Others Talk, We Listen®

With this rising tide of technology, machine learning is more available and powerful than ever. It’s the culmination of many things — the compute power of your phone, the resolution of your camera, the bandwidth of a cellular network, the availability of machine learning as a service (image identification, voice comprehension, sentiment detection, etc.). So, don't debate whether or not machine learning is available to your business or if it’s something you can use. Spend your time figuring out where to use it and how to use it, because if you don’t, someone else will.

On May 9th, Google announced ML Kit for Firebase. Aimed at ordinary developers, rather than data scientists, this release brings machine learning functionality direct to both iOS and Android devices. Six features headline the release: * Facial recognition * Barcode recognition * Image labeling * Landmark recognition * Text recognition * Custom Models Like Apple's CoreML, Google engineered ML Kit to run machine learning models on a device, not to build those models.

What makes Master Data Management (MDM) difficult to, well, master? As organizations grow larger via increases to their customer base, product offerings, and/or through mergers and acquisitions, they often lose focus in managing critical data core to their operations. They are often so laser-focused on increasing business metrics such as sales, cost reductions, and new product introductions, that data management becomes deprioritized.

At CapTech, we’ve spent a great deal of time thinking about practical AI and Voice applications for consumers, even doing tech challenges internally to experiment with these technologies; I'm going to share some of those learnings here. But first, let's define terms. For the purposes of this blog, we’ll think of Voice (sometimes referred to as Natural Language Processing) as the interface or “presentation layer” - the way the consumer interacts with the technology. AI is the brains behind it and Machine Learning is how it gets smart. For now, we’re going to get into applications of these concepts for consumers. There are seven patterns we’ve found helpful for thinking about Voice and AI, but we're going to focus on the first three basic or foundational ones here.

What are “hybrid” and “blended” agile methodologies, and what does it mean when people talk about “by-the-book” agile?

Our Customer Experience (CX) team began with a brand exploration that led to deeper insights around the true essence of the Duke’s brand – its authenticity. From the founder, Eugenia Duke, the original recipe, unique taste, classic label and volunteer celebrity chefs, Duke’s screams authenticity.

For the second year in a row, CapTech has partnered with Richmond-based, Amy’s Army of Cancer Warriors ─ a non-profit dedicated to raising awareness about cancer research and prevention ─ to provide technology support and solutions for their Climb to Conquer Cancer (C3) cycling event on September 23, 2018.

Robotics process automation (RPA), sometimes referred to as robotics or digital labor, is a type of Regulatory Technology (RegTech) that provides FIs an effective alternative. Bots, the “workforce” of RPA, are software programs that follow defined internal business rules and policies and can be trained on essentially any repeatable process. By training bots to follow standardized compliance-related processes, FIs can improve efficiency, increase throughput, and reduce errors.