​Equifax Inc. (NYSE:EFX) is one of the Best 52-Week Low Stocks to Invest In. On January 26, Toni Kaplan from Morgan Stanley reiterated a Buy rating on the stock with a $269 price target. Earlier, on January 13, Ashish Sabadra from RBC Capital also reiterated a Buy rating on the stock with a $250 price target. ​Analyst Sabadra from RBC Capital sees long-term buying opportunities for credit bureau stocks amidst regulatory concerns. He noted that despite the pressures, fundamentals of the sector remain stro ...

AI Strategy and Implementation at Rippling - Rippling utilizes AI across its suite, including HR, payroll, IT, and finance, focusing on content summarization, standalone AI products, and AI agents [3][8] - The company fosters AI innovation through hack weeks, providing access to tools like OpenAI, Anthropic, and Google, and partnering with Langchain [10][11][12] - Rippling emphasizes a balance between top-down product strategy and bottom-up innovation, encouraging employees to identify and automate workflows with AI [14] - Rippling's AI team focuses on creating basic primitives and a foundation for other teams to innovate, offering a "paved path" from prototype to production [18] - Rippling is expanding its product capabilities in IT, finance, and global markets, incentivizing the use of AI in these areas [13][14] AI Agent Development and Challenges - Rippling views AI agents as system analysts assisting admins with day-to-day tasks, exploring their potential within the company's vast product footprint [9] - The company emphasizes the importance of real-world production data for validating AI functionality and value, along with early feedback loops from actual users [20][22] - Rippling uses internal dogfooding to test AI features, gathering immediate feedback from employees, including executives like the CEO [21][24] - Rippling is shifting from deterministic, workflow-centric agents to leveraging the reasoning and judgment capabilities of LLMs, providing ample context and toolsets [31][33] - Rippling prioritizes AI inside the product, ensuring data security and compliance with regulations like GDPR and CCPA, with rigorous responsible AI practices [40][39][43] Productivity and Internal AI Adoption - Rippling views AI as a superpower to enhance productivity across all departments, encouraging employees to identify and automate tasks [51][53] - The company has created an AI stance, provided access to tools, and established an enablement ecosystem to promote internal AI adoption [51][52] - Rippling emphasizes accountability for code quality, even when generated by AI, using AI code review tools and promoting spec-driven AI development [57][58][59]