Amazon Haul is shaking up the bargain shopping scene with rock-bottom prices,perks and more. Discover if Amazon is the ultimate destination for unbeatable deals and savings on your favorite products. source

A Democratic Federal Communications Commissioner is slamming the agency for its revival of a complaint regarding CBS’ editing of an interview with former Vice President Kamala Harris, calling the move a weaponization of the commission’s licensing authority. source

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Agentic AI isn’t just the latest AI hype cycle, it’s real technology that can make a big difference for enterprise workflows. That’s the big bet that ServiceNow has been making and is now doubling down on in a bid to bring higher return-on-investment to enterprise AI efforts. ServiceNow is in the business of enterprise workflow solutions, helping its over 8,000 global customers with all manner of processes ranging from human resources to IT service management (ITSM). Over the past two years, the company has been incrementally adding AI services through its Now Assist technology. In 2024 its first agentic AI services debuted, with a library of AI agents in the Now Assist Skill Kit. While the underlying technology is sophisticated, ServiceNow’s approach emphasizes invisible integration — AI agents working behind the scenes to enhance enterprise productivity without requiring direct user interaction. So how do you make agentic AI even more useful? That’s where AI orchestration comes in.  Today ServiceNow is announcing its new AI Agent Orchestrator and AI Agent Studio, marking a significant shift from basic generative AI assistance to comprehensive, end-to-end task automation. What the ServiceNow AI orchestrator is all about The AI Agent Orchestrator is the “brain” that coordinates and manages the interactions between different AI agents to accomplish complex tasks. The AI Agent Studio is the development and management platform that gives customers the tools to create, deploy and maintain their own custom AI agents. The company plans to release thousands of specialized AI agents designed to handle complex enterprise workflows across IT, HR and customer service functions. Early adopters report significant efficiency gains, according to ServiceNow. One early user is achieving a 70% reduction in ticket resolution time — cutting average handling time from 30 minutes to seven to eight minutes. The key to getting a better outcome is to fully realize the promise of agentic AI. And the promise of agentic AI workflows isn’t about just using a single agent, but rather a series of them to achieve a business goal. “You can have all these single AI agents being specialized in a specific task, but bringing in the AI agent orchestrator, it’s bringing order to the chaos,” Dorit Zilbershot, vice president of AI experiences and innovation at ServiceNow, told VentureBeat. “It’s making sure that there is some kind of supervision on all these AI agents and that there’s an understanding of what’s the end-to-end goal or business problem that we’re trying to solve.” Why agentic AI needs more than just agents There is no shortage of interest in agentic AI in 2025. Many large enterprise technology vendors including big players like Salesforce with its Agentforce platform and Microsoft have been emphasizing the technology. ServiceNow isn’t all that different in recognizing the value of agentic AI for enterprises. Where it differs is in the application. ServiceNow is all about workflows for enterprise processes, which can often involve many different steps. An agent can help to automate  components within a specific domain, while AI agent orchestration can coordinate multiple agents across domains in a complicated workflow. An example of how the AI agent orchestrator can help with a complex enterprise workflow might be onboarding a new employee. This involves several steps and tasks that need to be coordinated, such as: setting up the employee’s IT accounts and equipment, enrolling them in HR systems and benefits, scheduling training and orientation sessions and granting access to necessary business systems. With the AI agent orchestrator, ServiceNow can create a team of specialized AI agents to handle each of these tasks. For example, an IT agent would provision the laptop, an HR agent would enroll the employee in HR systems, and a training agent would schedule onboarding sessions. The AI Agent Orchestrator coordinates the handoffs and communication between the agents. It understands the overall onboarding workflow, monitors progress and ensures all the necessary steps are completed successfully. If any issues arise, the orchestrator can troubleshoot, re-assign tasks, or escalate to human intervention as needed. The system also provides end-to-end visibility and management of the onboarding process. How agentic AI orchestration works The idea of chaining together different AI processes or LLMs is not new either.   There are technologies like LangChain that allow organizations to “chain” together multiple LLMs. There are also LLM router technologies that allow different queries to be routed. Zilbershot said that ServiceNow’s orchestrator is built entirely on its proprietary platform and is not relying on external frameworks. She explained that the system incorporates both short-term and long-term memory capabilities. The memory helps to provide context for the AI agents. Within the orchestrator platform there are also multiple types of models. The orchestrator uses larger language models for decision-making and planning. It then uses smaller LLMs for specific actions like summarization or email generation. Agentic AI workflows need data ServiceNow’s strategic positioning at the intersection of AI and enterprise automation hinges on data, and specifically the company’s Workflow Data Fabric. The Workflow Data Fabric is a foundational technology for ServiceNow. It enables cross-system data access, consistent context maintenance, secure data handling across workflows and integration with existing enterprise systems. “We want to drive agentic AI and conversational experiences across the board, and we’re driving everything with the Workflow Data Fabric at its core,” Zilbershot said. “We’re able to access any data systems as well as any systems for actions, and really create the single place where our customers can manage and orchestrate all their enterprise processes and workflows with the ServiceNow platform.” source

