香港《經濟導報》做中國企業出海的橋梁

主禮嘉賓合影留念共祝經濟導報社78周年華誕。 12月9日,香港《經濟導報》創刊78周年慶典暨首屆投資貿易國際高峰論壇在香港數碼港舉辦。參加論壇的有海內外知名的經濟學家、“一帶一路”沿線國家的外交官、粵港澳大灣區的商會領袖、企業家、內地有出海需求的政商代表。他們在會場碰撞知識火花、分享真知灼見。 成功舉辦創刊78周年慶典暨首屆投資貿易國際高峰論壇 本次論壇的主題是:“一帶一路”倡議下的新出海規劃。香港投資推廣署為本次論壇指導機構,香港中華總商會、香港中華廠商聯合會、香港工業總會、香港中華出入口商會、深圳市跨境電子商務協會、香港數碼港管理有限公司為本次論壇的協辦機構,香港新聞工作者聯會、香港期刊傳媒公會、全球商報聯盟為支持機構。 香港特區政府商務及經濟發展局局長丘應樺受特首李家超委托出席本次活動,他表示:“為了順應內地產業鏈向海外延伸的機遇,特區政府正努力建構香港成為跨國供應鏈管理中心,協助內地企業‘走出去’。綠色發展和科技創新是我們共建‘一帶一路’的關鍵機遇。新興市場的急速發展為‘一帶一路’沿路國家和地區帶來了新機遇。我們將繼續支持內地企業和香港企業合作,拓展國際市場,共同開發‘一帶一路’的商機。” 深圳報業集團社長、《經濟導報》社社長丁時照發表視頻致辭,對蒞臨本次論壇的嘉賓表示衷心的感謝。他說,我們要以更專業的角度解讀經濟熱點,以更新穎的方式講述中國故事,以更開放的胸懷連接全世界。 受丁時照委托,深圳報業集團社委會委員、副總編輯藍岸現場致辭。他表示,作為香港歷史最悠久的中文財經媒體,《經濟導報》致力於建立一個權威發聲平台,就全球經濟熱點話題展開深入解析,為中外企業對接貿易合作、投資布局提供智力支持。 本次論壇戰略合作夥伴權識國際(00381.HK)執行董事、聯席主席,加拿大社會科學院院士李立中在致辭時表示,香港作為中國面向世界的重要窗口,有著得天獨厚的優勢。而《經濟導報》紮根香港78載,始終秉持初心,全力促進“一帶一路”沿線經貿合作,力求將香港“紐帶”作用發揮到極致。 本次論壇國際範十足,得到了來自“一帶一路”國家的支持。俄羅斯駐港總領事Mr Anatoly Kargapolov作主題演講,馬來西亞駐港副總領事等多個國家的外交官出席活動,並進行現場互動。聯合國前秘書長、現任博鰲亞洲論壇理事長潘基文特別委派代表現場出席活動。 台灣大學財務金融系兼任教授劉憶如,香港特區政府引進重點企業辦公室主任任景信、亞太世界貿易商務聯盟會長李明星分別作主題演講。 香港立法會議員何君堯,香港國際金融學會主席、香港中文大學(深圳)公共政策學院教授及副院長肖耿,深圳跨境電商協會會長王馨就“2025,香港新變革與內地新機遇”議題進行圓桌討論,他們對香港經濟的未來充滿信心。 本次活動上,《經濟導報》搭建的香港首個“三合一”出海服務平台“一帶一路招商展示中心”正式啟動。該中心融“傳媒+招商+出海綜合服務”於一體,不僅可以常年展示城市形像、企業形像和產品形像,還可以為入駐單位設立在港“聯絡專員”,免費共享辦公空間,對接香港政界、商界資源,提供信息專項服務和新聞專訪及形像宣傳。它是經濟導報媒體改革的新舉措,也為內地政企赴港招商引資提供了新坐標。本次活動上還舉辦了中華媒體交流聯盟、國家對外文化貿易基地香港聯絡處授牌儀式。 《經濟導報》創刊於1947年1月1日,是香港歷史最悠久的中文財經雜志,也是幾代國家領導人關心重視的國際傳播平台。 LinkedIn Email Facebook Twitter WhatsApp source

