Omri Kohl is the CEO and co-founder of Pyramid Analytics. He oversees the strategy and operations for the analytics leader’s global team. This article was published in Forbes
Omri Kohl in Forbes –
Although enterprise companies have ramped up the adoption of AI and advanced analytics in recent years, many of those initiatives remain as pilots only. According to one report, as of November 2019, 76% of C-suite executives claimed they struggled to scale AI investments despite acknowledging they are critical to their growth initiatives. AI is critical to advanced analytics, but neither has been included in most mainstream operations. According to Gartner, all of that is about to change: “By the end of 2024, 75% of organizations will shift from piloting to operationalizing artificial intelligence (AI), driving a five-times increase in streaming data and analytics infrastructures.”
One of the biggest barriers to broad AI adoption has been the inflexibility of those systems when accessed by a wide variety of business users. The cost and accessibility of computing power have been issues as well. AI tools might be highly effective at solving complex business problems, but they may be unscalable for some companies and inaccessible for most employees.
Fortunately, recent progress with the ways user-based systems interact with complex, AI-driven ones make operationalizing AI, machine learning and advance analytics that augment human intelligence more viable. Scalable cloud technologies make compute resources more accessible as well. For decision-makers, these technologies have become much more promising as company-wide solutions.
The question to ask, then, is this: “Is my organization ready to ‘go mainstream’ and transform our AI pilots into full, operational competencies?”