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cxounion.cn<\/mark><\/p>\n\n\n\n<p>4\u3001\u67d0\u96f6\u552e\u5de8\u5934\uff1a\u8be5\u96f6\u552e\u5de8\u5934\u6b63\u5728\u5229\u7528\u4eba\u5de5\u667a\u80fd\u6280\u672f\uff0c\u4ee5\u4f18\u5316\u4f9b\u5e94\u94fe\u7ba1\u7406\u548c\u9884\u6d4b\u6d88\u8d39\u8005\u9700\u6c42\u3002\u4ed6\u4eec\u5e0c\u671b\u901a\u8fc7\u6570\u636e\u5206\u6790\u548c\u9884\u6d4b\u6a21\u578b\uff0c\u51c6\u786e\u9884\u6d4b\u9500\u552e\u8d8b\u52bf\uff0c\u63d0\u9ad8\u5e93\u5b58\u7ba1\u7406\u6548\u7387\u3002<\/p>\n\n\n\n<p>5\u3001\u67d0\u822a\u7a7a\u516c\u53f8\uff1a\u8be5\u822a\u7a7a\u516c\u53f8\u56f4\u7ed5\u63d0\u9ad8\u5ba2\u6237\u670d\u52a1\u548c\u8fd0\u8425\u6548\u7387\u8bbe\u5b9aAI\u6218\u7565\u3002\u4ed6\u4eec\u8ba1\u5212\u5229\u7528\u81ea\u52a8\u5316\u673a\u5668\u4eba\u548c\u81ea\u7136\u8bed\u8a00\u5904\u7406\u6280\u672f\uff0c\u4e3a\u65c5\u5ba2\u63d0\u4f9b\u66f4\u5feb\u6377\u7684\u9884\u8ba2\u3001\u767b\u673a\u548c\u884c\u674e\u5904\u7406\u670d\u52a1\uff0c\u540c\u65f6\u4f18\u5316\u822a\u73ed\u8c03\u5ea6\u548c\u7ef4\u62a4\u8ba1\u5212\u3002<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">\u4e09\u3001\u4eba\u5de5\u667a\u80fd\u7684\u6218\u7565\u673a\u9047\u628a\u63e1<\/h2>\n\n\n\n<p>\u201c\u8981\u6293\u4f4f\u4eba\u5de5\u667a\u80fd\u5e26\u6765\u7684\u6218\u7565\u673a\u9047\uff0c\u5fc5\u987b\u613f\u610f\u4ee5\u6307\u6570\u7ea7\u7684\u901f\u5ea6\u9002\u5e94\u548c\u5b66\u4e60\u3002\u201d&nbsp; 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class=\"wp-block-heading\">GenAI\u53ef\u4ee5\u901a\u8fc7\u521b\u9020\u98a0\u8986\u6027\u7684\u65b0\u673a\u4f1a\u6765\u63a8\u52a8\u4f01\u4e1a\u76ee\u6807\uff0c\u4ece\u800c\u5bf9\u80a1\u4e1c\u4ef7\u503c\u4ea7\u751f\u663e\u8457\u5f71\u54cd\uff0c\u4f8b\u5982\uff1a<\/h3>\n\n\n\n<p>1\u3001\u589e\u52a0\u6536\u5165\uff1a\u4eba\u5de5\u667a\u80fd\u5c06\u5e2e\u52a9\u4f01\u4e1a\u66f4\u5feb\u5730\u521b\u9020\u65b0\u4ea7\u54c1\u3002\u5236\u836f\u3001\u533b\u7597\u4fdd\u5065\u548c\u5236\u9020\u4e1a\u7b49\u9886\u57df\u5c06\u6210\u4e3a\u4eba\u5de5\u667a\u80fd\u7684\u91cd\u70b9\u884c\u4e1a\uff0c\u56e0\u4e3a\u5b83\u4eec\u81f4\u529b\u4e8e\u5f00\u53d1\u65b0\u836f\u3001\u4f4e\u6bd2\u6027\u5bb6\u7528\u6e05\u6d01\u5242\u3001\u65b0\u578b\u9999\u7cbe\u548c\u9999\u6599\u3001\u65b0\u5408\u91d1\u4ee5\u53ca\u66f4\u5feb\u3001\u66f4\u597d\u7684\u533b\u7597\u8bca\u65ad\u3002<\/p>\n\n\n\n<p>2\u3001\u63d0\u9ad8\u5ba2\u6237\u53c2\u4e0e\u5ea6\uff1a\u901a\u8fc7\u6253\u7834\u73b0\u6709\u7684\u4ef7\u503c\u94fe\u548c\u5546\u4e1a\u6a21\u5f0f\uff0c\u751f\u6210\u6027\u4eba\u5de5\u667a\u80fd\u53ef\u4ee5\u7ed5\u8fc7\u4f20\u7edf\u7684\u4e2d\u95f4\u5546\uff0c\u5982\u51fa\u7248\u5546\u548c\u5206\u9500\u5546\uff0c\u5e76\u76f4\u63a5\u521b\u5efa\u548c\u5206\u53d1\u5185\u5bb9\uff0c\u4ece\u800c\u63d0\u9ad8\u5ba2\u6237\u53c2\u4e0e\u5ea6\u3002<\/p>\n\n\n\n<p>3\u3001\u964d\u672c\u63d0\u6548\uff1aGenAI\u7684\u529f\u80fd\u53ef\u4ee5\u7b80\u5316\u6d41\u7a0b\u3001\u52a0\u5feb\u7ed3\u679c\uff0c\u65e0\u8bba\u662f\u901a\u8fc7\u63d0\u9ad8\u4eba\u7c7b\u5de5\u4f5c\u8005\u7684\u6548\u7387\uff08\u4f8b\u5982\u5bf9\u5185\u5bb9\u8fdb\u884c\u603b\u7ed3\u3001\u7b80\u5316\u548c\u5206\u7c7b\uff09\u3001\u751f\u6210\u8f6f\u4ef6\u4ee3\u7801\u8fd8\u662f\u4f18\u5316\u804a\u5929\u673a\u5668\u4eba\u7684\u6027\u80fd\u3002\u6b64\u5916\uff0cGenAI\u8fd8\u53ef\u4ee5\u5229\u7528\u4ee5\u524d\u672a\u4f7f\u7528\u7684\u6570\u636e\uff0c\u5b9e\u73b0\u6210\u672c\u964d\u4f4e\u548c\u751f\u4ea7\u529b\u63d0\u5347\u3002<mark style=\"background-color:rgba(0, 0, 0, 0)\" class=\"has-inline-color has-white-color\">CXO UNION CXO\u8054\u76df