March, 2025

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Unlocking Data Team Success: Are You Process-Centric or Data-Centric?

DataKitchen

Unlocking Data Team Success: Are You Process-Centric or Data-Centric? Over the years of working with data analytics teams in large and small companies, we have been fortunate enough to observe hundreds of companies. We want to share our observations about data teams, how they work and think, and their challenges. We’ve identified two distinct types of data teams: process-centric and data-centric.

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Chain of Draft Prompting with Gemini and Groq

Analytics Vidhya

Recent advancements in reasoning models, such as OpenAI’s o1 and DeepSeek R1, have propelled LLMs to achieve impressive performance through techniques like Chain of Thought (CoT). However, the verbose nature of CoT leads to increased computational costs and latency. A novel paper published by Zoom Communications presents a new prompting technique called Chain of Draft […] The post Chain of Draft Prompting with Gemini and Groq appeared first on Analytics Vidhya.

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Escaping POC Purgatory: Evaluation-Driven Development for AI Systems

O'Reilly on Data

Lets be real: building LLM applications today feels like purgatory. Someone hacks together a quick demo with ChatGPT and LlamaIndex. Leadership gets excited. We can answer any question about our docs! But then reality hits. The system is inconsistent, slow, hallucinatingand that amazing demo starts collecting digital dust. We call this POC Purgatorythat frustrating limbo where you’ve built something cool but can’t quite turn it into something real.

Testing 168
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7 types of tech debt that could cripple your business

CIO Business Intelligence

CIOs perennially deal with technical debts risks, costs, and complexities. While the impacts of legacy systems can be quantified, technical debt is also often embedded in subtler ways across the IT ecosystem, making it hard to account for the full list of issues and risks. Forrester reports that 30% of IT leaders struggle with high or critical debt, while 49% more face moderate levels.

Risk 140
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Automation, Evolved: Your New Playbook For Smarter Knowledge Work

Speaker: Frank Taliano

Document-heavy workflows slow down productivity, bury institutional knowledge, and drain resources. But with the right AI implementation, these inefficiencies become opportunities for transformation. So how do you identify where to start and how to succeed? Learn how to develop a clear, practical roadmap for leveraging AI to streamline processes, automate knowledge work, and unlock real operational gains.

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10 NVIDIA GTC 2025 Announements that You Must Know

Analytics Vidhya

I still remember last year’s NVIDIA GTC, Jensen Huang with its visionary approach along with a touch of humour introduced the developers with promises to redefine technology. From Blackwell architecture, Generative AI with NIM, GB200 AI Chip to Project Groot and other things, we got a glimpse into the future of technology. Now the future […] The post 10 NVIDIA GTC 2025 Announements that You Must Know appeared first on Analytics Vidhya.

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Accelerate analytics and AI innovation with the next generation of Amazon SageMaker

AWS Big Data

At AWS re:Invent 2024, we announced the next generation of Amazon SageMaker , the center for all your data, analytics, and AI. Amazon SageMaker brings together widely adopted AWS machine learning (ML) and analytics capabilities and addresses the challenges of harnessing organizational data for analytics and AI through unified access to tools and data with governance built in.

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Data Is Risky Business: Is Data Governance Failing? Or Are We Failing Data Governance?

TDAN

In January, CDO Magazine carried an article by a consortium of authors including Dr. Tom Redman, John Ladley, Dr. Anne-Marie Smith, and others. The eye-catching headline: Data Governance is failing heres why.

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Decentralized AI Training: 4 Leading Dataset Solutions For Your Business

Smart Data Collective

Empower your AI! Discover 4 leading dataset solutions for decentralized AI training that can elevate your business's capabilities.

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5 top business use cases for AI agents

CIO Business Intelligence

The next evolution of AI has arrived, and its agentic. AI agents are powered by the same AI systems as chatbots, but can take independent action, collaborate to achieve bigger objectives, and take over entire business workflows. The technology is relatively new, but all the major players are already on board. In October, Microsoft announced that 100,000 organizations including Standard Bank, Thomson Reuters, Virgin Money, and Zurich Insurance are using Copilot Studio, double the number just mont

Software 143
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Top 13 Advanced RAG Techniques for Your Next Project

Analytics Vidhya

Can AI generate truly relevant answers at scale? How do we make sure it understands complex, multi-turn conversations? And how do we keep it from confidently spitting out incorrect facts? These are the kinds of challenges that modern AI systems face, especially those built using RAG. RAG combines the power of document retrieval with the […] The post Top 13 Advanced RAG Techniques for Your Next Project appeared first on Analytics Vidhya.

