FTC Urges Individuals And Cos. To Exercise Caution With AI

By Hailey Konnath ( January 6, 2025, 9:43 PM EST) — The U.S. Federal Trade Commission on Friday encouraged individuals and companies to exercise caution when it comes to interacting with and deploying so-called artificial intelligence systems and tools, citing the potential for various “real-world instances of harm,” including privacy and security risks…. 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

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AI redefines customer centricity, beyond language, region for IndiaMART: Nikhil Prabhakar

He elucidates with their ‘search and discovery’ functionality on the platform, where buyers can input text for what they seek. “Largely 70% of our buyers are from Tier 2, Tier 3 or Tier 4 cities. Often when searching, they do not use the right spelling or mention vernacular words instead of English. AI’s job is to identify the right context of their search regardless and offer relevant results.” They are also using AI to uplevel matchmaking between the buyer and the seller, by identifying product quality, proximity, ratings of both parties, reviews and other parameters. AI is being used in conversational commerce, segmentation, and cataloguing. Keeping business needs at the center, AI has found its place in the platform’s ecosystem. Nikhil outlines their strategy for increased AI adoption – moving one step at a time. “We are seeing success with our implementations, although it won’t give a result on day one,” asserts Nikhil. source

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The 6 Most Significant FCRA Litigation Developments Of 2024

By Felix Shipkevich and Jessica Livingston ( January 2, 2025, 5:03 PM EST) — In 2024, several important Fair Credit Reporting Act cases made their way through the courts, including one key decision from the U.S. Supreme Court that settled a circuit court split…. 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

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Nvidia unveils Isaac GR00T blueprint to accelerate humanoid robotics

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Nvidia announced the Isaac GR00T blueprint to accelerate humanoid robotics development. At the CES 2025 keynote of Nvidia CEO Jensen Huang, Nvidia said that Isaac GR00T workflows for synthetic data and Nvidia Cosmos world foundation models will supercharge development of general humanoid robots. Over the next two decades, the market for humanoid robots is expected to reach $38 billion. To address this significant demand, particularly in industrial and manufacturing sectors, Nvidia is releasing a collection of robot foundation models, data pipelines and simulation frameworks to accelerate next-generation humanoid robot development efforts. The Nvidia Isaac GR00T Blueprint for synthetic motion generation helps developers generate exponentially large synthetic motion data to train their humanoids using imitation learning. Imitation learning — a subset of robot learning — enables humanoids to acquire new skills by observing and mimicking expert human demonstrations. Collecting these extensive, high-quality datasets in the real world is tedious, time-consuming and often prohibitively expensive. Implementing the Isaac GR00T blueprint for synthetic motion generation allows developers to easily generate exponentially large synthetic datasets from just a small number of human demonstrations. Starting with the GR00T-Teleop workflow, users can tap into the Apple Vision Pro to capture human actions in a digital twin. These human actions are mimicked by a robot in simulation and recorded for use as ground truth. The GR00T-Mimic workflow then multiplies the captured human demonstration into a larger synthetic motion dataset. Finally, the GR00T-Gen workflow, built on the Nvidia Omniverse and Nvidia Cosmos platforms, exponentially expands this dataset through domain randomization and 3D upscaling. The dataset can then be used as an input to the robot policy, which teaches robots how to move and interact with their environment effectively and safely in NVIDIA Isaac Lab, an open-source and modular framework for robot learning. World Foundation Models Narrow the Sim-to-Real Gap Which one is not the robot? Nvidia also announced Cosmos at CES, a platform featuring a family of open, pretrained world foundation models purpose-built for generating physics-aware videos and world states for physical AI development. It includes autoregressive and diffusion models in a variety of sizes and input data formats. The models were trained on 18 quadrillion tokens, including 2 million hours of autonomous driving, robotics, drone footage and synthetic data. In addition to helping generate large datasets, Cosmos can reduce the simulation-to-real gap by upscaling images from 3D to real. Combining Omniverse — a developer platform of application programming interfaces and microservices for building 3D applications and services — with Cosmos is critical, because it helps minimize potential hallucinations commonly associated with world models by providing crucial safeguards through its highly controllable, physically accurate simulations. An Expanding Ecosystem Nvidia GR00T generates synthetic data for robots. Collectively, Nvidia Isaac GR00T, Omniverse and Cosmos are helping physical AI and humanoid innovation take a giant leap forward. Major robotics companies have started adopting and demonstrated results with Isaac GR00T, including Boston Dynamics and Figure. Humanoid software, hardware and robot manufacturers can apply for early access to Nvidia’s humanoid robot developer program. source

