Insights at the intersection of AI, privacy, and industry innovations
What's ahead in this newsletter:
Learning Hub
News from Apheris
Federated Minds guest section
Industry Round-up
Enjoy reading!
Learning Hub
Embark on a journey to demystify the regulatory landscape
If you or your team works with sensitive data, prepare to transform into regulatory ninjas. Explore our latest infographic, which sheds light on the regulatory landscape, from the nuances of GDPR to the intricacies of AI regulation. It’s not your typical yawn-inducing chart, I promise! Think of it as your secret map through the treacherous terrain of AI regulation and data protection law.
Get ready to:
How Apheris revolutionizes the analysis of industrial documents
In the digital age, the way we handle industrial documents like tenders, contracts, or product sheets is about to get an upgrade. Enter OpenFlaaS, a framework designed for automated, decentralized analysis of documents. Imagine digitizing corporate knowledge not just efficiently, but also with ironclad security. That's what OpenFlaaS is all about! With our amazing partners, we’re developing cutting-edge NLP (Natural Language Processing) use cases that allow for continual learning directly on edge devices – like an ever-evolving, self-updating AI model that doesn’t need a data scientist to hold its hand.
News from Apheris
Introducing the Apheris Trust Center: A game-changer in data security
Big news! We've launched the Apheris Trust Center – besides showcasing you our certifications like ISO 27001 and SOC 2, it’s also your treasure trove of security and privacy best practices and insights
Spotlight on: Apheris named a rising star by Sifted
Sifted has recognized Apheris as one of the industry's rising stars! This is a huge nod to our efforts in reshaping the landscape of secure and governed ML on sensitive data.
In their latest briefing, Sifted delves into the dynamic world of AI, highlighting key trends and insights, including:
Being selected alongside other notable names like Sarus, Intelligent AI Limited, and Abzu, is a testament to our commitment to innovation and excellence in the field.
领英推荐
Apheris included in Albion VC's European Healthcare Market Map 2023
We’ve been featured in Albion VC’s European Health Tech Market Map 2023! It provides insights into where the industry is headed, highlights key areas of growth, and identifies the trailblazers leading the charge in leveraging AI and other technologies for health advancements.
Federated Minds guest section: all about GDPR
Meet Inken Hagestedt, Privacy Expert at Apheris.
It’s a pleasure for me to introduce you to our one and only Inken! Having been with us for a whopping 3 years and 8 months, she's not just part of the furniture; she's one of the building blocks of our team.
Now, let’s talk smarts. Inken is not just any expert; she’s a privacy virtuoso with a PhD from Saarland University. She spent years deciphering the Da Vinci Code of data privacy, especially for biomedical data during her work at the CISPA Helmholtz Center for Information Security.
So, when she talks about GDPR and data privacy, you know it's time to sit up and listen.
"Understanding and navigating GDPR regulation is a critical aspect for any Data Custodian and Processor, whether established within the European Union or engaging with EU data subjects from outside the EU.
A core mandate of GDPR is the protection of personal data and the prevention of data breaches. But what does that mean for your data and use case?
To safely use your sensitive data for ML, we leverage a federated infrastructure and strong additional security, privacy, and governance features, enhancing data protection and compliance. The federated learning core sends algorithms to the data, not the other way around, such that sensitive data never has to leave its owner’s IT environment.
However, the intermediate or final computation results that leave the owners' IT environments during federated learning could still leak information about the data.
Privacy research formalizes these leaks and offers solutions to some of them, but who has time to read through all these research papers? And which solutions only exist in research papers and which ones are already implemented and ready to use?
I summarized the complex research in our Trust Center to help Data Custodians understand risks and possible mitigation strategies. ML specialists might also want to check it out to learn about further considerations on the security of a ML model being used for inference.
We at Apheris want to ensure you're well-informed and equipped to meet your data protection challenges. The Trust Center provides you with a comprehensive summary of data protection research, practical solutions and insights tailored to data custodians and ML specialists, guiding you in the safe use of ML within the robust framework of GDPR compliance."
Industry Round-up
ChatGPT generates fake data set to support scientific hypothesis
Nurture recently published an article about a study that demonstrated the potential of AI technology, specifically the GPT-4 model, to create highly convincing but entirely fabricated clinical trial data. In this study, researchers utilized GPT-4 to generate a false database comparing two surgical procedures for an eye condition. The AI's capabilities were such that it misleadingly indicated one procedure as being superior to the other. When examined closer by specialists, the false data could be detected as such. But in an AI-era ensuring authenticity and honesty of research data is a critical challenge.
A first step towards regulating artificial intelligence in Europe
Germany, France, and Italy have agreed on a framework for regulating artificial intelligence (AI), focusing on the application of AI rather than the technology itself. This joint agreement, as reported by Reuters, emphasizes the need for model cards, which provide crucial information about the functioning, capabilities, and limitations of AI models. The proposal suggests the formation of an AI governance body to develop guidelines and oversee the use of these model cards, without initially imposing sanctions.
Why life sciences companies should embrace AI
The AI market is witnessing exponential growth. IBM's Global AI Adoption Index reports that 35% of companies are now utilizing AI, and Statista forecasts the global AI software market to reach $22.6 billion by 2025. This growth trajectory parallels the transformative impact once seen with smartphones, suggesting AI could be the next major technological shift.
In life sciences, the potential and growth of AI are particularly notable. The market, valued at $2.3 billion in 2023, is projected to reach $7.09 billion by 2028. This growth is driven by significant interest from pharmaceutical companies, half of which have engaged in partnerships with AI firms. These collaborations aim to harness AI for developing more effective drugs, enhancing surgical procedures, and improving patient care.
However, the integration of AI in life sciences is not without challenges. To better understand the sector’s perspective on AI, Definitive Healthcare conducted a survey and interviews with 85 leaders in the life sciences industry in July 2023.
That wraps up our newsletter for this month. The way you handle data privacy and security is crucial. It can mean the difference between creating a world of technological advancement and progress, or one of uncertainty and risk. Make your choices count.
Wishing you all a Merry Christmas and see you next year,
Marie