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New Granite 3.0 8B & 2B models, released under the permissive Apache 2.0 license, show strong performance across many academic and enterprise benchmarks, able to outperform or match similar-sized models New Granite Guardian 3.0 models deliver IBM's most comprehensive guardrail capabilities to advance safe and trustworthy AI New Granite 3.0 Mixture-of-Experts models enable extremely efficient inference and low latency, suitable for CPU-based deployments and edge computing New Granite Time Series model achieved state-of-the-art performance in zero/few-shot forecasting, outperforming models 10 times larger IBM unveils next generation of Granite-powered watsonx Code Assistant for general purpose coding; Debuts new tools in watsonx.ai for building and deploying AI applications and agents Announces Granite will become the default model of Consulting Advantage, an AI-powered delivery platform used by IBM's 160,000 consultants to bring new solutions to clients faster ARMONK, N.Y., Oct. 21, 2024 /PRNewswire/ -- Today, at IBM's (NYSE: IBM) annual TechXchange event the company announced the release of its most advanced family of AI models to date, Granite 3.0. IBM's third-generation Granite flagship language models can outperform or match similarly sized models from leading model providers on many academic and industry benchmarks, showcasing strong performance, transparency and safety. IBM Granite Consistent with the company's commitment to open-source AI, the Granite models are released under the permissive Apache 2.0 license, making them unique in the combination of performance, flexibility and autonomy they provide to enterprise clients and the community at large. IBM's Granite 3.0 family includes: General Purpose/Language: Granite 3.0 8B Instruct, Granite 3.0 2B Instruct, Granite 3.0 8B Base, Granite 3.0 2B Base Guardrails & Safety: Granite Guardian 3.0 8B, Granite Guardian 3.0 2B Mixture-of-Experts: Granite 3.0 3B-A800M Instruct, Granite 3.0 1B-A400M Instruct, Granite 3.0 3B-A800M Base, Granite 3.0 1B-A400M Base The new Granite 3.0 8B and 2B language models are designed as 'workhorse' models for enterprise AI, delivering strong performance for tasks such as Retrieval Augmented Geneneration (RAG), classification, summarization, entity extraction, and tool use. These compact, versatile models are designed to be fine-tuned with enterprise data and seamlessly integrated across diverse business environments or workflows. While many large language models (LLMs) are trained on publicly available data, a vast majority of enterprise data remains untapped. By combining a small Granite model with enterprise data, especially using the revolutionary alignment technique InstructLab – introduced by IBM and RedHat in May – IBM believes businesses can achieve task-specific performance that rivals larger models at a fraction of the cost (based on an observed range of 3x-23x less cost than large frontier models in several early proofs-of-concept1). The Granite 3.0 release reaffirms IBM's commitment to building transparency, safety, and trust in AI products. The Granite 3.0 technical report and responsible use guide provide a description of the datasets used to train these models, details of the filtering, cleansing, and curation steps applied, along with comprehensive results of model performance across major academic and enterprise benchmarks. Critically, IBM provides an IP indemnity for all Granite models on watsonx.ai so enterprise clients can be more confident in merging their data with the models. Raising the bar: Granite 3.0 benchmarks The Granite 3.0 language models also demonstrate promising results on raw performance. On standard academic benchmarks defined by Hugging Face's OpenLLM Leaderboard, the Granite 3.0 8B Instruct model's