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How Financial Services and Insurance Streamline AI Initiatives with a Hybrid Data Platform

Cloudera

With the emergence of new creative AI algorithms like large language models (LLM) fromOpenAI’s ChatGPT, Google’s Bard, Meta’s LLaMa, and Bloomberg’s BloombergGPT—awareness, interest and adoption of AI use cases across industries is at an all time high. But it’s also fraught with risk.

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Once Upon a Time in the Land of Data

Cloudera

Tracks represented financial services, insurance, retail and consumer packaged goods, and healthcare. Overall, it struck me that while data science is not new, most firms are still defining the mission of the data office and data officer. Successes are real, but getting there takes creativity and fortitude.

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2023 Predictions: Data Trends That Will Dominate Business Agenda in APAC

Cloudera

In the past year, businesses who doubled down on digital transformation during the pandemic saw their efforts coming to fruition in the form of cost savings and more streamlined data management. 1- Treating data as a strategic business asset . 2- Operationalizing adaptive AI systems for quicker business decision-making.

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Fintech App Development – Process, Cost

Existek

In the article, we’ve covered the topics of what types of fintech apps there are, why would you want to create it, how you would do it step by step, how much it would cost, and what features are necessary to include. It has already changed the financial industry beyond recognition. Curious to find out? Keep reading.

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