How to Build a Data Foundation for Generative AI

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Since late 2022, generative AI has quickly demonstrated its value and potential to help businesses of all sizes innovate faster. By generating new media from prompts, generative AI stands to become a powerful productivity aid, multiplying the effect of creative and intellectual work of all kinds. According to Gartner, 55 percent of organizations have plans to use generative AI and 78 percent of executives believe the benefits of AI adoption outweigh the risks.

The world will be transformed by AI-assisted medicine, education, scientific research, law, and more. Researchers at the University of Toronto use generative AI to model proteins that don’t exist in nature. Similarly, pharmaceutical giant Bayer now uses generative AI to accelerate the process of drug discovery. Education provider Khan Academy has developed an AI chatbot/tutor, Khanmigo, to personalize learning. The list of examples across all industries only continues to grow.

Protecting Privacy in the Age of Edge AI: The Role of Homomorphic Encryption

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The Urgency of Data Privacy in a Connected World

Recent years have witnessed a mounting concern about data privacy, and these concerns are not unfounded. In a world where connectivity is ubiquitous, the statistics paint a compelling picture. According to a report by Cisco, the number of connected devices worldwide is projected to reach a staggering 29.3 billion by 2023. This exponential growth for the Internet of Things (IoT) devices underscores the urgent need for robust privacy measures.

Furthermore, a survey conducted by the Pew Research Center has revealed that a significant 79% of Americans express concern about the way their data is being utilized by companies. This growing awareness among users regarding their digital privacy signifies a shifting paradigm where individuals are increasingly vigilant about safeguarding their personal information.