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When building AI institutions, some companies find that the most difficult part is sometimes determining what should be built and how to address the various operations concerned.
in Venturebeat Transform 2025The quality of the data and its governance was in the forefront and the center, as companies view beyond the experimental stage of artificial intelligence and explore ways to produce and expand agents and other applications.
>>Watch every coverage of our conversion 2025 here<Praaden Holcht, Administrative Director and partner said Boston Consulting Group. He added that companies need to think about a set of complications related to exposure to data, artificial intelligence budgets of the personality, arrival permits, how to manage external and internal risks.
Sometimes, new solutions include ways to use unusable data. to talk On the stage on Tuesday afternoonHolstege gave an example of one customer who used large language models (LLMS) to analyze millions of ideas about people who encourage people, complaints of positive products and comments – and discover ideas that were not possible a few years ago with NLP processing.
“The broader lesson here is that the data is not homogeneous,” said Hulcheg. “You have everything from the records records to documents to customer notes to track data that is produced in the context of applying applications and a million types of data.”
Some of these new possibilities thanks to the improvements in AI’s ready -made data.
“Once you are in it, you start getting this feeling of possible art,” said Etelinger. “It is a balanced work between that and comes with a clear sense of what you are trying to solve. Let’s say that you are trying to solve customer experience. This is not an appropriate condition, but you don’t always know. You may find something else in this process.”
Why is AI’s ready -made data as it is very important to adopt the institution
Amnesty International’s ready -made data is an important step to adopt artificial intelligence projects. In Gartner separate reconnaissanceMore than 500 directors of managers of managers of surfing managers and medium -sized technology leaders said they expect the adoption of the ready -made infrastructure for Amnesty International in faster and more flexible data operations.
It can be a slow process. Until 2026, Gartner Expected Institutions will abandon 60 % of artificial intelligence projects that are not supported by ready -made data from artificial intelligence. When the research company has surveyed data management leaders last summer, 63 % of the respondents said that their institutions had no applicable data management practices, or they were not sure of practices.
Awais Sher Pajwa, head of data and banking services for Amnesty International at Bank of America, said when publishing processes become more mature, it is important to consider ways to face continuous challenges such as the Anged AI modeling model over time. He added that the institutions do not always need to accelerate something for the ultimate users who have already advanced some extent how they think about the capabilities of the chat based on chat.
“We all in our daily life are users of chat applications there,” said Sher Pajwa. “Users have become completely developed. In terms of training, you don’t need to push him to the final users, but this also means that it becomes a very cooperative process. You need to know the elements of implementation and expansion, which becomes the challenge.”
Pain and complications for artificial intelligence account
Companies also need to consider the opportunities and challenges of applications -based applications, hybrid and hybrid applications. Supports the cloud Artificial Intelligence Applications Sher Pajwa said that allowing the testing of different technologies and expanding in a more experimental way. However, he added that companies need to consider various infrastructure issues such as security and cost – and that sellers such as NVIDIA and AMD make it easier for companies to test different models and different publication methods
Holchteg said that the decisions about cloud service providers have become more complicated than they were a few years ago. While the latest options such as Neoclouds (the provision of GPU and virtual devices) can sometimes provide cheaper alternatives to traditional hyperactivity, and indicated that many customers will publish Amnesty International as their data is already-which will make the major infrastructure transformations less likely. But even with cheaper alternatives, Holstege sees a computing, cost and improvement. For example, he pointed out that open source models like Llama and Mistral can have higher computing requirements.
“Do you make the cost of the account worth all this trouble to withstand a headache to use open source models and deport your data?” Holcht request. “Just the limits of the options that people face are now much wider than they were three years ago.”
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