Latest news with #DataOps
The Star
7 days ago
- Business
- The Star
AI FOR BUSINESS GROWTH
AS customer expectations rise and operations become more complex, enterprises are turning to AI-powered platforms to boost efficiency and satisfaction. Malaysian technology company Emerico wants to make those problems a thing of the past for businesses. With its recently launched AI-powered customer experience platform, the Alexis S Series aims to transform the way businesses assist their customers in acquiring, engaging and retaining them more effectively. In banking, Alexis S Series helps reduce wait times and operational costs by handling routine requests, while ensuring smart routing to a human advisor for more complex needs. This launch signals Emerico's intention to expand its international presence, tapping into the rapidly growing market for AI-driven automation solutions. Making AI work for business The Alexis S Series is like a digital Swiss army knife for businesses. Imagine walking into a branch or logging onto a website and being greeted by a friendly virtual assistant that can handle your customers' questions, verify their identity and even assist them in filling out forms – all in just a few minutes. That is what Alexis is designed to do. Emerico developed the Alexis S Series with a leading American AI team, creating a platform that's smart and practical. Emerico's patented protective sleeve, featuring biometric and card reader technology, underscores the company's commitment to innovation and intellectual property. This platform leverages the latest technologies of Agentic AI – think of this as an assistant that runs 24/7, learning, adapting and making real-time decisions to automate processes, analyse behaviour and optimise operations. Supporting this, DataOps ensures only clean, reliable data feeds into the system, while MLOps manages the lifecycle of machine learning models, keeping them accurate, up-to-date and scalable. This allows the platform to adapt to evolving data, maintain accuracy and operate in compliance with business and regulatory standards. This integrated approach helps businesses automate routine tasks, freeing up staff for higher-value work, reducing operational costs and errors and responding quickly to market trends and emerging risks through real-time analytics. The smart platform adapts to the needs of the grocery sector, helping businesses by addressing customer questions, recommending products and even suggesting recipes, making shopping easier for the customer. All these capabilities are integrated into a streamlined solution that supports e-KYC (electronic identity verification, including biometric scanning and real-time document authentication), AI-powered chat support and secure data handling. The Alexis S Series is designed as a one-stop solution for organisations looking to drive service efficiency, strengthen security and deliver a future-ready customer experience. Riding the AI wave Industry data highlights a robust future for AI customer service tools. According to Emerico, the global AI chatbot market is projected to grow from US$15.6bil in 2024 to US$46.6bil by 2029, with the broader conversational AI market expected to reach US$59.4bil by 2030. This growth is fuelled by businesses' increasing need to automate customer service, optimise operations and deliver swift, reliable digital experiences. Emerico's AI platform offers solutions that address common business challenges, including acquiring new customers, managing support efficiently and tailoring services to individual needs. Intelligent customer engagement At the core of the S Series is Agentic AI,enabling the platform to operate independently, learn from large volumes of data, and make real-time decisions. This is especially valuable for businesses in dynamic or complex sectors. Its key features include: > Predictive customer segmentation: analyses data to identify high-value prospects, allowing businesses to focus marketing resources where they are most likely to succeed > AI-powered lead scoring: automatically ranking leads by conversion likelihood, helping sales teams prioritise efforts and close deals more efficiently > Real-time customer insights: enables businesses to monitor customer behaviour and campaign outcomes and refining strategies on the fly to maximise return on investment. These capabilities empower businesses to deliver highly targeted marketing, craft personalised customer journeys and optimise spending, ultimately improving conversion rates and customer lifetime value. Seamless human-AI interaction The Alexis S Series also combines AI-powered chatbots with live video conferencing and virtual assistants. Routine queries are managed instantly via chatbots, while complex issues can be seamlessly escalated to human agents through intelligent video routing, ensuring rapid, personalised responses. Additional business-focused features include: > AI-powered identity verification and object recognition: enhances security and streamlines onboarding > Flexible integration: customisable for industries from banking to retail and government, with support for mobile applications, digital payments and remote onboarding. Protecting innovation Emerico's commitment to innovation is also reflected in its approach to intellectual property. The company shared that the Kuala Lumpur High Court recently awarded it over RM7.7mil in damages after ruling its favour in a patent infringement case. The case involved a patented notepad protective sleeve featuring biometric and card reader technology, now protected in Malaysia, Singapore, Japan, the Philippines, Germany, Thailand, the Republic of Korea and the People's Republic of China, with patents pending in several other countries. This legal victory underscores the company's role as a homegrown technology innovator. By blending advanced AI, robust data management and seamless human integration, the platform aims to help organisations stay ahead in a competitive landscape. Emerico's expansion into the global market with the Alexis S Series highlights the growing importance of AI in shaping the future of business and reaffirms Malaysia's place on the map as a technology innovator. For more information, scan the QR code or email info@ For more information, email info@ or scan the QR code to visit the website.