cxounion.cn<\/mark><\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>\u56db\u3001\u8861\u91cf\u4eba\u5de5\u667a\u80fd\u6210\u529f\u7684\u53c2\u8003\u65b9\u6cd5<\/strong><\/h2>\n\n\n\n<p>\u90a3\u4e9b\u62e5\u6709\u5e7f\u6cdb\u3001\u6df1\u5165\u3001\u957f\u671f\u4eba\u5de5\u667a\u80fd\u7ecf\u9a8c\u7684\u7ec4\u7ec7\u5e76\u975e\u5fd9\u7740\u5185\u5377\u3001\u4e92\u5377\uff0c\u4e0d\u4ee5\u9879\u76ee\u6570\u91cf\u3001\u4efb\u52a1\u5b8c\u6210\u6216\u4ea7\u51fa\u91cf\u6765\u8861\u91cf\u6210\u529f\u3002<\/p>\n\n\n\n<p>\u76f8\u53cd\uff0c\u4ed6\u4eec\u66f4\u6ce8\u91cd\u4e1a\u52a1\u5065\u5eb7\u6307\u6807\u800c\u975e\u8d22\u52a1\u5b9e\u73b0\u6307\u6807\uff0c\u5e76\u91c7\u7528\u7279\u5b9a\u7684\u5f52\u56e0\u6a21\u578b\u548c\u63aa\u65bd\uff0c\u5c06\u5176\u4e0e\u6bcf\u4e2a\u5177\u4f53\u6848\u4f8b\u7ed1\u5b9a\u5728\u4e00\u8d77\uff0c\u7ec4\u7ec7\u6241\u5e73\u5316\u3001\u654f\u6377\u5316\uff0c\u5927\u5bb6\u805a\u7126\u5ba2\u6237\u7684\u4e1a\u52a1\u573a\u666f\uff0c\u542c\u5ba2\u6237\u7684\u800c\u4e0d\u662f\u542c\u529e\u516c\u5ba4\u5e55\u50da\u7684\u3002<\/p>\n\n\n\n<p>\u4e1a\u52a1\u6307\u6807\u5305\u62ec\u4f46\u4e0d\u9650\u4e8e\u4ee5\u4e0b\u65b9\u9762\uff1a<\/p>\n\n\n\n<p>1\u3001\u4f01\u4e1a\u589e\u957f\uff1aCross selling or service portfolio \u7684\u6f5c\u529b\u3001\u4ef7\u683c\u4e0a\u6da8\u3001\u9700\u6c42\u8bc4\u4f30\u3001\u65b0\u8d44\u4ea7\u8d27\u5e01\u5316\u7b49\u3002<\/p>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow 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style=\"background-color:rgba(0, 0, 0, 0)\" class=\"has-inline-color has-white-color\">CXO UNION CXO\u8054\u76df 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style=\"background-color:rgba(0, 0, 0, 0)\" class=\"has-inline-color has-white-color\">CXO UNION CXO\u8054\u76df cxounion.cn<\/mark><\/p>\n\n\n\n<p><\/p>\n\n\n\n<p>4\u3001\u6570\u636e\u53ef\u884c\uff1a\u4eba\u5de5\u667a\u80fd\u662f\u9ad8\u5ea6\u4f9d\u8d56\u6570\u636e\u7684\u6280\u672f\uff0c\u5982\u679c\u6ca1\u6709\u4e00\u4e2a\u652f\u6491\u7684\u6570\u636e\u6218\u7565\uff0c\u4f01\u4e1a\u5c06\u65e0\u6cd5\u5145\u5206\u5229\u7528\u4eba\u5de5\u667a\u80fd\u3002\u53ea\u6709\u660e\u786e\u6e05\u6670\u7684\u6570\u636e\u6cbb\u7406\u548c\u7ba1\u7406\u8981\u6c42\uff0c\u624d\u53ef\u80fd\u964d\u4f4e\u6570\u636e\u83b7\u53d6\u7684\u6210\u672c\uff0c\u5e76\u5e2e\u52a9\u7528\u6237\u5229\u7528\u4eba\u5de5\u667a\u80fd\u6240\u9700\u7684\u6570\u636e\u3002<\/p>\n\n\n\n<p class=\"has-text-align-center\"><img decoding=\"async\" src=\"http:\/\/cxounion.cn\/wp-content\/uploads\/2023\/06\/CXOUNION%E6%96%B0%E4%BA%8C%E7%BB%B4%E7%A0%81.png\"><\/p>\n\n\n\n<h2 class=\"wp-block-heading\">\u82f1\u6587\u7ffb\u8bd1\uff1a<\/h2>\n\n\n\n<p>Behind AIGC is the accelerated arrival of a new era<\/p>\n\n\n\n<p>Have you noticed that after the arrival of AIGC, your life and work are taking place and will inevitably continue to take place faster and faster new changes, times have changed, we must face it, there is no other choice.<\/p>\n\n\n\n<p>When companies rely on manual internalization to the extreme, it is the day when stubborn people finally succumb to the changes brought about by technological means such as AI.<\/p>\n\n\n\n<p>The next generation of great large enterprises will emerge with a powerful data platform, rich AI applications, and a gathering of the industry&#8217;s best scarce talent in an era that has no patience for mediocrity and repeated miscarriages.<\/p>\n\n\n\n<p>Businesses also have to face change.<\/p>\n\n\n\n<p>More importantly, for our country, this is an inevitable national development trend, and enterprises must comply with the general trend of artificial intelligence development.<\/p>\n\n\n\n<p>In 2017, China issued the &#8220;Notice on the Development Plan of the New Generation of Artificial Intelligence&#8221;.<mark style=\"background-color:rgba(0, 0, 0, 0)\" class=\"has-inline-color has-white-color\">CXO UNION CXO\u8054\u76df cxounion.cn<\/mark><\/p>\n\n\n\n<p>The plan clarifies the country&#8217;s ambitions in the field of AI, including initiatives and targets in research and development, industrialization, talent development, education and skills acquisition, standard-setting and regulations, ethics and safety.