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Big Data News
Siliconangle
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Image Credit: Siliconangle
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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366
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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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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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Image Credit: Precisely
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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Precisely
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367
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2025 Data Integrity Awards Now Open for Nominations
- Nominations are now open for the 2025 Data Integrity Awards, with a submission deadline of June 20, 2025.
- Winners of the awards will be announced at Trust '25, celebrating customers driving transformation through data.
- Reflecting on the previous year, the 2024 winners included organizations like Generali Real Estate, BMW Group, and the Federal Energy Regulatory Commission.
- The 2025 Data Integrity Awards will honor innovation, leadership, and results in categories like AI Innovation, Business Impact, and Societal Impact.
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Dzone
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AI, ML, and Data Science: Shaping the Future of Automation
- AI, machine learning, and data science are driving a future where machines can predict events with precision, revolutionizing various sectors.
- AI handles tasks requiring human intellect, while ML focuses on machines learning from data to improve over time.
- Data science is essential for curating data for machine learning models, ensuring proper training and evaluation.
- Deep learning mimics the human brain, advancing image recognition and NLP tasks.
- NLP enables machines like Siri and chatbots to interact naturally with humans, enhancing communication.
- Predictive analytics and big data aid in predicting future trends for informed decision-making in finance, retail, and healthcare.
- AI applications in healthcare diagnose diseases, while in finance, they detect fraud and automate trading processes.
- AI personalizes retail experiences and enhances marketing strategies, impacting various industries with automation.
- Challenges include data privacy, biased AI models, and scalability issues in real-world deployment.
- The future holds promise with quantum computing enhancing ML capabilities, but also raises concerns about job displacement and societal impact.
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Siliconangle
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247
Image Credit: Siliconangle
Databricks reportedly could acquire serverless database startup Neon for $1B+
- Databricks Inc. is reportedly in talks to acquire Neon Inc., a startup offering a commercial version of PostgreSQL database with a serverless architecture.
- Neon's PostgreSQL distribution allows for automatic addition or removal of hardware resources based on workload requirements, avoiding unnecessary hardware spending.
- Neon's database implementation includes a connection pooling feature that enhances database performance by quickly assigning standby connections to applications.
- Databricks' interest in Neon could be due to the database's suitability for AI use cases, as Neon is capable of storing vectors and quickly provisioning new database instances for AI coding assistants.
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Siliconangle
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Palantir shares dip despite Q1 revenue beat and raised full-year outlook
- Palantir Technologies Inc. shares dropped over 8% in after-hours trading despite surpassing revenue expectations in Q1 and increasing its full-year outlook.
- For the fiscal Q1, Palantir reported adjusted EPS of 13 cents, revenue of $883.9 million, with U.S. revenue growing 55% year-over-year.
- The company achieved its highest U.S. commercial contract value, new deals, and a 39% increase in customer count.
- Palantir also announced partnerships and enhancements in AI technology, leading to an upgraded full-year revenue growth outlook of 36%.
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Precisely
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Image Credit: Precisely
CCM Solutions: Build or Buy for Your Business?
- The article discusses the debate between building a custom in-house Customer Communications Management (CCM) solution or purchasing an enterprise-grade platform.
- While building may seem cost-effective initially, buying is more beneficial in terms of long-term risk reduction, compliance, scalability, and speed.
- Building a CCM solution allows customization but requires continuous maintenance, security, and scalability considerations over time.
- Buying a CCM solution provides a pre-built, compliant platform with automation capabilities and scalability, reducing IT burden.
- Building a custom solution leads to fragmented data security, duplicated efforts, limited scalability, and inconsistent customer views.
- Buying a solution like EngageOne RapidCX offers audit trails, certified compliance, data security, and disaster recovery for risk management.
- The article highlights the importance of automated workflows, compliance, disaster recovery, and scalability in CCM solutions.
- Unified platforms like EngageOne RapidCX provide operational efficiency through automation, archiving, scalability, and AI integration.
- The article emphasizes that customer trust is the most significant cost of not having a unified CCM platform due to communication inconsistencies and data protection issues.
- In conclusion, buying a unified CCM platform offers proven technology with built-in security and compliance, enabling faster operations with reduced risks.
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Amazon
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Image Credit: Amazon
Amazon OpenSearch Service launches flow builder to empower rapid AI search innovation
- Amazon OpenSearch Service has launched a flow builder to facilitate rapid AI search innovation on OpenSearch 2.19+ domains.
- The flow builder allows users to configure custom AI search flows for data enrichments during ingestion and search through a visual designer.
- AI search applications on OpenSearch can be powered without the need to build and maintain custom middleware.
- Applications are increasingly using AI and search for improved user interactions, content discovery, and automation.
- The AI search flow builder enables collaborative design and execution of AI search flows on OpenSearch with support for AI providers like Amazon Bedrock, SageMaker, and more.
- Key concepts of the AI search flow builder include ingest flows for data enrichment during indexing and search flows for dynamically enriching search requests and results.
- Scenarios are explored to demonstrate the use of the flow builder, such as enabling semantic search without code changes and employing generative AI for image search.