overall performance leads on average against state-of-the-art-performance of similar-sized open source models from Meta and Mistral. On IBM's state-of-the-art AttaQ safety benchmark, the Granite 3.0 8B Instruct model leads across all measured safety dimensions compared to models from Meta and Mistral.2 Across the core enterprise tasks of RAG, tool use, and tasks in the Cybersecurity domain, the Granite 3.0 8B Instruct model shows leading performance on average compared to similar-sized open source models from Mistral and Meta.3 The Granite 3.0 models were trained on over 12 trillion tokens on data taken from 12 different natural languages and 116 different programming languages, using a novel two-stage training method, leveraging results from several thousand experiments designed to optimize data quality, data selection, and training parameters. By the end of the year, the 3.0 8B and 2B language models are expected to include support for an extended 128K context window and multi-modal document understanding capabilities. Demonstrating an excellent balance of performance and inference cost, IBM offers its Granite Mixture of Experts (MoE) Architecture models, Granite 3.0 1B-A400M and Granite 3.0 3B-A800M, as smaller, lightweight models that could be deployed for low latency applications as well as CPU-based deployments. IBM is also announcing an updated release of its pre-trained Granite Time Series models, the first versions of which were released earlier this year. These new models are trained on 3 times more data and deliver strong performance on all three major time series benchmarks, outperforming 10 times larger models from Google, Alibaba, and others. The updated models also provide greater modeling flexibility with support for external variables and rolling forecasts.4 Introducing Granite Guardian 3.0: ushering the next era of responsible AI As part of this release, IBM is also introducing a new family of Granite Guardian models that permit application developers to implement safety guardrails by checking user prompts and LLM responses for a variety of risks. The Granite Guardian 3.0 8B and 2B models provide the most comprehensive set of risk and harm detection capabilities available in the market today. In addition to harm dimensions such as social bias, hate, toxicity, profanity, violence, jailbreaking and more, these models also provide a range of unique RAG-specific checks such as groundedness, context relevance, and answer relevance. In extensive testing across 19 safety and RAG benchmarks, the Granite Guardian 3.0 8B model has higher overall accuracy on harm detection on average than all three generations of Llama Guard models from Meta. It also showed on par overall performance in hallucination detection on average with specialized hallucination detection models WeCheck and MiniCheck.5 While the Granite Guardian models are derived from the corresponding Granite language models, they can be used to implement guardrails alongside any open or proprietary AI models. Availability of Granite 3.0 modelsThe entire suite of Granite 3.0 models and the updated time series models are available for download on HuggingFace under the permissive Apache 2.0 license. The instruct variants of the new Granite 3.0 8B and 2B language models and the Granite Guardian 3.0 8B and 2Bmodels are available today for commercial use on IBM's watsonx platform. A selection of the Granite 3.0 models will also be available as NVIDIA NIM microservices and through Google Cloud's Vertex AI Model Garden integrations with HuggingFace. To help provide developer choice and ease of use and support local, edge deployments, a curated set of the Granite 3.0 models are also available on Ollama and Replicate. The latest generation of Granite models expand IBM's robust open-source catalog of powerful