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Precisely

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How Black Friday Foot Traffic Offers a Glimpse into Retail’s Future

  • Retailers have been focusing on hobbies, outdoor activities and arts-and-crafts shops which may signal a cultural pivot toward purchases that foster creativity, connection, and transformation.
  • Retailers that integrate digital behavior with physical-world insights gain a decisive edge in today’s evolving market.
  • Google Trends showed an unexpected rise in interest in hobby and outdoor stores but retailers using visit intelligence and foot traffic analytics are already capitalizing on these trends to redefine retail’s future.
  • A spike in Google searches indicates growing interest in outdoor adventures or home improvement activities but visit data provides businesses with the real-world evidence needed to act decisively.
  • Outdoor retailers saw a 3x increase in visits compared to their three-month average, while arts-and-crafts stores recorded a 2x rise this Black Friday reflecting this cultural shift.
  • Scheels emerged as a standout performer in the outdoor category, achieving a 13.3% increase in store visits during Black Friday compared to its November average.
  • Arts-and-crafts stores like Color Me Mine recorded a 35.7% increase in footfall, while Painting with a Twist and JOANN Fabrics gained 31.8% and 20.7%, respectively, owing to more than materials, like creating spaces for self-expression and connection.
  • Outdoor gear, crafting supplies, and hobby kits are no longer just products—they’re gateways to personal growth, creativity, and connection and retail is becoming a space for transformation.
  • To stay competitive in this evolving environment, retailers must move beyond transactions and offer experiences that resonate with customers.
  • Hobby stores have proven that the future lies in creating spaces where customers connect, learn, and grow.

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Amazon

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Enhancing Search Relevancy with Cohere Rerank 3.5 and Amazon OpenSearch Service

  • Traditional keyword-based search methods often fall short in delivering truly relevant results, hence organizations are integrating large language models with Amazon OpenSearch Service.
  • Cohere Rerank 3.5 improves search results for Best Matching 25 (BM25), a keyword-based algorithm that performs lexical search.
  • Implementation of a reranking pipeline enhances user experience, drives better search outcomes, and improves engagement.
  • Amazon OpenSearch Service is a versatile solution for implementing sophisticated search functionality, including the search mechanisms used to power generative AI applications.
  • Lexical search relies on exact keyword matching whereas bi-encoders and cross-encoders recognize the context or intent behind the query using semantic search.
  • Cohere Rerank 3.5 focuses on enhancing search relevance by reordering initial search results based on deeper semantic understanding of the user query.
  • Combining reranking with BM25 reduces the top-20-chunk retrieval failure rate by 67%, delivering a more effective search experience for users.
  • Cohere Rerank 3.5, when integrated with OpenSearch, significantly enhances existing project management workflows by increasing accuracy of search results.
  • The ease of integration through a single API call with OpenSearch enables quick implementation, offering a competitive edge in user experience without disruption.
  • Integrating Cohere Rerank 3.5 with OpenSearch Service is a powerful way to enhance your search functionality and deliver a more relevant search experience.

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Amazon

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Introducing the new Amazon Kinesis source connector for Apache Flink

  • Apache Flink community has released version 5.0.0, which includes a new source connector for Amazon Kinesis Data Streams called Kinesis Streams Source, which replaces the Kinesis Consumer connector.
  • The Kinesis Streams Source connector uses the new Flink Source interface, which implements the new FLIP-27 standard, and is compatible with Flink 2.x.
  • The new connector saves position in checkpoints and snapshots to provide exactly-once guarantees, but migration from the Kinesis Consumer connector requires attention if your application doesn't use UIDs on each DataStream operator.
  • The connector improves performance and reliability of Apache Flink applications and supports watermark idleness and alignment, and retains ordering even with stream resharding and when replaying old data.
  • The new connector is based on the AWS SDK for Java 2.x and relies on the AWS SDK built-in retry strategy, and does not include the Kinesis Client Library and Kinesis Producer Library, reducing the JAR size by 99%.
  • Connector artifacts for Python applications include both the Kinesis source and sink connectors, and flink-sql-connector-aws-kinesis-streams is the package that includes both the new and legacy sources.
  • The new Kinesis source connector is available for both the DataStream API and the Table API and SQL.
  • The new source connector provides a better default shard assigner and is compatible with Flink 2.x, removing the SourceFunction interface used by legacy connectors.
  • Supporting cross-Region and cross-account consuming from streams, the new connector introduces several new features, including the ability to define a watermark strategy for better code readability.
  • For the most up-to-date connector versions and a working example of a Java DataStream API application using the new connector, refer to Amazon Kinesis Data Streams Connector and Amazon Kinesis Data Streams SQL Connector.

