II-SDV 2015, 20 - 21 April, in Nice
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Slalom Consulting is a business and technology consulting firm with over 2,700 consultants across 16 offices in North America and London. Their primary service areas include data visualization, customer and marketing analytics, predictive modeling, data mining, Alteryx, and technical architecture. The document discusses data science and analytical methods like reporting/visualization, market basket analysis, customer lifetime value, and attrition analysis that Slalom utilizes to provide insights for their clients.
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he II-SDV meeting takes place in Nice in April 2016 for an intensive two days. Venue is the Hotel Plaza in central Nice. The meeting provides an international forum for those in the field of advanced search applications, data and text mining, and visualization technology. The primary focus is on tools for intelligence and the meeting examines the requirements of specialists in scientific and technical information.
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This document discusses opportunities and challenges around data science in the financial services industry. It begins with defining data science and providing an overview of trends in data science. It then discusses four key challenges facing the financial industry: compliance, profitability and solvency growth, competitive advantage, and gaining insights from customer behavior, risk management, product optimization, and reporting. The document outlines various levels of analytics maturity and provides examples of how descriptive, predictive, and integrated analytics can be used in areas like customer analytics, risk management, and portfolio optimization. It concludes by discussing future trends in data science and artificial intelligence.
Déjeuner Conférence - L'analyse prédictive agile avec SAP Predictive Analytic...
Les bénéfices de l’analyse prédictive sont trop souvent sous-utilisés dans les entreprises.Que ce soit par un manque d’expertise à l’interne ou, par une lourdeur du processus de mise à disposition des modèles statistiques, cette réalité limite l’utilisation de l’analyse prédictive au sein de l’entreprise.
SAP Predictive Analytics 2.0, démultiplie les possibilités d’utiliser l’analyse prédictive dans vos processus d’affaires. Sans forcément avoir de connaissance en statistique, les lignes d’affaires pourront avoir accès à la puissance d’un outil d’analyse prédictive complet dans leurs travaux au quotidien.
De plus, cet outil permet même de satisfaire les statisticiens les plus chevronnés grâce à un tout nouveau mode ‘’expert’’ inclus dans la version 2.0
Bruno Delahaye, VP Analyse Prédictive chez SAP, vous illustrera les capacités de l’outil à travers des cas clients comme ceux de Walmart, Rogers, RBC, Equifax et HMV.
Pourquoi participer?
- Voyez, avec l'aide de démonstrations, comment vous pouvez optimiser vos processus d’affaires, et apporter de meilleurs résultats d’affaires en toute confiance avec des analyses prédictives.
- Découvrez comment plusieurs entreprises de diverses industries comme Sears, Walmart, Rogers, RBC, Equifax et HMV utilisent actuellement la puissance, la rapidité et la facilité d'utilisation de SAP Predictive Analytics.
- Informez-vous sur comment cet outil peut réduire drastiquement le temps pour déployer des solutions prédictives en automatisant la construction de modèles prédictifs.
Who is 1010data?
An overview of 1010data - how we view the retailers & manufacturer markets we serve, the problems we see, and how we solve them
How RingCentral Optimized Account-Based Insights and Buyer Intelligence To Ra...
Access the full webcast here: https://dg-r.co/2L5QdrM
Data fuels every marketer’s strategy, but not all data is created equal. To be successful today, marketers need to be able to effectively analyze, optimize and maintain data accuracy as the first steps to gaining true insight. This is particularly true for account-based programs, where visibility into key decision makers is imperative. As the saying goes, “Garbage in, garbage out.” If the data going into your CRM is incomplete, incorrect or simply not the right data, any programs that rely on that data will deliver disappointing results.
During this webinar, David Cowings, Chief Marketing Data Scientist at RingCentral, and Chris Lynde, CEO of SaleScout Data Solutions, will share the steps needed to optimize buyer contact data and sales intelligence, with real-life insights from RingCentral’s demand gen data optimization process.
How the World's Leading Independent Automotive Distributor is Reinventing Its...