Techday NZ
05-06-2025
- Business
- Techday NZ
AI & edge technologies top Hannover Messe 2025 trends
New research from IoT Analytics highlights the top ten industrial technology trends observed at Hannover Messe 2025. IoT Analytics' latest report, based on comprehensive analysis at Hannover Messe 2025, has identified the principal trends influencing the industrial technology landscape. This 111-page research document offers in-depth insights into the state and future direction of industrial automation, driven extensively by the integration of artificial intelligence and advanced digital operations. The prominence of generative artificial intelligence within industrial software was a notable theme, with businesses embedding these capabilities into their digital platforms and manufacturing workflows. The evaluation notes that agentic AI—technology capable of taking actions autonomously—has begun to emerge, though it remains at an early stage of development and adoption. Edge technology also featured strongly among the key trends. Developments in edge-native design are enabling faster, more efficient data processing outside centralised cloud environments, contributing to greater responsiveness and improved operational security within industrial settings. IoT Analytics identifies DataOps platforms as seeing increasing demand, with their role expanding up the technology stack. DataOps helps industrial companies better manage, integrate and operationalise their rapidly growing data resources, aligning collection, processing and insight generation with business objectives. Another important development is the use of digital threads—connected digital records of a product's lifecycle—augmented by artificial intelligence. These are transforming design and engineering practices, allowing greater traceability and optimised decision-making throughout asset and production cycles. Sensors and predictive maintenance are now more tightly integrated. The report observes a shift toward sensor-centric predictive maintenance systems, which are expanding into previously overlooked equipment asset classes, aiming to minimise downtime and enhance reliability. The demand for private 5G networks across industry has risen, driven by the need for secure, scalable and reliable connectivity. However, IoT Analytics notes that integration remains a significant barrier for many organisations, slowing widespread adoption despite clear interest and value. Sustainability efforts are evolving as companies introduce AI frameworks and platforms to track, manage and reduce environmental impact. Artificial intelligence is enabling more targeted approaches and generating actionable sustainability insights for manufacturers and industrial operators. The concept of cognition in robotics is also advancing, with digital twins evolving from static virtual replicas to more dynamic, real-time industrial copilots. These AI-powered tools facilitate adaptive simulations, process planning and augmented production support on the factory floor. "Industrial AI, edge-native architectures, and data-centric operations are the defining industrial technology trends in 2025. In our conversations with dozens of industrial tech vendors, most notably at Hannover Messe 2025, it has become clear that AI now dominates the industrial agenda. Vendors are racing to show meaningful progress, with many already moving beyond generative AI toward agentic workflows and more autonomous systems," Knud Lasse Lueth, Chief Executive Officer at IoT Analytics, said, providing perspective on these findings. "AI is transforming every layer of the industrial technology stack — spanning edge, dataops, software solutions, and cloud. It was clear from Hannover Messe 2025 that every major industrial player is placing bets on AI—not just as an enhancement but as the engine room of their manufacturing strategy. This included applications ranging from copilots and industrial foundation models to AI-native edge stacks and digital twins. However, to unlock the next wave of value from AI, industrial companies must move beyond basic AI assistants and focus towards deeper integration across the technology stack and develop industry-focused AI solutions," Harsha Anand, Senior Analyst at IoT Analytics, stated, expanding on the role of artificial intelligence throughout the sector. IoT Analytics reported an increased presence of edge technologies, DataOps applications, and AI-centred solutions at Hannover Messe, with many organisations demonstrating their current solutions in these areas for the first time. The research also highlights increasing collaboration within the technology ecosystem, as companies seek to accelerate industrial automation progress through partnership and knowledge sharing. The IoT Analytics team, comprised of 20 analysts onsite, collected data and conducted interviews to assess these trends and benchmark them across vendors and sectors. Their event report includes 34 detailed insights and 118 topic or vendor-specific examples, as observed during the event. The identified trends point towards a growing reliance on artificial intelligence as a fundamental operational component as manufacturers and industrial technology providers navigate new strategies for production, asset management, and process optimisation.
