Systems | Development | Analytics | API | Testing

Snow Report: What's Happening At Snowflake In October

Oct 9, 2025 By Snowflake Inc. In Snowflake
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.".
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yellowfin

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

Oct 9, 2025 By Yellowfin Team In Yellowfin
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.
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confluent

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

Oct 8, 2025 By Alex Stuart In Confluent
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.
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iguazio

Managing AI Risks When Implementing Gen AI

Oct 8, 2025 By Alexandra Quinn In Iguazio
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.
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Ep 43 | Mike Walsh Returns: Are AI Agents the New Workforce?

Oct 8, 2025 By Cloudera, Inc. In Cloudera
Fresh off his keynote at Cloudera’s EVOLVE NYC, futurist and author Mike Walsh returns to The AI Forecast to share bold insights on the rise of AI agents and what they mean for business, culture, and society. In this wide-ranging conversation, Mike explores how AI is evolving from simple automation into a limitless digital workforce, and why the real disruption lies in the second- and third-order consequences of this transformation.
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ClearML

ClearML Enterprise v3.27: Project Workloads Dashboard, Token Controls, and UI Upgrades

Oct 8, 2025 By Erez Schnaider In ClearML
ClearML Enterprise v3.27 delivers on the three capabilities most requested by practitioners : clear visibility into compute consumption inside projects, simpler and safer access control for remote sessions and deployed endpoints, and quality-of-life upgrades across the UI. The result is better cost control, stronger governance, and faster day-to-day execution.
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qlik

Truth or Clickbait: Going Beyond the Sensational Headlines on Enterprise AI

Oct 8, 2025 By James Fisher In Qlik
Does it sometimes feel like the world of AI is constantly resetting the clock? One day you’re under pressure to deliver value fast with your AI project. The next, a prominent study claims most projects deliver zero value. Then, a leading business publication explains that, actually, value doesn’t even matter right now. All while the technology itself is advancing at a dizzying pace.
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keboola

Top Data & Business Intelligence Platforms 2026

Oct 8, 2025 By Keboola In Keboola
By 2026, all-in-one data platforms will dominate because they deliver faster time-to-value, built-in governance, and AI copilots that actually work. Orchestration-only tools remain powerful for engineering-heavy teams, but most organizations will move to managed platforms that reduce incidents, simplify compliance, and accelerate insight delivery.
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