REDWOOD CITY, Calif.--(BUSINESS WIRE)--C3 AI (NYSE: AI), the Enterprise AI application software company, today announced it will issue its financial results for the fiscal fourth quarter and full fiscal year, which ended April 30, 2025, following the close of the U.S. markets on Wednesday, May 28, 2025. C3 AI will host a conference call and webcast to discuss the financial results. The conferen...
Contrary to a common assumption, making big investment gains doesn't necessarily require constant monitoring of your portfolio or taking on extreme risks. Scaling back your risk and dialing back your trading activity, in fact, could actually improve your overall performance.
The recent sell-off in tech stocks is a great opportunity to buy shares of leading artificial intelligence (AI) companies at a discount. The AI market is projected to grow 26% on an annualized basis to reach $1 trillion by 2030, according to Statista.
The hot artificial intelligence sector saw several AI-centric companies sprout up over the past few years. Among them are SoundHound AI (SOUN -2.31%), which went public in 2022, and C3.ai (AI -0.71%), which executed its IPO toward the end of 2020.
BigBear.ai (BBAI 22.16%) and C3.ai (AI 2.45%) both develop artificial intelligence (AI) modules that can be plugged into an organization's existing infrastructure to accelerate and automate certain tasks. BigBear.ai is a smaller company that plugs its modules into edge networks.
Growth stocks have taken a hit in the market so far this year as investors have entered risk-off mode, thanks to the economic uncertainty caused by the ongoing tariff-fueled trade war. However, the good part is that the stock market sell-off has brought the valuations of some fast-growing companies down to attractive levels.
C3.ai (AI 0.15%) stock has been in a tailspin this year as fears related to a recession have been on the rise. A slowdown in spending could result in companies slashing budgets for investments, including artificial intelligence (AI) projects.
Developing artificial intelligence (AI) software from scratch requires billions of dollars in infrastructure and chips, mountains of data, and extensive technical expertise. The majority of businesses can't string all three ingredients together, especially if they aren't in the technology industry, so they seek alternative solutions instead.
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