Results for: Artificial Intelligence (AI)

UiPath has been trading at $18.75, rated as a buy by analysts at Seeking Alpha and Wall Street. The company recently achieved GAAP operating profits for Q4 2024 and boasts strong growth, but operating expenses could increase due to driving sales in a competitive market. Despite AI hype, analysts suggest holding off on buying UiPath due to its high valuation and need for Gen AI progress. UiPath’s first quarter of positive GAAP operating income in Q4 shows promise, but it’s crucial to wait for long-term cost control before investing. With Gen AI posing a potential threat to UiPath’s ML-based products, the company has introduced Autopilot to leverage Gen AI for immersive experiences. However, since Autopilot is not yet commercialized, it’s best to wait for a pipeline and customer interest before investing. UiPath’s ML-based solutions remain advanced for automation, but it needs to grow in sophistication with the advent of interactive chat-based tools. Its pioneer status in automation may prove useful to drive adoption for Autopilot, but investors should conduct additional research before investing.

Novo Nordisk’s recent surge in market capitalization has highlighted the growing popularity of semaglutides, a new class of weight loss drugs. These drugs are showing promise as a less invasive alternative to injections like Ozempic, and are attracting interest from consumers and manufacturers alike. Social listening tools, powered by artificial intelligence (AI), are proving invaluable in monitoring and understanding the rapidly growing conversation around semaglutides online. By analyzing consumer posts, CPGs can identify emerging need spaces, understand brand perception, and anticipate future consumer demand.

A recent international poll reveals that over half of IT workers experience overwhelming taskloads. AI is seen as a potential solution, with respondents expressing willingness to delegate tasks to the technology. Organizations are exploring AI adoption, with a majority believing it will enhance efficiency and expand IT responsibilities.

Harnessing the power of AI presents both challenges and opportunities for marketers. Info-Tech Research Group’s latest blueprint provides guidance on integrating AI strategies and aligning them with business objectives. The research highlights the importance of evaluating AI applications based on value and readiness to adopt, enabling organizations to leverage these technologies across marketing, sales, and customer success functions.

Technology giant Salesforce is urging policymakers to impose environmental regulations on artificial intelligence (AI) due to its significant energy consumption and lack of emissions reporting. The company believes standardized measurement and reporting metrics are crucial to enhance transparency, drive efficiency, and support informed decision-making regarding AI’s impact on the environment.

Parks Associates’ latest research reveals that video doorbell purchasers prioritize AI-based capabilities such as pet and people differentiation and facial recognition for enhanced threat detection and reduced false alerts. These features equip video doorbells with security solution capabilities, intensifying competition within the security systems market.

As artificial intelligence (AI) continues to advance rapidly, it has become imperative to establish robust mechanisms for reviewing and managing the emerging risks associated with its diverse applications. This article explores the historical evolution of AI modeling, highlights its widespread impacts across various sectors, examines existing regulations and initiatives for ensuring responsible use, and emphasizes the importance of effective model review practices. By fostering a culture of responsible innovation, organizations can harness the transformative power of AI while mitigating potential risks to individuals, society, and the environment.

Apple has acquired the Paris-based startup DarwinAI, which specializes in artificial intelligence compression and computer vision technology. The acquisition, completed in December, will bolster Apple’s ongoing development of AI features in its products and services.

Apple plans to introduce AI capabilities in iOS 18, focusing on on-device processing for enhanced privacy and performance. While Samsung combines on-device and cloud-based AI, Apple’s approach favors device-based AI with a Large Language Model (LLM). Expected AI features include improved auto-replies, Siri functionality, and advanced image editing tools. The status of a potential collaboration with Google for certain AI features remains unclear.

Apple has reportedly acquired Datakalab, a French AI startup specializing in on-device computer vision technology, to enhance the AI capabilities of its iPhone and other devices. The acquisition reinforces Apple’s commitment to developing on-device AI, following the recent acquisition of Canadian AI startup DarwinAI.