Datametica Birds

Introducing Kingfisher and Phoenix, the two newest IP products to join our "Birds Suite", designed to address the crucial challenges that modern businesses face with data scarcity, data privacy, compliance, and AI implementation: https://lnkd.in/gust39jS Kingfisher, known as the Synthetic Data Generator, analyzes production code and identifies edge cases to produce datasets that are not only statistically identical to real data but also comprehensive in covering all potential scenarios. This will provide businesses with a risk-free environment for development, testing, and AI/ML model training without compromising privacy. Learn more about Kingfisher here: https://lnkd.in/d4Knp-qb Phoenix squarely focuses on making meaning out of the data, aka turning BI into AI. It leveraging AI-powered automation to enable real-time, conversational data querying, offering intuitive and explainable insights without the complexity of traditional reporting. Discover the power of Phoenix here: https://lnkd.in/g3bePbbJ #syntheticdata #dataanalytics #businessintelligence #businesstechnology

Chief Data Officers: your data modernization project doesn’t need to be a marathon. ??♂? With Eagle, powered by patented technology from the Onix Birds Suite (formerly Datametica Birds), it’s a sprint. ?? Eagle delivers accurate assessments and detailed migration planning, simplifying your cloud transition. Learn more: https://lnkd.in/dyWEvHhg #datamodernization #cloudmigration

Before we head off to enjoy the long Labor Day weekend, we wanted to take a moment to look back at the incredible month our team has had. Here's a quick recap: ?? Cohosted a Data to AI Executive Summit with Google Cloud in NYC ? Launched a new eBook, "Mobilizing Data for an AI-Powered World": https://lnkd.in/gapJnrQu ???? Opened our innovation and delivery hub in Bangalore as part of our continued global expansion efforts: https://lnkd.in/etvPQ6VC ?? Announced our new partnership with Mio to provide cross-platform capabilities for Google Workspace users: https://lnkd.in/gDFSXXym ?? Renewed our Google Cloud partner specializations in Work Transformation - Enterprise and Infrastructure - Services, plus renewed our accreditation as a GCP Managed Services Provider. ??? Sponsored Google Cloud's #AI for Public Sector event. ?? Published our latest customer story featuring Cisco and our IP, Pelican (of the Datametica Birds): https://lnkd.in/gTd7WWi4 ? Hosted a Google Workspace customer engagement event at a Toronto Blue Jays game. ?? Highlighted how to enrich Google's Geocoding API with address descriptors on the blog: https://lnkd.in/gQ7BYrW4 We appreciate our partners for their continued collaboration, to our customers that have engaged with us on really exciting projects, and to all of those who have joined us at our in-person events. More to come! Sanjay Singh Ankur Kashyap Patrick Schablitzki Jessica Wesley Anil Agrawal Dr. Ramnish Singh Scott Fleming Niraj Kumar Dr. Phil Shelley Rajiv Gupta Deepak Badhani

Cisco, a global leader in networking, telecom, and software, faced a complex data migration challenge demanding high security and scalability. They needed an automated solution to bypass manual processes, ensure data security without movement, and enable organization-wide scalability. Onix leveraged Pelican (of the Datametica Birds) to deliver a tailored solution: ? A segmented strategy to tackle the project's massive scope ? Zero-data-movement validation, ensuring utmost data security ? Comprehensive testing frameworks and detailed test cases for precision ? Proactive risk management and mitigation As a result, we were able to validate over 2 trillion rows of data; we completed testing cycles 50% faster; there were no data losses or security breaches; and Cisco now has a scalable solution for organization-wide use Read the full story: https://lnkd.in/gTd7WWi4 #datavalidation #datamigration #cloudsecurity

As companies increasingly rely on #AI and #machinelearning to drive innovation, there is also a growing need for robust, high-quality data to train these models and conduct meaningful analyses. But what do you do when that data isn't available? You can create it synthetically. Synthetic data is artificially generated information that mirrors the statistical properties of real world data. It can be used as a supplement, improving the performance of AI models, without exposing sensitive personal information. And by generating diverse datasets, synthetic data can also help reduce the risk of bias in AI algorithms. Why does this matter? Because in today’s data-driven world, your customer information is both a goldmine and a minefield. It fuels innovation, but also exposes you to issues around data availability, data complexity, as well as privacy and compliance. With synthetic data, your business can produce vast amounts of realistic data that are accurate and compliant, and with minimal risk. Learn more about synthetic data and how to tackle data scarcity with Kingfisher of the Datametica Birds: https://lnkd.in/gjWjh2_Q

Simplifying the code conversion process shouldn't feel like untangling a giant ball of yarn. ?? It's time to embrace automated extract, transform, and load (ETL) tools for a smoother, more efficient transition. Our new white paper, "Simplify the Code Conversion Process with Automated ETL Tools," reveals how: ?? Legacy ETL tools are often rigid, error-prone, and difficult to scale. ?? Automation is the key to accelerating your cloud migration journey. ??? Raven, our AI-powered data conversion tool, simplifies ETL code conversion, saving you time and resources. Grab your copy here: https://lnkd.in/gu2jGWcF & if you have questions about ETL migrations, data pipelines, and/or cloud infrastructure, please reach out to our team -- we're here to help! #CodeConversion #DataTransformation

Pelican, our AI-powered data validation and reconciliation tool, is able to pinpoint inaccuracies in data at the cell level *through a single scan*. That means no need for multiple iterations, and your team can save valuable time and resources. Pelican also provides 360° reports -- highlighting data quality, easily identifying and resolving mismatches through detailed, actionable insights. Learn more about Pelican and the Datametica Birds: https://lnkd.in/gBF85sxk #AI #datavalidation

A leading telecommunications provider faced limitations with their legacy data warehouse, hindering real-time insights and scalability. Onix stepped in to revolutionize their data infrastructure. Leveraging Google Cloud Platform (GCP) and the Datametica Birds Suite, we migrated a massive 4PB of data and 250K data objects, empowering over 40 teams with real-time access to critical information. The result? Faster, data-driven decisions, significant cost savings, and a modernized platform poised for future AI/ML innovation. ?? Read the full case study here: https://lnkd.in/gaeQxPgU #datamigration #cloudmigration #BigQuery #telecommunications #dataanalytics

Thank you to everyone who joined us for our recent webinar,?"From Legacy to Cloud: The Power of Automated Data Validation"! It was exciting to delve into the latest trends in data digitization and share best practices for ensuring seamless data transitions. We were thrilled to showcase Pelican, our AI-powered data validation tool designed to handle even the most massive datasets with ease and precision. If you weren't able to attend, or just want to revisit the insights shared, the recording and additional resources are available here:?https://lnkd.in/diAfBchw Deepak Badhani Niraj Kumar Virendra Singh Harish Sabhnani Dr. Phil Shelley #datavalidation #dataanalytics #bigquery

TODAY'S THE DAY!??? Don't miss our highly anticipated data validation webinar TODAY! Gain valuable insights into maintaining data accuracy and integrity during migration. Hear Cisco's successful migration story from Legacy to BigQuery, and grasp key KPIs in the migration lifecycle. Secure your spot now – register before it's too late! See you there! Register here -?https://lnkd.in/diAfBchw Deepak Badhani?Dr. Phil Shelley Virendra Singh Harish Sabhnani?Niraj Kumar #datavalidation #dataanalytics #bigquery