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Strategy three steps:<\/h3>\n\n\n\n<p>The first is to keep pace with competitors in the AI industry by 2020;<\/p>\n\n\n\n<p>The second is to become a world leader in certain AI fields by 2025;<\/p>\n\n\n\n<p>Finally, by 2030, we will achieve full leadership and become a major hub for AI innovation.<\/p>\n\n\n\n<p>It is predicted that by 2030, China&#8217;s artificial intelligence industry will reach 1 trillion yuan.<\/p>\n\n\n\n<p>The &#8220;High-quality Development Report of Central Enterprises (2023)&#8221; shows that investment in new generation information technology, artificial intelligence and other fields will be increased, and the layout of high-end manufacturing industries such as aerospace, rail transit, Marine engineering, intelligent equipment, and chips will be strengthened. In the past three years, the average annual investment growth rate of central enterprises in strategic emerging industries has exceeded 20%.<\/p>\n\n\n\n<p>Some foreign experts also believe that China will cultivate an artificial intelligence industry worth 10 trillion yuan.<\/p>\n\n\n\n<p>In 2022, artificial intelligence continues to show us unlimited imagination, and the diversity and development of product forms has reached new heights. For example, DJI drones, Pony Wisdom&#8217;s mass-production automatic driving domain controller, Shang Tang&#8217;s chess robot, and Baidu&#8217;s Wenxin super-large model, AI products emerge in endlessly.<\/p>\n\n\n\n<p>Although AI technological innovation has entered deeper waters and the exploration of the technology itself is more difficult, at the application level, it is increasingly like water, electricity and coal, which are indispensable in our lives. In subtle and silent forms, artificial intelligence has penetrated into every corner of public life.<mark style=\"background-color:rgba(0, 0, 0, 0)\" class=\"has-inline-color has-white-color\">CXO UNION CXO\u8054\u76df cxounion.cn<\/mark><\/p>\n\n\n\n<p>This trend is being driven by increasingly sophisticated platform-based solutions. For example, Lotus robot, Tencent number sapiens, mushroom car car integration and so on.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Second, strategic considerations for enterprise AI transformation<\/h3>\n\n\n\n<p>In the face of the tide of the artificial intelligence market and the clear Plan task requirements of relevant policies, relevant enterprises must consider the direction and key points of future AI transformation.<\/p>\n\n\n\n<h4 class=\"wp-block-heading\">The following guide points are for the actual reference of enterprises:<\/h4>\n\n\n\n<p>Finding a way to successfully integrate generative artificial intelligence (GenAI) into the business and achieve sustained value requires a sound, comprehensive, and implementable AI strategy that focuses on the following four elements:<\/p>\n\n\n\n<p>1.set the overall goal, positioning their own strengths focus and success measurement indicators to meet business needs.<\/p>\n\n\n\n<p>2.Measure the impact of GenAI on the business, in-depth analysis and optimization process.<\/p>\n\n\n\n<p>3.Assess and take steps to mitigate key AI risks, including data privacy and security concerns.<\/p>\n\n\n\n<p>4.Actively consider GenAI initiatives and identify viable solutions to quickly realize value.<\/p>\n\n\n\n<p>Building an AI strategy requires a rigorous and scientific approach. Start with a business-driven vision, dynamically plan program initiatives and iterate to justify why they should be adopted.<\/p>\n\n\n\n<h4 class=\"wp-block-heading\">The following are some strategic setting references for European and American enterprises:<\/h4>\n\n\n\n<p>1.a model manufacturer: the AI application layout of the enterprise to improve the efficiency and quality control of its production line as the core of its business. They plan to use machine learning and computer vision to automatically detect defects in the production process and optimize component supply chain management.