“Although organizations clearly understand the potential for real bottom-line impact with data analytics and AI, the skills gap is a clear challenge. Specifically, when ensuring the success of cloud deployments, data analytics surfaces as one of the top two in-demand skills (41%). … Compounding this, data scientists are in short supply — often commanding very high salaries and making data science unaffordable for many enterprises. Unfortunately, an organization’s lack of these crucial skills tends to manifest itself through the inability to ask the right questions and recognize the potential areas where data can help,” says Ozlem Celik-Tinmaz, North America lead for the Data Science Center of Excellence Team of Accenture Applied Intelligence.
What’s the answer to sourcing talent gaps with AI and Data Analytics? Accenture believes a few avenues exist for organizations hoping to close this gap. In this white paper, the author explains why the first approach is to undergo a strategic realignment to become a truly data-centric organization.
READ MORE from ACCENTURE
XENON GROUP IS AN ACCENTURE ALLIANCE PARTNER