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...
The 8 “SIMPLE” questions every Brand Marketer or Product Manager needs to ask themselves about their strategy in order to build proper tactics. When it comes to digital marketing & strategy - the best flashlight is a well-formed question. Below are a few “simple questions” that cross both product and business...
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...
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...
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...
Many of you will know us as Confluence Digital from years ago – almost 12 years now – when we began. In 2014 we also launched Canna Ventures to provide data-driven branding and marketing to the emerging cannabis and CBD/hemp industry. Now we’ve consolidated both missions into one as – The Matters Group. It’s been an interesting journey, to...
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 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...
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, 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...
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...
Ask questions. Focus on strengths — not on what's wrong. Build a "probability" of change, not a "possibility" In every Change Management scenario that I've been involved in. The stakeholders who I interview are desperate to tell me what's wrong with the organization. They are in so much pain that the...
Transactions Come in All Sizes & Shapes and Are All Motivated by Customer Pains and Where They Are in Their Buying Cycle Understanding the motivation of your most valuable target personas is essential to developing the strategies needed to define tactics to execute. Marketing or advertising without considering these crucial factors...
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...
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...
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...
