Be at the Forefront of Artificial Intelligence

Our digital landscape is rapidly evolving and cognitive and AI solutions are becoming a key element in many enterprise technology portfolios. Are you keeping up?

Today, artificial intelligence plays a role in everything from driving customer service to enabling better healthcare. As the digital landscape continues to evolve, many organizations are rushing to understand the value of cognitive and artificial intelligence solutions as a part of their technology portfolio.

Our team of experts have expertise in a broad range of cognitive and AI solutions. We can help you understand the value of enterprise AI, identify use cases, create a roadmap, assist with vendor recommendations, and create a proof of concept for successful implementation and adoption.

Why Invest in AI?

AI isn’t going anywhere and will likely need to become a key component of your technology portfolio if you want to stay competitive. And many of the technologies under AI’s umbrella – machine learning (ML), natural language processing (NLP), predictive analytics – will lay a foundation to combine AI with other emerging technologies and create innovative opportunities.

Making an early investment is important too. Current predictions expect early adopters to emerge as leaders, while others fall behind. Because AI technology is constantly improving and will continue to grow exponentially, being late to the party may mean never catching up. Unlike other technology, AI requires more time to ramp up and begin implementation to see business value.

Overcome The First Obstacle

While AI adoption may come with challenges, potential adopters are often confronted with their own perception before they ever begin. The assumption is that AI implementation is a tremendous undertaking that has to be applied in an immense way. The reality is that you can start small. We can help you identify clear business use cases and then begin with smaller projects. This strategy ensures that you’re moving in the right direction and helps manage expectations before taking on larger projects.

 

Solution Expertise

  • Text and content analytics
  • Virtual agents and chatbots
  • Predictive modeling
  • Machine learning models
  • Decision support
  • Cognitive search implementations

Best Practices

We are attuned to the latest best practices to deliver successful cognitive and AI solutions, including:

  • Roadmaps to establish governance
  • Begin with small use cases for proof of concept
  • Data identification and cleansing
  • Iterate and learn to allow sufficient stabilization
  • Use a best-in-breed approach, because one size does not fit all
  • Optimize training efforts