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透過度身訂造的輕量級AI模型協助企業以低成本實現快速部署 內華達州拉斯維加斯2024年4月18日 /美通社/ -- SAS INNOVATE -- 數據分析及人工智能（AI）領導者SAS 今日於SAS Innovate 公佈一項突破性的方案，協助各大機構有效應對業務挑戰。SAS推出提供個別授權合約的輕量級行業專用AI模型，讓各行各業可隨時部署的AI技術，以前所未有的超高效率，實現各種實際應用案例。 SAS 擁有獨特的優勢，可靈活運用數十年的專業知識， 為全球多個知名金融、醫療和製造品牌，以至政府機構，提供可擴展且可靠AI 模型 。 AI軟件供應商SAS擁有獨特的優勢，可靈活運用其數十年來累積的專業知識，為全球多個知名金融、醫療保健及製造業品牌，以至政府機構，提供可擴展且可靠的AI模型。 IDC 未來智能研究總監 Chandana Gopal 表示：「SAS 正不斷拓展其產品組合，務求滿足更廣泛的用戶需求，並透過創新的產品擴大市場佔有率。憑藉與客戶合作解決行業問題的豐富經驗，SAS在其核心資產、人才及知識產權等方面的發展已相當成熟，是時候以此為基礎，將各行業模型產品化。」 在現今市場中，生成式AI模型主要採用「大型語言模型」（LLM）技術。事實上，LLM僅佔AI實際生產部署及企業決策模型需求的一小部分。SAS 的最新產品將有望超越LLM，為各行各業帶來經業界驗證的「確定性AI模型」，提供廣泛的應用案例，涵蓋欺詐識別、供應鏈優化、實體管理、文件對話及醫療支付誠信等。 有別於繁瑣耗時的傳統AI實施過程，SAS 的行業專用模型設計有助快速整合，讓機構應用可信任的AI技術，從而加快獲得實際利益及可靠結果。 擴大市場足跡 機構正面對需有效保持競爭力的沉重壓力，並希望借助AI技術獲得優勢。同時，受AI專才短缺影響，組織數據科學團隊時往往面對前所未有的挑戰。因此，機構期望可利用AI的靈活性去解決業務問題，並需要具彈性的AI解決方案快速推動業務成果。SAS 為企業提供易於使用且功能強大的AI模型，協助機構從 SAS 半個世紀的跨行業領導地位中受惠。 SAS 推出的行業的模型套裝落實早前就發展AI驅動行業解決方案投放 10 億美元的發展承諾。正如 2023 年 5 月所公佈，此項AI投資建基於 SAS 數十年來的長期承諾，為銀行、政府、醫療保健等行業，提供一系列應對業界挑戰的解決方案。 SAS AI及進階分析副總裁 Udo Sglavo 表示：「這些模型與我們現有的多項解決方案及 SAS Viya 平台產品可謂相輔相成，除滿足不同客戶的種種業務需要，同時確保我們生態系統的每個角落均注入創新的元素。度身訂造方案有助深入了解特定行業的需求，我們模型的框架讓機構在其獨特的行業環境中蓬勃發展。」 推動AI技術普及化 SAS 正透過提供多個「即開即用」的輕量級AI模型，實現AI普及化，不再受特定技術的限制，首先推出從優化倉庫空間AI輔助工具。輔助工具利用「大型語言模型」等技術，滿足非技術性用戶的需要、將互動無縫轉化為優化的工作流程，協助加快規劃決策。 Sglavo 表示：「SAS 模型為機構提供靈活、及時且隨時可用的AI技術，應付各式各樣的行業挑戰。無論剛開始部署AI技術，還是期望加快將AI應用擴展至整個機構，SAS均能在其深入且寬廣的AI解決方案中，提供無與倫比的技術，全面滿足機構的獨特需求。」 首批 SAS 模型預計將於今年稍後全面推出市場。如欲進一步了解 SAS AI應用及模型，請瀏覽：https://blogs.sas.com/content/tag/applied-ai-modeling/. SAS今日於 SAS Innovate作出有關公佈。這項活動旨在為商業領袖、技術用戶及 SAS 合作夥伴帶來前所未有的數據及AI體驗。請於 X/Twitter關注 @SASsoftwareNews，緊貼 SAS 最新消息。 關於 SAS SAS是全球領先的人工智能及商業分析軟件供應商，為各行各業提供專門解決方案。SAS 過在關鍵時刻為企業及機構提供知識卓見，協助更快速地將數據轉化成可信決策。SAS 為全球客戶提供THE POWER TO KNOW®。 SAS以及其他所有SAS Institute Inc. 的產品及服務名稱均為註冊商標，或是SAS Institute Inc. 在美國及其他國家® 顯示美國註冊的商標。其他品牌及產品名稱為其他公司的商標。版權所有 © 2024 SAS Institute Inc. 保留所有權利。 傳媒聯絡： Jennifer JamesJennifer.james@sas.com202-210-4180sas.com/news
提供領先數據及 AI 平台協助解讀及整合大型語言模型，加強現有相關處理能力； SAS Data Maker 將有助應對重大挑戰，並確保敏感數據安全 拉斯維加斯2024年4月18日 /美通社/ -- SAS INNOVATE -- 過去一年GenAI（生成式人工智能）熱潮席捲全球，各行各業的企業機構趨之若鶩，紛紛積極投入資源部署GenAI的應用，但他們是否已取得應有的成效？若機構所採用 的是SAS® Viya®數據及 AI 平台，答案絕對是肯定的。結合大型語言模型 （LLM） 編排能力的優勢，SAS Viya 現正協助客戶提升效率及生產力。於2024 年，SAS 將透過引入自家的合成數據生成器SAS Data Maker，並提供行業專用的 GenAI 輔助工具，擴展其可靠於 GenAI 領域的足跡，實現持續創新。 有關 Viya LLM 編排能力及其他 GenAI 功能的詳情，請參閲以下簡報： 透過生成式 AI 及 SAS Viya 提升生產力。 IDC 高級市場研究分析師 Wiktor Markiewicz 表示：「SAS 的大原則是每個人都能夠在數據分析生命週期中的每個階段，查詢數據並進行複雜分析，而生成式 AI 正好在這數據分析普及化的過程中扮演着至關重要的角色。 然而，大部分行業領袖對AI 科技認識尚淺，亦不了解如何善用有關技術。 可信的數據及 AI 平台則有助消除疑慮，展開生成式 AI 探索之旅。」 Georgia-Pacific 及 wienerberger 依賴 Viya 的 AI 及 GenAI 能力 生產商 Georgia-Pacific 是採用 Viya 的 SAS 客戶。Georgia-Pacific 合作及支援中心副總裁 Roshan Shah 表示：「當我們的生產設備或過程出現問題時，我們會利用感應器收集的數據、業務守則、推薦系統及生成式 AI 找出下一步應採取的最佳措施，以解決有關問題。SAS Viya 提供的串流數據分析及智能決策管理支援有助我們在事故發生時作出正確決策，實現即時的價值。」 談及 Georgia-Pacific，SAS 執行副總裁兼技術總監 Bryan Harris 表示：「SAS 的其中一個核心優勢在於其深厚的行業知識。 我們了解生產業，亦了解 Georgia-Pacific所面臨的獨特挑戰，透過幫助他們適當地擴展 LLM 編排能力及針對生產的 GenAI 輔助策略，讓員工可利用先進的應用程式，解決即時運作問題。」 全球磚瓦生產商 wienerberger 亦使用 SAS 提供的AI 支援，透過在 Microsoft Azure 上使用 SAS 降低能源消耗、減少溫室氣體排放，並提升產品質素。wienerberger 數據科學團隊主管 Florian Zittmayr 表示：「我們使用 SAS 的 AI 及 物聯網（loT） 分析串連所有數據流，分析整個生產流程。 SAS Analytics 透過協助我們的工程師及員工在每個步驟中獲取有價值的資訊，並確定具體的目標價值，實現窯爐智能化，使磚瓦的鍛燒及乾燥程序更合乎經濟效益。」 一間全球消費品生產商則利用 Viya 及其 GenAI 功能優化倉庫空間，更有效分配入庫的貨物，並根據產品需求比較不同的「假設」情境。SAS 透過動態更新 SAS Visual Analytics 儀表板，協助開發一個基於 LLM 的數碼輔助工具，讓該企業的供應鏈團隊可透過深入數據分析，輕鬆節省時間及改善倉庫空間的使用率。這款以對話為基礎的輔助工具，讓技術及商業用戶均可快速且準確地產生所需的結果，並透過 SAS 可信及可解釋的數據分析技術改善決策能力。 企業機構紛紛積極採用及部署 GenAI，但往往還未準備就緒，在距離實際執行仍存在一定差距，詳情請參閱美國一項最新研究的概要： 揭示生成式 AI 的挑戰及潛能：如何實現競爭優勢。 Viya 憑藉其務實、行業驅動的優勢在眾多 GenAI應用中脫穎而出 隨着不同企業機構探索 GenAI的無限潛力，SAS優先集中建立行業驅動及符合道德應用的相關案例。SAS 讓遍及各行各業的企業機構能夠在其不同的監管環境下確保安全的GenAI技術應用，並從中取得可信的結果，有效提升生產力。SAS 在各項領先產品中均加入 GenAI 功能，例如 Viya 及 SAS Customer Intelligence 360： GenAI 編排能力：Viya 將外部的 GenAI 模型整合至現有的業務流程及系統，運用LLM編排能力實現端對端的企業應用實例。 SAS Viya現已涵蓋以上功能。 Viya Copilot：透過個人輔助工具加快分析、商業及行業等領域的任務，協助開發人員、數據科學家及商業用戶提高生產力。