search
HomeTechnology peripheralsAISeven predictions for artificial intelligence in 2023 from IT leaders
Seven predictions for artificial intelligence in 2023 from IT leadersApr 12, 2023 am 10:55 AM
AIautomationit career expert

The potential impacts of AI are wide-ranging, as are related predictions, from sensing, to generative and responsible AI, to collaboration and automation. What will matter to IT leaders in 2023? We asked AI and IT career experts for their opinions.

Machine learning will help correct artificial intelligence bias. In conversational AI, systems that ‘know the customer’ by leveraging customer-specific information will also reduce bias.

This is just a starting point. Let’s dig into other key trends.

1. CTOs will be picky about the details of AI

CTOs need to provide healthcare providers with technology that improves services and processes. After all, healthcare providers want their doctors to focus on medical care, not technology. CTOs should not buy into AI because it is AI, or because it is the latest and greatest technology. Instead, CTOs should consider potential AI products. How does it work in their specific organization? How will it improve business processes? This is critical. Before, you could say, “We’re implementing AI or digital transformation,” and get a blank check, but that’s not going to be popular anymore. Organizations want to see results and need to be able to measure impact. CTOs can’t just make a big statement that AI is the future and get whatever budget they want. 2

2. Breakthrough impact of artificial intelligence technology

In the next few years, artificial intelligence will make huge breakthroughs in treating diseases. Just look at the 2021 Breakthrough Prize winner Dr. David Baker. Dr. Baker used artificial intelligence to design entirely new proteins. This breakthrough technology will continue to have a huge impact in the life sciences, with the potential to develop life-saving drugs for diseases such as Alzheimer's and Parkinson's disease.

The intersection from fundamental physics to informatics, under the guise of quantum and quantum computing. While I have no hope for practical quantum computers, we will see crossover. Perhaps one of the more interesting examples is Andy Brig's QuantrolOx, where artificial intelligence is used to tune quantum computers!

The combination of advanced mathematics and informatics will unleash a new generation of engineers who are using artificial intelligence to We are in a unique position in terms of the smart wave.

3. At the Crossroads of Artificial Intelligence and Human Intelligence

While AI will increasingly be adopted to improve our collective user experience at scale, it will not work with appropriate balanced by human intervention. The insights provided by humans applying AI will be a more effective combination than either alone. How and where this balance is achieved will depend on the industry and the importance of the function being performed. For example, radiologists assisted by artificial intelligence have a higher success rate in screening for breast cancer than when they work alone, according to a new study. The same AI also produces more accurate results in the hands of radiologists than when performed alone.

4. Responsible and generative AI capabilities are improving

We can expect to see some major AI trends in 2023, two of which are responsible Artificial intelligence and generative artificial intelligence. Responsible or ethical AI has been a hot topic for some time, but we’ll see it move from concept to practice over the next year. Smarter technologies and emerging legal frameworks around artificial intelligence are also steps in the right direction. For example, the Artificial Intelligence Act (AIAct) is a proposal to be the first European law aimed at managing the risks of artificial intelligence use cases. Similar to the GDPR on data usage, the AI ​​Bill could become a baseline standard for responsible AI and is expected to become law next spring. This will have an impact on companies using AI globally.

The second is generative AI, which will also make significant progress in the next 12 months. Recent models make it easy to create realistic images and drawings from natural language descriptions. Features like this are now moving from being cool features to actual business use cases. Many companies offer products that can help you draft essays, advertising copy, or love letters. Instead of searching through stock photos, you can enter a query and get newly generated images. And this is just the beginning - people have only scratched the surface of generative voice and video applications, so it will be interesting to see innovations and use cases emerge in the coming year.

5. Stronger collaboration between business and IT teams

In 2023, as businesses prepare for greater economic volatility, it’s not just about doing more with less There will be greater pressure to demonstrate the commercial value of artificial intelligence from the beginning. While IT leaders recognize the benefits of AI in improved automation, insights and efficiency, AI still requires greater collaboration between business and IT to ensure the technology truly solves business problems and needs.

