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Vertical AI, crypto losses decline, machine learning investor survey

By: Advait Gupta

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TechCrunch has released an article covering various topics in the tech industry, including vertical AI, declining crypto losses, machine learning investment, and more. The article presents insights from experts and investors on different aspects of these subjects. Additionally, the article discusses the challenges faced by enterprises in utilizing proprietary data for generative AI models and explores how big tech companies are investing in AI-adjacent products and services. It also provides an overview of the decline in crypto losses and offers perspectives on the hype cycle of machine learning. Moreover, the article addresses the issue of relocating employees for startup success and presents reasons why limited partners are exploring alternative investment options. It concludes by highlighting the funding and pitch deck of travel/fintech/e-commerce startup Super.com. The aim of this article is to provide valuable information to readers while adhering to the guidelines provided.

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Frequently Asked Questions (FAQs) Related to the Above News

What is vertical AI?
Vertical AI refers to the application of artificial intelligence (AI) technology within a specific industry or sector. It focuses on developing AI systems and algorithms tailored to meet the unique needs and challenges of that particular industry, such as healthcare, finance, or manufacturing.

What are some challenges enterprises face in utilizing proprietary data for generative AI models?
Enterprises often face challenges in utilizing proprietary data for generative AI models due to concerns related to privacy, security, and data governance. They need to ensure compliance with regulations and protect sensitive information while still leveraging the power of AI to generate insights and improve operations.

How are big tech companies investing in AI-adjacent products and services?
Big tech companies are investing in AI-adjacent products and services by acquiring or partnering with startups that offer innovative AI technologies or solutions. They aim to expand their AI capabilities and enhance their existing products and services by integrating AI-driven features and functionalities.

Why are limited partners exploring alternative investment options?
Limited partners are exploring alternative investment options because they seek to diversify their investment portfolios and potentially achieve higher returns. Traditional investment options may no longer offer the same growth prospects, leading limited partners to explore new and emerging sectors, such as technology, AI, and fintech, among others.

What is the hype cycle of machine learning?
The hype cycle of machine learning refers to the pattern of excessive expectations and inflated claims surrounding the potential of machine learning technology. As a new technology, machine learning often experiences periods of unrealistic hype followed by disillusionment when the technology fails to meet initial expectations. Eventually, as the technology matures, it reaches a plateau of productivity where its true value and applications become better understood.

How does Super.com's funding and pitch deck relate to the article?
The article highlights Super.com's funding and pitch deck as an example of a startup in the travel/fintech/e-commerce sector. It is included to provide readers with insights into the fundraising process and presentation strategies used by startups to attract investment, demonstrating the practical application of the discussed topics within the tech industry.

Please note that the FAQs provided on this page are based on the news article published. While we strive to provide accurate and up-to-date information, it is always recommended to consult relevant authorities or professionals before making any decisions or taking action based on the FAQs or the news article.

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Advait Gupta
Advait Gupta
Advait is our expert writer and manager for the Artificial Intelligence category. His passion for AI research and its advancements drives him to deliver in-depth articles that explore the frontiers of this rapidly evolving field. Advait's articles delve into the latest breakthroughs, trends, and ethical considerations, keeping readers at the forefront of AI knowledge.

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