Microsoft has long been a rival of Apple. Bill Gates was the guest of honor at the Macworld Boston keynote speech, towering over Steve Jobs. Gates announced that Office would be free for five years, and made Internet Explorer the default browser on Macs. These were just some of the recent moves that have made Microsoft a competitor to Apple. So how does this relate to the current political climate? Read on for the answers.
AI3C
AI3C is an initiative that brings together leading healthcare institutions, educational institutions, and research organizations. The coalition was established in REDMOND, Wash., and includes the Brookings Institution, Cleveland Clinic, Duke Health, Plug and Play, Providence, UC San Diego, and the University of Virginia. The coalition’s core objectives include demonstrating AI innovations, collecting industry-specific data, and identifying key barriers to AI adoption in healthcare.
In addition to fostering AI research, AI3C members will educate the public about the potential benefits of AI and co-create solutions for positive societal outcomes. The organization will host quarterly events and meetings to share progress and develop tools to promote AI adoption. Further, members will work together to foster a culture of collaboration and transparency among AI. Further, AI3C members will be able to leverage each other’s expertise to help them reach their shared goals.
AI education
The AI Education Coalition, a nonprofit initiative focused on the adoption of artificial intelligence in schools, has recently launched an online portal that includes lesson plans, software, and more. The site is made up of high quality, free, and open source resources for educators and students. Microsoft and IDC have released their latest findings at the Asian Summit on Education and Skills in India. Learn more about the new AI education portal below.
In collaboration with other tech companies, Microsoft has also built the AI Education Hub, which aims to empower education leaders and provide systematic consistency to data. The AI Education Coalition also offers technical support to integrate security protocols and create governing policies. AI can also transform passive data into a powerful catalyst. For example, the state of Nebraska spent 655,000 man-hours collecting data from schools before realizing that the results yielded little. To solve this problem, the Nebraska Department of Education developed a system known as Statewide Longitudinal Data System, which allows information to flow in real time from hundreds of sources. The system then provides actionable insights to state leaders, educators, and other stakeholders.
AI upskilling
Microsoft and General Assembly have announced a new collaboration to upskill 15,000 workers in AI skills over the next three years. The new program leverages the General Assembly’s 22 campuses and will help Microsoft attract talent and boost AI skills among existing staffers. The company says that 2,000 workers will transition into AI roles in its first year and another 13,000 will get upskilled in the next three years.
The AI upskilling coalition is a collaborative effort between Microsoft and leading institutions across healthcare, education, research, and technology. It is comprised of senior executives who will act as advisers to the Coalition. The goal is to create an AI strategy for the healthcare sector, identify appropriate training and education programs, and measure adoption success. These organizations aim to address barriers to AI adoption in the healthcare field, such as the need to educate and train healthcare workers and ensure that AI is not used as a tool for criminals and hackers.
AI in health care
The development of AI algorithms depends on a large body of data, but medical data is often difficult to collect. Not only is it inconsistent, it’s also hard to pool data across health care providers and hospitals. Data collection also varies widely by location, making it impossible to make connections between patients and their medical records. This is why AI for health care has been slow to catch on, despite the potential for great health benefits. This article will highlight some of the challenges in AI for health care.
The most significant challenge in implementing AI for health care is adoption into everyday clinical practice. There are many challenges in implementing AI systems: ensuring regulatory approval, integrating AI into EHR systems, training clinicians, and getting funding from payer organizations. Finally, AI will need to be continuously updated in the field, which means it will take longer than other technologies to fully mature. For this reason, investors should pay close attention to the product development roadmaps of AI companies.
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