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Creating an artificial intelligence 101

Dataconomy

How to create an artificial intelligence? The creation of artificial intelligence (AI) has long been a dream of scientists, engineers, and innovators. Understanding artificial intelligence Before diving into the process of creating AI, it is important to understand the key concepts and types of AI.

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4 paths to sustainable AI

CIO Business Intelligence

Use more efficient processes and architectures Boris Gamazaychikov, senior manager of emissions reduction at SaaS provider Salesforce, recommends using specialized AI models to reduce the power needed to train them. “Is He also recommends tapping the open-source community for models that can be pre-trained for various tasks.

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The AI continuum

CIO Business Intelligence

Deep learning AI: A rising workhorse Deep learning AI uses the same neural network architecture as generative AI, but can’t understand context, write poems or create drawings. Train a model from scratch Training your own LLM is out of reach for most organizations, and it still may not be a wise investment. Learn more. [1]

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SAP unveils tools to help enterprises build their own gen AI apps

CIO Business Intelligence

At the same time, he said, SAP is investing in building a “large business model” — like an LLM, but trained on business transactions — that the company is uniquely placed to build. SAP is training its model on anonymized data from thousands of enterprises using its software, with their consent.

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Get AI in the hands of your employees

CIO Business Intelligence

Of course, these technologies must integrate back into the larger architecture, but the IT team can help them with that.” We released a couple of options for our employees to experiment with, one commercial LLM service and one that’s open source.” I believe your employees can experiment regardless of your architecture,” he says.

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The year’s top 10 enterprise AI trends — so far

CIO Business Intelligence

With a pre-trained model, you can bring it into HR, finance, IT, customer service—all of us are touched by it.” Traditional ML requires a lot of data, experienced data scientists, as well as training and tuning. Open-source AI Open source has long been a driver of innovation in the AI space.

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4 ways CISOs can manage AI use in the enterprise

CIO Business Intelligence

A recent CIO column suggested that the biggest worry for CIOs should not be the fear of AI growth but rather figuring out the best way to gradually incorporate generative AI into the enterprise, either as an add-on model or a foundational piece of the architecture. Government oversight All the recent innovation has certainly caught the U.S.