Viya Copilot 提供多項工具，可用於產生編碼、數據清理、數據探索、市場營銷策劃、行程設計及知識差距分析等工作。Viya Copilot 的首個版本只供受邀請人士作私人預覽。 SAS Data Maker：在不危害敏感資資料安全性的情況下產生高質素的合成表格數據，協助企業機構面對數據私隱及數據不足所帶來的挑戰，有效解決相關問題。SAS Data Maker 現已提供私人預覽。 促進客戶互動：SAS繼續為其旗艦營銷科技（MarTech） 解決方案 SAS Customer Intelligence 360 注入GenAI功能，協助營銷人員提升客戶體驗。SAS Customer Intelligence 360 已提供嶄新的 GenAI功能，有助簡化市場營銷策劃、行程設計及內容和創意開發等流程。針對營銷人員的需要，SAS 現正於SAS Customer Intelligence 360引入三項全新功能：透過自然語言提示利用 GenAI 推薦合適的客戶群，建立目標受眾；透過提供聊天體驗收集並分析受眾數據；以及提供 GenAI電郵主題建議服務。 Viya 的 GenAI 功能為計劃實現以下目標的客戶帶來重大轉變： 加速創新：透過利用 SAS Intelligent Decisioning 等決策流程工具，將 GenAI 模型無縫整合至決策工作流程、AI/ML 應用及現有業務流程中。 確保數據安全：透過各項穩健的數據質素控制措施，包括合成式數據生成、數據最小化、匿名化及加密等，保障用戶私隱及安全，確保敏感資料獲得全面的保護。 產生可信且可解釋的結果： 數據專家可利用自然語言處理技術預先處理數據，並為生成的結果提供解釋，從而將產生不準確訊息的機會及語言文本的處理成本降至最低。 加強管治能力：利用內置工具制定工作流程，為LLM的生命週期，包括模型風險管理等範疇進行驗證。 作出更精確的決策：Viya 平台內建卓越的量化決策能力，對成功的 GenAI推理至關重要。 SAS今日於 SAS Innovate 作出有關公佈。這項活動旨在為商業領袖、技術用戶及 SAS 合作夥伴帶來數據及 AI 體驗。 請於 X/Twitter 關注 @SASsoftwareNews，緊貼 SAS 最新消息。 關於 SASSAS 是全球領先的人工智能及商業分析軟件供應商，為各行各業提供專用解決方案。SAS 過在關鍵時刻為企業及機構提供知識卓見，協助更快速地將數據轉化成可信決策。 SAS 為全球客戶提供THE POWER TO KNOW®。 SAS以及其他所有 SAS Institute Inc. 的產品及服務名稱均為註冊商標，或是SAS Institute Inc. 在美國及其他國家®顯示美國註冊商標。其他品牌及產品名稱為其他公司的商標。 版權所有 © 2024 SAS Institute Inc. 保留所有權利。 傳媒聯絡： Laura Fleek Brumleylaura.brumley@sas.com 214-803-6692sas.com/news
Tailored, lightweight AI models facilitate rapid deployment with low overhead LAS VEGAS, April 18, 2024 /PRNewswire/ -- SAS INNOVATE -- Today at SAS Innovate, SAS – a pioneer in data and AI solutions – unveiled a game-changing approach for organizations to tackle business challenges head-on. Introducing lightweight, industry-specific AI models for individual license, SAS is equipping organizations with readily deployable AI technology to productionize real-world use cases with unparalleled efficiency. SAS is uniquely positioned to flex its decades of expertise in applying scalable AI models for prominent global financial, health care, and manufacturing brands, as well as government institutions. AI software provider SAS is uniquely positioned to flex its decades of expertise in applying scalable and trustworthy AI models for prominent global financial, health care, and manufacturing brands, as well as government institutions. "SAS is evolving its portfolio to meet wider user needs and capture market share with innovative new offerings," said Chandana Gopal, Research Director, Future of Intelligence, IDC. "An area that is ripe for SAS is productizing models built on SAS' core assets, talent and IP from its wealth of experience working with customers to solve industry problems." In today's market, the consumption of models is primarily focused on large language models (LLMs) for generative AI. In reality, LLMs are a very small part of the modeling needs of real-world production deployments of AI and decision making for businesses. With the new offering, SAS is moving beyond LLMs and delivering industry-proven deterministic AI models for industries that span use cases such as fraud detection, supply chain optimization, entity management, document conversation and health care payment integrity and more. Unlike traditional AI implementations that can be cumbersome and time-consuming, SAS' industry-specific models are engineered for quick integration, enabling organizations to operationalize trustworthy AI technology and accelerate the realization of tangible benefits and trusted results. Expanding market footprintOrganizations are facing pressure to compete effectively and are looking to AI to gain an edge. At the same time, staffing data science teams has never been more challenging due to AI skills shortages. Consequently, businesses are demanding agility in using AI to solve problems and require flexible AI solutions to quickly drive business outcomes. SAS' easy-to-use, yet powerful models tuned for the enterprise enable organizations to benefit from a half-century of SAS' leadership across industries. Delivering