Capabilities resources and assets cras

Step 2 of the GenAI Playbook Is a Rate of Learning Marathon Plus Building Intelligence Capabilities (6 of 6) (Tech Strategy)

Step 2 of the GenAI Strategy transcends traditional approaches by emphasizing the rate of learning and marathon-like endurance in developing intelligence capabilities. This article delves into how organizations can leverage these strategies to gain a competitive edge in technology. Learn the key components that make up a successful AI strategy and how they can transform your business’s tech trajectory.

Will Automatic Data Processing (ADP) Win Big in Human Capital and Non-Human Workforces? (Tech Strategy – Podcast 195)

The future of work is not just about humans, but also about non-human workforces such as robots, software, and AI. How can ADP, a company that has been serving human capital for decades, adapt and thrive in this new era? In this podcast, Jeff Towson discusses ADP’s strengths, challenges, and opportunities in the changing landscape of work.

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Why Prediction and Machine Learning Are Not Competitive Advantages Yet (Tech Strategy – Podcast 157)

In this thought-provoking discussion, Jeffrey Towson analyzes the impact of machine learning and prediction on businesses. He questions whether these capabilities can truly serve as competitive advantages or if they merely pass value onto customers, maintaining business as usual. Although he concludes that these technologies do not provide a competitive edge yet, they indeed bring about significant changes to business operations and strategies​1.

Why Prediction and Machine Learning Are Not Competitive Advantages Yet (Tech Strategy – Podcast 157)

In this thought-provoking discussion, Jeffrey Towson analyzes the impact of machine learning and prediction on businesses. He questions whether these capabilities can truly serve as competitive advantages or if they merely pass value onto customers, maintaining business as usual. Although he concludes that these technologies do not provide a competitive edge yet, they indeed bring about significant changes to business operations and strategies​.

3 Lessons in AI/ Machine Learning from Artefact (Tech Strategy – Daily Article)

I had a good interview with Arthur du Passage and Edouard de Mezerac of Artefact, a data consulting and digital marketing company. And I thought they had a really good vantage point for how AI / ML is being used on the ground in China. I’ve summarized my 3 take-aways from our discussion. An Introduction […]

Introduction to Learning Platforms, Computer Vision and Megvii (Tech Strategy – Daily Article)

I have listed 5 types of platform business models: Marketplace and transaction platforms (e.g., Taobao, Meituan, Lazada) Innovation and audience-builder platforms (e.g., YouTube, TikTok, Android) Collaboration / coordination and standardization platforms (e.g., Slack, Microsoft Teams, Adobe) Payment platforms (e.g., MasterCard, Alipay) Learning platforms Here are examples of the first two. But I have not really […]

3 Ways AI Is Transforming Fashion: My Interview with JD Vice President of Cloud & AI (2 of 2)

This is a follow-up to my article on conversational AI with He Xiaodong at JD (article here, podcast here). I also spoke with Tao Mei, who is Vice President of Cloud & AI – and Technical support Vice President of JD. We talked about how AI was being used in fashion, which is a fascinating […]

3 Ways AI Is Transforming Fashion: My Interview with JD Vice President of Cloud and AI (Tech Strategy – Podcast 33)

In this podcast, Jeffrey Towson interviews the Vice President of Cloud & AI at JD.com about how AI is transforming the fashion industry. They discuss three key areas where AI is having an impact: personalization, supply chain management, and product development. For example, AI can be used to recommend products to customers based on their past purchases, track inventory levels and optimize shipping routes, and design new products that are more likely to appeal to consumers.