Openai's ChatGpt and Deepseek are one of the growing ranks of rivals as high-tech companies compete to lead the hot field of generative artificial intelligence models.
AI is rapidly reshaping almost every industry, committing to being more efficient and competitive. But somewhere along the way, “AI” has become all the term used for everything from simple automation to complex generative models. result? A glossy façade with almost substantial innovation underneath.
This is done by Michael I. Jordan, professor in the Department of Electrical Engineering and Computer Science and Statistics at the University of California.
Too many organizations are rushing to adopt AI without a true understanding of what it is and how it works. The cutting is not only superficial, but also a serious risk.
This is something businesses and the technology sector need to think about as it is here that AI appreciation day.
Artificial Intelligence Appreciation Day is celebrated every year on July 16th. With discoveries of science, technology and healthcare, AI offers the potential for a more evolved future. AI tools dominate a part of the market, sometimes adding value and making human life easier.
To stock what AI actually means to business, Digital Journal We reviewed the opinions of two industry experts.
Not all solutions fit your needs
The first is Mayank Kumar, the AI engineer founded at Deeptempo. Kumar announces the possibilities of AI, but “AI is the most consequential innovation in modern technology and cybersecurity. When applied thoughtfully, it can dramatically improve the way organizations detect threats and adapt to changing decision-making. The underlying technology itself.”
To explain these concerns, Kumar stated: “Takes the difference between traditional machine learning and deep learning. Legacy models require weeks of labeled data and retraining just to run in a new context. In contrast, deep learning-based approaches can leverage pre-trained models built on real-world network telemetry, providing large, unlabeled, VPC flow data like Netflow, like real-world network telemetry. It is transformative, but gives rise to benefits when digging deeper, asking difficult questions, and tailoring the technology to the unique needs of an organization.”
The outside is shiny, but often empty in the center
Seeing AI's frailty is Evan Powell, CEO of Deeptempo. “AI Thanksgiving Days are often filled with praise, so don't get me wrong.
Powell uses cybersecurity to say, “Let's think about security. For example, if you're chasing shiny things, bolting AI into an old security workflow might be the easiest way to fix it. Also, Positives can't see AI attacks. Attackers are avoiding AI detection. Risk?”
So, just as we actually deal with “artificial intelligence”? Here at Powell Ponders: “Across the middle, “AI” has turned into a vague label used for everything from machine learning to basic models to generation tools. It becomes an innovation doughnut and is shiny on the outside, but often does not employ these technologies.
Powell concludes: “Yes, let's celebrate AI! But take the time to get it deeper. Beyond the buzz and involved in how it actually works, we unlock smarter decisions, stronger outcomes, and futures that are far more promising for the organization's AI.”
