AI enables dynamic generation of reports, visualizations, and insights.
Ask questions with natural language, empowering end-users and democratizing your data.
AI provides the means for data vigilance, monitoring your data continually and alerting you to critical information.
As organizations first start exploring AI, they tend to see it as a technology solution. This is partly to do with how AI is most commonly being sold and to pitched to the market. This means they often start by asking “Which AI is right for me?”
However, AI is a rapidly evolving field of study and innovation. Not only will today’s best solutions likely be outdated in a short time, but how we use AI is a growing as we understand best practices.
Finally, integrating AI into your business requires changes in processes, approach, and user behavior. AI is a tool, and just like any tool, requires education and experience to use it well.
To truly unlock its potential, AI needs to be seen as an ongoing business function, similar to HR, IT, or accounting. Just like employees require continuous training, AI models benefit from constant learning through new data, performance monitoring, and algorithm refinement.
Furthermore, integrating AI effectively requires a dedicated team with expertise in data science, model development, and change management.
AI needs a human oversight and clear governance structure. If you view AI as a business function, you will be equipped to leverage the best AI as it continues to grow and evolve.
Microsoft Fabric and Co-Pilot AI is an end-to-end analytics and data platform that unifies various technologies, including Azure Data Factory, Azure Synapse Analytics, and Power BI.
Databricks combines generative AI with the unification benefits of a lake house architecture. This allows it to power a Data Intelligence Engine that understands the unique semantics of your data.
Salesforce Einstein is an AI platform integrated into Salesforce’s suite of business solutions. It offers features like lead conversion prediction, chatbots for customer service, and personalized product recommendations.
Google Cloud’s AI Platform simplifies the end-to-end machine learning workflow, allowing developers to build, train, and deploy models efficiently.
AWS provides a wide range of AI services, including machine learning, natural language processing, and computer vision, which can be easily integrated into applications.
Our data-driven approach to AI, along with our experience, expertise, partnerships, and proven methodology for AI adoption will drive innovation and continued transformation
AI Development
AI Proof-of-Concepts
AI Discovery & Education
AI Centers of Excellence
AI Discovery and Strategy
AI Service Disciplines focused on outcomes
AI Evolution Framework
AI is Transformative but Misrepresented.
AI isn’t just tech, but a new business function
A classic data foundation is necessary for AI
Microsoft Fabric
Databricks
Salesforce
Google AI
AWS
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