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Employee Data Access Behaviors Hurting Australian Employers

More than 60% of Australian employees admit to bypassing their employer’s cybersecurity policies for convenience, according to identity security vendor CyberArk. Many also access workplace applications with non-secure personal devices. The CyberArk 2024 Employee Risk Survey, which polled 14,003 workers across the U.S., U.K., France, Germany, Australia, and Singapore in October 2024, revealed that Australian employees generally comply more with cybersecurity policies than other countries. However, most are still bypassing cyber policies to make their lives easier. CyberArk found common workarounds among Australian employees, including using one password across multiple accounts, using personal devices as WiFi hotspots, and forwarding corporate emails to personal accounts. SEE: Australian employees choosing convenience, speed over cyber security In the report, CyberArk’s CEO Matt Cohen said the overall findings show that “high-risk access is scattered throughout every job role,” potentially putting sensitive organizational data at greater risk. Australian employees access sensitive data from personal devices The CyberArk report found that most Australian employees (80%) access workplace applications — often containing business-critical data — from personal devices that often lack adequate security controls. This rate of personal device usage is significantly higher than the global average of 60%. Marketing departments were found to be the most likely (94%) to use personal devices to access work applications, followed by IT teams (93%). Concerningly, more than half (52%) of entry-level employees already had access to critical data with the workplace tools they used. Australians among slowest to update their personal device security Australian employees were found to be among the slowest globally to install firmware updates or security patches on their personal or BYOD devices upon release by vendors. Globally, over a third (36%) of employees surveyed said they do not immediately install security patches or software updates for all their personal devices. In addition, 26% disagreed they always use a VPN when they access work resources, increasing the risk of cyberattacks. Access to actions valuable for attackers widespread among employees The report found that widespread privileged access to systems allows many different employees to perform actions that would be considered highly valuable to attackers taking over their accounts: 40% of global respondents indicated they habitually download customer data. 33% are able to alter critical or sensitive data. 30% can approve large financial transactions. More Australia coverage Australian employees struggle with password reuse practices Password reuse was also common globally. The report found that 49% of employees surveyed used the same login credentials for multiple work-related applications. In Australia, 33% of employees chose to use the same login credentials for both personal and workplace applications and services. Globally, 41% of surveyed employees said they have shared workplace-specific confidential information with outside parties, which CyberArk said heightened the risk of security leaks and breaches. SEE: The pace of passkey adoption is lagging in Australia Productivity being prioritised over cybersecurity policies worldwide Employees globally are also bypassing cybersecurity policies to avoid friction. Among global respondents to CyberArk’s survey: 20% were using personal devices as Wi-Fi hotspots. 18% avoided installing an update because it takes too long. 18% use personal devices regularly instead of company-issued ones. 17% forward corporate emails to personal email accounts. Some Australian employees never adhere to guidelines for using AI tools Over 66% of Australian employees were found to be using AI tools. However CyberArk warned AI tools can introduce new vulnerabilities, such as when an employee puts sensitive data into them. This behaviour appears to be happening among Australian employees: Nearly 25% admitted to occasionally using AI tools that are unapproved or unmanaged by the organisation. SEE: Splunk urges Australian organisations to secure LLMs Additionally, over a third (33%) of Australian employees say they either “only sometimes” or “never” adhere to guidelines on handling sensitive information in their use of AI tools. IT and security pros advised to guide employees toward better practices Thomas Fikentscher, CyberArk’s area vice president for ANZ, noted that post-authentication breaches are expected to become even more common over time as Australian organisations continue to shift workflows to the cloud. He said organisations should not rely on MFA alone to protect against fraudulent activity. The CyberArk report also recommended that organisations reduce risky employee behaviours by adopting solutions that empower the workforce rather than slow it down. With AI use growing fast, CyberArk said that security teams need to recognise it is here to stay and that AI use should be considered when modernising security controls for the future. source

