From customer experience applications in banking to fraud detection in credit, financial organizations are leaning heavily on AI tools. One important aspect of AI in finance is making the technology explainable. Organizations must ensure that their models are unbiased and can be easily explained in light of increasing compliance and regulatory oversight of AI and machine learning technology. During the Ai4 2022 Finance Summit on March 1, H2O.ai CEO Sri Ambati spoke to attendees about explainable AI, AI governance and data governance. H2O.ai is an AI cloud vendor that develops an open source machine learning platform for enterprises.

There's no doubt that the finance industry is undergoing a transformational change. The recent years have seen a rapid acceleration in the pace of disruptive technologies such as AI and Machine Learning in Finance due to improved software and hardware. The finance sector, specifically, has seen a steep rise in the use cases of machine learning applications to advance better outcomes for both consumers and businesses. Until recently, only the hedge funds were the primary users of AI and ML in Finance, but the last few years have seen the applications of ML spreading to various other areas, including banks, fintech, regulators, and insurance firms, to name a few. Right from speeding up the underwriting process, portfolio composition and optimization, model validation, Robo-advising, market impact analysis, to offering alternative credit reporting methods, the different use cases of AI and Machine Learning In Finance are having a significant impact on this sector.

Verifying income can be an expensive process for finance companies; one where the cost can become even steeper if the contract holder falls into delinquency and is eventually charged-off because the individual didn't have steady enough money to support monthly payments. PointPredictive is looking to help finance companies avoid both of those scenarios with its latest tool as the Emerging 8 firm recently announced the general availability of IncomePASS. The company explained the solution can offer a real-time assessment of an applicant's stated income to allow highly accurate clearing of validated incomes. PointPredictive believes its tool can enable finance companies using costly paycheck stub manual reviews across their portfolio to drastically reduce their expenses while improving the overall accuracy of their income validation efforts to stop defaults. "Traditional legacy tools are expensive and provide incomplete coverage," PointPredictive chief executive officer Tim Grace said in a news release.

Artificial Intelligence (AI) is taking most of the sectors by storm, and finance sector is one of the beneficiaries. To a layman, AI basically is the ability of a machine or a computer program to perform functions in place of humans. Of late, several finance companies have been making investments in AI and autonomous devices such as Robo-advisors and chatbots that allow them to provide a simpler and less time-taking experience to clients. Improving economic backdrop in the United States has made these investments easy, especially for banks, majorly due to lower tax rates and capital strength. Let's walk through where AI is being applied and the potential areas of its use.

To sell Millennials on new cars, personalized digital experiences using artificial intelligence and blockchain are on the horizon. According to a recent report on the automotive finance industry from the White Clarke Group, we've collectively entered what they call "Industry 4.0: Connected Intelligence." It's not only the pace of tech innovation that create a "connected intelligence" era, but also how rapidly young people--who will soon be the majority of the population and control a vast amount of purchasing power--are adopting new ideas. The ways in which this new industrial era affects the automotive finance industry are complicated and multifaceted. "We are experiencing an explosion of innovation, which has a profound impact on how we interact with each other, and how businesses build and maintain a relationship with their customers," said Brendan Gleeson, Group CEO of White Clarke Group.