industry models as packaged offerings is one outcome of SAS' commitment of $1 billion to AI-powered industry solutions. As outlined in the May 2023 announcement, the investment in AI builds on SAS' decades long focus on providing packaged solutions to address industry challenges in banking, government, health care and more. "Models are the perfect complement to our existing solutions and SAS Viya platform offerings and cater to diverse business needs across various audiences, ensuring that innovation reaches every corner of our ecosystem," said Udo Sglavo, Vice President for AI and Analytics, SAS. "By tailoring our approach to understanding specific industry needs, our frameworks empower businesses to flourish in their distinctive environments." Bringing AI to the massesSAS is democratizing AI by offering out-of-the-box, lightweight AI models – making AI accessible regardless of skill set – starting with an AI assistant for warehouse space optimization. Leveraging technology like large language models, these assistants cater to nontechnical users, translating interactions into optimized workflows seamlessly and aiding in faster planning decisions. "SAS Models provide organizations with flexible, timely and accessible AI that aligns with industry challenges," said Sglavo. "Whether you're embarking on your AI journey or seeking to accelerate the expansion of AI across your enterprise, SAS offers unparalleled depth and breadth in addressing your business's unique needs." The first SAS Models are expected to be generally available later this year. Learn more about SAS Applied AI and Modeling here: https://blogs.sas.com/content/tag/applied-ai-modeling/. Today's announcement was made at SAS Innovate, the data and AI experience for business leaders, technical users and SAS Partners. Keep up with the latest news from SAS by following @SASsoftwareNews on X/Twitter. About SASSAS is a global leader in data and AI. With SAS software and industry-specific solutions, organizations transform data into trusted decisions. SAS gives you THE POWER TO KNOW®. SAS and all other SAS Institute Inc. product or service names are registered trademarks or trademarks of SAS Institute Inc. in the USA and other countries. ® indicates USA registration. Other brand and product names are trademarks of their respective companies. Copyright © 2024 SAS Institute Inc. All rights reserved. Editorial Contact:Jennifer JamesJennifer.james@sas.com 202-210-4180 sas.com/news
Leading data and AI platform helps explain and integrate large language models to augment existing processes; SAS Data Maker will address critical challenges without compromising sensitive data LAS VEGAS, April 18, 2024 /PRNewswire/ -- SAS INNOVATE -- So many organizations have jumped on the GenAI bandwagon in the last year, but are those efforts delivering results yet? If the organization uses the SAS® Viya® data and AI platform, the answer is a resounding yes. Infused with large language model (LLM) orchestration strength, SAS Viya is already helping customers accelerate efficiency and productivity. Throughout 2024, SAS will continue delivering innovation by broadening its trustworthy GenAI footprint with the introduction of its own synthetic data generator - SAS Data Maker - and by offering industry-specific GenAI assistants. Learn more about Viya LLM orchestration and other GenAI capabilities in this solution brief: Accelerate productivity with generative AI and SAS Viya. "SAS' guiding principle is everyone should be able to query data and perform complex analytical operations in every phase of the data and analytics life cycle, and generative AI is crucial in this democratization journey," said Wiktor Markiewicz, Senior Market Research Analyst at IDC. "But most leaders don't understand AI technology and how they can apply it meaningfully. Having an already trusted data and AI platform available removes the guesswork and kickstarts the generative AI