In this captivating session, we'll unveil the profound impact of AI, poised to revolutionise the business landscape. Prepare to shift your perspective, as we transition from the lens of a data scientist to the visionary mindset of a product manager. We're about to demystify the captivating world of Generative AI, dispelling myths and illuminating its remarkable potential. We will also delve into the pioneering applications that Inchcape is leading, pushing the boundaries of what's achievable. Join us for an exhilarating journey into the future of AI, where professionalism meets unparalleled excitement, and innovation takes center stage!
Analyst Webinar: Doing a 180 on Customer 360
451 Research Analyst Sheryl Kingstone, and Cloudera’s Steve Totman recently discussed how a growing number of organizations are replacing legacy Customer 360 systems with Customer Insights Platforms.
Rplus Retail analytics solution
Rplus offers analytics solution for retail industry through cloud based DemandSense application and big data analytics platform. Retail companies can leverage data to improving the profitability and efficiency of operations at a low cost in a faster timeframe.
InspireEurope-2016-London-KPMG 0909
Nicholas Metzgen presents on finding value in mergers and acquisitions through the use of data analytics. He launched a new team at KPMG that uses Alteryx and proprietary code to provide faster key value driver analysis for clients doing M&A deals. The traditional model of M&A analysis spends most time on data integration and least on analysis, but the new SPI model integrates data quickly and increases time for customized analysis. SPI provides granular insights at the transactional level that go beyond traditional financial due diligence. This helps clients find hidden value and opportunities.
NOW 2022 Conference Lora Cecere
This document discusses lessons from the COVID-19 pandemic for supply chains. It emphasizes embracing data and investing in new forms of analytics. The pandemic highlighted the importance of organizational alignment, analytics, and inventory management. It also showed that companies with digital transformation strategies did better. Going forward, companies need to redefine time horizons, address latency issues, and imagine customer-centric supply chains of the future.
Data Visualization Report
This report summarizes data from hundreds of prospective business intelligence and data visualization software buyers from 2012 to 2014. It found that 70% were seeking dashboard or visualization solutions with reporting capabilities. Nearly all (95%) wanted an integrated suite rather than best-of-breed products. The most common industries represented were manufacturing and healthcare, each making up 10% of buyers. Nearly half (46%) of buyers held IT roles, and 30% were looking to improve data management with more effective visualization methods.
5 Ways to Improve Sales Performance with Analytics
In this e-book, we'll look at some trends in the use of analytics by sales—including what's working and what's not—then look at 5 ways to improve sales performance with analytics.
Delphi spot nov 2014
This newsletter provides an overview of analytics and highlights some ways organizations are using analytics. It discusses how 140 million customer interactions can be analyzed to understand customers and how analytics is beginning to be used beyond basic reporting. Examples are given of analytics being used for customer segmentation, risk mitigation, and reducing transportation costs. Predictive analytics and big data are also discussed.
Customer Experience: A Catalyst for Digital Transformation
Customer experience is a catalyst in many digital transformation projects. It is why many businesses invest in new technologies and processes to more effectively engage customers, constituents, or employees. The goal of putting digital tools to work in a transformative way is to ensure that data and insights connect people with information and processes that ultimately lead to a better experience for customers. Yet, it demands a modern approach that considers all of the platforms, processes, and data across the customer journey. The goal for many organizations is dynamically maintaining a single source of truth about each customer to drive personalized experiences based on individual preferences and behaviors.
However, businesses today have primarily invested in systems of record. While these systems are critical for managing internal operational processes, they are typically not effective for today's pace of business change. Insight-driven experiences require customer intelligence platforms that can finally create a customer 360. The deeper data and improved algorithms now available let users factor in individual affinity, segment, and a myriad of growing data sources. The result is greater relevance and effectiveness to deliver a differentiated experience that in today’s competitive landscape is not a luxury, but a necessity for survival.
In this session we will address:
3 things to learn:
•Leaders and Laggards of digital transformation
•How to create data-driven customer insights
•The importance of machine learning to uncover hidden insights
Digital Catapult's Innovation Optimism Index
The Innovation Optimism Index surveyed 500 businesses on their attitudes to innovation and their potential for growth.
2014 Retail Insight: The Impact of Omni-Channel Trends for 2014 and Beyond
You are invited to view a complimentary webinar featuring retail industry experts from Retail Systems Research (RSR) and SPS Commerce. Based on their latest research, including the 2014 Retail Insights industry benchmark report, you’ll learn what strategies your peers are deploying to improve omni-channel performance in 2014.
