Measuring ROI Success for Artificial Intelligence Projects
In the rush to develop AI initiatives to maximize productivity for their teammates and value for their customers, many organizations have not planned for a return on investment (ROI) before starting. By building and following a standardized framework for tracking and measuring, initiatives can be evaluated to see if they are returning value to the company and which ones need to be re-evaluated.
Unleashing Productivity with Microsoft Copilot in Teams: A Comprehensive Guide
Over the last few quarters, Microsoft has unleased a series of AI (Artificial Intelligence) companions within the Microsoft 365 ecosphere that can enable users to complete wide ranges of duties faster and more efficiently, taking over tasks that can make life more efficient. There are many daily and weekly tasks we spend too much time in the Office 365 suite on repetitive work that costs us time, creativity, and the ability to innovate.
A recent report, Forrester - Build Your Business Case For Microsoft 365 Copilot report (see below), predicted that 6.9 million US knowledge workers or approximately up to 8% of the total group will be using Microsoft 365 Copilot by the end of 2024. Of those, Forrester expects about a third of Microsoft 365 customers in the US to invest in Copilot in the first year, providing licenses to around 40% of employees during this period. Utilizing AI toolsets such as LLMs (Large Language Models), code creators, and chatbots allow users to minimize repetitive work and focus on new, creative endeavors.
Our latest thinking: Microsoft fabric
Numbers drive business. Often, the speed of those numbers is diametrically opposed to consumers' confidence in them. Due to obfuscated data lineage, complicated requirements, and high overhead, organizations balance what it takes to get the data with the delivery of data to business users. To overcome this complexity and overhead, Microsoft has created a solution called Microsoft Fabric. It is a suite of tools that work together to streamline the process of data wrangling and delivery of insights.
Data Transformation: Paving the Way for AI Success in Your Organization
Every organization has many customer facing and business management sites, apps, and technology systems that are continuously outputting increasing amounts of data as they support the business. Companies across many industries are exploring ways to leverage Artificial Intelligence (AI) to enhance their operations, increase productivity, and gain a competitive edge.