journey." Georgia-Pacific and wienerberger rely on Viya for AI and GenAI capabilitiesManufacturer Georgia-Pacific is a SAS customer using Viya. "When challenges emerge with our manufacturing equipment or process, we leverage sensor data, business rules, recommender systems and generative AI to suggest the appropriate next best action and resolve the problem," said Roshan Shah, Vice President, Collaboration & Support Center, Georgia-Pacific. "Streaming analytics and intelligent decision management support from SAS Viya helps us capture immediate value by making the right decisions as events occur." About Georgia-Pacific, SAS Executive Vice President and CTO Bryan Harris said, "One of SAS' core strengths is our deep bench of industry knowledge. We understand manufacturing, and we understand Georgia-Pacific's unique challenges. We help them appropriately scale LLM orchestration and manufacturing-specific GenAI assistant strategies so their employees can use those cutting-edge applications to troubleshoot real-time operational issues." Global brick manufacturer wienerberger also uses SAS for AI support. The company reduces energy consumption, cuts greenhouse gas emissions and improves product quality using SAS on Microsoft Azure. "We use AI and IoT analytics from SAS to connect all our data streams and analyze the entire production process," said Florian Zittmayr, Team Lead for Data Science at wienerberger. "SAS Analytics brings intelligence to the kiln by helping our engineers and employees to gain valuable information about each step and identify specific target values to make the drying and firing of bricks more economical." And a global consumer goods manufacturer uses Viya and its GenAI capabilities to optimize warehouse space, allocate inbound shipments and compare "what-if" scenarios based on product demand. SAS helped develop an LLM-based digital assistant by dynamically updating SAS Visual Analytics dashboards so the company's supply chain teams can easily save time and improve warehouse space usage with in-depth analytics. This conversational assistant allows both technical and business users to generate fast and accurate results and improve decision making using SAS' trustworthy, explainable analytics. Organizations are enthusiastic about adopting and deploying GenAI, but there's often a gap between preparedness and execution. Learn more by reading the US Executive Summary from a new study: Generative AI Challenges and Potential Unveiled: How to Achieve a Competitive Advantage. Viya stands out in the GenAI crowd because of pragmatic, industry-driven applicationsAs organizations explore GenAI, SAS prioritizes identifying industry-driven and ethically applied use cases. SAS enables secure adoption and fosters accelerated productivity and trusted results across diverse industries and regulatory landscapes. SAS' GenAI functionality lives in leading products like Viya and SAS Customer Intelligence 360: GenAI orchestration: Viya integrates external GenAI models with existing business processes and systems, orchestrating LLMs for end-to-end enterprise use cases. These capabilities are now available in SAS Viya. Viya Copilot: Enhances productivity for developers, data scientists and business users with a personal assistant that accelerates analytical, business and industry tasks. Viya Copilot offers diverse tools for tasks like code generation, data cleaning, data exploration, marketing planning, journey design and knowledge gap analysis. The first iteration of Viya Copilot is available through an invitation-only private preview. SAS Data Maker: Addresses data privacy and scarcity challenges by generating high-quality synthetic tabular data without compromising sensitive information, enabling organizations to address data privacy. SAS Data Maker is now available in private preview. Customer engagement. SAS continues to infuse GenAI capabilities into its flagship MarTech solution, SAS Customer