4. The ongoing democratization of AI and its widespread access

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As proposed AI regulations , such as Europe's "AI Act," move forward, AI companies will need to justify the tools they create and what they do, as well as the materials they use, the energy they consume, and the safety and compliance guarantees they put in place to protect consumers.

Enterprises typically have huge amounts of data that need to be processed but lack the resources to handle complex data in multiple formats.

Additionally, with widespread talent shortages and skills gaps, many companies do not have sufficient skilled personnel to collect, interpret, analyze, and apply business intelligence and data to operational processes across the organization.

To combat this problem, many companies are building austria mobile database investing in low-code/no-code technologies, including user-friendly AI tools that can sift through and interpret large volumes of structured, unstructured, and semi-structured data. These new tools are becoming increasingly important for democratizing business intelligence, decision making, and data analysis.

Companies like DataRobot, H2O.ai, Sisu Data, Tellius, and others are now developing AI-powered analytics and decision-making solutions that lower the barrier to entry for non-data scientists. These solutions help organizations expand their data analytics capabilities and help new users better understand and contextualize business data.