企业级人工智能的未来趋势

5 Key Trends Defining the Future of Enterprise AI5 Trends for the Future of Enterprise AI | 2 Generative artificial intelligence (AI) has made its way throughevery market and industry, from retailers providing better andmore personalized customer experiences to banks reducing fraud.But with all the excitement, what’s the future for generative AI andhow can we create an effective impact across an entire enterprise?The next phase is all about transforming industries at scale, transformingthe interoperability of technologies and shifting towards more human-centric capabilities. But most importantly, it’s about the impact onpeople. Enterprise AI has the potential to not only elevate customerexperience but to support creativity, innovation and productivity – inways we have yet to imagine.Through vast datasets and advanced machine learning (ML)algorithms, the potential use cases for AI are limitless. But the powerof this technology lies primarily in businesses’ ability to create tailored,AI-driven solutions unique to their needs. This orchestration of peopleand technology is paramount to success – and doing this securely byfinding the appropriate guardrails.We’ve identified five enterprise AI trends that will help you to navigatethe challenges and drive greater value from strategic implementation. The Ultimate Blend:Automation, Orchestrationand Gen AI 72%of organizations have integratedgenerative AI into some or most oftheir locations or functions.— Capgemini, Generative AI in Organizations 2024In Forrester’s Data And Analytics Survey,2022, 72% of data and analytics technologydecision-makers in banking report thattheir organization is adopting AI.— The State Of AI In Banking, 2023 – Forrester TrendsReport, 7 June 20232026By 2026, features like RPA and DPA arealready baseline expectations, and the focusof process tools will shift to orchestration.— AI Is Reshaping Automation Markets – Forrester TrendsReport, 23 February 202424%5 Trends for the Future of Enterprise AI|4 HOW WE CAN HELPThe Ultimate Blend:Automation, Orchestration and Gen AI1We’re evolving technologies to show their vital interplay.Organizations already use automation and orchestration tostreamline work. But, with gen AI’s ability to work with vastdatasets to create new content, the use cases are growing –from improving sales to marketing strategies and more.Using technology like gen AI requires planning – but doesit require technical knowledge or vast infrastructure? ColinRedbond, global head of product intelligent automation atSS&C Blue Prism says,“When we talk about Enterprise AI,we’re invested in creating more coherent and easier-to-use technology ecosystems by blending together existingtech stack capabilities with AI for an even greater impact.”Orchestration, automation and gen AI work togetherseamlessly. RVP of global technology alliances and AIstrategy at SS&C Blue Prism, Satish Shenoy, shares a viewon where we should see the most positive impact:Use gen AI to take care oftasks such as documentscanning, record maintenanceand content creation.Ensure smarter businessfunctions throughautonomous AI agents, withfewer errors and slowdowns.Maintain reliableguardrails to keep genAI outputs effective,safe and compliant.•Customer service support with conversational AIagents. For example, customer support systems arefully automated, with orchestration managing theworkflow (requests, escalations, etc.) while gen AIhandles customer conversations.•Better decision-making. Gen AI analyzes huge datasets andgenerates valuable insights from unstructured and semi-structured data. This data, when actioned by automation,informs existing processes, making them self-improving.•Personalized content creation. As we become moreentrenched in technology, having a personal touch alsobecomes more important. We’ve seen gen AI’s impact oncontent creation already, but when used across multipletechnologies we can scale its impact. Gen AI creates content,and automation delivers it to the right people automaticallywhile orchestration coordinates the processes into a singleworkflow (creation, data collection, targeting, etc.) “Across our customers, gen AI is revolutionizing customer service, knowledgemanagement, data insights, personalized content and software developmentlike never before.”—Satish Shenoy, RVP, global technology alliances and AI strategy, SS&C Blue Prism“Robotic process automation kickstarted the improvement of repetitive business tasks andprocesses over two decades ago. Now, generative AI helps digital workers go even further,automating much more complex tasks at scale. As a result, this is an era that holds greatpromise for humankind.”—Brad Hairston, advisory alliance director, SS&C Blue Prism“The next step with AI and intelligent automation is to make our digital customerengagement more personal than we’ve been able to make it before.”—Sandie Lindblad, First vice president, operational excellence, Danica Pension“...For me the ability to build, deliver and m