Another trend we’re already seeing is that entire organizations continue to fully embrace artificial intelligence. From data models to AI chips, a variety of software and hardware solutions are focused on grabbing a piece of the lucrative AI pie.

6. Artificial intelligence will change the efficiency and output of organizations

There has been discussion about whether artificial intelligence will have sentient capabilities and pose a threat to humans, which greatly overestimates the current capabilities of artificial intelligence . Artificial intelligence has accomplished many tasks that would take humans thousands of hours to accomplish: beating chess masters, identifying broken bones in X-rays, choosing the fastest route for a delivery truck, and more. But AI doesn’t “understand” how it accomplishes these tasks. It doesn't explain why one move is more strategic than another - it just knows. But AI solves a vast number of tasks inside and outside the workplace.

To get the most out of it, we need to understand why AI can do so much even if it lacks human-like intelligence. For example, in the legal industry, where lawyers are still billed in 6-minute increments, can AI do many of the tasks that humans do? I predict that allocating more tasks to AI will lead to incremental changes in team efficiency and output.

7. AI drives and supports automation

Everyone understands the value of automation, and in our software-defined world, almost everything can be automated. However, automated decision points or trigger points remain one of the trickier factors. This is where AI will increasingly come into play: rather than automating traditional ‘if this then that’ rules, AI can make smarter, less fragile decisions.

The above is the detailed content of Seven predictions for artificial intelligence in 2023 from IT leaders. For more information, please follow other related articles on the PHP Chinese website!

Statement
This article is reproduced at:51CTO.COM. If there is any infringement, please contact admin@php.cn delete
2023年机器学习的十大概念和技术2023年机器学习的十大概念和技术Apr 04, 2023 pm 12:30 PM

机器学习是一个不断发展的学科,一直在创造新的想法和技术。本文罗列了2023年机器学习的十大概念和技术。 本文罗列了2023年机器学习的十大概念和技术。2023年机器学习的十大概念和技术是一个教计算机从数据中学习的过程,无需明确的编程。机器学习是一个不断发展的学科,一直在创造新的想法和技术。为了保持领先,数据科学家应该关注其中一些网站,以跟上最新的发展。这将有助于了解机器学习中的技术如何在实践中使用,并为自己的业务或工作领域中的可能应用提供想法。2023年机器学习的十大概念和技术:1. 深度神经网

人工智能自动获取知识和技能,实现自我完善的过程是什么人工智能自动获取知识和技能,实现自我完善的过程是什么Aug 24, 2022 am 11:57 AM

实现自我完善的过程是“机器学习”。机器学习是人工智能核心,是使计算机具有智能的根本途径;它使计算机能模拟人的学习行为,自动地通过学习来获取知识和技能,不断改善性能,实现自我完善。机器学习主要研究三方面问题:1、学习机理,人类获取知识、技能和抽象概念的天赋能力;2、学习方法,对生物学习机理进行简化的基础上,用计算的方法进行再现;3、学习系统,能够在一定程度上实现机器学习的系统。

超参数优化比较之网格搜索、随机搜索和贝叶斯优化超参数优化比较之网格搜索、随机搜索和贝叶斯优化Apr 04, 2023 pm 12:05 PM

本文将详细介绍用来提高机器学习效果的最常见的超参数优化方法。 译者 | 朱先忠​审校 | 孙淑娟​简介​通常,在尝试改进机器学习模型时,人们首先想到的解决方案是添加更多的训练数据。额外的数据通常是有帮助(在某些情况下除外)的,但生成高质量的数据可能非常昂贵。通过使用现有数据获得最佳模型性能,超参数优化可以节省我们的时间和资源。​顾名思义,超参数优化是为机器学习模型确定最佳超参数组合以满足优化函数(即,给定研究中的数据集,最大化模型的性能)的过程。换句话说,每个模型都会提供多个有关选项的调整“按钮

