2025年当务之急：立即实施智能自动化——为何延迟技术实施以改进业务流程可能对组织不利

Why Delaying TechnologyImplementation to ImproveBusiness Processes CouldDisadvantage Organizations Putting Artificial Intelligence to Work Advanced Analytics:There are dozens of routine activities that canbe improved with analytics—particularly when those activities involveexploring large data sets and identifying patterns in structuredand semi-structured data sources. Whether you are developingan e-commerce website that makes purchase recommendationsbased on browsing activity or a parking app that broadcasts real-time space availability to motorists, an advanced analytics platformcan help by automating data preparation and enrichment activities,recommending new data sets, animating dynamic charts basedon real-time query results, and offering instant explanations of keymetrics. It’s no wonder 71% of the Harvard Business Review AnalyticServices respondents reported that advanced analytics will becritical to their businesses over the next five years. IA leaders favoranalytic platforms that can help with business scenario modeling,automatically conduct what-if analyses, and offer speech-to-textprocessing for responding to voice-based queries. Despite decades of technology advancements that have positivelyimpacted corporate information systems, most of today’s businessprocesses can be further improved throughintelligent automation(IA)—the process of using artificial intelligence (AI) to createhardware and software systems that work autonomously, learn fromtheir experiences, and adapt to moment-to-moment conditions. As the following report from Harvard Business Review AnalyticServices explains, most organizations are either currently pursuing orplanning to pursue IA projects—albeit with some uncertainty. How doyou turn initial IA visions into working systems? How do you integratenew IA functions with existing applications? And how do you scalethese automation initiatives across the enterprise? Successful IA projects depend on three essential drivers:automation, cloud infrastructure,andadvanced analytics.These three engines of progress must work in unison to achieveeffective outcomes. Focused Automation:Artificial intelligence can be incrediblyuseful when applied to targeted domains, such as a databasethat can detect cybersecurity breaches by distinguishing normalfrom abnormal behavior. Theseautonomoussystems are not onlyintelligent but also self-governing, which means they can carryout multiple automated sequences without human initiation orintervention. Despite the lofty “general AI” scenarios depictedin popular science fiction books and films, the true potential ofintelligent automation involves “narrow AI” systems that handlediscrete tasks such as pricing products, recognizing fraud, andcircumventing customer churn. Introducing a Complete Platform for Intelligent AutomationOracle is hard at work incorporating intelligent automation into everylayer of its cloud platform: •At the application layer, Oracle is infusing IA technology intoenterprise resource planning, supply chain management,customer experience, human capital management, and othersoftware-as-a-service (SaaS) apps. •At the platform layer, Oracle has built-in AI/ML capabilities notonly in Oracle Database but also in its analytics applications andmanagement utilities. Cloud Infrastructure:As Judith Hurwitz of Hurwitz & Associatessays in the report, you can’t move ahead with intelligent automationwithout the scalability of cloud. However, not all clouds are createdequal. In order to create intelligent information systems, you needan intelligent cloud. Sometimes called second-generation clouds,these advanced offerings include single-tenant, high-performance,bare-metal servers designed for resource-intensive machine learning(ML) workloads. They not only include powerful CPU options,massive memory capabilities, and dense storage capacity—theyalso incorporate the latest cloud-native tools for building intelligentapplications. •At the infrastructure layer, Oracle uses AI and ML capabilities tokeep critical information systems running optimally. Oracle’s intelligent, self-driving systems form a solid foundationfor making quick progress with IA initiatives. For example, OracleAutonomous Database automates patching, backups, tuning, andother routine database tasks, so you can accelerate innovation.Oracle’s Gen 2 Cloud Infrastructure enables you to run traditionalenterprise apps and modern cloud native apps on the same platform,reducing operational overhead. In addition, Oracle’s cloud-nativevisual development tools make it easy to create IA capabilities,connect systems, map processes, and build modern digital apps—including AI-powered assistants that can carry on natural languageconversations. Find out more atoracle.com/cloud THE 2025 IMPERATIVE:INTELLIGENT AUTOMATION NOWWhy Delaying Technology Implementation to Improve Business Processes CouldDisadvantage Organizations Intelligent automation (IA) is moving beyond hype and into themainstream. E