how do you think will microsoft/google make money from AI (except search related use cases)? will they price it in the office/gsuite products? meaning now these products will cost more and bring additional revenue? if so, wouldn’t it be just incremental and not like a new source of revenue by itself? so limited bump in overall revenue? will they offer ai as a service that other companies can consume ? if not, what else? #misc #ai #pm #product #productmanager
Basically a play to get more users/ads publishers to use their products. AI is an indirect revenue driver for both these companies.
Enterprise AI offerings will be the most profitable. Cloud providers will also go full steam to grab as many AI workloads as they can. This is on top of integrating AI into existing offerings.
AI workloads?
thanks. do you mind elaborating on which use cases when you mention ‘ Enterprise AI offerings ‘ - does it mean building custom models for customer specific needs (scalability a problem there ?) or what exactly?
It’s going to be a massive service tool if the level of trust is established, replacing many engineer and science disciplines. It took my chemist consultant weeks to classify ~300 goods based on ingredient composition. I loaded the 20 most common products on the list in AI and it spat out the right answer in 15 secs and identifies that there are more than 1 result for some items with the unique product ID and identified the potential product classification… I don’t think most chemists can do that in 15 secs.
interesting. would like to learn more about this use case when you say ‘my chemist’, what’s your role here? and is that a use case in amazon related job? sorry i am a bit confused with this it sounds similar to lily ai for clothing merchants. but not sure if i am understanding it correctly
Think OPs try to get at Amazon sells a lot of goods, and storage, handling and shipping some item requires special building code, DOT compliance and personnel training, especially handling Amazon, Costco or Walmart amount of these products.To meet regulatory needs, you need to know the key product ingredients to properly classify the materials, so your designed solutions meets code/reduces loss risk. There are folks whose sole job is to intake new products and eval/identify them to manage liability and compliance. AI is way faster at doing this. Bonus, imagine if AI is to the point where you can enter a list of mandatory features for a building in x location, it will be able to spit out and optimized designs based on adopted building codes. I’m an architect, so hoping to be retired by the time we’re that advanced.
Enterprise AI, will definitely be a paid service (models trained on internal data). Otherwise it is more like an indirect revenue driver.
They'll ask AI for best monetization strategies
😅 this is the way
Automated tasks One i can think of is Ad targeting for Google, you pay extra and the AI generates the audience, run & manages the ads.
Mostly Ads
Ton of automation for customer service and operations comes to my mind. Topic modeling on customer service feedback Backbone for chat bots and voicebots Ingesting product reviews for product research
By selling ML and OpenAI compute resources?
wouldn’t that be cloud (aws, azure, gc )itself? or do you mind elaborating what you mean by that?
OP, yes, the workloads are on the cloud. They’re monetized by using cloud resources.
First get lazy ppl hooked on AI products. Then charge ads on it or just charge the customer. I’m assuming some new endless scroll products will come up…