The new app is called watchGPT and as I tipped off already, it gives you access to ChatGPT from your Apple Watch. Now the $10,000 question (or more accurately the $3.99 question, as that is the one-time cost of the app) is why having ChatGPT on your wrist is remotely necessary, so let’s dive into what exactly the app can do.
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Neura converts mobile-location data into time and consumer attention

Location data has come a long way. From the early days of radius targeting, which is still happening, mobile-location and location history are now being used for sophisticated AI-driven personalization and customer engagement, increasingly without any reference to location at all.
Neura, which describes itself as “a leader in real-world customer intelligence,” announced it’s available as an app for Salesforce Marketing Cloud. I spoke with Amit Hammer, CEO of Neura, about the practical mechanics of what the company announced.
Converting location into consumer attention. Neura promises brand marketers that they will be able to use its Salesforce app to create customized audience segments and then market to them when they’re most receptive (via app notification, email or text) based on real-world activities and movement patterns. Neura’s data can also be combined with other insights in Salesforce to launch fully automated, personalized campaigns from within Marketing Cloud.
This sounds like the familiar “right message, right time, right place” refrain that has annoyingly appeared in so many mobile marketing presentations. But Hammer convincingly unpacked it for me.
Customer-journey builder incorporating behavioral “triggers” for personalized messaging

Hammer argued that app engagement is generally poor – Neura says notifications have average engagement rates below 8% – because messages are delivered at the wrong time, when users’ attention is not available (e.g., at work, sleeping, working out). He says that behavioral insights from offline movement patterns (and related customer inferences) are a much more reliable guide to customer openness to marketing messages.
This is the alchemical transformation of location data into attention-availability (i.e., time).
Agencies or in-house marketers handle all the creative. Neura’s system identifies when each person in each audience segment may be most open to the marketing message. Two “business travelers,” for example, may still have very different work-leisure schedules and corresponding attention patterns. Neura’s system can accommodate those differences. Users may receive the same messaging creative but potentially at very different times of day or days of the week.
SDK integration into enterprise mobile app. Neura works predominantly with mobile-first brands that have app-based audiences. If users don’t have the brand’s app it’s much tougher to gain these insights and the system doesn’t work as well — although there can be some lookalike modeling.
Neura’s enterprise/brand customers install the company’s SDK in their app. Then Neura starts building behavioral profiles of the brand’s audience from scratch.
Privacy is much less of an issue (or perhaps not an issue) here because this is permission-based first-party data. Neura is analyzing data on behalf of the brand, which has a direct relationship with its consumers. In addition, users must affirmatively opt-in to allow use of location.
The system doesn’t rely on pre-defined personas (e.g., working parent, business traveler) and then seek to find those people in the world, but creates customer personas and profiles based on their individual behaviors. As indicated, there is some lookalike modeling but Neura is more often delivering deterministic data.
Why marketers should care. Location is a critical source of data signals about customers. In many cases, offline activities are much more reliable indicators or predictors of preferences, identity, and intent than online signals. However, all of this must be handled transparently.
But when location is ethically and reliably sourced, it can be the cornerstone of relevance and personalized marketing efforts. And the combination of this data with machine learning technology does bring us much closer to – dare I say it – one-to-one marketing.
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We asked ChatGPT what will be Google (GOOG) stock price for 2030

Investors who have invested in Alphabet Inc. (NASDAQ: GOOG) stock have reaped significant benefits from the company’s robust financial performance over the last five years. Google’s dominance in the online advertising market has been a key driver of the company’s consistent revenue growth and impressive profit margins.
In addition, Google has expanded its operations into related fields such as cloud computing and artificial intelligence. These areas show great promise as future growth drivers, making them increasingly attractive to investors. Notably, Alphabet’s stock price has been rising due to investor interest in the company’s recent initiatives in the fast-developing field of artificial intelligence (AI), adding generative AI features to Gmail and Google Docs.
However, when it comes to predicting the future pricing of a corporation like Google, there are many factors to consider. With this in mind, Finbold turned to the artificial intelligence tool ChatGPT to suggest a likely pricing range for GOOG stock by 2030. Although the tool was unable to give a definitive price range, it did note the following:
“Over the long term, Google has a track record of strong financial performance and has shown an ability to adapt to changing market conditions. As such, it’s reasonable to expect that Google’s stock price may continue to appreciate over time.”
GOOG stock price prediction
While attempting to estimate the price range of future transactions, it is essential to consider a variety of measures in addition to the AI chat tool, which includes deep learning algorithms and stock market experts.
Finbold collected forecasts provided by CoinPriceForecast, a finance prediction tool that utilizes machine self-learning technology, to anticipate Google stock price by the end of 2030 to compare with ChatGPT’s projection.
According to the most recent long-term estimate, which Finbold obtained on March 20, the price of Google will rise beyond $200 in 2030 and touch $247 by the end of the year, which would indicate a 141% gain from today to the end of the year.
Google has been assigned a recommendation of ‘strong buy’ by the majority of analysts working on Wall Street for a more near-term time frame. Significantly, 36 analysts of the 48 have recommended a “strong buy,” while seven people have advocated a “buy.” The remaining five analysts had given a ‘hold’ rating.