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9折訂購賀年糕點、鮑魚雞煲盆菜、點心派對到會

就嚟到農曆新年喇 🧧🧧🧧有好野益大家😍😍 【特色賀年糕點】、【鮑魚甘香雞煲盆菜】同埋【 點心派對到會】,現正開賣!!輸入以下優惠碼一律可享9折 Benson 朋友9折優惠碼: *「Bensonfd」* 網上訂購連結:https://www.prawnhubhk.com/categories/節日限時推出-雞煲盤菜及賀年糕點 可選🚚送貨或到店自取 ========================== *【賀年糕點】(每盒約900克)*✨瑤柱臘味蘿蔔糕 原價 $178 (朋友價$138)✨四川麻辣芋頭糕 原價$198 (朋友價$158)✨奶黃年糕 原價$208 (朋友價 $168)✨桂花蔗糖馬蹄糕 原價$148 (朋友價 $108) 📆供應日期:2025年1月23至30日(年初二) 📝第一輪截單日期:1月19日(1月23至26日取糕之訂單)📝第二輪截單日期:1月21日 (1月27至30日取糕之訂單) ==========================*【鮑魚甘香雞煲盆菜】* 盆菜包括:☝🏻 第一層:鮮味大蝦|清甜白蘿蔔 |原隻大花菇|秘汁炆鴨掌|原筒花膠仔 |爽滑魚肚 | 原隻鮑魚|咖喱土魷|薑蔥牛柏葉|秘醬金錢肚|田園時蔬 👇🏻底層:🐔惹味雞煲底(一隻) 🐔 💦湯底:✨清湯底(走辣) /🌶檳城辣蝦湯底(微辣) 6人份 ( 原價$1188)10人份 ( 原價$1788) 📆供應日期:2024年1月25至30日(年初二)*產品最少需7日前預訂======================= *【點心派對到會】*香港少有嘅點心到會,全部點心當日即製,新鮮又健康😍記得落單remark 話係我朋友 可以加購「超抵食$98盅燉佛跳牆」 *產品最少需7日前預訂 ======================= Benson 朋友9折優惠碼: 「Bensonfd」 網上訂購連結:https://www.prawnhubhk.com/categories/節日限時推出-雞煲盤菜及賀年糕點 LinkedIn Email Facebook Twitter WhatsApp source

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NACD report: Boards need greater oversight, deeper insights, and foresight of enterprise technology