Intelligence 360, to help marketers elevate the customer experience. SAS Customer Intelligence 360 already offers GenAI assistance on streamlining marketing planning, journey design and content and creative development. SAS is now introducing three new capabilities in SAS Customer Intelligence 360 for marketers: using GenAI to build recommended audiences based on natural language prompts, a chat experience to interpret audience data and a GenAI suggestion service for email subject lines. The GenAI functionality of Viya makes a meaningful difference to customers planning to: Accelerate innovation: Seamlessly integrate GenAI models into decisioning workflows, AI/ML applications and existing business processes by using decisioning flow tools like SAS Intelligent Decisioning. Protect data: Support user privacy and security with robust data quality measures, including synthetic data generation, data minimization, anonymization and encryption, so sensitive information remains safeguarded. Create trustworthy and explainable results: Data experts can apply natural language processing techniques to preprocess data and explain the generated output, minimizing hallucinations and token costs. Enhance governance: Use built-in tools to create workflows that validate the life cycle of LLMs, including model risk management. Make more precise decisions: Quantitative decisioning capabilities, critical for successful GenAI reasoning, are built into the Viya platform. Today's announcement was made at SAS Innovate, the data and AI experience for business leaders, technical users and SAS Partners. Keep up with the latest news from SAS by following @SASsoftwareNews on X/Twitter. About SASSAS is a global leader in data and AI. With SAS software and industry-specific solutions, organizations transform data into trusted decisions. SAS gives you THE POWER TO KNOW®. SAS and all other SAS Institute Inc. product or service names are registered trademarks or trademarks of SAS Institute Inc. in the USA and other countries. ® indicates USA registration. Other brand and product names are trademarks of their respective companies. Copyright © 2024 SAS Institute Inc. All rights reserved. Editorial Contact:Laura Fleek Brumleylaura.brumley@sas.com 214-803-6692sas.com/news
AI將不會取代所有工作，亦不會導致人類文明終結；但將協助企業作出更精明決策。 香港2023年12月2日 /美通社/ -- 人工智能（AI）無處不在，而有關其所帶來的優勢及威脅眾說紛紜。AI的潛力會在未來一年實現嗎？人工智能及數據分析領導者SAS邀請全公司的管理層及專家，預測 2024 年AI的趨勢，以及相關主要業務和技術之發展。以下是他們的分享。 請瀏覽 SAS 2024 年人工智能預測頁面，了解更多相關的趨勢及預測。 生成式AI將促成（而不是取代）全面的人工智能策略 「生成式AI技術可以完成很多任務，但亦不能做到所有事情。踏入 2024 年，企業機構將不會繼續視生成式AI為一項獨立技術，而轉為將其整合成特定行業AI策略的輔助工具。在銀行業，可提供模擬數據以用作壓力測試及情境分析，有助預測風險及防止損失。在醫療保健領域，可協助制定個人化治療計劃。在製造業中，生成式AI可模擬生產程序，在品質、可靠性、維護、能源效率及產量等方面確定需要改進的地方。」 — SAS首席科技總監Bryan Harris [註：於今年早前，SAS承諾投放10 億美元發展人工智慧驅動行業解決方案。] AI將創造就業機會 「於 2023 年，坊間存在很多對AI的憂慮，擔心人類的工作會被取代。2024 年的討論將集中在AI如何創造就業機會。其中一個明顯的例子是『提示工程』（prompt engineering），有效將語言模型的龐大潛力結合其實際的應用。AI可協助擁有任何技術水平及擔當不同職務的員工提升工作效能和效率。儘管嶄新的AI科技有機會在 2024 年及以後對就業市場造成一些短期的影響，但將會創造更多全新的就業機會及職位，有助推動經濟增長。」 – SAS進階數據分析副總裁Udo Sglavo AI將有助提升負責任營銷 「作為市務身人員，我們必須自覺地實踐負責任營銷，當中兩大範疇包括對AI出錯的意識度，以及對其可能存在偏差的警覺性。雖然AI有望提升營銷及廣告計劃的成效，但我們深知偏差的數據（biased data）和模型會產生具有偏差的結果。在 SAS的市場營銷部門中，我們正實行採用類似成分列表的AI模型卡。無論你是創造或是應用AI，均要對其影響負責。正因如此，所有市務人員，不論其技術知識水平，都可查閱模型卡，驗證其演算法是否有效和公平，並根據需要進行調整。」 – SAS首席市場營銷總監 Jennifer Chase 金融機構將在欺詐猖獗時代中擁抱AI 「儘管消費者表示對欺詐行為的警覺性有所提高，但生成式AI及『深度偽造』（deepfake）技術正協助欺詐份子磨練其詐騙伎倆，以進行數以億美元計的騙案。網絡釣魚訊息愈趨精密，而假冒網站亦以假亂真。騙徒利用簡單的網上工具及某人數秒的語音即可複製其聲音。我們正踏入欺詐猖獗的黑暗時代，銀行及信用評級聯盟將爭先採用AI技術，以彌補損失的時間。監管政策的轉變，迫使金融機對不斷飆升的『授權推送支付』（authorized push payment）手機應用程式騙案及其他欺詐行為負起更大責任，毫無疑問進一步激勵他們實踐AI應用。」 — SAS風險、欺詐及合規解決方案高級副總裁Stu Bradley 「影子AI」（Shadow AI）將成資訊總監嶄新挑戰 「以往一直與『影子資訊科技』（Shadow IT）角力的資訊總監們，現將需要進一步應付『影子AI』— 在企業內自行使用或開發並沒獲資訊科技部門正式授權或監控的解決方案。追求高效率的員工將繼續使用生成式AI工具來提高生產力，而資訊總監們每日均需要苦苦思量，到底在多大程度允許採用這些生成式AI工具，以及應採取哪些防護措施以確保企業免受相關風險的影響。」 — SAS首席資訊總監Jay Upchurch 多模態AI（Multimodal AI）及人AI模擬技術將成為嶄新發展領域 「將文字、圖像及語音整合至單一模型是生成式AI的另一嶄新發展領域。『多模態AI』可同時處理各種輸入，支援更多情境感知應用程式以進行有效決策。