The webinar provides insights on:
• The state of the retail market—how many retailers have or will adopt the omni-channel? What steps are they taking?
• Which external and internal forces will impact retail the most in the upcoming years?
• Which technology and business areas are retailers, vendors and logistics firms making significant investments in 2014?
Big Data Analytics in light of Financial Industry
Big data and analytics have the potential to transform economies and competition by delivering new productivity growth. Effective use of big data can increase operating margins over 60% for retailers and save $300 billion in US healthcare and $250 billion in European public sector. Companies that improve decision making through big data have seen a 26% performance improvement over 3 years on average. Emerging technologies like self-driving cars will rely heavily on analyzing vast amounts of real-time sensor data.
A change manifesto for the CIO: A business perspective by Hugh Terry
This are the slides from a presentation to the 3rd Annual AIR CIO conference in Singapore on November 21, 2014.
Similar to II-SDV 2015, 20 - 21 April, in Nice (20)
Behavioural Analysis PowerPoint Presentation Slides
Behavioural Analysis PowerPoint Presentation Slides
Déjeuner Conférence - L'analyse prédictive agile avec SAP Predictive Analytic...
Déjeuner Conférence - L'analyse prédictive agile avec SAP Predictive Analytic...
How RingCentral Optimized Account-Based Insights and Buyer Intelligence To Ra...
How RingCentral Optimized Account-Based Insights and Buyer Intelligence To Ra...
How the World's Leading Independent Automotive Distributor is Reinventing Its...
How the World's Leading Independent Automotive Distributor is Reinventing Its...
5 Ways to Improve Sales Performance with Analytics
5 Ways to Improve Sales Performance with Analytics
Customer Experience: A Catalyst for Digital Transformation
Customer Experience: A Catalyst for Digital Transformation
2014 Retail Insight: The Impact of Omni-Channel Trends for 2014 and Beyond
2014 Retail Insight: The Impact of Omni-Channel Trends for 2014 and Beyond
A change manifesto for the CIO: A business perspective by Hugh Terry
A change manifesto for the CIO: A business perspective by Hugh Terry
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AI-SDV 2022: Henry Chang Patent Intelligence and Engineering Management
This document describes a metadata list of patent holders in various countries and regions compiled by Muchiu (Henry) Chang. The list is sorted geographically and includes patent holder names from Canada, China, Hong Kong, Macao, Taiwan, the Middle East, and Europe between 2009-2022. Key features include Chinese-English compatibility and use of open source intelligence. The list has previously been utilized by the Region of Peel in Ontario, Canada.
AI-SDV 2022: Creation and updating of large Knowledge Graphs through NLP Anal...
Knowledge Graphs are an increasingly relevant approach to store detailed knowledge in many domains. Recent advances in NLP allow to enrich Knowledge Graphs through automated analysis of large volumes of literature, reducing a lot the efforts in traditional manual information capturing. In our presentation we report the approach taken in a project with partner Fraunhofer SCAI in the life sciences where a knowledge graph organising detailed facts about psychiatric diseases has been computed.
Information of cause-effect relations between proteins, genes, drugs and diseases has been encoded in the BEL (Biological Expression Language) and imported into a Graph database to approach an indication-wide Knowledge Graph for the selected therapeutic area. Ultimately, updating the graph will amount to just rerunning the analysis on the newly published literature.
AI-SDV 2022: The race to net zero: Tracking the green industrial revolution t...
In 2019 the UK was the first major economy to embrace a legal obligation to achieve net zero carbon emissions by 2050. More broadly, the 2021 UK Innovation Strategy sets out the UK government’s vision to make the UK a global hub for innovation by 2035 with a target of increasing public and private sector R&D expenditure to 2.4% of GDP to support the UK being a science superpower with a world-class research and innovation system.
