Analytics Vidhya
MAY 23, 2025
Cleaning data used to be a time-consuming and repetitive process, which took up much of the data scientist’s time. But now with AI, the data cleaning process has become quicker, wiser, and more efficient. AI models such as ChatGPT, Claude, Gemini, etc, can be used to automate anything from correcting format issues to handling missing […] The post How to Clean Data Using AI appeared first on Analytics Vidhya.
O'Reilly on Data
MAY 19, 2025
About six weeks ago, I sent an email to Satya Nadella complaining about the monolithic winner-takes-all architecture that Silicon Valley seems to envision for AI, contrasting it with the architecture of participation that had driven previous technology revolutions, most notably the internet and open source software. I suspected that Satya might be sympathetic because of past conversations wed had when his book Hit Refresh was published in 2017.
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CIO Business Intelligence
MAY 22, 2025
Open protocols aimed at standardizing how AI systems connect, communicate, and absorb context are providing much needed maturity to an AI market that sees IT leaders anxious to pivot from experimentation to practical solutions. Three protocols in particular Model Context Protocol (MCP), Agent Communication Protocol (ACP), and Agent2Agent show promise for helping IT leaders put two-plus years of failed proof-of-concept projects behind them, opening a new era of measurable AI progress , experts
KDnuggets
MAY 14, 2025
This guide introduces data streaming from a data science perspective. Well explain what it is, why it matters, and how to use tools like Apache Kafka, Apache Flink, and PyFlink to build real-time pipelines.
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.
Teradata
MAY 30, 2025
Skip to main content Support Global Global Deutschland France 日本 대한민국 Why Teradata Our platform Getting started Insights About us search Try for free Contact us search Join us at Possible 2025. Register now Join us at Possible 2025. Register now Home Insights Data platform Article How To Use Airbyte, dbt-teradata, Dagster, and Teradata Vantage™ for Seamless Data Integration Build and orchestrate a data pipeline in Teradata Vantage using Airbyte, D
DataFloq
MAY 27, 2025
In today's modern economy, data is everything-if it's refined, processed, and delivered at the right time and place. That's the role of DataOps. DataOps combines Agile methodologies, DevOps , and data engineering to optimize data workflows. Specifically, DataOps is crucial in speeding up data activation and letting organizations transform data into actionable insights at a great pace.
Data Leaders Brief brings together the best content for data, strategy, and BI professionals from the widest variety of industry thought leaders.
DataKitchen
MAY 17, 2025
I broke one of our most critical SLAs just last week, and it was the best thing that could have happened. It was shaping up to be a major embarrassment. One of our key data warehouse refreshes had failed. No new data. No dashboard updates. The refresh was long past its deadline, the projects key data engineer was on vacation, and I was playing backup.
CIO Business Intelligence
MAY 20, 2025
Imagine waking up one morning to find your smart home turning against you. Your thermostat is cranked to extremes, your security cameras have gone dark and your smart fridge is placing orders you never approved. Outside, your electric vehicle suddenly flashes its headlights, blasts the radio at full volume and randomly locks and unlocks its doors without anyone inside.
KDnuggets
MAY 14, 2025
Add these 4 data analytic-based projects to your resume to land your next job.
Analytics Vidhya
MAY 17, 2025
Software engineering is changing, and by the end of 2025 its going to look fundamentally different. Greg Brockmans opening line at OpenAIs launch event set the tone for what followed. OpenAI released Codex, a cloudnative software agent designed to work alongside developers. Codex is not a single product but a family of agents powered by codex1, OpenAIs […] The post Meet OpenAI Codex: Cloud-based Software Engineering Agent appeared first on Analytics Vidhya.
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!
DataFloq
MAY 25, 2025
In the current era, businesses are increasingly using tailored consumer experiences to stand out in the competitive market. Customers now want firms to understand their unique preferences and provide content, goods, and services that are suited to them, making personalization a need rather than a luxury. Data plays a critical role in personalization, particularly when it comes to scaling the process.
David Menninger's Analyst Perspectives
MAY 22, 2025
The six costliest words in managing a finance department are, Weve always done it this way. The record-to-report (R2R) cycle describes the process of finalizing and summarizing the financial activities of a business for a specific accounting period typically a month, quarter or fiscal year. It is important to note that R2R exclusively covers the activities between recording (keeping the books) and reporting (publishing financial statements and management accounts).
Jen Stirrup
MAY 29, 2025
As a result of the AI hype, expectations do not map delivery. The increasing rate of AI project failures is easy to blame the technology, but this failure can be due to methodology gaps, rather than technical shortcomings. As in so many cases, there is the need for methodologies to facilitate the business-technical divide. In this post, we will look at differences between CRISP-DM, TDSP, IBM’s ASUM-DM, and OSEMN.
CIO Business Intelligence
MAY 2, 2025
The countdown is on. BMW plans to launch itsNew Classlineup at the end of this year. So while the electric iX3 is scheduled to roll off at the newly built plant in Debrecen, Hungary, production of the sedan is planned to start next year at BMW HQ in Munich. Accordingly, prep work is proceeding, and those in the thick of it have to ensure ongoing production continues while tomorrows can start smoothly.
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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.
KDnuggets
MAY 8, 2025
Breaking into data science has never been easy. In this tutorial, well make your life easier by providing you with a step-by-step roadmap for data science beginners.
