AI Moat Strategies for 2024
If you’re building an AI-business in 2024, your options to protect it are fairly limited: Every AI investor is asking today: Is your business defensible? Can it be easily copied?…
Salespeople Are Underrated. It’s Time To Change That.
If you are a product manager and checked the latest sales report, you might have seen something like this: Same product, same region, same vertical. Different salespeople. Different results. So,…
Data Privacy and Machine Learning
GDPR and Data Privacy pose an interesting challenge to all businesses using Personal Identifiable Information (PII) as training data for their Machine Learning models. PIIs include names, addresses, phone numbers, age,…
Which 95% is better?
95% seems to be the magic number in the field of Artificial Intelligence. In a recent study DeepMind’s AI correctly identified various types of eye disease 94.5% the time. This puts…
Deep Learning’s Key Feature
Machine Learning is automating parts of software development, removing the need to write logical rules. In traditional Machine Learning, designing logical rules is replaced by defining or identifying the data…
A Key Challenge in AI: Solving the Data Access Puzzle
Almost all of the latest AI implementations are based on Machine Learning. That means that access to training data is critical. Andrew Ng – Baidu’s ex Head of AI, and…
Artificial Intelligence vs. Machine Learning
Artificial Intelligence (AI) and Machine Learning (ML) are often used interchangeably, but they are not synonyms. In a previous post, we defined AI as a term describing machines performing “cognitive” tasks.…
What is AI?
In very simple terms, Artificial Intelligence (AI) is our ambition to get machines to perform cognitive tasks. To understand what these cognitive tasks are, let’s use an example: You started planning your…