中,Web2.0将带来商业机会和社会变革,而企业需要利用这些机会才能保持竞争优势。
最后是SaaS模型,Gartner指出,SaaS将成为云计算时代的核心,在该模型下,应用程序以服务的形式交付,并由云服务提供商做出升级和维护。
这种模型为企业提供了更好的可扩展性和弹性,同时帮助企业降低投资成本。
随着这些技术的发展,企业对于人才的需求也发生了变化。
Gartner预测,未来需求最大的职业将是分析师和技术架构师,他们将需要熟悉不同的技术并能够了解如何将它们转化为业务价值。
此外,随着数字环境的扩大和数字媒体技术的进步,数字化技能将变得越来越重要。
Gartner的报告也强调了数字技能的重要性,并呼吁企业在招聘和培养人才时加强这方面的投入。
总的来说,Gartner的报告为IT领域的未来趋势提供了深入的分析和预测,可以帮助企业了解如何应对这些变化并为未来做好规划。
gartner曲线划分依据
gartner曲线划分依据
Gartner曲线是由Gartner公司提出的一种图形模型,用于描述和分析新兴技术的成熟度和采用情况。
它将技术分为五个阶段:创新者、早期采用者、早期大多数、晚期大多数和后来者。
这个划分依据基于以下几个方面:
1. 技术成熟度,Gartner曲线根据技术的成熟度将其分为不同阶段。
创新者阶段是指技术处于初期研究和开发阶段,还没有广泛应用。
随着时间的推移,技术逐渐发展成为早期采用者阶段,然后是早期大多数、晚期大多数和后来者阶段,最终成为成熟的技术。
2. 采用速度,Gartner曲线也考虑了技术的采用速度。
创新者和早期采用者是技术采用的先行者,他们愿意冒险尝试新技术。
早期大多数和晚期大多数是技术采用的主体群体,他们在技术成熟度和实用性方面更加注重。
后来者则是相对较晚才开始采用技术的群体。
3. 影响力,Gartner曲线还考虑了技术的影响力和市场潜力。
创新者阶段的技术可能具有巨大的潜力,但尚未在市场上产生广泛影响。
随着技术逐渐成熟,它可能会在早期采用者和早期大多数阶
段获得更大的市场份额和影响力。
4. 风险和挑战,Gartner曲线还考虑了技术采用过程中的风险和挑战。
创新者和早期采用者面临更多的不确定性和风险,因为技术尚未经过广泛验证。
随着技术成熟度的提高,风险和挑战逐渐减少,更多的组织和个人愿意采用这些技术。
总的来说,Gartner曲线的划分依据是技术的成熟度、采用速度、影响力以及风险和挑战。
这种划分模型可以帮助人们了解和评估新兴技术的发展和应用情况,对于决策者和企业来说具有重要的参考价值。
gartner曲线 方法论
gartner曲线方法论【1.gartner曲线简介】Gartner曲线,又称Gartner技术成熟度曲线,是一种描绘技术发展趋势的图形工具。
它由Gartner公司创建,用于帮助企业和投资者了解新技术的发展阶段和商业化程度。
Gartner曲线将技术的发展过程分为五个阶段:创新触发期、期望膨胀期、泡沫破裂期、生产成熟期和稳定应用期。
【2.gartner曲线的主要组成部分】Gartner曲线的主要组成部分包括:1)创新触发期:新技术开始出现,引起关注,但实际应用尚不成熟。
2)期望膨胀期:新技术逐渐被市场接受,预期过高,可能导致泡沫产生。
3)泡沫破裂期:市场回归理性,部分企业退出,技术创新逐步与实际应用结合。
4)生产成熟期:技术逐渐成熟,市场逐渐扩大,产业化程度提高。
5)稳定应用期:技术成熟,市场稳定,广泛应用于各个领域。
【3.如何应用gartner曲线进行分析】应用Gartner曲线进行分析时,可以通过以下几个步骤:1)确定所分析技术所处的阶段:根据技术的发展特点,判断其处于Gartner曲线的哪个阶段。
2)评估市场趋势:分析当前市场规模、竞争态势、政策环境等因素,了解技术的发展前景。
3)分析风险与机会:在Gartner曲线上,不同阶段的技术面临的风险和机会有所不同,企业需要根据自身情况做好应对策略。
4)制定战略规划:根据Gartner曲线预测技术发展趋势,制定相应的投资和发展战略。
【4.gartner曲线的实际应用案例】以人工智能技术为例,我们可以将其应用于Gartner曲线分析。
目前,人工智能技术正处于期望膨胀期,市场规模不断扩大,投资热度持续上升。
然而,随着技术的深入发展,未来可能出现泡沫破裂期,部分企业将面临风险。
因此,企业在发展人工智能技术时,应关注市场动态,合理评估风险与机会,制定长期战略规划。
【5.总结与展望】Gartner曲线作为一种分析技术发展趋势的有效工具,可以帮助企业和投资者更好地把握市场动态,制定合适的战略。
gartner 引用 用声明
gartner 引用用声明Gartner 是全球领先的信息技术研究和顾问公司,提供各种关于IT行业趋势、新兴技术、市场动态和竞争分析的见解。
如果你想在文章或报告中引用Gartner的数据或观点,你可以使用以下格式:1. 直接引用:```csharpAccording to Gartner, "By 2025, AI-driven creation of "virtual" employees will supplement or replace up to 12% of the global workforce."[1]```2. 间接引用:```sqlGartner predicts that by 2025, AI-driven creation of "virtual" employees will supplement or replace up to 12% of the global workforce.```3. 引用报告:如果你引用的内容来自Gartner的某个特定报告,你应该提供报告的完整名称、发布日期以及页码或段落号。
例如:```phpAccording to Gartner's "Hype Cycle for Emerging Technologies, 2023", AI-driven creation of "virtual" employees will supplement or replace up to 12% of the global workforce by 2025.[2]```注意:确保引用的数据或观点来自Gartner的官方报告或公认的研究,避免引用来源不明或非官方的内容。
同时,使用正确的引用格式,根据你所在领域或学术机构的规定来引用。
入围条件 gartner 技术成熟度曲线
入围条件gartner 技术成熟度曲线
摘要:
1.Gartner 技术成熟度曲线的概念和作用
2.入围条件对技术成熟度曲线的影响
3.如何利用入围条件评估技术成熟度曲线
正文:
Gartner 技术成熟度曲线是Gartner 公司每年发布的一项研究成果,它通过对各种新兴技术的成熟度和发展趋势进行分析,帮助企业和组织了解这些技术的发展状态,以便做出更好的投资和决策。
技术成熟度曲线将技术分为五个阶段:创新触发期、期望膨胀期、泡沫破裂低谷期、稳步爬升恢复期和生产成熟期。
入围条件对技术成熟度曲线的影响主要体现在两个方面。
首先,入围条件会影响技术成熟度曲线的形状。
在创新触发期,某些技术可能因为满足了特定的入围条件,得以迅速发展和成熟,使得这些技术在成熟度曲线上的位置提前。
其次,入围条件也会影响技术成熟度曲线的峰值。
在期望膨胀期,某些技术可能因为满足了更多的入围条件,使得其发展势头更猛,从而在成熟度曲线上形成更高的峰值。
如何利用入围条件评估技术成熟度曲线呢?首先,我们需要了解入围条件的具体内容。
这些条件可能包括技术的实用性、经济效益、社会影响等。
然后,我们可以根据这些条件对技术进行评估,判断其是否满足入围条件,从而确定其在成熟度曲线上的位置。