IP rights create an incentive for R&D which ultimately leads to innovation. Analysis and insights from IP data can therefore help provide a better understanding of how the IP system is being used and where and what innovation is taking place. Research and analysis of IP data is a key input to the ongoing work of the UKIPO’s Green Tech Working Group which seeks to:
further the UK’s status as a global leader by making the UK’s IP environment the best for innovating green technology;
develop and deliver IP policies to support government’s ambition on climate change and green technologies; and
to help innovators best protect and commercialise their green tech innovations both at home and internationally.
The UKIPO has been developing a broad portfolio of ‘green’ IP analytics research. A series of patent analytics reports have been published looking at green technologies, and analysis of how the UK’s Green Channel scheme for accelerated processing of green patent applications has been conducted. Patents have been used to identify technological comparative advantage within different green technologies at a country level, and new insights uncovered by mapping green technology patents to the UN Sustainable Development Goals (SDGs). Trade mark data provides a timeliness and closeness to market factor that patent data does not, and complementary trade mark analysis of UK ‘green’ trade marks, identified using a machine learning algorithm, provides a commercialisation angle to our research.
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Word embeddings, deep learning, transformer models and other pre-trained neural language models (sometimes recently referred to as "foundational models") have fundamentally changed the way state-of-the-art systems for natural language processing and information access are built today. The "Data-to-Value" process methodology (Leidner 2013; Leidner 2022a,b) has been devised to embody best practices for the construction of natural language engineering solutions; it can assist practitioners and has also been used to transfer industrial insights into the university classroom. This talk recaps how the methodology supports engineers in building systems more consistently and then outlines the changes in the methodology to adapt it to the deep learning age. The cost and energy implications will also be discussed.
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This document profiles Linda Andersson, the CEO of Artificial Researcher. It provides details on her background, awards, research fields, and academic merits. It then discusses how domain knowledge enables artificial intelligence systems to be smarter by allowing them to understand language and text in particular domains at a deeper level. Finally, it provides an overview of Artificial Researcher's natural language processing and text mining technologies and services for tasks like passage retrieval, ontology generation, and semantic search.
AI-SDV 2022: Embedding-based Search Vs. Relevancy Search: comparing the new w...
In 2013 we witnessed an evolutionary change in the NLP field evolved thanks to the introduction of space embeddings that, with the use of deep learning architectures, achieved human-level performances in many NLP tasks. With the introduction of the Attention mechanism in 2017 the results were further improved and, as result, embeddings are quickly becoming the de facto standards in solving many NLP problems. In this presentation, you will learn how generate and use space embedding for search purposes and provide comparison metrics to more traditional relevance-based search engines. Moreover, I will provide some initial results on a paper currently under review that provides an insight on hyperparameter tuning during the generation of embeddings.
AI-SDV 2022: Rolling out web crawling at Boehringer Ingelheim - 10 years of e...
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AI-SDV 2022: Machine learning based patent categorization: A success story in...
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AI-SDV 2022: Machine learning based patent categorization: A success story in...
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It is relatively easy for a human to read a document and quickly figure out which concepts are important. However, this task is a difficult challenge for a machine. During the past few decades, there have been two main approaches for concept identification: Natural Language Processing and Machine Learning. During the early part of this century, Machine Learning made great strides as new techniques came into wider use (SVM’s, Topic Modeling, etc..). Sensing the competition, Natural Language Processing responded with deployment of new emerging techniques (sematic networks, finite state automata, etc..). Neither approach has completely solved the WHAT problem. Advances in Artificial Intelligence have the potential to significantly improve the situation. Where AI is making the most impact is as an enhancement to make Machine Learning and Natural Language Processing work better and, more importantly, work together. This presentation looks at some of this history and what might happen in the future when we blend the interpretation of language with pattern prediction.
AI-SDV 2022: New Insights from Trademarks with Natural Language Processing Al...
This document discusses using natural language processing on trademark text data to gain insights. It presents research on how trademark activity changed during COVID-19, detecting emerging trends in trademarks over time, and classifying trademarks by industry. The research uses techniques like topic modeling and deep learning classifiers to analyze trademarks and identify patterns. The analysis of trademarks can provide economic indicators and reveal where businesses are focusing their innovation and market presence.
AI-SDV 2022: Extracting information from tables in documents Holger Keibel (K...
