Be prepared for AI. Stay on top of burgeoning technologies such as AI and machine learning, while also finding use cases appropriate for your industry and organization. Among other things, business and IT leaders should follow general developments in AI and understand how these technologies are maturing in various markets. Also consider the potential for automation to create greater efficiencies and accuracy, and hone your ability to work effectively with large volumes of data.
Build a data-centric culture. Creating the necessary infrastructure will be the first step in making a data-driven future a reality. From there, take steps to understand your data and commit to bringing more of it into the light as a critical part of your business strategy. You’ll also need to put automation and AI on your IT roadmap and infuse data and analytics into strategic decision-making.
Recruit for data skills. In light of an industry-wide data skills shortage, you’ll need to step up recruitment of new data talent. That will mean creating a talent pipeline, collaborating with local colleges, and attending job fairs, tech meetups and other events. Competition is stiff for skilled, data-literate workers; to stand out from your competitors, be sure to raise your organization’s profile as a forward-thinking enterprise to both attract and retain top talent.
Provide training opportunities. It will be incumbent upon you to ensure that your existing workers get the necessary training they need to keep up with new technologies that will help transform your business. Provide opportunities to grow by partnering with online learning sites, sending staff to conferences and events, and providing tuition rebates. Encourage your workers to take charge of their own career development and professional goals, but then give them the tools to see their goals to fruition.