LLMs. IBM has collaborated with ecosystem partners like AWS, Docker, Domo, Qualcomm Technologies, Inc. via its Qualcomm® AI Hub, Salesforce, SAP, and others to integrate a variety of Granite models into these partners' offerings or make Granite models available on their platforms, offering greater choice to enterprises across the world. Assistants to Agents: realizing the future for enterprise AI IBM is advancing enterprise AI through a spectrum of technologies – from models and assistants, to the tools needed to tune and deploy AI specifically for companies' unique data and use-cases. IBM is also paving the way for future AI agents that can self-direct, reflect, and perform complex tasks in dynamic business environments. IBM continues to evolve its portfolio of AI assistant technologies – from watsonx Orchestrate to help companies build their own assistants via low-code tooling and automation, to a wide set of pre-built assistants for specific tasks and domains such as customer service, human resources, sales, and marketing. Organizations around the world have used watsonx Assistant to help them build AI assistants for tasks like answering routine questions from customers or employees, modernizing their mainframes and legacy IT applications, helping students explore potential career paths, or providing digital mortgage support for home buyers. Today IBM also unveiled the upcoming release of the next generation of watsonx Code Assistant, powered by Granite code models, to offer general-purpose coding assistance across languages like C, C++, Go, Java, and Python, with advanced application modernization capabilities for Enterprise Java Applications.6 Granite's code capabilities are also now accessible through a Visual Studio Code extension, IBM Granite.Code. IBM also plans to release new tools to help developers build, customize and deploy AI more efficiently via watsonx.ai – including agentic frameworks, integrations with existing environments and low-code automations for common use-cases like RAG and agents.7 IBM is focused on developing AI agent technologies which are capable of greater autonomy, sophisticated reasoning and multi-step problem solving. The initial release of the Granite 3.0 8B model features support for key agentic capabilities, such as advanced reasoning and a highly-structured chat template and prompting style for implementing tool use workflows. IBM also plans to introduce a new AI agent chat feature to IBM watsonx Orchestrate, which uses agentic capabilities to orchestrate AI Assistants, skills, and automations that help users increase productivity across their teams.8 IBM plans to continue building agent capabilities across its portfolio in 2025, including pre-built agents for specific domains and use-cases. Expanded AI-powered delivery platform to supercharge IBM consultants with AI IBM is also announcing a major expansion of its AI-powered delivery platform, IBM Consulting Advantage. The multi-model platform contains AI agents, applications, and methods like repeatable frameworks that can empower 160,000 IBM consultants to deliver better and faster client value at a lower cost. As part of the expansion, Granite 3.0 language models will become the default model in Consulting Advantage. Leveraging Granite's performance and efficiency, IBM Consulting will be able to help maximize the return-on-investment for the generative AI projects of IBM clients. Another key part of the expansion is the introduction of IBM Consulting Advantage for Cloud Transformation and Management and IBM Consulting Advantage for Business Operations. Each includes domain-specific AI agents, applications, and methods infused with IBM's best practices so IBM consultants can help accelerate client cloud and AI transformations in tasks, like code modernization and quality engineering, or transform and execute operations across domains, like finance, HR and procurement. To learn more about Granite and IBM's AI for Business strategy, visit https://www.ibm.com/granite. 