THE ARTICLES ON THESE PAGES ARE PRODUCED BY BUSINESS REPORTER, WHICH TAKES SOLE RESPONSIBILITY FOR THE CONTENTS. Ingram Micro is a Business Reporter client. There is a certain amount of fear and anxiety about the emergence of AI and gen AI. Enterprises know they need to competitively embrace AI and its many benefits, including working to streamline operations, enhance productivity and drive revenue through intelligent automation and analysis at scale. But how to approach AI and make the right decisions when it comes to integrating it can be daunting and time-intensive for companies who may not have any significant history in AI strategy and use.
With extensive experience navigating the evolution of AI, and now spearheading the global deployment of our proprietary AI-powered digital experience platform, Ingram Micro has identified four key strategies to implement AI effectively and drive valuable outcomes at scale.
AI brings scale to human intelligence. It enables us to create the larger datasets we need in analytics – for example, collectively taking the data humans have created and developing a much broader database from which enterprises can gain new insights.
We know the most effective use of AI must start with cleaning up your data. Good data into AI produces algorithms that have true value. Over time we also know that as humans interact with algorithms, machine learning enables this knowledge to be used to improve algorithms.
Generative or gen AI helps us create content and intelligence by looking into large datasets, or language models, and mimicking a human brain. It can help workers perform tasks faster and free up time for other beneficial tasks and more relationship building.
