Now is the time to modernize your IT infrastructure

whitePaper | October 3, 2022

Contact center associates deal with complex incall tasks, across multiple systems. High staff turnover is common, and training up new staff can take weeks or even months. These challenges can quickly begin to affect engagement, performance and KPIs. With a cohesive digital strategy, your Digital Workforce has instant access to all customer information from one system, meeting the customer’s expectation of immediacy.

whitePaper | June 22, 2022

Artificial intelligence (AI) and machine learning have revolutionized how organizations are using their data. Automated machine learning (AutoML) facilitates and improves the endto-end data science process. This process includes everything from preprocessing and cleaning the data, selecting and engineering appropriate features, tuning and optimizing the model, analyzing results, explaining and documenting the model, and of course, deploying it into production.

whitePaper | August 30, 2022

Traditional database management systems have become more essential than ever, as data volume, velocity, and variety all increase at breakneck speed. But the harsh truth is that legacy database management systems were never designed for a digital-first business climate shaped by such factors as cloud computing, pervasive mobility, microservices, new data sources, and cloud-native application development.

whitePaper | August 14, 2020

As consumers and customers, we are accustomed to easy, intuitive and superfast transactions driven by data. Therefore, businesses have the various challenges of managing and mining the data they produce and use, but also ensuring that their digital experience is 100% reliable for their customers — so the chain of trust is never broken.

whitePaper | August 31, 2022

Artificial intelligence and machine learning analyses are driving critical decisions impacting our lives and the economic structure of our society. These complex analytical techniques—powered by sophisticated math, computational power, and often vast amounts of data—are deployed in a variety of critical applications, from making healthcare decisions to evaluating job applications to informing parole and probation decisions to determining eligibility and pricing for insurance and other financial services.

whitePaper | November 17, 2022

Artificial intelligence (AI) has many applications and can help legal teams streamline processes, increase productivity, and reduce costs. But you can’t realize those benefits if your team is unsure – and maybe even a little reluctant – of how AI can support their work.