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AI and machine learning are seen by many as capabilities with enormous potential for unlocking digital personalisation and customer empathy at scale. Organisations that get this right are disrupting industries and leaving old-school competitors broke. Just think of what global businesses like Netflix, Amazon and Facebook have been able to achieve with data-driven personalisation. Yet, for many organisations, the promise of AI seems elusive or at least very hard to achieve. Many businesses are not realising the full potential of their stores of data, simply because they don’t know how. To help us understand the potential of AI and ML for Customer Experience Management, I recently spoke to my friend and co-author of Demystifying AI for the Enterprise, Dr Kirk Borne. Kirk is a truly unique individual who combines his incredible intelligence with a real passion for his chosen vocation. Having graduated with a PhD in Astrophysics, he spent 20 years working at NASA, before moving into the academic and corporate worlds. He spent 12 years as Professor of Astrophysics and Computational Science, where he created the world’s first data science undergraduate degree. He since moved into data science consulting where he has been an executive for the past 6 years. Kirk has a social media following of well over 300,000 which is a testament to the huge amount of value he creates through content creation and knowledge sharing. In this episode of Leaders of Analytics, we discuss: What data science, AI and machine learning can bring to digital and analogue customer experiencesThe most valuable applications of AI for customer experience managementHow AI can be used to amplify the abilities of front-line staffLeading applications of AI-driven customer experienceThe technical and organisational challenges that must be overcome to move up the analytics maturity curveThe importance of ModelOps in operationalising data science

Free Data Storytelling Training Register before it sells out again! Our BI Data Storytelling Mastery Accelerator 3-Day Live Workshop new dates are finally available. Many BI teams are still struggling to deliver consistent, high-engaging analytics their users love. At the end of the workshop, you'll leave with a clear BI delivery action plan. Register today! In this episode, you'll learn: [00:40] Transformational Stories and Lessons Learned: 3 ways to use data storytelling in data science [19:50] Storytelling as a means of visualization. [26:52] How to think about answering the questions with data storytelling. For full show notes, and the links mentioned visit: https://bibrainz.com/podcast/56  

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How well prepared is your organization to innovate, using data science? In this report, two leading data scientists at the consulting firm Booz Allen Hamilton describe ten characteristics of a mature data science capability. After spending years helping clients such as the US government and commercial organizations worldwide build innovative data science capabilities, Peter Guerra and Dr. Kirk Borne identified these characteristics to help you measure your company’s competence in this area. This report provides a detailed discussion of each of the 10 signs of data science maturity, which—among many other things—encourage you to: Give members of your organization access to all your available data Use Agile and leverage "DataOps"—DevOps for data product development Help your data science team sharpen its skills through open or internal competitions Personify data science as a way of doing things, and not a thing to do