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.

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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.

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How to Streamline Payment Applications & Lien Waivers Through Innovative Construction Technology

Speaker: Dylan Secrest, Founder of Alamo Innovation and Construction Digital Transformation Consultant

Construction payment workflows are notoriously complex when you consider juggling multiple stakeholders, compliance requirements, and evolving project scopes. Delays in approvals or misaligned data between budgets, lien waivers, and pay applications can grind progress to a halt. The good news? It doesn't have to be this way! Join expert Dylan Secrest to discover how leading contractors are turning payment chaos into clarity using digital workflows, integrated systems, and automation strategies.

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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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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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Learning BI Co-existence from Sled Dogs

Paul Blogs on BI

On a recent trip to see the Polar bears in Churchill, Manitoba, Canada (something to add to your bucket list), we took a side trip to go mushing with sled dogs. This was an amazing experience and apart from the exhilarating ride itself, I was totally fascinated by how these 6 small huskies could pull a sled with 3 people on a 1-mile circuit through the snowy woods with amazing coordination and, seemingly, without much effort.

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3 musts when recruiting vendors for AI

CIO Business Intelligence

Two years of experimentation may have given rise to several valuable use cases for gen AI , but during the same period, IT leaders have also learned that the new, fast-evolving technology isnt something to jump into blindly. Some organizations, like imaging and laser printer company Lexmark, have found ways of fencing in the downside potential so they can benefit from the huge upside.

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LaTeXify in Python: No Need to Write LaTeX Equations Manually

Analytics Vidhya

In mathematical computing and scientific programming, clear and precise representation of functions is essential. While LaTeX is widely used for formatting mathematical expressions, manually writing equations can be time-consuming. The latexify-py library offers a solution by automatically converting Python functions into LaTeX-formatted expressions.

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Airflow Best Practices for ETL/ELT Pipelines

Speaker: Kenten Danas, Senior Manager, Developer Relations

ETL and ELT are some of the most common data engineering use cases, but can come with challenges like scaling, connectivity to other systems, and dynamically adapting to changing data sources. Airflow is specifically designed for moving and transforming data in ETL/ELT pipelines, and new features in Airflow 3.0 like assets, backfills, and event-driven scheduling make orchestrating ETL/ELT pipelines easier than ever!

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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.

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Davivienda: Redefining Customer Engagement With Predictive Life Event Models

Dataiku

Davivienda is elevating customer engagement by anticipating key life events and delivering personalized financial solutions at the right moment. To better serve its 21 million customers, the bank moved beyond reactive offers to proactively predict significant life moments such as family planning, real estate purchases, and health-related events. This approach aims to provide timely, tailored financial solutions that enhance customer satisfaction, drive engagement, and foster long-term loyalty.

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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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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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Whats New in Apache Airflow 3.0 –– And How Will It Reshape Your Data Workflows?

Apache Airflow® 3.0, the most anticipated Airflow release yet, officially launched this April. As the de facto standard for data orchestration, Airflow is trusted by over 77,000 organizations to power everything from advanced analytics to production AI and MLOps. With the 3.0 release, the top-requested features from the community were delivered, including a revamped UI for easier navigation, stronger security, and greater flexibility to run tasks anywhere at any time.

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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

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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?

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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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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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Agent Tooling: Connecting AI to Your Tools, Systems & Data

Speaker: Alex Salazar, CEO & Co-Founder @ Arcade | Nate Barbettini, Founding Engineer @ Arcade | Tony Karrer, Founder & CTO @ Aggregage

There’s a lot of noise surrounding the ability of AI agents to connect to your tools, systems and data. But building an AI application into a reliable, secure workflow agent isn’t as simple as plugging in an API. As an engineering leader, it can be challenging to make sense of this evolving landscape, but agent tooling provides such high value that it’s critical we figure out how to move forward.

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What If AI’s Mistakes Aren’t Bugs, but Features?

TDAN

We often say AIs mistakes are by design, but theyre really not. AI wasnt built to fail in these specific ways its errors emerge as a byproduct of how it learns. But what if we actively use them as a tool instead of just tolerating AIs weird mistakes or trying to eliminate them?

IT
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Info-Tech Names Logi Symphony as a 2025 Leader in Business Intelligence and Analytics

Jet Global

Info-Tech has released its 2025 Data Quadrant Report , which recognizes the best in technology solutions. Every year, Info-Tech evaluates top-performing software solutions based on authentic user reviews. Evaluating feedback from 3,433 users, this years report turned its focus toward business intelligence (BI) and analytics solutions that drive better decision-making for customers.

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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.

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How to Access Data Science Agent in Google Colab?

Analytics Vidhya

What if you could skip the boring bits of data analysis and jump straight to the good stuff – like uncovering insights? Google Colabs new Data Science Agent, powered by Gemini AI, does just that by handling tasks like importing libraries, cleaning up data, running exploratory data analysis (EDA), and even generating code for you. […] The post How to Access Data Science Agent in Google Colab?

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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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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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Davivienda: Transforming Customer Engagement Through Data Accuracy

Dataiku

As one of Colombias most innovative banks, Davivienda drives digital transformation to better serve its 21 million customers. Accurate and reliable contact information is crucial for delivering exceptional service, running effective marketing campaigns, and sending timely notifications. But inconsistent phone number data from multiple sources made it difficult to engage customers effectively, limiting opportunities for communication and creating inefficiencies across teams.

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AI’s Newest Employee: Who Bears the Burden of Your Digital Co-Workers?

TDAN

Digital co-workers are no longer hypothetical. AI-driven agents (Agentics) are creeping into every function, every decision process, and every interaction within organizations. In some ways, they are the executive dream they dont need coffee breaks, demand raises, or call in sick. And yet, theyre reshaping work in ways few leaders are prepared to handle.

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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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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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What’s driving the global common data capability at RGA

CIO Business Intelligence

When the board says, AI! CIOs have the daunting task of educating it on the various flavors of this capability, and steering them to the most beneficial investments and strategies. Mark Brooks, who became CIO of Reinsurance Group of America in 2023, did just that, and restructured the technology organization to support the platform, redefined the programs success metrics, and proved to the board that IT is a good steward of the dollar.

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Traditional RAG to Graph RAG: The Evolution of Knowledge Retrieval Systems in Artificial Intelligence

Analytics Vidhya

The change from traditional retrieval-augmented generation to Graph RAG proves an interesting shift in machines’ understanding and processing of knowledge, and this study considers both architectures in their differences, applications, and further trajectories. The present organization and access of information will tell whether the AI merely has an answer or actually understands the question in […] The post Traditional RAG to Graph RAG: The Evolution of Knowledge Retrieval Systems i

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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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Davivienda: A Multi-Dimensional Approach to Customer Financial Well-Being

Dataiku

Davivienda , one of Colombias largest banks, is known for its diverse range of financial services, including loans, credit cards, and investment solutions. With a commitment to innovation and digital transformation, Davivienda set out to improve the financial well-being of its 21 million customers. The initiative aimed to strengthen customer relationships by helping individuals manage their finances better, fostering trust, and creating personalized, meaningful solutions.

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Data Talks, CFOs Listen: Why Analytics Are Key To Better Spend Management

Speaker: Claire Grosjean, Global Finance & Operations Executive

Finance teams are drowning in data—but is it actually helping them spend smarter? Without the right approach, excess spending, inefficiencies, and missed opportunities continue to drain profitability. While analytics offers powerful insights, financial intelligence requires more than just numbers—it takes the right blend of automation, strategy, and human expertise.