The ripple effect of advancements in technology is quickly shaking up the marketing scene in a big way. Companies and marketing consultancy firms have been at the forefront of ushering in the new technology era through embracing AI in marketing. However, not all are well versed with the idea of artificial...
Over the past few decades, the use of AI in business has grown tremendously. By 2030, AI may generate up to $15.7 trillion in revenue to the global economy. From process automation to sales forecast, the potential applications for AI in business are nearly limitless. But, you've still got to wonder,...
Artificial Intelligence (AI) is becoming a critical component of digital marketing. AI in marketing can be particularly revelatory, often delivering valuable insights that marketers can use to develop personalized content, drive conversions, and improve customer experience. Such insights help develop effective marketing strategies, which increase Return on Investment (ROI) for AI...
There are numerous reasons why a company may decide to develop a data science team in their organization. The skills an in-house team brings can enable organizations to turn raw data into strategic assets. Their skills lead to better use of data assets including understanding customer behavior, error detection, automation of...
Unfortunately far too many businesses tend to dismiss the need for market research when making business decisions. We’re not sure why this feeling not only exists, but seems more companies are willing to make sizable investments without fully understanding the opportunity or potential risks. Fundamentally, success in business is about mitigating...
Since the advent of Big Data Analytics over a decade ago, the challenge has been to gather the data so that you can see the data and display it in such a way as to allow it to be useful in the day-to-day processes of a business. Dashboards are very popular...
Okay, we're going to be blunt here. Fellow marketers time to “get over” the artificial intelligence (AI) hype. Time to stop thinking it’s all about “disruptive,” complex technology on the bleeding edges of a new frontier. The unfamiliar terminology. The unseeable interactions between variables lead to discovering solutions. The ridiculous and...
Artificial Intelligence(AI) has recently been integrated into marketing and is still in its early stages. It makes automated decisions based on available data and audience observations or economic trends that impact marketing. By doing so, it enables marketers to gain more insight and understanding of their target audiences. However, a business...
Here’s a case where AI rolled into the ongoing rollout of the Affordable Care Act (ACA). To avoid getting lost in the weeds, let’s just recall that there were big-money battles involving healthcare providers, the Federal government, and the confused, newly ACA-insured and wanted-to-be insured. Problem: Two very large healthcare providers urgently...
"Data Scientist in Residence", "Chief Data Officer", "Big data engineer"...the data science buzzword du jour is “Data Scientist.” These data scientists are part data analyst, part statistician and part software developer. With data quickly becoming a top strategic business priority for many companies, the need for data scientists will only increase...
When we look at the fast moving consumer goods (FMCG) landscape, we see nothing short of incessant shelf warfare. And few weapons are as critical to victory as package design. What catches whose eye? Is the reaction positive, negative, indifferent? In the olden days, we’d wander alongside a typical shopper in...
We’ve been posting opinions and comments that urge marketers to “get over” artificial intelligence (AI). To dive into AI’s veritable treasure house of research tools and insights, instead of circling it warily, for fear of banging into a “disruption” moment. So, we hereby plant the flag of AI for the regular...
Note: Spending some time recently with a client, helping them sort through their data aggregation and clean-up, gave me the opportunity to catch up with Randa Minkarah, Co-Founder & President from Resonance A.I. Randa and I talked about the challenges that companies are still having regarding not only being “data-driven” but...
Data and analytics have taken the business world by storm - finally! It’s been a long time coming though many may say they’ve always used data to support decision making. While true for some, the rise of Data Science from the back office to the boardroom conversations as the most...
Okay, it’s time for your cannabis business’s digital marketing program to get serious. Hopefully, you already have Google Analytics installed on your cannabis website. Unfortunately in 9 of 10 digital marketing programs we audit the implementation of Google Analytics is minimal if implemented at all. To take the next step with...
Successful series of studies on the Cannabis Consumer results in pioneering strategic partnership to deliver Fortune-500-caliber market insights. SEATTLE, WA March 20, 2018 – Seattle-based Matters Group and Cascade Strategies, Inc., have formalized a partnership to deliver advanced data science, sophisticated analytics and market research services to the emerging cannabis industry....
Advanced Analytics is an encompassing term that is used to categorize techniques and technologies that seek to understand what happened in detail or to predict what may happen with an unmatched degree of precision. We use the term to encompass services that include Data Science, Artificial Intelligence, or AI and related...
The marketing industry has been bombarding itself for years with ways to “manage” or “harness” the “disruption” brought upon us by artificial intelligence, machine learning, and the like. What do we mean by “disruption?” We mean “OMG, scary, out-there science that’s escaped from the lab and now everyone has to wear...
Let’s take a geek’s-eye look around the AI treasure house. Oh, here’s a cool tool - Latent Effects Modeling. Latent variables, as opposed to observable variables, are variables that are not directly observed but are rather inferred (through a mathematical model) from other variables that are observed (directly measured). In short, Latent Effects Modeling takes what you...
