WhatsApp has introduced a new feature aimed at simplifying document sharing, enabling users to scan documents directly within the app. This functionality, included in the latest WhatsApp for iOS update (version 24.25.80), is smoothly integrated into the document-sharing menu. With this enhancement, users can quickly scan documents using their device's camera, eliminating the need for third-party scanning tools or apps. The said feature is being rolled out gradually, with more users expected to have access in the coming weeks, according to the latest WhatsApp changelog shared by WABetaInfo. ALSO READ | Merry Christmas 2024: Google Brings X-Mas-Themed Games To Make Waiting For Santa Claus' Gift Fun WhatsApp Scanning: How To Use To use it, WhatsApp users simply open the document-sharing menu and click on the "scan" option, which will activate the camera. Once the document is captured, users can preview the scan and make necessary adjustments. The app automatically suggests margins, but users have the option to fine-tune them for the best framing and clarity. Once satisfied with the scan, users can easily confirm and send the document directly to a chat or group, making the entire process smooth and efficient. This new feature marks a major advancement for WhatsApp, especially for users who need to share documents quickly while on the move. By eliminating the need to switch between different apps, it offers a seamless solution for capturing, editing, and sending scanned documents all within the app. First reported by WABetaInfo as part of the WhatsApp iOS 24.25.80 update, this feature has been gradually refined and expanded. By integrating it into the document-sharing menu, WhatsApp is enhancing its role as a comprehensive platform for communication and document exchange. As the feature becomes more widely available, it will save users time and reduce reliance on third-party applications, making document sharing faster and more efficient.Trudeau told Trump Americans would also suffer if tariffs are imposed, a Canadian minister says
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By ROB GILLIES, Associated Press TORONTO (AP) — Prime Minister Justin Trudeau told Donald Trump that Americans would also suffer if the president-elect follows through on a plan to impose sweeping tariffs on Canadian products , a Canadian minister who attended their recent dinner said Monday. Trump threatened to impose tariffs on products from Canada and Mexico if they don’t stop what he called the flow of drugs and migrants across their borders with the United States. He said on social media last week that he would impose a 25% tax on all products entering the U.S. from Canada and Mexico as one of his first executive orders. Canadian Public Safety Minister Dominic LeBlanc, whose responsibilities include border security, attended a dinner with Trump and Trudeau at Trump’s Mar-a-Lago club on Friday. Trudeau requested the meeting in a bid to avoid the tariffs by convincing Trump that the northern border is nothing like the U.S. southern border with Mexico . “The prime minister of course spoke about the importance of protecting the Canadian economy and Canadian workers from tariffs, but we also discussed with our American friends the negative impact that those tariffs could have on their economy, on affordability in the United States as well,” LeBlanc said in Parliament. If Trump makes good on his threat to slap 25% tariffs on everything imported from Mexico and Canada, the price increases that could follow will collide with his campaign promise to give American families a break from inflation. Economists say companies would have little choice but to pass along the added costs, dramatically raising prices for food, clothing, automobiles, alcohol and other goods. The Produce Distributors Association, a Washington trade group, said last week that tariffs will raise prices for fresh fruit and vegetables and hurt U.S. farmers when the countries retaliate. Canada is already examining possible retaliatory tariffs on certain items from the U.S. should Trump follow through on the threat. After his dinner with Trump, Trudeau returned home without assurances the president-elect will back away from threatened tariffs on all products from the major American trading partner. Trump called the talks “productive” but signaled no retreat from a pledge that Canada says unfairly lumps it in with Mexico over the flow of drugs and migrants into the United States. “The idea that we came back empty handed is completely false,” LeBlanc said. “We had a very productive discussion with Mr. Trump and his future Cabinet secretaries. ... The commitment from Mr. Trump to continue to work with us was far from empty handed.” Joining Trump and Trudeau at dinner were Howard Lutnick, Trump’s nominee for commerce secretary, North Dakota Gov. Doug Burgum, Trump’s pick to lead the Interior Department, and Mike Waltz, Trump’s choice to be his national security adviser. Canada’s ambassador to the U.S., Kirsten