Systems | Development | Analytics | API | Testing

The Hidden Forces Reshaping Embedded BI

Three key trends are changing how organizations approach embedded analytics. Companies that recognize these shifts gain competitive advantages while others struggle with outdated strategies. Ramin Jahanbani has watched this transformation from the front lines. As Senior Divisional Vice President at insightsoftware Data + Analytics, he’s guided hundreds of organizations through analytics decisions over the past decade.

Beyond Compliance: Confluent's Commitment to Trust and Transparency

In today's fast-paced digital world, real-time data streaming has become indispensable for modern enterprises, powering everything from instant insights to enhanced customer experiences. As organizations move critical data infrastructure to the cloud, the need for robust security, risk management, and unwavering compliance is more important than ever. According to the 2025 Data Streaming Report, investments in security remain among the highest priority for 94% of surveyed IT leaders.

Transforming Oil & Gas: How Qlik, Snowflake, and AWS Are Powering the Future with Generative AI and Unified Data

In a special session at Qlik Connect this past May in Orlando, attendees got to hear from three industry leaders - Dave Freriks from Qlik, Randy Pettus from Snowflake, and Sathisan Vannadil from AWS - all coming together to detail a cutting-edge integration of generative AI across the three different platforms. Their mission: help oil and gas companies harness the power of advanced data solutions to manage complexity, drive efficiency, and accelerate decision-making.

Cut Your ETL/ELT Costs Without Compromising Reliability

ETL/ELT costs often rise faster than expected — hidden overages, consumption-based surprises, and hours wasted on schema fixes all add up. The result? Budgets get drained while engineering time is tied up in maintenance instead of building. In this session, we’ll show you how to get full control over pipeline costs without compromising reliability. Learn practical strategies and see a live demo of how Hevo enables transparent pricing, automated schema management, and built-in cost monitoring to help teams achieve predictable, cost-efficient data operations.

Snow Report: What's Happening At Snowflake In October

Supercharge your development workflow with Snowflake Workspaces. Find out how it boosts productiivity and enables collaboration in this month's edition of the Snow Report. You'll also find details about this year's Startup Challenge, hosted by Snowflake and the New York Stock Exchange. The grand prize is up to $1,000,000 in investment money. You'll also get all the details about BUILD 2025 as well as information on a host of virtual events, including Startup Demo Day and a workshop titled "Unlocking AI with an Interoperable Data Mesh.".

APIs, SDKs, & iFrames: A Practical Guide to Embedded BI

Looking to embed analytics into your software? Your method of integration boils down to a key trade-off between cost, time, and customization. Book a demo and see how Yellowfin makes embedding analytics easy. As a software product owner, you already know that embedded analytics is a game-changer for delivering a great user experience and creating a truly data-driven user experience.

No More Swamps: Building a Better-Governed Data Lake Architecture

Two data challenges exist across almost all organizations: access and trust. These issues scale exponentially as an organization grows to the point that it can no longer hand around sheets of paper or approve database access. The demand for better data access drove the history of data warehousing, following the ethos that better decisions come from more data and that compute would catch up with demand. However, the hunger for collecting more data didn’t come without a cost.

Managing AI Risks When Implementing Gen AI

As enterprises embed gen AI into their workflows, many are discovering a minefield of risks. Data privacy breaches, misinformation, adversarial attacks and hidden bias are just a few of the challenges that can derail gen AI initiatives. These aren't just technical concerns, they're business-critical issues that can erode trust, trigger legal consequences, and tarnish reputations.