Oracle announced new agentic AI capabilities integrated into its Oracle AI Database, designed to help businesses rapidly build, deploy, and scale secure AI applications using real-time enterprise data. These innovations eliminate complex data pipelines, enhance security with features like Deep Data Security and Private AI Services Container, and support open standards for flexible deployment across cloud and on-premises environments. The new tools aim to accelerate AI-driven insights and productivity while protecting sensitive data from AI-era threats, positioning Oracle as a leader in scalable, secure enterprise AI solutions.
Oracle shares recently dropped sharply amid market concerns despite $67 billion in AI deals and $70 billion planned spending. Historically, Oracle stock falls an average of 18% during market crises, worse than the S&P 500, with declines up to 40% in ...
Tradr ETFs has introduced two new leveraged ETFs that provide twice the inverse daily performance (-200%) of Applied Optoelectronics and Oracle stocks. These funds, listed on Cboe, offer traders tools to profit from or hedge against declines in these...
Oracle is transforming from a traditional software company into a hyperscaler focused on AI-driven cloud infrastructure. The company faces risks from high debt and customer concentration, notably with OpenAI, but its accelerating cloud revenue and la...
Oracle introduced a new AI Studio Skill within Oracle AI Agent Studio for Fusion Applications, enabling customers and partners to build AI-driven Fusion Agentic Applications natively inside Oracle Fusion Cloud. These applications use specialized AI a...
Bealls Inc., a 111-year-old US retailer, improved its clearance pricing strategy by adopting Oracle Retail Lifecycle Pricing Optimization (LPO). This AI-driven solution replaces fixed markdown schedules with dynamic pricing based on real-time demand,...
