User-oriented services like Pinterest use deep learning for image recognition and therefore create an intensive user experience. Financial companies, such as PayPal, use graphical process-driven deep learning to detect fraud. The research and development division of the consulting firm Accenture and other companies use deep learning to detect security risks on the Internet. And medicine, healthcare and education are among the most important areas of application for AI – the importance of artificial intelligence for sure can’t be argued. So, let’s have a look at how AI transforms industries, including a highlight sector our Alumnus Aisoy Robotics contributes to.
For a long time, it has been the topic of sci-fi thrillers – now, it’s becoming reality: the robotics revolution. No panic needed though, it looks very different to the way film directors envisioned it. Mechanical men don’t march among us, in fact robots are mainly used in the industry. So, what exactly does the future hold for us? What’s hot in robotics? And most importantly: how are working places going to change in course of the robotic boom? CODE_n got some answers for you and names 3 trends to keep an eye on.
We continue with an in-depth look at the trend of robotics and AI! Today, let’s turn to another fascinating startup story, this time in a field undergoing sweeping developments – especially when it merges with educational technology (EdTech): our Spanish CODE_n alumnus Aisoy Robotics. Aisoy creates “emotional entertainment robots” that are changing the way people play, learn, discover, and have fun. Will they revolutionize the education industry by getting robots to teach children – not only in terms of knowledge acquisition but also emotional intelligence? Learn more in this interview with Aisoy Robotics and its founder and CEO, José Manuel del Río.
Heads up, companies involved in manufacturing! It’s like all the talk at the moment is of robotics and machine learning, especially when it comes to digitalization. So all the more reason for us to greet the latest new residents at CODE_n SPACES: TruPhysics! An AI/robotics startup from Stuttgart, TruPhysics is working on some amazingly revolutionary ideas – as its CEO Albert Groz reveals in a brief interview. It makes for some fascinating reading!
CODE_n CONTEST finalist Hindsait has built an AI platform, which can extract clinical information from patient charts, enables machine learning from established guidelines and rules, and facilitates predictive scoring to enable consistent clinical decision-making. Hindsait has revolutionized the Prior Authorization process. We’ve talked to CEO Pinaki Dasgupta, who has told us more about the uniqueness of his innovation, the HealthTech sector and the vision for his startup.
What is Hindsait all about? How did you come up with the idea?
Pinaki: Hindsait is a leading Artificial Intelligence platform for better healthcare. Hindsait’s SaaS platform applies artificial intelligence to large healthcare datasets, helping payors and providers improve patient health at a much lower cost.
The word Hindsait was coined as a portmanteau of Hindsight and AI. As the name suggests, the simple idea behind Hindsait is to garner machine-enabled insights from historical clinical records that drives consistent decision-making eliminating human errors and biases.
“Digital Disruption“ – that’s the motto of this year’s CODE_n CONTEST. What makes your solution innovative, what makes it disruptive?
Pinaki: Unlike traditional business intelligence or predictive analytics companies, Hindsait’s uniqueness lies in its ability to string together an array of cognitive computing/AI technologies that has proven to prevent unnecessary health services, while demonstrating 5X+ Return on Investment (ROI).
Hindsait’s award winning AI SaaS platform’s Natural Language Processing (NLP) extracts context-sensitive clinical concepts from EMR, clinician’s notes- those are unstructured free texts. Its Machine Learning and Predictive Analytics technology enables learning from established guidelines, clinical necessity criteria, protocols and business rules that enables clinicians to make error-free, consistent clinical decisions. The SaaS platform is hosted on a secured HIPAA complaint Google Cloud Platform.
The Hindsait Team
AmbiGate, a spin-off of the university of Tubingen, is specialized in 3D sensor solutions. The team, compromising 3 founders and 6 professors, wants to disrupt the physical therapy market through a combination of innovative AI and sensor-motoric algorithms, 3D sensors, and a highly motivating treatment approach called ExerGame. The startup is also a CODE_n CONTEST finalist in the HealthTech cluster. We talked to Caroline Dabels, founder and CMO of AmbiGate, to find out more.
What is AmbiGate all about? How did you come up with the idea?
Caroline: AmbiGate develops innovative motion sensing solutions. Awarded by the federal ministry of economics was our product eReha – a video game-based exercise therapy for domestic and business environment, developed by AmbiGate. It can be used preventively, parallel to physiotherapy and for corporate healthcare programs. As an ExerGame, the system provides medical exercises in a virtual environment. A 3D sensor analyses the patient’s executions and locates false movements in real time. During the workout, innovative disease-specific parameters are measured and sent to the physiotherapist for a dynamic therapy adaptation and progress.
AmbiGate’s highly motivating treatment approach called ExerGame.
The wearables market is set to grow exponentially and has the potential to transform how healthcare services are provided. Wearable devices will soon generate large volumes of medical grade data, but without analysis and insight from health experts, they won’t reach their full potential. That is why our CODE_n CONTEST finalist WearHealth is on a mission to enable personalized mobile preventive health care by bringing together medical wearable technology, artificial intelligence, and health experts. Co-founder and CEO Esteban Bayro Kaiser tells us how this can be achieved:
What is WearHealth all about? How did you come up with the idea?
Esteban: WearHealth is the AI-driven platform that learns from health experts and data from wearables to empower Personal Health Assistance.
We are a research spin-off from the Institute for Artificial Intelligence at the University Bremen and have years of experience in dealing with data from wearables and machine learning. Due to the increasing shortage in global health workforce and avoidable healthcare costs that are attributed to non-adherence, there is a high demand for new solutions in the area of mobile health. At WearHealth we are building a context-aware personal health assistant (PHA) that is able to learn from health experts and data from wearables.
The first version of the PHA is able to recognize gestures such as pill-intake, eating and smoking with the help of commercially available wearables to support patients with medication adherence. We are working together with our customers the re- and health insurances and pharmaceutical industry to bring this solution to the market. More…
Massive Analytic, a pioneer in Artifical Precognition, was one of CODE_n’s finalists in 2014 and has come on leaps and bounds since its time with us in Hanover. In our next part of the CODE_n Alumni catch-up series, we talked to CEO George Frangou about the young company’s most important learnings and greatest achievements (like building a relationship with Microsoft) since then.
Following on from your time as a CODE_n finalist, what have been Massive Analytic’s greatest achievements?
George Frangou: I would say our greatest achievement has been the launch of Oscar AP on the Microsoft Azure Marketplace in June of this year. Our technology is now available for purchase. It’s exciting to be building that relationship with Microsoft. We’re also proud of our entry to the Lockheed Martin Virtual Technology Cluster. Getting both of those endorsements have been great for us.
What lessons have you learned or failures you’ve experienced and how have you coped with them?
George Frangou: The key lessons we have learned over the last year is to get our product messaging right. Often it is easy to be passionate about the product and describe it in a manner that does not resonate with the target audience. We were able to set that right on the back of our involvement in CODE_n and the client engagements that followed immediately.
What were your biggest takeaways from your time at CODE_n?
George Frangou: The biggest takeaway from CODE_n for me was seeing how many young innovative companies there are doing different and exciting things. It was great to share experiences and inspiring to see what’s going on. More…