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Driving Digital Transformation through Data and AI

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Driving Digital Transformation through Data and AI

A Practical Guide to Delivering Data Science and Machine Learning Products

Kogan Page,

15 min read
7 take-aways
Audio & text

What's inside?

This practical and detailed guide will help you understand how to support digital transformations in your company. 

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Editorial Rating

7

Qualities

  • Applicable
  • Concrete Examples
  • Insider's Take

Recommendation

This practical and richly-detailed guide to digital transformation will prove invaluable to anyone involved in corporate AI and data science initiatives. Unlike authors who write about digital transformation mainly from a strategic perspective, Alexander Borek and Nadine Prill focus on the practical, providing actionable advice at the middle manager and individual contributor levels. The authors share their blueprint for successful digital transformation, including everything from which tools and coding languages to use in building digital products, to a process for data-driven culture change. 

Summary

Embrace digitization, data-based decision-making and artificial intelligence (AI) – or perish.

Digitization, machine learning and AI aren’t recent inventions, but only recently has the combination of ubiquitous data, cheap and powerful storage, massive processing power and connectivity emerged. This evolution means that more people in more places can develop intelligent digital products, which, in turn, sparks more and faster disruption.

Nowadays, data – especially unique data – is among the most valuable assets a firm can own. Whatever the industry, organizations should develop the capacity to identify important data, gather, process and analyze that data, and to leverage it for competitive advantage. That means hiring people with expertise in data science, software engineering and AI. Companies must also recruit professionals who can lead end-to-end digital product development and lifecycle management.

Virtually every firm must develop new business models that reflect the ways digital technologies, AI and machine learning are changing industry standards and customer needs. Although AI outperforms humans in specific activities – identifying...

About the Authors

Formally the global lead for AI and data analytics at Volkswagen, Alexander Borek consults with firms on data science and machine learning strategy. Nadine Prill leads in the development of machine learning data products at Taktile in Berlin.

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