information management



Singapore's national trade platform launches Tradeteq's AI-based credit rating system Global Trade Review (GTR)

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Singapore's digital national trade platform has launched Tradeteq's AI-based credit scoring system to enable its users to better assess counterparty risk in trade deals. The system is being used to leverage various data sources to provide thorough credit reports for users of Singapore's Networked Trade Platform (NTP), including data on each company in the supply chain as well as each receivable. The NTP is a digital national trade information management system backed by the Singaporean government, which aims to make trade flowing through Singapore more efficient. Launched in September last year, the NTP brings the entire trade ecosystem to a single online location, digitising the trade processing process. It replaced two existing trade facilitation platforms in Singapore, TradeXchange and TradeNet.


TechBytes with Mika Javanainen, VP of Product Marketing at M-Files

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As a VP of Product Marketing, I lead a team that focuses on different product marketing activities at M-Files: product positioning, value proposition and customer communications. My team also employs subject-matter experts for different processes and industries. They work closely with product development, marketing and customer success teams to ensure that we address the specific customer needs for various industries and their respective regulations. We use and follow almost all marketing technologies from ABM to Sales Automation to analytics. Marketing organizations typically use M-Files for collaboration, data governance, digital asset management, content management, talent management, customer intelligence and workflow.


Mathematics for Machine Learning: Linear Algebra Coursera

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In this course on Linear Algebra we look at what linear algebra is and how it relates to vectors and matrices. Then we look through what vectors and matrices are and how to work with them, including the knotty problem of eigenvalues and eigenvectors, and how to use these to solve problems. Finally we look at how to use these to do fun things with datasets - like how to rotate images of faces and how to extract eigenvectors to look at how the Pagerank algorithm works. Since we're aiming at data-driven applications, we'll be implementing some of these ideas in code, not just on pencil and paper. Towards the end of the course, you'll write code blocks and encounter Jupyter notebooks in Python, but don't worry, these will be quite short, focussed on the concepts, and will guide you through if you've not coded before.


WSJ News Exclusive Amazon Changed Search Algorithm in Ways That Boost Its Own Products

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Amazon.com Inc. has adjusted its product-search system to more prominently feature listings that are more profitable for the company, said people who worked on the project--a move, contested internally, that could favor Amazon's own brands. Late last year, these people said, Amazon optimized the secret algorithm that ranks listings so that instead of showing customers mainly the most-relevant and best-selling listings when they search--as it had for more than a decade--the site also gives a boost to items that are more profitable...


Data Engineer - IoT BigData Jobs

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Work with business users and data analysts to design and implement data integration flows into the enterprise warehouse. Use parallel processes and architectures in translating business requirements into data models. Work experience must have included: Computer Information Systems or related field and 3 years of experience in data warehousing and/or business intelligence systems. Other good to have familiarity or experience with Spark SQL/streaming, Java, Scala.


Amazon is said to have tweaked search algorithm to favor its own products

Daily Mail - Science & tech

It seems Amazon may be putting profits before customers. The Wall Street Journal has reported that the retail giant tweaked its product-search algorithms in order to favor its own'private label' and higher profit margin products– instead of what is most relevant for consumers. Programmers involved with the search algorithm are said to have opposed the change, as Amazon's principles stress they'work to earn and keep customer trust'. The changes were cited by sources familiar with the situation, who claimed Amazon's product-search system was changed last year. The Wall Street Journal has reported that the retail giant tweaked its product-search algorithms in order to favor its own'private label' and higher profit margin products– instead of what is most relevant for consumers Prior to the switch, algorithms would first show products that were bestsellers or relevant to what customers were looking to purchase.


How to Optimize Search Engine Strategies for Machine Learning Trend

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Machine learning is a way of analyzing data automatically using a type of analytical method! This AI will learn about information patterns and also make decisions with hardly any human advice. Machine learning is a method of analyzing data mechanically using a sort of analytical strategy! It's an artificial intelligence that may learn information patterns and also make decisions with small human advice. Artificial intelligence is the way of earning computers perform tasks which require intelligence.


Io-Tahoe Named a Leader in the Use of Artificial Intelligence for Data Management by Enterprise Management Associates (EMA)

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Io-Tahoe, a pioneer in Smart Data Discovery and AI-Driven Data Catalog products, in its efforts to continue to transform the data discovery market, today announced it has been named a Leader in the use of artificial intelligence (AI) and machine learning (ML) for data management in a new research report and decision guide from Enterprise Management Associates (EMA). The research report, which names Io-Tahoe a Leader, says companies which deploy AI-enabled analytics and data management solutions can potentially save up to $5,000,000 a year. EMA research also finds that they can create more value through enhancements such as increased speed of innovation; the report claims that 83 per cent of the companies surveyed are already seeing cost savings, along with a significant reduction in annual person-hours required to complete analysis of the data. "AI enablement signifies a major shift from passive to active use of metadata," said John Santaferraro, EMA's Research Director, Analytics, Business Intelligence, and Data Management. "The passive use of metadata focused on definitions and documentation, while the active use of metadata focuses on the delivery of services, such as data cataloguing, data governance, data discovery, and master data services."


Yes, you can add JSON structured data to the body of your pages - Search Engine Land

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JSON structured data can be inserted in the head as well as the body of your pages, Webmaster Trends Analyst John Mueller explained on the September 11 edition of #AskGoogleWebmasters. "Is it possible to insert JSON structured data at the bottom of the body instead of the head? It seems to work fine for many websites," asked user @largow via Twitter. Yes, you can insert JSON structured data either in the body or the head. Mueller also took this opportunity to explain the three structured data formats that Google supports. Rich results aren't going anywhere, so it's on SEOs to adapt their efforts to the search results page.