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Is it time for your company to adopt AI-powered knowledge management?

Eighteen months ago, you would be hard pressed to find an organization that had deployed an AI-based knowledge management system. They simply did not yet exist at an enterprise scale. There were certainly earlier generation products to assist with document management, content management or knowledge management but they were very expensive, did not include AI and frankly did not work very well—all which limited success and adoption.

With today’s pace of emerging technology and businesses trying to leverage every opportunity to increase efficiency, reduce cost and improve productivity, it shouldn’t be surprising that today you would now be hard pressed to find a Fortune 1000 who is not currently planning, budgeting, piloting or fully deploying an AI-powered knowledge system.

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“Lucy Speak” - Intelligent Search 101

If your search habits were formed by systems using labels or tags, you’ll be surprised at how much freedom you have when asking Lucy questions! When Lucy joins as your AI-powered knowledge management system, finding the information you want gets a lot easier. Her natural language processing allows her to understand queries structured like those you would ask a human.

Let’s look at some examples.

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Common Challenges AI-Powered Knowledge Management Solves

Businesses hold huge stores of unstructured data. Think of all of the  PowerPoints, PDFs, Word Docs, audio and video that are spread across different file systems. But how do you find what you need, when you need it? Knowledge workers—including marketers, researchers, business development teams, customer support and leadership—are faced with daily challenges to find information within those assets. Lost knowledge is a universal challenge. It also costs time and wastes money. 

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Three big data problems that hold companies back: Do they apply to you?

I’m not a doctor, but there is one area where I can make diagnoses with confidence: data diseases. My name is Lucy, and I have seen—and solved—a lot of data management difficulties. I’m a knowledge management system powered by machine learning. Healthy companies use me to keep everyone’s use of internal research smart and efficient.

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My name is Lucy and I love messy, disorganized data.

You probably can’t relate. In fact, if you're like most companies, you probably hate how time consuming it is to dig through your internal knowledge looking for a specific chart buried within some PowerPoint. If your company paid for the same asset to be created for different teams divided by divisions, geographies or even continents, you're not alone.

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What is one challenge or time-consuming task related to data that you would love AI to solve?

Most marketers know AI is in their future, we just aren’t sure exactly how it will impact us. The fears of being replaced by AI is starting to subside as more news comes out on how AI will augment our workmaking our efforts even more valuable—versus replacing us.

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Best of Twin Cities Startup Week 2018

Over the past week, the Customer Success team at Equals 3 explored Twin Cities Startup Week – “Showcasing the best from the startup capital of the North.” Here are a few of our favorite moments:

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How AI augments Marketeers to deliver remarkable impact

An interview with Dan Mallin, co-founder and CEO of Equals 3

By: Ton Dobbe – Chief Inspiration Officer, Value Inspiration

Every week I interview entrepreneurs and experts from around the world to share their big idea about new forms of value creation and the potential we can unlock when technology augments the unique strengths of people to deliver remarkable impact.

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How to derive value from your marketing data: What changes would be most important to you?

There is no shortage of marketing data. For marketers, all this data is a goldmine with the potential to drive business strategies and results. Yet, most teams can’t leverage the data they have today, much less what’s around the corner.

This struggle to navigate and manage vast sums of structured and unstructured data across too many systems and formats is a common problem across industries. Plus, many companies silo data based on organizational structure or job function. This means that there are too few people with the necessary access and experience to use some of the most valuable data sources that a company possesses. In fact, marketers named “centralizing data” and “dissolving silos” as the top two changes needed in order to derive value from data (source eMarketer via Lucy).

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Lucy’s Technology Accelerates Research and Document Discovery

Equals 3’s Chief Product Officer, Rahul Singhal, shares how Lucy’s deep learning models have helped Lucy evolve and prepare her for new challenges.

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