Kyle Wiggers
Adaptive builds automation tools to speed up construction payments
The construction industry has a slow payments problem. Studies have found that it takes anywhere from two to three months on average for construction companies to get paid, due to factors such as delays, multiple payment layers and cost overruns.
Can chatbots replace human therapists? Some startups — and patients — claim that they can. But it’s not exactly settled science.
Stability AI, the beleaguered generative AI startup behind Stable Diffusion, has raised new cash. But it won’t reveal how much.
Yet another generative AI venture has raised a bundle of money. And, like the others before it, it’s promising the moon.
The majority of companies struggle to extract value from their data. Several years ago, Forrester reported that between 60% and 73% of data belonging to the average business goes unused for analytics. That’s because the data’s siloed or otherwise pigeonholed by technical and security considerations, making it difficult — if not impossible — to apply analytical tools.
Genspark is the latest attempt at an AI-powered search engine
Move over, Perplexity. There’s a new AI-powered search engine in town — and its creators think it can best the many, many other attempts out there.
Decagon claims its customers service bots are smarter than average
One red-hot category in the generative AI space is customer support, which isn’t surprising, really, when you consider the tech’s potential to cut contact center costs while increasing scale. Critics argue that generative AI-powered customer support tech could depress wages, lead to layoffs and ultimately deliver a more error-prone end-user experience. Proponents, on the other hand, say that generative AI will augment — not replace — workers, while enabling them to focus on more meaningful tasks.
Mistral launches new services and SDK to let customers fine-tune its models
French AI startup Mistral is introducing new AI model customization options, including paid plans, to let developers and enterprises fine-tune its generative models for particular use cases.
