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Digital Transformation Lab

An Incubator for Innovation

The IT Partners DX Lab is a collaborative ecosystem to design, build, educate, demonstrate, and deploy innovative technology products for IT Partners customers, partners, and employees.

We utilize our AWS and AZURE platforms for Pegasystems and UiPath technology solutions to perform functionality testing, and proof of concepts.

Functionality Testing

Functionality testing generally takes place in a custom sandbox our developers and engineers get hands-on access to products in an environment that reflects the major aspects of your own. So, for instance we could create an environment that had UiPath and SAP. We help our customers learn the critical components of building, troubleshooting and operating a given product based on test cases that matter to them. Functionality testing can help a customer decide whether they want or need to explore a solution more thoroughly through a formal proof of concept.

Proof of Concept

Proof of concept enable customers to evaluate the introduction of new technology, existing investments and upgrades to determine if they will positively affect their organization and achieve desired business objectives. Proofs of concept leverage infrastructure from AZURE and AWS environments

IT Partners drives Digital Transformation by bringing together the technology, platforms, and capabilities needed to help our customers thrive in the digital age. We harness the power of data and artificial intelligence, modernize core technology, and capitalize on new technology to optimize and automate operations, fuel digital growth, and build a digital culture.

We can cut your proof of concept time from months to weeks, if not days, by leveraging the our testing and automation infrastructure.

A DX technology that is continuing to gain momentum is RPA. RPA accelerates automation of high volume, repetitive tasks and bridges system and data integration gaps. But when combined with AI you can begin the journey to intelligent automation. As our customer grow their RPA programs, they will look beyond core capabilities and seek higher value opportunities. By leveraging machine learning (ML), intelligent automation (IA) programs can develop solutions for opportunities that were thought to be too complex to automate or in need of human intervention to make the predictions. With AI we can train machine learning models to make those decisions and continue the RPA automation without human interaction.

Robotic Process Automation WHITEPAPER PDF (2.7 MB)

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