<\/p>\n\n\n\n<p>2.A healthcare company: The company is developing an AI solution designed to provide more accurate diagnosis and treatment recommendations by analyzing patient data and clinical indicators. They hope to use this technology to improve medical outcomes and increase patient satisfaction.<\/p>\n\n\n\n<p>3. a banking institution: the bank to enhance customer experience and risk management capabilities. They plan to use natural language processing and machine learning to provide more personalized financial services and improve anti-fraud measures.<\/p>\n\n\n\n<p>4. a retail giant: The retail giant is using artificial intelligence technology to optimize supply chain management and predict consumer demand. Through data analysis and predictive models, they hope to accurately predict sales trends and improve inventory management efficiency.<\/p>\n\n\n\n<p>5. an airline: The airline set an AI strategy around improving customer service and operational efficiency. They plan to use automated robots and natural language processing technology to provide travelers with faster booking, boarding and baggage handling services, while optimizing flight scheduling and maintenance schedules.<\/p>\n\n\n\n<h4 class=\"wp-block-heading\">Third, Grasp the strategic opportunities of artificial intelligence<\/h4>\n\n\n\n<p>&#8220;To seize the strategic opportunities presented by AI, one must be willing to adapt and learn at an exponential rate.&#8221; &#8212; Elon Musk (Yes, it&#8217;s cooler translated as Pterosaur)<\/p>\n\n\n\n<p>GenAI is suddenly in the spotlight, but only 10% of organizations have successfully deployed mature AI technologies across multiple business units and processes. Although the experience is limited, a single spark can start a prairie fire, and you can wait until the whole prairie is burning before entering, or you can dance right now. Perhaps there are many valuable reflections, and even lessons, that companies can draw from these already experienced organizations.<\/p>\n\n\n\n<p>GenAI has the potential to revolutionize existing economic and social frameworks, just as the Internet and electricity did in the early days. The question for businesses today is how to leverage AI to support their strategic ambitions and drive stronger business outcomes.<\/p>\n\n\n\n<p>If deployed correctly, GenAI will be the key to gaining competitive advantage and differentiation. It has the capabilities of predictive analytics, machine learning (ML), and other AI technologies to automate repetitive and tedious tasks and constantly innovate.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">GenAI can have a significant impact on shareholder value by creating disruptive new opportunities to drive corporate goals, such as:<\/h3>\n\n\n\n<p>1.Increase revenue: AI will help businesses create new products faster. Sectors such as pharmaceuticals, healthcare, and manufacturing will be key industries for AI as they work to develop new drugs, low-toxicity household cleaners, new flavors and fragrances, new alloys, and faster and better medical diagnostics.<mark style=\"background-color:rgba(0, 0, 0, 0)\" class=\"has-inline-color has-white-color\">CXO UNION CXO\u8054\u76df cxounion.cn<\/mark><\/p>\n\n\n\n<p>2.By disrupting existing value chains and business models, generative AI can bypass traditional middlemen, such as publishers and distributors, and create and distribute content directly, thereby increasing customer engagement.<\/p>\n\n\n\n<p>Reduce costs and improve performance: GenAI&#8217;s capabilities simplify processes and speed results, whether by improving the efficiency of human workers (such as summarizing, simplifying, and classifying content), generating software code, or optimizing chatbot performance. In addition, GenAI can leverage previously unused data to achieve cost reductions and productivity gains.