1083 articles • Page 18 of 73
Anthropic has launched Claude Opus 4.5, a major upgrade boosting AI coding and agent abilities for developers and enterprises. Released on November 24, 2025, this refreshed model delivers superior reasoning, reduced token costs, and more secure autonomous operations, positioning it as a pivotal tool for professional AI applications.
Chinese tech giants are strategically moving AI model training offshore to skirt U.S. chip bans, a key tactic in navigating global supercomputer politics. Data centers in Singapore, packed with leased Nvidia H100 GPUs, now power AI models like Alibaba's Qwen and ByteDance's Doubao, according to a Semafor report. This approach keeps highperformance chips outside mainland China, providing the essential computing power needed to remain competitive. This strategy gained traction after the U.S. banne
A landmark McKinsey Global Survey 2025 reveals a stark paradox in enterprise AI: while adoption has soared to 88%, a mere 39% of companies report seeing any value. This highlights a critical gap between enthusiasm and real financial return, as most organizations struggle to move beyond smallscale experiments and capture material gains.
DeepSeekMathV2 has achieved a goldmedal level at the International Mathematical Olympiad (IMO) and scored an astounding 118/120 on the Putnam exam, establishing a new frontier in AIdriven mathematical reasoning. Developed by DeepSeek AI, the model's breakthrough performance is even more significant because it is an opensource system, providing researchers a transparent blueprint for large language models that prioritize verifiable proof over mere answers.
Despite significant investment in AI, a staggering 74% of companies fail to scale AI value beyond limited pilot programs, according to a recent study (Boston Consulting Group). This widespread struggle highlights a critical gap between experimentation and enterprisewide ROI. However, success stories from firms like Klarna, which handled 2.3 million chats in one month with its AI assistant (Microsoft customer stories), prove that scaling is achievable. To bridge this gap, business leaders must ad
Salesforce is launching Agentforce 360 for enterprise AI agents in 2025, moving agentic AI from theory to practice. This new platform unifies data, orchestration, and governance into a single stack to help global enterprises deploy coordinated agent workforces. Realworld deployments show that integrated architecture, context management, and trust controls are essential for building reliable, secure, and costefficient AI agents.
Salesforce's Agentforce signals a pivotal shift in the market, establishing a new standard for enterprise AI agent platforms. As corporate leaders move from asking if they should adopt AI agents to when, the demand for a centralized, secure platform for agent orchestration has become paramount. Agentforce serves as a crucial blueprint for scaling AI safely, with early pilots demonstrating a clear path to justifying broader investment.
Artificial intelligence is transforming the audit profession as advanced analytics move from industry buzzword to baseline capability. Across the sector, from Big Four platforms to midtier firms, algorithms now scan entire ledgers in seconds, empowering human auditors to validate the story behind the data.
The challenge of AI inconsistency in 2024 is forcing brands to rethink their governance as the issue moves from academic curiosity to a primary boardroom concern. As enterprises scale generative AI assistants, they find that even minor adjustments to prompts or model weights can fracture brand voice and erode customer trust. The critical question for marketing leaders is how to maintain stable outputs for customers while continuously improving the models. The solution lies in a strategic blend o
The LinkedIn 2025 algorithm has fundamentally altered content distribution, requiring creators to adapt to stricter quality checks. While viral post frameworks (Hook, Story, Lesson, CTA) still work, success now depends on mastering new standards for relevance, authority, and dwell time. According to a Hootsuite overview of the 2025 LinkedIn algorithm, the platform has cut average post views by 50% and engagement by 25%.
The expanding role of the CISO to govern enterprise AI risk is a primary focus on boardlevel agendas in 2025. No longer just supervisors of firewalls, security leaders are now pivotal in arbitrating how machine learning models are built, procured, and monitored. This shift is critical, as unchecked AI can amplify data leakage, introduce bias, and increase vendor dependency. Proactive security oversight from the CISO keeps AI projects on schedule and compliant with evolving legal boundaries.
Recent studies show Google's AI matches radiology residents on diagnostic benchmark tests, raising pivotal questions about the future of artificial intelligence in medicine. A late 2024 study found Google's models achieved parity with firstyear residents on textbased musculoskeletal cases. This development is significant as AI investment in radiology surges, promising to ease workforce shortages and expand healthcare access through faster, more affordable image interpretation.
To secure AI data, new accounting safeguards are a critical priority for firms deploying chatbots, classification engines, and predictive models. Escalating breach costs and expanding regulations mean every finance team needs a concrete action plan. This blueprint translates industry guidance and lessons from realworld breaches into an actionable roadmap for accountants.
Deploying AI agents to boost hiring completion can seem daunting, with many HR leaders fearing costly, unmanageable pilot projects. However, a strategic, disciplined approach ensures measurable wins without overwhelming integration efforts. This playbook provides a clear path to success by focusing on a tight scope, clear metrics, and building team confidence.
A groundbreaking McKinsey report reveals that agentic AI could unlock up to $4.4 trillion in global economic value, but also introduces significant new cyber risks. The consultancy's 2025 analysis shows these autonomous AI agents, moving from lab concepts to enterprise software, could add as much value to the global GDP as Germany's entire economy. This enormous promise arrives with a critical warning: the same autonomy driving productivity gains also creates a wider, more complex th