“Humanity and AI will be inseparable” – this is how Manuela Veloso, Head of Machine Learning at Carnegie Mellon University, envisions the future.
As Artificial Intelligence (AI) progresses, more brainpower will be built into tools we use in our daily lives, like phones, computers, vehicles making them smarter and more autonomous. AI is ultimately the result of humanity’s progress. In 1960 the world’s population was 3 billion. Today it is 7 billion out of which 3 billion have access to the internet! The growth of the global internet population came along with an explosion of data, which now, thanks to AI, can be used to improve our lives. The potential of AI-based technologies is high, and improvements are already visible in our daily lives.
For instance, many people are talking today to digital personal assistants such as Siri or Alexa, that help find useful online information and perform more complex tasks like letting you know about an upcoming important meeting on your calendar. We interact with chatbots that can answer our questions while browsing websites without the need to speak to a customer support representative. Our homes are getting smarter too, for example lighting systems can adjust the brightness of lights around the house based on where we are and what we are doing. AI is not just improving our personal lives by making us more productive but also transforming entire industries like healthcare, automotive, and banking industry, just to name a few.
The SAP Startup Focus portfolio includes cutting-edge AI, and Machine Learning based startups across different industries and line of business. Startups that joined the program and are building their solutions on SAP HANA and SAP HANA Cloud Platform can rely on the powerful capability of accessing large amounts of data from different sources.
Galaxi.AI, one of the AI based startups in the SAP Startup Focus portfolio, is an artificial intelligence based platform that analyzes millions of patient data through deep learning and image recognition and has the capability to predict when patients will need health attention, even before symptoms or diseases are visible.
For instance, by deploying Galaxi.AI doctors can be alerted of the high risk of heart failures in patients within months before happening, they can order advanced diagnostic tests and save lives.
Significant amounts of data is already stored in the existing health systems’ databases, and AI algorithms have the ability to mine the data of medical records and provide better and faster health services. Artificial Intelligence enables providers to make quicker and more data oriented decisions, taking in consideration the best option for every patient.
Another example is Convergence CT, a company that developed its solution on SAP HANA, leveraging the power of in-memory technology to rapidly link patient health data from disparate systems to provide a holistic and interactive exploration of data at both population and patient level. One of the biggest challenges in dealing with medical data is the fragmentation of data rather than the volume and HANA is well suited to help with that.
Convergence CT used machine learning to bring together breast cancer data from previously isolated sources – hospital data, such as diagnosis, procedure, labs, surgery and radiology data such as mammography results and personal histories – and used this expanded dataset to develop reports on measures related to standards of care. In late 2013 Advocate Health Care implemented Convergence CT to unify data of breast cancer patients. Breast cancer presents significant challenges from a data perspective: treatment, imaging, screening and diagnostic data are located in different areas and databases, such as physician offices, hospitals, and clinics.
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