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Lauren Ingram bets big on AI in developing blockchain’s first killer app

Lauren Ingram bets big on AI in developing blockchain’s first killer app
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Women in Blockchain: A Special Evening of Networking and Insights

May 22, 2024, marked a significant evening for women in the blockchain and future tech space. The Women in Blockchain panel event, held alongside the London Blockchain Conference (LBC) 2024, brought together approximately 50 female professionals and entrepreneurs in the tech industry.

A Panel of Trailblazers

The event featured a panel moderated by Lavinia Osbourne of Women in Blockchain Talks, comprising Christine Leong of nChain, Divya Prashanth of JurnyOn, and Lauren Ingram of Women of Web3.

Lauren Ingram: A Pioneer in Women of Web3

After leaving Meta, Ingram founded Women of Web3 in 2022. With a newborn baby in tow, she sought to learn more about blockchain, NFTs, and tokenization to re-enter the tech industry. As she delved deeper into the subject, she realized the significant lack of women in this space.

Ingram shared, “The more I learned about things like NFTs and tokenization and blockchain and the metaverse, I thought, oh, this looks really interesting. Maybe there’s a career in this.” She recognized the opportunity to change the landscape and create a platform for women to thrive in the industry.

Breaking Down Barriers

Ingram emphasized the importance of moving beyond the buzzwords surrounding Web3 and blockchain. She believes that mainstream adoption will occur when people use these technologies without realizing it.

“It’s when people use it without realizing it, that’s the moment we realize it’s fully here,” Ingram said. She predicted that a killer application, likely involving AI, will drive widespread adoption and make blockchain an integral part of daily life.

The Role of AI in Blockchain

Ingram explained that AI is generating massive amounts of data, and blockchain provides a way to verify this information. She believes that once people understand the importance of data verification, they will recognize the value of blockchain in their daily lives.

Enterprise Blockchain: The Backbone of AI

In order for AI to thrive, it needs to integrate an enterprise blockchain system that ensures data input quality and ownership. This will guarantee the immutability of data and keep it safe. CoinGeek’s coverage of this emerging tech provides insight into why enterprise blockchain will be the backbone of AI.

The Power of Women in Blockchain

Ingram described the evening as “really special” and “amazing to have so many women in one space that are connected to blockchain or Web3 in some way.” She emphasized the unique energy that arises when women come together, often in the minority at events, and create a “wall of noise” that is hard to ignore.

Conclusion

The Women in Blockchain panel event brought together trailblazing women in the industry, highlighting the importance of networking and collaboration. Lauren Ingram’s story serves as a testament to the power of women in blockchain, and her vision for a more inclusive industry is inspiring. As the industry continues to evolve, it is crucial to recognize the role that women can play in shaping its future.

FAQs

Q: What is the significance of the Women in Blockchain panel event?
A: The event brought together women in the blockchain and future tech space, providing an opportunity for networking and collaboration.

Q: Who was the moderator of the panel?
A: Lavinia Osbourne of Women in Blockchain Talks moderated the panel.

Q: What is the mission of Women of Web3?
A: Women of Web3 aims to create a platform for women to thrive in the blockchain and Web3 industry.

Q: What is the role of AI in blockchain?
A: AI generates massive amounts of data, and blockchain provides a way to verify this information, ensuring data safety and immutability.

Q: What is the importance of enterprise blockchain in AI?
A: Enterprise blockchain is necessary for AI to thrive, as it ensures data input quality and ownership, guaranteeing the immutability of data and keeping it safe.

cryptoendevr

cryptoendevr

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