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Let's Revisit Quality Assurance

Today’s IT departments have an amalgamation of DevOps, Waterfall, artificial intelligence, and OS/new release software, so quality assurance must be able to test and to verify the “goodness” of all these variegated systems. Yet, those of us who have led IT departments know that the QA function is habitually under-appreciated.  Understanding that QA must broaden its reach to test such a broad spectrum of different systems, vendors have rolled out QA tools like the automated execution of test scripts that QA designs.  This has generated a steady market in QA testing software, which Global Market Insights pinpointed at $51.8 billion in 2023, with a projected CAGR (compound annual growth rate) of 7% between 2024 and 2032.  What IT departments should do now is strategize how a limited QA staff can best use these tools, while also developing the knowledge base and reach allowing them to cover the broad array of new applications and systems that QA is being asked to test.  Performing QA With No ‘Single Pane of Glass’  If you are in system programming or network support, you know that there are over-arching software solutions that boast “single pane of glass” visibility. These systems provide an overall architecture that enables you to unify visibility of all of the different tools and functions that you have on a single screen. Not all IT departments invest in these expensive software architectures, but at least they do exist.  Related:Rethinking AI’s Impact on Software Development and Testing That isn’t the case for quality assurance.  In QA, the “test bench” is a hodgepodge of different tools and techniques spread out on a general tool bench. When a staffer performs QA, they pick whatever tools they choose to use from this tool bench based upon the type of application they are being called upon to test.  If the application area to be tested is DevOps, QA is an iterative “never done” function that might use some test automation for workflow execution, but that also requires a high amount of collaboration between QA, development and end users until everyone arrives at a consensus that the application is production ready.   In the AI environment, testing is also iterative and never finished. You work with development and user area subject matter experts to achieve the gold standard of 95% accuracy with what subject matter experts would conclude. Then you must periodically reaffirm accuracy because business conditions constantly change, and accuracy levels could fall.   If the application is waterfall, it routes through the traditional path of development, unit test, integration test, regression test, deploy.   Related:Meeting Demands for Improved Software Reliability If the system is a new database or operating or infrastructure system release from a vendor, the new release is first simulated in a test environment, where it is tested and debugged. The new release gets installed into production when all testing issues in the simulated environment are resolved.   Each of these test scenarios requires a different mental approach to QA and a different set of tools.  Make QA a Strategic Function and Elevate its Standing?  Test tool provider Hatica has stated, “In the past, QA engineers were primarily focused on testing — finding bugs and ensuring that the product worked as intended before it was released to users. However, this reactive approach to quality is no longer enough in today’s environment. Before long, QA engineers will shift from being testers at the end of the process to quality strategists who are involved from the very beginning.”   In Agile and DevOps development, there already is an emerging trend for QA that confirms this. QA is immediately engaged in Agile and DevOps work teams, and the QA team provides as much input into the end-to-end DevOps/Agile process as development and end users. As IT departments move more work to Agile and DevOps, QA’s role as a frontend strategist will expand.  Related:DevOps Testing Trends for This Year However, in waterfall and new infrastructure release deployments, QA’s role is more backend and traditional. It performs “end of the line” checkouts and is often not engaged in the initial stages of development. AI also presents a QA challenge, because a separate data science or subject matter expert group might do most of the system development and checkout, so QA’s role is minimized.   The Best Approach to QA  Thanks to the Agile/DevOps movement, QA now sees a more forward-thinking and strategic role.  Yet at the same time, applications in the AI, waterfall, and infrastructure areas engage QA as more of a backend function.   QA is also knee-capped by the lack of a single architecture for its tools, and by the brutal fact that most of the staff in QA departments are new hires or junior personnel. Quickly, these individuals apply for transfers into application development, database or systems, because they see these as the only viable options for advancing their IT careers.  Understanding these realities, CIOs can do three things:  1. Move QA into a more strategic position in all forms of application development. Like the IT help desk, QA has a long institutional memory of the common flaws in IT applications. If QA is engaged early in application development processes, it can raise awareness of these common flaws so they can be addressed up front in design.  Accept as well that most QA staff members will want to move on to become a developer or an IT technical specialist and use QA as a grooming ground. To this end, the more QA gets engaged early in application planning and development, the more IT software knowledge QA staff will gain. This can prepare them for development or systems careers, if they choose to take these routes later.  2. Ensure that QA staff is properly trained on QA tools. There is no “uber architecture” available for the broad assortment of tools that QA uses, so personalized training is key.   3. Foster collaboration. In the Agile/DevOps environment, there is active collaboration between QA, development and end users. In AI development, CIOs can foster greater QA collaboration

