Skip to main content

Why Line of Business Drives More Digital Talent Demand

The forward-thinking CIOs and CTOs have already acknowledged that Line of Business (LoB) leaders will continue to be the primary decision-makers of new or emerging business technology selection and adoption.

That said, those who refuse to let go of the obsolete notion that 'Shadow IT' is a threat to their organization are likely to fail. There is no place for myopic thinking in a progressive enterprise's digital transformation agenda.

Digital Talent Leadership Market Development

For the past four years, the strongest demand for digital talent with artificial intelligence (AI) skills has not come from the traditional information technology (IT) department, but rather, from other business units in the organization, according to the latest worldwide market study by Gartner.

Gartner data shows that although the IT department’s need for AI talent has tripled between 2015 and 2019, the number of AI jobs posted by IT is still less than half of that stemming from other business units (see Figure 1: Total AI Jobs Posted in Top 12 Countries by GDP, July 2015 Through March 2019).


Note: The top countries are derived from the IMF 2019 ranking of countries by total GDP, excluding Italy, Spain and South Korea due to limited time-series data.

"High demand and tight labor markets have made candidates with AI skills highly competitive, but hiring techniques and strategies have not kept up," said Peter Krensky, research director at Gartner.

In a recent related Gartner market study, survey respondents ranked 'skills of staff' as the number one challenge or barrier to the adoption of AI and machine learning (ML). That's why digital talent strategy and leadership is so important to successful business outcomes.

Where is the most demand coming from within these organizations? Departments recruiting AI talent in high volumes include marketing, sales, customer service, finance, plus research and development (R&D).

What are the primary use cases that are driving demand? These business units are using AI talent for customer churn modeling, customer profitability analysis, customer segmentation, cross-sell and upsell recommendations, demand planning, and risk management.

A significant portion of AI use cases are reported from asset-centric industries supporting projects such as predictive maintenance, workflow and production optimization, quality control and supply chain optimization.

AI talent is often hired directly into these departments with clear use cases in mind so that data scientists and others can learn the intricacies of the specific business area and remain close to the deployment and consumption of their work.

Outlook for AI Talent Development and Growth

"Given the complexity, novelty, multidisciplinary nature and the potentially profound impact of AI, CIOs are well-placed to help HR in the hiring of AI talent in all business units," said Mr. Krensky.

According to the Gartner assessment, CIOs and HR leaders should rethink what skills are truly necessary for an AI-focused employee to have on Day 1, and explore candidate criteria adjacent to hiring specifications.

CIOs should also think creatively about IT’s role in governing and supporting diverse AI initiatives and the evolving teams driving this activity. And, they must willingly partner with LoB leaders that they support.

Popular posts from this blog

Software-Defined Infrastructure: The Platform of Choice

As more organizations adapt to a hybrid working model for their distributed workforce, enterprise CIOs and CTOs are tasked with delivering new productivity-enabling applications, while also seeking ways to effectively reduce IT cost, complexity, and risk. Traditional IT hardware infrastructure is evolving to more software-based solutions. The worldwide software-defined infrastructure (SDI) combined software market reached $12.17 billion during 2020 -- that's an increase of 5 percent over 2019, according to the latest market study by International Data Corporation (IDC). The market grew faster than other core IT technologies. The three technology pillars within the SDI market are: software-defined compute (53 percent of market value), software-defined storage controller (36 percent), and software-defined networking (11 percent). "Software-defined infrastructure solutions have long been popular for companies looking to eliminate cost, complexity, and risk within their data cente

Digital Identity Verification Market to Reach $16.7B

As more enterprise organizations embrace the ongoing transition to digital business transformation, CIOs and CTOs are adopting new technologies that enable the secure identification of individuals within their key stakeholder communities. A "digital identity" is a unique representation of a person. It enables individuals to prove their physical identity during transactions. Moreover, a digital identity is a set of validated digital attributes and credentials for online interactions -- similar to a person's identity within the physical world. Individuals can use a 'digital ID' to be verified through an authorized digital channel. Usually issued or regulated by a national ID scheme, a digital identity serves to identify a unique person online or offline. Digital Identity Systems Market Development Complementary to more traditional forms of identification, digital identity verification systems can enhance the authenticity, security, confidentiality, and efficiency of

Global Pandemic Accelerates the Evolution of Transportation

Given the current trends across the globe, organizations that depend upon the continued growth of personal vehicle ownership will need to consider a plan-B scenario. While some companies will be able to adapt, others may find that their traditional business model has been totally disrupted. According to the latest worldwide market study by Juniper Research, Mobility-as-a-Service (MaaS) will displace over 2.2 billion private car journeys by 2025 -- that's rising from 471 million in 2021. Juniper believes that for MaaS to enjoy widespread adoption, subscription or on-the-go packages need to offer a strong combination of transport modes along with feasible infrastructure changes, high potential for data collection and low barriers to MaaS deployments. Mobility-as-a-Service Market Development The concept of MaaS involves the provision of multi-modal end-to-end travel services through a single platform by which users can determine the best route and price according to real-time traffic