The Industrialization of AI

whitePaper | January 18, 2020

As organizations adopt digital transformation strategies to prepare for the future, a core idea for how to accelerate that transformation is the adoption of AI. While most organizations fundamentally believe in the promise of AI, they are still only just beginning to use it. Only 1 in 5.5 organizations are deeply committed to AI, while more than half are experimenting or beginning to see it around their organization.

whitePaper | August 11, 2020

Today, customer experience (CX) is about so much more than straight-up service, polite cashiers, hold times, or the number of business days it takes for a product to arrive in the mail. CX involves feelings, emotions, and encompasses your customers’ entire journey - from the moment they step foot in a store or visit a website until the moment they purchase from you again, tweet a positive shout out, or, on the flip side, reach out with an issue.

whitePaper | November 24, 2022

High-profile examples of harm associated with algorithm failure and misuse have garnered significant public concern (e.g. manipulation of the democratic process, discriminatory practice in criminal justice sentencing, and bias against racial and gender categories in the labour market). The field of AI ethics refers to the literature and to the community of people interested in this space. One high-profile manifestation of this is the formation of specialist ethics councils and teams to deliberate on conundrums regarding the use, access and openness of platforms and technologies (such as social media and messaging apps, etc.). For instance, the banning of particular public figures as well as lay users for use of the services in a manner that is not acceptable has been a constant theme in the public debate.

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.

whitePaper | April 16, 2020

The Iron Triangle or, as it is more commonly known, the project management triangle has influenced project teams for years. Summed up as “fast, good, or cheap.pick two,” the concept asserts that there are firm boundaries on what is possible to produce. The triangle metaphor implies there is no way to provide goods or services that are simultaneously on budget, on time, and of high quality because of the competing nature of these priorities.

whitePaper | October 18, 2022

If you have worked in lending for even just the past year, you have already experienced its cyclical nature. Take mortgage lending, for example. Less than a year ago, the main problem facing mortgage originators was how to process high volumes of applications while still observing regulatory compliance and conformance to underwriting policies.