法国Engie公司的首席数据官David Legendre解释了启动Artefact"AI数据工厂 "是如何帮助新技术比以往更快地从规划阶段变为现实的。

致力于Engie数据转型的AI数据工厂

The challenge for a new type of energy provider

ENGIE is a global leader in low-carbon energy and services, dedicated to the transition to a carbon-neutral world. Today, Engie provides competitively-priced electricity, gas and utilities to 10 million French homes. David Legendre puts it this way:

“Before, Engie was an energy vendor and was paid for that. Today, Engie helps clients consume less and is paid for that.”

But as with any company, retaining competitive edge means offering constant improvements.

Engie knew they needed a partner to help them get out of “laboratory mode” and into production mode, and that’s where Artefact stepped in.

“We struggled to expand our technology on a daily basis and over a long period of time. So, we chose Artefact to help us solve the issues that had the most importance from a business point of view”
explains David.
“For example, if a customer wanted to subscribe to an Engie offer, we needed a way to auto-fill his information to avoid errors. Improvements like these make all our customers’ lives easier.”

The solution: a new type of AI Factory

Artefact 我们咨询了Engie公司,并一起提出了一个新的方法:我们决定将Engie人工智能数据工厂配置成一个组织良好的餐厅厨房,每个人都有特定的角色,每件事都有自己的位置。

“In a kitchen, on one side, you have all the utensils – the data tools – needed to carry out our subjects”, says David. “On the other side, you have the recipes. Based on an ideation system, we identify use cases and prioritise them. And then there’s the brigade, the team that whips everything into shape.”

The “brigade” is our feature team, composed of IT, legal, data and digital experts from both Artefact and Engie and all other stakeholders. Working together, we prioritised creativity, rapidly industrialisable recipes, and cross-company support to ensure adoption and acculturation.

Results: Multiple successes each “season” 

对David来说,AI数据工厂的运作有点像电视节目。

“We’ve just finished the first season, and it was a great success.”

We’ve been collaborating with Engie for several years now, and thanks to our new system of working with them, Artefact identified four important use cases for Engie:

  • Marketing (called e=mc2): personalisation of marketing actions
  • Operations: maintenance of heating systems, for example
  • Satisfaction: call centre support
  • Customer experience: use of visual recognition and pre-fill of certain fields of Engie service subscription quotes

Artefact supported and challenged Engie throughout the season. We helped them create a framework and a methodology designed to be easily shareable throughout the entire company.

"我们今天再次开会,作为第二季的一部分,有很多要求比我们有能力生产的要多--这证明了这个人工智能数据工厂的成功。当你想到Artefact ,你想到的词是'加速'--当它涉及到重要的主题时"。
concludes David

47%的高管认为人工智能难以与现有流程和系统整合

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