The National Association of Corporate Directors (NACD) is considered by many to be the preeminent association supporting boards and directors “to stay on the leading edge of corporate governance.” NACD periodically creates Blue Ribbon Commissions, groups of experts that research and create recommendations to boards on best practices to stay relevant and “future ready.” Topics in the past have included risk governance and corporate culture. This year’s Blue Ribbon Commission is particularly relevant to the times we live in and of considerable interest to those of us who work in technology in a world where, up to a few years ago, the overall direction, strategy, and vision driving economic success was often more focused on the short term and did not include much about the technology operating the company or the potential impact of evolving or emerging technologies. Outside of significant cyber events, in the past those discussions had been delegated to the audit committee to ensure compliance with Sarbanes-Oxley and similar regulatory requirements. The 2024 NACD Blue Ribbon Commission Report, “Technology Leadership in the Boardroom: Driving Trust and Value,” was released in early October 2024. This report from the NACD examines the impact of technology and data on corporate governance. It argues that boards need to strengthen their oversight, deepen their understanding, and develop foresight regarding technology in order to remain competitive and create long-term value. The report includes ten recommendations for boards and management teams, organized around the imperatives of strengthening oversight, deepening insight, and developing foresight. It provides practical guidance on how to implement these recommendations, including tools and checklists. That last paragraph was AI-generated. Or was it? What is the impact of not knowing? Not caring? Would that answer change if you were fiscally and ethically responsible for a company’s success and reputation in an era where AI dominates the headlines? How does a board ensure that the duty of care exercised as a normal obligation of board service stays current in the face of the tumultuous rate of change and reliance on technology, a rate of change that far outpaces consistent definition of regulatory protections? This Blue Ribbon Commission report includes a call to action for boards to ensure that their practices and partnership with the C-suite and auditors form a foundation that strengthens oversight, deepens insight, and develops foresight of enterprise technology. Without adequate oversight, it’s impossible to get reliable insight. Without reliable insight, foresight of enterprise technology will be wrong, incomplete, a bad bet, a waste of money, or non-existent. This is not a good look for any enterprise and for a public company, profit, share price, and reputation are at stake. And the reality of cyber safety is even worse than the board and the C-suite believe. But far from the doom-and-gloom message just portrayed, this report should bring us hope by making the need transparent to those who oversee and those responsible for company success. The report gives a well-written rationale and game plan to get the improvement started. What do we mean by enterprise technology? It’s not just internal information technology; it includes any operational technology used to provide goods and services or within those goods and services. And for companies in the engineering and technology industry, enterprise technology is reflected in the products and services offered to customers. Consider the optics behind “do as I say, not as I do” as opposed to the visible benefit of “walking the talk.” The first group of recommendations provided by the report is designed to help a board strengthen oversight of the organization’s use of technology and data. Governance and control of assets is a standard practice for CIOs, whether the assets are standards and policies, hardware, software, data, staff, or time. Enterprise technology doesn’t stand still — there are always projects and services afoot to update, upgrade, replace, fix, protect, and so on. Projects have approved requirements, costs, and schedules that are monitored, and services typically have service-level objectives/agreements. “Unmanaged change is chaos” is a common belief among those responsible for enterprise technology. The knowledge of and active involvement in technology oversight practices is not yet customary within the C-suite, let alone at the board level. While the level of detail will be nowhere close to what CIOs and CDOs deal with on a day-to-day basis, the board must recognize the governance structures in use by the organization and define their own involvement in the decision-making process. It’s a fine line between “oversight” and “overstep,” and this may challenge the beliefs of board members of significant seniority, but the duty to protect all stakeholders demands it. The board needs to be convinced that this is a crucial part of the duty of care and have significant interactions with the management team to know what the enterprise has as far as the current state of policies, people, processes, and technology and how they are connected and protected along with the data consumed, integrated, or produced. The role of organizational culture cannot be ignored, nor can the state of the business processes. Both play a role in increasing technical debt, especially when they work in concert; “that’s the way we’ve always done it” can lead to customizations in off-the-shelf software or a part of the organization going rogue and bringing in their own implementations invisible to enterprise governance. As a part of reviewing the board’s practices for decision-making, the report suggests that boards request that “management explicitly state what technologies are used to create value, why they are used, what risks exist, and if they themselves understand the technology and why it was adopted.” That statement may rob many traditional management teams of a good night’s sleep. If they read it. Wherever the management team is in their ability to answer those questions is the starting point to assist the board in deepening their insight, the second category of recommendations. Board members need to come to terms with the fact that innovations are outpacing their experience on an individual basis and understand

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Opt-Out Releases In Lumio's Ch. 11 Plan Rejected

By Ben Zigterman ( January 3, 2025, 6:31 PM EST) — A Delaware bankruptcy judge Friday rejected the opt-out mechanism for obtaining releases for third parties in Solar panel provider Lumio Holdings LLC’s Chapter 11 plan, but said she would allow it to solicit votes on the plan…. 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

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Acer launches Acer Predator Helios AI gaming laptop with Nvidia’s RTX 5090 GPU

