Operating at the Intersection of Technology and the Capital Markets
Tag: Natural Language Processing
Think of Generative AI as an Advanced Automation tool that may be deployed widely across the Enterprise. The only limitations are the underlying data sets used to train the AI models and human imagination. If used optimally, Generative AI could help companies gain insights that could strengthen existing competitive advantages and identify new ones. Where … Continue reading Generative AI’s Secret Sauce: Data
We have over 100 AI-related articles. Here are our top AI-focused articles. They cover all elements of AI including many companies that play in different corners of AI. Reach out to us with any questions at jmaietta@tek2day.com AI Is Nothing New, Yet We Are Only Scratching The Surface Build Your Own NLP Front-End AI-Powered Convenience … Continue reading All Things AI
Last month I wrote that in order for ChatGPT and Google Bard to reach their full potential, the respective underlying LLMs would need to be trained with industry-specific data from companies such as Bloomberg, IHS/S&P Global, Cerner/Oracle, etc. Those companies ought to be compensated for granting access to ChatGPT and Google Bard (Google has since … Continue reading Build Your Own NLP Front-End
Google has been the AI King since its founding (we first dubbed it the "AI King" in May 2019). It is good to see Google get a bit of AI recognition on the heels of Google I/O this week. The AI King: Between Google Search, Chrome, Google Photos, Google Maps, Google Translate, Google Live Caption, … Continue reading Google Remains The AI King
AI-powered convenience was the takeaway from this year's Google I/O conference. When we use "AI" in this context we are speaking of Google's Natural Language capabilities that leverage the company's Large Language Models (LLMs). These models (Bard for example is built upon an LLM-based platform), enable users to engage with their devices using natural language … Continue reading AI-Powered Convenience at Google I/O ’23
We played with Google's conversational AI platform - Bard. Generally speaking, Bard's responses were fast and accurate, albeit high-level. Bard exceeded my expectations on the accuracy front. Speed was never an issue from my perspective. We posed a question to Google's Bard. The AI's response (below), did a fine job of covering the high level … Continue reading We Used Google’s Conversational AI Platform – Bard
Back in March 2019 we wrote about the future use of NLP-powered applications across various industries - in particular Financial Services (our 2019 TEK2day article HERE). Microsoft (MSFT) is bringing natural language capability to its Productivity suite - Microsoft 365. This natural language offering has a name: "Copilot". We include an example of Copilot deployed … Continue reading NLP & Productivity Apps: Microsoft Copilot
I don't have first hand knowledge of how J.P. Morgan's PMs, Analysts, Traders and Investment Bankers may be using ChatGPT. However, there are a couple of inherent challenges as I see it: 1.) ChatGPT's knowledge repository is limited to the data sets it has access to. For example, if a Fixed Income PM runs a … Continue reading J.P. Morgan Limits Internal Use of ChatGPT
I've long argued that Google is the AI King. Here's Why. Mobile. There are only 2 mobile operating systems that matter: Android (72% share) and iOS (28%) share. Therefore, when users interact with their phones through voice, they are primarily using Google's natural language AI (Google Assistant) or Apple's natural language AI (Siri). Nowhere to … Continue reading Putting AI In Perspective
Irrational valuations still exist, especially in the private market thanks to more than a decade of easy Fed policy. 2023 will be the year that venture firms write down portfolio valuations if they have not done so already. We wrote about OpenAI's natural language offering - ChatGPT - last week. For what it's worth, OpenAI … Continue reading OpenAI’s Rich Valuation
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