Analytics 214
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State of AI in Sales & Marketing 2025

AI adoption is reshaping sales and marketing. But is it delivering real results? We surveyed 1,000+ GTM professionals to find out. The data is clear: AI users report 47% higher productivity and an average of 12 hours saved per week. But leaders say mainstream AI tools still fall short on accuracy and business impact. Download the full report today to see how AI is being used — and where go-to-market professionals think there are gaps and opportunities.

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Build multi-Region resilient Apache Kafka applications with identical topic names using Amazon MSK and Amazon MSK Replicator

AWS Big Data

Resilience has always been a top priority for customers running mission-critical Apache Kafka applications. Amazon Managed Streaming for Apache Kafka (Amazon MSK) is deployed across multiple Availability Zones and provides resilience within an AWS Region. However, mission-critical Kafka deployments require cross-Region resilience to minimize downtime during service impairment in a Region.

Metrics 84
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Top 7 Open-Source LLMs in 2025

KDnuggets

These models are free to use, can be fine-tuned, and offer enhanced privacy and security since they can run directly on your machine, and match the performance of proprietary solutions like o3-min and Gemini 2.0.

Modeling 139
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Lumina Foundation’s "Stronger Nation" Gets a Powerful New Data Experience

Darkhorse

For over a decade, Lumina Foundation has tracked the nations progress in post-high school educational attainment, providing key insights for policymakers, researchers, and advocates. Their goal has always been clear: increasing education access and ensuring credentials lead to real economic opportunities. Now, theyre taking that mission a step further.

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A Practical Approach to Data Mesh Implementation

TDAN

Its easy to make the case for building a data mesh within your business. By enabling a decentralized approach to data management, data meshes can improve agility, reduce bottlenecks, and help teams make decisions based on the most recent, accurate information.

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How to Achieve High-Accuracy Results When Using LLMs

Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage

When tasked with building a fundamentally new product line with deeper insights than previously achievable for a high-value client, Ben Epstein and his team faced a significant challenge: how to harness LLMs to produce consistent, high-accuracy outputs at scale. In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation m

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88% of AI pilots fail to reach production — but that’s not all on IT

CIO Business Intelligence

The proof of concept (POC) has become a key facet of CIOs AI strategies, providing a low-stakes way to test AI use cases without full commitment. But as enterprises increasingly experience pilot fatigue and pivot toward seeking practical results from their efforts , learnings from these experiments wont be enough the process itself may need to produce more targeted success rates.

ROI 127
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How to Integrate yFiles with LlamaIndex for Knowledge Graph Visualization?

Analytics Vidhya

yFiles is a powerful SDK designed to simplify the visualization of complex networks and data relationships. When combined with LlamaIndex, it becomes a powerful tool for visualizing and interacting with knowledge graphs in real time. This guide walks you through the integration process, highlights essential steps, and demonstrates key features for an impactful, useful and […] The post How to Integrate yFiles with LlamaIndex for Knowledge Graph Visualization?

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Build a secure data visualization application using the Amazon Redshift Data API with AWS IAM Identity Center

AWS Big Data

In todays data-driven world, securely accessing, visualizing, and analyzing data is essential for making informed business decisions. Tens of thousands of customers use Amazon Redshift for modern data analytics at scale, delivering up to three times better price-performance and seven times better throughput than other cloud data warehouses. The Amazon Redshift Data API simplifies access to your Amazon Redshift data warehouse by removing the need to manage database drivers, connections, network c

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7 GitHub Projects to Master Machine Learning

KDnuggets

Learn model serving, CI/CD, ML orchestration, model deployment, local AI, and Docker to streamline ML workflows, automate pipelines, and deploy scalable, portable AI solutions effectively.

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Zero Trust Mandate: The Realities, Requirements and Roadmap

The DHS compliance audit clock is ticking on Zero Trust. Government agencies can no longer ignore or delay their Zero Trust initiatives. During this virtual panel discussion—featuring Kelly Fuller Gordon, Founder and CEO of RisX, Chris Wild, Zero Trust subject matter expert at Zermount, Inc., and Principal of Cybersecurity Practice at Eliassen Group, Trey Gannon—you’ll gain a detailed understanding of the Federal Zero Trust mandate, its requirements, milestones, and deadlines.

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Navigating the Data Maze: Top Trends in Data Intelligence for 2025

BI-Survey

Imagine standing at the entrance of a vast, ever-expanding labyrinth of data. Each day, the walls shift and new pathways emerge. How do you not only find your way through but also extract the treasures hidden within? This is the challenge facing organizations, especially data consumers, today as data volumes explode and complexity multiplies. The compass you need might just be Data Intelligenceand it’s more crucial now than ever before.

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How long until data is on the balance sheet?

Anmut

The Shifting Asset Paradigm In 1988, Australia became one of the first countries to formally recognise intangible assets on the balance sheet. During the 1980s, Australia experienced a surge in corporate mergers and acquisitions (M&A), fuelled by economic liberalisation and deregulation. Companies were being bought and sold at values far exceeding their net tangible assets.

