While Electronic Medical Records (EMR) have been touted for decades as the golden ticket to exceptional patient care, research, and collaboration, the systems that support EMR have fallen short in delivering on that promise. The problem lies not so much in the systems themselves but in the quality of data

The world has come to rely on data. Data-driven analytics fuel marketing strategies, supply chain operations, and more, and often to impressive results. However, without careful attention to data accuracy, these analytics can steer businesses in the wrong direction. Just as data analytics can be detrimental if not executed properly,

Artificial intelligence (AI) is transforming every sector and business function, resulting in a growing interest in it, its subcategories, and related areas such as machine learning and data science.  While AI and automation might sound like the same concepts to many. But, in terms of procurement, both vary differently. Let’s

Big data, specifically with the help of artificial intelligence (AI), empowers insurance companies to make better financial decisions. Data science can help mitigate fraudulent claims, enhance risk management, optimize customer support, and predict future events, among many other benefits. The result is higher profits for insurance companies and lower premiums

Data is an indispensable resource for retailers. Today, most retail businesses understand that they must capitalize on digital data, but fewer know how to make the most of it. If these companies hope to reach their full potential, they must improve their data management. Data management is often a struggling

Facebook has announced Ego4D, a long-term project aimed at solving AI research challenges in “egocentric perception,” or first-person views. The goal is to teach AI systems to comprehend and interact with the world like humans do as opposed to in the third-person, omniscient way that most AI currently does. It’s

If there has been a silver lining to the pandemic, it’s been added great momentum and speed to digital transformation. Financial Service Institutions (FSIs) are entrenched in an industry that is time-honored and, as a result, often old-fashioned. However, FSIs must embrace developments in technology, specifically AI and customer experience

Businesses across virtually every industry are rapidly adopting cloud service solutions. The global cloud computing market was worth an impressive $371.4 billion in 2020 and could more than double to $832.1 billion by 2025. Amid this rapid expansion, organizations must recognize this movement’s risks. Cloud security isn’t necessarily less secure

We increasingly use technology for a broad variety of purposes, and the more that happens, the more data we collect and store. These days, AI is transforming the way we utilize that information, including crowd management. Machines can read and learn from different types of data and then perform real-world tasks.  That’s

Many company representatives commit to moving massive amounts of data to a new location and anticipate numerous advantages. For example, a small business could become more competitive after transferring some content to the cloud. Managing data on-site is a labor-intensive exercise that often becomes prohibitively challenging. Off-site service providers typically