<\/p>\n\n\n\n<h4 class=\"wp-block-heading\">Reference methods for measuring the success of artificial intelligence<\/h4>\n\n\n\n<p>Organizations with broad, deep, long-term AI experience aren&#8217;t busy inrolling, cross-rolling, measuring success in terms of project numbers, task completions, or output.<\/p>\n\n\n\n<p>Instead, they focus more on business health metrics rather than financial fulfillment metrics, use specific attribution models and measures tied to each specific case, organize flat and agile, focus on the client&#8217;s business scenario, and listen to the client rather than the office staff.<\/p>\n\n\n\n<h4 class=\"wp-block-heading\">Business indicators include, but are not limited to, the following:<\/h4>\n\n\n\n<p>Business growth: potential for Cross selling or service portfolio, price increase, demand assessment, monetization of new assets, etc.<\/p>\n\n\n\n<p>&#8220;New asset monetization&#8221; refers to the process of converting new assets created by a business into revenue and value. These new assets can be virtual, non-physical, and are often based on knowledge, technology, data, and network resources.<\/p>\n\n\n\n<p>Taking the example of monetizing data assets, many businesses have rich data resources that they can turn into revenue and value. For example, an Internet company can sell its service analytics data to advertisers to help it improve marketing and thus generate advertising revenue.<\/p>\n\n\n\n<p>Customer success: retention rate, customer satisfaction, customer wallet share, etc.<mark style=\"background-color:rgba(0, 0, 0, 0)\" class=\"has-inline-color has-white-color\">CXO UNION CXO\u8054\u76df cxounion.cn<\/mark><\/p>\n\n\n\n<p>3, cost effectiveness: inventory reduction, production costs, employee productivity, asset optimization, etc.<\/p>\n\n\n\n<p>Organizations that involve an AI team and senior advisors in defining success metrics are more likely to use AI strategically and successfully than those that rely on staff involvement to determine success metrics. The choice between respecting the market, technology, and knowledge or deference is a difficult one for many large organizational transitions.<\/p>\n\n\n\n<p>Enterprises can set up an excellent team that is fully authorized, does not allow excessive intervention, and gives sufficient patience or even a small company that runs independently. In short, the farther away from mechanized complex staff management, the easier the innovation strategy is to succeed.<\/p>\n\n\n\n<p>In selecting metrics, the AI strategic innovation team should fully respect the multidimensional feedback of data management experts, business analysts, domain experts, risk management experts, data scientists, IT and development teams, and should reach a virtual form of long-term cooperation organization with the above roles, and gradually transition to a stable collaborative team.<\/p>\n\n\n\n<h4 class=\"wp-block-heading\">Remove barriers to effectively capturing the value of AI<\/h4>\n\n\n\n<p>According to Gartner research, by 2026, more than 100 million people will work alongside robots for businesses. By 2033, the introduction of AI solutions will further enhance the delivery of tasks, activities or jobs by means of automation and will generate more than 500 million new human jobs. This is an exciting conclusion, humans are not replaced by AI, but to upgrade their knowledge and capabilities to adapt to the environment with AI.<\/p>\n\n\n\n<p>For the GenAI project obstruction problem, the enterprise can appoint an executive leader to support the required organizational change, and the management style should be open and inclusive.