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This year, AI came into sharper focus for both enterprise strategists and the vendors who count them as customers. The potential for generative AI began to be realized via practical applications; multiple customers shared case studies of how they deployed AI-powered tools in their enterprise.

It's an exciting time to track the evolving world of collaboration and how people connect with one another. What follows are the highlights for this year's Enterprise Connect show.

A Comprehensive Checklist For Technology Leaders

Embarking on AI initiatives without the proper groundwork can lead to ineffciencies, unnecessary expenses, and missed opportunities for your organization. This checklist is designed to assist technology leaders like you in thoroughly assessing your organization’s preparedness for implementing AI work|ows at scale, setting the stage for genuine business transformation.

From personalized recommendations to predictive customer service, AI revolutionizes the customer experience. However, challenges such as data accuracy, bias, and customer confidence remain. This groundbreaking report outlines actionable insights and use cases, guiding you on how to leverage AI for unparalleled personalization. Whether you're at the forefront of AI adoption or just beginning the journey, this report is your roadmap to staying ahead in 2024 and beyond. Download now and seize the future of CX.

With hundreds of millions of people using Large Language Models (LLMs), also called Generative AI (GenAI), to answer queries, write poetry, pass the Turing test and so much more, it’s safe to say that each one has a pretty good idea what using an LLM costs.

For enterprises and for solution providers (like CCaaS, BPOs, Cloud Computing specialists), pricing is more complex. Ultimately, the price can vary significantly based on your specific requirements. As IT and Finance executives take a more active role in decision-making surrounding LLMs and GenAI, it helps to have an understanding of the cost-drivers that give shape to pricing regimens of foundation LLM providers.

Only by integrating your organizations and your data can your enterprise truly deliver world-class Customer Experience.

It’s critical to have a holistic approach to your customer experience strategy, one that leverages all the relevant teams that touch the customer experience and brings together the information, insights, and initiatives spread out among these various teams.

Download highlights from Enterprise Connect 2023 sessions, with key takeaways and advice on the new normal at work, from hybrid work to generative AI. The articles around this year's Enterprise Connect event reflect the issues with which we're all grappling as the ongoing transformations of how and where we work transform what we do while we're working.

Topics include:

• AI Is Everywhere; But It’s Still Our World
• Amazon, Zoom Add to Their AI Portfolios
• Google Fleshes Out Generative AI Tech For Call Centers
• Microsoft Ups its Teams Game with Copilot AI
• Webex Integrates Intelligence Throughout its Platform
• Five Ways Generative AI Will Change Collaboration
• Do You Really Want ChatGPT Talking to Your Customers?
  

View this free session from Enterprise Connect 2023 presented by Omdia research analyst Adam Holtby. Holtby presents the results of a recent survey of APAC-based enterprises regarding the future of work. Learn how businesses throughout the region are dealing with the challenges, and where they see the future trends heading.

In this free session from Enterprise Connect 2023, Audrey William, Principal Advisor at Ecosystm, outlines what APAC CX leaders need to do to push the boundaries in CX delivery through the application of people, processes and technologies.

70% of Customer Experience (CX) leaders in Asia Pacific place a high importance to personalisation. The new CX economy requires organisations to meet the customers where they are and on their terms. It requires a proactive approach to reach out to the customers before they initiate an interaction, rather than the traditional, reactive customer engagements of the past. Technologies such as AI and Analytics are becoming more important than ever, as are methods including processes to deepen understanding of customer conversations and journeys. Enterprises must understand how customers are behaving and what is driving that behavior, and understand their journeys.