Yahoo
03-06-2025
- Business
- Yahoo
Matia Launches Unified Data Catalog to Power End-to-End Data Visibility and Governance
SAN FRANCISCO, June 03, 2025--(BUSINESS WIRE)--Matia, the unified DataOps platform, today announced, at Snowflake's annual user conference, Snowflake Summit 2025, the general availability of its enhanced Data Catalog. The catalog marks a major milestone in the evolution of the platform, enabling teams to manage metadata, track lineage, and govern data from a single pane of glass. "As adoption of Matia accelerates, we're focused on deepening the core pillars that matter most to our users," said Benjamin Segal, Co-founder and CEO of Matia. "We heard from startups to enterprises that they didn't want to have to buy a separate tool to fully understand their data. The catalog is now fully embedded into the Matia experience, helping teams navigate their data with clarity, trust, and speed." This launch reinforces Matia's commitment to streamlining the modern data stack. By embedding catalog functionality directly into its ETL, reverse ETL, and observability layers, Matia eliminates the need for disconnected tools and fragmented workflows. Unlike platforms that offer end-to-end lineage as a visual add-on, Matia's Catalog delivers operational lineage, including run history, error tracking, and full data observability, because the catalog is built into the core of the unified platform. With robust support for dbt, Snowflake, and all Matia's 100+ supported connectors, Matia's Catalog brings powerful capabilities into a streamlined interface: End-to-End Lineage at the column and table level, enabling impact analysis, compliance tracking, and debugging Operational Lineage, including run history, error logs, data freshness and other observability indicators, so teams can click on an asset in graphical pipeline authoring and understand not just where data flows but how it's performing in real time dbt Cataloging, automatically parsing dbt models, sources, jobs, and tests with rich metadata, documentation, ownership, and lineage. Matia Tags and integration with dbt and Snowflake tags to organize assets and drive discoverability Data Certification for marking assets as trusted, verified, and ready for use Universal Search across all connected metadata and assets Ramp, the leading financial operations platform, leverages Matia's Catalog to manage its large-scale dbt project. "Most data catalog tools show you a diagram, but what we needed was context--what ran, what failed, what changed," said Akshay Ajbani, Senior Analytics Engineer at Ramp. "Matia is unified so lineage isn't just a visual, it's actionable. We can trace data issues, understand ownership, and answer stakeholder questions without digging through five different tools." Today's expansion continues Matia's mission to unify the modern data stack, helping data teams streamline their tools, accelerate collaboration, and maximize their impact. Visit Matia at Booth 2109 during Snowflake Summit, June 2–5 in San Francisco to experience the platform firsthand and explore the latest in unified data catalog, ETL, Reverse ETL, and Observability. Learn more about Matia's Data Catalog here. About Matia Matia is a data operations platform that streamlines data management through unified ingestion, reverse ETL, observability, and catalog. Designed for seamless collaboration, Matia empowers organizations and the data teams that power them faster, smarter decisions with less tool bloat. Matia is backed by leading investors at Leaders Fund, Secret Chord Ventures, Cerca Partners and Caffeinated Capital and used by the data teams at Ramp, Drata, Honeybook, and Lemonade. Learn more at View source version on Contacts Media Contact press@ Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data
Business Wire
03-06-2025
- Business
- Business Wire
Matia Launches Unified Data Catalog to Power End-to-End Data Visibility and Governance
SAN FRANCISCO--(BUSINESS WIRE)--Matia, the unified DataOps platform, today announced, at Snowflake's annual user conference, Snowflake Summit 2025, the general availability of its enhanced Data Catalog. The catalog marks a major milestone in the evolution of the platform, enabling teams to manage metadata, track lineage, and govern data from a single pane of glass. 'We heard from startups to enterprises that they didn't want to have to buy a separate tool to fully understand their data. The catalog is now fully embedded into the Matia experience, helping teams navigate their data with clarity, trust, and speed.' 'As adoption of Matia accelerates, we're focused on deepening the core pillars that matter most to our users,' said Benjamin Segal, Co-founder and CEO of Matia. 'We heard from startups to enterprises that they didn't want to have to buy a separate tool to fully understand their data. The catalog is now fully embedded into the Matia experience, helping teams navigate their data with clarity, trust, and speed.' This launch reinforces Matia's commitment to streamlining the modern data stack. By embedding catalog functionality directly into its ETL, reverse ETL, and observability layers, Matia eliminates the need for disconnected tools and fragmented workflows. Unlike platforms that offer end-to-end lineage as a visual add-on, Matia's Catalog delivers operational lineage, including run history, error tracking, and full data observability, because the catalog is built into the core of the unified platform. With robust support for dbt, Snowflake, and all Matia's 100+ supported connectors, Matia's Catalog brings powerful capabilities into a streamlined interface: End-to-End Lineage at the column and table level, enabling impact analysis, compliance tracking, and debugging Operational Lineage, including run history, error logs, data freshness and other observability indicators, so teams can click on an asset in graphical pipeline authoring and understand not just where data flows but how it's performing in real time dbt Cataloging, automatically parsing dbt models, sources, jobs, and tests with rich metadata, documentation, ownership, and lineage. Matia Tags and integration with dbt and Snowflake tags to organize assets and drive discoverability Data Certification for marking assets as trusted, verified, and ready for use Universal Search across all connected metadata and assets Ramp, the leading financial operations platform, leverages Matia's Catalog to manage its large-scale dbt project. 