Lifeboat Foundation

Over the years, much has been said about artificial intelligence (AI) and the healthcare industry. Much of it has been focused on two extremes. On one hand, there’s the fairly mature use of neural networks for radiological analysis. On the other, there’s the focus on fraud management. Those have become “must have’s” in my perspective. It’s filling the middle ground that interests me. Medical insurance is, as patients, providers, and payors all can agree, is often convoluted and complex. There’s a business problem in making processes more efficient, and the foolishly named robotic process automation (RPA) is only a step in the right direction. More robust AI can help all three stakeholder groups address their needs in managing medical insurance. The general medical insurance industry does deal with radiology and images. However, that’s typically in specialties. In the dental industry, radiology is a regular tool, using x-rays to understand tooth and gum conditions and then to document work that has been done. The basics of AI and radiology have been covered, in this column and many other places, so this article isn’t going to cover the concepts, it’s important to realize how important that analysis is in dental care.

Full Story:

In this case, it’s increasing the accuracy and speed of dental insurance processing, resulting in better medical control, improved financial outcomes for providers and payors, and improved care and customer service for the patient.

Continue reading “Artificial Intelligence And Dental Insurance — It Is More Than A Focus On Radiology And Fraud” »

Hold on to your hats. SpaceX Starlink Premium offers much faster internet to those that need it most, like businesses and other organizations. It’s the latest in Elon Musk’s plans for the service.

Decision-making has mostly revolved around learning from mistakes and making gradual, steady improvements. For several centuries, evolutionary experience has served humans well when it comes to decision-making. So, it is safe to say that most decisions human beings make are based on trial and error. Additionally, humans rely heavily on data to make key decisions. Larger the amount of high-integrity data available, the more balanced and rational their decisions will be. However, in the age of big data analytics, businesses and governments around the world are reluctant to use basic human instinct and know-how to make major decisions. Statistically, a large percentage of companies globally use big data for the purpose. Therefore, the application of AI in decision-making is an idea that is being adopted more and more today than in the past.

However, there are several debatable aspects of using AI in decision-making. Firstly, are *all* the decisions made with inputs from AI algorithms correct? And does the involvement of AI in decision-making cause avoidable problems? Read on to find out: involvement of AI in decision-making simplifies the process of making strategies for businesses and governments around the world. However, AI has had its fair share of missteps on several occasions.

Koenigsegg has announced new high power, compact motors and powertrains for electric cars.

Christian von Koenigsegg is an inveterate tinkerer who has built a business on his ability to squeeze extraordinary amounts of power out of internal combustion engines. Lately, he has turned his talents to electric motors and drivetrains. On January 31, his company announced two breakthrough products that could transform the world of electric cars.

[caption id=.

Continue reading “Koenigsegg Quark, Terrier Bring Big Power In Small Package To Electric Cars” »

When I did my doctoral studies I studied a number of growth disciplines in areas like: complexity science, social network science (relationship and collaboration science), system thinking science, information science, and cognitive science. As a result of this knowledge, I learned how to connect business strategy goals using diverse growth strategies and analyze underlying operating systems that were either enabling relationship strength and growth outcomes or creating negative systemic feedback loops that prevented revenue acceleration.

There is a word in the English language seldom used called quaquaversal which means looking in all directions all at once which represents the field of complexity science and is the reality of the executive mindset that needs to operate in the board room and in today’s fast paced world — *what one sees as relevant today may well be obsolete tomorrow.*

This blog series will explore each of these discipline areas and connect real life examples of AI approaches that are enabling growth acceleration techniques using these science and social science techniques. This is the first blog in this five part blog series and will focus on complexity science.

Continue reading “Accelerating Growth Using AI — A Look At Complexity And The Metaverse Series 1/5” »

But Elon Musk’s company touts improved hardware, faster service speeds and priority support for its premium customers.

“Starlink Premium has more than double the antenna capability of Starlink, delivering faster internet speeds and higher throughput for the highest demand users, including businesses,” the SpaceX website said.

According to the Starlink website, the first premium deliveries will begin in the second quarter.

Researchers have found over 20,000 instances of publicly exposed data center infrastructure management (DCIM) software that monitor devices, HVAC control systems, and power distribution units, which could be used for a range of catastrophic attacks.

Data centers house costly systems that support business storage solutions, operational systems, website hosting, data processing, and more.

The buildings that host data centers must comply with strict safety regulations concerning fire protection, airflow, electric power, and physical security.

Elon Musk recently said that Tesla’s humanoid robo t project is the “most important product development we’re doing this year.”

On Wednesday, during Tesla’s earnings call, Musk said Tesla’s humanoid robot has the potential to be more significant than the vehicle business over time’ and it is the most important product development they are doing in 2022. Musk introduced the concept of Tesla’s humanoid robot back in August, 2021 during Tesla’s AI event.

Tesla’s humanoid robot aka Tesla Bot is a 5-foot-8-inch and 125-pounds robot aims to do the dangerous, repetitive, physical tasks in the future. Elon Musk joked that Tesla Bot will be friendly and also mentioned that it will be built from lightweight materials.

The Service Availability metric is simple, business-oriented, and enables you to assess the state of the IT environment of a company.