We are excited to bring Transform 2022 back in-person July 19 and virtually July 20 - 28. Join AI and data leaders for insightful talks and exciting networking opportunities. Robotics is a diverse industry with many variables. Its future is filled with uncertainty: nobody can predict which way it will develop and what directions will be leading a few years from now. According to the International Federation of Robotics data, 3 million industrial robots are operating worldwide – the number has increased by 10% over 2021. The global robotics market is estimated at $55.8 billion and is expected to grow to $91.8 billion by 2026 with a 10.5% annual growth rate.

While there is still much to overcome to achieve AI-dependent healthcare, Artificial Intelligence (AI) could prove to be a self-running growth engine for the health sector in the not-so-distant future. A recent report from Accenture focusing on the potential of 10 AI applications determined the "near-term value" of AI in healthcare and how the impact of rapid technology stacks up against the upfront costs of implementation. Results from the report show that an estimated $150 billion could be saved through the application of AI in the U.S. healthcare economy by 2026. Below are the top three AI applications with the most significant value potential in healthcare, according to the report's findings. To learn more about AI revolutionizing in the healthcare industry, check out the original article from Venture Beat.

Artificial intelligence could prove to be a self-running growth engine for the health care sector in the not-so-distant future. A recent report from Accenture analyzed the "near-term value" of AI applications in health care to determine how the potential impact of the technology stacks up against the upfront costs of implementation. Results from the report estimated that AI applications in health care could save up to $150 billion annually for the U.S. health care economy by 2026. The report focused on 10 AI applications with potential for near-term impact in medicine and analyzed each application to derive an associated estimated value. Researchers considered the impact of each application, likelihood of adoption, and value to the health economy in their evaluation.