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Cloudera

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Women Leaders in Technology: A Conversation with Cloudera CMO, Mary Wells

  • Women are underrepresented in the tech industry and in a recent study women only made up 27.6% of tech jobs in 2022 and the rate is even lower for Black and Hispanic women. Organizations need to create policies and programs to address the issue. Cloudera has introduced the Women Leaders in Technology Initiative to support women’s voices in leadership.
  • Mary Wells, Chief Marketing Officer at Cloudera and executive sponsor of the WLIT, talked about why Cloudera launched this forum and her own experience working in male-dominated industries and her advice for the next generation.
  • WLIT creates meaningful connections for women and allies in tech leadership through networking, collaboration, and advocacy of policies and programs that drive real change to build a stronger, more diverse workforce. WLIT aims to become a model for other organizations to embrace similar initiatives to address critical issues.
  • Initiatives like WLIT can lead to real business opportunities that elevate female voices and foster inclusivity, giving women confidence to push themselves further in tech leadership roles.
  • The first WLIT event featured a panel of women leaders from across the industry who discussed the challenges women face entering the technology sector and the advice they have for their peers and women looking to enter the field.
  • Mentorship has played a pivotal role in Mary’s career and helped her gain confidence to take on challenges. Her advice for women and allies aspiring to build careers in technology is to "do it afraid" and not let self-doubt hold them back.
  • Cloudera’s WLIT initiative aims to create an environment where everyone can thrive. It is supplemental to the important work of their internal-facing employee resource group, Women+, and is not confined to Cloudera or limited to an internal audience. It is an industry-wide initiative designed to bring together people across the tech sector, fostering a collective commitment to inclusivity and progress.
  • WLIT builds on Cloudera’s strong foundation of diversity, equity, and inclusion. Every executive leader sponsors initiatives designed to elevate employee voices and ensure representation.
  • Mary Wells is passionate about giving back, serving on boards focused on animal welfare and elder advocacy. She believes true leadership is rooted in service and strives to uphold that principle in every decision she makes.
  • To learn more about Cloudera’s WLIT initiative, join the LinkedIn group and get involved, and visit their website.

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Siliconangle

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Sahara AI’s new Data Services Platform allows anyone to earn money by creating datasets for AI

  • Sahara AI Ltd. has launched its Data Services Platform, allowing anyone to contribute to the AI ecosystem by creating datasets for model training.
  • The platform aims to provide a decentralized data marketplace for AI developers and ensures ownership attribution and compensation for data creators through blockchain technology.
  • Participants in the platform can subscribe to data markets and be fairly compensated for their efforts.
  • Over 400,000 contributors have signed up, including leading technology companies and innovators like Microsoft, Amazon, Snap, and MIT.

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TechBullion

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Cloaked Is Redefining Digital Freedom And Reclaiming Privacy in the Age of Big Data and AI; Interview with Arjun Bhatnagar, Co-founder and CEO of Cloaked.

  • Cloaked is redefining digital freedom and personal data protection while promoting privacy as a fundamental right.
  • The platform offers all-in-one privacy features including virtual identities, end-to-end encryption, and robust data removal tools.
  • AI currently exploits user privacy with a lack of transparency and consent, leading to data breaches that put personal information in data brokers’ hands.
  • Cloaked advocates for privacy awareness and stringent regulations while providing tools to protect personal data and allowing individuals to control data shares.
  • Through anonymization, Cloaked aims to put individuals back in control of their data, breaking connections and making information stale quickly.
  • It’s important that businesses commit to best practices and minimize the risks associated with breaches, while investing in privacy to maximize building customer trust and loyalty.
  • Innovators need to work with businesses, governments, and policymakers to co-create legislation and best practices that protect consumer interests while allowing for better technologies and business outcomes.
  • Cloaked aims to equip users to reclaim control over their personal information and transform the way data is used, promoting a new privacy-centric approach that respects individuals’ rights.
  • The platform offers privacy tools such as virtual phone numbers, secure passwords and data removal from data broker sites, aiming at easy adoption of privacy habits.
  • Collaboration among businesses, innovators, and policymakers is necessary to develop a secure and transparent digital ecosystem that fosters privacy and restores public trust.