Hillman, told The Associated Press on Sunday that “the message that our border is so vastly different than the Mexican border was really understood.” Hillman, who sat at an adjacent table to Trudeau and Trump, said Canada is not the problem when it comes to drugs and migrants. On Monday, Mexico’s president rejected those comments. “Mexico must be respected, especially by its trading partners,” President Claudia Sheinbaum said. She said Canada had its own problems with fentanyl consumption and “could only wish they had the cultural riches Mexico has.” Related Articles Flows of migrants and seizures of drugs at the two countries’ border are vastly different. U.S. customs agents seized 43 pounds of fentanyl at the Canadian border during the last fiscal year, compared with 21,100 pounds at the Mexican border. Most of the fentanyl reaching the U.S. — where it causes about 70,000 overdose deaths annually — is made by Mexican drug cartels using precursor chemicals smuggled from Asia. On immigration, the U.S. Border Patrol reported 1.53 million encounters with migrants at the southwest border with Mexico between October 2023 and September 2024. That compares to 23,721 encounters at the Canadian border during that time. Canada is the top export destination for 36 U.S. states. Nearly $3.6 billion Canadian (US$2.7 billion) worth of goods and services cross the border each day. About 60% of U.S. crude oil imports are from Canada, and 85% of U.S. electricity imports as well. Canada is also the largest foreign supplier of steel, aluminum and uranium to the U.S. and has 34 critical minerals and metals that the Pentagon is eager for and investing for national security.
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Stoli vodka files for bankruptcy in the United StatesShare Tweet Share Share Email Data reconciliation is now a crucial aspect of the contemporary data-driven enterprise landscape. As businesses heavily depend on precise, uniform, and dependable data, reconciliation serves as a vital tool in facilitating informed decision-making, ensuring adherence to regulations, and sustaining a competitive edge. As enterprise data ecosystems grow in complexity, innovative and advanced approaches are necessary for reconciling extensive and diverse datasets. The latest developments in data modelling, onboarding procedures, tools, data catalogues, lineage tracking, and anchor frameworks have revolutionized how enterprises approach data reconciliation. In this article, we will explore the principles of advanced data reconciliation techniques, with insights from industry experts and future trends, as emphasized by PraveenTripathi . Praveen is a renowned technology leader in AI, cybersecurity, and cloud services who stresses the significance of integrating cutting-edge technologies for seamless data governance. Praveen Tripathi The Foundation: A Guide to Efficient Reconciliation through Data Modeling. The process of data modelling creates the basis for arranging and aligning data, as well as establishing connections, interdependencies, and arrangements within datasets. Dimensional modelling utilizes either star or snowflake schemas to help organizations construct efficient data structures for quick querying and analysis. These structures categorize data into facts, such as sales information, and dimensions like time, product, and geography, streamlining the reconciliation process. Additionally, ERD is useful for enhancing reconciliation by illustrating connections between data entities through the use of primary keys, foreign keys, and constraints. To handle intricate interconnected datasets like supply chains, social networks, and customer journeys, many have turned to graph models as they provide a versatile means of depicting relationships. Similarly, hierarchical models are beneficial for datasets with multi-level relationships such as organizational structures or product categories, allowing for comprehensive insights during the reconciliation process. By implementing these models, organizations create a strong framework that ensures reconciliation algorithms operate with defined parameters and logical pathways, ultimately laying the foundation for precise data processing. Cutting-edge Solutions for Reconciliation on Various Platforms In today’s business world, companies utilize various sophisticated tools and platforms to enhance their data reconciliation methods. Examples include ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) tools like Talend, Informatica, and Apache Nifi, which offer real-time capabilities for seamless and ongoing reconciliation. Additionally, cloud-based services such as AWS Glue, Azure Data Factory, and Google Cloud Dataflow offer scalable options for handling large datasets. AI-powered validation tools, including H2O.ai and DataRobot, improve the process of reconciliation by detecting patterns, irregularities, and discrepancies on a large scale. Platforms for data quality, such as Talend Data Quality, Trifacta, and Ataccama, are essential