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Siliconangle
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How the FICO score is evolving to improve credit decision-making
- The FICO score 10 T uses trended data to evaluate a person’s credit behavior over more than two years, enhancing predictive accuracy for lenders.
- FICO 10 T has gained significant adoption in the mortgage industry, with over 30 lenders already using it for scoring.
- The FICO score is incorporating new types of credit data like Buy Now, Pay Later services to improve fairness and efficiency in decision-making.
- A strong FICO score can unlock better financial opportunities for individuals, with 90% of top lenders in the US using it as a common measure of credit risk.
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Siliconangle
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Big-data company Informatica’s stock falls on mixed results and soft guidance
- Investors reacted negatively to big-data company Informatica's mixed financial results and soft guidance, leading to a 3% drop in its stock.
- Informatica's first-quarter earnings fell slightly below Wall Street's expectations, but its revenue exceeded estimates, increasing by 4% from the previous year to $403.9 million.
- Informatica reported a slight profit of $1.34 million for the quarter, a decrease from the $9.3 million net profit in the year-ago quarter.
- The company highlighted strong cloud subscription-based annual recurring revenue growth of 30% from the previous year and emphasized the importance of data management for enterprises.
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Siliconangle
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Amplitude shares tick up after earnings results slightly beat estimates
- Amplitude's shares rose slightly in after-hours trading following its fiscal 2025 first quarter earnings report, which showed the company breaking even and generating $80 million in revenue.
- The company reported annual recurring revenue of $320 million, a 12% increase year-over-year, and a cash flow from operations loss of $8 million, down $7.9 million from the previous year.
- Amplitude introduced new features such as Amplitude Guides and Surveys to enhance user engagement, and platform enhancements in response to customer demand, including self-serve data deletion capabilities and Session Replay Everywhere.
- The company's co-founder and CEO, Spenser Skates, highlighted that Amplitude is seeing more enterprise customers embracing their platform, stronger multiproduct attach rates, and rapid innovation, with expectations of continued revenue growth in the upcoming quarters.
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Siliconangle
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Bank of Montreal transforms customer decisions with FICO’s AI-driven platform
- Bank of Montreal (BMO) utilizes FICO's decision management platform to enhance customer relationships and optimize credit decisions.
- FICO's platform integrates data, AI, decision rules, analytics, and learning loop technologies to provide real-time solutions for clients in the financial services sector.
- FICO's approach focuses on understanding individual customers through precise data instead of traditional segmentation, leading to improved customer engagement.
- FICO's CEO, Will Lansing, emphasizes the importance of decision management in the financial industry and highlights the benefits of leveraging data for personalized customer interactions.
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Amazon
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Automate replication of row-level security from AWS Lake Formation to Amazon QuickSight
- Amazon QuickSight is a cloud-powered, serverless business intelligence service that allows for interactive dashboards accessible from various devices and embeddable into apps, portals, and websites.
- Row-level security (RLS) in Amazon QuickSight ensures that users see data based on permissions. Trusted identity propagation allows passing a reader's identity to the data source for RLS.
- The solution automates replication of entitlements from AWS Lake Formation to Amazon QuickSight, supporting both direct query and SPICE datasets.
- The process involves using AWS Lambda to extract and transform data filters, storing them in Amazon S3, and creating rules datasets in QuickSight.
- Prerequisites include enabling AWS Lake Formation and Amazon QuickSight services in the same account, along with necessary IAM permissions.
- Creating groups in QuickSight and tables in Lake Formation, setting up row-level security in Lake Formation, and granting permissions are crucial steps.
- A Lambda function extracts data filter rules and permissions from Lake Formation, transforms them for QuickSight, and stores them in S3.
- The transformed data is then used to create rules datasets in Amazon QuickSight for implementing row-level security.
- Testing row-level security involves creating and publishing dashboards for different user groups to demonstrate restricted data access.
- Finally, the cleanup involves deleting resources created during the process to ensure proper resource management.
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Precisely
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Precisely Women in Technology: Meet Ashima
- Ashima Makhija, a Senior Software Engineer II, shares her tech journey and experience within Precisely Women in Technology (PWIT) network.
- Her interest in technology was sparked by her brother's influence, leading her to find a career in QA due to her sharp eye for details.
- Ashima highlights her husband and previous manager as influential mentors who have helped her in her career growth.
- Despite minimal challenges as a woman in tech, she emphasizes the importance of receiving feedback, believing in oneself, and advocating for other women in the field.
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Siliconangle
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OpenSearch revs up AI workloads with GPU-accelerated vector search
- OpenSearch 3.0, a major update to the OpenSearch software, has been launched by the OpenSearch Software Foundation.
- The update brings about a significant performance increase and introduces GPU-accelerated vector search capabilities to enhance AI development.
- OpenSearch was created as a community-driven alternative to Elasticsearch in response to Elastic N.V.'s licensing changes.
