05Technologies that anticipate experiences
Preventive healthcare leads the way
Automation was the first step - the building of routines and algorithms to complete tasks based on historical data. The next step is anticipation - predicting what will happen next, providing the answers to questions before you have time to ask. From retail to logistics, manufacturing, healthcare and smart mobility, anticipatory technologies are about to scale up.
What will change
Industry will move from from automation to anticipatory experiences - intuitive, seamless experiences powered by data, AI and automation. People will receive the answers to questions before they think to ask them. Anticipatory tech is set to bloom in many industries, from self-driving cars and agriculture to smart homes and insurance. Predictive, personalised health-care points the way as one of the current fastest growing consumer areas.
Use healthcare as an example, consumers are taking self-care to the next level by harnessing smart gadgets and sensors to measure and fine-tine every activity in their body. They are investing money to track their sleep, stress, physical activity and recovery, following recommendations their devices provide. From a data perspective, people want to do more than track their activities - they want to understand how their genetics impacts their lives. For instance, Thryve Healthcare harmonizes all health data from different consumer devices to provide better insights.
Opportunities worth taking
Businesses are ready to respond to rising demand, with many M&As taking place recently as companies aim to serve consumers by giving AIs holistic data they can use to better anticipate your nutritional, diet, activity, exercise, meditation and recovery needs to name a few. With the right guidance for nutrition and analysing our health data, we will live longer and healthier lives.
This is where the open-minded, the visionaries, the rebels and disruptors design new digital customer experiences for the world to come. Are you one of us?
The whole healthcare industry faces massive disruption as new platform-based predictive healthcare solutions challenge traditional healthcare providers. Remote monitoring will for instance enable the prescription of proactive, preventive actions for patients.
smart anticipatory tech will enable diets to be tailored in real-time, with optimal nutritional content delivered to your door based on wearable data.
Maintenance and operations
We see intelligence moving from predictive to prescriptive. Connected machines will not only predict maintenance breaks - but also suggest what should be done next, leaving humans free to accept recommendations for maintenance plans.
Self driving cars that adjust music, ride quality and ventilation according to your body temperature, schedule and stress levels.
Why is this relevant
Global healthcare market size 2019 approx. $9 trillion. Global industrial machinery maintenance and repair forecast 2024: $720bn.
Look at these 2024
Proactive wellness alone is evaluated as being a $1 trillion+ industry. Digital therapeutics $9bn market. AI market in 2024: $146bn and IOT market in $935bn.
Top 18 unicorn sniffing smart money VCs, 1376 investments 2018-2020
Artificial intelligence 14%, Health 17%.
Myriad sets of image, voice, video, statistical data are impossible for human eyes to analyse and recognise patterns. To anticipate events and provide increased customer value, recognition algorithms help in the detection of patterns, anomalies and correlations.
Things to consider
Biometric surveillance ethics
Monitoring can lead to tracking, and recommendations can lead to manipulation. Where do we draw the line on what we want our machines to learn from us?
When everything is quantified, it is easy to become obsessed with maintaining your stats.
Machine-driven decision making in medicine
There is skepticism concerning the influence of machines in medical decision making. AI-powered anomaly detection can help doctors spot risks, but current consensus is that humans should make final decisions.
Unforeseen environmental side effects
Anticipatory AI without proper data and domain knowledge could lead to problems - as an example, Waze ruins whole neighbourhoods while trying to reduce congestion.
Harmonizes all the health data from different consumer devices, to provide better insights.
CardioSignal is a reliable and easy to use CE certified (Class IIa) medical device that can easily detect atrial fibrillation in your heart. CardioSignal uses motion sensors on the phone to detect atrial fibrillation, analyzing measured data to determine whether it is a normal or atrial fibrillation rhythm.
Technologies that will enable the shift
Smart electronic devices that can be incorporated into clothing or worn on the body as implants or accessories. Wearables have proven an invaluable sources of data for service providers and as a point of interaction for users. As wearables get smaller and smarter, their role as a data source and a means to interact with technology will be heightened.
P2P trust solutions, blockchain
Solutions based on blockchain or other decentralization for verifying the privacy and authenticity of the transaction. In large and heterogeneous systems, blockchains can be utilized to add trust regardless of affirmed identity smart contracts. In addition, blockchains can automate essential functions, for example value sharing between necessary parties, as well as enabling the use of a digital currency, either a pre-existing version or a newly-created personal currency for value transfers.
Components that are required to run an ML Algorithm locally on a device. In edge computing, a microcontroller unit (a small chip) is embedded with the ability to perform AI/ML computing offline based on sensor inputs without needing a cloud connection.
Cloud computing is the on-demand availability of computer system resources - data storage and computing power in particular - without direct active management by the user. Although cloud computing is nothing new, we need to define its role in collaboration with edge computing. Mastering the advanced storage architecture that links the cloud and the edge will be the backbone of user experiences in the future.
Using video image as a source for identifying, analysing and acting (objects & faces to provide access, personalise, charge, recommend, etc.)
Ultra thin, connected, printable, stretchable sensor technology has the potential to turn every single physical surface into a digital experience. Sensors can track temperature, air, depth, air pressure, touch or other inputs, enabling relevant data inputs for further computing.
Using voice as a source for identifying, analysing and acting. (e.g. speech to text, identification, measuring, etc.)
Push for Adversarial Interoperability
Creating a new product or service that plugs into the existing ones without the permission of the companies that make them, in an anticipatory world, different data sources working in harmony is a must.
Governments in EU spending great amount of GDP into healthcare
Rising healthcare costs challenging healthcare systems all around the world
Pressure for finding new innovations to maintaing health and drive forcost efficiency
Healthcare start-up scene has been blooming
In 2019, there was 39 digital health unicorns, worth more than $92.8B
Anticipatory tech and personalized UX as competitive advantage
Digital gadget market rising up to $60 Billion by 2023
The number of older people is growing rapidly in EU
According to Business Insider, more than 80% of consumers are willing to wear fitness technology.
Rise of Biohacking and consumer trend for finetuning into the best version of themselves
People willing to share data for better health
Consumers engaging more into their own healthcare
Employee demand for health and wellbeing
More careful data sharing: benefits back
Adoption of wearables like Oura ring and sport watches
Intelligent phone sensors for 24/7 monitoring
Apple and Samsung
Technology is already in place
The technology is already in place from connections between sensors, IOT, 4G/5G, edge computing, AI, machine learning. It’s about wiring these together for use cases for anticipation
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