其中一個例子是產生3D立體物件、環境及空間數據，應用於擴增實境（Augmented Reality）、虛擬實境（Virtual Reality），以及模擬數碼孿生等複雜物理系統。」 — SAS人工智能／生成式人工智能策劃顧問Marinela Profi 數碼孿生技術應用將迅速提升 「AI及物聯網（IoT）分析等技術推動製造業、能源及政府等重要行業的發展。由廠房的工人以至辦公室的管理層均採用這些技術，將大量的數據轉化為有用的見解，協助作出更快更佳的決策。踏入2024年，透過更廣泛採用各項數碼孿生技術，AI及IoT分析的應用將迅速提升。數碼孿生技術可分析實時傳感器及營運數據，並為工廠、智慧城市及能源網等複雜的系統建立副本。憑藉數碼孿生技術，企業可優化營運、改善產品品質、加強安全性、提高可靠性並減少排放。」 — SAS物聯網副總裁Jason Mann 保險公司將利用AI應對氣候變化風險 「經過數十年的長期預測，氣候變化已經由估計的威脅演變成真實的危機。單於2022 年，全球因自然災害所造成的保險賠償總額已超過1,300 億美元，世界各地的保險公司紛紛感受到當中的壓力。例如，美國多間保險公司正接受調查，由於它們提高保費，以及從加利福尼亞和佛羅里達等受災嚴重的州份撤資，導致數千萬計的消費者陷入困境。為度過今次的危機，保險公司將更廣泛地採用AI以發掘其海量數據的潛力和價值，以提高資金的流動性，有效加強競爭力。AI除了可於動態保費定價及風險評估方面帶來優勢，亦將可協助進行自動化，以提升理賠效率、欺詐檢測、客戶服務等。」 — SAS風險研究及定量解決方案資深副總裁兼Troy Haines AI於政府的應用愈趨重要 「政府將開始感受到AI人才短缺的問題。由於AI專才對薪金的要求甚高，政府較難吸引和留住相關人才，但他們將積極招聘專才以支援相關的監管行動。與其他企業一樣，政府亦將更廣泛地採用AI及數據分析技術，以提高生產力、將繁瑣任務自動化，並緩解人才短缺問題。」 — SAS數據道德實務副總裁Reggie Townsend 生成式AI有望加強病患者護理 「為促進健康並改善病患者的體驗，醫療機構將於 2024 年進一步開發以生成式AI技術支援的工具，應用於個人化醫療計劃，例如建立用於臨床測試的病患者專屬虛擬替身（Avatars），以及制訂個人化治療方案等。此外，我們將看到基於生成式AI技術的系統出現，提供臨床決策支援，實時為付款者、醫療服務提供者及製藥組織提供指引。」 – SAS全球醫療總監Steve Kearney 謹慎的AI部署將決定保險公司的成敗 「在2024年，將有一間全球100大保險公司中因過急部署生成式AI技術而倒閉。現時，保險公司紛紛急速地推出自主系統，而沒有針對其業務模式的需要。他們希望利用AI技術迅速處理理賠相關事宜，從而抵消過去數年低迷的業績。但經過2023年的裁員潮後，餘下的員工數量不足，無法有效分配人手進行所需的監管，以合乎道德的方式大規模地部署AI技術。坊間視AI為萬能的迷思將引發數以萬計的錯誤商業決策，令企業面臨倒閉危機，亦可能對消費者及監管機構的信任造成無法挽回的損害。」 – SAS全球保險策略顧問Franklin Manchester 學術界將推動AI以提升公共衞生 「公共衞生領域以前所未有的速度實現科技現代化。不論是藥物過量或流感監測，利用數據制定公共衞生干預措施至關重要。預測及建模經已迅速成為公共衞生工作的基石，但政府需要相關的協助，而學術界的參與應運而生。我們將會看到愈來愈多的學術研究人員協助政府進行AI建模和預測工作。在新冠疫情後，我們顯然需要卓越的技術及合作以確保公共衞生。」 – SAS 國家公共衞生顧問及流行病學家Dr. Meghan Schaeffer 想了解更多？ SAS管理層將於下年年初進一步分享他們對科技趨勢的預測，並探討AI及數據分析的最新發展。SAS Innovate大會將於2024年4月16日至19日在美國拉斯維加斯舉行，屆時將雲集一眾商業領袖及數據分析專家，萬勿錯過。請立即登記以獲取大會的最新資訊及早鳥優惠。 關於SAS SAS 是全球領先的人工智能及商業分析軟件供應商，為各行各業提供專門解決方案。SAS透過在關鍵時刻為企業及機構提供知識卓見，協助更快速地將數據轉化成可信決策。SAS 為全球客戶提供 THE POWER TO KNOW®。 SAS 以及其他所有 SAS Institute Inc.的產品及服務名稱均為註冊商標，或是 SAS Institute Inc.在美國及其他國家®顯示美國註冊的商標。其他品 牌及產品名稱為其他公司的商標。版權所有© 2023 SAS Institute Inc. 保留所有權利。 2024 年 SAS AI 預測與趨勢 傳媒聯絡: Joey Fong Edward Lai, iPR Ogilvy joey.fong@sas.com edward.lai@iprogilvy.com +852 2568 4280 +852 3920 7662 www.sas.com/en_hk/news.html
AI will not take all jobs nor end civilization. But it will help businesses make better decisions. CARY, N.C., Nov. 30, 2023 /PRNewswire/ -- Artificial intelligence (AI) is everywhere. And stories are rampant about its promise and its threat. Will AI's potential be realized in the year ahead? SAS, the leader in AI and analytics, asked executives and experts across the company to predict trends and key business and technology developments in AI for 2024. Below are some of the predictions they shared. Visit SAS' 2024 AI predictions page for more trends and forecasts. Generative AI will augment (not replace) a comprehensive AI strategy"Generative AI technology does a lot of things, but it can't do everything. In 2024, organizations will pivot from viewing generative AI as a stand-alone technology to integrating it as a complement to industry-specific AI strategies. In banking, simulated data for stress testing and scenario analysis will help predict risks and prevent losses. In health care, that means the generation of individualized treatment plans. In manufacturing, generative AI can simulate production to identify improvements in quality, reliability, maintenance, energy efficiency and yield."– Bryan Harris, Chief Technology Officer, SAS[Note: Earlier this year, SAS committed $1 billion to AI-powered industry solutions.] AI will create jobs"In 2023, there was a lot of worry about the jobs that AI might eliminate. The conversation in 2024 will focus instead on the jobs AI will create. An obvious example is prompt engineering, which links a model's potential with its real-world application. AI helps workers at all skill levels and roles to be more effective and efficient. And while new AI technologies in 2024 and beyond may cause some short-term disruptions in the job market, they will spark many new jobs and new roles that will help drive economic growth."