TechEmpower
NOVEMBER 13, 2023
On a different project, we’d just used a Large Language Model (LLM) - in this case OpenAI’s GPT - to provide users with pre-filled text boxes, with content based on choices they’d previously made. So instead, we fill it with a completely custom blurb, written just for him: Hello!
socalTECH
JUNE 25, 2019
Los Angeles-based Retina , a startup which develops machine learning and artificial intelligence software for predicting customer lifetime value (CLV) of a company's customer, said it has launched a new tool that it is offering up to small to middle-market e-commerce businesses. READ MORE>>.
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socalTECH
JULY 10, 2017
There's been a revolution in the use of artificial intelligence and machine learning in the last few years, by both startups and large companies, to help in a large number of areas. We talked with Tim about how they're now applying this to a new market. What is PointPredictive?
Berkonomics
MARCH 4, 2021
Over the years, as I managed my several computer companies as CEO or executive chairman, I made the decision to go to market with a brand-new product that had never before been exposed to my customer’s marketplace. Artificial intelligence thirty-four years ago. Changing the rules to fit the market.
Startup Professionals Musings
MARCH 22, 2019
Image via Pixabay Everyone has heard about the big potential for using artificial intelligence (AI) to expand your business, but many of the small businesses I mentor are still wary of embracing it, because they don’t understand how it works, and fear losing control and unintended consequences. Alice and Bob were shut down immediately.
socalTECH
APRIL 10, 2019
One of the hottest sectors of the technology startup market today is the use of artificial intelligence, big data, and machine learning across many different sectors including finance. Machine learning is great at consuming data, taking lots of different data, and finding signal in that data to make predictions.
Startup Professionals Musings
SEPTEMBER 30, 2018
Conventional thinking in business has long been that strategy decisions are made by humans, while the focus of automation and machine learning should be on execution. Only smart software can plow through the volume of live data, recognizing trends, customers, and match offerings to reality.
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