Article
Governed, secure, and private computational access to federated patient data is revolutionizing healthcare AI
MedTech AI revolution depends on computational access to fine-grained patient data to train enhanced ML models. Apheris provides governed, secure, and private computational access to data for ML, enabling fast and easy FDA approval for new MedTech data products.
Marie Roehm
Article
The Rise of Federated Learning
Companies are benefiting from federated learning by being able to access data without the costs, privacy and IP risks associated with copying or centralizing data.
Kathryn Lye
Article
Delivering maximum social benefit from artificial intelligence (AI): Leveraging its capabilities responsibly
AI safety is not a future problem to solve, it’s a real problem right now. In this blog I'll explain the challenges we face as a society in developing and using AI, and propose some operating principles to help us leverage AI for social good.
Britta Srivas
Publication
AI regulation: Why it needs to come sooner rather than later
"As AI adoption gathers momentum, it is essential we get in front of this generational technology and regulate it in a way that works for everyone – before it is too late."
Robin Röhm
Article
Understanding the Opportunities: Federated Learning and Consumer Data
In this blog we will explore the ways in which industries, including those reliant on consumer data, can use federated learning as an effective alternative to data sharing.
Article
Challenges with implementing federated learning
Explore some of the common challenges organizations face when implementing federated learning and key considerations that can help them overcome those challenges and reap the rewards of working with federated data.
Kathryn Lye
Article
Celebrating women's contribution to STEM fields
11 February is the International Day of Women and Girls in Science. We interview Evelyn, Data Science Experience Lead at Apheris, and give you an insight into the life of a successful woman in science.
Marie Roehm
Article
The Collaborative Potential of Federated Machine Learning
There are incredible opportunities to be seized through federated machine learning across many industries. While some early innovators have recognized the potential, many have yet to seize the opportunity before them.
Article
Unlock unprecedented collaboration potential
Following its 77th session, the UN General Assembly championed collaboration as the cement that could strengthen individuals, organizations, and industries against both current and future challenges. Read on to find out how.
News
Apheris achieves top information security certification, ISO 27001
Certification highlights our mission and focus on best practices for federated machine learning and analytics, enabling organizations to securely build and operationalize machine learning and data applications across boundaries.
Kathryn Lye
Article
The Secret to Collaborative Data Ecosystem Success
Data is widely considered to be the lifeblood of modern organizations, but it’s only as valuable as the insights that can be mined from it. A collaborative data ecosystem helps organizations come together to mine much-needed insights.
Article
The big data opportunities: manufacturing
In order to rise above today’s challenges, manufacturers need to come together, pool their collective assets and insights, and create modern solutions to modern problems.
Article
A time to reflect and look forward
As we near the end of the year we take a look at key themes from 2022 and what to expect in 2023. Here are our top predictions for the year ahead.
Article
How data collaboration is changing the world
More businesses are waking up to the value of data and the necessity of data collaboration in harnessing its power.
Marie Roehm
Article
Data collaboration vs data sharing
It's often assumed that data sharing is required in order to derive value from data held across multiple organizations in a value chain. However, data sharing comes with challenges. Working with federated data, however, addresses these challenges and allows for better collaboration across organizational boundaries.
Kathryn Lye
News
Apheris raises €8.7m to power development of smarter AI and collaboratively solve the world’s biggest challenges
Seed extension round led by Octopus Ventures to drive growth of platform enabling organizations to unlock terabytes of valuable data risk-free
Kathryn Lye
News
Apheris launches platform to unlock data and enable collaboration to solve the world’s biggest problems
The Apheris Platform enables multiple organisations to extract value from each other’s decentralised data sets and overcome regulatory, technical, and commercial challenges.
Kathryn Lye
Article
7 Myths About Federated Learning
In our daily work as a company that builds a platform for federated and privacy-preserving data science, we are often asked to clarify concepts around federated learning with customers. This article highlights 7 common myths about federated learning (FL) and, using practical examples, shows you exactly why they are misleading.
Marie Roehm
Article
The Three Adoption Stages of Privacy-enhancing Technologies (And Why We Are Stuck on Level Two)
PETs are massively changing how we operate, and how we have to think about the data and AI landscape. Introducing such a game-changer into large enterprises has to be done with the highest precision, and a lot of foresight.
Marie Roehm
News
The State of Data Collaboration – why we are asking for your help
Participate in our survey and shape the future of Data Collaboration.
For a completed survey you will recieve a report that will help to benchmark yourself and your company on your collaborative ecosystem efforts.
Kathryn Lye
Article
7 Value Drivers of Complementary Data - Your Path to Unlocking the Benefits of Federated Data
There is only value in data if it can be used, and if there is appropriate access to that data when it is needed. Learn how you can turn decentralized, federated data into a complementary strategic data asset.
Marie Roehm
Article
The Five Qualities of Collaborative Data Ecosystems
Over the past decade, organizations have focused heavily on implementing the culture, tools, and processes to create value from data with data science and machine learning within the enterprise. But this transformation doesn't intend to stop at corporate boundaries. Read the article to find out more
Kathryn Lye
Article
What Are Collaborative Data Ecosystems?
Enterprises across industries are realizing that collaboration on data, machine learning and data science is the key to solving the biggest challenges of our time. This leads to a massive rise of collaborative data ecosystems around the globe. Read more if you want to know what collaborative data ecosystems are
Kathryn Lye
Article
The Future of Data Products – 6 Industry Trends For Frontrunners
If you’ve been successful to date with building industry-leading data products, you don’t want to rest on your laurels. Instead, you should be trying to extend your lead. However, this can be daunting task in an industry that is in constant flux as the data, machine learning and AI landscape.