Technology and Innovation

Link: https://hbr.org/2022/07/adding-more-data-isnt-the-only-way-to-improve-ai Sometimes an AI-based system can’t decipher the physical world with a sufficient degree of accuracy and the option of just adding more data isn’t possible. In many of these cases, however, this deficiency can be addressed by using four techniques to help AI better understand the physical world: synergize AI with scientific laws, augment data with expert human insights, employ devices to explain how AI makes decisions, and use other models to predict behavior. Artificial intelligence (AI) gains "intelligence" by analysing and detecting patterns in a given dataset. It has no concept of the world outside of this dataset, which poses a number of risks. A single changed pixel could fool the AI system into thinking a horse is a frog or, even scarier, lead to an incorrect medical diagnosis or machine operation. Its reliance on data sets introduces a serious security vulnerability: malicious agents can...

  Link: https://hbr.org/2022/07/what-makes-innovation-partnerships-succeed Increasingly, companies today are aggressively pursuing breakthrough innovations. But to succeed in a significant, cost-efficient, and timely way they need to partner with other companies who have their own special interests and concerns, which turns out to be very hard. Partnerships are especially important in the tech sector, which moves fast with innovation as its fuel. In this article, the authors report on the efforts that Meta has made in establishing successful innovation partnerships with other companies, and they share guidance for leaders who wish to do the same Breakthrough innovation creates new product families and economic opportunities by introducing novel paradigms and platforms. But it's never a one-man show. Even the largest corporations require partner. Partnerships for innovation provide numerous benefits. They reduce R&D costs, add expertise and flexibility, and aid in the creat...