Scale to new heights in healthcare with our Artificial Intelligence solutions and tailored Machine Learning models.
Time and precision can be life-saving in the Healthcare industry and both can be achieved with AI and Google Cloud.
Whether it is reducing clinical trial time, improving patient experience, or gaining advanced healthcare analytics, everything is possible with AI and machine learning models built on a scalable platform, Google Cloud.
Pluto7’s AI-driven solutions let you unlock hidden intelligence from your healthcare data.
Healthcare ML™ empowers the healthcare industry to be more proactive, predictive, and prescriptive.
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Demand ML understands the pattern in your supply chain data to more accurately source the quantity of products needed to meet customers expectations.
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Inventory ML leverages AI to define the status of the inventory regardless of your warehouse location. Demand planning teams can predict supply quantities and manage stock more efficiently.
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Logistics ML leverages the power of Google AI to help you optimize your fulfillment processes. It makes your paperwork much easier and faster.
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Supply ML helps ensure the overall supply planning success. It unleashes the power of your supply chain data to keep your inventory balanced while meeting your customer needs.
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Value Chain ML is a comprehensive solution that is built on Google Cloud Platform. It intelligently connects unrelated functions of business, starting from procurement to production, and from marketing to after-sales services.
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Enable 24/7 access to immediate conversational self-service, with seamless handoffs to live agents. Provide continuous online support while identifying intent and providing real-time assistance
“Machine learning and artificial intelligence will continue to provide even more robust opportunities to improve healthcare research and patient outcomes. We are staying ahead by creatively using these technologies with the help of Google Cloud and Pluto7.”
In the spirit of continuous improvement, we wanted to keep the momentum going. We knew we had an opportunity to improve further. So we turned to Google Cloud and machine learning. Pluto7 helped us see the potential of MLAI by working on one piece of the process. In a proof of concept project, we applied the technology to the part of the budgeting process called Medicare Coverage Analysis.
“Pluto7 implemented a holistic AI solution to unifying their data to gain deeper insights on their customers driving higher revenues and profitability ”
"I know that technology can help us become more productive, however we need to make sure we apply the right technology to help, considering that OCR-based processing has not worked as expected. We are looking forward to having Machine Learning help us improve processing physician’s authorizations and use that learning to improve other processes."