Aviva’s Applied AI/ML Journey
The rise of AI in the last decade places it as a key advancement for the fourth industrial revolution. AI today has resulted into consumer and business applications driving measurable outcomes. However, at-scale application of AI within a complex and multi-faceted business such as Insurance requires a holistic re-think of people, processes and technology. In this talk, I outline Aviva's global journey of embedding AI within our business and realizing significant and measurable gains. From machine-learning based pricing algorithms to AI-based underwriting, Aviva is now at the forefront of bringing this revolution to our industry.
Baiju has led data sciences and engineering teams for over a decade to bring algorithmic and data-driven business growth in FinTech and InsureTech space. As SVP and Chief Data Officer at Aviva Canada, Baiju is responsible for embedding the use of data and algorithms driving business growth. He leads a cross-functional team of actuaries, data scientists and data engineers to deliver innovative data-driven solutions including use of applied machine-learning for product pricing and underwriting and other advanced algorithms for decision making.
Prior to Aviva, Baiju led the analytics group at IIROC where he guided decision making and algorithmic surveillance in trading markets that generate up to 600 million real-time data points daily. Baiju was also at OANDA, a FinTech startup that disrupted retail foreign-exchange markets where he led data sciences and business growth and was part of a team that scaled the organization from a startup to a 400+ employee global business.
Baiju has a BSc and MSc in Computer Science from Queen's university and developed his data chops working on large biological datasets as part of his graduate work and later at the Ontario Cancer Institute.