Advances in artificial intelligence are transforming organizations in all industries to make smarter business decisions, faster and with greater confidence. However, even intelligent solutions will not succeed if employees are not motivated to use them. Among the longstanding challenges of talent acquisition and retention, organizations must strive to scale with the talent they have and build a culture driven by advanced data analytics.

Computer technologyThe latest real-world AI adoption research report, conducted in collaboration with Intel®, examines the impact of AI on today’s workplace.

Respondents to a survey of IT leaders highlighted the productivity gains derived from the implementation of artificial intelligence and how it provides fast, reliable and convenient interactions for both their customers and employees.

However, many industries lack AI maturity, with only 7 percent of respondents reporting that they have fully implemented AI in their organizations. About a third are in the trial stage, suggesting early or delayed adoption. However, 96 percent are interested in the use of artificial intelligence, indicating that there is still progress to be made in this area.

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The availability of artificial intelligence depends on sharing knowledge and developing literacy from within – while attracting the right external partners. Finding and supporting the right expertise ensures the best vision, roadmap and decision-making, and then seeing those goals born on the shop floor.

In most corporate environments, the advanced capabilities of artificial intelligence are beyond the reach of the average person. Its use is often limited to professionals who design, deploy, and train models. However, employees need to know how AI can help their roles or tasks and have the tools to use it on a daily basis. This is part of a growing push to democratize data in the enterprise space.

IT leaders must ask what new talent is needed and on what basis? What partners and external assistance should be used to facilitate this? How can we upskill and reskill our workforce?


People can be wary of AI, especially how its use might affect their role. Users will not necessarily be replaced by technology, but instead will be better supported and engaged with problems that require their special knowledge and creativity. AI must complement existing ways of working. This way, users can be more focused on their goals rather than arguing with the technology they use or getting tired of monotonous, mundane tasks.

IT leaders are beginning to push for a more data-driven decision-making culture that is increasingly powered by AI. A successful AI strategy is built on skills and talents.

To learn more about Computer technologyResearching real-world AI use cases with real-world results, read the full report.


Sponsor information – Intel

Organizations need to use artificial intelligence to extract value from data, but challenges abound. Data pre-processing, from discovery to de-bunking, to quality control and management from the edge to the cloud, is at the forefront. The right approach to modelling, from analytics to machine or deep learning, with the right technology and expertise is the following.

Intel provides a holistic and open path forward, addressing the entire pipeline of data, simulation and deployment, with the freedom to compute on the architecture that works best, including a single x86 processor with built-in AI acceleration.

This article is sponsored.

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