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Precisely

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The High Price of Poor Address Data: Solutions for Better Business Outcomes

  • Poor address data can lead to missed deliveries, incorrect customer information, and wasted resources – negatively impacting overall customer satisfaction, operational efficiency, and profitability.
  • Correcting bad addresses is just the beginning – you need to then connect those clean addresses to other valuable data points to unlock real value.
  • Leverage solutions for address verification, geocoding, address autocomplete, and address data to improve address data quality strategies.
  • Address data is complex, with addresses varying globally in structure and components, recorded in different languages, formats, and scripts.
  • Poor-quality data can have far-reaching effects on your business operations.
  • Three of the top challenges of poor address data: operational errors, customer dissatisfaction, and increased return rates.
  • Address verification, geocoding, address autocomplete, and address data are four key approaches that can ensure maintaining accurate and up-to-date address records.
  • Data enrichment allows you to append additional data points to addresses, resulting in a 360-degree view of your customers, properties, and trends.
  • To transform your address data into a source of insight and strategic value for your business, correct poor addresses, connect them to valuable data points, and use a unique identifier like PreciselyID.
  • Address data managed and enriched properly becomes an invaluable asset that drives smarter decisions and better customer experiences, reducing operational costs, and opening new doors for growth and innovation.

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Currentanalysis

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Is Lunchtime Over? Is it Time for Telcos to Give Content Providers the Bill?

  • Telecommunications companies want content providers to contribute towards network infrastructure investment.
  • Content providers could consider storing content locally and partnering with telcos to address the issue.
  • Telcos are pressuring regulators to make big tech companies pay for their share of the network infrastructure.
  • The dispute between Deutsche Telekom and Meta highlights the ongoing debate around net neutrality.

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Amazon

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Recap of Amazon Redshift key product announcements in 2024

  • Amazon Redshift has enhanced data warehousing and SQL analytics since its inception in 2013, with over 100 new features and enhancements in 2024 alone.
  • The service has improved with features such as better performance, data sharing, and multi-data warehouse writes.
  • Customers can now write data to shared Redshift databases from multiple Redshift data warehouses and use generative AI capabilities to build natural language-based applications.
  • Amazon Redshift has also focused on improved performance with lower latency responses, up to three times better price-performance, and enhancements in layout and sort keys that optimize performance.
  • Near real-time analytics and a simplified data lake house architecture make it an ideal solution for growing businesses and enterprises.
  • Amazon Redshift allows users to scale with multi-cluster deployments and offers seamless cross-account and cross-region data collaboration.
  • Amazon Redshift now offers serverless AI-driven scaling and optimization for larger workloads and easier integration for generative AI and natural language processing.
  • With improvements in simplified ingestion and increased connectivity to third-party enterprise applications, Amazon Redshift continues to enable fast insights over fresher data.
  • Other improvements include new continuous file ingestion from S3 buckets, expanded support for Apache Kafka clusters, and query identifiers for improved performance monitoring.
  • Amazon Redshift AI is becoming even more intelligent, with Amazon Q generative SQL and integration with Amazon Bedrock for generative AI tasks. Amazon Bedrock Knowledge Bases now supports structured data retrieval as well.

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Dzone

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How to Optimize Edge Devices for AI Processing

  • Edge computing and AI are essential technologies complementing each other's functionality.
  • The design approach must evaluate hardware, software, and energy requirement aspects, among others.
  • Dedicated AI chips improve the processing power for running AI algorithms on edge devices.
  • Industrial digital twins allow designers to experiment and analyze the impacts of design decisions.
  • Tiny AI, a new movement, aims to incorporate algorithms into specialized hardware, reducing computational requirements and achieving energy efficiency.
  • The edge device must be user-friendly and equipped with data encryption, administrator controls, and security measures.
  • Staying updated with industry events enables professionals to collaborate and explore new possibilities, such as the EdgeAI project.
  • Designers must record and document their processes, learning, and rationale for future reference and application.

