In the current digital transformation landscape, many businesses are eager to harness the power and potential of artificial intelligence (AI). However, this often involves buying an off-the-shelf AI tool that promises to solve all their problems without considering how it fits into their existing infrastructure and workflows. The result is a disconnected application that adds more complexity and maintenance for the IT department while failing to deliver the expected value and impact for the business.

Rather than falling into this pattern, we should start to think about AI as a platform, not a one-size-fits-all solution.

So, what is an AI Platform?

Foundationally, a platform is a suite of capabilities that work together to enable a specific outcome or function. An AI Platform is a comprehensive suite of AI services and tools that enable the secure creation, deployment, and management of AI applications at scale.

An AI platform can be built from a number of underlying models, cognitive services, or machine learning tools. However, not all foundational technologies are created equal!

As a premier Microsoft Partner and the 2024 Microsoft Partner of the Year for Analytics, Quisitive leverages the Azure AI platform and a use-case-driven approach to AI to help organizations build secure, scalable, and flexible AI Platforms that meet each organization’s unique needs and goals while laying the foundation for future AI development.

What are the benefits of an AI Platform?

1. Customization

Building your own AI Platform allows you to tailor the environment to your specific business needs. You will also have full control over the architecture, tools, and processes, which ensures that the platform is right-sized to suit your unique use cases.

2. Competitive Differentiation

An AI Platform that is built securely in the Azure cloud will be accessible to only those within your organization, thus enabling your team to safely incorporate proprietary datasets. This ability to fine-tune your AI Platform and ingest company-specific data will create competitive advantages and cut down on time spent on manual processes, freeing up precious time for your employees to tackle other company initiatives.

Ultimately, the platform can unlock new revenue-generating opportunities (through thoughtful use case curation) and lead to increased efficiencies that could improve overall gross profit margins.

3. Security

Implementing enhanced security measures that suit your organization’s needs is at the forefront of building an AI Platform within the Azure cloud.

Also, by controlling the aspects of your AI environment, your organization can ensure that sensitive data and intellectual property are well-protected.

4. Scalability

The AI Platform will essentially function as a multi-use case incubator – Organizations can scale capabilities, explore new use cases, and incorporate different data sources as their business needs evolve over time.

5. Cost Management

Custom platforms can be fine-tuned to use resources more efficiently, which contributes to reducing operational costs over time. Azure allows organizations to start small with pay-as-you-go models, allowing them to grow into their AI Platform without having to pay massive upfront costs.

6. Collaboration

Citizen developers (Reimagine how you think of developers – think your business SMEs!) will be able to access the power of AI to unlock faster insights and gain efficiency.

Learn more about AI Platforms

Don’t gamble with your data. The future of AI relies on a solid, secure foundation.

Quisitive delivers fully operational AI Platforms tailored to your organization, ensuring robust security for both your data and applications all brought together under one user-friendly interface.

See how we build the centralized, secure AI Platform of your dreams.