Werner Vogels, VP & CTO at Amazon will take to the stage for the opening headline session on day two at World Summit AI 2019 (Thursday 10th October) and ahead of their appearance we asked Werner a few questions about Amazon’s approach to machine learning, AI use for enterprise and which industry is being revolutionised by AI adoption. Read on for the full Q&A.

Topics: AI, Machine Learning, Enterprise AI

If AI is to gain people’s trust, organisations should ensure they are able to account for the decisions that AI makes, and explain them to the people affected. Making AI interpretable can foster trust, enable control and make the results produced by machine learning more actionable. How can AI-based decisions therefore be explained?

Topics: AI, Data, Machine Learning, Responsible AI

Having information is key. Understanding the right information is a success.

And these are the two features where artificial intelligence seems to be winning over human capabilities in stock picking.

Topics: AI, Machine Learning, Financial Industry, Investment Funds

In this article, we dive into the world of human-centric AI, leading to a new era where the individual not only controls the data, but also steers the algorithms to ensure fairness, privacy and trust. Breaking free from filter bubbles and detrimental echo chambers that skew the individual’s worldview allows the user to truly benefit from today’s AI revolution.

Topics: AI, Data Science, Behavioral Change

In just a few years, it will be practically impossible to find a single industry left unaffected by the meteoric rise of Artificial Intelligence.

This disruptive blend of computer science, statistical models, and reasoning with big data is propelling the Fourth Industrial Revolution forward and changing core industries like agriculture, energy and healthcare while also hinting at solutions to a range of modern challenges.

But how is the world of retail using AI to transform the in-store environment to offer superior experiences and achieve higher revenues?

Topics: AI, AI Platforms, Business, Retail, Startups

Alphabet’s DeepMind unit, conqueror of Go and other games, is losing lots of money. Continued deficits could imperil investments in AI.

Topics: Big Data, Business

It’s no secret that the opportunity in unearthing hidden insights in healthcare data is huge. “The biosciences are swimming in data. The total amount of knowledge in healthcare doubles every 73 days, and it turns out that scientists can now create more information in a couple of weeks, than they could create in a lifetime only three years ago.”

Topics: Medicine, Digital Health, HealthTech

There is much excitement in the world of AI and healthcare. From the promise of mass analysis and management of patient health records, to advanced predictive diagnosis methods, it’s easy to be optimistic about the future of healthcare when you consider the potential power of well-distributed, ethically robust and technically advanced AI systems.

Topics: AI, Medicine, Digital Health, HealthTech

Corporates like to talk about AI. In pitch decks, at company meetings, in comments in media editorials. Wherever there is a chance to flaunt know-how and corporate innovation efforts – and in the AI world, there are plenty of these opportunities – corporates will jump at the chance to talk about how they are rapidly employing AI methodologies and technologies into their operations and offerings.

Topics: AI

Many enterprises are turning to conversational artificial intelligence (AI) to improve productivity within their organizations. But can a chatbot be so helpful that it impacts staff behavior and increases their productivity at the same time?

Topics: AI, AI Platforms, Chatbot