Apple’s Dilemma: Balancing Privacy and Safety Responsibilities
Harvard Business Review
FEBRUARY 13, 2024
How should Apple CEO Tim Cook manage the tension between iPhone customers’ privacy and public safety?
Harvard Business Review
FEBRUARY 13, 2024
How should Apple CEO Tim Cook manage the tension between iPhone customers’ privacy and public safety?
Tullio Siragusa
AUGUST 1, 2022
The Hyper-personalization Data and Privacy Debate?-?Solved. Tech Backstage interviewed Jacob Borgeson Director of Product Marketing at Wyng, to learn about data privacy, protection and hyper-personalization. Transforming Data Privacy. So, they focus on using and consuming data while protecting it and providing privacy.
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Brunner
JULY 12, 2023
And right now, there is heightened public awareness and scrutiny about data privacy and security concerns due to leading social media companies, like Facebook and TikTok, facing backlash on how they use and share personal data online. But staying educated on the latest privacy and security laws, rules and trends is paramount.
IdeaScale
DECEMBER 8, 2020
The post How Government Innovation and the Private Sector Cooperate to Protect Your Privacy appeared first on IdeaScale. Fortunately, citizens aren’t on their own dealing with the fallout: Government innovation and cooperation between government and private industry is helping to better secure our data. The … Continued.
Speaker: Phil Irvine, VP & Director of Audience Intelligence
When you couple that with fluid data privacy changes, this creates an even fuzzier foundation to develop forward-looking marketing strategies. Whether concerned about data privacy and data management, or curious about how businesses can rethink approaches to designing shopping experiences, the answers are here.
Brunner
SEPTEMBER 14, 2023
The OCR guidance aims to protect patient privacy by strictly enforcing the Health Insurance Portability and Accountability Act — widely known as HIPAA — when it pertains to tracking user activity. The post How Can Healthcare Marketers Navigate Reporting in a Post-OCR Guidance World that Aims to Protect Patient Privacy?
Harvard Business Review
JANUARY 26, 2024
There are three immediate challenges for companies that want to train fine-tuned AI models: 1) they require extensive, high-quality data — a scarce resource for many enterprises, 2) third-party AI models can include problematic biases, and 3) training fine-tuned models with users’ personal data may result in privacy violations.
Speaker: Shreya Rajpal, Co-Founder and CEO at Guardrails AI & Travis Addair, Co-Founder and CTO at Predibase
However, productionizing LLMs comes with a unique set of challenges such as model brittleness, total cost of ownership, data governance and privacy, and the need for consistent, accurate outputs. Large Language Models (LLMs) such as ChatGPT offer unprecedented potential for complex enterprise applications.
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