Innovations in the field of artificial intelligence (AI) continue to reshape the way people work, businesses operate, and consumers behave. In fact, no industry has been untouched by AI’s transformative powers. Retailers are using AI-driven bots to deliver hyper-personalized customer experiences. Financial services companies rely on AI-supported platforms to anticipate emerging market trends. And manufacturers are turning to sophisticated algorithms to accelerate product development.
But realizing AI’s competitive advantages requires a solid AI foundation. Traditional IT infrastructure wasn’t designed to handle the high-performance computing demands of AI and machine learning workloads. More specifically, data must be clean, consistent, and accurate for reliable AI output. Yet many organizations ignore the underlying data requirements of AI, putting themselves at risk of trailing the competition.
