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.
Digital strategy consultant Jeffrey Towson breaks down the AI tech stack, highlighting its app, model, and compute layers. This comprehensive analysis is essential for businesses aiming to build a strong digital transformation strategy. Towson emphasizes the importance of understanding these layers to leverage AI effectively in management and operations.
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.
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 strategies1.
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.
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 […]
Use cases are a good way to approach the subject of AI. Just hunt industry by industry and see what companies are using AI for and not. It’s the best way to separate out the hype. And make sure you look at industries other than your own. I find scanning use cases across industries is […]
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 […]
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 […]
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.