Embracing AI

Embracing AI
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Julie Varghese, Business Unit Manager, Ingram Micro, discusses how customers can embark on the path to transforming their operations from Big Data to AI.

Regional customers are currently leveraging major solution offerings from Big Data and analytics vendors. At Ingram Micro, we have offered solutions to many government and financial institutions across the Middle East region.
Many organizations are still in the Descriptive stage when it comes to data analytics, utilizing traditional BI approaches, which includes getting all data together and using visualization to gain quick views on what has happened. During the Diagnostic analytics stage, it’s all about figuring out why an incident took place, and using techniques such as drill-down, data discovery, data mining, and correlations. Most analytics frameworks have been incorporating such features in their offerings. However, where it gets interesting is when trying to use predictive analytics to project what will happen. Typically, this is done by using existing data to train predictive
machine learning (ML) models and this is why analytics is part of the evolution that leads to AI.
Successful AI-enablement requires more than just a technology strategy; it requires the transformation of an organization’s people, processes and technology. At Ingram Micro, we follow a three-step approach – Ready, Build and Go-To-Market (GTM). The first approach involves aiming at educating the channel on AI and the transformation it can bring to the business. In the ‘Build’ stage, we are focusing on consulting, building solutions with vendors and partners, helping the channel with deployments and so on. The third
approach, which is GTM consists of many activities such as events, webinars, demand generation activities, lead qualification and so on.
We are also investing in skilled resources, i.e. data architects, data scientists and AI developers. As AI begins to deliver results and draw interest from all areas of the business, it introduces a host of netnew requirements and challenges.
AI is changing the way we develop products, the pace we develop products, and the way our products go to market. As with most digital transformation endeavors, achieving successful AI-enablement goes beyond just a technology strategy; it really comes down to transforming people, processes and technology.