元宇宙gartner曲线
元宇宙Gartner曲线一、什么是元宇宙?元宇宙(Metaverse)是一个虚拟的世界,由计算机生成的三维图形和现实世界的数据相结合,创造了一个与现实世界平行存在的虚拟空间。
在元宇宙中,人们可以使用虚拟现实(VR)、增强现实(AR)和混合现实(MR)等技术与其他用户进行交互,并进行各种活动,如社交、商务、娱乐等。
元宇宙是一个全新的数字化空间,它具有无限的潜力和可能性。
人们可以在其中创建和探索虚拟的世界,与其他用户进行实时的互动,并参与各种虚拟体验。
元宇宙的概念源自科幻作品,如《黑客帝国》和《头号玩家》,如今已经成为了现实。
二、Gartner曲线Gartner曲线是由全球知名研究与咨询公司Gartner Inc.所制定的一种分析工具,用于评估新兴技术的发展与成熟度。
Gartner曲线将新兴技术分为不同的阶段,包括技术观察、峰值炒作、失望与洗牌、成熟与应用等阶段。
这个曲线帮助人们了解新兴技术的发展趋势和潜力。
在元宇宙领域,Gartner曲线可以用来评估元宇宙技术的发展情况和应用成熟度。
它帮助人们了解元宇宙技术的现状,并预测未来几年的发展趋势。
通过Gartner曲线,人们可以了解到元宇宙技术的成熟度和商业化进展,以及投资和应用元宇宙技术的时机。
三、元宇宙Gartner曲线的阶段1.技术观察阶段(Technology Trigger):元宇宙技术在这个阶段被发现并开始引起人们的关注。
在这个阶段,技术还不够成熟,但已经有一些早期的采用者开始尝试和探索元宇宙技术的潜力。
2.峰值炒作阶段(Peak of Inflated Expectations):在这个阶段,元宇宙技术引起了广泛的炒作和关注。
媒体和市场开始过度夸大元宇宙技术的潜力和影响。
但实际上,技术仍然存在许多挑战和限制。
3.失望与洗牌阶段(Trough of Disillusionment):在峰值炒作之后,人们开始对元宇宙技术感到失望。
一些早期的应用和商业模式失败,投资者开始对元宇宙技术的前景产生怀疑。
gartner 低代码魔力象限
gartner 低代码魔力象限低代码魔力象限:提升企业数字化转型的利器随着数字化转型的加速推进,企业对于高效、灵活的软件开发和应用成为迫切需求。
然而,传统的软件开发过程通常耗时且复杂,使得企业难以快速响应市场变化和满足用户需求。
在这样的背景下,低代码开发平台应运而生。
根据Gartner的最新研究报告,低代码开发平台被归类为“低代码魔力象限”,成为企业数字化转型的利器。
这一象限将低代码开发平台分为四个象限:领导者、挑战者、追随者和婴儿象限。
这些象限基于平台的完备性、创新性、市场表现以及客户满意度等指标进行评估。
领导者象限的低代码开发平台拥有强大的开发工具和功能,能够满足企业复杂的软件开发需求。
这些平台具备丰富的集成能力,可以与现有的技术基础设施和系统进行无缝对接。
同时,领导者象限的平台还提供了高度可定制的用户界面和丰富的应用模板,使得企业能够快速构建和部署应用程序。
挑战者象限的低代码开发平台在功能和创新性方面与领导者相当,但在市场份额和客户满意度上有一定差距。
这些平台通常较新,但具有很高的潜力和增长空间。
企业可以选择挑战者象限的平台,以获取更具竞争力的解决方案和更好的支持。
追随者象限的低代码开发平台在功能和创新性上相对较弱,市场份额和客户满意度也较低。
这些平台通常是后来者,还需要进一步改进和发展。
企业在选择追随者象限的平台时需要谨慎考虑,权衡平台的成熟度和可靠性。
婴儿象限的低代码开发平台是刚刚进入市场的新产品,具有巨大的潜力,但还需要时间来验证其实际效果和可行性。
企业可以关注婴儿象限的平台,以获取新的创新解决方案和竞争优势。
低代码开发平台的出现,使得企业能够以更快的速度开发和部署应用程序,提高了数字化转型的效率和成功率。
通过可视化的开发界面和预置的组件库,开发人员无需编写大量的代码,只需通过拖拽和配置即可完成应用程序的搭建。
这极大地降低了开发的复杂性和技术门槛,使得更多的人能够参与到软件开发中来。
简述诺兰模型的意义
简述诺兰模型的意义诺兰模型是一种用于分析和评估公司绩效的工具,它以经济学家迈克尔·诺兰(Michael C. Nolan)的名字命名。
这个模型通过四个关键绩效指标,即财务、顾客、过程和学习与成长,帮助企业全面了解和评估其绩效状况,为企业管理和决策提供指导。
财务绩效是诺兰模型中的第一个指标。
它通过分析公司的财务数据,如利润、销售额、成本、市场份额等,来评估公司的财务表现。
财务绩效的好坏直接关系到企业的盈利能力和持续发展能力,是企业是否能够吸引投资者和获得融资的重要标志。
顾客绩效是诺兰模型中的第二个指标。
它关注的是企业与顾客之间的关系,通过调查和分析市场份额、顾客满意度、顾客忠诚度等指标,来评估企业在市场中的竞争力和顾客对企业的认可程度。
顾客绩效的好坏直接影响企业的市场地位和品牌形象,对企业的长期发展至关重要。
第三,过程绩效是诺兰模型中的第三个指标。
它关注的是企业的内部运营过程,通过分析生产效率、产品质量、交货周期等指标,来评估企业的运营效率和管理水平。
过程绩效的好坏直接影响企业的生产效率和成本控制能力,对企业的竞争力和盈利能力具有重要影响。
学习与成长绩效是诺兰模型中的第四个指标。
它关注的是企业的学习和创新能力,通过分析员工培训、研发投入、技术创新等指标,来评估企业的学习和创新能力。
学习与成长绩效的好坏直接关系到企业的竞争力和可持续发展能力,对企业适应市场变化和推动业务创新至关重要。
诺兰模型的意义在于它提供了一个系统化的方法,全面评估企业的绩效状况。
通过这四个关键绩效指标的分析,企业可以了解自己在财务、顾客、过程和学习与成长方面的表现,发现问题和机遇,制定相应的管理策略和改进计划。
同时,诺兰模型也帮助企业建立了一个绩效评估的框架,使得企业的绩效评估更加客观、科学和可比较。
在实际应用中,诺兰模型可以帮助企业管理层更好地了解和把握企业的整体状况。
通过对财务绩效的分析,管理层可以了解企业的盈利能力和财务风险,制定合理的财务目标和经营策略。
Gartner:年及以后IT组织和用户十大趋势预测
Gartner:2021年及以后IT组织和用户十大趋势预测图片来源@视觉中国 |全球领先的信息技术研究和顾问公司球领先的信息技术研究和顾问公司G a r t ne r公布了2021年及以后的重要战略趋势预测。
G a r t n er所发布的十大趋势预测探讨了技术在重组、重启和应对不确定性方面的作用。
G a rt ne r杰出研究副总裁兼院士级分析师Da r yl P l um m er表示:“技术正在逼近极限,传统计算也在四处碰壁。
全球正在以前所未有的速度发展,技术和流程需要能够满足数字化创新的需求,这一点至关重要。
从现在开始,非传统技术方法将引领未来十年的重大创新。
“引领‘万物重组’的未来技术具有三个关键共性:促进企业的创新和效率、比正在被它们替代的技术更有效以及对社会产生革命性的影响。
”到2024年,25%的传统大型企业首席信息官对数字化业务运营结果负责,他们实际上将成为“代理首席运营官”。
首席运营官了解业务及其业务所在的生态系统,是成功实现数字化的重要环节,会在数字企业中的地位正在不断提高。
而首席信息官深入了解能够促进业务影响的技术,他们可以通过承担首席运营官的部分职责来融合技术和业务目标,从而提高企业效率。
P l um m er先生认为:“随着越来越多的首席信息官开始对企业的数字化业绩负责,全球将掀起一股在高度数字化的传统业务中由首席信息官向首席执行官汇报的潮流。
