Computer Vision News 56 Challenges in Medical AI Development Let’s briefly see what risks are involved when this challenge presents itself. First and foremost, recruiting, onboarding, and training individuals with the right skillset and expertise can take very long, and – more often than not, longer than expected. In fact, it might be overly challenging to attract the best candidates, engaging them and hiring them fast, as well as ensuring a positive candidate experience. That will be easier for a company withastrong An experienced and skilled development team is paramount to ensuring efficient development while avoiding potential challenges and pitfalls throughout the project lifecycle. It often takes years to develop such a team, and a significant amount of time and effort is required for the team to transition to a new modality or task. As we will see, RSIP Vision offers the fittest solution to solve this challenge. Ilya Kovler, CTO at RSIP Vision
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