In a world inundated with data, AI and machine learning are indispensable for making sense of the data we have at scale. At LinkedIn, we’ve built the Economic Graph, a digital representation of the global economy made up of over 660 million members, 36 thousand skills, 30 million companies, 20 million open jobs, and 90 thousand schools. To use this data to connect people to economic opportunity, AI is woven into our platform to improve every aspect of the member experience. Whether you want to look for your next play, expand your network, or simply stay informed on your industry, AI makes these experiences more personalized, powerful, and relevant. In this blog, I’ll share three examples of how AI is used at LinkedIn to help the world’s professionals be more productive and successful.

When we set out to develop our self-driving technology, we envisioned a future of safer and more convenient transportation. As we continue to advance our technology, we’re excited to announce a new application for our self-driving platform that has the potential to improve many intelligent products and services within the Yandex ecosystem and beyond. Using the proven hardware and software behind our self-driving cars, we’ve built a delivery robot that can intelligently and autonomously deliver small packages.

Artificial Intelligence is changing the world as we know it. Find out five key insights from the World Summit AI that brought together tech companies, academics and start-ups in Amsterdam.

World changing technologies over human history all involve a common element: Control.

The benefits of AI will only fully emerge when algorithms become explainable (and, hence, understandable) in simple language, to anyone.

5 Startups Using AI For Altruistic Ends 

AI is regularly plagued by the headline: ‘robots are going to steal our jobs’. The fear felt by workers in roles which are looking to be automated with intelligent machines is of course understandable and justified, but there is much more to the AI conversation if instead of replacement, we consider what can be added to jobs done by people.

There is a lot of discussion about what AI can do right now, but for Marc Carrel-Billiard, at Accenture, it’s important to also look into the future of AI and consider what the next phase of this world-changing technology might be. “There are a lot of clients that talk about AI, but very few that talk about AI at scale; there’s a big difference between doing AI pilots and then doing AI at scale Carrel-Billiard explains.

Conversations about AI are never complete without one word: ‘ethics.’ From exploratory discussions surrounding the famous Trolley Problem to more practical plans around data diversity, there are many considerations required to build and use AI responsibly in business and broader society.

We spoke to Laetitia Cailleteau, Global Managing Director, Conversational AI at Accenture, to find out how one of the most influential consultancy firms thinks about responsible AI, both internally and in discussions with their many global clients.