From Smart Features to Smarter Products: How ISVs Are Embedding AI Today

As AI adoption grows, users across industries have come to expect intelligent applications. They want innovative features, high levels of personalization and data-driven insights at their fingertips. For Independent Software Vendors (ISVs), there is a pressing need to stay ahead of the curve and differentiate their offerings.

This appetite for AI is evident in the fact that 44% of organizations are now working to embed AI into their applications and processes, according to IBM’s Global Adoption AI Index 2022.

Future-Proofing Business

And ISVs that fail to respond to this demand run the risk of being left behind, losing customers to competitors that boast more innovative features.

Embedding AI-powered experiences in their software can help ISVs future-proof their products, create innovative user experiences and drive growth, as well as streamlining software development. But this can be prohibitively expensive and resource intensive.

Having a way to quickly and efficiently embed AI capabilities into existing applications or build entirely new offerings enables ISVs to respond to these evolving customer demands.

Working with the right partner to embed AI into applications, offerings and solutions is an essential piece of the puzzle. IBM’s portfolio of embeddable AI products makes AI accessible, empowering ISVs to reap benefits even if they don’t have AI expertise in-house.

Capture New Opportunities

IBM Ecosystem Partners, including ISVs, can use the same core AI technology powering IBM products to create their own unique offerings in less time and at a reduced cost, allowing them to capture new business opportunities and bring greater value to their clients. What’s more, IBM’s Embeddable AI is backed by IBM’s enterprise-grade security, giving ISVs and their customers peace of mind.

IBM’s range of solutions have numerous potential use cases that ISVs can apply to the specific industries they serve.

For example, in healthcare AI assistants can be used to organize and access patient data to provide quick answers to healthcare queries. In finance, generative AI can enhance transaction advisory software by combining millions of news articles and alternative sources with traditional financial and market data using generative AI. And customer experience can be improved across industries by using AI assistants to handle routine queries and provide faster responses.

By partnering with IBM, ISVs can harness AI to build smarter products that solve real pain points and deliver value for customers.

CTA: Explore how IBM is helping ISVs build smarter products
https://www.ibm.com/products/watsonx-orchestrate