– Udo Sglavo, Vice President of Advanced Analytics, SAS AI will enhance responsible marketing"As marketers we must consciously practice responsible marketing. Facets of this are awareness of the fallibility of AI and alertness to possible bias creeping in. While AI offers the promise of enhanced marketing and advertising programs, we know that biased data and models beget biased results. In SAS Marketing, we are implementing model cards that are like an ingredient list, but for AI. Whether you create or apply AI, you are responsible for its impact. That's why all marketers, regardless of technical know-how, can review the model cards, validate that their algorithms are effective and fair, and adjust as needed."– Jennifer Chase, Chief Marketing Officer, SAS Financial firms will embrace AI amid a Dark Age of Fraud"Even as consumers signal increased fraud vigilance, generative AI and deepfake technology are helping fraudsters hone their multitrillion-dollar craft. Phishing messages are more polished. Imitation websites look stunningly legitimate. A crook can clone a voice with a few seconds of audio using simple online tools. We are entering the Dark Age of Fraud, where banks and credit unions will scramble to make up for lost time in AI adoption – incentivized, no doubt, by regulatory shifts forcing financial firms to assume greater liability for soaring APP [authorized push payment] scams and other frauds."– Stu Bradley, Senior Vice President of Risk, Fraud and Compliance Solutions, SAS Shadow AI will challenge CIOs"CIOs have struggled with 'shadow IT' in the past and will now confront 'shadow AI' – solutions used by or developed within an organization without official sanction or monitoring by IT. Well-intentioned employees will continue to use generative AI tools to increase productivity. And CIOs will wrestle daily with how much to embrace these generative AI tools and what guardrails should be put in place to safeguard their organizations from associated risks."– Jay Upchurch, Chief Information Officer, SAS Multimodal AI and AI simulation will reach new frontiers"The integration of text, images and audio into a single model is the next frontier of generative AI. Known as multimodal AI, it can process a diverse range of inputs simultaneously, enabling more context-aware applications for effective decision making. An example of this will be the generation of 3D objects, environments and spatial data. This will have applications in augmented reality [AR], virtual reality [VR], and the simulation of complex physical systems such as digital twins."– Marinela Profi, AI/Generative AI Strategy Advisor, SAS Digital-twin adoption will accelerate"Technologies like AI and IoT [Internet of Things] analytics drive important sectors of the economy, including manufacturing, energy and government. Workers on the factory floor and in the executive suite use these technologies to transform huge volumes of data into better, faster decisions. In 2024, the adoption of AI and IoT analytics will accelerate through broader use of digital-twin technologies, which analyze real-time sensor and operational data and create duplicates of complex systems like factories, smart cities and energy grids. With digital twins, organizations can optimize operations, improve product quality, enhance safety, increase reliability and reduce emissions."– Jason Mann, Vice President of IoT, SAS Insurers will confront climate risk, aided by AI"After decades of anticipation, climate change has transformed from speculative menace to genuine threat. Global insured losses from natural disasters surpassed $130 billion in 2022, and insurers worldwide are feeling the squeeze. US insurers, for example, are under scrutiny for raising premiums and withdrawing from hard-hit states like California and Florida, leaving tens of millions of consumers in the lurch. To survive this crisis, insurers will increasingly adopt AI to tap the potential of their immense data stores to shore up liquidity and be competitive. Beyond the gains they realize in dynamic premium pricing and risk assessment, AI will help them automate and enhance claims processing, fraud detection, customer service and more."