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Ramon Cidade shares why Apache Flink was a game changer at Current 2025 in New Orleans, and gives his take on what makes the data streaming event so special: the community, the people, and the technology they’re innovating with.
Integrating Qlik Analytics with Snowflake Cortex Agents for real-time augmented analysis: Extends natural-language capability beyond dashboards Integrates semantic and business logic Understands and applies Qlik filters dynamically Handles nuanced, domain-specific questions Enables ad-hoc and exploratory insights by drilling down to details Supports complex, multi-step analytics in a single application Drives faster decision-making Complements Qlik associative engine capabilities and visualizations.
Are you tired of exporting data from your ERP, reformatting it in Excel, then discovering that you need to start over because someone entered a last-minute transaction? For finance teams everywhere, this frustrating cycle eats up hours that could be spent on higher-value work. Manual report preparation, week after week and month after month, is draining. By the time you’ve pulled data from multiple sources and made it presentable, it’s already outdated.
With the integration of Trino, Cloudera SDX, and Cloudera Octopai Data Lineage, Cloudera arms enterprises with seamless access and control of their data, anywhere, automating workflows and boosting efficiency.
What does the future hold for agentic AI? Lucia Cerchie predicts a shift from chatbots to more agent-to-agent interactions built into real-world business workflows.
From the heart of the expo hall at Current NOLA, this special episode drops you into the conversations, energy, and the breakthroughs as they happened. Host, Joseph Morais, and co-host, Adi Polak talk with data streaming leaders and community voices to unpack how teams are using Apache Kafka and Apache Flink to power low-latency, AI-ready applications—covering patterns from usage-based billing and hybrid operations to cost efficiency and streaming governance. You’ll also hear how shift-left processing and governance make AI-ready data possible at scale.
In the world of early-stage startups, the real enemies aren’t competitors. It’s time, focus, and credibility. You’re racing to ship fast, protect runway, and look enterprise-ready long before you actually are. And in 2025, every serious buyer expects your product to have native, AI-powered analytics built in. Not basic dashboards, but a polished, conversational, ask-anything, data experience that delivers trusted answers.