Tag: machine learning

NLP & Productivity Apps: Microsoft Copilot

NLP & Productivity Apps: Microsoft Copilot

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

Random Thoughts On Google

Random Thoughts On Google

Some random thoughts on Google.. Google has an IR problem. For a company that grew constant currency revenues by 7% in the December quarter GOOGL shares ought to be trading higher. It's clear that investors don't fully understand the story. Google can simplify the story with a smarter IR effort. If the cloud around Google … Continue reading Random Thoughts On Google

J.P. Morgan Limits Internal Use of ChatGPT

J.P. Morgan Limits Internal Use of ChatGPT

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

Putting AI In Perspective

Putting AI In Perspective

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

Run For The Exit!

Run For The Exit!

Run for Alphabet's exit door! Beta Bard flubbed a query! Today's emotional reaction to the Beta version of Google's natural language AI platform - Bard - says more about the reactionary nature of today's unsophisticated, mile wide, inch-deep institutional investor class. My guess is that fewer than 5% have more than a surface-level understanding of … Continue reading Run For The Exit!

From Instagram To Artifact

From Instagram To Artifact

Here's Kevin Systrom's new company - Artifact - an AI-powered news feed (HERE). Recall that Systrom was one of Instagram's co-founders. It will be interesting to see how well Artifact executes versus Google News and Apple News. I signed up for Artifact and will test over the next few weeks. Artifact is available on Google … Continue reading From Instagram To Artifact

OpenAI’s Rich Valuation

OpenAI’s Rich Valuation

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

ChatGPT Fun: From Jobs To Kubrick & More

ChatGPT Fun: From Jobs To Kubrick & More

More fun running Chat GPT queries (read this particular article in landscape mode to get the best viewing experience). We cover Steve Jobs, Stanley Kubrick, effective CEOs and wine pairings for roasted duck using OpenAI's ChatGPT natural language platform. Source: https://chat.openai.com/chat

OpenAI’s ChatGPT – Amazing

OpenAI’s ChatGPT – Amazing

OpenAI is one of the more interesting AI companies. We learned of it years ago (circa 2014), before we launched our Identity Hub offering for the P&C insurance industry. We played with OpenAI's chatbot - ChatGPT - a moment ago. Here is what we found.. What is ChatGPT? ChatGPT is a natural language chatbot that … Continue reading OpenAI’s ChatGPT – Amazing

What Does It Mean For Meta To Decentralize AI?

What Does It Mean For Meta To Decentralize AI?

In short, greater revenue potential, greater accountability and greater risk of expense overruns: Greater revenue potential: These AI investments will likely focus on driving product usage as well as tracking and predicting user behavior for both new and existing products. Better products mean more usage, more usage typically means more Ad revenue for advertising revenue-driven … Continue reading What Does It Mean For Meta To Decentralize AI?