Companies increasingly consider private AI capabilities as they seek safe, secure ways to tap into artificial intelligence data and securely protect proprietary digital assets. However, businesses must consider several tech aspects when moving processes forward with private AI. This section explains how private AI allows companies to use business data securely, how specific industries are changing the game with private AI capabilities, and the ethical and sustainability questions to consider when implementing private AI infrastructure.
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Private AI Strategies and Best Practices
Search Business Analytics
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7 examples of augmented analytics in the enterprise
Augmented analytics uses machine learning, AI and natural language processing to help business users interpret complex data sets....
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With new Fabric features, Microsoft aims at AI development
New data management and analytics suite features include databases and a data catalog to enable enterprises to develop and ...
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Elon Musk, big tech ties to China raise security concerns
A U.S. senator warns U.S. tech companies that deep ties to China pose national security risks as cyberattacks rise. Time to ...
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Best project portfolio management software and tools in 2025
Project portfolio management software and tools in 2025 promote strategic management of projects and agile tactics. Read our PPM ...
Search Data Management
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Snowflake partners with Anthropic to improve AI development
The alliance aims to make it easier and faster for the data cloud vendor's customers to use the Claude line of large language ...
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Noninvasive data governance offers friendly approach
Data governance doesn't need to be a burden on employees. A noninvasive approach formalizes existing responsibilities as ...
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Cloud ERP is deployment choice for top-tier systems
Microsoft Dynamics 365 costs are highest and project duration longest of the top-tier ERP 'titans,' according to Panorama's ...
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10 advantages, disadvantages of using AI in supply chain
The disadvantages of using AI for the supply chain are the costs of the tech and employee training, difficult integrations, ...