Advanced technologies are inevitably democratized in companies

If a sales manager or other executive at your company isn’t currently talking about artificial intelligence (AI), it’s time to ask them why and get them involved. Excuses are becoming increasingly rare when it comes to moving to advanced processing technologies. Solutions such as artificial intelligence are now readily available and businesses no longer need to invest heavily to stay ahead of today’s digital economy. In addition, it becomes impossible to do business without transformative digital technologies. It is only a matter of will, education and evangelization of the new horizons that these technologies open up for companies.

Automation takes us there. John Rose, chief technology officer at Dell Technologies, says transformative digital technologies are needed now, but there simply aren’t enough experts on these topics to keep the company competitive in the 2020s: “It’s a problem of scale.” he explained in a recent interview published by MIT Technology Review. “Without autonomous operations, it is impossible to keep up with the growing opportunities to become a more digital business using only human efforts. »

The choice is clear, he adds: to meet the need for more computing power, “we could either try to hire exponentially more people, or do it differently, that is, distribute work between people and machines in a more creative and efficient way.” The good news, John Rose continues, is that “you don’t have to be at the forefront of digital technology to the best of your ability. You don’t need a giant team of data scientists. You do not need to develop your own software. You don’t need to create your own infrastructure. You can consume it from any number of supply sources, which actually provide you with very advanced and almost ready-made results for many situations.”

AI and machine learning entered the business lexicon

This also applies to the size of IT teams, he continues. “In terms of infrastructure, a business that today has a small IT organization but uses offline operations can create a much larger and scalable infrastructure. In addition, today’s IT teams “can expand their capabilities to the edge, can have a multi-cloud strategy, and can probably do it faster and better than the giant organization of experts two years ago.”

Over the past two years, there has been “a gradual shift towards smarter, more autonomous systems, different consumption patterns,” explains John Rose. This paves the way for the democratization of technology. “A few years ago, to successfully complete a digital transformation, a lot of work had to be done. There were no finished products. Companies were not necessarily created to do this for you in an easy to use way without a huge amount of experience within your company. »

As a result, everyone is involved in decision making and technology adoption. For example, it’s very common these days to hear the head of sales talk about AI, he says. “If this is not happening in your business, you should probably ask yourself why. Because selling is a relationship between you and your buyer, but there is a third party that can help you, and that third party is data and artificial intelligence that can give you deeper insights and more contextual awareness, and be more responsive. to your client. »

John Rose adds that “it’s amazing to see technical terms like AI, machine learning and autonomous operations now becoming part of the business conversation. I think most business leaders understand that there is a third party in a relationship. It’s not just about them and their customers, it’s about the technologies they use that can ultimately change the economics and productivity of their part of the business, be it sales, services, engineering or computer science.

More cohesive teams

Until a few years ago, advanced technologies such as AI were the preserve of companies with large resources and talented internal employees. “They had to be able to tap into the pool of talent to really develop their own technology or really live in the slums,” says John Rose. It was a “to have or not to have” scenario. Today it is clear that we still need smart people. But now companies with much smaller software development teams using low-code applications and containerization and automation tools can develop really interesting software assets at a much lower cost.

So, “instead of having a giant data analytics team to develop your entire tool chain, a much smaller data analytics team and analytics team can actually leverage existing platforms and capabilities,” explains John Rose. In addition, these platforms allow small teams to “do almost a better job than the companies did two years ago.”

With the democratization of advanced technologies, the successful adoption of digital technologies must be associated with the partnership of man and machine. “The scale of the digital transformation challenge exceeds the human capacity of your IT organizations and the budget you have to use only human effort,” he notes. “It inevitably forces you to look for ways to shift the work to autonomous systems, to infrastructure, to technology, so that this scarce resource of human potential can still keep up with high-level goals. »

Source: ZDNet.com