in assessing, removing duplicates from, and purifying datasets to ensure they are suitable for reconciliation. For those looking for more budget-friendly options with the ability for personalized modifications, open-source solutions like Apache Spark, Airbyte, and dbt can be viable alternatives. By utilizing these tools and platforms, organizations attain flexibility, scalability, and robustness in handling intricate reconciliation workflows. Data onboarding is the crucial step that leads to dependable reconciliation. Efficient data onboarding serves as the key to achieving successful reconciliation, covering various steps such as preprocessing and mapping. Standardization and cleansing procedures, such as deduplication, normalization, and enrichment, guarantee consistent data. The use of AI-based tools further aids in expediting these tasks while reducing the need for manual intervention. Schema mapping tools streamline the onboarding process by aligning source and target schemas with minimal errors. This, combined with incremental loading processes, enables organizations to capture only data changes, facilitating real-time or near-real-time reconciliation. Furthermore, dynamic data enrichment boosts accuracy by incorporating contextual metadata such as geographic, demographic, or behavioral information. Companies that place emphasis on implementing effective onboarding strategies have a lower occurrence of reconciliation failures and improved data credibility, leading to streamlined downstream operations. Data catalogs play a crucial role in reconciliation frameworks by facilitating the organization and management of data. Data catalogues have become essential elements of contemporary reconciliation structures, providing enhanced management, visibility, and context for metadata. These centralized platforms, like Alation, Collibra, and Informatica EDC, serve as repositories for convenient access to data definitions, lineage, and relationships. The inclusion of schema versioning in catalogues allows for tracking of changes over time, aiding in meeting regulatory standards. Additionally, automated schema-matching capabilities speed up onboarding procedures while still maintaining precision. Moreover, the integration of data catalogues with lineage tracking tools provides comprehensive visibility into data flows from beginning to end. The utilization of data catalogues allows enterprises to streamline reconciliation processes, comply with regulations more efficiently, and maintain audit readiness through improved traceability and metadata management. Maintaining Transparency and Compliance with Lineage Tracking and Audit Trails Monitoring lineage is crucial for comprehending the journey of data from start to finish, promoting openness and responsibility. Visual diagrams representing lineage, accessible via resources such as Apache Atlas and Informatica, offer a clear understanding of data changes and interconnections. Utilizing proactive impact analysis through lineage tracking tools highlights the consequences of alterations, expediting resolutions for potential problems. Extensive audit logs document reconciliation efforts, discrepancies, and authorizations to uphold adherence to regulatory frameworks like GDPR and CCPA. Implementing lineage tracking enhances enterprise reconciliation tactics by promoting transparency and ensuring compliance with constantly changing regulatory mandates. The Anchor Frameworks serve as a blueprint for conducting rule-based validation. Anchor frameworks utilize predefined keys, rules, and thresholds to facilitate data validation. These anchor keys, such as transaction IDs or account numbers, function as distinctive identifiers for deterministic matching. The implementation of rule-based comparisons streamlines reconciliation by utilizing conditional logic to minimize false positives. Sophisticated approaches, such as fuzzy matching, effectively manage inconsistencies in data formats or values, such as differences in customer names. By implementing threshold-based validations, a level of leniency is incorporated through the establishment of allowances for slight discrepancies, guaranteeing precision and versatility. These systems allow businesses to handle a variety of reconciliation situations with both accuracy and efficiency. The combination of automation and continuous monitoring. Automation has a significant impact in decreasing the need for manual work, preventing mistakes, and maintaining constant monitoring of data accuracy. Workflow automation tools, like Apache Airflow and Control-M, streamline reconciliation processes by effectively managing task scheduling and execution. Additionally, real-time alert systems integrated with platforms such as Splunk and Datadog offer proactive notifications of discrepancies or issues. Thanks to AI-driven self-healing scripts, enterprises are able to effortlessly address common inconsistencies without the need for manual intervention. With continuous monitoring in place, data