Jeffrey Austin White has joined Holmes Murphy as its Chief Analytics Officer (CAO), bringing his nearly three decades of expertise focused on strategic investments in talent and technology to the national insurance brokerage. In this new role for Holmes Murphy, White will work to increase emphasis on innovation and data intelligence, helping to drive the company's potential and performance for clients. He will largely be responsible for defining and driving analytics and business intelligence initiatives, including assessing the current state of data and analytics capabilities, developing an analytics strategy, and leveraging innovations in artificial intelligence to propel Holmes Murphy and its clients forward. White will also be working to provide insight on potential opportunities for BrokerTech Ventures (BTV), the first broker-led convening platform and accelerator program focused on delivering innovation to the insurance broker industry. "Holmes Murphy continues to raise the bar when it comes to developing technology and innovations within the insurance industry. I'm excited to play a role in advancing their data analytics and AI capabilities," said White.

Data science is shifting towards a new paradigm where machines can be taught to learn from data to derive conclusive intelligent insights. Artificial Intelligence is a disruptive technology that collates the intelligence displayed by machines mimicking human intelligence. AI is a broad term for smart machines programmed to undertake cognitive human tasks that require judgment-based decision making. With all the hype and excitement surrounding Artificial Intelligence, businesses are already churning data in massive quantities over call logs, emails, transactions and daily operations. Machine learning (ML) is a dynamic application of artificial intelligence (AI) that empowers the machines to learn and improve the model accuracy levels.

Data science is shifting towards a new paradigm where machines can be taught to learn from data to derive conclusive intelligent insights. Artificial Intelligence is a disruptive technology that collates the intelligence displayed by machines mimicking human intelligence. AI is a broad term for smart machines programmed to undertake cognitive human tasks that require judgment-based decision making. With all the hype and excitement surrounding Artificial Intelligence, businesses are already churning data in massive quantities over call logs, emails, transactions and daily operations. Machine learning (ML) is a dynamic application of artificial intelligence (AI) that empowers the machines to learn and improve the model accuracy levels.

Money matters to people and businesses alike and banks are the institutions which help them sense, comprehend and act in terms of making monetary decisions wisely. Banks have been there for us in times of need and have evolved themselves from time to time, transforming from a traditional paper-ledger based to computerized core banking. Today, this industry has ushered in the facilities of the internet and mobile banking for the consumer. There is no other sector that is more focused on adopting innovative technologies like Artificial Intelligence (AI), as much as banks. Literally, every consultancy has derived their own research citing how AI would be the next big thing in banking and they're all bullish on its prospects.