- The article also provides insights into configuring search flows, mapping models, and testing multimodal RAG flows for improved search accuracy.
- The AI search flow builder is available in all AWS Regions supporting OpenSearch 2.19+ to enhance AI workflows on OpenSearch Service.
- Authors involved in the development and contribution to the AI search flow builder include senior product managers, software engineers, and machine learning experts.
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Precisely
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Image Credit: Precisely
Data Link for Dun & Bradstreet is a Game-Changer: Here’s Why
- Precisely announced Data Link, an ecosystem of pre-linked datasets, with Dun & Bradstreet joining the program to enhance the delivery of critical data.
- The partnership aims to reduce complexity, accelerate time-to-value, and provide seamless linking of data from multiple providers for actionable insights.
- Unique identifiers play a crucial role in successful data management, enrichment, and analytics, facilitating streamlined processes and enhancing data quality.
- Historically, integrating datasets across providers has been challenging due to lack of standardization, leading to manual mapping and higher costs.
- Data Link simplifies the integration process by leveraging unique IDs to connect datasets from partners like Dun & Bradstreet using D-U-N-S Numbers.
- The partnership offers real-world applications across industries such as financial services, retail, insurance, and public sector, enabling better insights and decisions.
- Connected data through Data Link enables analysis of risk exposure, informed investments, enhanced customer engagement, optimized sales territory planning, and improved location planning.
- By combining Dun & Bradstreet's datasets with Precisely's expertise in data enrichment, the partnership aims to unlock new use cases for customers and provide valuable insights.
- The aim is to cut through integration complexities, connect valuable data quickly, and help businesses make smarter decisions with confidence.
- The collaboration between Precisely and Dun & Bradstreet through Data Link brings a stronger, more connected data ecosystem, enabling customers to achieve real value from their data efficiently.
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Fintechnews
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Image Credit: Fintechnews
System Intrusion Rises to Dominance in APAC Threat Landscape
- Asia-Pacific (APAC) is witnessing a significant increase in system intrusion attacks, which have become the dominant threat pattern in the region according to data from the 2025 Data Breach Investigations Report by Verizon Business.
- System intrusion attacks in APAC are rising to 83% of all breaches as cybercriminals employ more sophisticated methods to gain sustained access into organizational systems, allowing for various malicious activities like deploying ransomware, data theft, and maintaining covert access.
- In contrast, social engineering attacks are declining in prevalence, dropping to 20% of breaches in 2024, while basic web application attacks have also decreased. This trend indicates improved security measures and awareness among organizations in APAC.
- Malware remains the primary tactic in attacks, with ransomware accounting for 51% of breaches in 2024. Stolen credentials are also widely used in APAC breaches, showing a trend towards more sophisticated and high-impact methods by cybercriminals.
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Siliconangle
4w
40
Image Credit: Siliconangle
Astronomer nabs $93M for its data pipeline platform
- Astronomer Inc., a startup specializing in data pipeline management, has secured a $93 million funding in a Series D round led by Bain Capital Ventures and participation from Salesforce Ventures, Insight, and others.
- The company offers a paid cloud version of Apache Airflow, a popular open-source platform for creating data pipelines, enabling organizations to move data between applications efficiently.
- Astronomer's commercial version, Astro, provides high-availability features, automation tools, and a 'scale to zero' feature that allows hibernating the Airflow environment when not in use, reducing unnecessary infrastructure costs.
- The funding will be used to enhance Astro, expand international presence, and pursue profitability goals within two years, as the company reported a 140% growth in annual recurring revenue from Astro.
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Silicon
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73
Image Credit: Silicon
Microsoft Pledges To Protect European Operations From Trump
- Microsoft has promised to protect its operations in Europe and announced five digital commitments to provide reassurance against potential disruptions under US President Donald Trump.
- The commitments include expanding cloud and AI infrastructure in Europe, upholding digital resilience, protecting data privacy, defending cybersecurity, and enhancing economic competitiveness.
- Microsoft plans to increase its European data center capacity by 40% in the next two years and ensure oversight by a European board of directors.
- The company will double its European data center capacity between 2023 and 2027, resulting in operations across over 200 data centers in Europe.
- Microsoft aims to establish sovereign cloud data centers in partnership with local organizations to strengthen security and data protection.
- Brad Smith, Microsoft’s president, emphasized the importance of providing digital stability amid geopolitical uncertainty and committed to contest any order that could disrupt cloud operations in Europe.
- The move aims to reassure European customers amidst trade tensions and calls for more European tech sovereignty, with Microsoft being proactive in safeguarding access to its services.
- Smith highlighted the significance of maintaining trust with European countries and governments, recognizing Europe as a crucial market for Microsoft's business.
- By making legal commitments in contracts and standing ready to challenge disruptive government orders, Microsoft aims to demonstrate its commitment to ensuring continuity of access to technology in Europe.
- The proactive steps taken by Microsoft reflect a strategic approach to address concerns and bolster confidence in its operations amid evolving geopolitical dynamics.
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