Artificial Intelligence (AI) has become a technology that is used in our daily lives, but understanding how machine learning works is a completely different story. Typically, machine learning has been developed by people who are experts in the AI field and have access to high computing power. Microsoft has removed these barriers by providing Azure Cognitive Services. These services are available to anyone with an Azure cloud subscription and make it easy for developers to add AI features into their own applications. Today, I will be discussing Microsoft’s easy-to-use image classifier service Custom Vision.
I first came across Custom Vision while developing an application to generate fashionable outfits. The idea was to be able to upload an image of an outfit, (found on Pinterest or a fashion blog) and then have the application find similar items at a handful of websites…
Before the chaos of 2020, I was dealing with chaos in the form of application state. I was working on an Angular reporting project and we were using dynamic components powered by ChartJS and dealt with data managed in ag-grid. Very quickly I realized that state was going to be a huge issue, since a single dashboard of the application would be littered with charts that would all be filtered via slicers. Ultimately a user could click then through a chart to a grid of the underlying data; shades of a from-scratch PowerBI report or visual. I had heard of the Redux pattern and how it was a game changer for Facebook’s application state (technically FB’s pattern is FLUX, but Redux is inspired by it), so I decided to do some digging, and found that it would work great for…
Last year, our AI team was invited to learn about Microsoft’s new Healthcare Bot. The ability to quickly develop and modify this technology was incredible. The cloud-based service was built specifically using AI to empower and scale the healthcare industry with compliance top of mind, and healthcare-centric language built-in to start.
Our team was already familiar with the Microsoft Bot Framework so we signed on very quickly to become a Certified Bot Partner. We saw the opportunity to help both hospitals and out-patient clinics and offices, we even have a pre-COVID webinar, titled Enabling and Enhancing Patient Engagement in Healthcare published on our Youtube channel that highlights the basic features and benefits of this technology.
At the time, the market was a bit behind the technology. Things like concern about elderly patients interacting with a Chatbot, and fear of change.
Look at us…
Last week, the Connecticut Business & Industry Association held its annual Employment Law Conference. Tallan’s SVP of Client Delivery, Doug Smith, spoke on a panel with Dan Schwartz, a Partner at Shipman & Goodwin and author of the CT Employment Law Blog.
Rather than pose questions to the panelists, Moderator Mark Soycher opted to poll the audience, and allow Doug and Dan to provide color commentary on Artificial Intelligence & Analytics for HR: Recruiting, Retention & Engagement.
This style panel allowed for continued audience engagement for a topic many seem to shy away from. I was pleasantly surprised by some of the answers I saw, and not all that surprised by others. The first two questions created a Word Cloud, so the audience was able to visualize what their peers were thinking. The very first question asked was, “What loathed HR task or responsibility would you love…
Augmented reality (AR) is the experience of having digital information applied to real-world environments. Unlike virtual reality (VR), which replaces our environment with a virtual world, the goal of AR is to enhance how we experience the real world. To achieve this, a device with a processor must retrieve input from many sources, such as cameras, GPS systems, and accelerometers. The most prominent AR devices for consumers are mobile phones and tablets, but there are also several companies developing monitors, smart glasses, and projectors for use with AR.
The list of use cases for AR is constantly growing as more companies invest in it. Here are some of the industries that AR developers are striving to improve today.
Both brick and mortar stores and e-commerce websites can reap the benefits of AR technologies by providing customers with more information about their products….
The key to a successful provider/patient relationship in healthcare is patient engagement. Recently, hospitals and healthcare companies have expanded their efforts toward patient engagement in the form of Artificial Intelligence or AI. Chatbots are being used to improve the triage process, patient discharge planning, and follow-up.
The practice of utilizing the ER for both emergent and non-emergent conditions has become the primary driver for overcrowding and longer wait times. On average, a visit to the emergency room can take anywhere from one to three hours. In an extreme situation, that visit can last even longer. As a result, patients requiring immediate medical attention are choosing to put themselves at risk for future complications by avoiding the ER altogether. In an attempt to reduce inappropriate use of the ER, hospitals are deploying Health chatbots as a means for patients to triage or…
The key to retail success in today’s digital world is for retailers to understand where their most significant opportunity exists. Retailers need to anticipate their customers’ needs and competitors’ capabilities by adopting a digital platform. By using Artificial Intelligence (AI) in customer-facing functions, the online retail world can enhance customer satisfaction, increase time efficiency and reduce customer churn.
There are many examples of AI technologies that can aid in this effort. Visual Search can help by detecting and displaying a more tailored array of products related directly to the consumers’ aesthetic guide. Online Personalized Storefronts can improve customer satisfaction by creating a custom shopping experience for each shopper. Conversational Support can streamline the process promptly with 24/7 available support. The backbone of digital transformation is AI. No matter which journey they chose to follow, AI-powered retail experiences will become essential for…
On February 7th, 2019, Microsoft announced the availability of a new SaaS chatbot offering designed for use in the healthcare industry. They designed it to be a very fast-to-market conversational AI with built-in healthcare language models, terminology, and be compliant with security standards in the industry (HIPAA, ISO 27001, ISO 27018, CSA Gold, GDPR).
Mid-March I began my exploration into this offering and started building my first “Scenario.” Once you have created a bot, you are delivered to a new portal and are quickly presented with a showing of pre-baked templates for you to modify and make your own. At the time there were three available and four listed as coming soon.
I decided to start with the Provider Lookup scenario. Once I created the scenario, I was then taken to a well-designed CMS tool for building it. The tool displays the…
Let’s jump right back into the thick of this topic. In the first part of this blog series, we discussed why insurers should be empowering their customers to complain in fairly general terms. Check out the link to our Decision Maker’s Guide to Complaint Enablement for more background on this topic.
This post dives deeper into a few key metrics: retention rates, customer lifetime value, and quantity of feedback gathered. To do so, we’ll take a look at the financial impact of non-complainers. While you read, it may also be helpful to consider whether you are currently measuring or utilizing any data to achieve similar goals.
Before getting to specifics, here’s a quick recap of what was covered last time:
J.D. Power’s 2018 research tells us that the industry average score for providing a satisfying purchase experience is 839 out of 1,000.1
Here’s an interesting fact from a Forbes article published earlier this year, regarding end-consumers in the insurance industry:
“91% of non-complainers just leave”1
This tells us that there are two types of customers in the insurance world: complainers, and non-complainers. Among non-complainers, more than nine out of ten actively choose to take their business to another company. The insurer they leave behind must deal with the following consequences:
Loss of future revenue streams
Lack of insight into why the customer chose to leave in the first place
The significance these metrics have on bottom line revenue can’t be understated. These are customers that were already paying for a service – that had already gone through a decision-making process, chosen one insurer, and were so dismayed with some aspect of their service that they chose to begin this entire search process again.
But there’s a simple…