The healthcare industry is changing rapidly and is becoming more data focused and technology focused. This year’s Healthcare Summit Shows the Importance of Data is it focuses on mostly data related topics and brings speakers who have authority and experience on the topic.
Big data is helping change the way most things are done and is at the forefront of most innovations. One major way big data is helping is in Artificial intelligence and machine learning. Big data is expected to help in the global diversification of artificial intelligence and machine learning offerings.
There is a constant influx of new technology both in quality and quantity and this means that the prices are starting to drop significantly thereby making them more accessible to a wider variety of people. A drop in price means a more rapid adaptation by people that otherwise could not afford the device. A more rapid spread around the world means a more diverse user base in terms of cultural, religious, ethnic, linguistic and political affiliations.
This also means that the artificial intelligence and machine learning solutions to be provided in these markets will have to be trained and skilled differently from each other. Banking upon big data analysis of these factors from region to region, the artificial intelligence and machine learning solutions will be able to be relevantly molded and trained so that the sentiment of different demographics don’t get hurt, and these solutions also prove to be useful to the customers.
For example, for example when you type CEO into a keyboard, the artificial intelligence of the phone immediately suggest a Male emoji and when you type in nurse it suggests a female emoji. This means the system has some program flaws that show bias. Flaws like this needs to be corrected is AI and machine learning continues to be adopted more rapidly on a global scale.
There is also the issue of having a market analysis that is backed by big data. Right now the market for artificial intelligence and machine learning is still young and in its early growth stage. Is the market continues to grow, ti will quickly expand past its nascent beginnings is players on the market will start to understand the customer and potential customer base better.
Players will come to realize what sorts of product offerings, features and functionality are preferred by customers to have or not have on their devices and solutions. Here again, big data will come as a formidable rescue to the enterprises developing and selling AI and machine learning based solutions. The AI offering now is not very commercialized, but they are slowly entering the market and being adopted by the general public.
Amazon’s Alexa, for example, is being bought by more and more people and is in so many homes. As the industry grows and public adaptation grows, providers will use data collected to understand the needs of the customers better and so newer models would come with improvements and tweaks that better suit the needs of people.
Big Data to Enhance Artificial Intelligence
Big data and artificial intelligence go hand in hand. So it’s no surprise that big data is used to improve artificial intelligence. As the size of big data is continuously growing and new grounds are being broken in analyzing its implications as well, it is becoming more meaningful and contextually relevant for the machines to have a better idea of their functions with the help of big data analysis.
Machines can do this through machine learning. Just looking at the definition of machine learning – an advanced application of AI in interconnected machines and peripherals by granting them access to databases and making them learn new things from it on their own in a programmed manner.
The Importance of the Human Element in Data
Big data also plays a role in helping to expand a learning workforce. Big data will always require human intelligence and instinct to help analyze it and proper training will help make that happen. Though people have expressed concerns that machine learning, artificial intelligence, and technology, in general, will wipe out the usefulness of human workers and thus reduce jobs available.
There Is some truth to this, but a big part of this that people don’t seem to realize is that artificial intelligence is creating a need for a new type of workers that will create these machines and guide their usage. The human eye is always going to be important and no matter how smart machines get, it cannot be replaced. When systems are migrated to different geographical regions and different countries, for example, they have to be tweaked to fit the new socio-cultural nature of these regions.
There are social norms and cultural nuances that a computer cannot detect. It’s up to the humans to detect this, learn them and integrate them into the systems in a way that they are useful to people. For example, Google Maps is an advanced system with responsiveness and adaptability- if you take a wrong turn, google maps adjust the route to give you a new router and a new estimated time of arrival.
Google maps in India is a different case. Most people use motorcycles in India, they are able to use routes and roads that are not necessarily recognized by the google maps system built for cars and roads for cars. It took the human element of Google employees in India to be able to bring awareness to this and to create a map targeted to serve people who use motorcycles. This new system is able to recognize most motorcycle routes and add it to a trip plan thus serving the customer better.
The increasing collaboration between AI, machine learning, and big data will only make way for talented and capable human data scientists to consistently evolve and rise in the market, and by all means, they will be required in a much huge number as the applications of these technologies gain movement.