When are machine learning models not enough?

AI companies like CrowdANALYTIX give their customers the best AI models for their needs, and that means offering accuracy levels of at least 94–96%. In AI development, the majority of models fail — at CrowdANALYTIX, close to 90% of the models our scientists create never get used by a client because they are not accurate or precise enough. …


What is General AI?

Although most people outside of the industry do not consider AI in these terms, there are actually two different types of AI that we can think about and discuss: the kind of AI we typically use in real life, for instance for doing quality control in manufacturing or for generating fashion recommendations on retail websites; and the kind of AI we tend to see in movies, which we might call “General AI.” This is AI with human-like thinking and reasoning capabilities, the kind of humanoid robots that end up overtaking the human race in science fiction films. …


In Part 1 we discussed what CrowdANALYTIX’ eCommerce solutions can do to improve conversions for fashion brands as they rely more and more on online sales. The process simply outlined includes:

  1. Adding subjective tags to products
  2. Tying attributes and values to the SKUs associated with them
  3. Creating customer clusters

All using AI algorithms for the fastest, most accurate results.

We then explored how all of this data can be leveraged together to improve three key aspects of eCommerce for fashion retailers: Search, Marketing, and Design. …


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Photo by Lauren Fleischmann on Unsplash

One of the solutions offered by CrowdANALYTIX is our autonomous product data onboarding solution that integrates seamlessly with most popular Product Information Management(PIM) systems. Thanks to this solution, brands have sped up the growth of their product catalogs and begun offering their customers much broader product selections, helping retailers compete with even the biggest eCommerce sites that have grown their product catalogs into the tens of millions. Automating the process can increase the speed of product onboarding by 60–70% on average, giving most businesses a quick and significant return.

Beyond this level of automation, CrowdANALYTIX has also helped retailers across…


It’s the first step towards robust AI solutions

Digital transformations begin with structured data. Yet most businesses are still dealing with heavily siloed, unstructured data that holds them back from implementing technologies that could help them gain efficiencies. Even worse, the backlogs of unstructured data within businesses are growing by 55–65% every single year. More data is piled on during every second of an enterprise’s continued existence, and even more is added when the business is in a period of growth: emails, PDFs, images, video files, and audio content proliferate.

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Photo by Alain Pham on Unsplash

This data plays a major role in digital transformation. As long as it remains unstructured, it is difficult…


The challenge of achieving effective monitoring can prevent businesses from fully embracing AI possibilities.

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Photo by Franki Chamaki on Unsplash

AI is one of the fastest growing industries in the world. Its rapid growth has been predicted for many years, and most of those predictions have proved accurate, with growth volume having outpaced even some of the most optimistic forecasts since the early 2000s. The artificial intelligence market is now expected to be worth more than $390 billion in the next five years, due to exponential growth in AI capabilities and big data research. …


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Photo by Lukas Blazek on Unsplash

Now that most organizations have been relying heavily on computer-based storage for several decades, and on cloud-based storage for at least several years, huge backlogs of data are common. It’s also common for this data to be unstructured, which means that it is in a raw, disorganized state: PDFs, text files, images, videos, and audio files are stored in such a way that their contents cannot be very easily accessed, analyzed, or leveraged for the good of the business. …


Every company has back office operations that they have to deal with daily. These vital functions can include:

  • Billing and invoicing
  • Payroll
  • Purchase order processing
  • Records maintenance
  • Data entry
  • Catalog maintenance
  • Application processing
  • Data digitization and conversion
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Photo by Sharon McCutcheon on Unsplash

And many more, depending on the industry and company size.

Although these operations tend to happen in the background of a business and are often outsourced, they take up a significant amount of time, manpower, and therefore financial resources for almost every enterprise because they are completed manually. In the world of sales, some representatives report that they spend up to 64.8% of…


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Photo by Kelly Sikkema on Unsplash

The reality

During recent weeks, many locations have begun to lift the restrictions placed on businesses due to the spread of coronavirus. In Texas, hair salons and tanning parlors can open if they follow certain guidelines intended to make disease transmission less likely. In Georgia, the decision has been made to allow children’s summer camps to open with some of those same restrictions. Across the country, people are beginning to look forward to the end of business closures and social distancing requirements, bolstered by the President’s assertion that the United States has now “prevailed” against the novel coronavirus. …


There’s a lot of hype around AI right now. AI itself and all of the terms surrounding it can be confusing for anyone just beginning their AI journey. Where do you start? Which aspects of your business can you optimize? How do you talk about AI like a professional?

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Photo by Michael Dziedzic on Unsplash

We doesn’t want to add to the confusion. The terms below provide our definition of the most commonly used terms in AI.

What is AI (Artificial Intelligence)?

When we refer to something as AI, we are talking about applying the latest in data science like machine learning, deep learning, and reinforcement learning to replace certain tasks…

Katharine Stevenson

Writer and Content Manager for CrowdANALYTIX. PhD from UT Austin.

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