Accelerating AI Modernization with Data Infrastructure

Artificial intelligence (AI), machine learning (ML) and, often, deep learning (DL) capabilities are now essential components of digital transformation (DX) initiatives. The business opportunities that can be achieved with AI are exceptionally promising. Enterprise organizations are increasingly aware that not acting on AI could potentially be a business disaster as competitors gain a wealth of previously unavailable insights and capabilities to grow and delight their customer base. Few if any businesses today believe that “AI is not for us” or that “AI is mostly hype.” Rather, serious AI initiatives are being undertaken worldwide, across industries and across company sizes.
Businesses are seeking an AI-led transformation and modernization initiative, which involves moving from experimenting to generating business value from their AI investments. The success of business investments in AI-related digital transformation is directly tied to the breadth of expertise required to develop, implement, and maintain AI solutions at scale. Many organizations’ lines of business (LOBs), IT staff, data scientists, and developers have been working to learn about AI, understand the use cases, define an AI strategy for their business, launch initial AI initiatives, and develop and test the resulting AI applications that deliver new insights and capabilities using machine learning algorithms, especially deep learning.