AI Modeling AI Strategy Responsible AI 
Unite.AI
OCTOBER 20, 2023
AI models in production. Today, seven in 10 companies are experimenting with generative AI, meaning that the number of AI models in production will skyrocket over the coming years. As a result, industry discussions around responsible AI have taken on greater urgency.
IBM Journey to AI blog
JULY 16, 2024
Prioritizing trust and safety while scaling artificial intelligence (AI) with governance is paramount to realizing the full benefits of this technology. It is becoming clear that for many companies, the ability to use responsible AI as part of their business operations is key to remaining competitive.
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Unite.AI
MARCH 10, 2025
Even in a rapidly evolving sector such as Artificial Intelligence (AI), the emergence of DeepSeek has sent shock waves, compelling business leaders to reassess their AI strategies. However, achieving meaningful impact requires a structured approach to AI adoption, with a clear focus on high-value use cases.
AI News
JANUARY 21, 2025
Regional and global collaborations remain fundamental pathways to address shared challenges and opportunities, ensure equitable access to key AI capabilities, and responsibly maximise its transformative potential for a lasting value for all.
IBM Journey to AI blog
FEBRUARY 8, 2023
Gartner predicts that the market for artificial intelligence (AI) software will reach almost $134.8 Achieving Responsible AI As building and scaling AI models for your organization becomes more business critical, achieving Responsible AI (RAI) should be considered a highly relevant topic.
Unite.AI
JANUARY 1, 2025
Similarly, in the United States, regulatory oversight from bodies such as the Federal Reserve and the Consumer Financial Protection Bureau (CFPB) means banks must navigate complex privacy rules when deploying AI models. A responsible approach to AI development is paramount to fully capitalize on AI, especially for banks.
Unite.AI
OCTOBER 4, 2023
In this article, we’ll look at what AI bias is, how it impacts our society, and briefly discuss how practitioners can mitigate it to address challenges like cultural stereotypes. What is AI Bias? AI bias occurs when AI models produce discriminatory results against certain demographics.
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