Digital Sensory Expertise provides an AI expert system to help food scientists with quality control and product development. Their software uses AI and standardization to bridge gaps between quality control systems and sensory evaluation, breaking down silos of data into a single data warehouse. This allows for more rapid discovery of problems. Their business model includes licensing the open source software for free or a fee, as well as expert services and a flavor/scent e-marketplace with transaction fees. The team includes experts from Unilever, IBM, and the inventor of iSmell with experience in sales, engineering, and AI.
Open Innovation Strategy in Sigma Life Sciences_NCET2 Webinar Oct 09Rebecca Poon
Use of open innovation to complement internal R&D function for bandwidth, increased efficiency and risk management with the goal of maintaining leadership in product and technology. Case studies in a life science company.
Data Science at Roche: From Exploration to Productionization - Frank BlockRising Media Ltd.
The excitement about the potential opportunities for leveraging data by means of advanced analytics is huge. But, the honeymoon between business and data science is over. Stakeholders want to see value generation from data science. At Roche Diagnostics the Data Science Lab was created. Its mission is to explore business opportunities for data science across the company and to deliver productive, algorithm based systems that create impact. In his keynote, Frank presented some examples of data science initiatives going from data exploration over predictive modelling to productionization. Some of the challenges encountered were addressed as well as the learnings.
A contemporary redesign of the traditional XiL system, capable of seamlessly going from verification and validation with SiL, through MiL and HiL, ending up as the backbone of a full-featured Digital Twin of the vehicle or system.
FocalCxm presentation on improving productivity in life sciences researchFOCALCXM
This webinar is organized by FocalCXM in partnership with Salesforce. As part of this webinar, we will walk you through our vision and explain how the various aspects of Salesforce and Heroku come to life to improve the overall productivity of research in Life Sciences.
Predicting Medical Test Results using Driverless AISri Ambati
This talk was given at H2O World 2018 NYC and can be viewed here: https://youtu.be/n9g9GxIJoT4
Description:
The goal of the research was to develop an approach to predict individual medical test results based on longitudinal medical and pharma claims data without direct lab measures using data-driven techniques. Such discoveries may result in improved treatment strategies. In the presentation we demonstrate how Driverless AI was used both for estimating highly accurate model and results explanations.
Speaker's Bio:
Alexander is the Data Science leader at poder.IO. He is responsible for data flow architecture and insight mining, all powered by machine learning. Before joining poder.IO, Alexander made an academic career at Belarusian State University and Minsk Innovation University where he was Head of the Informatics and Mathematics Department.
Data Con LA 2022 - Why Data Quality vigilance requires an End-to-End, Automat...Data Con LA
Curtis ODell, Global Director Data Integrity at Tricentis
Join me to learn about a new end-to-end data testing approach designed for modern data pipelines that fills dangerous gaps left by traditional data management tools—one designed to handle structured and unstructured data from any source. You'll hear how you can use unique automation technology to reach up to 90 percent test coverage rates and deliver trustworthy analytical and operational data at scale. Several real world use cases from major banks/finance, insurance, health analytics, and Snowflake examples will be presented.
Key Learning Objective
1. Data journeys are complex and you have to ensure integrity of the data end to end across this journey from source to end reporting for compliance
2. Data Management tools do not test data, they profile and monitor at best, and leave serious gaps in your data testing coverage
3. Automation with integration to DevOps and DataOps' CI/CD processes are key to solving this.
4. How this approach has impact in your vertical
Open Innovation Strategy in Sigma Life Sciences_NCET2 Webinar Oct 09Rebecca Poon
Use of open innovation to complement internal R&D function for bandwidth, increased efficiency and risk management with the goal of maintaining leadership in product and technology. Case studies in a life science company.
Data Science at Roche: From Exploration to Productionization - Frank BlockRising Media Ltd.
The excitement about the potential opportunities for leveraging data by means of advanced analytics is huge. But, the honeymoon between business and data science is over. Stakeholders want to see value generation from data science. At Roche Diagnostics the Data Science Lab was created. Its mission is to explore business opportunities for data science across the company and to deliver productive, algorithm based systems that create impact. In his keynote, Frank presented some examples of data science initiatives going from data exploration over predictive modelling to productionization. Some of the challenges encountered were addressed as well as the learnings.
A contemporary redesign of the traditional XiL system, capable of seamlessly going from verification and validation with SiL, through MiL and HiL, ending up as the backbone of a full-featured Digital Twin of the vehicle or system.
FocalCxm presentation on improving productivity in life sciences researchFOCALCXM
This webinar is organized by FocalCXM in partnership with Salesforce. As part of this webinar, we will walk you through our vision and explain how the various aspects of Salesforce and Heroku come to life to improve the overall productivity of research in Life Sciences.
Predicting Medical Test Results using Driverless AISri Ambati
This talk was given at H2O World 2018 NYC and can be viewed here: https://youtu.be/n9g9GxIJoT4
Description:
The goal of the research was to develop an approach to predict individual medical test results based on longitudinal medical and pharma claims data without direct lab measures using data-driven techniques. Such discoveries may result in improved treatment strategies. In the presentation we demonstrate how Driverless AI was used both for estimating highly accurate model and results explanations.
