Takeaways from Field Service Medical

Last week I attended this annual event where there were approximately 100 field service executives from medical device companies.  The event was 2 ½ days long and included interactive sessions on everything from remote service to retaining service techs (a bigger issue than you’d think!).

From my perspective, these were the main IoT topics that dominated the event and my thoughts on them:

Continue reading “Takeaways from Field Service Medical”

ATTENTION RADIOLOGISTS: AI Is Not Going To Replace You Anytime Soon

I read this article in IoT World about connected health trends to keep an eye on for 2019. It talks about use cases for AI such as wearables, patient dashboards, surgical robots. It talks about some VS guy who a few years ago said that AI can do 80% of what doctors can do and that radiologists would be obsolete by 2022!

The overall progress of AI adoption in healthcare has been really slow. It seems to me that so many companies are trying to develop AI solutions for applications and use cases that are just too complicated or rely on an ecosystem of other technologies to make them happen.

We need to stick to the basics. No tech project or initiative will be successful unless there’s a business case to drive it. And in healthcare, the obvious business case for AI starts where IoT did: service and support.

Companies trying to deploy an IoT technology so they can remotely support their devices in the field are certainly still facing challenges today. More and more of their end users, particularly overseas, are resisting their attempts to connect to their devices on their network because of security concerns. But the business case for remote service and support still is strong.  Reducing downtime, reducing 2nd service calls, improving MTTR and FTF rates still translate right to the bottom line for OEM’s and their customers.

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How to Get Organized to Evaluate RevTwo AI

So you’re thinking about trying out RevTwo’s AI technology? We are currently working with several potential customers on proving out our technology for them and would love to work with you.

IDENTIFY KEY ISSUES

To get started, talk to your service and support teams and identify 3-5 common service/support use cases that usually result in having to send a technician onsite to resolve it.

Sometimes our customers may struggle to come up with the right issues they want to address.  One way to get your team thinking is to consider issues with one of these characteristics:

-An issue that happens often

-Something that was expensive when it happened

-Something that everyone in the organization would know about

It also doesn’t have to be something cut and dried like “the water pump failed”. Most complex issues are not that straight forward and usually have multiple root causes and symptoms. For example, it could be “my system is running slowly”.

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How is R2 AI different from other AI’s?

When we talk to customers, we are often asked how we are different from other AI solutions out there.

AI solutions have been around for a while. If you’ve ever gone to a website and needed support for a product that you purchased, when you select the chat feature, you’re talking to a chatbot, not a human. A chatbot employs AI that takes the text you’ve typed in and matches it to a knowledge base and then asks more questions until it gives you an answer. This use case is mostly used in B2C businesses.

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AI Isn’t as Hard to Implement as People Think

AI isn’t hard.  It can help you today.

I am reading more and more about how Artificial Intelligence (AI for those of you who have not been online in awhile) is going to change the world.  And soon, like the end of next year, according to this article.

But in my opinion, when people think of things like AI, they think of things like chatbots, or in-app support.  Indeed, these tools can perform many useful functions that humans once had to do.  But chatbots can only help with simple issues.  If the issue is complex, then humans have to get involved.

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Autonomous Support for Startups

Startups are hard. Everything is moving at a mile a minute as you try to build references and customers. Unfortunately, in the mad rush to get the product out the door, support is often an afterthought.

For today’s smart products, we are increasingly finding that a smart product does not mean a smart user. Product returns plague the industry and are indicative of the difficulties consumers face during a technical setup or on boarding process.

Product returns are exacerbated by the negative reviews that are sure to follow. For startups, this can mean life or death for your brand.

For smart products, fast & accurate support is essential to customer success and to building initial brand traction and loyalty. Continue reading “Autonomous Support for Startups”

What does it mean to deliver Autonomous Support?

In 2012, an article in Wired magazine titled, “Let the Robot Drive: The Autonomous Car of the Future is Here” foreshadowed the coming self-driving car revolution. Now, only six years later, Autonomous cars have a foothold on our roads and each major auto manufacturer has incorporated safety features based on self-driving car technology. Some companies, like Tesla, (see Autopilot avoid a semi-truck) have made self-driving capability a key feature of their vehicles.

Why have we been able to take something as life-critical as driving and actually make a system that improves upon human performance in a mere 6 years?

The obvious answer is that advances in Artificial Intelligence (AI) deserve the credit. Continue reading “What does it mean to deliver Autonomous Support?”