”到2025年,工作中75%的对话场景会被记录和分析,挖掘出新的企业机构价值或风险。
工作会话正在从传统的实时、面对面交流转变为通过云会议解决方案、消息发送平台和虚拟助手进行。
在大多数情况下,此类工具会保留这些会话的电子记录。
工作会话分析不但能够帮助企业遵守现有的法律和法规,还可以帮助企业预测未来的表现和行为。
随着所使用的数字化监视技术日益增加,将隐私权放在首位的道德考量和行动将变得至关重要。
到2025年,传统的计算技术将遭遇数字瓶颈,迫使企业机构转向神经形态计算等新范例。
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Gartner Top End User Predictions for 2010: Coping with the New Balance of PowerSummary ReportTop End User Predictions for 2010By 2012, 20% of businesses will own no IT assets.By 2012, India-centric IT service companies will represent 20% of the leading cloud aggregators in the market.By 2012, Facebook will become the hub for social networks integrationand Web socialization.By 2014, most IT business cases will include carbon remediation costs.In 2012, 60% of a new PC’s total life greenhouse gas emissions will have occurred before the user first turns the machine on.Internet marketing will be regulated by 2015, controlling more than $250 billion in Internet marketing spending worldwide.By 2014, more than three billion of the world’s adult population will be able to transact electronically via mobile and Internet technology.By 2015, context will be as influential to mobile consumer services and relationships as search engines are to the Web.By 2013, mobile phones will overtake PCs as the most common Web access device worldwide.This is a summary review of Gartner’s Predicts 2010 Special Report, which focuses on the new balance emerging in IT asorganizations worldwide shift from a cost containment mode and prepare for a return to economic growth. Previous assumptions about revenue flows and ownership will continue to be challenged as a new balance between supply, consumer demand and regulation emerges.Our predictions for 2010 reflect the extent to which IT has extended beyond the confines of business to become intrinsic to every aspect of society.For example: C loud computing, which abounds with opportunities to shift IT resources outside the enterprise, help boost liquidity and rebalance short and longer term financial commitments.G reen IT, which will play a significant role in companies’ efforts to reduce their carbon footprint in response to global climate changes attributed to greenhouse gases.G lobalization and the potential impact of regulation—both national and international—on the way organizations exploit the Internet for marketing communications and demand generation.T he democratization of IT, which drives change in the way organizations relate to their customers and users.M obile devices and context-aware computing, which will enable the growth of huge new markets, particularly in third-world countries.This report is a summary of a more-comprehensive research document available only to Gartner’s end-user clients.The full report includes: N ine end-user-specific predictionsKey findings that led our analysts to develop their predictionsT he full range of market implications that each prediction will spurA ctionable recommendations for each prediction that industry IT leaders should considerR elated research to help you tackle your key initiatives in 2010••••••••••Related research:“Forecast: Sizing the Cloud; Understanding the Opportunities in Cloud Services” G0*******“Economic Factors Accelerate Employees’ Use of Personally Owned Equipment” G0*******“The Impact of Cloud Computing on Sourcing Strategy Models” G0*******“Cloud-Enabled Outsourcing: New Ideas for Effective Governance and Management” G0*******“Service Value Chains Will Be at the Heart of Cloud Services” G0*******“SuccessfulOutsourcing Strategy Requires a Clear View of Future Market Disruption” G0*******By 2012, 20% of businesses will own no IT assets.Market implications: W hile the need for computing hardware will not go away, the shift of actual ownership of it will reverberate throughout every facet of the IT hardware industry. — F or example, enterprise IT budgets either will shrink or—in more enlightened organizations—be re-allocated to more strategic projects. IT staffers, and hardware specialists in particular, will face layoffs or will need to be retrained to meet other requirements. Laid-off hardware specialists find themselves chasing a declining job pool.H ardware distribution will have to change radically to meet the requirements of the new IT hardware buying points such as cloud services providers, vertical application value-added retailers (VARs), server farm maintenance organizations as well as end users for PCs, notebooks and handheld communications devices. This, in turn, will mean that hardware OEM sales strategies must adapt to meet the requirements of the new buyers.Enterprise sales of servers will become a shrinking part of overall share. Low-margin, bare metal sales will increase.T urn-key solutions will become increasingly important for traditional enterprise customers.P C sales will shift toward end-user, personal buyers. The employee purchases may be out-of-pocket from consumer channels or from employer-subsidized plans.By 2012, India-centric IT service companies will represent 20% of the leading cloud aggregators in the market (through cloud service offerings).Market implications:As cloud computing continues to emerge as a disruptive force, organizations will want to assess its potential for their organizations. This change in the market will help CIOs and business unit heads understand and delineate the vendors, IT services, software and infrastructure components.M any Indian vendors have used transparency as a way to build the confidence of Western buyers in foreign IT service providers. Thus, if India-centric providers play a substantial role in developing cloud service offerings, CIOs and business unit leaders will embrace this transparency to an even greater extent.T he R&D efforts of Indian vendors will speed development of cloud-based solutions from all types of IT providers, which will create more choice and more competition in the market. Over time, it will result in deeper, higher-quality offerings. These new offerings, in turn, will accelerate the transition from traditional to industrial offerings and the growth of utility and cloud-based services.B uyers—business unit teams and IT organizations—will be forced to separate unique business process areas that truly drive competitive advantage from those that simply deliver competitive parity. Organizations that can appropriately adopt newer utility and cloud-based offerings in select areas of their enterprises—with a heavy dose of strong risk management skills—will gain an important advantage within their industries.