1 Cost calculations are based on API cost per million tokens pricing of IBM watsonx for open models and openAI for GPT4 models (assuming blend of 80% inout, 20% output) for customer proofs-of-concept.2 IBM Research technical paper: Granite 3.0 Language Models3 IBM Research technical paper: Granite 3.0 Language Models4 The Tiny Time Mixer: Fast Pre-Trained Models for Enhanced Zero/Few Shot Forecasting on Multivariate Time Series5 Evaluation results published in Granite Guardian GitHub Repo6 Planned availability for Q4 20247 Planned availability for Q4 20248 Planned availability for Q1 2025 Media Contact:Amy Angelinialangeli@us.ibm.com
美國新澤西州東盧瑟福2024年10月18日 /美通社/ -- Cambrex是一家領先的全球委託開發暨製造組織（CDMO）。該公司今天宣佈其穩定性存儲業務Q1 Scientific在美國北卡羅來納州杜罕（Durham）開設了一個全新的cGMP設施，擴大了其對北美製藥、醫療器械和生命科學行業提供環境控制穩定性儲存服務的能力。 新設施位於研究三角公園（Research Triangle Park）地區，是一個最先進的溫控和監控存儲設施，配備7個ICH穩定性試驗室，涵蓋包括2-8°C、25°C/相對濕度（RH）60%、30°C/相對濕度（RH）65%、30°C/相對濕度（RH）75%以及40°C/相對濕度（RH）75%等多種存儲條件，還提供-20°C和超低溫（-70°C/-80°C）存儲條件。該設施位於美國北卡羅來納州的研究三角公園（RTP），能夠提供全美當日和次日交付服務。 Cambrex行政總裁Tom Loewald表示：「自2022年收購Q1 Scientific以來，我們已策略性地擴大了我們的業務足跡，為全球客戶提供更佳服務。這一首個北美設施的開幕標誌著Q1 Scientific成長的重要里程碑。」 Q1 Scientific的擴展補充了其在愛爾蘭沃特福德（Waterford）和比利時列日（Liège）現有設施的能力，並與Cambrex在杜罕（Durham）的現有分析服務網站共同設置。 Q1 Scientific董事總經理Stephen Delaney補充道：「憑藉位於杜罕的能力和專業知識，我們現在可以提供穩定性存儲以外的服務，例如臨床和商業產品的穩定性測試和其他分析服務。」 Cambrex繼續擴大其在北美和歐洲網絡的能力和產能，以滿足對外判藥物開發和製造服務日益增長的需求。 Cambrex簡介 Cambrex是全球領先的合約開發和製造組織（CDMO），在整個藥物生命週期中負責開發和製造藥物，以及提供全面的分析和IND支援服務。 Cambrex擁有40多年的豐富經驗和一支由2000名專家組成的團隊，為北美和歐洲的環球客戶提供服務，提供一系列專業原料藥技術和能力，包括連續流、受管制物質、固態科學、材料表徵和高效活性藥物成分（API）。 Q1 Scientific（Cambrex旗下公司）簡介 Q1 Scientific是Cambrex旗下公司，是為製藥、醫療器械和生命科學行業提供環境控制穩定性儲存服務的領先供應商。Q1 Scientific憑藉十年的專業知識，在愛爾蘭和比利時最先進的設施，能夠保護重要突破和足以改變生活的創新。透過採用Q1 Scientific的服務，公司可以加快新藥進入市場，同時避免建造和監控自家儲存室的費用。Q1 Scientific於2022年6月獲Cambrex收購。
Grexie Signchain enables developers to sign off-chain data into smart contracts, with self-hosted or secure vault signer wallet management. MANCHESTER, England, Oct. 18, 2024 /PRNewswire/ -- Grexie Limited proudly announces the launch of its innovative smart contract solution, Signchain, on November 1st, 2024. Designed specifically for developers, Signchain introduces a powerful way to bring off-chain data on-chain through user-paid gas fees and secure signing of data into smart contract methods using its extendable smart contract, Signable. Signchain Data Flow In the growing landscape of blockchain technology, securely managing off-chain data and integrating it into on-chain smart contracts has posed significant challenges for developers. Signchain eliminates these hurdles by offering a robust, gas-efficient system for signing and authenticating data in real-time. Key Features of Signchain: 1. Seamless Off-Chain to On-Chain Data IntegrationSignchain enables developers to securely bring off-chain data on-chain by signing it directly into smart contract methods through user-paid gas fees. This integration ensures that data authenticity is preserved, and its entry into the blockchain remains tamper-proof, streamlining processes for industries relying on real-world data verification. Signchain also supports integration with Google Sheets, AWS, and Firebase, making it easy to pull data from popular off-chain data sources. 2. Extendable Smart Contract – SignableThe core of Signchain's technology is its extendable smart contract, Signable, which allows developers to customize and build upon existing smart contracts. With Signable, developers can easily implement contract signatures for any data type, offering flexibility across industries from finance to logistics and beyond. 