McKinsey & Company Associate Partner Sertan Eratay was the guest of the “Phygital World” program of Ebru Yonca Çapa from Harvard Business Review Turkey. Sertan Eratay’s words about artificial intelligence attracted attention.
Firstly, summarizing the important breaking moments in the history of technology, Sertan Eratay said:
NOW WE ARE ON THE EVE OF SUCH A TRANSFORMATION AGAIN”
“In fact, when we look back in the past, maybe in the last 20 years, there have been breaking moments and breaking periods brought about by certain technologies. When we look back, of course, the introduction of personal computers into our lives was such a breaking moment, the introduction of the internet into our lives was such a breaking moment, and then commerce became e-commerce.” The transition from e-commerce to the development of shopping and commerce is such a breaking point and of course the introduction of mobile phones and mobile broadband into our lives is a breaking point and around these, both companies and consumers are experiencing a great transformation and great adaptation. We see that both trade, daily life and social life change and develop on the axis and around these technologies.
Today, we use social media on our phones, whereas maybe 10 years ago we used Facebook on our computers. Now we are on the eve of such a transformation again, and the biggest technological trend that everyone is talking about is artificial intelligence. “Artificial intelligence has actually been in our lives for a long time, it has been used for a long time, but it has moved to a whole new level, especially with the subject we call generative artificial intelligence (Generative AI).”
“IT HAS ENTERED OUR LIVES SO QUICKLY”
Stating that ChatGPT is now at a much more developed and competent point, Eratay said, “ChatGPT’s time to reach 1 million users was 5 days, that is, it was able to reach 1 million users in 5 days. If we need to compare this, Instagram could reach 1 million users in 2.5 months.” “Facebook was able to access it in 10 months, so productive artificial intelligence has entered our lives so quickly.” said.
Eratay continued as follows:
“WE ARE CURRENTLY ENTERED INTO THE ARTIFICIAL INTELLIGENCE TECHNOLOGY WAVE”
“On the other hand, while we see a great acceleration on the consumer side and this competence side in 2023, starting from 2024, we are actually starting to see artificial intelligence and productive artificial intelligence taking a place in the lives of companies very quickly and starting to transform companies. Now, starting from 2024, companies will start to “We see and will continue to see that different scenarios, which we call use cases, implemented with intelligence, are starting to increase. We are currently entering the artificial intelligence technology wave, and this is starting a very rapid transformation, especially with productive artificial intelligence.”
THREE KEY DIFFERENCES
“In fact, traditional artificial intelligence and the classical artificial intelligence models it brings have been in our lives for a long time, using them in companies, for example in credit scoring in a bank.” Eratay explained the three main differences of productive artificial intelligence from classical artificial intelligence as follows:
“One of them is language. In other words, while classical artificial intelligence used to work mostly with algorithms, coding and commands, generative artificial intelligence works on the language and by understanding the language and producing it over the language, and these so-called Large Language models, that is, language models can now be processed, understood and produced by artificial aeka. The biggest innovation is that it can respond to it with language. The second is data modeling. In the past, in classical artificial intelligence, we had to create such organized data, which we call very structured data, and feed models with these data sets. “You can put it in any format, in any way, and this artificial intelligence can scan this data, extract meaning and process it. This, of course, adds great flexibility, speed and convenience in the use of this technology. The third is production.”
“THESE SMALL TESTS DO NOT PROMOTE NEITHER THE GROWTH, PROFITABILITY OR EFFICIENCY OF THE COMPANY.”
Eratay evaluated the reflections of artificial intelligence in companies. Eratay said, “It is not enough to do any digital technology in such a curious way with a few small trials and pilots, in other words, it does not contribute to the company.” Therefore, from a holistic perspective, which we call a bit holistic, how can we use this technology to move the company forward? Actually, we need to think about it and plan it.” he added.
Lastly, Eratay said, “When you ask ChatGPT to tell a Nasrettin Hodja joke, he cannot tell it or what he tells is not funny, but maybe he will be able to do that tomorrow too, so this is developing very quickly.” he said.