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LendingTree Pushes FCC Again To Rework Lead Consent Rule

By Christopher Cole ( December 9, 2024, 6:52 PM EST) — Loan marketer LendingTree is making one more effort to persuade the Federal Communications Commission to trim the scope of its lead generation consent rule in hopes of seeing changes before the regulations take effect in January…. 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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Prepare Your Supply Chain Applications Portfolio For A Changing Trade Environment

Over recent weeks, many Forrester clients have asked us how prospective tariffs might impact their supply chain processes and supporting applications. What Is The Potential Impact Of New Tariffs On Manufacturing? While there is still a lot to speculate about concerning the wider implications of new tariffs, technology executives and supply chain leaders at US and international manufacturers should: Prepare for price increases. A new trade environment might involve increases in raw material costs, or you might reduce factory gate prices to maintain competitiveness in protected markets. You should review the digitization of your commercial relationships and contracts with suppliers, channels, and customers. Understand the impact of tariffs or quotas on terms of service and on price escalation clauses. Anticipate challenges in accounting for cost of goods sold. You should review your enterprise resource planning management of landed cost. Will there be more customs duty invoices arriving long after you sell the goods in stock? What does it mean for your calculation of cost of goods sold? How can you show the expected full landed cost to prospective customers on your website? How will your order management route orders to the most tariff-efficient production or shipping locations? Incorporate tariff barriers in your supply network planning. You should evaluate the role of smart manufacturing technologies in rebalancing offshore, nearshore, and onshore manufacturing to achieve resilience, sustainability, and cost objectives. Check your ability to support changing global trade compliance requirements. You should be able to automate export compliance with local content regulations within a free trade area, as well as compliance with the EU Supply Chain Act or US Department of Justice denied party lists. Rethink your new product introduction strategies. North American and European manufacturers will struggle to match the scale of rivals in developing economies that are targeting mass markets. They should invest in foundation technologies such as product lifecycle management and IT/OT integration as part of their manufacturing operations management support in order to pivot from competing on economies of scale to competing on economies of scope. Do You Need A Stack For Each Trading Block? Conduct a tariff-ready enterprise architecture review. Changing patterns of trade impact sourcing supply chain and production systems that are tracking the origin of raw material or component batches. This also affects sell-side applications such as commerce, CRM, and sales force automation. Given concerns about data sovereignty and protection of critical IP, you might need a stack for each regional trading block. You must map application linkages and workflows for multipolar export and import use cases to ensure that you can survive and thrive in any environment. Along with my colleagues Paul Miller, Michele Pelino, and Jeffrey Rajamani, I look forward to hearing your viewpoint on how best to flourish in the next four years. In the meantime, please book an inquiry to discuss our research and tools, and look out for our mass customization report with more details on how to pivot to a new age of manufacturing success. source

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6 Types of Network Address Translation: Which One to Use?

