Agile Software Development: It’s Implication for AI products and Developers

Software developments is advancing the technological world today. This changes have far more reaching implications in I.T industries such as Big data, Artificial intelligence and Agile Software development methodologies. Competition in the software development ecosystem has made developers to build software that are quick and reliable and often referred to as Agile development. Agile transformation is real and requires rethinking the business management, recruitment process and data strategy in a bid to stimulate disruptive solutions from within in-house development and deployment. AI product development would require rapid transformational changes within any organization. This can be accomplished by establishing specific operating models that permit development teams with the freedom of technology choice. This publication highlights some operating models that can be adopted to improve the success of AI products using Agile software development methodologies.

当今，软件开发正持续推动全球科技领域的革新发展。此类变革对大数据（Big data）、人工智能（Artificial Intelligence）及敏捷软件开发方法论（Agile Software Development Methodologies）等信息技术产业的影响尤为深远。软件开发生态系统中的激烈竞争，促使开发者打造出兼具高效性与可靠性的软件产品，此类开发模式通常被称为敏捷开发。敏捷转型已是不争的现实趋势，其落地实施需要重新审视企业管理、招聘流程与数据战略，以期从内部开发与部署环节中催生颠覆性的解决方案。人工智能产品开发要求任何组织都需开展快速的转型变革。这一目标可通过构建特定的运营模式得以实现，该模式能够赋予开发团队技术选型的自主权。本出版物重点介绍了若干可被采用的运营模式，旨在借助敏捷软件开发方法论提升人工智能产品的研发成功率。