Workday 非营利人工智能创新

Advancing your operationalfoundation to supportyour mission. Table of Contents Introduction Engaging Experiences Touchless Automation AI-Assisted Insights and Recommendations Delivering AI Responsibly Innovation Doesn’t Stop Here Introduction. For nonprofits, the integration of AI has brought significantadvancements. From grant writing, to donor prospectingand communication, to appointments booked or questionsanswered through chat, AI plays a pivotal role in streamliningtasks and alleviating the time-consuming administrativeburdens that many nonprofit workers face as they wear “manyhats” for their organizations. While the specific technologies areoften invisible to end users, they enable us to accomplish farmore than we could before—with more agility, and with a muchbetter experience. These innovations are possible because Workday is built on a true-cloudarchitecture and uses an intelligent data core to avoid the data silos and rigidprocesses of legacy enterprise resource planning (ERP) systems. Unlike withcompeting vendors, AI is naturally embedded into our technology platform anddevelopment philosophy. This guide explains our three AI investment areas, and how these areas delivervalue for your mission-driven organization. We conclude by sharing what makesWorkday different and how we manage AI responsibly so organizations can usethese technologies freely and with confidence. Workday brings this adaptability and efficiency to our products fornonprofit organizations. We build intelligent tools that use AI to provide predictive, intuitive, efficientexperiences. To accomplish this, we invest in AI to: Deliverengaging experiencestailored to each person andorganization, resulting in more relevant digital services thatimprove the employee experience1 Enabletouchless automationfor repetitive, predictable tasks toimprove accuracy, lower costs, and increase productivity whilemitigating operational risks2 Equip people withAI-assisted insights and recommendationstodrive faster, better decision-making, optimize scarce resources,and free up talent to focus on strategic activities that supportmission achievement3 1Engaging experiences. Nonprofits everywhere want to deliver more connected and personalized donorand fundraising experiences—but industry leaders know that engaging employeeexperiences are just as important, especially when competing for talent. Nonprofitworkers are looking for opportunities to make use of their advanced skills andto continue growing their careers. And products that can present highly relevantopportunities will engage employees better than any generic interface. Workday engages users by creating an individualized experience arounda person’s career journey. It all starts with skills—the new currency that’sthe basis for everything surrounding talent. With the Workday Skills Cloud,you can map workers to jobs, suggest learning and mentorships, and muchmore. It’s designed to help users understand the relationship between skillsand roles, and to automatically inventory skills for candidates, workers, andjob requisitions. Workday Skills Cloud then measures and matches skillsacross these areas to create a more personalized path to development andadvancement for each worker. You can see this in action through the WorkdayTalent Marketplace and Career Hub, which drive many of the recommendedtasks and content delivered to users where they interact most. 2Touchless automation. Workday uses the power of AI to automate and improve the accuracy ofrepetitive and predictable tasks. This simplifies and accelerates processeswithout compromising data quality. And Workday products are designed toleverage a human-in-the-loop approach, so your highly skilled end users arestill the final decision-makers. With AI, the tools do the work and free your peopleto focus on more mission-critical, strategic, ordecision-oriented tasks. Finance and supply chain teams see significant impact from touchlessautomation. AI capabilities such as anomaly detection and OCR scanningnow automate processes that were traditionally manual, time-consuming, anderror-prone. For example, journal insights in Workday uses machine learning (ML)to detect anomalies in accounting entries and then compare them to otherentries for similar transactions. Anomalies are flagged in real time, so users cancorrect potential reconciliation issues as they happen, rather than during thehigh-pressure month-end close. Another example is supplier invoice automation. OCR services allow theplatform to automatically ingest a supplier invoice and then ML in Workdayis used to apply worktag coding to map key attributes to accounts payableprocesses. Workday also uses ML to route invoices for review and approval,greatly increasing invoice processing efficiency and accuracy. 3AI-assisted insightsand recommendations. Candidate skills match for recruiting uses ML to intelligently match candidatesto open job positions. Recruiters receive a list of candid