Internally, the company has identified over 300 use cases where generative AI can have a tangible impact. This is across aspects like service delivery, consulting and technology, taking a foundation model and training it with internal data to create a private model for the company.
The company is seeing early adopters in the financial services, retail and government sectors start trial projects, he said and added that cost would also be a factor in determining how fast enterprises would adopt these tools.
The potential to unlock the transformative power of AI ranges from unlocking the power of creativity, driving technology transformation through intelligent automation powered by AI and empowering human and AI collaboration, said Ghosh.
![\"\"](\"\/\/www.iser-br.com\/Themes\/Release\/images\/responsive\/ettelecom-default.jpg\")
However, given that it’s still early days, one needs to be careful. “There are issues related to hallucinations – sometimes it just gives you the wrong answer,” said Ghosh. “We believe generative AI is not the solution for everything in the enterprise,” he said. Accenture has identified five broad areas where generative AI can be implemented – advising, creating, automation, software creation and protection.
Ghosh said that Accenture was working with a global broadcast company to explore how generative AI can help scale the industry through deeper and personalized experiences to drive audience engagement and growth. It is also working with a multinational bank to use generative AI to route large numbers of post-trade processing emails and draft responses with recommended actions to reduce manual effort and risk.
Accenture has set up a Generative AI and LLM (large language model) Centre of Excellence (CoE), with 1600 employees, a large part of which is in India<\/a>. There are another 40,000 employees trained in deep artificial intelligence who work with this team. “It hosts the incubation and scale up engine for capability building, innovation, assets, solutions, and delivery. It is building the talent architecture, assessing the skill sets needed and how we need to shift ourselves to working in the new space. A large part of the COE is in India, and it also includes a Generative AI Academy<\/a> based in India that is responsible for driving the skilling agenda,” said Ghosh.
Ghosh expects generative AI implementation projects to pick up further over the next two-three years. “It will help companies define the new performance frontier with this power of generative AI. It will unlock the creativity of these people, human and AI working together will come to a new level,” he said. What’s needed are responsible AI guidelines, which are extremely important for any company to adopt AI within the organisation.
On data privacy concerns, Ghosh said that Accenture has a responsible AI practice where it works with clients on creating an overarching artificial intelligence strategy which is the first step towards having a responsible AI framework. On client data, Ghosh said that the company had clearly defined in which way that data can and cannot be used.
<\/body>","next_sibling":[{"msid":100527051,"title":"India\u2019s Prodapt to invest $7 million in Panama, generate 500 jobs","entity_type":"ARTICLE","link":"\/news\/enterprise-services\/indias-prodapt-to-invest-7-million-in-panama-generate-500-jobs\/100527051","category_name":null,"category_name_seo":"enterprise-services"}],"related_content":[{"msid":"100574789","title":"Accenture","entity_type":"IMAGES","seopath":"tech\/information-tech\/accenture-spots-300-plus-use-cases-where-generative-ai-can-deliver-global-chief-strategy-officer-bhaskar-ghosh\/accenture","category_name":"Accenture spots 300 plus use cases where generative AI can deliver: Chief strategy officer Bhaskar Ghosh","synopsis":false,"thumb":"https:\/\/etimg.etb2bimg.com\/thumb\/img-size-51912\/100574789.cms?width=150&height=112","link":"\/image\/tech\/information-tech\/accenture-spots-300-plus-use-cases-where-generative-ai-can-deliver-global-chief-strategy-officer-bhaskar-ghosh\/accenture\/100574789"}],"msid":100578670,"entity_type":"ARTICLE","title":"Accenture