•••••••••By 2012, Facebook will become the hub for social networks integration and Web socialization.Market implications: T he number of active users on Facebook—already the largest social network community—isexpected to rocket to more than a billion by the end of 2010. More than 15,000 websites, devices and applications have implemented the Facebook Connect APIs and protocols to interface with Facebook. This interoperability will become critical to the success and survival of other social networks, communication channels and media sites.F acebook is simply too big for firms not to factor it into their B2C strategies. Its potential for advertising, communication, marketing and client support is huge. That said, there are two aspects of the Facebook phenomenon that organization should track carefully. They include: — P rivacy issues , which will only get thornier as Facebook’s role in integration with other websites andnetworks increases. — T he possible disruptive influence from the Far East, specifically QQ in China, which could outstripFacebook should the Chinese government allow it to compete on the open market. While this is an unlikely scenario, it remains a possibility and will be tracked closely by Gartner throughout 2010.By 2014, most IT business cases will include carbon remediation costs.Market implications: I ncorporating carbon costs into business cases will help provide organizations with a measure of savings, as well as help prepare organizations for increased scrutiny of their carbon impact.E nergy savings aside, the link between carbon dioxide (C02) emissions and climate change is widely accepted by politicians and mainstream media in developed economies. Therefore, policies are emerging that will penalize companies for CO2 emissions. These penalties could easily range of between $10 and $50 per ton of CO2 emitted. Incorporating carbon analysis gives a manager the ability to better understand the impact of policy changes on the business.I n practical terms, carbon costs shadow energy costs, requiring the addition of an emissions factor (carbon emissions per kWh) and a projected cost of carbon remediation. Therefore, updating the spreadsheets is a moderately simple task. As carbon emissions are a global issue, we expect most organizations to include carbon costs in IT business cases by 2014.•••••Related research:“Lessons fromFacebook: Five Tips to Help Control Your Content” G0*******“Facebook and the Emerging Social Platform Wars” G0*******“Dataquest SWOT: Facebook,Worldwide, 2008” G0*******“Hype Cycle for Data Center Power and CoolingTechnologies, 2009” G0*******“How to Prioritize Green IT Projects in an Economically Constrained World” G0*******In 2012, 60% of a new PC’s total life greenhouse gas emissions will have occurred before the user first turns the machine on.Market implications: D ue to the complex nature of PC production, 80% of the energy a PC consumes during its lifetime occurs during production and transport.P C upgrading, which can delay the need to purchase new PCs, has long been suggested as an effective strategy for reducing the environmental impact.I n an environmentally ideal