Data leaders face increasing pressure to deliver actionable insights that drive business growth. Apart from optimizing their D&A initiative with cloud technologies, they need to accelerate the delivery of data-driven solutions to all users without compromise. Several hurdles make it difficult for them to maintain a balance between business impact and justifying ROI on data investments. The Fosfor Decision Cloud empowers data leaders to extract maximum value from their data.
Data leaders can eliminate organizational data challenges by seamlessly integrating AI, ML, and natural language capabilities into existing workflows and BI applications, eliminating the need for large-scale resources or investments in separate products over data cloud platforms.
Fosfor products are helping us solve multiple challenges like data orchestration and data management.
Fosfor is our platform of choice as it has the best integration with the Model Risk Management (MRM) system and our continuous integration and delivery platform, along with exposure to the Global Model Validation (GMV) team.
The pandemic has completely transformed the way we live life and do business. Over the last two years, we have learned how important it is to be flexible and agile in our decision-making. According to a recent survey by Gartner, "65% of respondents said the decisions they make are more complex than just two years ago, and 53% said they face more pressure to explain or justify their decisions."
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As enterprises across the globe step up AI/ML adoption rates, there is an increasing need to have mature processes for smooth AI/ML operations.
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While Artificial Intelligence (AI) systems can be highly accurate, they are imperfect. As such, they may make incorrect decisions or predictions. Several challenges need to be solved for the development and adoption of technology. One major challenge is the bias in AI systems. Bias in AI refers to the systematic differences between a model's predicted and true output. These deviations can lead to incorrect or unfair outcomes, which can seriously affect critical fields like healthcare, finance, and criminal justice.
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Artificial intelligence (AI) and machine learning (ML) technologies are expanding rapidly as organizations seek to capitalize on the value of their data. Half of the companies surveyed in a 2020 Mckinsey study have already adopted AI in at least one business function.
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