Accelerate your journey to AI
Take a prescriptive approach to making your data ready for an AI and multicloud world
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.
Common 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.
Forrester Research reports how leaders overcome obstacles to scale AI.
The AI Ladder
Modernize
Make your data ready for an AI and multicloud world
Collect
Make your data simple and accessible
Organize
Create a business-ready analytics foundation
Analyze
Build and scale AI with trust and transparency
Infuse
Operationalize AI throughout your business
Learn how the AI Ladder can help you modernize your information architecture.
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
Mercedes reimagined the car owner experience
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.
Daimler + IBM: Using Watson Assistant to advance the customer experience and beyond
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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