Rackspace Technology, a leading end-to-end multicloud technology services company, produces a regular quarterly survey of over 1,400 global IT and non-IT executives. The survey’s focus shifts from quarter to quarter, touching on a variety of topics aligned with the core businesses at Rackspace Technology, including artificial intelligence and machine learning, application development, cybersecurity, cloud adoption, digital transformation, and more. When Stanton began working with Rackspace Technology, we sought to extend the reach of their proprietary research, breaking out of technology trade media and into the numerous Rackspace Technology vertical sectors that the business touches.
Stanton analyzed the coverage Rackspace Technology had secured from previous survey data results and determined that while the survey results had garnered attention in technology trade media, an interesting route Rackspace Technology had not yet explored was breaking the survey into sector-specific findings. Given the breadth of the research and its sizable respondent base, the Stanton team was able to create targeted outreach campaigns and provide key media outlets with highly relevant and targeted insights. Sectors targeted included financial services, government, manufacturing, retail, and healthcare.
The strategy Stanton rolled out has enabled Rackspace Technology to break into trade media across multiple sectors and directly reach key influencers and business decision makers in priority industries. Given the success of the program, Stanton is playing an active role in positioning, shaping, and developing future research to maximize its media impact.
Rackspace survey finds rise in AI use for predictive models
Research by global multicloud computing company Rackspace Technologies has found that artificial intelligence (AI) and machine learning (ML) have emerged as key technologies during the pandemic, particularly to help healthcare providers improve predictive models.
Rackspace surveyed 1,870 IT leaders in a range of sectors including manufacturing, finance, retail, government and healthcare, across the Americas, Europe, Asia and the Middle East. Respondents were asked about AI and machine learning usage within their organisation, along with benefits, impacts and what future plans they have.
Among the findings, a third (32%) of healthcare IT professionals said they plan to use AI/ML for data analytics, to predict risk (27%), and to to predict business performance (27%).
CSA Exclusive: Retailers see value in AI for customer relationships
New data indicates retailers are more likely to utilize artificial intelligence (AI) technology to engage customers than employees.
According to results of a January 2021 survey of 1,870 IT decision-makers released exclusively to Chain Store Age by multi-cloud technology services company Rackspace Technologies, almost half (48%) of retail respondents gained more traction than other industries in managing customer relationships using AI and machine learning (ML).
Revenue, marketing execs trail C-suite in grasping technology upside
Company leadership is sold on the value of customer experience in the organization. But when it comes to connecting the dots between technology and the bottom line, there’s room for improvement.
Getting a technologist to sit at the table anytime business discussions are taking place expands tech awareness throughout the C-suite, said Jeff DeVerter, chief technology evangelist at Rackspace Technology. Technologists “can speak to solutions” that address business challenges or opportunities at play, said DeVerter.