By Samantha Duke ( January 29, 2025, 5:11 PM EST) — Are district courts bound by both interpretive and final rules issued by the Federal Communications Commission?… Law360 is on it, so you are, too. A Law360 subscription puts you at the center of fast-moving legal issues, trends and developments so you can act with speed and confidence. Over 200 articles are published daily across more than 60 topics, industries, practice areas and jurisdictions. A Law360 subscription includes features such as Daily newsletters Expert analysis Mobile app Advanced search Judge information Real-time alerts 450K+ searchable archived articles And more! Experience Law360 today with a free 7-day trial. source

Delivering compelling B2B event content is central to an event’s success, but it’s a high-stakes endeavor. Leaders must build organizational alignment around a key theme that aligns to business objectives. They need to use this theme to craft a narrative that feeds into all aspects of event content. They must coordinate with demanding speakers. Resourcing and budgets are stretched. And all of this happens under the pressure of the unmovable deadline of a live event. Forrester research has identified three key challenges that marketers face when it comes to managing their event content: Measuring content effectiveness. Budgets are under pressure, and marketers need to better measure the impact of their event content, but two-thirds of B2B marketers tell us they find this difficult, and many organizations lack the integrated event infrastructure required for effective content measurement. Offering personalized content. Marketers recognize that attendees want (and now expect) higher levels of personalized event content, but they struggle to deliver this. While AI holds the potential to help here, marketers are reluctant (or unable) to fully exploit its capabilities. Driving post-event engagement. Over half of marketers struggle to create content that nurtures attendees post-event and helps to build “community.” Too often, event teams need to shift focus to the next event and lack the bandwidth or internal support to focus here. Take An Audience-Centric Approach To Create Enduring, Impactful Event Content   To overcome these challenges, marketers must take a more disciplined, process-driven approach to their event content strategy and creation. The Forrester Event Content Lifecycle Framework places the target audience at the center of event content planning. It breaks the event content lifecycle into the four key phases of pre-event content planning, pre-event content production, at-event content delivery, and post-event content value realization. For each of these phases, we examine the objectives, inputs, activities, team, and infrastructure that leaders need to consider. Forrester clients can read the report, Master B2B Event Content Best Practices To Drive Engagement, which goes into each of these phases in more detail, and can also request a guidance session to discuss their own event content strategies! source