– Troy Haines, Senior Vice President of Risk Research and Quantitative Solutions, SAS AI importance will grow in government"The workforce implications of AI will start being felt in government. Governments have a hard time attracting and retaining AI talent since experts command such high salaries, however, they will aggressively recruit for expertise to support regulatory actions. And like enterprises, governments will also increasingly turn to AI and analytics to boost productivity, automate menial tasks and mitigate that talent shortage."– Reggie Townsend, Vice President of the SAS Data Ethics Practice Generative AI will bolster patient care"To advance health and improve patient and member experiences, organizations will further develop generative AI-powered tools in 2024 for personalized medicine, such as the creation of patient-specific avatars for use in clinical trials and the generation of individualized treatment plans. Additionally, we will see the emergence of generative AI-based systems for clinical decision support, delivering real-time guidance to payers, providers and pharmaceutical organizations."– Steve Kearney, Global Medical Director, SAS Deliberate AI deployment will make or break insurers"In 2024, one of the top 100 global insurers will go out of business as a consequence of deploying generative AI too quickly. Right now, insurers are rolling out autonomous systems at breakneck speed with no tailoring to their business models. They're hoping that using AI to crunch through claims quickly will offset the last few years of poor business results. But after 2023's layoffs, remaining staff will be spread too thin to enact the necessary oversight to deploy AI ethically and at scale. The myth of AI as a cure-all will trigger tens of thousands of faulty business decisions that will lead to a corporate collapse, which may irreparably damage consumer and regulator trust."– Franklin Manchester, Global Insurance Strategic Advisor, SAS Public health will get an AI boost from academia"Public health is achieving technologic modernization at an unprecedented rate. Whether overdoses or flu surveillance, using data to anticipate public health interventions is essential. Forecasting and modeling are rapidly becoming the cornerstone of public health work, but government needs help. Enter academia. We will see an increase in academic researchers carrying out AI-driven modeling and forecasting on behalf of government. It is clear after COVID-19 that the protection of our population will require exceptional technology and collaboration."– Dr. Meghan Schaeffer, National Public Health Advisor and Epidemiologist, SAS Want more?This spring, you can talk with SAS executives about their predictions and explore the latest in AI and analytics. Join business leaders and analytics experts for SAS Innovate, April 16-19, 2024, in Las Vegas. Sign up today for updates on the conference and early-bird pricing. About SASSAS is a global leader in AI and analytics software, including industry-specific solutions. SAS helps organizations transform data into trusted decisions faster by providing knowledge in the moments that matter. SAS gives you THE POWER TO KNOW®. SAS and all other SAS Institute Inc. product or service names are registered trademarks or trademarks of SAS Institute Inc. in the USA and other countries. ® indicates USA registration. Other brand and product names are trademarks of their respective companies. Copyright © 2023 SAS Institute Inc. All rights reserved. Editorial Contact:Mike Nemecek SASmike.nemecek@sas.com919-531-5140sas.com/news SAS AI predictions and trends for 2024
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