The average price projection for Alphabet stock over the last three months has been $125.32; this objective represents a 22.31% upside from its current price. It’s interesting to note that the maximum price forecast for the next year is $160, representing a gain of 56.16% from the stock’s current price of $102.46.
While the outlook for Google stock may be positive, it’s important to keep in mind that some potential challenges and risks could impact its performance, including competition from ChatGPT itself, which could affect Google’s price.
Disclaimer: The content on this site should not be considered investment advice. Investing is speculative. When investing, your capital is at risk.
NEWS
This Apple Watch app brings ChatGPT to your wrist — here’s why you want it

ChatGPT feels like it is everywhere at the moment; the AI-powered tool is rapidly starting to feel like internet connected home devices where you are left wondering if your flower pot really needed Bluetooth. However, after hearing about a new Apple Watch app that brings ChatGPT to your favorite wrist computer, I’m actually convinced this one is worth checking out.
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Discord goes all in with AI: chatbots, automods, whiteboards and more

AI is the future, at least over on Discord.
The messaging application originally made for gamers has become Gen Z’s favorite online hangout destination of choice, and now it’s rolling out a number of features powered by artificial intelligence.
In an announcement(Opens in a new tab) on Thursday, Discord shared what’s coming to the platform soon: an AI chatbot, an automated AI moderator, a conversation summarizer, an avatar remixer, and a whiteboard. Some of these features begin rolling out today, March 9. Others will launch in the coming weeks and months.
While AI has jumped into the mainstream thanks to the popularity of OpenAI’s ChatGPT chatbot, Discord has had an active AI community for quite a while now. According to the company, third-party AI apps already on the platform already have more than 30 million monthly users. Nearly 3 million servers on Discord have some AI element integrated into the community.
In fact, the biggest community on Discord is Midjourney, a text-to-image AI project which allows users to generate art from right within the server. Discord says Midjourney’s server has more than 13 million members.
So, with AI being such an integral part of Discord already, it seemed like only a matter of time before Discord itself started bringing AI directly into the platform.
AutoMod AI
Credit: Discord
The first feature coming to some Discord servers as soon as today is AutoMod AI. Discord already has an AutoMod feature, which basically automatically moderates rooms for admins based on the rules of the server. Discord has now integrated OpenAI-powered AI into AutoMod, allowing it to search the server and contact moderators when it thinks rules are possibly being broken. According to Discord, AutoMod AI can also consider the context of a conversation so, for example, users don’t get penalized for posts that are misconstrued.
Clyde is a bot that Discord users may already be familiar with, and starting next week, Clyde is getting an AI upgrade. Currently, the Clyde bot provides information, such as server error messages, and also responds to timeout or ban requests from users and mods. However, that’s pretty much all Clyde was able to do. Until now.

Clyde
Credit: Discord
Clyde will now be able to answer all sorts of questions from users, much like OpenAI’s ChatGPT chatbot. Users simply have to type “@Clyde” followed by their prompt. Clyde will be able to pull up information and also help find specific emojis or GIFs based on a user’s description.
Another AI feature coming to Discord next week is Conversation Summaries. Again, the name is fairly descriptive of what it does. With users all over the world, many Discord channels are always moving regardless of time of day. Conversation Summaries will allow users to catch up on what they missed on a Discover Server. The AI-powered feature will “bundle” chats into topics so users can easily read up on what they find most interesting.

Conversation Summaries
Credit: Discord
Starting today, developers can start playing with Avatar Remix, an open-source Discord app that integrates AI art into the messaging app. Avatar Remix allows users to take a fellow user’s avatar and change it up “using the power of generative image models.” What does that mean? In the demo that Discord showed Mashable, a user was able to add a party hat or a mustache to a friend’s avatar by simply mentioning their username and describing what changes they’d like to make.

Avatar Remix
Credit: Discord
The company is also launching an “AI incubator,” offering support for developers creating AI-powered apps on Discord.
Finally, Discord revealed a feature that’s coming soon that has long been requested by the Discord community: a whiteboard. But, of course, this won’t be just any collaborative whiteboard feature. It’s going to be AI-powered, allowing users to collaborate in generating AI art and more.
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