The number of job openings for data scientists is steadily on the rise, with IBM predicting a 93% growth rate in data science skills, followed by 56% predicted growth for machine learning skills. Without question, artificial intelligence experts, machine learning developers and data scientists are in high demand, and as that demand rises, the number of qualified candidates to fill open roles will dwindle.
In fact, according to the 2018 State of the CIO report, 36% of respondents cited difficulty filling roles for business intelligence and data analytics. AI roles also made the top 10. Rather than hiring new employees, many organizations are instead looking to reskill existing staff to prepare them for the roles needed to achieve digital transformation.
Let’s take a look at how some companies across various industries are preparing their existing personnel for the AI era of tomorrow.
Back to School
There is no shortage of formal training programs available at higher education institutions across the globe where those interested in gaining expertise in the way of AI, machine learning and data science can pursue their professional development. The most advanced training typically takes anywhere between a year to a year and a half to complete. It also requires basic programming skills and a solid understanding of programming. There are also a variety of online courses and programs to consider.
Forward thinking companies looking to transform their existing workforce can offer tuition reimbursement and flexible work schedules in order to encourage employees to go back to school. The promise of a newer, better role at a higher pay grade can also be great incentive.
Formal In-House Training
Another way organizations are getting existing employees prepared for digital transformation is to create in-house training centers. These will often include test environments in which trainees can experiment with AI and other disruptive technologies. As employees learn and skills are mastered, the training can then be extended to other teams and departments, including the C-suite.
For those companies that don’t have the capacity to create learning centers, availing themselves of vendor-provided training can be the next best thing. For instance, Ayehu offers a free Customer Success Program as well as free Webinars each month aimed at accelerated training of various AI and machine learning applications.
Peer-to-Peer, On-the-Job Training
As companies begin to build up a pipeline of skilled internal talent, they can then begin investing in peer-to-peer mentoring opportunities to further spread knowledge and education. For instance, a department might attend a starter course to familiarize themselves with the concepts of AI, machine learning, etc. and then transition to a mentoring strategy thereafter.
This approach begins by incrementally exposing employees to smaller areas where the use of disruptive technologies can have a large-scale impact. Once comfortable, they can then move toward improving workflows and tackling other, more complex projects – all under the supervision of experience mentors. Many business leaders utilizing this approach feel that it’s much more effective and that employees learn, absorb and build upon critical skills much faster than they would in a traditional classroom setting.
Keeping Pace with Change
The challenge of reskilling to facilitate digital transformation is that technology is evolving at an incredible rate. Keeping pace with the rate of innovation is the key to success. That means developing and fostering new skills on an ongoing basis.
To address this, some organizations invest in regular educational sessions and AI-related training held either ad hoc or at specified intervals. Access to routinely updated educational resources, like online tutorials, onsite training and industry/sector conferences is another option. The thing to remember is that, given the rapid rate of change, you simply cannot overeducate your employees.
With a staffing shortage that’s growing by the day, business leaders must compensate by reskilling existing employees. Otherwise, they risk losing ground in the race to digital transformation.
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