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More During Nvidia CEO Jensen Huang’s CES 2025 keynote, Acer unveiled the Acer Predator Helios AI gaming laptops and a new Predator monitor. Acer held the announcement to that hour at the big tech trade show in Las Vegas to time it with Nvidia’s unveiling of its GeForce RTX 5000 series graphics processing units (GPUs). Acer Predator Helios 16 AI Acer Predator Helios 16 AI gaming laptop. The Acer Predator Helios 16 AI (PH16-73) is designed for gamers, early adopters and tech enthusiasts. The line offers up to an Intel Core Ultra 9 processor 275HX with NPU for AI-accelerated performance and up to an Nvidia GeForce RTX 5070 Ti GPU. It can be configured with up to 64 GB of memory and supports up to 4 TB of PCIe Gen 5 storage, a massive amount of space for games, photos and movie libraries. It has a 16-inch display with a fast 240 Hz refresh rate provides a stunning, bright and crystal-clear canvas for games and movies. It also supports G-Sync and Nvidia Advanced Optimus. Its per-key RGB keyboard features Acer’s MagKey 4.0 swappable mechanical switches for the WASD and arrow keys, improving trigger signal accuracy. The Acer Predator Helios 16 AI (PH16-73) will be available in North America in June, starting at $2,300. Acer Predator Helios 18 AI Acer Predator Helios 18 AI The Acer Predator Helios 18 AI (PH18-73) brings desktop-level performance, a large screen and top-quality immersive gaming to hardcore gamers and tech-savvy consumers needing maximum power for applications beyond gaming. The line offers up to an Intel Core Ultra 9 processor 275HX with NPU for AI-accelerated performance and up to an NVIDIA GeForce RTX 5090 Laptop GPU. It supports up to a 192 GB of memory and up to 6 TB of PCIe Gen 5 storage. Providing a bright and crystal-clear canvas for games and movies, its 18-inch 4K Mini LED WQXGA display includes a 120 Hz refresh rate, up to 1000 nits brightness, and a new Dual-mode display feature that allows users to seamlessly switch to FHD resolution at 240 Hz. It also supports G-Sync and Nvidia Advanced Optimus. Its per-key RGB keyboard features Acer’s MagKey 4.0 swappable mechanical switches for the WASD and arrow keys, improving trigger signal accuracy. The Acer Predator Helios 18 AI (PH18-73) will be available in North America in May, starting at $3,000. Acer Predator Helios Neo 16S AI Acer Predator Helios Neo 16S AI gaming laptop. The brand new Acer Predator Helios Neo 16S AI offers maximum power with the combination of cutting-edge silicon and a brilliant OLED display with a 240 Hz refresh rate in a sleek new design. Striking the balance between performance, precision and style, it’s less than 19.9 millimeters thick at its thinnest and is specifically designed for versatility in supporting demanding gaming and creative applications at a more accessible price point. It supports up to Intel Core Ultra 9 processor 275HX with an integrated NPU for AI gaming and up to the new Nvidia GeForce RTX 5070 Ti Laptop GPU, up to 32 GB of memory and 2 TB of storage. Its OLED WQXGA display features a fast 240 Hz refresh rate and a wide color gamut supports 100% DCI-P3 for best-in-class visuals, Nvidia G-SYNC technology and NVIDIA Advanced Optimus. The Acer Predator Helios Neo 16S AI (PHN16S-71) will be available in North America in April starting at $1,700. Acer Predator XB323QX gaming monitor Acer Predator gaming monitor. The Acer Predator XB323QX gaming monitor features an expansive 31.5-inch 5K IPS display with a 144 Hz refresh rate and 0.5 ms (GTG) response time. Nvidia G-Sync Pulsar supports stunningly clear images and buttery smooth action. With true 10-bit color depth, the monitor displays cinematic visuals, further enhanced by 95% DCI-P3 or 99% sRGB color gamut support. It’s also equipped with DisplayPort 1.4 and two HDMI 2.1 ports. The Acer Predator XB323QX will be available in North America in Q3. Pricing will be disclosed closer to launch. source

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Keys to accelerating innovation with your existing SAP systems

