How AI Solves Business Challenges: 2025 Edition
A new era of AI is unfolding, with companies moving beyond pilot projects and scaling deployments. AI is becoming increasingly powerful, affordable, and accessible, and many new and exciting use cases are popping up.
However, businesses are also facing challenges in identifying where AI can drive value and how to deploy emerging solutions with minimal friction. This is creating new opportunities for technology advisors to lead the next wave of transformation.
Telarus’ latest eBook, How AI Solves Today’s Business Challenges (updated for Spring 2025), takes a closer look at the latest developments and use cases, and how technology advisors can provide greater value and deliver optimal outcomes. Here’s a closer look at what to expect in this new edition.
How AI Solves Today’s Business Challenges: An Overview
Key AI terms and technologies
With AI, there is an ever-expanding list of terms and technologies to know about—from machine learning (ML) to agentic.
This guide provides an updated AI glossary, serving as a foundational resource to help you understand and communicate important concepts.
Emerging AI use cases
While customers may recognize the need for AI, they often struggle to pinpoint where it can be applied or what solutions to use.
To help guide customers, Telarus points out some common AI use cases across four key areas including customer experience (CX), cybersecurity, cloud, and IoT.
Why AI depends on network readiness
For AI to function optimally, businesses must have reliable and resilient networks. Unplanned downtime can lead to a variety of negative consequences like data disruption, customer service delays, and loss of customer trust.
You’ll learn exactly why having a modern and reliable network is critical for success, and some key considerations that can open the door to additional sales and recurring revenue streams.
How advisors fit into the picture
Selling AI isn’t the same as offering traditional technologies. It requires a deeper level of customization, and a complex understanding of each client’s data and goals. Technology advisors also need to be aware that attitudes and perceptions can vary with AI, across different teams and roles.
In this guide, you’ll learn more about the technology advisor’s evolving role in delivering successful AI strategies, and how to approach customers with new solutions.