AWS Big Data
MAY 2, 2025
You can now access the AI search flow builder on OpenSearch 2.19+ domains with Amazon OpenSearch Service and begin innovating AI search applications faster. Through a visual designer, you can configure custom AI search flowsa series of AI-driven data enrichments performed during ingestion and search. You can build and run these AI search flows on OpenSearch to power AI search applications on OpenSearch without you having to build and maintain custom middleware.
Analytics Vidhya
MAY 17, 2025
For all the tasks related to data science and machine learning, the most important thing that defines how a model will perform depends on how good our data is. Python Pandas and SQL are among the powerful tools that can help in extracting and manipulating data efficiently. By combining these two together, data analysts can […] The post How to Use Pandas and SQL Together for Data Analysis appeared first on Analytics Vidhya.
David Menninger's Analyst Perspectives
MAY 20, 2025
We live in a time of uncertainty, not unpredictability. Especially when a business finds itself on an undefined journey with an unclear destination whether caused by internal events or the world at large having plans to deal with a range of outcomes increases the odds of success. Or, at least enduring the least amount of damage. Managing an organization in uncertain times is always hard, but tools are available to improve the odds of success by making it easier and faster to plan for contingen
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.
DataFloq
MAY 28, 2025
In today's digitally-driven world, staying competitive isn't just about working harder'it's about working smarter. Businesses everywhere are recognizing that productivity and growth don't come from more hours, but from more intelligent systems. That's why forward-thinking companies are pairing two of the most transformative technologies of our time: Artificial Intelligence (AI) and Automation.
CIO Business Intelligence
MAY 23, 2025
How far have companies in various industries progressed with integrating their IT and OT architectures? What opportunities does the much-vaunted convergence open up and how can the previously separate worlds be efficiently controlled and managed in terms of IT/OT governance? A current study conducted by management consultancy 4C Group together with Markus Westner from OTH Regensburg examines these and other questions.
KDnuggets
MAY 22, 2025
A practical roadmap for Python programmers to develop the advanced skills, specialized knowledge, and engineering mindset needed to become successful AI engineers in 2025.
AWS Big Data
MAY 20, 2025
Traditionally, financial data analysis could require deep SQL expertise and database knowledge. Now with Amazon Bedrock Knowledge Bases integration with structured data, you can use simple, natural language prompts to query complex financial datasets. By combining the AI capabilities of Amazon Bedrock with an Amazon Redshift data warehouse, individuals with varied levels of technical expertise can quickly generate valuable insights, making sure that data-driven decision-making is no longer limit
Advertiser: ZoomInfo
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.
Teradata
MAY 30, 2025
Skip to main content Support Global Global Deutschland France 日本 대한민국 Why Teradata Our platform Getting started Insights About us search Try for free Contact us search Join us at Possible 2025. Register now Join us at Possible 2025. Register now Home Insights Artificial Intelligence Article Build a Data Mesh Architecture Using Teradata VantageCloud on AWS Explore how to build a data mesh architecture using Teradata VantageCloud Lake as the core data plat
David Menninger's Analyst Perspectives
MAY 22, 2025
I recently described how business data catalogs are evolving into data intelligence catalogs. These catalogs combine technical and business metadata and data governance capabilities with knowledge graph functionality to deliver a holistic, business-level view of data production and consumption. The concept of the knowledge graph has been part of the data sector for decades, but adoption has typically been limited to industries and enterprises focused on the Semantic Web, such as media, publishin
Analytics Vidhya
MAY 20, 2025
As students, we often ponder how our results will be after the final term examinations. So, we start speculating based on our previous internal marks performance, the number of all-nighters we have pulled, and our prior performance in similar courses. This approach of updating our beliefs about our potential performance aligns very closely with a […] The post What is Bayesian Thinking?
CIO Business Intelligence
MAY 23, 2025
When ERP transformation programs fail, the headlines always seem to spotlight the same usual suspects: budget overruns, missed go-lives, change resistance, or software incompatibilities. But its the underinvested missteps at phase 0 that are overlooked or skipped entirely where most organizations stumble. After supporting over a thousand ERP programs across industries, we repeatedly hear statements like the SI will handle it, well figure it out as we go, or we cant afford to do a Phase 0.
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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.
KDnuggets
MAY 23, 2025
The shift from native LLMs (2018) to LLM agents (2025) has enabled AI to move beyond static knowledge, integrating retrieval, reasoning, and real-world interaction for autonomous problem-solving.
AWS Big Data
MAY 22, 2025
Amazon Redshift supports querying data stored in Apache Iceberg tables managed by Amazon S3 Tables , which we previously covered as part of getting started blog post. While this blog post helps you to get started using Amazon Redshift with Amazon S3 Tables, there are additional steps you need to consider when working with your data in production environments, including who has access to your data and with what level of permissions.
Jet Global
MAY 21, 2025
“There’s been a lot of wrangling of data, a lot of wrangling of humans as well, which is a big theme for today,” says Warwick Leitch, Product Management Director at insightsoftware. In this episode of the ‘ Don’t Panic, It’s Just Data ‘ podcast, Debbie Reynolds, CEO and Chief Data Privacy Officer at Debbie Reynolds Consulting LLC, speaks with Leitch from insightsoftware.
David Menninger's Analyst Perspectives
MAY 14, 2025
Data governance has always been a critical part of the data and analytics landscape. However, for many years, it was seen as a preventive function to limit access to data and ensure compliance with security and data privacy requirements. To fulfill todays data-driven agendas, many enterprises need an evolved perspective on data governance. The development of new applications driven by artificial intelligence requires a more agile and collaborative approach to data governance one that automates
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.
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