GenAI: Redefining Data-Driven Transformations
A disciplined approach to data engineering is the foundation of an effective GenAI strategy, which is needed to enable data-driven transformation.
Looks at issues related to artificial intelligence technologies, including cognitive computing, deep learning, and machine learning. Considers also supervised and unsupervised learning and natural language processing.
A disciplined approach to data engineering is the foundation of an effective GenAI strategy, which is needed to enable data-driven transformation.
In this week's real-time analytics news: IBM and Microsoft separately announced efforts involving Mistral AI.
With a universal semantic layer that organizes and standardizes your data, your company is ready to embrace AI wherever it leads.
Rather than focusing on data science metrics, predictive analytics efforts must be tied to business
While GenAI will be prominent at the Gartner Data & Analytics Summit, at least half the agenda is dedicated to traditional topics covering good data management …
In this week's real-time analytics news: AWS announced two Mistral AI models to soon be available on Amazon
With AI on the edge, instead of bringing data to the algorithm, the algorithm is going to the data and enabling a whole new level of
Thoroughly exploring data with AI before a predictive model gets built is a way to be sure all the important factors in complex datasets will be
In the rapidly evolving landscape of AI, ethical considerations are not mere add-ons but integral components of responsible development. OpenAI promotes …
The challenges associated with shadow AI will likely get worse before they get better as the implementation of AI tools is occurring at a faster rate than most …