Sat.Mar 12, 2016 - Fri.Mar 18, 2016

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ICO releases 12 step guide on the GDPR

Privacy and Cybersecurity Law

On Monday this week the UK Information Commissioner’s Office released its first guidance on the General Data Protection Regulation (GDPR): […].

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ICO Issues Twelve Step Guidance on Preparing for the EU General Data Protection Regulation

Hunton Privacy

On March 14, 2016, the UK Information Commissioner’s Office (“ICO”) published a guide, Preparing for the General Data Protection Regulation (GDPR) – 12 Steps to Take Now. The guide, which is a high-level checklist with accompanying commentary, sets out a number of points that should inform organizations’ data privacy and governance programs ahead of the anticipated mid-2018 entry into force of the GDPR.

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Hunton Webinar on the EU General Data Protection Regulation

Hunton Privacy

On March 9, 2016, Hunton & Williams LLP hosted a webinar regarding the impact of the EU General Data Protection Regulation (“GDPR”) on global companies. Partner Aaron Simpson moderated the session, and speakers included partner and head of the Global Privacy and Cybersecurity practice Lisa Sotto and partner Wim Nauwelaerts. Together, they explored the key components of the GDPR and discussed a roadmap toward compliance.

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CIPL Launches Project at Amsterdam Workshop on EU General Data Protection Regulation Implementation

Hunton Privacy

On March 16, 2016, the Centre for Information Policy Leadership (“CIPL”) at Hunton & Williams LLP will co-host a one-day workshop in Amsterdam, Netherlands, together with the Dutch Ministry of Security and Justice, to kick off a new long-term CIPL project on the implementation of the EU General Data Protection Regulation (“GDPR”). Under the title “ Towards a Successful and Consistent Implementation of the GDPR ,” the workshop will focus on GDPR issues that require further interpretation and

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Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications

Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage

Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.