得益于OpenAI技术,微软必应的搜索流量超过谷歌得益于OpenAI技术,微软必应的搜索流量超过谷歌Mar 31, 2023 pm 10:38 PM

截至3月20日的数据显示,自微软2月7日推出其人工智能版本以来,必应搜索引擎的页面访问量增加了15.8%,而Alphabet旗下的谷歌搜索引擎则下降了近1%。 3月23日消息,外媒报道称,分析公司Similarweb的数据显示,在整合了OpenAI的技术后,微软旗下的必应在页面访问量方面实现了更多的增长。​​​​截至3月20日的数据显示,自微软2月7日推出其人工智能版本以来,必应搜索引擎的页面访问量增加了15.8%,而Alphabet旗下的谷歌搜索引擎则下降了近1%。这些数据是微软在与谷歌争夺生

荣耀的人工智能助手叫什么名字荣耀的人工智能助手叫什么名字Sep 06, 2022 pm 03:31 PM

荣耀的人工智能助手叫“YOYO”,也即悠悠;YOYO除了能够实现语音操控等基本功能之外,还拥有智慧视觉、智慧识屏、情景智能、智慧搜索等功能,可以在系统设置页面中的智慧助手里进行相关的设置。

人工智能在教育领域的应用主要有哪些人工智能在教育领域的应用主要有哪些Dec 14, 2020 pm 05:08 PM

人工智能在教育领域的应用主要有个性化学习、虚拟导师、教育机器人和场景式教育。人工智能在教育领域的应用目前还处于早期探索阶段,但是潜力却是巨大的。

30行Python代码就可以调用ChatGPT API总结论文的主要内容30行Python代码就可以调用ChatGPT API总结论文的主要内容Apr 04, 2023 pm 12:05 PM

阅读论文可以说是我们的日常工作之一,论文的数量太多,我们如何快速阅读归纳呢?自从ChatGPT出现以后,有很多阅读论文的服务可以使用。其实使用ChatGPT API非常简单,我们只用30行python代码就可以在本地搭建一个自己的应用。 阅读论文可以说是我们的日常工作之一,论文的数量太多,我们如何快速阅读归纳呢?自从ChatGPT出现以后,有很多阅读论文的服务可以使用。其实使用ChatGPT API非常简单,我们只用30行python代码就可以在本地搭建一个自己的应用。使用 Python 和 C

人工智能在生活中的应用有哪些人工智能在生活中的应用有哪些Jul 20, 2022 pm 04:47 PM

人工智能在生活中的应用有:1、虚拟个人助理,使用者可通过声控、文字输入的方式,来完成一些日常生活的小事;2、语音评测,利用云计算技术,将自动口语评测服务放在云端,并开放API接口供客户远程使用;3、无人汽车,主要依靠车内的以计算机系统为主的智能驾驶仪来实现无人驾驶的目标;4、天气预测,通过手机GPRS系统,定位到用户所处的位置,在利用算法,对覆盖全国的雷达图进行数据分析并预测。

See all articles

Hot AI Tools

Undresser.AI Undress

Undresser.AI Undress

AI-powered app for creating realistic nude photos

AI Clothes Remover

AI Clothes Remover

Online AI tool for removing clothes from photos.

Undress AI Tool

Undress AI Tool

Undress images for free

Clothoff.io

Clothoff.io

AI clothes remover

AI Hentai Generator

AI Hentai Generator

Generate AI Hentai for free.

Hot Article

R.E.P.O. Energy Crystals Explained and What They Do (Yellow Crystal)
2 weeks agoBy尊渡假赌尊渡假赌尊渡假赌
Repo: How To Revive Teammates
4 weeks agoBy尊渡假赌尊渡假赌尊渡假赌
Hello Kitty Island Adventure: How To Get Giant Seeds
3 weeks agoBy尊渡假赌尊渡假赌尊渡假赌

Hot Tools

WebStorm Mac version

WebStorm Mac version

Useful JavaScript development tools

SublimeText3 Mac version

SublimeText3 Mac version

God-level code editing software (SublimeText3)

SublimeText3 Chinese version

SublimeText3 Chinese version

Chinese version, very easy to use

Safe Exam Browser

Safe Exam Browser

Safe Exam Browser is a secure browser environment for taking online exams securely. This software turns any computer into a secure workstation. It controls access to any utility and prevents students from using unauthorized resources.

Dreamweaver Mac version

Dreamweaver Mac version

Visual web development tools