The rapid spread of artificial intelligence has people wondering: who’s most likely to embrace AI in their daily lives? Many assume it’s the tech-savvy – those who understand how AI works – who are most eager to adopt it. Surprisingly, our new research (published in the Journal of Marketing) finds the opposite. People with less knowledge about AI are actually more open to using the technology. We call this difference in adoption propensity the “lower literacy-higher receptivity” link. This link shows up across different groups, settings and even countries. For instance, our analysis of data from market research company Ipsos spanning 27 countries reveals that people in nations with lower average AI literacy are more receptive towards AI adoption than those in nations with higher literacy. Similarly, our survey of US undergraduate students finds that those with less understanding of AI are more likely to indicate using it for tasks like academic assignments. The reason behind this link lies in how AI now performs tasks we once thought only humans could do. When AI creates a piece of art, writes a heartfelt response or plays a musical instrument, it can feel almost magical – like it’s crossing into human territory. Of course, AI doesn’t actually possess human qualities. A chatbot might generate an empathetic response, but it doesn’t feel empathy. People with more technical knowledge about AI understand this. They know how algorithms (sets of mathematical rules used by computers to carry out particular tasks), training data (used to improve how an AI system works) and computational models operate. This makes the technology less mysterious. On the other hand, those with less understanding may see AI as magical and awe inspiring. We suggest this sense of magic makes them more open to using AI tools. Our studies show this lower literacy-higher receptivity link is strongest for using AI tools in areas people associate with human traits, like providing emotional support or counselling. When it comes to tasks that don’t evoke the same sense of human-like qualities – such as analysing test results – the pattern flips. People with higher AI literacy are more receptive to these uses because they focus on AI’s efficiency, rather than any “magical” qualities. The researchers carried out surveys with a number of different groups, including undergraduates. Owlie Productions / Shutterstock It’s not about capability, fear or ethics Interestingly, this link between lower literacy and higher receptivity persists even though people with lower AI literacy are more likely to view AI as less capable, less ethical, and even a bit scary. Their openness to AI seems to stem from their sense of wonder about what it can do, despite these perceived drawbacks. This finding offers new insights into why people respond so differently to emerging technologies. Some studies suggest consumers favour new tech, a phenomenon called “algorithm appreciation”, while others show scepticism, or “algorithm aversion”. Our research points to perceptions of AI’s “magicalness” as a key factor shaping these reactions. These insights pose a challenge for policymakers and educators. Efforts to boost AI literacy might unintentionally dampen people’s enthusiasm for using AI by making it seem less magical. This creates a tricky balance between helping people understand AI and keeping them open to its adoption. To make the most of AI’s potential, businesses, educators and policymakers need to strike this balance. By understanding how perceptions of “magicalness” shape people’s openness to AI, we can help develop and deploy new AI-based products and services that take the way people view AI into account, and help them understand the benefits and risks of AI. And ideally, this will happen without causing a loss of the awe that inspires many people to embrace this new technology. source

Según los estándares mundiales, Estados Unidos tiene un nivel relativamente bajo de nacionalismo religioso, pero se destaca entre otros países con ingresos altos. Este comunicado de prensa se ha traducido del inglés original al español. Una nueva encuesta de Pew Research Center realizada en tres docenas de países revela que las personas que viven en países con ingresos medios tienen más probabilidades que las que viven en países con ingresos altos de ser “nacionalistas religiosos” (religious nationalists), aunque esta población no constituye una mayoría en ninguno de los países encuestados. En este informe, se clasifica a las personas como “nacionalistas religiosos” (religious nationalists) si se identifican con la religión históricamente predominante en su país, y adoptan una postura marcadamente religiosa en cuatro preguntas clave de nuestra encuesta, todas relacionadas con el papel de la religión en la identidad nacional y el gobierno. La prevalencia del nacionalismo religioso varía mucho entre los países encuestados: Menos del 1 % de los adultos encuestados cumplen los criterios en Alemania y Suecia, frente a más de cuatro de cada diez en Indonesia (46 %) y Bangladesh (45 %). Aunque solo el 6 % de los adultos en Estados Unidos se clasifican en este análisis como “nacionalistas religiosos” (religious nationalists), esta población tiene mayor probabilidad, que los de cualquier otro país encuestado con ingresos altos, de decir que el texto religioso históricamente predominante en su país (en este caso, la Biblia) tiene actualmente mucha o alguna influencia sobre las leyes nacionales. Y el público estadounidense también se inclina más que el de otros países con ingresos altos a decir que la Biblia debería tener ese tipo de influencia (de nuevo, en relación con los textos sagrados por los que se pregunta en otros lugares). En seis países latinoamericanos encuestados, las mayorías tienen en general una opinión positiva de la religión, afirmando que fomenta la tolerancia y, en la mayoría de los casos, beneficia a la sociedad. En Brasil, Colombia y Perú, la mitad de los adultos o más dicen que la Biblia debería tener mucha influencia en las leyes de su país; porcentajes menores en Argentina, Chile y México están de acuerdo. (Consulte los enlaces de “Metodología” para obtener más información sobre cómo clasificamos a los “nacionalistas religiosos” (religious nationalists), y cómo preguntamos sobre las distintas religiones y textos religiosos.) Hallazgos adicionales: El impacto de la religión en la sociedad. La opinión sobre la religión es globalmente positiva en todo el mundo, pero más en los países con ingresos medios. Una mediana del 87 % en los 18 países encuestados con ingresos medios afirma que la religión ayuda sobre todo a la sociedad, frente a una mediana del 56 % en los 18 países con ingresos altos. Las personas también consideran que la religión fomenta más la tolerancia que la intolerancia. Pero las personas en países con ingresos medios son más propensas que las de países con ingresos altos a afirmar que la religión fomenta la tolerancia. Y pequeñas mayorías en Suecia, Alemania, Países Bajos, Reino Unido y Australia afirman que la religión fomenta la intolerancia. A escala mundial, las opiniones están divididas sobre si la religión fomenta o no el pensamiento supersticioso. Una mediana del 52 % en 36 países afirma que la religión no fomenta el pensamiento supersticioso, mientras que el 42 % opina que sí lo hace. Los líderes nacionales y su relación con la religión En muchos países, tener un líder que defienda las creencias religiosas de las personas se considera más importante que tener un líder que comparta las propias creencias religiosas. Una mediana del 30 % en los 35 países en los que formulamos estas preguntas piensa que es muy importante tener un líder que defienda a las personas con sus creencias religiosas. Una mediana del 22 % piensa que es muy importante que un líder comparta sus creencias religiosas. Religión e identidad nacional Las opiniones de las personas sobre la importancia de la religión para la identidad nacional varían mucho. Por ejemplo, en Túnez el 86 % dice que ser musulmán es muy importante para ser verdaderamente tunecino, mientras que en Suecia el 3 % dice que ser cristiano es muy importante para ser verdaderamente sueco. Gran parte de los países con ingresos medios afirman que pertenecer a la religión históricamente predominante en su país es muy importante para compartir realmente la identidad nacional. En los países con ingresos altos, sin embargo, son muchos los que afirman que la religión no es en absoluto importante para la identidad nacional. Israel destaca como el único país con ingresos altos donde al menos un tercio de su población afirma que seguir la religión predominante, el judaísmo, en este caso, es un elemento muy importante de la identidad nacional. En los demás países con ingresos altos encuestados, menos de una cuarta parte está de acuerdo. En algunos países europeos, los simpatizantes de partidos populistas de derecha son más propensos que los que no lo son a conceder gran importancia a la religión como aspecto clave de la identidad nacional. Entre ellos se encuentran simpatizantes de partidos populistas en Francia, Hungría, Italia, Polonia, España y el Reino Unido. Incluso en los países con ingresos medios, ser miembro de la religión históricamente predominante suele considerarse menos importante para la identidad nacional que otros factores por los que se pregunta, como haber nacido en el país, compartir sus costumbres y tradiciones y, sobre todo, hablar la lengua local. Para obtener mayor información sobre estos puntos de vista, consulte “¿Qué hace que alguien pertenezca “realmente” a un país?”. En comparación con los habitantes de otros países con ingresos altos, los estadounidenses están particularmente divididos por líneas ideológicas en cuanto a la consideración de lo que es importante para ser verdaderos ciudadanos. La influencia de los textos religiosos en la legislación nacional La mayoría de los adultos en gran parte de los países con ingresos medios encuestados cree que un texto religioso debe influir en las leyes de su país. En general, esto es así

