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UK Government tests frictionless trade models with Ecosystem of Trust pilots

IBM Big Data Hub

The UK government’s Ecosystem of Trust is a potential future border model for frictionless trade, which the UK government committed to pilot testing from October 2022 to March 2023. The models also reduce private sector customs data collection costs by 40%.

Testing 83
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Agentic AI design: An architectural case study

CIO Business Intelligence

From obscurity to ubiquity, the rise of large language models (LLMs) is a testament to rapid technological advancement. Just a few short years ago, models like GPT-1 (2018) and GPT-2 (2019) barely registered a blip on anyone’s tech radar. That will help us achieve short-term benefits as we continue to learn and build better solutions.

Testing 111
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Scaling generative AI with flexible model choices

IBM Big Data Hub

In the previous blog , we discussed the differentiated approach by IBM to delivering enterprise-grade models. In this blog, we delve into why foundation model choices matter and how they empower businesses to scale gen AI with confidence. Why are model choices important?

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Companies Test Possibilities and Limits of AI in Research and Product Development

Smart Data Collective

Generative design is a new approach to product development that uses artificial intelligence to generate and test many possible designs. The technique is helping product design firm Seattle reduce costs and improve the quality of its products. Automated Testing of Features. Quality Assurance. Bias in Data and Algorithms.

Testing 117
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How to get your CFO to buy into a better model for IT funding

CIO Business Intelligence

Modern digital organisations tend to use an agile approach to delivery, with cross-functional teams, product-based operating models , and persistent funding. But to deliver transformative initiatives, CIOs need to embrace the agile, product-based approach, and that means convincing the CFO to switch to a persistent funding model.

Modeling 124
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Achieving cloud excellence and efficiency with cloud maturity models

IBM Big Data Hub

Cloud maturity models are a useful tool for addressing these concerns, grounding organizational cloud strategy and proceeding confidently in cloud adoption with a plan. Cloud maturity models (or CMMs) are frameworks for evaluating an organization’s cloud adoption readiness on both a macro and individual service level.

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Getting specific with GenAI: How to fine-tune large language models for highly specialized functions

CIO Business Intelligence

Large language models (LLMs) are hard to beat when it comes to instantly parsing reams of publicly available data to generate responses to general knowledge queries. Moreover, challenges around data privacy and recognition of intellectual property often require a level of transparency that simply does not exist in many off-the-shelf models.