Hello, friends! Much like yourself, the TechCrunch+ crew has been working to get ahead on all things generative AI. With the rapid evolution of AI models, it’s hard to keep up.
But don’t worry. TechCrunch+ has your back.
Building off TechCrunch’s regular drumbeat of AI coverage, we’re going deeper into how startups can take advantage of the new technologies. Here’s a smattering of what we’ve published lately on this critical topic:
- For big businesses: If you don’t know whether to believe the hype surrounding AI, we’re here to tell you that it’s true: There’s a race among corporate America to leverage AI in order to add more utility and value to their products and services. Recent acquisition announcements from Databricks and Snowflake show that they, too, are working to answer the demand for AI-powered use cases: using data stored in these services as fuel for machine learning models. And there’s a whole slew of startups that are filling in the gaps, including Cohere, which is building “foundation models that provide fully customizable, trustworthy, privacy-aware AI.”
- For investors: The machine learning market in 2022 was estimated to be around $49.6 billion, and is only growing. So it’s no wonder that VCs are generally optimistic about the future of ML.
- For everyone: As more AI tools and models are being built, the question of how to do it ethically is a good one to ask. But these two health care startups are proving that you can build with AI while keeping ethics in mind. AI might even be used to help older adults feel less lonely.
It’s busy out there! Stay up-to-date with us.
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