Accelerate your journey to AI
Take a prescriptive approach to making your data ready for an AI and multicloud world
Take a prescriptive approach to making your data ready for an AI and multicloud world
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:
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.
The lifeblood of AI, but complexity slows progress.
AI skills are rare and in high demand.
There’s skepticism of AI systems and processes.
Make your data ready for an AI and multicloud world
Make your data simple and accessible
Create a business-ready analytics foundation
Build and scale AI with trust and transparency
Operationalize AI throughout your business
Deliver personal and empathetic customer service attuned to an individual’s preferences.
AI helps optimize production processes and act to balance quality, cost and throughput.
Use AI to transform the customer experience and delight at every touchpoint.
Daimler has integrated AI into multiple levels of the automotive company’s business. The “Ask Mercedes” customer service chatbot has replaced about 60,000 phone calls per year.
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.
Learn how collecting and organizing client data helped the county break down information barriers and provide improved delivery of citizen services.
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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