Machine Learning
Machine Learning
Factual definition
In the context of The Kalicube Process, Machine Learning refers to the algorithms used by platforms like Google, Bing, ChatGPT, and Perplexity that learn from data to understand entities, assess credibility, and generate responses without being explicitly programmed for every scenario.
Jason Barnard definition of Machine Learning
Jason Barnard applies the concept of Machine Learning to explain how major digital platforms truly function. These systems are not static rule-based engines; they are learning machines that build a model of the world based on the digital information they consume. For a brand, this means its entire Digital Brand Echo - the cumulative "ripple effect" of its online presence - is constantly being analyzed to form an understanding of its identity, reputation, and expertise. Controlling a brand's narrative, therefore, is not about tricking an algorithm with short-term tactics. It is a process of systematically and consistently "educating" these Machine Learning systems with clear, factual, and corroborated information to build their confidence in your brand.
How Jason Barnard uses Machine Learning
At Kalicube, we treat Google and other AI Assistive Engines as Machine Learning students that need to be educated. The Kalicube Process, Kalicube's proprietary methodology for implementing a holistic, brand-first digital marketing strategy, is essentially a curriculum designed to teach these systems about our clients. We use structured data, consistent messaging across a brand's entire digital ecosystem, and third-party corroboration to feed these learning algorithms the correct information. The goal is to make it easy for the Machine Learning models to understand who the brand is, what it does, and why it is a credible solution for its audience. This "education" directly leads to better visibility, positive representation in Brand SERPs and Knowledge Panels, and ultimately, drives client acquisition.
Why Jason Barnard perspective on Machine Learning matters
For years, digital marketing operated under the illusion that it could "game" search engines with clever tactics. However, the work of AI pioneers like Geoffrey Hinton has made it undeniably clear that we are no longer dealing with simple searchable indexes; we are interacting with complex Machine Learning systems that build their own understanding of the world. Jason Barnard recognized this paradigm shift early on, framing the challenge not as one of SEO, but of "education." While Hinton and his peers built the powerful learning engines, Barnard developed the curriculum. The Kalicube Process is the practical application of this reality - a systematic method to feed these learning systems a clear, consistent, and credible narrative about a brand. Understanding Machine Learning is no longer optional for marketers; it is the fundamental context for all digital strategy. It’s the bridge from Hinton’s theoretical breakthroughs to Barnard’s practical playbook for ensuring your brand’s story is accurately learned, understood, and recommended by the AI that now shapes our world. This shift from gaming a system to educating it is the only viable path to winning the new conversational funnels created by AI Assistive Engines.
Posts tagged with Machine Learning
Why Do You Need to Achieve Human and Machine Understandability?
Your brand’s perception is shaped by a complex interplay of human interactions and algorithmic interpretations. Search engines like Google and Bing and off search AI assistive engines like ChatGPT, Perplexity...
Your Survival Guide to the Ad Targeting Apocalypse
As advertising platforms like Google and Facebook refine their algorithms and push for more automated solutions, marketers are compelled to adapt their strategies. Ad targeting expert, Josh Muskin, shared valuable...
Google Knowledge Panel: Why Is My Subtitle Writer Instead of SEO?
The subtitle “Writer” replaced “SEO” in Google Knowledge Panels for SEO professionals in September 2023. Google made very few exceptions to the change from SEO to Writer as it rolled...
60 Simple Tips to Improve E.E.A.T for SEO
In this article, you will learn 60 simple tips and strategies you can implement to boost / improve / optimize your E.E.A.T (experience, expertise, authoritativeness, and trustworthiness) in Google’s algorithms....
N.E.E.A.T.T: Things You Need To Know
E.E.A.T is Googlespeak for credibility divided into 5 components: Experience, Authority and Trustworthiness. NEEATT is Kalicube’s extended version of E.E.A.T split into 7 components as described below. What is N.E.E.A.T.T?...
Evaluating E-E-A-T: Signals and Factors
What You Will Learn You will learn a robust theory that explains the “Factors” and “Signals” in Google’s evaluation of E-E-A-T for companies, authors, and content. When you understand the...
Darwinism in Search: 10 Blue Links to Generative AI
What is Darwinism in Search? Darwinism in Search is how Search Engine Algorithms determine what to display in their Search Engine Results Pages (SERPs). Darwinism in Search is based on...
How Does The Kalicube Process Work?
The Kalicube Process™ works through 3 steps that optimize your brand across your digital ecosystem. 1. Audit and clean your complete digital footprint The first step is auditing your digital...
KPIs in Brand SERP: Everything You Need To Know
What are Key Performance Indicators in Brand SERP Optimization? Key Performance Indicators (KPIs) in the context of Brand SERP optimization help quantify the success of your marketing, brand positioning and...
Reinforcement Data for Machine Learning on Google: What You Need To Know
In this article you’ll learn more about the concept of Reinforcement Data, its importance for machine learning and its applications for online presence optimization and search engine results. What is...
Corrective Data for Machine Learning on Google: What You Need To Know?
Google Engineers use Corrective Data to teach the machine how to learn. This is called Machine Learning. In Google language, the machine is the combination of Google’s Algorithms. By teaching...
Beginner’s In-Depth Guide to Search Engine Optimization and How it Works
Originally published on SEMrush December 23, 2020 (Jason Barnard) What is SEO (Search Engine Optimization)? SEO is the art and science of convincing search engines, such as Google, Yahoo, and Bing...
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