With the end of mainstream support for major SAP versions looming large, SAP shops may feel pressure to accelerate a shift to cloud. But more and more are learning they no longer have to stress over vendor-imposed deadlines. Leveraging third-party support, enterprises can reclaim the power dynamic, reaping value from their on-premises SAP estate while moving as fast as they’d like toward their innovation goals. “Under SAP’s program, SAP customers are not able to upgrade at their own pace or according to their own priorities,” says Scott Hays, senior director of product marketing at Rimini Street. “It’s like driving a paid-for vehicle that runs great, and you want to add a new feature to the car. Instead of being able to modernize what you have, the vendor wants you to lease a whole new vehicle.” Third-party support advantage: accelerating innovation Third-party support and services programs like those offered by Rimini Street give IT leaders the flexibility to determine and follow their own innovation timeline. Instead of vendor-imposed upgrades that may not suit customers’ current or even near-future needs, Rimini Street allows enterprises to: Remain on the stable, operational SAP version they have Have full support available for up to 15 additional years Reduce SAP annual maintenance fees by up to 50% and save up to 90% in total support costs Free up budget to fund strategic initiatives like AI, IoT and other emerging technologies With third-party support, IT teams can focus on building a solid business case for their next-generation ERP instead of being pressured into a rushed SAP migration. Enterprises are also well-positioned to avoid the grueling and costly upgrade process, the scramble for elusive talent to migrate to S/4HANA and the potential for business disruptions that threaten core services. “ERP migrations are prone to risk and failure — they take too long, are too expensive and can cause disruptions,” Hays says. “They’re projects that can make headlines if they go wrong.” How Rimini Street helps you innovate on your timetable With Rimini Street third-party support as the bridge, SAP customers can also get a leg up on accelerating innovation. Budget allowances not spent on new SAP support and subscriptions can instead be channeled to modernize the rest of the IT tech stack with emerging technologies such as data analytics and artificial intelligence, including generative AI. Working with a trusted partner like Rimini Street, enterprises can keep dollars flowing in the right direction, self-funding innovation unencumbered by SAP’s onerous upgrade schedule and fee structure. Korean tire manufacturer, Nexen, is one such business applying this strategy for innovation. Jae-Hoon Jung, information strategy team leader, stated, “Our vision is to stabilize our current SAP platform while we establish strategies and roadmap for utilizing core technologies in AI, big data and cloud. We have an aggressive business goal to meet ahead, and we want to make smart IT decisions on our own timeline, supported by the right partner.” Rimini Street also delivers professional services, Rimini ConsultÔ, to help clients optimize and modernize around the ECC core without having to migrate to S/4HANA in the cloud or RISE with SAP. For example, core functions such as accounting, payroll and order management can be maintained in SAP ECC with the help of third-party support from Rimini Street. At the same time, the third-party software support leader can help clients design a composable ERP strategy that enables them to innovate around the edges using best-in-class products and technologies in areas like cloud, CRM, HCM, mobile, big data and AI/generative AI. “We view Rimini Street as a strategic business partner who is well-positioned and capable in their ability to support and guide us as we take on new challenges for our SAP and other systems,” said Shinya Hidaka, group manager of information systems at santec Holdings Corporation, a photonics manufacturer. They leveraged Rimini Consult for professional services when a merger required a swift split of its SAP systems in addition to ongoing support for those systems. “Innovation is something you need in order to stay competitive and profitable, and it’s not something you should wait for,” Hays says. “You need to take back the control and autonomy from SAP to innovate when and where it’s most important to you.” Taking the ROI-positive path Rimini Street has provided SAP customers around the globe with proven support services that include direct access to expert-level engineers and that are built on best practices developed through years of hands-on experience. Unlike the vendor, Rimini Street maintains SAP customizations at no extra cost as part of its support plans, delivering experienced engineering and quality assurance teams that will build and test fixes before clients release them to production. In addition, tax, legal and regulatory updates are developed and delivered regardless of software version for more than 100 countries and territories around the world. With a business-driven, ROI-positive approach, SAP licensees no longer have to march to the beat of SAP’s drum. With full control over their own ERP and cloud migration strategy and roadmap, companies can accelerate their innovation strategy at their own pace and in their chosen direction — with or without SAP. To learn more about how Rimini Street can provide you with new SAP options, visit here . source

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Google maps the future of AI agents: Five lessons for businesses