consistency remains intact even in constantly evolving environments. Ensuring scalability and optimal performance for the future. As enterprises handle larger amounts of data, they must prioritize scalability and performance optimization to protect their reconciliation frameworks for the future. To expedite execution, parallel processing methods divide data into smaller segments. Additionally, implementing indexing and partitioning techniques can enhance query performance, while utilizing caching mechanisms can decrease repetitive computations in tasks. Utilizing data sampling allows organizations to validate smaller portions of data, serving as an initial measure to streamline the process of reconciling large amounts of data. This approach enables them to be prepared for a potential surge in data volume without compromising effectiveness and precision. Insights into the industry and projections for the future. In 2023, the global market for data integration and reconciliation was valued at $10 billion and is estimated to experience a 12% CAGR until 2030. The use of AI in this field is anticipated to have a significant impact, as Gartner predicts that AI and machine learning will be incorporated into 75% of reconciliation processes by 2025. In addition, the rise of cloud-first strategies will likely result in platforms such as AWS, Azure, and Google Cloud Platform dominating reconciliation workflows. As regulatory frameworks continue to develop, reconciliation processes will play a crucial role in ensuring compliance, particularly in heavily regulated industries like finance and healthcare. Conclusion It can be stated that the main findings of this study suggest that a stronger emphasis on mental health education and support in schools is essential for promoting overall well-being among students. This not only benefits their academic performance but also prepares them to cope with challenges and stressors in life. In today’s complex data ecosystems, enterprises rely on advanced techniques for data reconciliation. By incorporating strong data modeling, onboarding procedures, tool utilization, lineage tracking, and anchor frameworks, these organizations can establish scalable and efficient workflows for accurate reconciliation. Praveen Tripathi’s perspective highlights the essential role of utilizing cutting-edge technologies and governance strategies. With the ever-changing data environment, it is imperative for companies to adopt these approaches in order to uphold effective data management, regulatory compliance, and operational efficiency, ultimately securing their competitive edge in a data-driven landscape. Related Items: AI , cloud services , cybersecurity , data , Data Reconciliation , Data Reconciliation Techniques , Praveen Tripathi Share Tweet Share Share Email Recommended for you AI vs. Human Writing: Who Shapes the Future of Content Creation? Harnessing AI for Smarter Transportation Management AI Transforms Financial Customer Service with Dramatic Efficiency Gains Comments
Wounded Bangladesh protesters receive robotic helping hand DHAKA: Squeezing rubber-covered robotic prosthetic hands, Bangladesh protesters wounded during the deadly revolution to topple autocratic leader Sheikh Hasina test out replacement arms for their lost limbs. “I ́ll be able to do some everyday tasks with this artificial hand,” said student Hafeez Mohammad Hossain, 19, whose right hand was ripped off in gunfire on August 5. It was the same day protesters stormed Hasina ́s palace as she fled to India by helicopter. In the middle of the chaos, Hossain said a police officer levelled a shotgun at him and fired. He described searing pain as gun pellets lacerated his back and leg. Surgeons picked out the gunshot, but were unable to save his hand. “I can ́t write anymore,” Hossain said. “I ́m struggling to learn how to write with my left hand.” On Thursday he was fitted with a prosthetic limb, alongside four other students who also lost their hands during the months-long protests in which at least 700 people were killed during a police crackdown. Robolife Technologies, a Bangladeshi organisation manufacturing artificial hands, said the prosthetic limbs use sensors connected to the nerves to move. The company says it allows users to grasp objects, to type and use a phone. “If you ask me whether they work like organic hands, I ́d say no,” said Antu Karim, who is working on the government-backed project to fit the limbs. “But these hands allow the boys to hold a glass if thirsty, or a spoon to eat,” he added. “At least, they won ́t be looked down upon for not having hands.” Hasina ́s 15-year tenure saw widespread human rights abuses, including the mass detention and extrajudicial killings of her political opponents. Limbless protesters held a rally earlier this month demanding the interim government who took over after Hasina ́s fall support those injured in the protests. Many say they have not received the aid they need.
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