A lengthy investigation into the European Union’s use of Microsoft 365 has found the Commission breached the bloc’s data protection rules through its use of the cloud-based productivity software.
Announcing its decision in a press release today, the European Data Protection Supervisor (EDPS) said the Commission infringed “several key data protection rules when using Microsoft 365”.
The regulator, which oversees’ EU institutions’ compliance with data protection rules, opened a probe of the Commission’s use of Microsoft 365 and other US cloud services back in May 2021.
Yet use of Microsoft 365 routinely results in data flowing back to Microsoft’s servers in the US.
Over the last few years, Microsoft has responded to amped up EU regulatory risk attached to data transfers by expanding a data localization effort focused on regional cloud customers — in an infrastructure it’s branded the “EU Data Boundary for the Microsoft Cloud”.
In fact, an April 2023 Arize survey found that 53% of respondents planned to deploy LLMs within the next year or sooner.
The H100 GPU from Nvidia, a popular choice for LLMs, has been selling on the secondary market for about $40,000 per chip.
One source estimated it would take roughly 6,000 chips to train an LLM comparable to ChatGPT-3.5.
That source estimated that the power consumption to run ChatGPT-3.5 is about 1 GWh a day, or the combined daily energy usage of 33,000 households.
Power consumption can also be a potential pitfall for user experience when running LLMs on portable devices.
OpenAI plans to launch a store for GPTs, custom apps based on its text-generating AI models (e.g.
In an email viewed by TechCrunch, OpenAI said that developers building GPTs will have to review the company’s updated usage policies and GPT brand guidelines to ensure that their GPTs are compliant before they’re eligible for listing in the store — aptly called the GPT Store.
GPTs don’t require coding experience and can be as simple or complex as a developer wishes.
GPT Store launching next week – OpenAI pic.twitter.com/I6mkZKtgZG — Manish Singh (@refsrc) January 4, 2024Developers can simply type the capabilities they want their GPT to offer in plain language and OpenAI’s GPT-building tool, GPT Builder, will attempt to make an AI-powered chatbot to perform those.
Since shortly after DevDay, developers have been able to make and share GPTs with others via the ChatGPT website directly but not publicly list them.
It’s becoming increasingly clear that businesses of all sizes and across all sectors can benefit from generative AI.
McKinsey estimates generative AI will add $2.6 trillion to $4.4 trillion annually across numerous industries.
That’s just one reason why over 80% of enterprises will be working with generative AI models, APIs, or applications by 2026.
However, simply adopting generative AI doesn’t guarantee success.
However, only 17% of businesses are addressing generative AI risks, which leaves them vulnerable.
