Collibra
AUGUST 14, 2023
It should clearly define the problem that the AI model solves, the data used to train the model, the desired outcomes, and the personas involved. If you’re in financial services, maybe you’re considering how to incorporate AI into fraud detection, or personalized customer service, denial explanations or financial reporting.
IBM Big Data Hub
SEPTEMBER 27, 2022
Whether it be financial services, employee hiring, customer service management or healthcare administration, AI is increasingly powering critical workflows across all industries. We believe that data policies should be fair and equitable and prioritize openness. Today AI permeates every aspect of business function.
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IBM Big Data Hub
APRIL 18, 2024
Achieving these feats is accomplished through a combination of sophisticated algorithms, natural language processing (NLP) and computer science principles. LLMs like ChatGPT are trained on massive amounts of text data, allowing them to recognize patterns and statistical relationships within language.
IBM Big Data Hub
OCTOBER 20, 2023
AI platforms offer a wide range of capabilities that can help organizations streamline operations, make data-driven decisions, deploy AI applications effectively and achieve competitive advantages. Visual modeling: Combine visual data science with open source libraries and notebook-based interfaces on a unified data and AI studio.
IBM Big Data Hub
FEBRUARY 8, 2023
This necessitates the detection of bias during data acquisition, building, training, deploying and monitoring models. Organizations in highly regulated markets such as healthcare, government and financial services have additional challenges in meeting industry regulations around data and models.
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