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  • Welcome by Rahul Siva
  • What we’ll cover in this lesson
  • Watch the video
  • In a nutshell
  • Discover more
Welcome by Rahul Siva
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Rahul Siva, Research Investigator

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
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    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.

    1. A brief history of technology in the flavour and fragrance industry
    2. Harnessing the power of AI
    3. The role of technology and AI in sugar reduction
    4. Examples of digital technologies
    5. A case study using Givaudan’s proprietary tool ATOM (by Ben Kranen, APAC Principal Flavourist)
    Watch the video
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    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
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    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?

    ?

    GC-O (Gas Chromatography Olfactometry)

    What are some key ways in which AI is supporting sugar reduction approaches?
    Identifying novel ingredients
    Optimising ingredient combinations
    Tailoring ingredient selection for specific products
    Assessing cross-modal sensory interactions

    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.

    VAS Air

    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.

    Aroma Kiosk

    An AI tool used to optimise
    product recipes.

    ATOM
      

    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 recipies 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
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    Season 1
    Eating ice cream from a carton cup

    Sweet sensation – using biology to redesign sweet taste
     

    Presented by Jay Slack,
    Research Fellow

    Go to lesson 01

    Sweet tech – designing
    a sugar-reduced future
    through AI

    Cupcake

    Sweet discoveries – navigating the natural chemical space
     

    Presented by Stefan Furrer,
    Sr. Research Investigator

    Go to lesson 03