Artificial Intelligence is the new fashionable move in the business. While many large associates create counter-works developmental technologies or start-ups, few binding businesses have allowed AI processes to convert the core of the methodology. This could be because an entrepreneur in traditional businesses has little perception.
In Traditional Business, people were having little knowledge of techniques so they are having fear of failure and investing in which they don’t have the proper knowledge. For this purpose, the book is launched by Harvard Business School professors named Competing in the Age of AI: strategy and leadership when algorithms and networks run the world for putting AI in the center of business.
Authors Marco Iansiti and Karim R. Lakhani show the example of Ant Financial which serves 10 times as the customers of US Banks using one-tenth of its employees. This Extraordinary Performance is obtained by data and Artificial Intelligence from its core mobile payment platform, Alipay.
Becoming AI Centric
Its a lot easier than expensive and the company needs to put software in the center of the business rather than people. For AI factory all you need are 4 things which are the data pipeline, algorithms, experimentation to test these algorithms and infrastructure for the technical processes. The company doesn’t need PhDs for data collection but all the current employees can also collect relevant data.
More and more technical and non-technical opportunities are being created for Data Science, Artificial Intelligence and Machine Learning. According to LinkedIn reports Data Scientist and Machine Learning Engineer in the top 20 Fastest emerging Jobs.
Learning is bit easy that how the Products are made and data is analysed. Its not all about designing an Algorithm or writing code for the same but analyzing the parameters of the Algorithm is very much important so you can also work with AI in non-technical or without/less amount of coding for Company.
Check our Best Articles: