Home  Contact Us
  Follow Us On:
 
Search:
Advertising Advertising Free Newsletter Free E-Newsletter
Magazine
  
      2024       2023       2022       2021       2020       2019       2018       2017       2016       2015       2014       2013       2012       2011       2010       2009       2008

TECH: Unveiling the power of AI with solutions designed for enterprise
Share to

Unveiling the power of AI
with solutions designed for enterprise
By Rita Koch

BT 201912 TECH 08Unlocking the power of AI with solutions intended for each enterprise. Several enterprises saw the value in implementing AI and natural language processing to the business challenges. Still, not everyone has the necessary resources to go about it. Where does your organization start when you don't have information, or if the team was fully committed to all other tasks? Businesses have to get AI to their organizations quickly and easily for efficient functioning.

 

The goal was to make AI available for as many companies as possible from the outset. They launched Cloud AutoML last year, of instance, to help companies with minimal ML experience begin building their own high-quality customized models. They often implemented BigQuery ML, which brought the authority of predictive analysis to users around the world - including those with the background of data science. But for these products, we have seen some incredible rise in prices.

 

人工智能与计算机科学紧密相连,模仿人类的思维模式,帮助公司从海量数据中洞察、分析和解决实际问题。从视觉感知,语音识别到实时翻译,人工智能无处不在,其优势被认为是“提供可用于决策的信息自动化交互。

 

今天,几乎每个大公司对于如何利用深度学习是感兴趣的,但缺乏可用的深度学习人才和建立一个深度学习团队进行大规模深度学习项目的启动成本。即使是那些已经开始深度学习的公司,也很少能够达到像Google系统也很少能够达到像Google系统那样的精确度或速度。Cloud AutoML Vision代表着Google在这个点击式神经网络崭新世界中迈出的第一步。企业不再需要自己内部的人工智能人员来利用深度学习:只需通过Web界面上传几十个示例图像,点击一个按钮即可获得一个训练有素的神经网络,可以立即部署其具有生产准确性和生产规模,在神经准确度水平上每秒处理数百万个请求。Google甚至提供自己的注释人员来标记上传的图像,并与客户合作优化他们的训练数据。

BT 201912 TECH 07Today, they are excited to announce the number of new tools and provide a simple way of using AI to solve common business difficulties — like data processing, supply and demand prediction, or various touchpoints to customer care, including chatbots, devices, and emails.

 

Here is what is new:
• Contact the Centre AI
• Google Cloud for a Retail
• Doc Understanding AI
• Search Vision Product
• Al Recommendations

 

为了加强客户关系,提供独特的体验并增加收入,公司开始使用人工智能。尖端的公司开始使用人工智能和机器学习,以改变自身与客户互动的方式,加强这样的关系,从竞争对手中脱颖而出并增加收入。

 

这种转型的核心是聊天机器人、推荐引擎、个性化沟通(personalized communications)、智能广告定向和图像识别等技术。Gartner的分析师John-David Lovelock预测,到2022年,人工智能所带来的商业价值将增加三倍以上,达到3.9万亿美元——客户体验的改善是这一增长的关键。

031What is Artificial Intelligence?

 

Artificial Intelligence relates to the computer science profession, which deals with smart computer networks that imitate human-like learning, talking, with the behaviour for deep company insights, forecasts, decision-making, issue-solving, and analysis.

 

Pioneer computer programmer and researcher, John McCarthy, former Stanford University professor, was using the word in 1956. In designing collaborative computer systems, the role of creating an AI programming language – LISP – becomes instrumental. He had also been known to play chess to citizens in Russia and use a telegraph!

 

Across all sorts of backgrounds, artificial intelligence was used, from software-generated visual perception to voice recognition and actual-time translation. Its ability to access, analyse, collect insights from vast amounts of data renders a compelling tech to enhance an organization's customer satisfaction. Forty-four percent of executives agreed that the essential advantage of artificial intelligence, as per Narrative Science, was "automated interactions, which provide information which can be used to make decisions."

032Activate insights from documentation with Data Knowledge AI - now and in beta

 

Many businesses have billions in papers — and this can require several hours for manual input to transfer the data through electronic or cloud-based solutions, where it could easily be reached and evaluated. Many organizations need a means of automating this function, as well as archiving records into one web-based system from various information providers.

 

Today, we have Document Understanding AI, also in beta, offering another scalable and serverless new platform for the automatic transmission classification, extraction, and enrichment of data in your own scanned or digital legal documents. Data Understanding AI will help simplify data storage workflows by converting the records of all into unstructured data. All of this ensures you will take all of the whole secret information, perspectives, interactions, and expertise in your informal reports to start making the right business decisions that are informed by evidence quicker and more reliably.

 

Customers using custom data recognition, for instance, also achieved accuracy of up to 96 percent. Report Understanding AI combines seamlessly to the client, and third-party software stacks — Iron Mountain, File, Egnyte, Taulia, UiPath, DocuSign, and Accenture already use it now.

 

Activate insights from documentation with Data Knowledge AI - now and in beta

 

It can also be highly beneficial to use AI's power to affect CX. This is how:

BT 201912 TECH 02Reduced costs while using online customer service communication officers. By 2020, intelligent agents can handle 40 percent in phone communications, as per the Gartner. They also predict which customers can manage 85% for their relationship without interacting with such a human being.

BT 201912 TECH 03Consistent chatbot’s experiences improve loyalty. Advanced data analysis predicts future results and reveals useful insights for further intelligent decision-making. In reality, Gartner estimates that throughout the channels, and from the end for 2018, digital consumer help will acknowledge clients by voice and face.

BT 201912 TECH 04Better integration to most CRM and CX systems guarantees that your information fully backs your business strategy.

 

Conclusion

 

Thus, with the help of AI, you can use accurate product data to improve connections. You can also review the unstructured data that shows previously undiscovered patterns and trends.

    Subscription    |     Advertising    |     Contact Us    |
Address: Magnetic Plaza, Building A4, 6th Floor, Binshui Xi Dao.
Nankai District. 300381 TIANJIN. PR CHINA
Tel: +86 22 23917700
E-mail: webmaster@businesstianjin.com
Copyright 2024 BusinessTianjin.com. All rights reserved.