- OpenSearch 3.0 includes features such as GPU acceleration with the OpenSearch Vector Engine, support for Anthropic PBC's Model Context Protocol, and optimizations for data management.
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Amazon
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Configure cross-account access of Amazon SageMaker Lakehouse multi-catalog tables using AWS Glue 5.0 Spark
- Amazon SageMaker Lakehouse allows organizations to unify data analytics and AI/ML workflows securely without data replication.
- It organizes data using logical containers called catalogs, enabling seamless querying and analysis across ecosystems.
- AWS Glue 5.0 supports SageMaker Lakehouse, unifying data across S3 data lakes and Redshift data warehouses.
- The article demonstrates sharing Redshift and Amazon S3-based Iceberg tables across AWS accounts using Spark in AWS Glue 5.0.
- The setup involves prerequisites like two AWS accounts with Lake Formation sharing and IAM roles for permissions.
- Steps include creating catalogs, databases, granting permissions, and running PySpark jobs in AWS Glue.
- Checks and verifications are done using tools like Athena to ensure proper setup and access.
- Resource cleanup steps are provided to avoid unnecessary costs on AWS accounts.
- In conclusion, the article highlights the process of sharing and querying data across AWS accounts using SageMaker Lakehouse and AWS Glue 5.0.
- The appendices include detailed steps for creating tables in S3 and Redshift for demonstration.
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Amazon
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Introducing Amazon Q Developer in Amazon OpenSearch Service
- Amazon OpenSearch Service is used by customers to store operational and telemetry data for monitoring applications and infrastructure health.
- Introduction of Amazon Q Developer support in OpenSearch Service aims to reduce mean time to repair (MTTR) by providing AI-assisted analysis for quicker issue identification.
- Amazon Q Developer offers natural language-based exploration, visualizations, anomaly detector suggestions, alert summarization, and best practices guidance.
- Users can create complex visualizations in OpenSearch UI using natural language queries like 'show me a chart of error rates over the last 24 hours.'
- Result summarization by Amazon Q provides structured summaries of query results, aiding in data analysis by identifying patterns and trends.
- Anomaly detector suggestions by Amazon Q recommend relevant fields for creating detectors based on operational data patterns.
- Alerts summarization and insights feature provides concise summaries of alerts, conditions that triggered them, and insights into mitigating conditions.
- Amazon Q Developer serves as an intelligent assistant for implementing OpenSearch best practices and provides guidance based on developer and product documentation.
- Amazon Q Developer in OpenSearch is available at no additional cost in specified AWS regions and aims to simplify operations and enhance observability workflows.
- The tool is designed to help all experience levels harness the full potential of OpenSearch, and it's available within OpenSearch UI.
- By leveraging AI-powered capabilities, teams can overcome traditional barriers in setting up, monitoring, and troubleshooting applications within OpenSearch.
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Amazon
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Accelerate lightweight analytics using PyIceberg with AWS Lambda and an AWS Glue Iceberg REST endpoint
- Apache Iceberg provides ACID transactions, schema evolution, and time travel capabilities for data lakes.
- PyIceberg is a lightweight Python tool for managing Iceberg tables without distributed computing infrastructure.
- PyIceberg integrates with AWS Glue Data Catalog and AWS Lambda for efficient data management in a serverless environment.
- Data teams can leverage PyIceberg for data analysis using Python libraries like Pandas and Polars.
- Iceberg tables managed with PyIceberg can be used with AWS data analytics services like Amazon Athena for scalability.
- PyIceberg is suitable for tasks like feature engineering in data science and serverless data processing with Lambda.
- By combining PyIceberg with Lambda, teams can build efficient event-driven data pipelines without managing infrastructure.
- The article presents a detailed walkthrough involving setting up resources with AWS CloudFormation and building a Lambda function.
- It demonstrates accessing and analyzing data using Jupyter notebooks with PyIceberg, showcasing tag management and snapshot-based version control.
- Furthermore, it covers querying data from Iceberg tables using AWS Athena, highlighting interoperability with different data processing engines.
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TheStartupMag
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April in Review: Global startup funding remains steady, while AI continues to draw headlines and industries like Telehealth drive growth
- April 2025 saw a decrease in startup deals, though global venture funding remained flat year over year at $23 billion.
- Despite a record-breaking funding month in March driven by OpenAI, concerns about AI environmental impact arose.
- A report by the International Monetary Fund stated economic gains offset rising carbon emissions, boosting global output.
- Interest in AI-generated code surged, with Microsoft sharing that 30% of its code is AI-generated.
- Industries like Telehealth and pet tech health are driving growth, with the pet care economy expected to exceed $500 billion by 2030.
- Startup stories from April include USC Incubator successes, Horasis hosting climate-focused panels, and Leadsales CEO offering funding advice.
- AI startup Prezent appointed a biopharma executive to its board, while startup Aestro AI launched to transform debt recovery.
