5 Tips For Financial Marketers to Tap AI's Personalization Potential

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While fintech companies have been at the leading edge of artificial intelligence (AI)-powered innovation, financial services marketers are making up ground fast. McKinsey Global Institute says healthcare, financial services, and professional services have seen the greatest increase in their profit margins because of AI adoption. Advances in digital and mobile banking have created a "greenfield" of new opportunities for bank and credit union marketers, including leveraging data to map, analyze, and optimize the customer journey through inbound and outbound marketing interactions. For financial brands beginning to transform their marketing, there are five best practices that will enhance customer engagement across the customer journey. Take a look at how to turn your clients into partners just by listening -- and then providing what they need.


Potential Business Applications of Sentiment Analysis Across Industries

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The rise of artificial intelligence has formed a trail of disruptive technologies. From computer vision and natural language processing to predictive analytics and recommendation engines, AI is rapidly transforming global business services. Sentiment analysis is one such AI-driven technology that channelizes extensive digital information to trace the undertone of textual data and interactions. An AI development company executes dynamic applications of sentiment analysis to automate and empower the decision-making capabilities of businesses worldwide. This blog post explores some potential business applications of sentiment analysis across industries.


Meet 11 of the Most Interesting Chatbots in Banking

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With consumer expectations increasing, the use of artificial intelligence, machine learning and chatbots in banking is also increasing. Banks and credit unions worldwide are testing new applications and deploying new solutions to improve the overall digital customer experience. Subscribe to The Financial Brand via email for FREE!More and more banking organizations are leveraging artificial intelligence to launch chatbot solutions, reducing costs and serving increasingly tech-savvy consumers. In many instances, chatbots are developed to facilitate two-way communication, replacing channels such as phone, email or text. The objective is to provide quick service and transactional support.


Erica, Eno, Aida and 8 More Interesting Chatbots in Banking

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With consumer expectations increasing, the use of artificial intelligence, machine learning and chatbots in banking is also increasing. Banks and credit unions worldwide are testing new applications and deploying new solutions to improve the overall digital customer experience. Subscribe to The Financial Brand via email for FREE!More and more banking organizations are leveraging artificial intelligence to launch chatbot solutions, reducing costs and serving increasingly tech-savvy consumers. In many instances, chatbots are developed to facilitate two-way communication, replacing channels such as phone, email or text. The objective is to provide quick service and transactional support.


Customer Analytics Is Key To Growth In Banking

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Understanding customers is the foundation to a sustainable competitive advantage in banking. Therefore, financial marketers can no longer wait to embrace the power of advanced analytics to gain insights and evaluate opportunities that will improve cross-selling, up-selling and enhance share of wallet. It is amazing how some topics continue to stay relevant in banking despite the passage of time. One such topic is the importance of customer analytics in banking. In 2013, I referenced a report from Celent entitled, Customer Analytics in Banking: Why Here, Why Now?, where senior analyst, Bob Meara wrote that it was the time for banks and credit unions to leverage the advances in processing, memory, database design and analytic methods to improve performance and reduce costs.