Digital

Generative AI, also known as GenAI that can create new content or predictions based on given data, has been a revolutionary concept in the technology world. However, despite its potential to transform business processes, many companies are reluctant to fully embrace it. This reluctance stems from a variety of concerns and barriers, as revealed by research conducted by IBM, Forrester, BCG, and O’Reilly.

Just recently, we shared an insightful article on the potential pitfalls of choosing the wrong company for integrating Generative Pre-trained Transformer (GPT) . As powerful as this technology can be, it is not devoid of risks and challenges, especially when not properly integrated. Today, we delve deeper into this topic, examining new cases that have come to the surface and further emphasizing the importance of an experienced partner for GPT integration.

As the world leans heavily into digital transformation, one cannot overlook the significant role Artificial Intelligence (AI) plays in this shift. Specifically, the concept of Generative AI has been a game-changer in various sectors, notably in the business landscape. In this post, we delve into the concept of the Generative AI Value Stack, a four-layered system that efficiently incorporates AI into your business.

In the digital era, artificial intelligence (AI) has become a crucial part of our businesses, transforming the way we work, think, and act. One of the most vibrant branches of AI is Generative AI, which has the potential to create new data from existing ones. However, with great power comes great responsibility. Ensuring proper governance, compliance, and ethics when using Generative AI is paramount. This blog will delve into some of the most crucial policies your organization should implement when dealing with Generative AI.

Artificial Intelligence (AI) has made remarkable strides in the past year, with generative AI standing as one of the most intriguing developments. However, as promising as this technology is, it’s not without its risks. Companies considering the adoption of generative AI should first understand these potential pitfalls.

I’ve had the opportunity to witness firsthand the innovative strides made in the artificial intelligence domain. A key player in this arena is OpenAI’s Generative Pre-trained Transformer (GPT) models, which have transformed the way we perceive AI’s capabilities. But one question we often grapple with is: “Are there any limits to what we can achieve with GPT?”