Data Platform ML Responsible AI 
AWS Machine Learning Blog
DECEMBER 5, 2024
As generative AI continues to drive innovation across industries and our daily lives, the need for responsible AI has become increasingly important. At AWS, we believe the long-term success of AI depends on the ability to inspire trust among users, customers, and society.
IBM Journey to AI blog
DECEMBER 20, 2023
Machine learning (ML) technologies can drive decision-making in virtually all industries, from healthcare to human resources to finance and in myriad use cases, like computer vision , large language models (LLMs), speech recognition, self-driving cars and more. However, the growing influence of ML isn’t without complications.
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ODSC - Open Data Science
MARCH 12, 2025
The next wave of advancements, including fine-tuned LLMs and multimodal AI, has enabled creative applications in content creation, coding assistance, and conversational agents. However, with this growth came concerns around misinformation, ethical AI usage, and data privacy, fueling discussions around responsible AI deployment.
IBM Journey to AI blog
JANUARY 10, 2024
AI operates on three fundamental components: data, algorithms and computing power. Data: AI systems learn and make decisions based on data, and they require large quantities of data to train effectively, especially in the case of machine learning (ML) models.
IBM Journey to AI blog
JULY 30, 2024
Organizations in which AI developers or software engineers are involved in the stage of developing AI use cases are much more likely to reach mature levels of AI implementation. Data Scientists and AI experts: Historically we have seen Data Scientists build and choose traditional ML models for their use cases.
Marktechpost
MARCH 12, 2024
When building machine learning (ML) models using preexisting datasets, experts in the field must first familiarize themselves with the data, decipher its structure, and determine which subset to use as features. So much so that a basic barrier, the great range of data formats, is slowing advancement in ML.
AWS Machine Learning Blog
JULY 29, 2024
SageMaker endpoints can be registered with Salesforce Data Cloud to activate predictions in Salesforce. Requests and responses between Salesforce and Amazon Bedrock pass through the Einstein Trust Layer , which promotes responsible AI use across Salesforce. Follow him on LinkedIn.
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