[DataFramed AI Series #2] How Organizations c...

Time series data is everywhere — from inventory systems and energy grids to financial planning and product demand. As data volumes grow, the old ways of building individual forecasting models simply don't scale. How do you forecast hundreds of thousands of products without spendi ...  Show more

Cloud data platforms now offer hundreds of services, plus a growing menu of SQL, NoSQL, and open source options. Unified environments promise a simpler path, but the hard trade-offs—consistency versus scale, single-writer versus sharded, RPO/RTO targets—still matter. In daily wor ...  Show more

Read just about any business history and you realize just how much a firm’s success depends on its culture. Without the right culture, you can't have successful innovation. You can't compete successfully. You can't thrive over the long term. So, if you want to lead your organizat ...  Show more

A recent article by Daron Acemoglu and Simon Johnson painted a somewhat grim picture of AI and its implications, stirring significant controversy within the tech community. Today's episode dives deep into the ongoing debate about AI technology's potential risks and rewards. I wel ...  Show more

In today's Tech Talks Daily Podcast episode, we ask: "As we race to embrace the transformative powers of generative AI, are we adequately considering the ethical, societal, and environmental impacts of this technology?" Joining us is a distinguished guest, Francesca Ros ...

Sylvain Duranton helps companies build AI-enabled businesses. As the the global leader of BCG X, he has a front row seat to the generative AI revolution. He discusses the industries likely to face the most disruption, the future of work, and how generative AI can help solve ch ...