Category: Unite.AI

Data continues to be a significant sore spot for the healthcare industry, with increasing security breaches, cumbersome systems, and data redundancies undermining the quality of care delivered. Adding to the pressure, the US Department of Health and Human Services (HSS) is set to introduce more stringent regulations around interoperability and handling of electronic health records (EHRs), with

Dr. Rich Sonnenblick, Planview’s Chief Data Scientist, holds years of experience working with some of the largest pharmaceutical and life sciences companies in the world. Through this in-depth study and application, he has successfully formulated insightful prioritization and portfolio review processes, scoring systems, and financial valuation and forecasting methods for enhancing both product forecasting and

As artificial intelligence (AI) continues to break new ground in HR, it is enjoying growing acceptance. A recent study revealed that nearly half the workers surveyed in the UK and the US believe AI could help reduce bias and unfair hiring treatment; many even think that AI could outperform humans in ensuring fairness during the

Daniel Cane is co-CEO and cofounder of South Florida-based ModMed®, a healthcare IT company that is transforming healthcare through specialty-specific, intelligent platforms to increase practice efficiency and improve patient outcomes. Founded in February 2010, ModMed has grown to over 1,200 employees and has raised over $332 million in total investment. Known for its progressive growth

For those who have interacted with an android that looks incredibly human, many report that something “feels off.” This phenomenon goes beyond mere appearance – it is deeply rooted in how robots express emotions and maintain consistent emotional states. Or in other words, their lack of human-like abilities. While modern androids can masterfully replicate individual

Massive cloud investment continues worldwide, with Gartner predicting public cloud spending to reach an eye-popping $1 trillion by 2027. This number is growing significantly as companies invest more in generative AI, as GenAI initiatives require a lot of cloud capacity. And yet, many organizations still struggle to maximize the value of their cloud investments. Cloud

DJ Fang is a technology executive and entrepreneur with over 15 years of experience driving digital transformation and innovation across industries, including finance, energy, and healthcare. He has led initiatives for Fortune 500 companies and government agencies, combining business expertise with technical skills in AI, cybersecurity, and cloud infrastructure. As a serial entrepreneur, Fang has

Today, there are dozens of publicly available large language models (LLMs), such as GPT-3, GPT-4, LaMDA, or Bard, and the number is constantly growing as new models are released. LLMs have revolutionized artificial intelligence, completely altering how we interact with technology across various industries. These models allow us to learn from many human language datasets

Artificial Intelligence (AI) brings innovation across healthcare, finance, education, and transportation industries. However, the growing reliance on AI has highlighted the limitations of opaque, closed-source models. These systems, often called black boxes, generate decisions without providing explanations. This lack of clarity creates uncertainty for users and stakeholders about the processes behind AI outputs, raising concerns

Jay Ferro is the Chief Information, Technology and Product Officer at Clario, he has over 25 years of experience leading Information Technology and Product teams, with a strong focus on data protection and a passion for creating technologies and products that make a meaningful impact. Before joining Clario, Jay held senior leadership roles, including CIO