3. Signer Wallet ManagementSignchain offers comprehensive signer wallet management as part of its service, empowering developers to manage and authenticate signers effectively. Wallets can either be self-hosted using Signchain's Docker container for those who prefer their own infrastructure, or they can leverage Signchain's network of secure vaults for maximum security. 4. Self-Hosted or Managed ServiceFor developers who want full control of their infrastructure, Signchain provides a self-hosted option via Docker containers, allowing them to deploy the platform on their own servers. Alternatively, developers can opt to use Signchain's secure vault network, offering a hassle-free solution with enterprise-grade security and wallet management. 5. User-Paid Gas FeesBy integrating a user-paid gas fee model, Signchain allows users to cover the costs of signing and authenticating their data, ensuring the signing process is efficient and doesn't overburden developers with additional expenses. This makes Signchain an ideal solution for dApps and platforms handling high transaction volumes. 6. Google Sheets, AWS, Firebase Integration with Serverless ModelSignchain supports integration with Google Sheets, AWS, and Firebase in a serverless model, powered by a hosted Sign In With Ethereum (SIWE) implementation provided by Signchain's API. Developers can simply connect their Google Sheets and configure the contract parameters associated with each column. Signchain will automatically look up the user's wallet address in the spreadsheet, sign the transaction data, and execute it in the blockchain along with any user-supplied parameters. This creates an easy, efficient way to manage data inputs from off-chain sources without heavy infrastructure setup. Revolutionizing Smart Contract Workflows With Signchain, developers now have the tools to handle the complexities of integrating off-chain data into smart contracts. The extendable nature of Signable offers flexibility, allowing developers to cater to various use cases, whether it's automating financial transactions, supply chain data, or verifying legal agreements. Tim Behrsin, CEO of Grexie Limited, said, "Signchain is more than just a signing solution—it's a platform that empowers developers to securely integrate off-chain data into their smart contracts with minimal effort. The flexibility of Signable and our focus on signer wallet management offers developers control and security at every stage of the process." Why Signchain Matters Signchain addresses critical challenges faced by developers, particularly those dealing with off-chain data. By signing data into smart contracts and enabling user-paid gas fees, the platform significantly reduces friction in managing secure, scalable smart contracts. Whether developers need to manage high volumes of data transactions or create bespoke smart contracts, Signchain offers a scalable and secure solution. In industries like DeFi, real estate, and supply chain management, data integrity and security are paramount. Signchain's secure vault network and customizable signing workflows allow businesses to handle sensitive information with confidence. Launch Event and Future Developments The official launch of Signchain will take place on November 1st, 2024, alongside a virtual event. The event will showcase live demonstrations of Signable, with detailed walkthroughs of the Docker-based self-hosted solution and signer wallet management features. Attendees will also get an exclusive preview of future enhancements, including multi-signature workflows and advanced blockchain network integrations. About Signchain Signchain is a cutting-edge platform developed by Grexie Limited, based in Manchester, Cheshire, United Kingdom. Signchain simplifies smart contract development by offering a secure, scalable, and customizable solution for signing and authenticating off-chain data on-chain. Developers can either self-host the solution using Signchain's Docker container or rely on the network's secure vault infrastructure. With an emphasis on security, flexibility, and developer experience, Signchain is set to transform how smart contracts handle off-chain data. For more information, visit signchain.net. PDF - https://mma.prnewswire.com/media/2533539/Signchain_Whitepaper.pdf
