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perforce

AI-Assisted Code Remediation: How to Connect Any MCP Host to Perforce Static Analysis

Jul 2, 2026 By Perforce In Perforce
Static analysis has always excelled at finding defects, vulnerabilities, and compliance violations. Before AI-assisted code remediation, however, developers still had to research the root cause, design a fix, and manually verify that the correction satisfies the relevant requirements. The new, built-in AI-assisted code remediation feature speeds up this process.
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integrate

How to Connect Your Data Warehouse to AI Agents With MCP

Jul 2, 2026 By Donal Tobin In Integrate
Your organization invested heavily in a data warehouse, yet business users still wait days for answers to simple questions. The disconnect between where data lives and who needs it remains one of the persistent challenges in enterprise analytics. With 95% of AI pilots failing due to poor data foundations and accessibility issues, companies need a standardized way to connect AI agents to their existing data infrastructure.
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integrate

MCP vs REST APIs for Data Integration: When to Use Each

Jul 2, 2026 By Donal Tobin In Integrate
Your data integration team just asked: "Should we use MCP or REST APIs?" The answer is yes to both. With the ETL market reaching $10.24 billion in 2026 and projected to grow to $21.25 billion by 2031, understanding when to leverage each technology determines whether your AI agents can autonomously adapt to changing data needs or require manual code updates for every new integration.
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The 7 Best Multi-Agent Software Development Tools in 2026

The 7 Best Multi-Agent Software Development Tools in 2026

Jul 2, 2026 By SystemsDigest In SystemsDigest
Artificial intelligence has become a standard part of software development. Most engineering teams now use AI to generate code, explain unfamiliar functions, write tests, or accelerate documentation. These capabilities have become widely available, and the underlying language models continue to improve at an impressive pace. But as organizations move beyond experimentation, many are discovering that code generation alone does not solve their biggest engineering bottlenecks.
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databox

How to Become an AI-Native Team

Jul 1, 2026 By Špela Jurič In Databox
A year ago we announced that Databox is becoming an AI-first company. At the time, that mostly meant what it meant for many companies in 2025: AI becoming a strategic priority. Teams were encouraged to experiment and adopt new tools, as it was clear that AI wasn’t a trend we could ignore. That was the easy part. What’s become clear over the last year is that there’s a significant difference between being AI-first and being AI-native.
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appian

Appian Q2 Product Highlights: Helping You Move from Standalone AI Tools to Orchestrated AI Workflows

Jul 1, 2026 By Rachel Nizinski In Appian
Organizations have rapidly adopted artificial intelligence, but a stark divide is emerging: those who are embedding AI into the core of their operations, and those who are treating it as a standalone tool. According to a recent Harvard Business Review Analytic Services survey, only a small share of resondents say their organization has largely integrated AI into workflows.
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AI Agents Write Broken Code 49% of the Time #speedscale #AI #Coding #Tech #DevOps

Jul 1, 2026 By Speedscale In Speedscale
AI agents write broken code nearly 50% of the time. By adding a traffic-based deterministic evaluation, Speedscale boosted unsupervised bug-fixing quality from 51% to 77% in just 5 minutes. This helped slash token costs and eliminate rework without human intervention. Learn more: speedscale.com.
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Where AI Capital Is Flowing: Insights From The Snowflake-Crunchbase Report

Jul 1, 2026 By Snowflake Inc. In Snowflake
At Snowflake Summit 2026, Gene Teare from Crunchbase and Harsha Kapre, Director at Snowflake Ventures, discuss their joint report examining AI investment trends and capital formation in the data ecosystem. Learn how the market has evolved from 2021's broad exuberance to concentrated investment in AI-ready infrastructure, governance, and agentic applications. Discover what signals indicate a startup is truly enterprise-ready versus experimental, and explore the next phase of capital formation in the agentic AI economy.
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qlik

Qlik Named a Leader. Again. For the 16th Year. For Us, AI Was Never an Afterthought.

Jul 1, 2026 By Brendan Grady In Qlik
We are excited to share that Qlik has been recognized as a Leader in the 2026 Gartner Magic Quadrant for Analytics & Business Intelligence Platforms, recognized for both our Completeness of Vision and Ability to Execute. Download the complimentary report here. Sixteen years. Our Sweet Sixteen, if you're counting. I'd argue it's less a milestone for us and more a proof point.
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