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According to McKinsey and Company, AI has the potential to add $13 trillion to the global economy, but is your organization equipped to capture that value? This blog post breaks down the challenges of adopting AI in large enterprises and offers actionable solutions.

In this blog post, we discuss the two most common AI metrics: precision and recall, alongside a quick Confusion 🤔🤯 Matrix 101. We ended with questions that you should ask your team to determine which of the two metrics to prioritize.

This certification reinforces our commitment to maintaining the highest standards of security, availability, and confidentiality, ensuring that our clients' data is protected with the utmost care.

Ever wondered what Captur does? We're a visual AI company but what does that mean exactly? TL;DR: we're in the business of understanding and interpreting images using AI. Read the article to dive deeper into the subject!

By integrating AI technologies into last-mile delivery operations, companies can not only improve efficiency and reduce costs but also contribute to a more sustainable and environmentally friendly delivery ecosystem.

According to Gartner, supply chain firms are expected to witness a two-fold increase in machine automation within the next five years. AI in logistics is therefore no longer just a luxury but a necessity for boosting management capabilities and streamlining operations in enterprises and startups alike. By integrating AI at different stages of logistics operations, companies can significantly lower costs while increasing productivity, minimizing human errors, and enhancing customer satisfaction.

In the realm of data security, the integration of image processing technologies presents both opportunities and challenges. As businesses increasingly leverage visual artifical intelligence (AI) like Captur to enhance operations, teams encounter critical questions regarding compliance, data privacy, and risk management.

Captur improves visibility between cities and micromobility operators by offering real-time feedback on parking compliance through AI-guided end-of-ride photo analysis, enhancing operator-city relations and promoting responsible parking behavior.