Typewriter with a paper saying "Artificial Intelligence"

Making AI a Part of your Company Culture

With the disruption of the COVID-19 pandemic, it’s no surprise that one of the most significant changes companies face is the change to a more automated business model. Supply chains have shifted and adapted. Traditional storefronts have moved online, and software as a service (or SaaS) providers have popped up seemingly overnight to support these global changes. Companies that resisted pre-COVID technological business advantages have suffered or failed altogether. Despite being a little shaken, those left standing are in a race to find and utilize AI and the most efficient ways to manage the large amounts of data that the shift to digital business provides.

Access to large amounts of unprocessed business data, such as demographics, sales information, and CRM software, has rapidly created the need for consolidated data services. Without the ability to translate the raw data into actionable information, once again, businesses run the risk of failing to keep up with competitors who squeeze every ounce of efficiency from the data they collect.  

The answer to drowning in our disjointed data and the catalyst for the business landscape shift is AI. And while it may be technically simple enough to adopt a new AI software for your company, this doesn’t mean that your company culture is ready to use the information well. 

Monolithic corporate structures that once stood tall thrived in a world where buying something required a trip to the store or when sending a message needed one or several pieces of paper. If the message was for more than one person… let’s say it wasn’t very efficient. This is an extreme example, of course. Most businesses have fully adopted email, at least at this point. However, the same business structures that created this antiquated way of doing business still exist. Business leaders must acknowledge if they plan to shake off any dead weight and become as adaptable as possible. 

One of the biggest changes that businesses face is the newest generation entering the workforce. Many companies have struggled to keep up with the shift to ensure their companies present GenZ workers with opportunities to thrive. 

Luckily, this goes hand in hand with technological development. While older, more experienced business leaders might juggle the different technical aspects of AI software to change a company’s operational system, digital natives and younger generational employees have a much easier time adopting and adapting the technology. In this sense, any software choices should increase business efficiency on the back end for new generations of workers who will use this technology from now on.

Will you have to rebuild your IT infrastructure every time your company decides to use new software? Does your framework allow for the integration of several services, all designed to collect critical business data? According to the report by Cohesity, The State of Data Management, more than 40 % of IT professionals spend too much time managing data infrastructure instead of working on more critical projects. Working towards improving this will provide peace of mind and flexibility to corporate leaders while they are adapting to rapid technological changes. All things that data management as a service (or DMaaS) coupled with AI intend to remedy. 


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