Build skills to enable machine learning
Leaders seeking to implement machine learning in the enterprise, and glean real business value from this area of artificial intelligence (AI), are confronting the reality of a skills gap: There’s a shortage of qualified talent. According to an Accenture survey on the future workforce, 67% of workers consider it important to develop their own skills to work with intelligent machines. Yet only 3% of business leaders are planning significant increases in their training and re-skilling programs to meet the skills challenge posed by AI.
Many businesses bridge the machine learning skills gap by acquiring expertise from outside the company — through new hires, partnerships, or acquisitions. But they overlook a more obvious answer: upskilling their current workforce.
Upskilling is essential to preparing a workforce for machine learning’s continued march into the mainstream. Download the guide to discover how to:
- Bridge the skills gap by upskilling your current workforce
- Create a framework for getting it done
- Launch and maintain a training program
