Data Platform ETL Generative AI 
IBM Journey to AI blog
OCTOBER 22, 2024
Data is the differentiator as business leaders look to utilize their competitive edge as they implement generative AI (gen AI). Leaders feel the pressure to infuse their processes with artificial intelligence (AI) and are looking for ways to harness the insights in their data platforms to fuel this movement.
AWS Machine Learning Blog
MARCH 5, 2025
Generative AI question-answering applications are pushing the boundaries of enterprise productivity. These assistants can be powered by various backend architectures including Retrieval Augmented Generation (RAG), agentic workflows, fine-tuned large language models (LLMs), or a combination of these techniques.
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AI News
SEPTEMBER 26, 2023
Tools like Predictions put marketers at the centre of this new era of AI which is transforming how companies engage and retain their customers.” – Chris Koehler, CMO at Box. AN: What other emerging AI trends should people be keeping an eye on? Here are four trends in AI personalisation. With Segment, you choose where you start.
AWS Machine Learning Blog
JUNE 18, 2024
This post presents a solution that uses a generative artificial intelligence (AI) to standardize air quality data from low-cost sensors in Africa, specifically addressing the air quality data integration problem of low-cost sensors. She holds 30+ patents and has co-authored 100+ journal/conference papers.
ODSC - Open Data Science
MARCH 12, 2025
AI engineering extended this by integrating AI systems more deeply into software engineering pipelines, making it a crucial field as AI applications became more sophisticated and embedded in real-world systems. 20212022: Transformer-based models took center stage, with GPT-3 driving conversations around text generation.
IBM Journey to AI blog
JULY 17, 2023
is our enterprise-ready next-generation studio for AI builders, bringing together traditional machine learning (ML) and new generative AI capabilities powered by foundation models. With watsonx.ai, businesses can effectively train, validate, tune and deploy AI models with confidence and at scale across their enterprise.
IBM Journey to AI blog
JULY 3, 2024
By 2026, over 80% of enterprises will deploy AI APIs or generative AI applications. AI models and the data on which they’re trained and fine-tuned can elevate applications from generic to impactful, offering tangible value to customers and businesses.
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