Network Address Translation (NAT) is one of the key technological concepts behind the performance of communication networks and the internet at large. NAT is a mechanism for converting private (local) IP addresses into public (global) IP addresses and vice versa. There are six main NAT types: static, dynamic, port address translation, overlapping, and masquerade. Understanding the functionality of each NAT type — as well as its purpose — is vital in helping you choose the right one to reap the most benefits. 1 RingCentral RingEx Employees per Company Size Micro (0-49), Small (50-249), Medium (250-999), Large (1,000-4,999), Enterprise (5,000+) Medium (250-999 Employees), Large (1,000-4,999 Employees), Enterprise (5,000+ Employees) Medium, Large, Enterprise Features Hosted PBX, Managed PBX, Remote User Ability, and more 2 Talkroute Employees per Company Size Micro (0-49), Small (50-249), Medium (250-999), Large (1,000-4,999), Enterprise (5,000+) Any Company Size Any Company Size Features Call Management/Monitoring, Call Routing, Mobile Capabilities, and more Network Address Translation, IPv4, and IPv6 It’s helpful to understand a little bit about how IP addressing works in order to understand the different types of NAT and the problems they solve. NAT enables efficient use of limited IPv4 addresses — there are only 4,294,967,296 possible 32-bit IPv4 addresses, which is not enough for every device worldwide — NAT allows organizations to maintain numerous private devices while requiring only a small number of public addresses for internet access. IPv6 is the next generation of internet protocol, designed to solve the IPv4 address shortage. Instead of 32-bit addresses, IPv6 uses 128-bit addresses. This creates an almost unlimited number of addresses — enough for every device on Earth to have its own unique identifier. IPv6 reduces the need for NAT, but it is still important in networks where IPv4 and IPv6 coexist. These mixed environments often rely on NAT to ensure smooth communication between devices using different protocols. As organizations transition to IPv6, understanding when and how to use NAT remains essential for maintaining efficient and reliable connections. The six types of Network Address Translation and what they do Once again, NAT is a technology that allows the use of private and public TCP/IP addresses by facilitating the translation between internal and external IP addresses. It involves routing and remapping IP addresses via routing devices such as firewalls and routers. Since you can’t use a private IP address to gain access to an external network like the internet, NAT ensures that a local host has internet access by translating local IP addresses into one or multiple global IP addresses. Conveniently, NAT allows a unique IP address to represent a whole group of devices and computers. In other words, NAT is what enables you to connect multiple electronic devices to your home router while using the same public IP address to access the internet. NAT is typically implemented by a router. In addition to facilitating address translation, NAT can serve a number of important additional purposes: Network security: Obscures internal IP addresses, adding a layer of protection against external threats. Firewall functionality: Filters traffic and blocks unauthorized access based on security rules. Port forwarding: Enables external access to internal services by forwarding specific ports to the appropriate devices. Load balancing: Distributes traffic across multiple servers for better resource utilization and traffic management. Session tracking: Ensures proper routing of incoming data by tracking active connections. Simplified network management: Reuses private IP addresses, reducing the need for public IP allocation. VPN support: Allows secure communication between devices on different networks by translating IP addresses. The following six types of Network Address Translation offer different means of improving network security, addressing connectivity issues, and solving performance problems. 1. Static NAT Description: This is a straightforward translation that maps a single private IP address to a corresponding public IP address. A static NAT must match the number of IP addresses on the local area network (LAN) with an equal number on the outside network. For this reason, Static NAT is also called balanced NAT. Purpose: Static networks are fixed because they provide one-to-one (or many-to-many) mapping, allowing the creation of a fixed translation to an actual address. As a result, their mappings provide a consecutive connection to the same address. Ultimately, Web and FTP servers favor using Network Address Translation because of its consistency and reliability. Benefits: Static networks reduce the problem of overlapping addresses while also providing a degree of protection for your registered public addresses. Static NAT can be more challenging to set up, but it is usually easier to manage and troubleshoot — leaving you with a low-maintenance network. Also, when you switch networks, you won’t face the hassle of having your IP addresses renumbered. Limitations: Since static networks have fixed IP addresses that don’t change, they are more susceptible to spoofing and hacking, as malicious actors can easily target them. These security risks make it critical to protect your network with firewalls and encryption. Additionally, a static NAT is bi-directional, meaning hosts can initiate connections both inside and outside the network. Of course, you need a policy to allow this, but it could still expose you to a significant security loophole. Finally, static Network Address Translation is also more expensive than its dynamic counterpart because it requires more public IP addresses for its implementation. These increased costs extend to your internet service provider (ISP), which will typically charge you more for the privilege of a dedicated IP address. Meanwhile, the inflexible nature of static IPs also forces you to change them manually if you ever move to another location. Best for: Static IP addresses are best for applications, processes, and protocols that require a consistent IP, such as web hosts, application servers, printers, routers, and gaming consoles. Example: In addition to one-to-one mapping, static NAT is bi-directional, allowing connections between an inside and outside address. For instance, assume you have a web server in your LAN with a private inside address of 172.17.1.0. Perhaps you want to make it accessible when a remote host makes a request to 209.165.200.10 (an

