Synaptiq

The Apple of Your AI

The appeal of artificial intelligence (AI) lies in its ability to generate useful insights from data, which Food & Beverage Service Providers (FBSPs) can leverage to create value. For example, 43 percent of Instagram's 1.16 billion users list "Food & Drink" among their interests. FBSPs (and Instagram itself) use AI tools to analyze user data, resulting in insights that enable better marketing and, by extension, more revenue.

This blog post will explore AI use cases in the Food & Beverage industry. We’ll focus on three pain points faced by FBSPs: shifting consumer demographics, accelerating trend cycles, and evolving regulatory expectations.

AI Can Help Large-Scale Food & Beverage Businesses Improve ESG

An organization’s environmental, social, and governance (ESG) score evaluates its performance on...

Artificial Intelligence & Machine Learning: What's the Difference?

Artificial intelligence (AI) and machine learning (ML) aren't synonymous. It’s a common mistake to...

Artificial Intelligence in the Future of Aviation & Aerospace

Technology innovation has always been the currency of success in the aviation and aerospace...

Chat-GPT: The End of Education?

Chat-GPT is a large language model developed by OpenAI. Two characteristics make it exceptional:...

Computer Vision to Identify Aquatic Macroinvertebrates & Evaluate Water Quality

This blog post features an image of a mayfly: a type of aquatic insect belonging to the order...

ChatGPT: Why the Hype?

OpenAI's ChatGPT is a prototype large language model, able to answer questions and engage in eerily...

Hospitals Face an Infection Control Problem. People + AI Can Solve It.

The Problem is Non-Compliance

Healthcare-associated infections (HAIs) affect 1.4 million people...

Three Ways to Failure-Proof Your AI Roadmap

Manage Risk & Achieve Rewards

Artificial intelligence (AI) adoption is accelerating, but trends are...

Computer Vision vs. Machine Vision: What's the Difference?

The Simplest Explanation

You’re likely to encounter “computer vision” (CV) and “machine vision”...