'Most data catalog tools show you a diagram, but what we needed was context--what ran, what failed, what changed,' said Akshay Ajbani, Senior Analytics Engineer at Ramp. 'Matia is unified so lineage isn't just a visual, it's actionable. We can trace data issues, understand ownership, and answer stakeholder questions without digging through five different tools.' Today's expansion continues Matia's mission to unify the modern data stack, helping data teams streamline their tools, accelerate collaboration, and maximize their impact. Visit Matia at Booth 2109 during Snowflake Summit, June 2–5 in San Francisco to experience the platform firsthand and explore the latest in unified data catalog, ETL, Reverse ETL, and Observability. Learn more about Matia's Data Catalog here. About Matia Matia is a data operations platform that streamlines data management through unified ingestion, reverse ETL, observability, and catalog. Designed for seamless collaboration, Matia empowers organizations and the data teams that power them faster, smarter decisions with less tool bloat. Matia is backed by leading investors at Leaders Fund, Secret Chord Ventures, Cerca Partners and Caffeinated Capital and used by the data teams at Ramp, Drata, Honeybook, and Lemonade. Learn more at
Yahoo
21-05-2025
- Business
- Yahoo
DataOps.live Announces Strategic Partnership with Snowflake to Accelerate "Frictionless" DevOps for Data Success
New multi-year product, technology & GTM alignment will power data engineering teams to deploy best-in-class DataOps methodologies LONDON, May 21, 2025 /PRNewswire/ -- the Data Products Company, today announced a strategic partnership with Snowflake, the AI Data Cloud company, to drive product innovation and tighten technology integrations. As an Elite Tier partner for Devops, is committed to co-developing and delivering on a robust multi-year roadmap of joint product capabilities. Through this collaboration and Snowflake Ventures' investment, roadmap of joint product capabilities will enable joint customers to modernize and scale their data engineering programs with speed, consistency, and governance. " continues to augment and extend native Snowflake features, bringing advanced capabilities in the data engineering space to our customers," said Andrew Helgeson, Sr. Manager, Platform ISV Partnerships at Snowflake. "The latest Snowflake Native Apps rolled out by are the direct result of collaboration with Snowflake's product team, with a singular focus on helping customers develop and maintain more data products safely and efficiently on the Snowflake platform." Through this expanded alignment, the companies will introduce a new generation of jointly developed capabilities and enhancements to existing tools, designed to function as seamless extensions of the AI Data Cloud as Snowflake Native Apps available on the Snowflake Marketplace. This includes free, frictionless access to the entire platform for all Snowflake customers to access and deploy entirely from the Snowflake Marketplace, as well as point solutions to fulfill key needs around CI/CD and operationalizing dbt™ at the enterprise level. These capabilities, now available in Public Preview, will allow data engineering teams to move faster, enable governance and reliability at scale, and deploy best-in-class DataOps methodologies across their organizations. "We are very pleased to have achieved this strategic partnership and investment from Snowflake to deliver fundamental platform enhancements around DevOps for data to our joint customers with deep technology, product, and GTM alignment," said John F. Marchese, Chief Partner Officer & EVP Strategic Channels at "This agreement provides clarity and confidence for Snowflake customers, who can now trust their decision to use without concern based on the alignment and integration of our joint teams, bringing the platform for Snowflake AI Data Cloud to market together to empower Data Engineering teams with critical capabilities for success." One element of the partnership is to keep the Snowflake ecosystem of prospects, customers, and partners up to date with the deliverables, road map advancement, and success stories over time. To that end, Snowflake will host a "living blog" that will be updated regularly with contributions from both companies. About empowers data engineering teams to deliver trusted insights faster than ever. Standardized workflows, automated testing, and enforceable governance make it possible to deliver reliable data products at enterprise scale. is a global company funded by Notion Capital, Anthos Capital, and Snowflake Ventures, with enterprise clients including Roche Diagnostics, Snowflake, Digikey, and Eutelsat. For more information, visit Media Contacts:Chris McCoin or Richard SmithMcCoin & Smith Communications Inc.508-429-5988 (Chris) or 978-618-4492 (Rick)395581@ View original content to download multimedia: SOURCE Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data
