Sponsored Content
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AI at the Edge – Fulfilling the Promise
The ability to deliver inference anywhere is essential for successfully using AI across the organization. A recent Evans Data study found 1.4X more inference demand is projected outside data centers vs. in. As a result, AI strategies based on a hybrid (cloud and edge) infrastructure strategy will be the preferred approach.
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Master these skills to get the right data scientist role
Data science offers many professional opportunities. Balance education and experience to present yourself as an adaptable and ...
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Best practices for using simulation models in business
Simulation models provide businesses with a framework for forecasting and strategy through tested practices in finance, ...
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Experiment boldly, measure closely: A CIO's GenAI playbook
Samsara CIO Stephen Franchetti shares how a venture capital-like mindset and AI champion network have helped his organization ...
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How executives can counter AI impersonation
AI deepfakes are driving financial fraud and targeting executives, forcing organizations to rethink verification, training and ...
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Snowflake delivers slew of AI tools, introduces new ones
The newly released tools simplify access to enterprise data and enable deeper analysis through natural language to address ...
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New Databricks tools target successful agentic AI development
With enterprises struggling to build agents, new Agent Bricks features address accuracy and governance to help move development ...
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6 process mining steps for CIOs, IT leaders
Process mining is particularly relevant for CIOs and IT leaders in the context of ongoing digital transformation initiatives. ...
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AI could save manufacturing from the baby boomer exodus
In this podcast, Allie CEO Alex Sandoval explains why training AI for factory jobs can reduce labor shortages, attract young ...