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The product operating model that’s driving transformation at Modivcare

CIO Business Intelligence

Modivcare, which provides services to better connect people with care, is on a transformative journey to optimize its services by implementing a new product operating model. With such a shift, Modivcare and its CIO Jessica Kral aim to create a comprehensive and shared view of the companys processes. This transition also supports a more strategic roadmap for growth and innovation.

Modeling 118
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How to Use Apache Iceberg Tables?

Analytics Vidhya

Apache Iceberg is a modern table format designed to overcome the limitations of traditional Hive tables, offering improved performance, consistency, and scalability. In this article, we will explore the evolution of Iceberg, its key features like ACID transactions, partition evolution, and time travel, and how it integrates with modern data lakes. Well also dive into […] The post How to Use Apache Iceberg Tables?

Data Lake 211
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Revolutionize QA: GAPs AI-Driven Accelerators for Smarter, Faster Testing

GAP's AI-Driven QA Accelerators revolutionize software testing by automating repetitive tasks and enhancing test coverage. From generating test cases and Cypress code to AI-powered code reviews and detailed defect reports, our platform streamlines QA processes, saving time and resources. Accelerate API testing with Pytest-based cases and boost accuracy while reducing human error.

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Unlock the power of optimization in Amazon Redshift Serverless

AWS Big Data

Amazon Redshift Serverless automatically scales compute capacity to match workload demands, measuring this capacity in Redshift Processing Units (RPUs). Although traditional scaling primarily responds to query queue times, the new AI-driven scaling and optimization feature offers a more sophisticated approach by considering multiple factors including query complexity and data volume.

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How to Fully Automate Data Cleaning with Python in 5 Steps

KDnuggets

Data cleaning can be quite tedious and boring. But it doesn't have to be. Here's how you can automate most of the data cleaning steps with Python.

IT 133
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5 Proven Data-Driven Strategies to Skyrocket Your Company’s Revenue

Aryng

If your companys revenue is stagnating or worse, plummeting, its because something in your strategy is broken. But the good news is that you dont need to burn more cash on ads, hire expensive consultants, or pivot to something completely new. All you need is better data-driven decision-making. How to Increase Revenue for Your […] The post 5 Proven Data-Driven Strategies to Skyrocket Your Companys Revenue appeared first on Aryng's Blog.

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Understanding GenAI and Agentic AI: What’s the Difference?

Smarten

Choose or Combine GenAI and/or Agentic AI for Apps The only way to avoid news of Artificial Intelligence (AI) is to move to the top of a mountain and leave all your devices behind. Talk of AI is everywhere. So, it is no surprise that most businesses are considering how to incorporate artificial intelligence (AI) into their consumer apps, business applications, websites and mobile applications.

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Optimizing The Modern Developer Experience with Coder

Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.

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IT leaders brace for the AI agent management challenge

CIO Business Intelligence

With AI agents poised to take over significant portions of enterprise workflows, IT leaders will be faced with an increasingly complex challenge: managing them. There is a pending concern about how to manage AI agents in the cloud, says Dave McCarthy, research vice president at IDC, noting that the expanding availability of AI agents from startups and established vendors will give CIOs asset management, security, and versioning challenges.

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How to Use MCP: Model Context Protocol

Analytics Vidhya

Youve built applications with LLMs. Youve played with agents. Maybe youve even worked with LangChain, AutoGen, or OpenAIs Assistants API. Isnt it impressive how much these models can reason, understand, and generate? But the moment your agent needs to do something real, like check a database, read from a CRM, or fetch a Google Doc; […] The post How to Use MCP: Model Context Protocol appeared first on Analytics Vidhya.

Modeling 213
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Cross-account data collaboration with Amazon DataZone and AWS analytical tools

AWS Big Data

Data sharing has become a crucial aspect of driving innovation, contributing to growth, and fostering collaboration across industries. According to this Gartner study , organizations promoting data sharing outperform their peers on most business value metrics. A straightforward data access and sharing mechanism is crucial for enabling effective data sharing across an organization.

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The Hundred-Page Language Models Book: A Great Technical Intro to LLMs

KDnuggets

The Hundred-Page Language Models Book is the LLM book you shouldn't miss.

Modeling 133
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Maximizing Profit and Productivity: The New Era of AI-Powered Accounting

Speaker: Yohan Lobo and Dennis Street

In the accounting world, staying ahead means embracing the tools that allow you to work smarter, not harder. Outdated processes and disconnected systems can hold your organization back, but the right technologies can help you streamline operations, boost productivity, and improve client delivery. Dive into the strategies and innovations transforming accounting practices.