Episode 02: Sweet tech – designing
a sugar-reduced future through AI
Welcome by Rahul Siva
Component content
I’m Rahul Siva and I’ll be hosting this second episode of our Sweet Smart masterclass! In this episode I’ll be sharing learnings from my 20 years of research experience in artificial intelligence and machine learning. You can find out more about me here. Join me and my colleague Ben Kranen to find out how AI and digital technology guided by human intuition can help us reduce sugar in our favourite foods!
Rahul Siva, Research Investigator
What we’ll cover in this lesson
Component content
What we’ll cover in this lesson
In this episode, we explore the fusion of AI and human expertise to enhance the nutritional profile and taste of food while reducing sugar content. We’ll also take a closer look at Givaudan’s proprietary AI tools, such as ATOM, and how they support sugar reduction without compromising consumer appeal.
- A brief history of technology in the flavour and fragrance industry
- Harnessing the power of AI
- The role of technology and AI in sugar reduction
- Examples of digital technologies
- A case study using Givaudan’s proprietary tool ATOM (by Ben Kranen, APAC Principal Flavourist)
Watch the video
Component content
Watch the video
Get ready to blur the boundaries between human intuition and digital technology to shape a sugar-reduced future.
Don’t have time to watch the full video now?
Brush up on some key facts by checking out the engaging content below.
In a nutshell
Component content
In a nutshell
70 years ago, scientists working on isolating the source of contamination in a toothpaste inadvertently invented a technology that is a cornerstone of the modern food industry? What is it?
?
What are some key ways in which AI is supporting sugar reduction approaches?
Can you name the following Givaudan AI technologies?
A device that generates aromas
in real time, helping flavourists
create custom flavours quickly
based on customer inputs.
An interactive aroma dispensing
device that is placed in public
places to engage with consumers
and gather valuable input related
to their preferences and tastes.
An AI tool used to optimise
product recipes.
Four successful uses of ATOM at Givaudan to reduce sugar
Ingredient replacement | Product optimisation | Flavour matching | Exploring new directions |
Replacement for sugar reduction, salt reduction, meat alternative, or dairy alternative scenarios. | Optimising product recipes to maximise consumer linking or brand fit. | Matching a target or reformulating a recipe to meet organic to all natural certification. | Identifying trending flavours or fragrances for line extensions of existing brands. |
A look at the numbers
10+
years Givaudan has been working on perfecting the AI inside ATOM.
28%
of sugar reduction achieved in ketchup with ATOM.
1,000+
products that have been shaped by Givaudan’s digital and AI technologies.
30
years Givaudan has been developing digital technologies.
Discover more
Component content