world, PCs would be more modular and robust, allowing them to be upgraded to extend life. Due to the obvious implications on demand, the industry has not pursued upgrading as a strategy. As usage-related CO2 emissions grow, PC manufacturers and vendors can expect pressure to deliver more modular, upgradable PCs.H ow manufacturers, vendors and PC users will need to respond to this growing trend will be a focus of Gartner research during the coming year.Internet marketing will be regulated by 2015, controlling more than $250 billion in Internet marketing spending worldwide.Market implications: T he potential backlash from consumers on Internet marketing cannot be underestimated.Eventually marketers WILL abuse the Internet channel and annoy customers enough to generate an outcry strong enough to push legislation regulating Internet marketing activity. Consequences will include: — T hat companies focusing primarily on the Internet for marketing purposes could find themselvesunable to market effectively to customers, putting themselves at a competitive disadvantage. — V endors that focus solely or predominately on producing Internet marketing could find themselvesfaced with a declining market, as companies shift marketing funds to other channels to compensate.•••••Related research:“IT Vendors, Service Providers and Users Can Lighten IT’sEnvironmental Footprint” G0*******“Forecast:IT Hardware EnergyConsumption, Worldwide, 2005-2012” G0*******“Dataquest Insight: IT Providers Must Build Sustainability Into The Core of Their Strategy” G0*******“Generation Virtual: Sell to theOnline Persona, Not the Person” G0*******“The Business Impact of Social Computing on CRM” G0*******“The Business Impact of Social Computing on Marketing and‘Generation Virtual’” G0*******Gartner will monitor and evaluate trends in this arena closely and offer strategies for both advertisers and Internet marketing firms that can help delay or avoid the pitfalls that lie ahead.Gartner will track and analyze the intricacies of these interlocking trends throughout 2010.By 2014, more than three billion of the world’s adult population will be able to transact electronically via mobile and Internet technology.Market implications: T wo trends are merging that will drastically alter the future of the world’s trading economy: — T he rapid rise of mobile and Internet technology adoption in emerging economies. — A dvances in mobile payment, commerce and banking.T ogether they will open the way for a significant portion of the world’s adult population to transact electronically. For many of these newly enfranchised consumers from emerging economies, the ability to use short message service (SMS), e-mail or payment accounts will constitute their first and only access to the estimated $1 trillion global economy.F or global firms such as Coca Cola and Carrefour, it will provide electronic reach and the ability to transact with a significant majority of adults on the planet.F or entities such as eBay, TaoBao or Craigslist, it will open a huge opportunity for consumer-to-consumer transactions.F or mobile operators, Internet companies and financial institutions, it will open vast new markets for the provision of transactional and funds transfer