Digitising the Financial Industry and artificial intelligence have always been my passion
In an artificial intelligence enabled organization, traditional data governance practices face challenges due to the complexity of #AI algorithms, utilization of unstructured data, dynamic #data transformations, integration with external data sources, and the lack of interpretability in AI models. Discover how to overcome these challenges in our paper 🔗 https://okt.to/yOc0oJ
In an artificial intelligence enabled organization, traditional data governance practices face challenges due to the complexity of #AI algorithms, utilization of unstructured data, dynamic #data transformations, integration with external data sources, and the lack of interpretability in AI models. Discover how to overcome these challenges in our paper 🔗 https://okt.to/cZ6i0O
In an artificial intelligence enabled organization, traditional data governance practices face challenges due to the complexity of #AI algorithms, utilization of unstructured data, dynamic #data transformations, integration with external data sources, and the lack of interpretability in AI models. Discover how to overcome these challenges in our paper 🔗 https://okt.to/DnU5Eh
In an artificial intelligence enabled organization, traditional data governance practices face challenges due to the complexity of #AI algorithms, utilization of unstructured data, dynamic #data transformations, integration with external data sources, and the lack of interpretability in AI models. Discover how to overcome these challenges in our paper 🔗 https://okt.to/eVWSzG
Automation / Manual QA Engineer |AI/ ML/ Data Scientist/ Data Engineer| Certified Scrum Master
In an artificial intelligence enabled organization, traditional data governance practices face challenges due to the complexity of #AI algorithms, utilization of unstructured data, dynamic #data transformations, integration with external data sources, and the lack of interpretability in AI models.. Discover how to overcome these challenges in our paper 🔗 https://okt.to/rm9PNk
In an artificial intelligence enabled organization, traditional data governance practices face challenges due to the complexity of #AI algorithms, utilization of unstructured data, dynamic #data transformations, integration with external data sources, and the lack of interpretability in AI models. Discover how to overcome these challenges in our paper 🔗 https://okt.to/L8sZNM
The data center industry is seeing a transformative era marked by the rise of Generative Artificial Intelligence (#GenAI). This technology, which includes advanced models like GPT-4, is reshaping the landscape of data processing and management. For CEOs and CIOs, understanding the implications of this shift and preparing existing data center resources for the GenAI wave is crucial. Read our latest blog to learn more and how we can provide you with an actionable strategic plan for modernizing your data center for Generative AI. https://okt.to/vLRZO2 #LetsMeetTheFuture #newblog #GPT4 #AI #finops #ITChannel
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In today's data-driven world, a well-structured Data Estate is the foundation for successful AI and ML initiatives. From overcoming data silos to leveraging real-time processing, the right data strategy can unlock endless opportunities. Is your data estate ready to power the future of AI? Visit peopletech.com to discover how we help organizations build robust data frameworks for better insights and faster decision-making. Get in touch with our experts to assess your data estate. Write an email to info@peopletech.com or visit https://lnkd.in/gXubf97v #peopletechgroup #PTG #DigitalTransformation #FutureOfAI #BigData #ai #ml #artificialintelligence #machinelearning #AITransformation
AI is moving so fast you can’t afford to take a wait-and-see approach. But how can you harness the power of generative AI without risking your data, processes, governance and culture? Are you building your AI center of excellence? Follow these 3 best practices from Oracle. https://lnkd.in/eEYHFvu7 #CustomerSuccess #AI #GenAI
