Bitcoin pioneer Charlie Shrem peels back the layers on the lives and backgrounds of the world's most impactful innovators. Centering around intimate narratives, Shrem uncovers a detailed, previously unspoken story of the genesis and evolution of bitcoin, cryptocurrency, artificial intelligence, and the web3 movements. Join Shrem as he journeys through the uncharted territories of tech revolutions, revealing the human side of the stories that shaped the digital world we live in today.
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Contenido proporcionado por Dr. Adam Gower. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente Dr. Adam Gower o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.player.fm/legal.
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AI's massive first mover advantage
MP3•Episodio en casa
Manage episode 428066350 series 1374358
Contenido proporcionado por Dr. Adam Gower. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente Dr. Adam Gower o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.player.fm/legal.
What a pleasure it was to speak with L.D. Salmanson, Co-founder and CEO of Cherre, for this week’s podcast. Cherre is dramatically transforming real estate investment and management by leveraging cutting-edge data science and AI to consolidate massive amounts of data (including users’ own data – it’s NOT easy to do but Cherre have done it), so they can find opportunities across all aspects of their operations in seconds. L.D.’s use case examples are crazy: ‘I am looking for this kind of asset, with these exact demographics, with these kinds of tax breaks, in this type of market’ – and boom! out comes a selection for you to look at. You won’t believe what Cherre can do and, if you are anything like me, you’ll want to set up an account as soon as you finish listening! Alas, however, the tool is only being used currently by some of the top institutional investors but, L.D. assures me, making it available for mere mortals like thee and me is on their horizon. Spend a few minutes tuning in to hear one of the foremost leaders in moving real estate into the future in this episode with L.D. Salmanson. Cherre's core functions:
…
continue reading
- Building detailed asset models to reduce expenses while increases revenues.
- Creating sensitivity tables so investors can identify optimal investment (or divestment) strategies.
- Connecting disparate data with advanced tools to detect anomalies and find opportunities.
- Advanced Tools: Data retrieval, integrity, conversational bots, GPT Omni model for omni-channel interactions.
- AI Capabilities: Vision, voice, text interpretation; future potential for smell interpretation.
- Platform Functions: Builds asset models, sensitivity tables; connects disparate data using entity resolution engines, knowledge graphs, machine learning, AI to detect anomalies.
- Data Processing & Visualization: Uses Snowflake, Google, Microsoft, Power Bi, Click, Tableau.
- Technological Highlights: Autoregressive models, attention mechanisms, large language models (LLMs) in natural language processing.
- AI is set to revolutionize real estate similarly to how it transformed financial services, automating intermediary processes and enhancing decision-making. Those who adapt early will gain significant advantages, while late adopters risk falling behind.
- I use GPT Omni extensively for preparing weekly company presentations, reducing preparation time from 8-10 hours to 2-3 hours. I also use Claude for interactive idea discussions and refining presentation content .
- An easy win is building asset models with AI. By inputting an assumptions table into a model, AI can populate the inputs and create sensitivity tables, reducing manual errors and saving significant time.
71 episodios
MP3•Episodio en casa
Manage episode 428066350 series 1374358
Contenido proporcionado por Dr. Adam Gower. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente Dr. Adam Gower o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.player.fm/legal.
What a pleasure it was to speak with L.D. Salmanson, Co-founder and CEO of Cherre, for this week’s podcast. Cherre is dramatically transforming real estate investment and management by leveraging cutting-edge data science and AI to consolidate massive amounts of data (including users’ own data – it’s NOT easy to do but Cherre have done it), so they can find opportunities across all aspects of their operations in seconds. L.D.’s use case examples are crazy: ‘I am looking for this kind of asset, with these exact demographics, with these kinds of tax breaks, in this type of market’ – and boom! out comes a selection for you to look at. You won’t believe what Cherre can do and, if you are anything like me, you’ll want to set up an account as soon as you finish listening! Alas, however, the tool is only being used currently by some of the top institutional investors but, L.D. assures me, making it available for mere mortals like thee and me is on their horizon. Spend a few minutes tuning in to hear one of the foremost leaders in moving real estate into the future in this episode with L.D. Salmanson. Cherre's core functions:
…
continue reading
- Building detailed asset models to reduce expenses while increases revenues.
- Creating sensitivity tables so investors can identify optimal investment (or divestment) strategies.
- Connecting disparate data with advanced tools to detect anomalies and find opportunities.
- Advanced Tools: Data retrieval, integrity, conversational bots, GPT Omni model for omni-channel interactions.
- AI Capabilities: Vision, voice, text interpretation; future potential for smell interpretation.
- Platform Functions: Builds asset models, sensitivity tables; connects disparate data using entity resolution engines, knowledge graphs, machine learning, AI to detect anomalies.
- Data Processing & Visualization: Uses Snowflake, Google, Microsoft, Power Bi, Click, Tableau.
- Technological Highlights: Autoregressive models, attention mechanisms, large language models (LLMs) in natural language processing.
- AI is set to revolutionize real estate similarly to how it transformed financial services, automating intermediary processes and enhancing decision-making. Those who adapt early will gain significant advantages, while late adopters risk falling behind.
- I use GPT Omni extensively for preparing weekly company presentations, reducing preparation time from 8-10 hours to 2-3 hours. I also use Claude for interactive idea discussions and refining presentation content .
- An easy win is building asset models with AI. By inputting an assumptions table into a model, AI can populate the inputs and create sensitivity tables, reducing manual errors and saving significant time.
71 episodios
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