The second annual Machine Learning, Big Data and AI in Healthcare conference will return in May 2018, and once again foster discussion, debate and dialogue between engineers and clinicians to create better solutions for tomorrow’s hospitals.
Machine learning, big data and AI technology has continued to revolutionize all industries, as organizations realize that the once considered insurmountable quantity of data being collected needs to be (and now can be) processed, analyzed, and most importantly, utilized effectively.
With massive amounts of computational power, machines can now analyze large sets of data points and apply relationship modeling in a predictive way and in real time. Big Data technology has the potential to leverage machine learning capabilities enabling accurate and real time decision making improving overall operating efficiency and reducing unnecessary costs.
With artificial intelligence, health systems can reduce the costs of medical treatments by half and optimize their processes throughout the organization. Artificial intelligence can improve healthcare delivery and patient experience, care plan adherence, health outcomes and reduce healthcare costs.
Frost & Sullivan predicts that artificial intelligence in healthcare will see a “dramatic market expansion” in the next couple of years, with the potential to reduce the cost of medical treatments by half.
Creating a proactive framework based off of predictive analytics is not only possible – it’s the future of healthcare.
“You can have data without information, but you cannot have information without data.” – Daniel Keys Moran
Join us for two days of interactive panel Q&As, engaging presentations, and rousing discussions among those leading the machine learning, big data and AI wave.