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Data is essential: Building an effective generative AI marketing strategy

IBM Journey to AI blog

According to the IBM survey, when CMOs were asked what they thought the primary challenges were in adopting generative AI, they listed three top concerns: managing the complexity of implementation, building the data set and brand and intellectual property (IP) risk. The journey starts with sound data.

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How Axfood enables accelerated machine learning throughout the organization using Amazon SageMaker

AWS Machine Learning Blog

Axfood has a structure with multiple decentralized data science teams with different areas of responsibility. Together with a central data platform team, the data science teams bring innovation and digital transformation through AI and ML solutions to the organization.

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How to improve your finance operation’s efficiency with generative AI

IBM Journey to AI blog

Interpretation and contextualization: Financial reports need to deliver insights beyond the numbers they feature; they should provide meaningful context that aids in interpreting financial data. If poorly executed, these reports can limit our ability to explain the underlying drivers of performance.

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Getting ready for artificial general intelligence with examples

IBM Journey to AI blog

” AGI analyzes relevant code, generates a draft function with comments explaining its logic and allows the programmer to review, optimize and integrate it. Example: While building an e-commerce feature, a programmer tells AGI, “I need a function to calculate shipping costs based on location, weight and method.”