Part of the power of AI and deep learning is that AI training can indiscriminately learn things we don’t explicitly instruct it to learn. Unfortunately, it can pick up on trends that we would rather it not – such as the inherent gender bias in our use of language. Companies
Computers were once seen as more or less infallible machines that simply processed discrete inputs into discrete outputs, whose calculations were never wrong. If a problem ever arose in a calculation or business process, it was definitionally caused by human error, not the computer. But as machines encroach on ever-more
The COVID-19 pandemic has increased the focus on the use of artificial intelligence (AI) across the life sciences organization, from R&D to manufacturing, supply chain, and commercial functions. During the pandemic, company leadership and management realized that they could run many aspects of their business remotely and with digital solutions.
Why Patient Safety Strategies Need To Change Ensuring the quality and safety of a medicinal product is both a moral and a regulatory requirement across the biopharmaceutical (biopharma) value chain. Pharmacovigilance (PV) is a crucial mechanism for providing evidence to the biopharma industry and regulators of the long-term safety profile
AI adds value by identifying patterns so complex that they can defy human understanding. That can create a problem: AI can be a black box, which often renders us unable to answer crucial questions about its operations. That matters more in some cases than others. Companies need to understand what
There’s a familiar pattern when a new technology is introduced: It grows rapidly, comes to permeate our lives, and only then does society begin to see and address the problems it creates. But is it possible to head off possible problems? While companies can’t predict the future, they can adopt
Data-based decisions by AI are almost always based on probabilities (probabilistic versus deterministic). Because of this, there is always a degree of uncertainty when AI delivers a decision. There has to be an associated degree of confidence or scoring on the reliability of the results. It is for this reason
Successful organizations have long known that their employees are their biggest asset, but recent job numbers show how hard organizations have to work to retain them. According to the U.S. Department of Labor’s Job Openings and Labor Turnover Survey, the rate of quit levels remained significant at 4.2 million in
Platform companies like Facebook, Amazon, Google, and Tencent have created value at stunning rates. They grow rapidly and own few assets – and they’ve all made strong use of AI. What can legacy companies learn from these platforms? And is it possible for legacy companies to use this business model,
The last decade has seen exciting developments in AI – and AI researchers are tackling some fundamental challenges to develop it further AI research seeks to understand what intelligence is, and then recreate this through computer systems that can automatically perform tasks that require some level of reasoning or intelligence
Professor Reich comes to Google to discuss the impact of automation & artificial intelligence on our economy. He also provides a recommendation on how we can ensure future technologies benefit the entire economy, not just those at the top. Robert Reich is the Chancellor’s Professor of Public Policy at the
In this Spark Documentary the world’s leading experts attempt to build an artificial human based on actress Gemma Chan, star of the sci-fi series Humans, for a ground-breaking scientific stunt that will test just how far away we are from ‘synthetic’ humans.