Latest IDG Research Explores Artificial Intelligence & Machine Learning Trends Amid the Pandemic
Research to be released at CIO’s September virtual event: The New Business Process Mandate: AI & Automation
IDG Communications, Inc. – the world’s leading tech media, data, and marketing services company – shares a glimpse into organizational Artificial Intelligence (AI)/Machine Learning (ML) initiatives from the results of a recent IDG MarketPulse survey. The senior level IT executive respondents all noted that their organization is either currently or interested in adopting AI/ML technology. The research reveals organizations’ current activity around AI/ML – whether these technologies are in production or being actively researched, how these technologies will be deployed, and the challenges that are associated with the adoption. The full study will be shared in a moderated conversation during CIO’s virtual event “The New Business Process Mandate: AI & Automation” being held September 15, 16 & 17th.
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AI/ML Adoption Plans
As IT and business leaders have learned that their organizations need to be prepared for anything due to the pandemic, it has become clear that AI/ML is a business necessity for agility. These tools have the ability to process information at a higher speed than humans, and perhaps with fewer errors due to the algorithms put in place. This allows IT and business leaders to quickly understand their problem and ultimately execute a plan faster. Looking at the activity around AI/ML adoption based on this study, the majority of organizations are in the researching and piloting stages (57%). However, a solid percentage already have this technology in place either enterprise wide or within a business unit/division (42%).
Deployments Around AI/ML
Many organizations are relying on their tech team to bring AI/ML projects to fruition. Close to 1/3 (32%) say that their organization will use their own development resources to build AI/ML solutions in the public cloud, followed by those that say they will use their own development resources to build AI/ML solutions in-house. Organizations are embracing AI/ML applications for a wide variety of initiatives, including social media sentiment analysis, automation of clerical tasks (RPA), automation of IT tasks, and predictive analytics.
“The reason AI and machine learning are so exciting is that they can be applied across almost all of computing – to reduce the drudgery of rote tasks and to offer new functionality that would be impossible otherwise,” says Eric Knorr, Editor in Chief, IDG Communications, Inc. “Businesses are finally realizing that these technologies have little to do with human intelligence in our current era and a whole lot to do with recognizing patterns in data, which has enormous potential to increase the speed of decision-making and innovation.”
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Challenges Associated with AI/ML
When asked about the greatest AI/ML challenges that IT leaders face, the majority said the integration and cost aspects of these solutions pose concern. While these concerns along with others may hinder some adoption plans, now is the time to set forth an AI/ML strategy. According to CIO’s Pandemic Business Impact Survey, 24% of organizations plan to hire for AI/ML skills in the next 12-18 months, which is the third most sought after skill behind cloud computing and cybersecurity.
Join the Conversation
Be one of the first to hear the full results at CIO’s virtual event “The New Business Process Mandate: AI & Automation” held September 15, 16 & 17th. This moderated conversation will take place at 3PM ET on September 16th. Not only will you have the chance to dive into the research, you will have the ability to virtually chat and connect with your peers to benchmark your AI initiatives. This virtual event covers topics ranging from the impact AI is currently having on the various industries to how to scale AI for your organization.
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