Stephan Cassar

Stephen is often invited to advise Fortune 100 companies in overall Product Strategies and Architecture Design especially as it pertains to Workflow Management, eCommerce, Artificial Intelligence and Machine Learning, bringing with him an objective view of current processes and recommending small shifts in strategy that yield big long term results and immediate ROI. As CTO / Chief System Architect, Stephen brings an in-depth knowledge of what it takes to build successful Software-as-a-Service platforms, often combining multiple legacy systems to achieve a secure, unified view of complex datasets, through scalable cloud-based architectures.

over 4 years ago
Building a Better AI Recommendation Engine

(Source: Matej Kastelic/Shutterstock.com) Have you noticed that recommendation engines aren’t that smart? Rotten Tomatoes does a great job telling you what critics and audiences think, but a...

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almost 5 years ago
The Hottest Things in AI

3 Emerging Trends Every AI Engineer Needs to Explore (Source: Omelchenko/Shutterstock.com) In late 2019, International Data Corporation predicted that global spending for artificial...

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about 5 years ago
The Hottest Things in AI: 3 Emerging Trends every AI Engineer needs to Explore

It has been predicted that global spending for AI systems will grow to $97.9 billion by 2023. We explore three emerging trends that may well shape the future of AI.

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about 5 years ago
Why Python is (Still) a Top Programming Language for AI, ML and Even DL Applications

Python is described a high-level dynamic programming language, but it’s actually easier to use than others. Let’s explore what Python does best, how to get started, and available resources.

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8 months ago
Programming Decoded: AI vs. Algorithms vs. Machine Learning

The words artificial intelligence (AI), machine learning (ML), and algorithm are too often misused, confused, and misunderstood. Let’s explore each and discover how and where they are used.

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about 5 years ago
Building a Better AI Recommendation Engine

It can be argued that recommendation engines aren’t that smart. Here’s a simple three step system to designing AI recommendations that work elegantly.

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