These hypothetical scenes reflect real capabilities increasingly woven into places of worship nationwide, where spiritual care and surveillance converge in ways few congregants ever realize. Where Big Tech's rationalist ethos and evangelical spirituality once mixed like oil and holy water, this unlikely amalgam has given birth to an infrastructure already reshaping the theology of trust--and redrawing the contours of community and pastoral power in modern spiritual life. The emerging nerve center of this faith-tech nexus is in Boulder, Colorado, where the spiritual data and analytics firm Gloo has its headquarters. Gloo captures congregants across thousands of data points that make up a far richer portrait than any snapshot. From there, the company is constructing a digital infrastructure meant to bring churches into the age of algorithmic insight.

The sales process involves sales functions converting leads or opportunities to customers and selling more products to existing customers. The optimization of the sales process thus is key to success of any B2B business. In this work, we introduce a principled approach to sales optimization and business AI, namely the Causal Predictive Optimization and Generation, which includes three layers: 1) prediction layer with causal ML 2) optimization layer with constraint optimization and contextual bandit 3) serving layer with Generative AI and feedback-loop for system enhancement. We detail the implementation and deployment of the system in LinkedIn, showcasing significant wins over legacy systems and sharing learning and insight broadly applicable to this field.

Large Language Models (LLMs) have revolutionized the process of customer engagement, campaign optimization, and content generation, in marketing management. In this paper, we explore the transformative potential of LLMs along with the current applications, future directions, and strategic recommendations for marketers. In particular, we focus on LLMs major business drivers such as personalization, real-time-interactive customer insights, and content automation, and how they enable customers and business outcomes. For instance, the ethical aspects of AI with respect to data privacy, transparency, and mitigation of bias are also covered, with the goal of promoting responsible use of the technology through best practices and the use of new technologies businesses can tap into the LLM potential, which help growth and stay one step ahead in the turmoil of digital marketing. This article is designed to give marketers the necessary guidance by using best industry practices to integrate these powerful LLMs into their marketing strategy and innovation without compromising on the ethos of their brand.

This paper explores the growing impact of AI and NLP in bank marketing, highlighting their evolving roles in enhancing marketing strategies, improving customer engagement, and creating value within this sector. While AI and NLP have been widely studied in general marketing, there is a notable gap in understanding their specific applications and potential within the banking sector. This research addresses this specific gap by providing a systematic review and strategic analysis of AI and NLP applications in bank marketing, focusing on their integration across the customer journey and operational excellence. Employing the PRISMA methodology, this study systematically reviews existing literature to assess the current landscape of AI and NLP in bank marketing. Additionally, it incorporates semantic mapping using Sentence Transformers and UMAP for strategic gap analysis to identify underexplored areas and opportunities for future research. The systematic review reveals limited research specifically focused on NLP applications in bank marketing. The strategic gap analysis identifies key areas where NLP can further enhance marketing strategies, including customer-centric applications like acquisition, retention, and personalized engagement, offering valuable insights for both academic research and practical implementation. This research contributes to the field of bank marketing by mapping the current state of AI and NLP applications and identifying strategic gaps. The findings provide actionable insights for developing NLP-driven growth and innovation frameworks and highlight the role of NLP in improving operational efficiency and regulatory compliance. This work has broader implications for enhancing customer experience, profitability, and innovation in the banking industry.

In today's digital age, marketing has taken on a completely different approach with the shift towards social media and online interactions. ChatGPT is one such tool that can enhance the digital marketing game. ChatGPT is a chatbot that is powered by advanced AI technology, and it is designed to provide unique and personalized user experiences. With the use of ChatGPT, digital marketers can leverage its capabilities to create a more interactive and engaging environment for potential customers. By automating communication processes and being available 24/7, ChatGPT can handle a multitude of tasks such as lead generation, customer interactions, and queries.

Ahmedabad-based blockchain and artificial intelligence (AI) solutions provider, Yudiz Solutions Limited said it will strengthen its position in the gamification solutions for applications in corporate workplaces and industry uses. The company eyes non-game environment targeted to improve employee performance and customer engagement with deployment of gamification solutions in corporate use. Yudiz currently gets about 40 per cent of its reported revenues of ₹18.76 crore (March 2022) from gaming that also involves other technical tools such as AI, Blockchain, virtual reality among others. "We believe that the Indian gaming market will grow from $3 billion to $5 billion by 2025. And we expect to increase the share of games in our total revenues to 60 per cent," said Bharat Patel, Chairman, Yudiz Solutions. "In the next two years, we also plan to open a gaming studio," said Patel adding that the company plans to hit the capital markets with a public issue in the SME segment of NSE Emerge platform in June 2023.

How to engage customers--and keep them engaged--is a focal question for organizations across the business-to-consumer (B2C) landscape, where disintermediation by digital platforms continues to erode traditional business models. Engaged customers are more loyal, have more touchpoints with their chosen brands, and deliver greater value over their lifetime. Yet financial institutions have often struggled to secure the deep consumer engagement typical in other mobile app–intermediated services. The average visit to a bank app lasts only half as long as a visit to an online shopping app, and only one-quarter as long as a visit to a gaming app. Hence, customer service offers one of the few opportunities available to transform financial-services interactions into memorable and long-lasting engagements.

In today's data-driven world, the role of marketing in businesses has become more complex than ever before. To succeed, businesses need to harness the power of Machine learning, Data Science, Deep Learning, and Artificial Intelligence to create marketing strategies that are targeted, efficient, and effective to capture the target audience. This article will explore how Artificial Intelligence and marketing can collaborate to create a marketing strategy that drives revenue growth and customer engagement. We will also discuss various machine learning techniques and tools that can be used to analyze customer data to find patterns in the data, optimize marketing campaigns for cost-effectiveness and customer acquisition, and personalize customer experiences based on those recommendations. In this article, we will dive deep into AI Marketing.

In 2023, the financial sector is predicted to experience massive changes as traditional financial institutions (FIs) compete with Fintechs and digital services for supremacy. The launch of new digital banks like Maribank, Boost Holdings, and Sea Ltd has utilized technology and data to deliver innovative and personalized financial services to draw new customers in Singapore and Malaysia. In Singapore, Deputy Prime Minister and Minister for Finance Lawrence Wong emphasized the potential for digital technologies to create streamlined and efficient financial operations. Amplifying this point, the Monetary Authority of Singapore (MAS) and the Ministry of Finance (MOF) collaborated with FIs to provide digital solutions that reduce processing time for government guarantees and insurance bonds. Digital transformation will be key to altering the way financial institutions deliver positive customer engagement in 2023.

Today's customer expects the ability to engage with businesses through various communication channels like email, SMS, Push notifications, and in-app notifications when they have a question or need a problem resolved. SMS is one of the fastest growing communication channels, and we've seen that customers enjoy the ease and speed of texting for help versus traditional call channels. However, building an SMS system at scale to address millions of inquiries can be challenging for even the most advanced IT departments. Research also shows that customers prefer a personalized experience over a generic one, but using agents or employees to personalize millions of messages on a case-by-case basis is not practical. To solve this problem, we can use Amazon Pinpoint, AWS' multichannel communication service, to interact in personalized 2-way SMS messages with customers.