How to Spot an AI Imposter - Part 2

Generative AI Forever Changes AI Perceptions.

I’m going to assume that you already understand the basics of AI and generative AI. However, it will be helpful to understand the Ferraro Consulting definitions to make better sense of the firm’s conclusions on what really matters for AI-enabled business intelligence.

When you understand a working definition of artificial intelligence, with human-like reasoning, self-learning, and other human characteristics, it is obvious that business intelligence technology is not quite there. However, with the exponential growth of compute power and expanded use of data for decision-making, we are making incredible strides toward true artificial intelligence. In addition, to better understand the state of AI, it is vital to know that much of what we are calling AI at this point is still a combination of machine learning and advanced analytics. There will be a day where AI will think, reason, learn, and adapt like humans; and it may not be that far off in the future.

With regard to generative AI, growth has been explosive, not because the technology is new or highly advanced, but because of advancements in the decades that preceded its release. In order to create content, it builds on a foundation of machine learning and digital advancements over the last ten years, or more. Consider what was already capable when generative AI arrived.

Before generative AI could write, spell checking, grammar checking, writing assistance, and writing recommendations were already available in many different products. For graphics, there were trillions of digital images and ample intelligence to scan, tag, and analyze all of these images. In music, there were more than 100 million digital songs on Spotify alone; along with the ability to analyze the music. For video, YouTube alone had more than 4 billion videos. Coding is almost too easy. All code is already digital, and language based. Software is already eating the world. None of these generative AI applications would be possible without an abundance of digital content and artificial intelligence that had already been applied in these areas over the last decade.

The same precedent was set for business intelligence, where AI enablement over the last decade has already lead to advanced use cases of generative AI in business intelligence platforms.

For a complete analysis of what really matters for AI enabled BI, read the Ferraro Consulting POV paper, Hype Alert: Not All AI Enabled BI Makes the Grade.