The Future of AI in the Enterprise
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Artificial Intelligence (AI) has grown into a mainstream enterprise technology. Adoption of AI has increased by 270% in the past four years, with many enterprises leveraging a subset of AI called machine learning. Enterprises are using the technology for everything from bots to virtual assistants to software that automates workflows and decision-making.
Although AI is delivering returns for early adopters, most enterprises have not leveraged this solution yet. A 2019 poll found that 61% of companies are either not prepared or will never be prepared for AI. Many technology and business professionals fear that they are falling behind more agile and automated competitors. Common challenges for AI adoption include hiring the right talent for the technology, pressure from c-level to change and lingering cultural hang-ups.
Beyond the organizational challenges, the success or failure of AI implementation rests with data. Failure to conduct proper data management is what sometimes holds an organization back from their AI dreams. Throw in the regulatory uncertainty with the technology, and some enterprises need guidance to overcome these problems and realize the benefits of AI.
Download this report to learn:
- Current use cases and future scenarios of AI in the enterprise
- The secret to developing an AI-driven enterprise that is built on success
- The importance of having robust data management and centralized data lakes.
This report originally appeared on Enterprise Digitalization.