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CFPB Presses Forward with Rule to Wrangle Data Brokers

The Consumer Financial Protection Bureau (CFPB) on Tuesday signaled it would move ahead with a plan to expand the Fair Credit Reporting Act (FCRA) to include data brokers, which would limit companies’ ability to sell sensitive personal information. The rule would use FCRA to police the sale of financial data and credit scores, Social Security numbers, addresses, and phone numbers. CFPB says the protections are especially important with the rise of artificial intelligence. “By selling our most sensitive personal data without our knowledge or consent, data brokers can profit by enabling scamming, stalking, and spying,” Rohit Chopra, CFPB’s director, said in a statement. “The CFPB’s proposed rule will curtail these practices that threaten our personal safety and undermine America’s national security.” But the plan could hinge on President-elect Donald Trump’s cost-cutting measures. Trump tapped Elon Musk and entrepreneur Vivek Ramaswamy to lead the Department of Government Efficiency with the goal of cutting “waste and fraud.” Musk directly attacked the CFPB last week on X (formerly Twitter), calling for action to “Delete CFPB,” adding, “There are too many duplicative regulatory agencies.” The data broker industry is a big business with a massive lobbying spend — doling out $143 million on lobbying from 2020-2022, according to research from data privacy firm Incogni. The CFPB’s budget reached $729 million in 2024 with a total of 1,758 employees. The agency, which was the brainchild of US Sen. Elizabeth Warren (D-MA), boasts $19.6 billion in consumer relief since its inception in 2011. Related:FTC to Ban Firms From Selling Sensitive Location Data Adopted in 1970, FCRA was a landmark piece of legislation aimed at protecting consumer privacy initially aimed at financial institutions. The proposed rule would broaden the law to include data brokers and apply the same standards to consumer reporting agencies like Equifax, Experian, and Transunion. The new rule would apply to data brokers obtaining personal data relating to credit and financial assessment, making them demonstrate “permissible purpose” for sharing that information, and limiting use without consent. What the Incoming Administration Could Mean for CFPB Adam Rust, director of financial services for the Consumer Federation of America, tells InformationWeek in a phone interview that the proposed rule would be a major win for consumers. “People shouldn’t have to worry about their data being sold everywhere just because they want to apply for a loan,” Rust says. “[CFPB’s proposed rule] actually addresses a real-world problem that affects all kinds of people … We have all kinds of problems with data brokers relating to how they store information, and that’s led to widespread breaches.” Related:Beyond Washington, DC: The State of State-Based Data Privacy Laws Rust thinks the issue should be nonpartisan, but CFPB has detractors who believe the government’s role should be limited. “There are enemies of the CFPB because the CFPB is so successful at doing what it is designed to do. Billionaires don’t like the CFPB because they have to return billions of dollars to consumers. The financial institutions that are held accountable because of the CFPB are doing their best find friends in Washington D.C. who can rally to their cause.” While Musk’s comments toward CFPB put the agency in cost-cutting crosshairs, finding enough support to kill its consumer protection efforts could be a difficult task. Data privacy efforts, especially concerning sensitive information, have gained broad support. Last year, Sen. Marco Rubio (R-FL) fought for a bill to protect data of military members, preventing sale by data brokers to adversarial nations. The bill didn’t reach a vote, but data privacy remains a hot-button topic. Rubio is Trump’s choice for Secretary of State. A Bipartisan Cause? While members of the new administration may be gunning to trim operations like CFPB, they may have a hard time getting the 60 Senate member votes needed to nix the agency. Republicans won a majority of the Senate seats in November, but they hold 53 seats and could still be stymied by filibuster. Related:DOJ Urges Google Breakup, Targets Chrome, Android and Data Sharing Emily Peterson-Cassin, director of Demand Progress Education Fund, said protections that keep data out of the hands of threat actors should be bipartisan. “The CFPB should be applauded for standing up to data brokers and working to rein in the sale of sensitive information about us,” she said in a statement. “All this data ends up in the hands of advertisers, scammers, stalkers and even foreign governments. This groundbreaking rule offers a needed solution for Americans who are sick and tired of being inundated by scam texts, calls and emails …” She added that the proposed rule “would be a major win for the privacy rights of Americans and is the kind of bipartisan, commonsense action that should be protected and encouraged by politicians in both parties.” source