- GPU startup SQream named a new CEO to lead AI Factories, while Buddy.ai aims to democratize English tuition in Latin America.
- Skystem founder highlighted the importance of automated finance controls, and Y Combinator startup DeepSource released autonomous AI agents.
- With the tech sector growing in Latin America, Big data enterprise Source Meridian opened a new office in Ecuador to boost the country's tech scene.
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Amazon
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Save big on OpenSearch: Unleashing Intel AVX-512 for binary vector performance
- OpenSearch version 2.19 now supports hardware-accelerated enhanced latency and throughput for binary vectors using Intel AVX-512 acceleration.
- With AVX-512, there is up to a 48% throughput improvement compared to previous-generation R5 instances and a 10% improvement compared to OpenSearch 2.17 and below.
- Binary vectors store embeddings more efficiently than full precision vectors, saving on storage and memory costs.
- The AVX-512 accelerator enhances Hamming distance calculations for binary vectors by utilizing the popcount operation efficiently.
- OpenSearch 2.19 integrates advanced Intel AVX-512 instructions in the FAISS engine to improve performance on Intel Xeon processors without requiring additional configurations.
- Benchmarking reveals up to 20% gains on indexing throughput and over 40% gains on search throughput with R7i instances compared to R5 instances.
- The performance improvements come from utilizing the avx512_spr optimization mode, which utilizes advanced Intel instructions for faster computation.
- Optimizing vector search with newer AVX-512 instructions can lead to a 10% throughput improvement on indexing and search operations.
- The article details testing datasets of 10 million binary vectors to analyze performance gains, showcasing the benefits of upgrading to newer Intel instances.
- Authors from Intel and AWS provide insights into the optimizations for OpenSearch workloads and suggest utilizing R7i instances for improved price-performance and TCO gains.
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Precisely
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Image Credit: Precisely
Trusted Third-Party Data Where You Need It: Unlocking Value Through Cloud Data Marketplaces
- Accessing trusted third-party data in preferred environments has historically been challenging, involving manual processes and formatting issues.
- Cloud data marketplaces are evolving, allowing easier access to high-quality, analytics-ready data products.
- These marketplaces offer seamless data search, sampling, and immediate testing, reducing overhead and enhancing efficiency.
- Key considerations when choosing data products include testing samples, prioritizing curated data, and checking metadata.
- Precisely partners with leading cloud marketplaces to deliver data products directly, offering datasets for various needs.
- Partnership with Snowflake introduces Native Apps for geo addressing and data enrichment within the Snowflake AI Data Cloud.
- Enterprise-grade datasets for risk and demographics are available on the Snowflake Marketplace, aiding industries like real estate and retail.
- Partnership with Google Cloud aims to deliver data directly to instances, supporting customers like Keller Williams in enhancing efficiency.
- Keller Williams leveraged cloud data delivery to accelerate insights delivery, emphasizing the value of efficient data processing.
- The focus remains on making high-integrity data accessible and user-friendly across cloud marketplaces for informed decision-making.
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Siliconangle
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Neo4j goes serverless, bringing graph analytics to any data source
- Neo4j Inc. has launched a new serverless offering to simplify the deployment of its graph database for use with AI applications.
- This serverless offering enables graph analytics to work with any data source without the need for complex ETL operations.
- Graph databases like Neo4j differ from traditional SQL platforms by using a graph structure of nodes, edges, and properties for data storage.
- They enable 'vector search' for unstructured data, making them ideal for AI applications to derive richer insights and patterns.
- Graph analytics can improve AI decision-making by uncovering hidden patterns and relationships in complex data.
- The new serverless offering, Neo4J Aura Graph Analytics, aims to make graph analytics accessible to all companies by removing adoption barriers.
- This service comes with over 65 graph algorithms, pay-as-you-go pricing, and optimized performance for AI applications.
- By using graph analytics, AI models can derive insights faster and adapt in real time to changing data, reducing coding tasks significantly.
- Neo4j's serverless platform promises to boost the accessibility of graph analytics for enterprises across different data sources and cloud platforms.
- The new offering eliminates the need for complex queries, ETL, and costly infrastructure setup, allowing organizations to tap into graph analytics' power.
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Currentanalysis
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Image Credit: Currentanalysis
Digital Sovereignty in the Age of AI
- Digital sovereignty is increasingly crucial due to the growing investment in AI and rising uncertainties from geopolitical tensions.
- Governments are emphasizing digital sovereignty to have control over infrastructure, data, and systems, especially with the adoption of AI and concerns about extraterritorial laws.
- Sovereign AI cloud solutions are being developed by systems integrators and telecom operators to meet data protection and sovereignty requirements.
- Global trends show a shift towards sovereign AI solutions with examples from Europe, Middle East, and Asia-Pacific, driven by government initiatives and collaborations with local and global technology partners.
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