AI Collaborator Launches AI-Agility Index Assessment with Global Partner, Digitopia
AI Collaborator, the industry leader in empowering data-driven firms with the AI Agility they need for business transformation, today announces the launch of its AI-Agility Assessment Index™ in partnership with Digitopia, a leader in impact assessment
AI Collaborator, the industry leader in empowering data-driven firms with the AI Agility they need for business transformation, today announces the launch of its AI-Agility Assessment Index™ in partnership with Digitopia, a leader in impact assessment.
What’s measured gets done. AI Agility is an organization’s ability to quickly adapt to meet internal AI capacity demands of its business priorities. The AI Agility Assessment Index™ is a diagnostic service for measuring and benchmarking your AI Agility to understand where you are, how you compare against your peers, and what you must do to improve your situation.
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“In today’s business environment, intense competition is being waged for AI resources as more businesses seek to become more flexible, adaptable, and innovative in the face of uncertainty and adversity,” says AI Collaborator’s CEO and Founder, James Briggs. “As a result, AI technologies and talents are often now considered mission-critical resources for business continuity and digital transformation efforts. For success in this climate, enterprise technology leaders must shift their investment strategies to focus on creatively building organizational AI capacity to adapt and achieve business priorities. We are giving managers the tools they need to assess where they stand compared to their peers.”
“The partnership with AI Collaborator is extremely valuable not just for our respective organizations, but also for all enterprise AI buyers, ” says Digitopia CEO, Halil Aksu. “AI is the hottest topic in the technology world. Quantifying AI Agility is genius, and a collaborative ecosystem approach promises enormous benefits. The AI-Agility Assessment Index™ will help companies understand where they are, how they perform, and what they need to improve. Potentially accelerating their AI journeys while also helping them maximize the returns on their investment in AI.”
