AI strategy
Recent leaps in generative artificial intelligence (AI) capabilities promise to create transformative organizational value, but only if there is a seamless integration with organizational strategy, data strategy, and AI strategy.
Why It Matters
Unlock competitive advantage.
Without vision and a clear purpose, an AI business strategy will be unfocused and likely unsuccessful. But with the implementation of a solid data and technology foundation and the right people and processes for deployment, organizations can scale value, differentiate through personalization, and optimize resources.
![AI Header 2](https://images.ctfassets.net/76f8cs5bg9si/6vdHwsxxVpYMHKU99TN0Uz/f439dc3613f361c088a184f9b8d2bcf6/AI_Header_2.jpeg?w=800&h=534&fl=progressive&q=90&fm=jpg)
Scale value
Proprietary data is the perfect medium to create impact and value at scale, and new AI products and services are the tools to get there. Without a clear strategy, resources can be wasted, and organizational trust is eroded—all while losing competitive ground.
Brand differentiation
Consumers are demanding personalization from brands. We believe that brands that can meet the need with dynamic and intelligent experiences will elevate and differentiate themselves. A well-designed AI strategy harnesses the power of personalization and puts it to work for organizations.
of consumers are more likely to buy from a brand that provides personalized experiences.
Resource optimization
AI is touted as a tool to automate and optimize tasks, but what is often overlooked is the real value created when critical human resources are freed up to focus on new and innovative projects. With this strategy, productivity is increased on current tasks while launching new ones to drive the business forward.
of businesses expect AI to increase productivity.
![Technology Tangents | Organizing intelligence: Reshaping organizations in the age of AI](https://images.ctfassets.net/76f8cs5bg9si/6kjouVSRv4h9EjkdEK6y5g/f629ff1b41f9cbcfe924367c93c15881/1200x630px_Technnology_Tangents_US_only_blog__2_.png?w=600&h=315&q=90&fm=png)
Technology Tangents | Organizing intelligence: Reshaping organizations in...
In this episode of our Technology Tangents podcast, Vincent Yates and Jason Goth explore the profound influence of artificial intelligence on the very structure and design of modern...
How We Can Help
Experience the difference.
When it comes to AI strategy consulting, we support our clients with deep technical expertise alongside change and strategy experience. This enables a range of client stakeholders to understand and buy into AI across an organization, ensuring the right AI strategy is adopted and the change that comes along with it sticks.
At Credera, one of our core values is excellence, which allows us to be at the leading edge of technological advancements. We call this the Credera Difference, and we invite you to hear directly from some of our clients about their experiences working with us.
Explore how Credera and Triumph Business Capital improve customer experience and streamline operations with a customer platform.
See how Credera and a global investment bank leveraged alternative data at scale through web scraping and AI.
In our experience, we do not see one consistent problem that must be solved when it comes to AI, but rather a whole myriad of challenges that end up stymying progress within organizations. Our desire is to help organizations avoid the mistakes we have seen and take advantage of the transformative potential of AI.
Vincent Yates
Global Chief Data Scientist, Credera
Offerings
Explore our offerings.
Our teams of data scientists, engineers, and strategists work together to unlock value for your organization.
AI business strategy
Business transformation for an AI-powered future that envisions how people, process, and technology all work in harmony to achieve your organization’s vision.
Monetization strategy
Monetize your data through AI with workshops, business cases, and roadmap development.
Responsible AI
Ensure security, governance, and bias management practices are embedded into AI wisely to manage the risk of AI adoption.
AI reference architecture
Adopt an architectural design that accommodates current and future needs with cloud computing, distributed systems, and data expertise.
Our Experts
Leaders across industry and expertise.
At Credera, we believe that unique perspectives and backgrounds make us better, stronger, and faster. Meet our leaders in this space who are creating a better environment to work, grow, and deliver outstanding client experiences.
Contact Us
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