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Amazon

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How DeNA Co., Ltd. accelerated anonymized data quality tests up to 100 times faster using Amazon Redshift Serverless and dbt

  • DeNA Co.,Ltd. combined AWS Redshift Serverless and dbt to speed up data quality tests by up to 100 times on sensitive data in healthcare and medical sectors.
  • To comply with their data policies, DeNA aimed to process and test anonymised data and prevent the inclusion of invalid values or any data loss.
  • Previously, DeNA ran Python batch jobs on EC2, which led to poor performance and high costs when dealing with large datasets.
  • To speed up data quality tests, DeNA chose Redshift Serverless and dbt due to their scalability, low-cost serverless nature, and optimal cost-performance.
  • Redshift Serverless offers optimal processing performance for structured data typical of a data warehouse service, and dbt provides a SQL-first templating engine for repeatable and extensible data transformations.
  • DeNA used Amazon ECS via AWS Fargate to run dbt in a serverless pay-per-use manner, passing sensitive credentials stored in AWS Secrets Manager to containers using an ECS task execution IAM role.
  • Redshift Serverless was segmented into separate workgroups for access control, allowing fine-grained access control to data by using database security features similar to the GRANT command.
  • DeNA improved performance up to 100x and reduced costs by 90% by incurring costs only for data quality tests.
  • Maintainability was achieved through standardisation of the technical stack with dbt, which eliminated siloed knowledge from custom programs utilising the data tests feature.
  • AWS serverless services almost entirely eliminated operational overhead for managing the workload infrastructure.

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TechBullion

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324

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Empowering Businesses with Technology: The Role of IT Staff Services

  • IT staff services have emerged as a pivotal solution for businesses in the digital era.
  • These services provide access to specialized talent, scalability, and expertise.
  • Benefits include filling skill gaps, reducing hiring costs, and focusing on core objectives.
  • By leveraging IT staff services, businesses can navigate challenges, innovate, and stay competitive.

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Amazon

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Top 6 game changers from AWS that redefine streaming data

  • AWS introduced over 50 new capabilities across its streaming services, significantly enhancing performance, scale, and cost-efficiency.
  • Amazon MSK Express brokers offer up to three times more throughput than a comparable standard Apache Kafka broker, virtually unlimited storage, and 90% faster recovery from failures.
  • Amazon Kinesis Data Streams On-Demand makes it uncomplicated for developers to stream gigabytes per second of data without managing capacity or servers.
  • Amazon Data Firehose now supports seamless integration with Iceberg tables on Amazon S3.
  • AWS's Kinesis Client Library (KCL) reduces compute costs to process streaming data.
  • Real-time context can be brought to generative AI applications with Amazon MSK's blueprint.
  • Kinesis Data Firehose supports capturing changes made in databases such as PostgreSQL and MySQL and replicating the updates to Iceberg tables on Amazon S3.
  • Amazon Managed Service for Apache Flink now offers per-second billing, allowing customers to pay for what they use down to the nearest second.
  • These advancements empower businesses to use real-time data more effectively, modernizing the way for the next generation of data-driven applications and analytics.
  • Sai Maddali is a Senior Manager Product Management at AWS who leads the product team for Amazon MSK. Bill Crew is a Senior Product Marketing Manager.

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TechCrunch

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Databricks raises $10B as it barrels toward an IPO

  • Databricks raises $10 billion in a funding round, valuing the company at $62 billion.
  • Backers include Thrive Capital, Andreessen Horowitz, DST Global, GIC, and Iconiq Growth.
  • The funding will drive future mergers and acquisitions, stock payouts to employees, and global expansion.
  • Databricks expects to generate positive free cash flow with a $3 billion revenue run rate.

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Cloudera

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Telco Enterprise Data Platforms: Key Success Factors in Building for an AI Future

  • Telecom carriers are turning to hybrid cloud solutions to manage high-velocity workloads, reduce infrastructure costs, and adopt AI and automation.
  • The introduction of 5G networks has resulted in an explosion of data, necessitating a robust and scalable hybrid data platform.
  • Balancing performance needs with the complexity of data environments is a priority for carriers as 5G applications continue to evolve.
  • Hybrid data platforms, like Cloudera, provide flexibility for carriers to manage workloads across on-premises and cloud environments.

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