By Rachel Scharf ( January 31, 2025, 9:19 PM EST) — A California state judge said Friday that he probably won’t sanction SpaceX for supposedly missing a deadline to pay an arbitration retainer tied to a proposed class action accusing Elon Musk’s aerospace company of underpaying women and minorities…. Law360 is on it, so you are, too. A Law360 subscription puts you at the center of fast-moving legal issues, trends and developments so you can act with speed and confidence. Over 200 articles are published daily across more than 60 topics, industries, practice areas and jurisdictions. A Law360 subscription includes features such as Daily newsletters Expert analysis Mobile app Advanced search Judge information Real-time alerts 450K+ searchable archived articles And more! Experience Law360 today with a free 7-day trial. source

DeepSeek, the China-based AI startup that upended US technology stocks Monday, said cyberattacks have disrupted services for its chatbot platform. And the company’s vulnerability raises concerns about users’ data security and use, experts say. DeepSeek caused Wall Street panic with the launch of its low cost, energy efficient language model as nations and companies compete to develop superior generative AI platforms. Users raced to experiment with the DeepSeek’s R1 model, dethroning ChatGPT from its No. 1 spot as a free app on Apple’s mobile devices. Nvidia, the world’s leading maker of high-powered AI chips suffered a staggering $593 billion market capitalization loss — a new single-day stock market loss record. The company’s wild ride continued Monday night as the company reported outages it said were the result of “large-scale malicious attacks,” disrupting services and limiting new registrations. Ilia Kolochenko, CEO at ImmuniWeb and adjunct professor of cybersecurity at Maryland’s Capital Technology University, says it may be too early to accept the company’s attack explanation. “It is not completely excluded that DeepSeek simply could not handle the legitimate user traffic due to insufficiently scalable IT infrastructure, while presenting this unforeseen outage as a cyberattack,” he says in an email message. He adds, “Most importantly, this incident indicates that while many corporations and investors are obsessed with the ballooning AI hype, we still fail to address foundational cybersecurity issues despite having access to allegedly super powerful GenAI technologies.” The Devil Is in the User Details Considering the potential breach, security experts also worry about DeepSeek’s access to users’ data, which under China’s strict AI regulations, must be shared with the government. “All AI models have the same risks that any other software has and should be treated the same way,” Mike Lieberman, CTO of software supply chain security firm Kusari, says in an email interview. “Generally, AI could have vulnerabilities or malicious behaviors injected … Assuming you’re running AI following reasonable security practices, e.g., sandboxing, the big concerns are that the model is biased or manipulated in some way to respond to prompts inaccurately or maliciously.” China’s access to potentially sensitive user information should be a top security concern, says Adrianus Warmenhoven, a cybersecurity expert at NordVPN. “DeepSeek’s privacy policy, which can be found in English, makes it clear: User data, including conversations and generated responses, is stored in servers on China,” Warmenhoven says in an email message. “This raises concerns because of the data collection outlined — ranging from user-shared information to data from external sources — which falls under the potential risks associated with storing such data in a jurisdiction with different privacy and security standards.” Warmenhoven says users need to be on guard: “To mitigate these risks, users should adopt a proactive approach to their cybersecurity. This includes scrutinizing the terms and conditions of any platform they engage with, understanding where their data is stored and who has access to it.” Optiv’s Jennifer Mahoney, advisory practice manager for data governance, privacy and protection, says, “As generative AI platforms from foreign adversaries enter the market, users should question the origin of the data used to rain these technologies… When a service is free, you become the product and your user data is valuable. Should an unregulated an unsecure technology suffer a cyberattack, you could become a victim of identity theft or social engineering.” The Risk to National Security China and the US have been locked in a strategic battle over AI dominance. The US, under the previous Biden administration, blocked China’s access to powerful AI chips. DeepSeek’s ability to create an AI chatbot comparable to the best US-produced GenAI models at a fraction of the cost and power could give the adversarial nation the upper hand as the countries race to develop artificial general intelligence (AGI). “AI and associated cloud compute are now a nation’s strategic asset,” Gunter Ollman, CTO at security firm Cobalt, tells InformationWeek in an email interview. “Its security is paramount and is increasing targeted by competing nations with the full cyber and physical resources they can muster. AI code/models are inherently more difficult to assess and preempt vulnerabilities …” Organizations should also be wary of using DeepSeek’s open-source technology, Ollman says. “Organizations building atop open-source AI should plan for a potential future bloodbath of vulnerabilities and exploits in the near future.” A popular GenAI tool could lure unsuspecting users to fall for adversarial nation-state propaganda. The definition of “backdoor attacks” that normally involve malicious code should be expanded to included malicious misinformation, Ollman says. “Backdoors may extend to political and social influence, such as a model’s answers modifying history … Perhaps country-led open-source AI models are the modern equivalent of religious missionaries of past centuries.” source

Over the past couple of years, AI has infiltrated virtually every aspect of digital infrastructure, with an initial focus on storage and compute servers. Now, as organizations move from proofs of concept to deployment of AI projects, interest is growing in the potential that the AI PC holds. Attendees of recent CIO Roundtables have provided their insights into what to expect from this new class of device. First, though, what is an AI PC? These devices are PCs that incorporate modern technologies that allow them to run AI models and efficiently perform AI-based workloads. Like any PC, AI PCs have a CPU and a GPU, but they also typically have a neural processing unit (NPU) and far more RAM and much larger storage than an ordinary PC. Naturally, they don’t come cheap; these more powerful devices are expected to cost 10% to 15% more than non-AI PCs. From comments made during recent CIO Roundtables, it is clear that adoption will be slow. That isn’t surprising, given that most current AI efforts are not PC-centric. Most CIO Roundtable participants also still have questions about the use cases for AI PCs and how they will deliver greater business benefit. Some are concerned as well that the software that will make it possible to take advantage of the NPU is still lacking. The IT leaders said they are sure the apps are coming, but they are in no rush to buy the new PCs before they arrive and are ready for evaluation. source