Analytics as a Service

CBIA Insights: A Modern Data Platform delivered as a Service

What is Analytics-as-a-Service? Data Analytics is now an essential capability for every organisation and every sector – public and private, large, and small.  But developing and operating a data analytics capability that efficiently delivers actionable insights has always been an expensive challenge. And one that rarely works the first time or is capable of quickly
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a healthcare knowledge graph

Graph technology makes Gartner Top 10 Trends in Data & Analytics for 2021

An example of a knowledge graph from the MIS GraApH Working Group (illustrative only). It shows the relationships between a physician and patient with their problems, symptoms and medications. Graph relates everything – Graph forms the foundation of modern data and analytics with capabilities to enhance and improve user collaboration, machine learning models and explainable AI.
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Au Pair in America

American Institute for Foreign Study and C-BIA celebrate a 10-year partnership

You may have never heard of AIFS but you have probably heard of their flagship programs in Europe: Au Pair in America (established in 1986) and Camp America (established in 1969). Each of these attracts several thousand participants each year and its likely someone you know has benefited! AIFS: We Bring the World Together AIFS
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CBIA Pune Team

C-BIA: Empowering Women in Tech!

Q: How to create a committed team in one of the most competitive of tech cities? A: Recruit talented women returning to work, adapt to their needs and support their career goals! Our Pune, India office focuses on advanced Data Analytics. It is here we are building our INSIGHT platform. This is a ‘On Demand’
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Exponential Medicine

An introduction to Data & Machine Learning in Healthcare

Recorded a few years ago at Exponential Medicine 2016 by the founder of AIMed, Dr. Anthony Chang, MD, MBA MPH. It is still a great introduction to the opportunities and challenges of making better use of data and adopting AI in Healthcare. We are proud to be a part of the AIMed community in the
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The Spanish Edge

Spanish Healthcare system leads Europe on Outcomes & Data?

The Spanish edge: Reinventing healthcare around patients Spain is widely regarded as having one of the world’s best healthcare systems. Can a series of experiments in ‘value-based’ care make it even better? Report of a Science|Business Healthy Measures conference, Barcelona 2018. “I’m not sure Spain excels in all areas of science, but in healthcare it
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Notes from the AI Medicine Trenches part 2 – data and apps

Notes from the AI Medicine Trenches. Part 2 – data and apps

This post was written by Brendan DUNPHY (CEO of C-BIA Consulting) and first published on AIMed The following are notes penned by an AIMed Europe conference attendee, who listened intently as Dr Anthony Chang and other experts in the field of medical artificial intelligence explained how the emerging paradigm of medical AI would be powered
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Can clinical data do the heavy lifting

Are clinicians ready for clinical data to do the heavy lifting?

An earlier version of this post was written by Brendan DUNPHY (CEO of C-BIA Consulting) and first published on AIMed Data, Data Everywhere but…… In much of Healthcare, clinical data are increasingly present but stranded – unloved, ephemeral and underused. Healthcare data do not carry the load of knowledge or routinely inform clinical decision-making. Data
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EHD Logo

C-BIA Consulting announces partnership with Energy House Digital

Putting customer data at the centre of our client’s business LONDON, 23rd April 2018 IT and digital channels have co-existed as separate platforms and activities in most businesses, each with a distinct focus, tools and data. As businesses become increasingly digital these activities and their respective data silos need to converge to generate actionable business
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The Inform, Illuminate, Inspire big data model

The Inform, Illuminate, Inspire model defines the 3 major phases all Big Data & Analytics projects follow to succesfully generate actionable business insights. It’s a useful starting point and emphasises that successful Big Data projects need to be well structured and highly iterative. The 3 phases of the model are: INFORM – identifying and integrating
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