The 8 numbers that explain what’s really happening with AI adoption

There is no shortage of evidence that companies are adopting Artificial Intelligence (AI). Every quarter brings another survey showing that more organizations are experimenting with generative AI, putting models into production, giving employees access to copilots, or increasing their spending on the technology. At the same time, there is a growing body of evidence suggesting that the economic impact of all this activity remains much less significant than the level of investment would imply. Both observations can be true, and when the numbers are put side by side, the apparent contradiction becomes easier to understand. Therefore, a more useful way to think about the current state of enterprise AI is not to ask whether companies are adopting it. They clearly are. The more important question is whether companies are changing their operations quickly enough to turn widespread access to AI into any meaningful business outcomes.

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Is your product actually a solution, or is it a platform?

The software industry loves labels. Product. Solution. Platform. Network. Offering. They're often used interchangeably, but they don't necessarily mean the same thing. There isn't a universally accepted definition for these terms, but there are some widely accepted perspectives in the software industry worth taking into consideration when you develop your go-to-market messaging. More importantly, using the right terminology helps set the right expectations with your customers.

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9 AI-Native Supply Chain Planning trends reshaping the industry

AI-native supply chain planning is becoming a more visible part of the technology landscape. Over the past year, Alex Pradhan has spoken with a growing number of newer supply chain planning vendors and identified a number of characteristics and trends that distinguish AI-native platforms from traditional systems being retrofitted with AI.

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Article

What a Digital Supply Chain Network actually is

By: Avery Source | 3 min read

People talk about digital supply chain networks a lot, usually as if everyone already agrees on what they are. In reality, most organizations don’t. And if you strip away the terminology, there’s still a fair amount of confusion about what problem they’re actually trying to solve.

Article

Healthcare doesn’t have an AI problem. It has a data problem.

By: Avery Source | 3 min read

Everyone is talking about how Artificial Intelligence (AI) will transform healthcare in America. I’m not convinced that’s actually the core issue. Before AI can do anything meaningful in healthcare, there’s a much more basic problem that still hasn’t really been solved.

Article

You’re one “So what?” away from better marketing

By: Peter Nilsson | 3 min read

Most B2B SaaS marketing efforts fall flat because they stop at what the product does and leave it to the buyer to figure out what value it brings. The best messaging goes two levels deeper, passing the "So what marketing test."

Article

Here’s why you don’t want a perfect 5-star rating

By: Peter Nilsson | 3 min read

It seems logical that every company should aim for a perfect customer review score. After all, if every customer is happy, why wouldn't that help convince the next customer to buy from you? The problem, however, is that buyers don’t think like that.

Article

Why “People, Process, and Technology” isn’t fixing your problems

By: Suhas Sreedhar | 5 min read

If you’ve spent any amount of time around digital transformation, change management, consulting, or enterprise software, you’ve probably heard the phrase “people, process, and technology” more times than you can count. The framework has become so common that it is often treated as a checklist. Need to improve performance? Buy a new technology. Then adjust the process and train the people. The problem is that it rarely works that way. In fact, I would argue that one of the reasons so many transformation initiatives struggle is because people have misunderstood what “people, process, and technology” was supposed to mean in the first place. The framework is often presented as three separate buckets that need to be addressed. The reality is that they are interconnected. Change one, and you inevitably impact the others.

Close more deals with just 4 questions

By: Paige Turner | 3 min read

In B2B sales, there are, generally speaking, three stages to a sales process. Demand creation, where you educate the prospect about their problem and the art of the possible in how to solve it. Selling, where the prospect has identified a problem and is looking for a solution. And order taking, where someone has a clearly defined need and a comprehensive understanding of what the solution is, and is only looking for which solution provider to select, typically through a formal RFx process.

Article

Exposing the myth of AI: Why the hype is still holding you back

By: Paige Turner | 3 min read

A few years ago, the myth surrounding Artificial Intelligence (AI) was that it would solve all types of manufacturing challenges. Today, the myth has changed. While many manufacturing leaders now accept that AI is real, the problem is that many organizations still believe AI can compensate for poor processes, disconnected systems, and bad data. It can’t.

Article

5 Types of Supply Chain Control Towers

By: Peter Nilsson | 8 min read

The term “control tower” has been grossly overused in the domain of supply chain management over the years and is used today to describe practically anything from basic visibility to network-wide fully autonomous solutions. This makes it nearly impossible for anyone looking for a capable solution to effectively compare options side by side.

Article

Why Digital Transformation starts with documentation

By: Peter Nilsson | 3 min read

Digital transformation doesn't start with software. It doesn't start with AI. It starts with understanding your processes, your data, and your business as it exists today. That is where meaningful transformation begins.

Article

5 Steps to more effective business development

By: Paige Turner | 5 min read

Nobody cares about your product (at least not yet). Imagine this: you sit down in your office with a freshly brewed cup of coffee. You open up LinkedIn and start checking your notifications. You notice that someone has engaged with some of your content, which is always flattering, and has sent you a connection request with the note, “I’m expanding my professional network and would like to connect with you.” Wanting to be an active member of the LinkedIn community with a growing network of connections, you accept the invite. At this point, you can almost count backwards: three, two, one... and there comes the pitch: “Thanks for connecting. Let me know when you have 30 minutes, so I can tell you about my product.”