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

From Privacy To Racial Bias, Ethical Concerns Over Facial Recognition Technology

Facial recognition technology has entered the mass market, with our faces now able to unlock our phones and computers. While the ability to empower machines with the very human ability to identify a person with a quick look at their face is exciting, it’s not without significant ethical concerns. Suppose

Read More

Developing Mindset Of Attitudes And Behaviors That Enable Organizations To See How Data, Algorithms, And AI Open Up New Possibilities

Learning new technological skills is essential for digital transformation. But it is not enough. Employees must be motivated to use their skills to create new opportunities. They need a digital mindset: a set of attitudes and behaviors that enable people and organizations to see how data, algorithms, and AI open

Read More

Digital Transformation: From The Traditional Stage To The Platform Stage

Many companies struggle to reap the benefits of investments in digital transformation, while others see enormous gains. What do successful firms do differently? This article describes the five stages of digital transformation, from the traditional stage, where digital and technology are the province of the IT department, through to the

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

The Future Movement Of Goods: The Connected Community, Holistic Decision-Making, And Intelligent Automation

Even before the pandemic started, global supply chains were experiencing growing pains as they adapted to meet the pressures of rising demand and a delivery system in need of an overhaul. For example, shipping goods such as medicines, groceries, and everything else that powers our daily lives demonstrated the complexities

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

Reconsidering The Threat Of Automation As An Opportunity For Augmentation In The Era Of Smart Machines

People in all walks of life are rightly concerned about advancing automation: Unless we find as many tasks to give humans as we find to take away from them, all the social and psychological ills of joblessness will grow, from economic recession to youth unemployment to individual crises of identity.

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

Enterprise AI: A Much-Needed Digital Transformation In Healthcare Industry

The health care industry’s use of artificial intelligence (AI) traditionally has lagged other industries. However, the COVID-19 pandemic created the right set of internal and external conditions for digital transformation across the health care industry – and AI is one of the biggest areas of investments. AI is showing signs

Read More

Conversational AI: By 2022, 70% Of White-Collar Workers Will Interact With Conversational Platforms

Technology and human interaction strategists take note: Innovators are tackling current limitations to conversational AI through their work in five areas. We expect them to lead to much broader adoption of conversational bots in the near future. Current versions of chatbots can be inefficient and frustrating to use, besides being

Read More

AI Gets Its “Intelligence” By Analyzing A Given Dataset & Detecting Patterns And Adding More Data Is Not A Right Way To Overcome The Problems

Sometimes an AI-based system can’t decipher the physical world with a sufficient degree of accuracy and the option of just adding more data isn’t possible. In many of these cases, however, this deficiency can be addressed by using four techniques to help AI better understand the physical world: synergize AI

Read More