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松本清第12間分店正式進駐葵芳新都會廣場

※松本清香港葵芳新都會廣場店設計模擬圖 日本人氣連鎖藥妝店「Matsumoto Kiyoshi 松本清」香港第十二間分店將於 2024 年12月20日(星期五) 葵芳新都會廣場隆重開幕。今次松本清進駐葵青區的地標購物商場—新都會廣場,成為區內首間日本藥妝店品牌。 新都會廣場是葵青區內的商業、購物及娛樂集中地,毗鄰港鐵葵芳站,並設有有蓋行人天橋連接港鐵。商場匯聚多元化商戶,還有全天候戶外大型露天廣場,提供戶外餐飲區、兒童遊樂場等設施,並設有市區罕見的綠化空間。無論休閒玩樂、飲食購物都應有盡有!松本清滿載一應俱全的生活百貨,大家享受邊購物邊消遣,無論是區內居民或是上班族,松本清均可滿足不同顧客的需要。 葵芳新都會廣場店開幕優惠 優惠一 全店9折優惠 *折扣不適用於購買初生配方嬰兒奶粉及無折扣商品。|不可與電子支付平台優惠券及其他優惠券同時使用。優惠條款及細則以網站內容為準。 優惠二 消費折實滿HK$300送「HK$30優惠券」1張 *「HK$30優惠券」以每單消費折實滿HK$300即送1張。|「HK$30優惠券」於松本清香港全線分店消費滿HK$300使用1張(不可累積使用)。|優惠券使用期由2024年12月27日至2025年1月19日止。使用條款及細則以優惠券為準。 優惠三 消費折實滿HK$300即可獲贈「松本清購物袋」1個 *2024年12月20日至12月22日期間,每日限定200個,送完即止。|消費金額以每單折實總金額計算。|每人只限獲贈購物袋1次。 LinkedIn Email Facebook Twitter WhatsApp source

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The power of unified data storage with generative AI

