On YouTube, you might learn that finding outliers is as simple as determining which data was above 2-times standard deviation. At Squark we wish that were true, but that isn’t a really accurate guideline, however helpful. It’s a dull data
Is your business ready for the metaverse? Is your marketing team prepared to serve those customers? How do segments differ and overlap from your customers in the physical world? If you’re asking yourself those questions, that’s a good start. If
Time series forecasting is one of the easier business use cases of machine learning and AI for people to understand. Just think about your 401k. Time series forecasting can take the historical performance of your 401k and predict the values
In our last post about machine learning, we went over what MLOps is and touched on the benefits. In this post, we go deeper into the benefits of automated machine learning (AutoML). A Go-To Tool for the Technology Stack: AutoML 1.
Direct-to-Consumer (DTC) brands have been on the rise for the past several years, their adoption accelerating with the pandemic. With their plethora of customer data and an inclination toward adopting the latest technologies, some have been earlier adopters and beneficiaries
You’re sold. You understand the value of a no-code predictive analytics tool. You can check all the boxes on the Are You Ready for a Predictive Analytics Solution checklist. Now you need to get stakeholder buy-in across departments. We’ve got
Recently we’ve all heard and felt the effects of the supply chain issues. Issues have been growing with the increased demand of e-commerce businesses and exacerbated by Covid-19. Fortunately, supply chain management companies aren’t waiting for the issues to resolve
The potential of AI to improve people’s lives, both personally and professionally, is enormous. However, there is also a concern about possible inadvertent or negative impacts, which is why Squark is committed to the practices of responsible AI in the
When marketers hear “predictive analytics,” the first use case that typically comes to mind is identifying the customers most likely to buy. That is a great one, it drives efficiency, conversions, and revenue, but it isn’t the only capability. There
MLOps combines the terms machine learning and DevOps and stands for Machine Learning Operations. It is a set of practices that aim to not only deploy but maintain machine learning models in production reliably and efficiently. It is a core