So, check this out, man. Turns out, a recent study found that most companies who are into generative AI, they prefer this hybrid approach, you know? Like a mix of public and private models. And the reason for this is a couple of things. First, you got the security risks, which can really slow things down. And then you got the technical complexity, which can also be a real pain. But despite all that, companies are really diggin’ this hybrid approach because it gives them the best of both worlds, you know? They can protect their precious data, maintain control over their AI models and results, and it’s cost-effective. It’s a smart move, man. And it tells us a lot about what these IT decision-makers prioritize when it comes to generative AI adoption.
So, this study was done by Dell Technologies, and they surveyed 500 IT decision-makers who are all involved in generative AI initiatives. These guys were located in the U.S., U.K., France, and Germany, so it’s a pretty global study. And they gathered all this data in August and September 2023, so it’s fresh, man.
Now, let’s talk about what’s really driving companies’ strategic approach to generative AI. According to the study, 80% of the respondents who have moved beyond the pilot stage with generative AI, they use this centralized decision-making and/or a center of excellence in their approach. And here’s the cool part, man. 87% of these people who have moved past the pilot program, they believe generative AI is gonna deliver some real results. They’re optimistic about it, you know? And that’s why 76% of them are actually increasing their budgets to include AI. They see the potential, man.
Now, when it comes to making decisions about generative AI, there are a few things that these IT decision-makers really value. Let me break it down for you. First, you got security, man. Protecting that valuable data is crucial. Then, you got control over the models and getting better output results. And of course, cost is always a factor, you know? So, these are the things these decision-makers are thinking about when they’re choosing between public models, building their own, or going for something in between.
I talked to this guy Ryan Orsi from AWS, and he summed it up pretty well, man. He said, “Generative AI is a brand new technology that now humanity has to play with. And we’re looking at whether it operates similarly to anything I’ve used in the past, especially when it comes to access and identity.” And you know what, man? He’s got a point. We gotta think about what these providers are doing with their prompts and responses. It’s all about data privacy and data security, you know?
So, according to the survey, here’s the breakdown of how these IT decision-makers approach generative AI. 38% of them go for that hybrid approach, classifying their data and using a mix of public and private models. Then, you got 21% who retrain an existing model using their own data in their own environment. You also got 16% who prefer to purchase public models in the cloud. And there’s a small percentage, 9%, who actually wanna build their own model from scratch. It’s a mix, man.
Now, let’s talk about where these organizations are in their generative AI adoption journey. According to the survey, 44% of the respondents are still in the early to midpoint of adoption. They’re either still figuring things out or they have established some core use cases, but they haven’t deployed any solutions yet. Then you got 42% who are not too hesitant about generative AI, which is a good sign. But you also got 29% who are somewhat hesitant. There are always gonna be those who are very hesitant, about 8% of them, and those who are not hesitant at all, about 21% of them, man.
Now, get this, man. Almost half of the respondents, 49% of them, who have moved beyond pilot programs, they expect to see some value within six months to a year. They’re optimistic, you know? They believe generative AI is gonna have a significant, if not transformative, impact. And I gotta say, man, they got some big expectations. They think generative AI is gonna provide productivity gains, streamline processes, and achieve cost savings. It’s gonna change the game, man.
But hey, it’s not all sunshine and rainbows. There are still concerns that are slowing down generative AI adoption. According to the survey, the top reasons for hesitation are the security risks, like data or intellectual property leakage. Then, you got the technical complexity, which can be a real pain. And of course, there are data governance concerns, like regulations and compliance. Cost is also a factor, and there are even concerns about ethical and responsible implementation. It’s a complex world, man.
Now, here’s something interesting. The survey found that a small number of organizations, about 5% of them, actually ban the use of generative AI. And when you break it down by country, the U.S. has the highest percentage of organizations banning generative AI, about 6%, while the U.K. has the lowest, about 2%. It’s definitely something to think about, man.
So, let’s get into some news about Dell and their generative AI products. Dell has been really forward-looking when it comes to adopting generative AI in their own products and providing services related to generative AI. They recently announced that they’re gonna add pre-trained models and inferencing to their generative AI services. And they’re doing this with this thing called Dell Validated Design for Generative AI with NVIDIA for Model Customization. It’s gonna be available globally starting in late October. And if you’re looking for some professional services in the world of generative AI, Dell’s got you covered. They’re rolling out a suite of Dell Professional Services for Generative AI, starting in select countries in late October. So, it’s an exciting time for Dell, man.
Of course, Dell’s got some competitors in the generative AI space. You got companies like Snowflake, Amazon’s SageMaker, Google Cloud Platform’s AutoML and Vertex AI, and Microsoft Azure. It’s a competitive market, man. But that’s what drives innovation, you know? It’s all about pushing the boundaries and seeing what this technology can really do.