Business decisions are greatly influenced by the analytics and insights derived from the data. The predictive and prescriptive analytics are the current trends of the business sector and are helping businesses in reducing their costs and optimizing profitability. According to Fortune business insights report on Machine learning market size, the global machine learning (ML) market is expected to grow at a CAGR of 38.8% in forecast period from 2022- 2029. Due to the growth in the data science industry, there is a continual need for talented people in this field. AI job postings have significantly increased across all industries, representing between 2-3% of all job postings in 2020. There are not enough data scientists searching for jobs to fill demand and gap has been getting wider in recent years; in 2019 there were ~1,100 job postings for every ~200 searches by candidates. The bargaining power of existing data scientists is therefore increasing. Retaining expert team members is one of the most important goals for any company that has invested heavily in training their data science team.

Since the beginning of ABI's D&A journey in 2016 until today, we have been growing our Data Science team to a world-class level. ABIA team has already made an excellent start in delivering $1B of profit uplift, and many impactful use cases. The key to success is to implement a few strategic practices that will enable your Data science team to scale and retain the talent you have. The purpose of this AI core talk session is to discuss and analyze some of the key strategies and go in-depth into each one.