Building Agent Co-pilots for Proactive Call Centers

Gen AI call center co-pilots can provide enterprises with operational visibility and insights while automating repetitive tasks, to improve the customer experience. In this session, we’ll show how a large health insurance provider implemented an agentic co-pilot designed scale across multiple call centers and environments. To dive deep into the architecture and see a demo of the co-pilot, you can watch the webinar this blog is based on.

Unleashing AI-Driven Innovation: ThoughtSpot's Momentum in Australia & New Zealand

At ThoughtSpot, we’re on a mission to empower every business user to become a data champion. Over the past year, I’ve witnessed firsthand how organizations across Australia and New Zealand are embracing this vision, transforming the way they work, make decisions, and serve their customers. Today, I’m excited to share some of the incredible momentum we’re seeing in the region and to celebrate the forward-thinking organizations leading the charge.

Right-sizing MS SQL Server Storage Balancing Cost and Performance

As your business grows, so does your data. And if you’re running Microsoft SQL Server, you’ve likely faced the challenge of managing storage in a way that doesn’t break the bank but keeps your applications running smoothly. It’s a balancing act that many IT professionals and business leaders struggle with daily. We hear from numerous mid-sized companies that hit a wall with their Microsoft SQL Server database.

How to Query Apache Kafka Topics With Natural Language

Modern companies generate large volumes of data, but often the internal users who need that data to do their jobs—data engineers, managers, business analysts, and developers—can find it challenging to quickly figure out answers to their questions. Apache Kafka is a powerhouse for real-time data processing of high-throughput workloads, and many organizations use Kafka to enable self-service access to data streams.

Iceberg, Snowflake, and Polaris are Cool, but Qlik Brings the Heat

With the Snowflake Summit 2025 on the horizon, customers can anticipate groundbreaking innovations that address the challenges of leveraging data at scale and address. One of the greatest challenges is transforming raw data into AI, analytics, LMM, and RAG-ready formats. This requires effective ingestion, transformation, and governance. This is where Qlik, in collaboration with Snowflake, brings the heat.

Forecast Product Demand with BigQuery ML

Predictive analytics helps businesses move from guesswork to informed decisions—especially when it comes to inventory. Using sales data already stored in BigQuery, this demo walks through how to forecast future demand using BigQuery ML. With just a few lines of SQL, viewers see how to transform raw data, train an ARIMA model, and generate confident sales predictions without needing to export data or manage additional machine learning infrastructure.

Prepare Sales Data for Analysis & Reporting in Minutes Using a Simple Chat-Based Interface

�������� �������� �������� ������ ���� ������������ ���� ������������ �� ������������������������? �������� ������������ �������� ��������, ���� ����. Prepare your sales data for analysis in just minutes using the chat-based interface. Whether your data is messy or complex, simply type your instructions in plain, natural language and watch as Astera Data Prep, powered by AI, cleans, organizes, and gets it ready for analysis. No technical expertise is required. Just a few simple words and you are ready to gain valuable insights from your data.

Empowering the Office of the CFO in the Microsoft Dynamics Ecosystem

Finance leaders today face increasingly complex challenges, from managing vast amounts of data to meeting growing demands for real-time insights and agility. During a recent LinkedIn Live session, insightsoftware showcased how it is addressing these challenges by empowering the Office of the CFO through innovative solutions, deep integration with Microsoft Dynamics, and strategic partnerships. Head over to our LinkedIn page to watch on-demand.

Databricks Composable CDP for Customer Data Strategy

In the era of data-driven decision-making, Customer Data Platforms (CDPs) are pivotal. However, legacy CDPs, which are monolithic, inflexible, and siloed, are falling behind. The rise of Composable CDPs marks a strategic pivot, placing power back in the hands of data teams. At the forefront of this shift is Databricks, whose Lakehouse Platform offers a foundation to unify, govern, and activate customer data with unprecedented agility.

A Deep Dive into the Service Fusion API (Updated 2025)

In today's interconnected SaaS landscape, application programming interfaces (APIs) have emerged not just as technical enablers but as strategic assets. For field service businesses managing complex operations—from dispatch and inventory to customer engagement—the Service Fusion API offers a powerful gateway to automation, integration, and operational intelligence.