<\/p>\n\n\n\n<p>For example, put the chief Data Officer (CDO) in charge of driving the initiative and make sure other executives are involved and fully supportive. If your organization lacks the data literacy needed to drive AI projects, include executives (not just employees) in data literacy training and practice in practice.<\/p>\n\n\n\n<p>Sixth, to recognize and shield artificial intelligence risks<\/p>\n\n\n\n<h4 class=\"wp-block-heading\">Here are some examples of the risks associated with AI:<\/h4>\n\n\n\n<p>1.The Telecommunications network crime Investigation Bureau of a municipal Public Security Bureau released a case of telecommunications fraud using intelligent AI technology, and Mr. Guo, the legal representative of a technology company, was cheated of 4.3 million yuan within 10 minutes. Source: China Youth Daily<\/p>\n\n\n\n<p>2.a crime-fighting robot made by the Knightscope platform knocked down and injured a 16-month-old boy in a Silicon Valley mall\u2026<mark style=\"background-color:rgba(0, 0, 0, 0)\" class=\"has-inline-color has-white-color\">CXO UNION CXO\u8054\u76df cxounion.cn<\/mark><\/p>\n\n\n\n<p>The risks of artificial intelligence need to be adequately assessed. With the emergence of industry regulations and frameworks regarding AI, understanding the regulations in specific jurisdictions has become critical. At the same time, the use of AI may also raise questions about ethics and accountability, and new regulations are bound to continue to be introduced, which may respond to changing public perceptions of its use.<\/p>\n\n\n\n<h4 class=\"wp-block-heading\">In general, you need to be prepared for the following main types of risks:<\/h4>\n\n\n\n<h5 class=\"wp-block-heading\">1.Regulatory risks:<\/h5>\n\n\n\n<p>The application of AI by enterprises may expose organizations to the risk of litigation for infringement of copyright or protected content, information, and data. Regulations change rapidly, so be aware of local and jurisdictional AI regulations to ensure compliance with regulatory policies. Also focus on industry-specific regulations, such as life science services, financial services, geographic services.<\/p>\n\n\n\n<h5 class=\"wp-block-heading\">2.Reputational risk: <\/h5>\n\n\n\n<p>AI can amplify bias and create a &#8220;black box&#8221; where users cannot see inputs and actions. Suppliers that do not provide transparency into training datasets risk harmful output. Ai services that are not adequately tested and audited can lead to poor decisions and even social business risks. Organizations need to build strong protections to prevent the loss of intellectual property or customer data when building or purchasing generative AI services.<\/p>\n\n\n\n<h5 class=\"wp-block-heading\">3.Capability risk: <\/h5>\n\n\n\n<p>In the short term, there will be increasing demand for skills in areas such as agile engineering and artificial intelligence. AI requires unique skills, and the rapid introduction of AI could have a direct impact on existing organizations and people, increasing the capabilities of existing talent while simultaneously absorbing new talent from academia and startups.<\/p>\n\n\n\n<h5 class=\"wp-block-heading\">4.error output risk: <\/h5>\n\n\n\n<p>GenAI may be unstable or inaccurate in reasoning, unable to fully understand the context, with limited interpretability and traceability, and even biased.<\/p>\n\n\n\n<h5 class=\"wp-block-heading\">5.Security risks: <\/h5>\n\n\n\n<p>Once any confidential information entered into the public application is stored, it can be used to train new versions of the model. This means that sensitive data and intellectual property can be accessed by users outside the organization, including malicious actors.