Artificial Intelligence and Business Productivity
According to IDC, global spending on Artificial Intelligence was just under $36B USD in 2019, and is forecasted to grow at a compound annual growth rate (CAGR) of just under 40%. For comparison, this is about the same amount US businesses paid for commercial automobile insurance in 2018. All of this investment begs the question, what is it we hope to gain?
Our company is growing at a 15% CAGR, and we are working hard to continually improve productivity so that we can gain rapid expense ratio improvements, and thereby provide our customers with more competitively priced products. Predictive analytics, AI, or I believe more appropriately, Machine Learning, is one of the big levers we are pulling to ef fect this productivity improvement.
We are trying to keep things simple. Our small team of data scientists works closely with our business partners on practical application of ML to deploy algorithms. A few recent examples of productivity improvement driven by ML algorithms are use of Natural Language Processing (NLP) and Computer Vision (CV).
With the right talent, these are fairly straightforward solutions to implement in-house, and will start you on your AI journey
Many of these tools are open source and with the right team you can rapidly move through data cleansing, model training, and into production. Like many things in life, we have found the keys are keeping it simple, starting small, and focusing on tight communication and collaboration with the business owners who need to deliver the productivity improvements.