The promise of generative AI (genAI) is undeniable, but the volume and complexity of the data involved pose significant challenges. Unlike traditional AI models that rely on predefined rules and datasets, genAI algorithms, such as generative adversarial networks (GANs) and transformers, can learn and generate new data from scratch. Training these models requires high-quality, diverse data to produce accurate, coherent, and contextually relevant output. The more comprehensive the training data, the better the model will perform in producing realistic and useful responses.  Organizations can find it overwhelming to manage this vast amount of data while also providing accessibility, security, and performance. For AI innovation to flourish, an intelligent data infrastructure is essential. This infrastructure must support data preparation, model training and tuning, retrieval augmented generation (RAG), and inferencing. Additionally, it should meet the requirements for responsible AI, including model and data versioning, data governance, and privacy. The data dilemma: Breaking down data silos with intelligent data infrastructure In most organizations, storage silos and data fragmentation are common problems—caused by application requirements, mergers and acquisitions, data ownership issues, rapid tech adoption, and organizational structure.  This fragmentation includes:  Different media types: high-performance flash, high-capacity flash, hybrid flash, hard disks  Multiple protocols: block, file, object Various deployment models: storage appliances, software-defined storage, storage as a service, public cloud storage Data fragmentation makes it difficult for data scientists and AI engineers to access necessary datasets. This is the primary reason why AI initiatives fail, according to IDC’s new survey, Scaling AI Initiatives Responsibly, commissioned by NetApp. Unified data storage resembles a well-organized library. In a modern library, every book, magazine, DVD, and digital media item is stored in one place and accessible from any section without hassle. Everything is categorized and readily available through a single system, regardless of whether you’re searching for a classic novel, a research journal, a documentary film, an ebook, or an encyclopedia (do they even produce those anymore?).  In the same way, intelligent data infrastructure brings together diverse data types under one cohesive umbrella. By combining access to file, block, and object-based storage from a single storage OS across corporate data centers, colocation facilities, and public clouds, unified data storage streamlines data access, enhances data management, and provides consistent data governance—providing silo-free infrastructure.  In genAI, this capability means providing structured, semi-structured, and unstructured data seamlessly to your data scientists. Whether you’re using RAG or fine-tuning a large language model (LLM), you can work with a rich and diverse dataset, regardless of location, to help provide nuanced language patterns, cultural references, and proprietary knowledge, making your AI more effective in producing accurate and domain-specific answers. With intelligent data infrastructure from NetApp, you can feel confident in data preparation, data security, and data mobility. You can select cloud-based AI services for compute-intensive training, a colocation facility to help with internal power constraints, or data center infrastructure to secure sensitive information. Our unified data storage solutions are designed to scale dynamically, making it easier to expand your storage performance and capacity as your genAI initiatives grow. This is the same NetApp® technology leveraged by the top three public cloud providers and available to you as a first-party cloud native storage service. Empowering innovation As genAI continues to reshape industries and drive innovation, the importance of unified data storage cannot be overstated. NetApp’s comprehensive suite of unified storage solutions provides the scalability, performance, and security needed to unlock the full potential of genAI. By streamlining data management workflows and maintaining the availability of critical resources, NetApp empowers organizations to accelerate their genAI initiatives and stay ahead in an increasingly competitive landscape. Intelligent data infrastructure is more than just a storage solution; it plays a strategic role in genAI innovation. With our industry-leading expertise and cutting-edge technologies, organizations can harness the power of genAI with confidence, driving transformative outcomes and unlocking new opportunities for growth. We make data infrastructure intelligent: any data, any workload, any environment. Explore more To explore further, visit the NetApp AI solutions page. Read more about NetApp AI thought leadership perspectives. If you missed out on our webinar where we talked through the survey results of IDC’s AI maturity model white paper, you can watch it on demand. source

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Anti-China Bias Tainted ADI Trade Secrets Case, 1st Circ. Told

By Brian Dowling ( December 9, 2024, 3:16 PM EST) — A former Analog Devices Inc. microchip engineer convicted of pilfering valuable design schematics to launch a competing business has told the First Circuit the government singled him out for prosecution due to his Chinese ethnicity and investigators’ hopes he would turn out to be a foreign spy…. 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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