外送服務的便利性、多樣性和舒適性，以及對於節省時間和享受促銷優惠的需求，使得它成為忙碌的現代人受歡迎的選擇之一，目前又有新的美食外送平台隆重登場。本土美食外送平台CASH POWER浣熊外送，挾持著「友善店家 合作0抽成」的口號，現今知名度火爆，雙北店家及消費者族群紛紛加入，目標邁向「台灣第二大美食外送平台」。 CASH POWER浣熊外送在雙北知名度氣勢如虹，探究原因為餐廳店家合作零抽成：CP浣熊外送目前提供「雙北終身免抽成、月費與商品上架費用」與業主共體時艱(有時間與名額上的限制！)；每筆訂單運費固定：日前根據全國外送產業工會初步建議，每單基本運費60元，夜間加收20元、送上樓加5元，最快11月上路。但CP浣熊外送秉持著「使用者付費」的精神，在每單金額達成「最低消費」時，明訂總運費60元，業主支付30元、消費者也支付30元；首創真人客服：過往消費者點餐外送時，舉凡店家少送、誤送餐點，消費者往往只能透過線上層層操作，最後得到「制式文字」的回覆；同時，規模較小的店家對於每月結帳金額有誤，或是品牌曝光率不足的問題反應，平台也幾乎都施予軟釘子或冷處理。在此問題上，CP浣熊外送採用LINE官方帳號「真人客服」，讓處理方式更具溫度與即時性；𦖛請正職員工並與LALAMOVE 攜手合作：尖峰時段、下雨天外送人員不足，主因來自於通常外送員皆屬於「兼職」僱傭關係，並非正職員工，以及奬懲制度有些瑕疵，因此外送員能夠自由選擇要不要接單，而導致消費者權受損。「外送到府效率不落人後」是CP浣熊外送奉行的理念，因此我們除了與LALAMOVE 攜手合作解決人手不足的問題外，更𦖛請正職員工 ( 底薪 + 奨金 )，為雙北地區提供就業機會。 CP浣熊外送已在台北市試營運，消費者加入平台意願十分熱絡。 CASH POWER執行長高志銘表示，CP企圖打造的是一個沒有店家抽成，具人性化且溫暖的消費市場。我們要的是企業的永續經營以及創造在社會上更大的價值，而非讓外送平台可隨心所欲的調整價格，使薪資變化趕不上物價變化；此外，夥伴在工作途中享有應有的保障亦是我們十分注重的福利。除了效率十足的外送機制外，我們更提供了多元的店家取餐、店家掃碼等APP雲端機制，使得店家及消費者獲得更便利、合理且完善的訂餐模式。 「外送找CP，價格最CP」是現在雙北店家間最流行的口號！ 最後，CP浣熊外送強調「我們是台灣人，我們以台灣為榮」！希望台灣人民能鼎力支持本土品牌，或許我們不是台灣第一個外送品牌，但我們自詡CP浣熊外送絕對會是最接地氣、最懂台灣心的外送平台。 CASHPOWER 官方網址 : https://www.cpcashpower.com
Marking the 175th Anniversary of the Invention of the Telephone, Sinch Highlights Key Trends and Innovations Shaping the Next Era of Customer Engagement ATLANTA and STOCKHOLM, Oct. 17, 2024 /PRNewswire/ -- Sinch (Sinch AB (publ) – (XSTO: SINCH) — As the world commemorates the 175th anniversary of Antonio Meucci's groundbreaking invention of the telephone, Sinch, which is pioneering the way the world communicates through its Customer Communications Cloud, is ushering in the next era of customer interaction. Sinch is at the forefront of this transformation by developing and delivering products that empower businesses to meet consumer expectations through seamless, rich multi-channel experiences. To celebrate this important milestone in human communication, Sinch commissioned a survey in North America to explore the future of customer engagement. The survey findings offer valuable insights, revealing that while rich, app-like experiences on platforms such as RCS, WhatsApp, and WeChat are already common in other parts of the world, the U.S. market lags behind in adopting these interactive messaging capabilities. However, this gap presents an exciting opportunity for innovation, allowing U.S. brands to leap forward and enhance customer engagement through advanced technologies. As the survey indicates, the shift from traditional communication methods to AI-powered, multimedia-rich experiences is accelerating. This evolution is critical, especially as brands prepare for high-stakes shopping events like Black Friday and Cyber Monday, where seamless, interactive engagement will be key to meeting growing consumer expectations. Key Survey Insights: RCS is poised to enhance mobile messaging: A substantial 67.3% of respondents expect RCS to become the preferred messaging platform, emphasizing the growing demand for richer, more engaging mobile communication experiences (especially as customers seek interactive and real-time support during major shopping days.) Younger generations embrace AI chatbots for shopping: Over 45% of Gen Z and millennial respondents (ages 18-44) expressed a willingness to use chatbots for Black Friday shopping, showcasing the increasing reliance on AI to enhance the retail experience. AI-driven communication is