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AI and Cloud Infrastructure Show Greatest Jump in Investment Priorities in 2022
After a relatively slow burn in recent years, more companies are now embracing artificial intelligence (AI) capabilities and projects, as shown in our annual Technology Trends survey. In the survey, AI showed impressive gains in both adoption and investment rates, compared to our survey in 2021. This Research Byte provides a look at the AI adoption and customer experience profile, as well as an overview of our full study, Technology Trends 2022.
Avasant Digital Forum: The Rise of the Digital Workforce: Leveraging Automation for Enterprise Transformation
Automation has become a familiar tool in the enterprise environment, but it still invokes apprehensions in the organization. That is because many enterprises make mistakes during their automation efforts or don’t communicate the value to internal stakeholders. In truth, well-designed automation frees employees from the dullest part of their jobs, allowing them to be creative, strategic, and more value-added. The digital workforce of the near future will be one that works hand-in-hand (at least figuratively) with robots to create a more seamless operating environment.
AI emerges as the foundation of enterprise decision-making
Over the past 12 months, the number of artificial intelligence (AI) and advanced analytics projects in production has increased by 54%. Much of this growth is due to AI-enabled digital workplace solutions and self-services capabilities, allowing for low-touch operations needed during the pandemic. New use cases have emerged in areas such as advertising, media, and marketing where consumers now expect personalized content and communications. AI is creating a shift in how enterprises consume data and make decisions.
Self-Driving Cars and IT’s Automation Problem
Machine learning saves time and money, and it frees humans from tedious tasks. However, there is an interesting and little-discussed downside to automation—human reaction time. This research byte applies some early lessons learned with self-driving cars and applies them to the challenge of automation in the data center.