In our customer projects involving automated document processing, we often encounter document types providing crucial data in the form of tables. While established text analytics algorithms are usually optimized to operate on running text, they tend to produce rather poor results on tables as they do not capture the non-sequential relations inside them (e.g. interpret the content of a table cell relative to its column title, interpret line breaks inside a cell differently from line breaks between cells or rows). While there are elaborate information extraction products in the market for a few highly specific types of tabular documents, there is no general approach out there. The main cause for this is the fact that table structures can be encoded by a heterogenous range of layout means (e.g. column boundaries can be signaled by lines vs. aligned text vs. white space). In this talk, we will illustrate several solutions that we have developed for a range of challenges occurring in this context, both for scanned and digitally generated documents.
AI-SDV 2022: Scientific publishing in the age of data mining and artificial i...
Most scientific journals request, that the complete set of research data is published simultaneously with the peer-reviewed paper. The publication of the research data usually is carried out as so-called "Supplementary Material", attached to the original paper, or on a "Research Data Repository". Both forms have in common, that the data is published usually unstructured and not in an uniform machine processable format. This makes its further use in electronic tools for AI or data mining unnecessarily difficult or even impossible. A concept is presented, in which the data is digitally recorded, following the principle of FAIR data, as part of the publication process. This digital capture makes the data available to the scientific community for easy use in data mining and AI tools. The data in the repository contains links to the publication to document its origin. The concept is applicable for preprints, peer-review papers, diploma and doctoral theses and is particularly suitable for open access publications. Moreover, the presentation highlights correspondent activities, which were released in scientific publications recently.
AI-SDV 2022: AI developments and usability Linus Wretblad (IPscreener / Uppdr...
This document discusses using AI tools to improve patent search and analysis. It provides metrics on how well an AI system called IPscreener can retrieve patent citations compared to examiners. The metrics show recall rates increase with longer input text and when users provide additional context. Machine translation negatively impacts performance, but the AI can help users navigate patents by selecting relevant text segments. The goal is for AI to boost innovation by improving how users search for and understand prior art.
AI-SDV 2022: Where’s the one about…? Looney Tunes® Revisited Jay Ven Eman (CE...
How do you find video when you only have sparse data? While you can wander the stacks (if you can still find open stacks) for inspiration, video either physical or digital, is difficult to discover. Wandering the virtual stacks is, well, virtually impossible. Discovery platforms on the whole have not replicated the inspirational experience of wandering the stacks.
More companies are using archivable video for internal communication of the various research projects, product developments, test results, and more that are being considered, in progress, or completed. Showing how an experiment was conducted can convey considerably more information that is very difficult to communicate via text. How do you find a company video that might be helpful for your project?
A case study is presented of the problems and the solutions that were implemented by a large, multinational chemical company. A suite of content discovery technologies was used including a video to text to tagging system connected to their documents database and automatically indexed using several chemical as well as conceptual systems (rule-based, NLP, inference engine). To build the system and support the manuscript and video submission there is a metadata extraction program which pulls and inserts the metadata into the submission forms so the author can move quickly through that process.
AI-SDV 2022: Copyright Clearance Center
Copyright Clearance Center
A pioneer in voluntary collective licensing, CCC (Copyright Clearance Center) helps organizations integrate, access, and share information through licensing, content, software, and professional services. With expertise in copyright and information management, CCC and its subsidiary RightsDirect collaborate with stakeholders to design and deliver innovative information solutions that power decision-making by helping people integrate and navigate data sources and content assets. CCC recently acquired the assets and technology of Deep SEARCH 9 (DS9), a knowledge management platform that leverages machine learning to help customers perform semantic search, tag content, and discover new insights.
AI-SDV 2022: Lighthouse IP
Lighthouse IP is the world’s leading provider of intellectual property content. The core business of Lighthouse IP is sourcing and creating content from the world’s most challenging authorities. Specialized in IP data, Lighthouse IP provides over 160 countries coverage for patents, over 200 authorities for trademarks and over 90 authorities for designs. Lighthouse IP data is available via several partners. The company is headquartered in Schiphol-Rijk in the Netherlands and has offices in the United States, China, Thailand, Vietnam, Egypt, Indonesia and Belarus. Globally a team of 150 experts works on the creation of this unique data collection.
