AI Leaders Need To Know Both The Opportunities And Dangers That Come With Artificial Intelligence And Algorithms

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

Read More

Getting Used To AI – It’s Clear That Artificial Intelligence Has Benefits, But The Question Now Is How To Use It Effectively

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

Read More

Expansion Of Artificial Intelligence Across The Life Sciences Organization – From R&D To Manufacturing, Supply Chain, And Commercial Functions

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.

Read More

Pharmacovigilance: Advances In Artificial Intelligence (AI) Technologies And Data Analytics Increases Safety, Improve Equity And Enhance Engagement And Experience In Patient Support Programmes

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

Read More

What It Means For Artificial Intelligence To Be “Explainable” And When It’s Important To Explain How An AI Produced Its Outputs

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

Read More

Artificial Intelligence, 5g Networks, Quantum Computing, Virtual Reality, Blockchain: It’s Important To Pause And Think Of Potential Risks, Negative Outcomes, And Unintended Consequences

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

Read More

Artificial Intelligence: Are Executives Just Resisting A New, Unknown, And Still Unproven Technology, Or Their Hesitancy Is Rooted In Something Deeper?

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

Read More

Transforming The Workplace Technology By Adapting Artificial Intelligence

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

Read More

New Strategies And Business Models From Artificial Intelligence: What Traditional Businesses Can Learn From A Platform Model

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,

Read More

The Boundaries Of AI: What Artificial Intelligence Can And Cannot Do – Followed By Q&A Session

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

Read More

The Impact Of Automation & Artificial Intelligence On Our Economy | A Talk By Robert Reich Followed By Q&A Session

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

Read More

Building A Robot Clone Of Gemma Chan: All At Work – Artificial Intelligence, Machine Learning, Training Data And Natural Language Processing

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.

Read More