<\/p>\n\n\n\n<p>In the face of AI applications, compliance departments, legal departments, and operations departments of enterprises will assume more important responsibilities, and relevant principles and policies need to be formulated for the governance, credibility, fairness, reliability, robustness, effectiveness, and privacy of artificial intelligence to deal with potential security threats in the continuous evolution of enterprises.<\/p>\n\n\n\n<p>Otherwise, businesses may experience negative AI outcomes and breaches, such as models not performing as expected, security and privacy concerns, financial and reputational damage, and harm to individuals.<\/p>\n\n\n\n<p>Organizations are advised to establish cross-functional dedicated teams or task groups, including legal, compliance, security, IT, data analytics, and business representatives, to get the best results for AI risk assessment and planning.<\/p>\n\n\n\n<h4 class=\"wp-block-heading\">Joint evaluation of GenAI can be carried out from the following aspects<\/h4>\n\n\n\n<p>1.Data privacy protection assessment: compliance with the processing and storage of personal data to ensure that privacy regulations are not violated.<\/p>\n\n\n\n<p>2.Bias and discrimination assessment: whether there is bias and discrimination, including discrimination based on race, sex, age or other characteristics.<\/p>\n\n\n\n<p>3.Transparency assessment: whether to provide sufficient transparency and understandability, so that users can understand the basis for their decisions and recommendations.<\/p>\n\n\n\n<p>4. Security assessment: GEN AI&#8217;s system and network security, to ensure that there are sufficient protection measures against external attacks, to prevent data leakage or tampering.<\/p>\n\n\n\n<p>5.Fairness assessment: Whether GEN AI is fair in allocating resources, providing services or making decisions without undue impact on specific groups of people.<\/p>\n\n\n\n<p>6.Specification conformance assessment: Whether GEN AI meets the requirements of laws, regulations and industry norms to ensure compliance.<\/p>\n\n\n\n<p>7.Interpretability assessment: whether the output results of GEN AI are interpretable and can provide transparent explanations and solutions.<mark style=\"background-color:rgba(0, 0, 0, 0)\" class=\"has-inline-color has-white-color\">CXO UNION CXO\u8054\u76df cxounion.cn<\/mark><\/p>\n\n\n\n<p>8.User rights protection assessment: Whether GEN AI protects user rights, including the security and privacy of user data.<\/p>\n\n\n\n<p>9.Machine-aided decision evaluation: GEN AI&#8217;s correctness and reliability in supporting the decision process, including the ability to deal with risk and uncertainty.<\/p>\n\n\n\n<p>10.Social Impact Assessment: The impact GEN AI may have on society, including employment, economic, ethical and cultural impacts.<\/p>\n\n\n\n<h4 class=\"wp-block-heading\">Enterprises should focus on solving the problem of use case selection of AI<\/h4>\n\n\n\n<p>Use case selection for AI should be based on prioritization of business impact and feasibility, including industry cases using GenAI.<\/p>\n\n\n\n<p>Business stakeholders should clearly express their expectations for tangible business advantages by asking:<\/p>\n\n\n\n<p>1.What problem should the enterprise solve?<\/p>\n\n\n\n<p>2.Who is the main user or customer?<\/p>\n\n\n\n<p>3.Which business processes are most in need of AI?<\/p>\n\n\n\n<p>4.Which expert in the line of business can guide the development of the solution rather than leaving IT to IT or letting management make blind decisions?<\/p>\n\n\n\n<p>5.How to measure the effect and impact after implementation?<\/p>\n\n\n\n<p>6.How to monitor and operate AI value? What is the business responsible for? What is IT responsible for? Who else is involved\u2026 ?<\/p>\n\n\n\n<h4 class=\"wp-block-heading\">The technology side should link the business and answer the questions of requirements definition, project implementation and long-term support:<\/h4>\n\n\n\n<p>1.Technical definition of business requirements, conceptual design of business use cases, auxiliary opportunity assessment?