AI-SDV 2022: New Product Introductions: CENTREDOC
CENTREDOC was created in 1964 as the technical information center of the swiss watchmaking industry. Building on a strong team of engineers, CENTREDOC now offers a complete range of services and solutions for the monitoring of strategic, technological and competitive information. CENTREDOC is also a leader in the research of patent, technical and business intelligence, and offers consulting expertise in the implementation of monitoring solutions.
AI-SDV 2022: Possibilities and limitations of AI-boosted multi-categorization...
The everyday use of AI-driven algorithms for data search, analysis and synthesis comes with important time savings, but also reveals the need to understand and accept the limitations of the technology. Practical deployments on concrete topics are inevitable to assess and manage the challenges of neuronal network based AI. A workshop report.
AI-SDV 2022: Big data analytics platform at Bayer – Turning bits into insight...
What if there was a platform where literature, conference abstracts, patents, clinical trials, news, grants and other sources were fully integrated? What if the data would be harmonized, enriched with standardized concepts and ready for analysis? After building our patent analytics platform we didn’t stop dreaming and built our big data analytics platform by semantically integrating text-rich, scientific sources. In my presentation I will talk about what we built and why we built it. And, of course, I will also address the challenges and hurdles along the way. Was it worth it and what comes next? Let’s talk about it!
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快速办理(新加坡SMU毕业证书)新加坡管理大学毕业证文凭证书一模一样
学校原件一模一样【微信：741003700 】《(新加坡SMU毕业证书)新加坡管理大学毕业证文凭证书》【微信：741003700 】学位证，留信认证（真实可查，永久存档）原件一模一样纸张工艺/offer、雅思、外壳等材料/诚信可靠,可直接看成品样本，帮您解决无法毕业带来的各种难题！外壳，原版制作，诚信可靠，可直接看成品样本。行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备。十五年致力于帮助留学生解决难题，包您满意。
本公司拥有海外各大学样板无数，能完美还原。
1:1完美还原海外各大学毕业材料上的工艺：水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠。文字图案浮雕、激光镭射、紫外荧光、温感、复印防伪等防伪工艺。材料咨询办理、认证咨询办理请加学历顾问Q/微741003700
【主营项目】
一.毕业证【q微741003700】成绩单、使馆认证、教育部认证、雅思托福成绩单、学生卡等！
二.真实使馆公证(即留学回国人员证明,不成功不收费)
三.真实教育部学历学位认证（教育部存档！教育部留服网站永久可查）
四.办理各国各大学文凭(一对一专业服务,可全程监控跟踪进度)
如果您处于以下几种情况：
◇在校期间，因各种原因未能顺利毕业……拿不到官方毕业证【q/微741003700】
◇面对父母的压力，希望尽快拿到；
◇不清楚认证流程以及材料该如何准备；
◇回国时间很长，忘记办理；
◇回国马上就要找工作，办给用人单位看；
◇企事业单位必须要求办理的
◇需要报考公务员、购买免税车、落转户口
◇申请留学生创业基金
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
How to make a complaint to the police for Social Media Fraud.pdf
How to make a complaint to the police for Social Media Fraud.pdf
一比一原版(uc毕业证书)加拿大卡尔加里大学毕业证如何办理
原版一模一样【微信：741003700 】【(uc毕业证书)加拿大卡尔加里大学毕业证成绩单】【微信：741003700 】学位证，留信认证（真实可查，永久存档）原件一模一样纸张工艺/offer、雅思、外壳等材料/诚信可靠,可直接看成品样本，帮您解决无法毕业带来的各种难题！外壳，原版制作，诚信可靠，可直接看成品样本。行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备。十五年致力于帮助留学生解决难题，包您满意。
本公司拥有海外各大学样板无数，能完美还原。