Speaker's Bio:
Alexander is the Data Science leader at poder.IO. He is responsible for data flow architecture and insight mining, all powered by machine learning. Before joining poder.IO, Alexander made an academic career at Belarusian State University and Minsk Innovation University where he was Head of the Informatics and Mathematics Department.
Data Con LA 2022 - Why Data Quality vigilance requires an End-to-End, Automat...Data Con LA
Curtis ODell, Global Director Data Integrity at Tricentis
Join me to learn about a new end-to-end data testing approach designed for modern data pipelines that fills dangerous gaps left by traditional data management tools—one designed to handle structured and unstructured data from any source. You'll hear how you can use unique automation technology to reach up to 90 percent test coverage rates and deliver trustworthy analytical and operational data at scale. Several real world use cases from major banks/finance, insurance, health analytics, and Snowflake examples will be presented.
Key Learning Objective
1. Data journeys are complex and you have to ensure integrity of the data end to end across this journey from source to end reporting for compliance
2. Data Management tools do not test data, they profile and monitor at best, and leave serious gaps in your data testing coverage
3. Automation with integration to DevOps and DataOps' CI/CD processes are key to solving this.
4. How this approach has impact in your vertical
Presentation at Bio IT World West: To AI or Not to AI, Presented by Simon Tay...Lucidworks
Breakout presentation in Machine Learning Track at Bio IT World West 2019 / Molecular Med Tri-Conference. Presented by Lucidworks VP Global Partners and Alliances, Simon Taylor.
AI for Software Testing Excellence in 2024Testgrid.io
Revolutionize your testing process with Artificial Intelligence. This book explores how AI is transforming software testing, delivering faster, more efficient, and more effective methods.
This is Ajinomatrix's 3min special assignment for the Founder Institute of the Silicon Valley about digitization of the senses of taste and smell for the food industry
This is our latest updated Ajinomatrix 3 minute Pitch Deck for the Founder Institute - We digitize the senses of smell and taste for the food industry.
This is the second-gen pitch deck in it's earliest version for Ajinomatrix's software services. We digitize the senses of taste and smell for the food industry as a B2B organisation through AI.
Ang Chong Yi Navigating Singaporean Flavors: A Journey from Cultural Heritage...Ang Chong Yi
In the heart of Singapore, where tradition meets modernity, He embarks on a culinary adventure that transcends borders. His mission? Ang Chong Yi Exploring the Cultural Heritage and Identity in Singaporean Cuisine. To explore the rich tapestry of flavours that define Singaporean cuisine while embracing innovative plant-based approaches. Join us as we follow his footsteps through bustling markets, hidden hawker stalls, and vibrant street corners.
Roti Bank Hyderabad: A Beacon of Hope and NourishmentRoti Bank
One of the top cities of India, Hyderabad is the capital of Telangana and home to some of the biggest companies. But the other aspect of the city is a huge chunk of population that is even deprived of the food and shelter. There are many people in Hyderabad that are not having access to
At Taste Of Middle East, we believe that food is not just about satisfying hunger, it's about experiencing different cultures and traditions. Our restaurant concept is based on selecting famous dishes from Iran, Turkey, Afghanistan, and other Arabic countries to give our customers an authentic taste of the Middle East
1. Digital Sensory Expertise software
The
fi
rst AI expert system for food scientists
francois.wayenberg@ajinomatrix.org
www.ajinomatrix.org
+32 470.596.768 1
2. 2
PROBLEM 1: QUALITY CONTROL PROCESSES
Sensory data for food manufacturers is complex and non-standard
LATE DETECTION OF
NON-CONFORMITY
TIME / WASTE
SPILLING
ANALOG
DATA
ANALYSIS
WASTED TIME AND
ENERGY
PROBLEM 2: PRODUCT DEVELOPMENT/LOCALIZATION
NO STANDARD
SENSORY
DEFINITION
TRIAL AND ERROR
3. 3
SOLUTION
A simple software & standardisation framework using AI
TRL: 7
An expert AI system
Bridging the gap between QC systems and sensory evaluation
Breaking down data silos into a single data-warehouse
=> More rapid discovery of the problem!
4. 4
BUSINESS MODEL
Solution-relevant ecosystems
Ecosystem portfolio,
with 4 configurations:
Each one with a pricing scheme
LICENSING MODEL: Freemium
Ex: Small/Medium businesses, startups
download free Open Source software
and consume our expert services
LICENSING
50k€/year PoC
EXPERT
SERVICES
Xk€/Yweeks
FLAVOR/SCENT
E-MARKET
X% / transaction
R&D + TECH
RESALES
XXk€/deal
The conversion rate of B2B prospects understanding how this works is over 80%
6. 6
TEAM
Christian du Jardin
Interim CMO
(ex-sales/mktg Unilever)
François Gabriel
Wayenberg
Founder / CEO
Joel Bellenson
Science advisor
(iSmell inventor)
Bernard Donnay
Project Management
(ex-IBM engineer)
Dany Kwintner
Project Strategy
(The Ingenious Company, Jp)
Loic Quertenmont
AI Black Belt
Interim / CTO
UNESCO Best of the web award,
Cybertheate
Management book: Manager 3.0
Wired cover with the smell printer
invention
UNESCO Best of the web award,
Cybertheate
