AI-powered DevOps platform provider Opsera today announced the expansion of its Databricks partnership with the launch of its DevOps for DataOps capability, a Built on Databricks solution.
Customers of Opsera and Databricks can use the solution to orchestrate end-to-end analytics and streamline delivery pipelines, the company wrote in its announcement. This is done through the Databricks Data Intelligence Platform, which brings together customer data with AI models unique to the business. The
platform is built on a lakehouse foundation of open data formats and open governance
to ensure that all data is completely within the customers’ control, Opsera said.
The DevOps for DataOps capabilities include automated deployments, built-in security and compliance, DORA metrics for monitoring pipeline health, and the use of natural language communication for debugging and triggering pipelines. Further, the solution enables DataOps teams to deploy database objects without custom scripts, using no-code, drag-and-drop pipelines.
“Opsera helps Databricks teams shift left by aligning security and delivery priorities in a
single pane of glass,” said Steve Sobel, Global Leader, Startup and Venture Programs
at Databricks. “Its commitment extends beyond eliminating today’s bottlenecks to
anticipating the future of scalable software delivery and evolving data workflows, with a
focus on user-friendly onboarding and customer experience.”
Observe.AI Unveils AI Agents for Voice of Customer Intelligence
With the latest release of GenAI Insights, Observe.AI customers can now gain access to the most granular insights from customer conversations, including turn-by-turn sentiment shifts, root causes behind those changes, and top reasons customers reach out, all tied to key business outcomes. These insights are now available to every team across the organization via AI agents, enabling smarter, faster decisions at scale, the company announced.
“Contact centers are home to the richest customer data in the enterprise, but that data has historically been locked behind siloed data systems, slow manual analysis, or complex tooling,” said Swapnil Jain, CEO and co-founder of Observe.AI. “With this latest release, we’re giving every team—not just analysts—on-demand access to deeper, smarter, evidence-based insights that drive business action.”
According to the company, the new GenAI Insights include:
- AskObserve – A natural language AI agent that’s your conversational shortcut to insights. Teams can now simply ask questions like “What’s driving complaints about our billing process?” or “Are customers mentioning competitor offers more often this quarter?” and receive real-time, structured answers that are backed by real data from conversations.
- AI Studio – A no-code command center for teams to easily and quickly configure, test and fine-tune their AI-powered services to be incorporated into any workflows. Customize conversation outputs into free-text summaries, flag competitor or named mentions, identify key moments and categorize topics, tailored for any use case for any team.
- L1/L2/L3 Customer Contact Reasons – Go beyond surface-level topics to reveal the underlying “why” behind customer interactions. GenAI Insights now breaks down conversations by first-level (L1), second-level (L2), and third-level (L3) contact reasons, offering a layered view that identifies behaviors and trends that impact first-contact resolution opportunities. For example, a CX team discovers that “account cancellations” (L1) are often driven by “long refund timelines” (L2) and “lack of status updates” (L3), enabling precise fixes that reduce churn.
- VoC Dashboards and Reporting – Ready-to-use VoC dashboards and customizable reports that track sentiment, contact reasons and how they connect. These dashboards surface operational metrics that matter most by linking them to real business outcomes and ROI. For example, an operations team sees that product-related calls with negative sentiment have the longest handle times, and works with the product team to preemptively address known issues.
Cloudera Joins AI-RAN Alliance to Drive AI-Native Telecommunications
Cloud hybrid data platform provider Cloudera has joined the AI-RAN Alliance, a global consortium committed to integrating AI into telecommunications infrastructure. In its announcement, Cloudera wrote: “The complexity of deploying AI across distributed edge environments is not trivial and telecommunication providers will have to drive strategic enterprise-wide efforts to operationalize AI at scale across the radio access network (RAN) to unlock its full commercial potential.”
NVIDIA was a founding member of the AI-RAN Alliance, which is working to standardize how AI can be integrated into new and existing networks, with the advantages of shared infrastructure for AI optimization, accelerating the development of edge AI applications, and establishing real-world proof points to help telecommunications deploy AI reliably and profitably, Cloudera said in the announcement..