1:1完美还原海外各大学毕业材料上的工艺：水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠。文字图案浮雕、激光镭射、紫外荧光、温感、复印防伪等防伪工艺。材料咨询办理、认证咨询办理请加学历顾问Q/微741003700
【主营项目】
一.毕业证【q微741003700】成绩单、使馆认证、教育部认证、雅思托福成绩单、学生卡等！
二.真实使馆公证(即留学回国人员证明,不成功不收费)
三.真实教育部学历学位认证（教育部存档！教育部留服网站永久可查）
四.办理各国各大学文凭(一对一专业服务,可全程监控跟踪进度)
如果您处于以下几种情况：
◇在校期间，因各种原因未能顺利毕业……拿不到官方毕业证【q/微741003700】
◇面对父母的压力，希望尽快拿到；
◇不清楚认证流程以及材料该如何准备；
◇回国时间很长，忘记办理；
◇回国马上就要找工作，办给用人单位看；
◇企事业单位必须要求办理的
◇需要报考公务员、购买免税车、落转户口
◇申请留学生创业基金
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
办理(uc毕业证书)加拿大卡尔加里大学毕业证【微信：741003700 】外观非常简单，由纸质材料制成，上面印有校徽、校名、毕业生姓名、专业等信息。
办理(uc毕业证书)加拿大卡尔加里大学毕业证【微信：741003700 】格式相对统一，各专业都有相应的模板。通常包括以下部分：
校徽：象征着学校的荣誉和传承。
校名:学校英文全称
授予学位：本部分将注明获得的具体学位名称。
毕业生姓名：这是最重要的信息之一，标志着该证书是由特定人员获得的。
颁发日期：这是毕业正式生效的时间，也代表着毕业生学业的结束。
其他信息：根据不同的专业和学位，可能会有一些特定的信息或章节。
办理(uc毕业证书)加拿大卡尔加里大学毕业证【微信：741003700 】价值很高，需要妥善保管。一般来说，应放置在安全、干燥、防潮的地方，避免长时间暴露在阳光下。如需使用，最好使用复印件而不是原件，以免丢失。
综上所述，办理(uc毕业证书)加拿大卡尔加里大学毕业证【微信：741003700 】是证明身份和学历的高价值文件。外观简单庄重，格式统一，包括重要的个人信息和发布日期。对持有人来说，妥善保管是非常重要的。
快速办理(Vic毕业证书)惠灵顿维多利亚大学毕业证完成信一模一样
学校原件一模一样【微信：741003700 】《(Vic毕业证书)惠灵顿维多利亚大学毕业证》【微信：741003700 】学位证，留信认证（真实可查，永久存档）原件一模一样纸张工艺/offer、雅思、外壳等材料/诚信可靠,可直接看成品样本，帮您解决无法毕业带来的各种难题！外壳，原版制作，诚信可靠，可直接看成品样本。行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备。十五年致力于帮助留学生解决难题，包您满意。
本公司拥有海外各大学样板无数，能完美还原。
1:1完美还原海外各大学毕业材料上的工艺：水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠。文字图案浮雕、激光镭射、紫外荧光、温感、复印防伪等防伪工艺。材料咨询办理、认证咨询办理请加学历顾问Q/微741003700
【主营项目】
一.毕业证【q微741003700】成绩单、使馆认证、教育部认证、雅思托福成绩单、学生卡等！
二.真实使馆公证(即留学回国人员证明,不成功不收费)
三.真实教育部学历学位认证（教育部存档！教育部留服网站永久可查）
四.办理各国各大学文凭(一对一专业服务,可全程监控跟踪进度)
如果您处于以下几种情况：
◇在校期间，因各种原因未能顺利毕业……拿不到官方毕业证【q/微741003700】
◇面对父母的压力，希望尽快拿到；
◇不清楚认证流程以及材料该如何准备；
◇回国时间很长，忘记办理；
◇回国马上就要找工作，办给用人单位看；
◇企事业单位必须要求办理的
◇需要报考公务员、购买免税车、落转户口
◇申请留学生创业基金
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
一比一原版新西兰林肯大学毕业证(Lincoln毕业证书)学历如何办理
原版办【微信号:95270640】【新西兰林肯大学毕业证(Lincoln毕业证书)】【微信号:95270640】《成绩单、外壳、雅思、offer、真实留信官方学历认证（永久存档/真实可查）》采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
【我们承诺采用的是学校原版纸张（纸质、底色、纹路）我们拥有全套进口原装设备，特殊工艺都是采用不同机器制作，仿真度基本可以达到100%，所有工艺效果都可提前给客户展示，不满意可以根据客户要求进行调整，直到满意为止！】
【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信号95270640】文凭即可
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信号95270640】即可
三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
留信网服务项目：
1、留学生专业人才库服务（留信分析）
2、国（境）学习人员提供就业推荐信服务
3、留学人员区块链存储服务
【关于价格问题（保证一手价格）】
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
选择实体注册公司办理，更放心，更安全！我们的承诺：客户在留信官方认证查询网站查询到认证通过结果后付款，不成功不收费！
Bengaluru Dreamin' 24 - Personal Branding
Session on Personal Branding presented at Bengaluru Dreamin
HijackLoader Evolution: Interactive Process Hollowing
CrowdStrike researchers have identified a HijackLoader (aka IDAT Loader) sample that employs sophisticated evasion techniques to enhance the complexity of the threat. HijackLoader, an increasingly popular tool among adversaries for deploying additional payloads and tooling, continues to evolve as its developers experiment and enhance its capabilities.