<\/p>\n\n\n\n<p>2.How to set priorities, create teams, and control projects in project management?<mark style=\"background-color:rgba(0, 0, 0, 0)\" class=\"has-inline-color has-white-color\">CXO UNION CXO\u8054\u76df cxounion.cn<\/mark><\/p>\n\n\n\n<p>3.How to continue operation after the launch?<\/p>\n\n\n\n<p>4.It must be tested before the formal application of AI<\/p>\n\n\n\n<p>When introducing AI technology, pilot tests should be carried out first, rather than blindly engaging in comprehensive AI strategies. <\/p>\n\n\n\n<h4 class=\"wp-block-heading\">Here are five reference steps for introducing AI technology:<\/h4>\n\n\n\n<p>1.Use Cases: Build a set of use cases that have real impact, are measurable, and can be resolved quickly.<\/p>\n\n\n\n<p>2.Skills: Gather professionals related to use cases.<\/p>\n\n\n\n<p>3.Data: Collect appropriate data related to the selected example.<\/p>\n\n\n\n<p>4.Technology: Select AI technologies related to use cases, skills, and data.<\/p>\n\n\n\n<p>5.Organization: Establish an artificial intelligence team with professional knowledge and experience.<\/p>\n\n\n\n<p>This five-step approach is a tactical, temporary approach to introducing AI technology that helps deliver value quickly. However, it should be noted that this is not a strategic long-term plan, it needs to be iterated constantly, and become a dynamic strategy from a long-term perspective, just as multiple flexible guerrilla wars, mobile wars of different sizes and sizes finally completed the national liberation.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">In use case selection, feasibility is as important as business value, if not more important.<\/h3>\n\n\n\n<p>Identifying valuable use cases should be targeted at specific pilot project tests and accompanied by tangible business outcomes. In general, when the risk is high and the feasibility is low, there may be a higher return on accidental success and potentially counterintuitive investment, but regardless of the apparent business value, projects that cannot be realized using existing technology and data should be pursued with caution.<\/p>\n\n\n\n<p>Overall consideration of feasibility standards<\/p>\n\n\n\n<p>Is a use case that has significant business value and seems easy to implement necessarily going to be popular?Not necessarily.<\/p>\n\n\n\n<p>Sometimes, a breakthrough and innovative idea can indeed create a new market or improve the existing market, thus causing great changes, but due to objective factors such as large enterprise organization, outdated management style, slow action, etc., it may also miss the best opportunity, and even objectively the change itself is deeply contradicted. Or it could be that not just this one company, but the entire regional market misses an opportunity that was already a good flash, which can also happen, which is more complicated.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">For the question of feasibility, enterprises should consider three aspects:<\/h3>\n\n\n\n<p>1.Technical feasibility: the possibility of being able to advance business use cases to the advanced level.<mark style=\"background-color:rgba(0, 0, 0, 0)\" class=\"has-inline-color has-white-color\">CXO UNION CXO\u8054\u76df cxounion.cn<\/mark><\/p>\n\n\n\n<p>2.Internal feasibility: culture, leadership style and ability, identity, skills and professional environment and other factors.<\/p>\n\n\n\n<p>3.External feasibility: Factors such as regulations, social acceptance and external infrastructure.<\/p>\n\n\n\n<p>4.Data feasible: Artificial intelligence is highly dependent on data technology, without a supporting data strategy, enterprises will not be able to make full use of artificial intelligence. 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