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
Category: Artificial Intelligence
Artificial intelligence is intelligence demonstrated by machines, unlike the natural intelligence displayed by humans and animals, which involves consciousness and emotionality. The distinction between the former and the latter categories is often revealed by the acronym chosen.
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
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
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
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
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.
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
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
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
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
Augmented Intelligence: The Third Type Of AI For The Future Of Intelligent Work
Will smart machines really replace human workers? Probably not. People and AI both bring different abilities and strengths to the table. The real question is: how can human intelligence work with artificial intelligence to produce augmented intelligence. Chess Grandmaster Garry Kasparov offers some unique insight here. After losing to IBM’s
XAI Can Help Banks Confront The “Black-Box” Nature Of Their Machine Learning Models By Making AI More Explainable, Intuitive, And Understandable
In 2016, author and trained mathematician Cathy O’Neil posited that machine learning models, left unchecked, can easily turn into “Weapons of Math Destruction.” She further suggested that as these algorithms become “highly efficient, seemingly arbitrary, and utterly unaccountable… no one will understand their logic or be able to explain it.”
