Breaking down the latest developments in AI with two experts — Jasper Masemann, investment partner at Cherry Ventures, and Lutz Finger, a visiting senior lecturer at Cornell University's SC Johnson College of Business and President of Product and Development at Marpai, Inc.
For the first time ever, Lutz Finger, venture partner at Cherry Ventures, hosted a live founder coaching session for three pioneering startups looking to revolutionise neurological care with artificial intelligence (AI). Taking place at Cornell Tech, a graduate school and research center based in New York City, the session brought together three pre-seed stage startups for a unique coaching experience focusing on AI, data analytics, and entrepreneurship. Zenith, led by Shang, is developing an AI-first operating system to optimize treatment protocols and reduce costs, particularly in expensive therapeutic settings. Vince Hartman, co-founder and CEO of Abstractive Health, discussed solving physician burnout by creating real-time summary of patients’ medical records using AI. Neuralenz, presented by its founder Oybeck, focuses on non-invasive methods to measure brain health, potentially revolutionizing neurocritical care by avoiding invasive procedures. The founder coaching featured discussions on how advanced AI and data analytics are being integrated into new healthcare solutions, aiming to improve patient care and reduce costs. In this article, we outline three key tips for startups on their AI journey, using the experiences of these startups as actionable examples.
Podcast: The Edge by Cherry Ventures Episode: Season 2 Episode 3 Welcome back to another episode of The Edge by Cherry Ventures, a new seasonal podcast rebranding ourselves as we discuss new, edgy topics about the future and AI. We’re joined today by Lutz Finger and Jasper for a live and uncut conversation. To begin, Lutz and Jasper outline their approach to understanding AI, breaking it down into six key areas. They categorize AI's impact into two main types: evolutionary and revolutionary. Evolutionary AI improves existing workflows and everyday processes, while revolutionary AI introduces entirely new ways of doing things. Evolution begins with the concept of augmentation, where AI enhances daily tasks by simplifying repetitive workflows. Examples include using AI to automate booking processes, manage vacation requests, and streamline various administrative tasks. Though AI will replace some jobs, it will also create new opportunities and more efficient workflows. This shift necessitates adaptation and retraining for those affected. The value created by AI often benefits company owners and investors, highlighting the need for a fair distribution of these benefits. AI (specifically large language models) has the ability to make everyone smarter by improving information retrieval. While AI enhances information access, human oversight remains essential to ensure the accuracy and relevance of the retrieved data. The conversation then turns to potential business models that could emerge from AI evolution. One significant area is the replacement of traditional search engines like Google. Professions like auditing, tax advising, and engineering, where professionals occasionally need to reference large volumes of documents, can benefit greatly from AI's ability to quickly and accurately retrieve relevant information. Lutz and Jasper also highlight the complexities of ensuring data security and quality, particularly for large enterprises. Then, the conversation shifts to discuss the revolutionary potential of AI. First, future AI bots in providing personalized assistance and advice while acting as real sales consultants. AI could also streamline clunky, complicated interfaces by showing only the buttons and features relevant to the user’s current task, based on historical usage patterns and user personas. Ai-generated content is the next step for social media, too. Finally, new processing power could open up an entirely new suite of applications to improve decision making. Links: Learn more about Cherry Ventures: www.cherry.vc
Artificial Intelligence (AI) has been a buzzword for decades, yet we find ourselves in a new wave of AI hype, one that holds a genuine promise to reshape how we live and work. What sets this era apart? While it might seem like nothing much has changed, there’s both a technical evolution and a shift in accessibility that are driving the current shift.
Sounding intelligent doesn’t equate to actual intelligence. This is a challenge with generative AI. While LLMs might pass the Turing test, they don’t always possess factual knowledge. In this episode, we’re delving deeper into how startups and enterprises can leverage generative AI effectively in our conversation Mike Dilinger, a leading expert in knowledge graphs (KGs). Think of a KG as a repository of facts—something LLMs often lack. Mike and Lutz explore how KGs are crucial for building successful business strategies using generative language models.