spots 300 plus use cases where generative AI can deliver: Chief strategy officer Bhaskar Ghosh","synopsis":"Even as Accenture, and its customers, are both excited about the potential of using generative AI, large language models and generative AI cannot be applied to every practice, Ghosh said.","titleseo":"enterprise-services\/accenture-spots-300-plus-use-cases-where-generative-ai-can-deliver-chief-strategy-officer-bhaskar-ghosh","status":"ACTIVE","authors":[{"author_name":"Priyanka Sangani","author_link":"\/author\/479183113\/priyanka-sangani","author_image":"https:\/\/etimg.etb2bimg.com\/authorthumb\/479183113.cms?width=100&height=100&hid=268","author_additional":{"thumbsize":true,"msid":479183113,"author_name":"Priyanka Sangani","author_seo_name":"priyanka-sangani","designation":"Assistant Editor","agency":false}},{"author_name":"Romita Majumdar","author_link":"\/author\/479256520\/romita-majumdar","author_image":"https:\/\/etimg.etb2bimg.com\/authorthumb\/479256520.cms?width=100&height=100&hid=268","author_additional":{"thumbsize":false,"msid":479256520,"author_name":"Romita Majumdar","author_seo_name":"romita-majumdar","designation":"Staff Reporter","agency":false}}],"analytics":{"comments":0,"views":994,"shares":0,"engagementtimems":4170000},"Alttitle":{"minfo":""},"artag":"ETtech","artdate":"2023-05-29 07:35:39","lastupd":"2023-05-29 07:37:07","breadcrumbTags":["accenture","generative ai","india","generative ai academy","bhaskar ghosh","Generative artificial intelligence","technology news"],"secinfo":{"seolocation":"enterprise-services\/accenture-spots-300-plus-use-cases-where-generative-ai-can-deliver-chief-strategy-officer-bhaskar-ghosh"}}" data-authors="[" priyanka sangani","romita majumdar"]" data-category-name="Enterprise Services" data-category_id="915" data-date="2023-05-29" data-index="article_1">
- 企业服务
- 3分钟阅读
埃森哲点300 +用例生成人工智能可以交付:Bhaskar Ghosh首席战略官
尽管埃森哲和它的客户,都是兴奋的潜力使用生成AI,大型语言模型和生成AI不能应用于每一个实践,Ghosh说。
读到
埃森哲咨询公司已经确定了一组用例在19个行业在哪里生成的人工智能可以提供显著的结果,Bhaskar Ghosh埃森哲全球首席战略官告诉ET在接受采访时说。他补充说,尽管埃森哲,和它的客户,都是兴奋的潜力使用生成AI,大型语言模型和生成AI不能应用于每一个实践。
内部,公司已经确定了300多个用例生成人工智能可以产生切实的影响。这是在服务交付等方面咨询和技术,采取地基模型和培训与内部数据模型创建一个私有的公司。
公司看到早期采用者的金融服务、零售和政府部门开始试验项目,他说,补充说,成本也是一个因素在决定企业会采用这些工具有多快。
可能解锁艾城的变革力量范围从释放创造力的力量,推动智能自动化技术转换由人工智能,让人类与人工智能协作,Ghosh说。
不过,鉴于它仍然是早期,需要小心些而已。“有问题的幻觉——有时只是给你错误的答案,“Ghosh说。“我们相信生成AI并非解决之道在企业所做的一切,”他说。埃森哲已经确定了五个广泛领域生成人工智能可以建议,实现创建、自动化、软件创建和保护。
Ghosh说埃森哲与全球广播公司合作,探索如何通过更深层次生成人工智能可以帮助该行业规模和个性化的经验来推动观众参与和增长。它还与跨国银行使用衍生AI路线大量交易后处理电子邮件和响应建议的行动来减少手动工作草案和风险。
埃森哲已经成立了一个生成AI和LLM(大语言模型)卓越中心(CoE),拥有1600名员工,其中很大一部分印度。还有40000名员工培训与这支球队在深工作的人工智能。“这主机的孵化和扩大引擎能力建设,创新,资产,解决方案,和交付。构建人才结构,评估所需的技能和我们需要转变自己如何在新工作空间。COE的很大一部分是在印度,它还包括一个生成人工智能学会总部位于印度负责驾驶斯奇林议程,”Ghosh说。
Ghosh预计生成人工智能实现项目进一步增长,未来2 - 3年。“这将帮助企业定义新的性能边界生成人工智能的力量。它会释放这些人的创造力,人类和AI合作会提高到一个新的水平,”他说。我们需要负责人工智能指导方针,这是非常重要的对于任何公司采用人工智能在组织内部。
数据隐私问题,Ghosh说埃森哲负责任的AI的做法,与客户建立一个包罗万象的人工智能策略的第一步有一个负责任的AI框架。在客户端数据,Ghosh说,该公司已经明确定义,数据可以和不能使用。
内部,公司已经确定了300多个用例生成人工智能可以产生切实的影响。这是在服务交付等方面咨询和技术,采取地基模型和培训与内部数据模型创建一个私有的公司。
公司看到早期采用者的金融服务、零售和政府部门开始试验项目,他说,补充说,成本也是一个因素在决定企业会采用这些工具有多快。
可能解锁艾城的变革力量范围从释放创造力的力量,推动智能自动化技术转换由人工智能,让人类与人工智能协作,Ghosh说。
不过,鉴于它仍然是早期,需要小心些而已。“有问题的幻觉——有时只是给你错误的答案,“Ghosh说。“我们相信生成AI并非解决之道在企业所做的一切,”他说。埃森哲已经确定了五个广泛领域生成人工智能可以建议,实现创建、自动化、软件创建和保护。
Ghosh说埃森哲与全球广播公司合作,探索如何通过更深层次生成人工智能可以帮助该行业规模和个性化的经验来推动观众参与和增长。它还与跨国银行使用衍生AI路线大量交易后处理电子邮件和响应建议的行动来减少手动工作草案和风险。
埃森哲已经成立了一个生成AI和LLM(大语言模型)卓越中心(CoE),拥有1600名员工,其中很大一部分印度。还有40000名员工培训与这支球队在深工作的人工智能。“这主机的孵化和扩大引擎能力建设,创新,资产,解决方案,和交付。构建人才结构,评估所需的技能和我们需要转变自己如何在新工作空间。COE的很大一部分是在印度,它还包括一个生成人工智能学会总部位于印度负责驾驶斯奇林议程,”Ghosh说。
Ghosh预计生成人工智能实现项目进一步增长,未来2 - 3年。“这将帮助企业定义新的性能边界生成人工智能的力量。它会释放这些人的创造力,人类和AI合作会提高到一个新的水平,”他说。我们需要负责人工智能指导方针,这是非常重要的对于任何公司采用人工智能在组织内部。
数据隐私问题,Ghosh说埃森哲负责任的AI的做法,与客户建立一个包罗万象的人工智能策略的第一步有一个负责任的AI框架。在客户端数据,Ghosh说,该公司已经明确定义,数据可以和不能使用。
评论
现在评论 阅读评论(1)所有评论
找到这个评论进攻?
下面选择你的理由并单击submit按钮。这将提醒我们的版主采取行动