If the head of sales or other business at your company these days is not talking about artificial intelligence, it’s time to ask why – and get them to work. We are running out of excuses when it comes to the transition to advanced transformational technologies. Solutions such as artificial intelligence are now readily available, and businesses no longer need to make significant investments to stay ahead in today’s digital economy. It is also impossible to do business without transformative digital technology. It is only a matter of freedom, education and evangelization of the new horizons that these technologies open up for business.
Automation takes us there. John Roose, global technology director at Dell Technologies, says transformative digital technology is now a necessity, but there is simply not enough people to keep the enterprise competitive in the 2020s. “It’s a problem of scale,” he explained in a recent interview published by the MIT Technology Review. “Without stand-alone operations, it becomes impossible to keep up with the growing opportunity to grow into a digital business using only human effort.”
The choice is clear, he adds: to meet the demands of greater IT capacity, “we could try to hire more people exponentially, or we could do it another way, which is to divide work between people and machines in a more creative and efficient way ». The good news, Rose continues, is that “you don’t have to go ahead in digital format in your feature set. You don’t need a giant data science team. You don’t need to develop your own software. You don’t need to build your own infrastructure. You you can consume it from any number of supply sources that actually give you very advanced and almost turnkey results for many situations.
This also applies to the size of IT teams, he continues. “In terms of infrastructure, today a company that has a small IT organization but uses stand-alone operations can deliver a much larger, more scalable infrastructure.” In addition, modern IT teams “can expand additional capabilities, can have a multi-cloud strategy and can do so faster and better than the giant organization of experts two years ago.”
The last two years have seen “a shift towards smarter systems, more autonomy, different consumption patterns,” says Rose. This paves the way for the democratization of technology. “A few years ago, to successfully implement a digital transformation, you had to do most of the work. There were no turnkey products available. Companies weren’t necessarily set up to do it for you in a way that was easy to consume without a huge experience in your company.”
As a result, everyone is involved in making technological decisions and implementing them. For example, nowadays you can often hear the head of sales talking about AI. “If this is not happening in your company, you should probably ask why. Because sales are a relationship between you and your customer, but there is a third party who can help you – and this third party – it’s data and artificial intelligence which can give you a better idea and be more context – sensitive and more responsive to the customer. “
Rose adds that “it’s fascinating to see how these technical terms, such as artificial intelligence and machine learning and autonomous operations, are now part of the business dialogue. I think most business leaders understand that there is a third party in a relationship.” It’s not just them and their customers, it’s the technology they use that can ultimately change the economy and productivity of their part of the business, whether it’s sales or services, engineering or IT. ”
Just a couple of years ago, advanced technology, such as artificial intelligence, was a province of companies with large resources and talented employees. “They had to be able to master the talents to really develop their own technology or be really in the weeds,” Roose says. “It was a“ have and don’t have ”scenario. Moving forward to today, it’s clear that we still need smart people. But now companies with much smaller groups of software developers using low-code applications as well as containerization tools and automation, can develop really interesting software.
So, “instead of having a giant data science team to develop your entire chain of tools, a much smaller data science team and think tank can actually use the platforms and capabilities that exist,” Roose explains. In addition, these platforms allow smaller teams to “do a job almost better than what companies could have done two years ago”.
With the democratization of advanced technologies, the successful introduction of digital technologies must be linked to human-machine partnerships. “The scale of the digital transformation exceeds the human capabilities of your IT organizations and the budget you should only use for human effort,” Rose says. “It inevitably leads you to find ways to move work into autonomous systems, into infrastructure, into technology, so that this scarce human resource can still keep pace with high-level goals.”