software-monetization how-to-protect-your-machine-learning-models Blog Related Topics 
IBM Big Data Hub
NOVEMBER 29, 2023
With the emergence of new advances and applications in machine learning models and artificial intelligence, including generative AI, generative adversarial networks, computer vision and transformers, many businesses are seeking to address their most pressing real-world data challenges using both types of synthetic data: structured and unstructured.
IBM Big Data Hub
NOVEMBER 15, 2023
offers intuitive tooling for powerful foundation models; watsonx.data enables compute-efficient, scalable workloads wherever data resides; and the third component, watsonx.governance , provides guardrails essential to responsible implementation. ISVs need the flexibility to choose models appropriate to their industry, domain and use case.
ARMA International
SEPTEMBER 22, 2021
Part 1 discussed the key DT business drivers, concepts, and technology trends, how they are transforming organizations and society, and how they are affecting business users and customers. This means imagining the “art of the possible” for a new future using a cloud computing model to deliver transformative change. Introduction.
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