Let's Go Beyond the Hype!

Combining academic excellence and industry expertise to inspire smart people to do amazing things with data that solve real world problems that have purpose.

 

At Bayezian we recognised that Artificial Intelligence has the potential to improve humanity for the greater good. Today, many organisations are starting out on their journey and are looking beyond the hype by focusing on the benefits gained from the interdisciplinary fields of Statistics, Data Science & Machine Learning.  

 

We found that there was a significant skills gap within the industry, in particular in early engineering and data ideation (the first mile), throughout projects (the journey) and in deployment (the last mile.) 

 

So we created Bayezian and the Bayezian Incubator to launch and accelerate early careers to help bridge this ever-increasing skills gap.  We ideate, build, deliver and operate, taking ideas all the way from initial idea to real-world impact.

Professional Growth
  • Black LinkedIn Icon
  • Bayezian
 

Our Work

"

You have data and a deep understanding of the problems and opportunities you face. 

 

We have proven capabilities and a research mindset to solve them.

PHARMACEUTICAL & HEALTH

Pharmaceutical and health businesses have always relied on empirical data in order to identify patterns, test theories and understand the efficacy of treatments. Data Science is a highly impactful evolutionary trend that has been continuing for decades; that of human beings having ever greater access to information and data.  This is 

01.

Adaptive Clinical Trial Design

Adaptive designs can make clinical trials more flexible by utilising results accumulating in the trial to modify the trial's course.

02.

Clinical Resource & Finance Forecasting

Ideate and deliver a more accurate resourcing and financial forecasting model to effectively predict biostatistic and clinical programming resource  & financial requirements for clinincal trails.

03.

Accelorating Drug Discovery & R&D

Screenshot 2022-04-28 at 12.34.06.png

"Bayezian brings a new level of energy and I can truly say their research mindset hugely compliments my team" - Head of R&D - Pharmaceutical

FINANCIAL SERVICES

The model of financial services is changing. Banks, insurers, pension providers, and asset managers are re-thinking their business strategy to leverage data science to put customers, purpose, and sustainability at the heart of what they do. 

In particular, data science is helping the finance industry look beyond profit-taking environmental, social, and governance (ESG) considerations into account.

04.

Financial Bias and Predicting Loan Default

Financial services are using artificial intelligence (AI) and machine learning (ML) methods for a wide range of operations and customer journeys. 

 

Read Bayezian's White Paper on Financial Bias and Loan Deault.

ENVIRONMENT, SOCIAL & GOVERNMENT

As stakeholders demand more environmental, social and governance (ESG) efforts, regulations tighten and consumers increasingly expect brands to take action, organisations must now demonstrate that they are purposeful about sustainability, hold strong ethical standards and operate responsibly in everything they do.

05.

 

An Introduction to ESG

Modelling climate risk and measuring impact on specific asset classes and commodities.

 

WELCOME TO THE
BAYEZIAN INCUBATOR

Bayezian solves complex business problems and accelerates the discovery of new ideas with results you can understand and trust.

Idea 2
 
 
 
 
 
Screen Shot 2021-11-16 at 16.40.36.png

DRIVING MORE IDEATION WITHIN THE INCUBATOR

DELIVERING PROJECTS FASTER AT A LOWER COST

MAXIMISING THE BENEFITS IN PRODUCTION

Programming Console

DATA IDEATION

Driven by the Bayezian Data Ideation Platform we undertake low-cost "Always On" Data Ideation helping our clients accelerate the early proof-of-concept and proof-of-value stage for a given set of hypotheses enabling them to prioritise use cases and identify the moonshots.

"The Bayezian Incubator enables me to very quickly identify which use cases I'm going to invest in." - Head of Data Science - Pharmaceutical.

Detecting Unfit Gamblers through (Voice)

To ideate the possibility of detecting stress in voice, we used data from The Ryerson Audio-Visual Database of Emotional Speech and Song (RAVDESS) with audio analysis to identify speech which included the extraction of over 1000 spectral features before unsupervised machine learning techniques (XGBoost) were applied.

Reducing Fish Mortality in UK Rivers (Data)

Limiting fish mortality within our rivers caused at pumping stations -- 30% reduction in strike risk. Developed as an R / R- Shiny Application based on existing method created as part of a Netherlands Standard (NEN8775).

Improving Male Fertility (Vision)

Driving insights into male fertility by applying machine learning techniques to classify instances of altered fertility rates from an individuals lifestyle and environmental factors, while also building an object detection model and a convolutional neural network to evaluate sperm quality from video data.

Medical Paper Recommendation Engine (Language)

A content-based recommendation engine that provides similar and complimentary scholar papers whilst identifying correlation between papers adopting Universal Sentence Encoders and BERT (Bidirectional Encoder Representations from Transformers) for Natural Language Processing.

  • LinkedIn

CONTACT

Floor 8, New Kings Beam House

22 Upper Ground

London

SE1 9PD

Thanks for submitting!

Oxo.jpeg