capabilities.By 2015, context will be as influential to mobile consumer services and relationships as search engines are to the Web.Market implications: C ontext-aware computing will have a transformation, disruptive effect on business—particularly for retailers, financial services, media, healthcare, and telecom firmsT he most powerful position in the context business model will be the context provider. We expect firms like Google, Nokia, Apple, Microsoft, and communication service providers to lead the way in creating these services, platforms and business ecosystems.A lliances will be key, since many organizations have part of the technical or commercial foundations for context, but no vendor as yet has them all. — F or example, an alliance between a network operator and a social network—where the formercould provide location and billing and the latter brings customers, developers and some software tools—could yield a strong competitive position••••••••Related research:“Dataquest Insight: Mobile Payment, 2007-2012” G0*******“Rethinking Commerce inEmerging Economies” G0*******“How to Get Started With an Enterprise Mobile Retail Financial Services Approach” G0*******“Developing a Mobile RetailBusiness-to-Consumer Strategy” G0*******“Context-Aware Computing:A logical model for context providers” G0*******“Context-AwareComputing: It’s time to carefully choose your vendors” G0*******By 2013, mobile phones will overtake PCs as the most common Web access device worldwide.According to Gartner estimates: T he total number of PCs in use will reach 1.62 billion units in 2012, all of which are capable of Internet access, even if some are not connected.B y 2012, the combined installed base of smartphones and browser-equipped enhanced phones will exceed 1.69 billion units. From 2012 onwards, this combined installed base will be greater than the installed base for PCs. Nevertheless, most users in 2012 will use a PC as their primary Web access device and their phone as a secondary access device. However, as use of smartphones spreads globally, they will overtake the PC as the most common primary device for Web access sometime in 2015.This shift means that many websites will need to be reformatted or rebuilt. Mobile device users typically make many fewer “clicks” on a website than PC users, and websites not optimized for smaller screen formats will risk reduced customer interaction and fewer transactions. This market barrier will be of particularly concern to:Organizations in geographies where the PC is not as prevalent.O rganizations with consumer-facing websites.I nformational portals used by educational institutions and the government sector.Online retailers, banks and financial service providers will be the most exposed to this risk.Learn moreInterested in finding out more about Gartner Predictions for 2010 or other valuable insight to help drive the success of all your key initiatives?Visit /predicts or e-mail thoughtleadership@.•••••Related research:“Forecast: PC Installed Base, Worldwide, 2005-2014,October 2009 Update” G0*******“Forecast:Smartphones byOperating System and End User Segment, Worldwide, 2007-2013” G0*******“Magic Quadrant for Mobile Consumer Application Platforms” G0*******。