“A.I. will be an integral part of every business aspect we know today. Managers and C-Level executives will require a critical set of new skills related to A.I. And if they don’t…Well, they might be left in the dark.”
While some companies are aggressively adopting artificial intelligence, there are still many that are not.
Start learning about how to adapt AI to your business across multiple different applications and AI methods.
Understand all the concepts and jargon of Machine Learning and Artificial Intelligence.
Select and execute A.I. algorithms for business purposes such as predictions, segmentation and NLP (Natural Language Processing).
Fully understand when and where to apply A.I. to a business case.
Head Of Growth
A.I. is a large and complicated field. It can feel like “magic”. It’s not. We’ve made it accessible to anyone.
Clustering & Psychographics
Recommender systems, Image Recognition & Text
Automated contract review systems can be used to review documents which are relatively standardised and predictable in terms of the kinds of content they contain. The process involves decomposing the contract into its individual provisions or clauses, and then assessing each of these, either to extract key information or to compare against some standard.
It became much easier to get candidates applying for jobs recently (e.g. Easy Apply LinkedIn). As a consequence, screening candidates in lots of attributes demands a lot of time and attention from human recruiters. Supervised learning algorithms learns to score the best candidates, making it easier to a recruiter to spot them.
Medical mistakes are extremely costly. For example, doctors have to analyse lots of exam results, find patterns and make a decision. False positives lead to unnecessary surgeries and treatment. False negatives. Hospitals and clinics train a supervised learning model to diagnose positive cases based on data from past positive and negative cases..
Similar prediction methods allow us to predict how much a customer will be worth over his customer lifetime cycle. CLTV prediction is an important problem where an accurate estimate of future value allows businesses to effectively allocate marketing spend, identify and nurture high value customers and mitigate exposure to losses.
Understanding your customers is no longer about demographics or interests. A deeper understanding linked to your customer’s personalities, attitudes and behaviours allows for greater growth.
As a creative marketer, you’re likely on the lookout for innovative ways to reach your audience at all times. There’s a new kid on the block that just might revolutionize interactive marketing, and it’s called image recognition.
Natural Language Processing is a way to extract sentiment from customer feedback and customer chats. Market research can provide companies with a snapshot of how a small sample group perceives a product at a moment in time. Sentiment analysis is comparable to a continuous video of real-time feedback. It’s a powerful qualitative tool that can apply to you or your competitors.
Data Wrangler. Data Science, Machine Learning, Coding and Automation
International Growth Tribe Trainer
Data driven content marketing, social media, A/B testing, web analytics, SEO/SEA, landing page optimisation
Customer acqusition, behavioural psychology, paid channels and copywriting. Also a Lecturer for the Psychology Department of the Utrecht University.
Growth Tribe Trainer - AI
Writer and Physics teacher
Trainer / Coach
Head of Growth and Growth Coach. Specialised in B2B lead generation, A.I. for Growth, Technical Marketing, Web Development & Marketing Automation.
PhD and teacher in data science, machine learning, deep learning and business applications of A.I.
AI for Marketing & Growth Trainer
Developer, growth engineer, product development and analytics.
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