In their analysis of a recent HijackLoader sample, CrowdStrike researchers discovered new techniques designed to increase the defense evasion capabilities of the loader. The malware developer used a standard process hollowing technique coupled with an additional trigger that was activated by the parent process writing to a pipe. This new approach, called "Interactive Process Hollowing", has the potential to make defense evasion stealthier.
Securing BGP: Operational Strategies and Best Practices for Network Defenders...
Md. Zobair Khan,
Network Analyst and Technical Trainer at APNIC, presented 'Securing BGP: Operational Strategies and Best Practices for Network Defenders' at the Phoenix Summit held in Dhaka, Bangladesh from 23 to 24 May 2024.
Honeypots Unveiled: Proactive Defense Tactics for Cyber Security, Phoenix Sum...
Adli Wahid, Senior Internet Security Specialist at APNIC, delivered a presentation titled 'Honeypots Unveiled: Proactive Defense Tactics for Cyber Security' at the Phoenix Summit held in Dhaka, Bangladesh from 23 to 24 May 2024.
Recently uploaded (11)
How to make a complaint to the police for Social Media Fraud.pdf
How to make a complaint to the police for Social Media Fraud.pdf
HijackLoader Evolution: Interactive Process Hollowing
HijackLoader Evolution: Interactive Process Hollowing
Securing BGP: Operational Strategies and Best Practices for Network Defenders...
Securing BGP: Operational Strategies and Best Practices for Network Defenders...
Honeypots Unveiled: Proactive Defense Tactics for Cyber Security, Phoenix Sum...
Honeypots Unveiled: Proactive Defense Tactics for Cyber Security, Phoenix Sum...
II-SDV 2015, 20 - 21 April, in Nice
- 2.
- 3. Data Visualization (Tableau) Customer & Marketing Analytics Predictive Modelling Data Mining Alteryx Technical Architecture
- 4. A business and technology consulting firm with more than 2,700 consultants across 16 offices in North America and London. 4 Who is Slalom Consulting?
- 5. Our Primary Service Areas
- 6. Slalom IM&A
- 8. Predictive analytics is multifaceted and is changing rapidly Data scientists are expected to be multidimensional “Big Data” covers an extremely broad range of questions
- 9. Reporting/ Visualization Data Science This visualization shows that membership increased from 2013 to 2014 Analytical Methods Market Basket Analysis Customer Lifetime Value Attrition Analysis This tabular report shows that many customers bought salsa with other products, rather than by itself Our dashboard shows that there are certain customers who have purchased a lot of products from us 25% of customers have a high risk of cancelling their memberships and those customers make up 60% of revenue Salsa was purchased with chips 78% of the time, and salsa sales resulted in 4x more chip sales A predictive analysis incorporating demographics and acquisition cost shows which customers will be profitable for the rest of their lifetime
- 10. Operationalizing predictive analytics is a top priority… Source: TDWI Best Practices Report “Predictive Analytics for Business Advantage” Q1 2014 …but only 25% of organizations say that analytics drives day-to-day decisions
- 11.
- 12. • • •
- 13.
- 14. Ability to quickly identify top customers and customer characteristics Translation of predictive analytics into business insights Ability to filter and interact with dashboards iteratively
- 15.