Systems | Development | Analytics | API | Testing

antino

How to Engage AI for Calculating Credit Scoring?

Dec 19, 2025 By Radhakanth Kodukula In Antino
Across the globe, 1.5 billion people remain unbanked, without access to even the most basic financial services. For the rest, fewer than 50% of the banked population qualify for formal credit, limiting both financial inclusion and lending growth. In an era where traditional credit models struggle to assess evolving financial behaviors, AI credit scoring is emerging as a strategic differentiator for banks and fintechs alike.
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WSO2

What Is an MCP Gateway? Key Features and Benefits

Dec 19, 2025 By Dakshitha Ratnayake In WSO2
API protocols evolve every few years. We have moved from SOAP to REST, then to GraphQL, gRPC, and AsyncAPI for event-driven systems. Now with the rise of large language models (LLMs) and AI agents, organizations need a new class of interfaces that allow agents to take action across real systems, not just generate text. LLMs are powerful reasoning engines, but they lack context. They cannot perform actions by themselves, see real-time data, private information, or internal systems.
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Why Apache Iceberg & Open Lakehouse is the Foundation for Data & AI Workloads

Dec 19, 2025 By Cloudera, Inc. In Cloudera
In this discussion, Dipankar - Cloudera’s Director of Developer Relations sits with Navita - Director of Product Marketing to unpack why Apache Iceberg has emerged as the foundation of the open lakehouse - and why it’s increasingly essential for modern Data & AI workloads. Dipankar & Navita walks through how Iceberg became the de facto standard among open table formats, what it's design enables (interoperability, engine-agnostic access, reliable metadata), and why openness matters as organizations move toward multi-engine, hybrid data architectures.
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Koyeb

Why You Should Run AI-Generated Code in a Sandbox

Dec 19, 2025 By Alisdair Broshar, Jen Person In Koyeb
At their best, code generation LLMs reduce cognitive load, accelerate iteration, and serve as a great pair programmer for well-scoped tasks. That said, they also introduce a level of risk. Whether it’s using a variable that was never declared, making up functions that aren’t part of a class, using code from outdated packages, or misdiagnosing an issue, code generation models can create problems.
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hitachi vantara

Operationalizing Agentic AI with Hitachi iQ Studio and NVIDIA Nemotron 3

Dec 18, 2025 By Jason Hardy In Hitachi Vantara
NVIDIA just announced NVIDIA Nemotron 3, a new family of open models, datasets, and libraries designed to support long-context reasoning and multi-step AI workflows. With the ability to work across enterprise ecosystems, this family of models empowers enterprises to build and deploy reliable multi-agent systems at scale, offering an important set of technologies at a pivotal moment in AI evolution.
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iguazio

7 RAG Evaluation Tools You Must Know

Dec 18, 2025 By Alexandra Quinn In Iguazio
RAG evaluation measures how effectively a system retrieves relevant context and uses it to generate grounded answers. These evaluations detect hallucinations, measure retrieval precision and reveal where pipelines degrade after model updates or knowledge-base changes. Engineers rely on these tools to maintain output quality, prevent regressions, validate prompt and architecture choices and ensure that production answers stay aligned with trusted sources.
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keploy

Replit vs Cursor : Which AI Coding Platform Should Developers Choose?

Dec 18, 2025 By Keploy In Keploy
In an age where software developers are speeding up their code development to meet the demand of rapid application deployment, there are new tools being developed based on Artificial Intelligence (AI) technology. Replit and Cursor have received a lot of excitement for both of these platforms due to their use of artificial intelligence in assisting developers with coding.
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thoughtspot

Meet the New BI A-Team

Dec 18, 2025 By Francois Lopitaux In ThoughtSpot
Talk to anyone who works with data, and you’ll hear a familiar story: Data engineers are still bogged down cleaning, prepping, and untangling semantic models. Analysts are churning out dashboard after dashboard, with little time left for real analysis. Developers are hand-coding embedded analytics, turning every new feature into a months-long project. And business users are stuck in line, waiting for answers.
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How SpotterCode Supercharges ThoughtSpot Embeds for Developers

Dec 18, 2025 By ThoughtSpot In ThoughtSpot
Developers, ditch the documentation dive! SpotterCode is your 10x coding partner for embedded intelligence. ThoughtSpot's Nicolas Rentz shows how SpotterCode leverages the ThoughtSpot SDK docs and code examples to auto-generate production-ready code directly in your IDE. Accelerate your path to market with clean, seamless integration.
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