So you’ve invested in artificial intelligence (AI). The first questions your board may ask will likely be related to what it can do, how will it improve business processes, save money or provide greater experiences for customers. However to be responsible there are two questions that should be asked first...

Topics: AI, Strategy, Leadership

While regulators and legal experts are getting into the bigger accountability questions around artificial intelligence, such as who is liable if an autonomous vehicle crashes, formal governance to guide decision-making is largely lacking for everyday business application. The urgency around this is increasing: AI is being widely used across functions ranging from marketing to customer service, and ambitions for it are soaring as organisations witness its potential.

Topics: AI, Global Governance, Strategy, Cyber Security

Artificial intelligence has reached a tipping point. It can no longer be ignored as a phase or something only for companies that are typically early adopters of technology. It’s impact on all areas of life, from medical research to your next film recommendation from Netflix, is evidence of its wide-ranging capabilities.

Topics: AI, AI Platforms, Conversational AI

Over the past 25 years, computers have slowly encroached into the domain of human intellect, the machines first victory was in 1997 when Kasparov lost to Deep Blue at Chess1. Since then A.I. have continued to expand the games they can beat us at, from Go to Poker, and Shogi to Starcraft2. These achievements of machine learning, whilst shockingly impressive, are in stark contrast to the failures of A.I. in the real world.

Topics: AI, AI Platforms, Data, Machine Learning

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

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