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More A new Google white paper, titled “Agents“, imagines a future where AI takes on a more active and independent role in business. Published without much fanfare in September, the 42-page document is now gaining attention on X.com (formerly Twitter) and LinkedIn. It introduces the concept of AI agents — software systems designed to go beyond today’s AI models by reasoning, planning and taking actions to achieve specific goals. Unlike traditional AI systems, which generate responses based solely on pre-existing training data, AI agents can interact with external systems, make decisions and complete complex tasks on their own. “Agents are autonomous and can act independently of human intervention,” the white paper explains, describing them as systems that combine reasoning, logic and real-time data access. The idea behind these agents is ambitious: They could help businesses automate tasks, solve problems and make decisions that were once handled exclusively by humans. The paper’s authors, Julia Wiesinger, Patrick Marlow and Vladimir Vuskovic, offer a detailed breakdown of how AI agents work and what they require to function. But the broader implications are just as important. AI agents aren’t merely an upgrade to existing technology; they represent a shift in how organizations operate, compete and innovate. Businesses that adopt these systems could see dramatic gains in efficiency and productivity, while those that hesitate may find themselves struggling to keep up. Here are the five most important insights from Google’s white paper and what they could mean for the future of AI in business. 1. AI agents are more than just smarter models Google argues that AI agents represent a fundamental departure from traditional language models. While models like GPT-4o or Google’s Gemini excel at generating single-turn responses, they are limited to what they’ve learned from their training data. AI agents, by contrast, are designed to interact with external systems, learn from real-time data and execute multi-step tasks. “Knowledge [in traditional models] is limited to what is available in their training data,” the paper notes. “Agents extend this knowledge through the connection with external systems via tools.” This difference is not just theoretical. Imagine a traditional language model tasked with recommending a travel itinerary. It may suggest ideas based on general knowledge, but lacks the ability to book flights, check hotel availability or adapt its recommendations based on user feedback. An AI agent, however, can do all of these things, combining real-time information with autonomous decision-making. This shift positions agents as a new type of digital worker capable of handling complex workflows. For businesses, this could mean automating tasks that previously required multiple human roles. By integrating reasoning and execution, agents could become indispensable for industries ranging from logistics to customer service. A breakdown of how AI agents use extensions to access external APIs, such as the Google Flights API, for task execution. (Image Credit: Google) 2. A cognitive architecture powers their decision-making At the heart of an AI agent’s capabilities is its cognitive architecture, which Google describes as a framework for reasoning, planning and decision-making. This architecture, known as the orchestration layer, allows agents to process information in cycles, incorporating new data to refine their actions and decisions. Google compares this process to a chef preparing a meal in a busy kitchen. The chef gathers ingredients, considers the customer’s preferences and adapts the recipe as needed based on feedback or ingredient availability. Similarly, an AI agent gathers data, reasons about its next steps and adjusts its actions to achieve a specific goal. The orchestration layer relies on advanced reasoning techniques to guide decision-making. Frameworks such as reasoning and acting (ReAct), chain-of-thought (CoT) and tree-of-thoughts (ToT) provide structured methods for breaking down complex tasks. For instance, ReAct enables an agent to combine reasoning and actions in real time, while ToT allows it to explore multiple possible solutions simultaneously. These techniques give agents the ability to make decisions that are not only reactive but also proactive. According to the paper, this makes them highly adaptable and capable of managing uncertainty and complexity in ways that traditional models cannot. For enterprises, this means agents could take on tasks such as troubleshooting a supply chain issue or analyzing financial data with a level of autonomy that reduces the need for constant human oversight. The flow of an AI agent’s decision-making process, from user input to tool execution and final responses. (Image Credit: Google) Traditional AI models are often described as “static libraries of knowledge,” limited to what they were trained on. AI agents, on the other hand, can access real-time information and interact with external systems through tools. This capability is what makes them practical for real-world applications. “Tools bridge the gap between the agent’s internal capabilities and the external world,” the paper explains. These tools include APIs, extensions and data stores, which allow agents to fetch information, execute actions and retrieve knowledge that evolves over time. For example, an agent tasked with planning a business trip could use an API extension to check flight schedules, a data store to retrieve travel policies and a mapping tool to find nearby hotels. This ability to interact dynamically with external systems transforms agents from static responders into active participants in business processes. Google also highlights the flexibility of these tools. Functions, for instance, allow developers to offload certain tasks to client-side systems, giving businesses more control over how agents access sensitive data or perform specific operations. This flexibility could be essential for industries like finance and healthcare, where compliance and security are critical. A comparison of agent-side and client-side control, illustrating how AI agents interact with external tools like the Google Flights API. (Image Credit: Google) 4. Retrieval-augmented generation makes agents smarter One of the most promising advancements in AI agent design is the integration of retrieval-augmented generation (RAG). This technique allows agents to query external data sources — such as vector databases or structured documents — when their training data

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