Artificial Intelligence (AI) is changing everything in the enterprise. Business models continue to face disruption as intelligent technologies and proactive automation leads us into a new era of digital transformation. This trend is expected to rapidly escalate, as Gartner estimates that by 2021, 40% of new enterprise applications implemented by service providers will include AI technologies. Additionally, a recent survey showed that 59% of organizations are currently gathering information to build their AI strategies, while the others are already beginning to pilot or adopt AI initiatives into their current solutions. Needless to say, AI is the future of enterprise digital services.
However, despite the fervor in the public consciousness surrounding AI’s future potential, many organizations remain skeptical of its current iteration. Like any new digital or technological trends that reach the plateau of their hype cycle inevitably bring forth a bevy of startups and vendors looking to get in early on the action. This race-to-market approach often muddies the waters in terms differentiation, real-world value, and adds additional layers of complexity and risk when choosing a solution.
One of the key issues is that of the many vendors that hype their so-called “AI” solutions, many may not be so forthcoming with how it actually works nor its underlying framework (for example, does it use machine learning or deep learning?). They may also lack use cases or provide a tangible ROI for how their solution will work post-implementation. For these reasons, many organizations remain apprehensive of AI’s effectiveness in the immediate future, despite obvious benefits that will prove valuable in the long run.
Gartner recommends decision-makers take a proactive approach when evaluating AI-capable solutions from their prospective tool vendors. Learn more about the right methods to take in the Gartner report “Questions to Ask Vendors That Say They Have 'Artificial Intelligence.’”
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