Why data and AI

Data is what fuels digital transformation, AI unlocks the value of that data, and hybrid multicloud is the platform to democratize the data. Leading businesses are investing in AI and multicloud to unleash the value of their data in new ways, enabling them to:

  • Predict and shape future outcomes
  • Empower people to do higher-value work
  • Create intelligent workflows that automate decisions and experiences
  • Reimagine highly personalized business models

AI is the defining transformation technology of our time. Yet, successful adoption remains challenging. The reality is that AI is not magic. In order to turn AI aspirations into outcomes, organizations must first address three major AI challenges.

Data

The lifeblood of AI, but complexity slows progress.

Talent

AI skills are rare and in high demand.

Trust

There’s skepticism of AI systems and processes.

Industry trends

Banking

Deliver personal and empathetic customer service attuned to an individual’s preferences.

Manufacturing

AI helps optimize production processes and act to balance quality, cost and throughput.

Retail and consumer products

Use AI to transform the customer experience and delight at every touchpoint.

Client stories

Siemens AG

Reducing carbon output is important to the workforce culture at Siemens. Using AI, the team created a CO2-friendly travel advisor to lead the way to a zero-carbon future.

Sonoma County

Learn how collecting and organizing client data helped the county break down information barriers and provide improved delivery of citizen services.

James Fisher & Sons, plc

Undersea cables sustain offshore windfarms. With data they can be visualized, with AI their maintenance predicted. The result: optimize renewable energy output.

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