gaining momentum: 50% of respondents predict that AI and chatbots will dominate customer experiences within the next decade, signaling a major shift toward automation and personalized experiences. This evolution is particularly relevant as brands prepare to manage interactions during peak shopping periods like Black Friday and Cyber Monday. With technologies like RCS, brands can deliver richer, real-time engagement, from personalized recommendations to seamless shopping experiences, enhancing the overall customer journey and experience during high demand periods. Customer service remains a critical differentiator: An overwhelming 75% of respondents said that excellent customer experiences enhance brand loyalty, reinforcing the importance of investing in AI and RCS to deliver seamless, customer-centric solutions, especially during peak shopping seasons. "Our survey confirms what we've long anticipated: AI and RCS are revolutionizing customer communication," said Sean O'Neal, Chief Product Officer at Sinch. "As businesses seek to create more meaningful, dynamic, and personalized experiences, Sinch's advanced solutions are empowering brands to engage with their audiences in more effective and creative ways." The invention of the telephone by Antonio Meucci in 1849 laid the foundation for modern communication, later enhanced, and popularized by Alexander Graham Bell. Just as Meucci's groundbreaking work transformed human connection 175 years ago, the rise of AI and RCS is now revolutionizing how brands engage with customers, offering richer, more interactive, and personalized experiences. Unlocking the full potential of RCS will require widespread adoption across mobile carriers, operating systems, businesses, and consumers. Sinch is uniquely positioned to lead this transformation, leveraging our strong carrier relationships, longstanding partnerships with companies like Google, and our proven ability to drive industry change. With our robust product suite—including solutions like RCS Upscale and Conversation API—we simplify access to RCS, making it easier for businesses to adopt and integrate, further accelerating the shift toward this new communication standard. As RCS adoption grows, next year's Black Friday and Cyber Monday shopping season is set to be redefined by dynamic, real-time customer interactions. Leading this evolution, Sinch empowers brands with innovative tools to fully harness these technologies and elevate customer engagement. For more information about Sinch's RCS and AI solutions, please visit the Sinch website. For further information, please contact: Janet Lennon, Director of Global PR & Communicationsjanet.lennon@sinch.com |1-206-914-6175 This information was brought to you by Cision http://news.cision.com https://news.cision.com/sinch-ab/r/sinch-unveils-new-survey-on-the-future-of-customer-communication,c4052436
台北2024年10月17日 /美通社/ -- 區塊鏈分析和調查解決方案領域的龍頭企業Crystal Intelligence將於10月26日在台灣台北與台灣虛擬資產反洗錢協會（TVA3）合作舉行面對面的加密貨幣合規與調查培訓課程。 這項專為執法機構、調查員、合規專業人員及法律專家設計的培訓計劃，旨在加強台灣防禦與加密貨幣相關、日益增長的罪案（包括詐騙、騙局和清洗黑錢）。隨著這些威脅越來越普遍，當地當局對於掌握必要的知識和工具以便有效追蹤和調查區塊鏈交易的需求日益增加。 彌補加密貨幣調查中的知識差距 儘管台灣刑事警察局（CIB）、法務部調查局（MJIB）等主要機構已經努力應對，當地執法機構通常仍缺乏有效處理加密貨幣犯罪所需的專業訓練。台灣虛擬資產反洗錢協會（TVA3）秘書長陳采履（Charlie Chen）表示：「當地執法機構與國際組織之間對加強培訓和更好合作的需求相當迫切。」「Crystal Intelligence的合規和交易監控工具對於彌補這些差距至關重要。」 透過提供這項綜合培訓，Crystal Intelligence和台灣虛擬資產反洗錢協會（TVA3）旨在賦能當地執法官員，讓他們掌握實用技能，以追蹤嫌疑人並追回被盜資產，從而改變台灣區塊鏈犯罪的調查方式。 該培訓將以針對台灣特定情境的實際案例研究為特色，為參與者提供可操作的見解和有效的策略。 日期： 2024年10月26日 登記註冊：https://crystalintelligence.com/crypto-investigations-compliance-training/#taiwan 關於Crystal IntelligenceCrystal是一家領先的區塊鏈智能公司，為金融機構、執法部門和監管機構提供實時區塊鏈分析、調查及合規解決方案。我們的解決方案幫助金融機構高效遵守全球反清洗黑錢規定。調查人員和政府機構利用Crystal的尖端技術和獨特的實時情報來解決加密貨幣調查。我們提供免費的區塊鏈瀏覽器、軟件即服務（SaaS）或應用程式接口（API）。 www.crystalintelligence.com
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