Sat.May 17, 2025 - Fri.May 23, 2025

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Knowledge Graphs are Critical to Data Intelligence and AI

David Menninger's Analyst Perspectives

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

Metadata 130
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An Architecture of Participation for AI?

O'Reilly on Data

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.

Marketing 247
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Meet OpenAI Codex: Cloud-based Software Engineering Agent

Analytics Vidhya

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.

Software 210
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MCP, ACP, and Agent2Agent set standards for scalable AI results

CIO Business Intelligence

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

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What’s New in Apache Airflow® 3.0—And How Will It Reshape Your Data Workflows?

Speaker: Tamara Fingerlin, Developer Advocate

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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What’s Next for AI and Sales?

David Menninger's Analyst Perspectives

Ten years have passed since artificial intelligence (AI) first appeared in sales technology, and the results are mixed. Early tools applied rudimentary machine learning (ML) models to customer relationship management (CRM) exports, assigning win probability scores or advising on the ideal time to call. The mathematics was sound, the demos impressive, yet adoption faltered because little thought was given as to how sellers should use this information.

Sales 130

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How to Clean Data Using AI

Analytics Vidhya

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.

Modeling 184
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IoT security: Challenges and best practices for a hyperconnected world

CIO Business Intelligence

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.

IoT 118
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Software Increases Productivity in the Record-to-Report Cycle

David Menninger's Analyst Perspectives

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).

Software 130
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Top 7 Python Frameworks for AI Agents

KDnuggets

Design, test, and deploy multi-agent systems in hours using the powerful agentic frameworks.

Testing 139
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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 is Bayesian Thinking?

Analytics Vidhya

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?

Analytics 154
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The AI-native generation is here. Don’t get left behind

CIO Business Intelligence

The commercialization of artificial intelligence (AI) has given rise to a new generation: AI-native humans. These humans grow up with voice-activated virtual assistants, personalized digital experiences and countless automated content-creation tools at their fingertips. To this young generation, living with AI is seamless and natural. To their parents, it is a different story.

Metrics 125
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AI-Enabled Contingency Planning is More Accessible Than Ever

David Menninger's Analyst Perspectives

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

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How I Broke Our SLA and Delighted Our Customer

DataKitchen

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.

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Automation, Evolved: Your New Playbook for Smarter Knowledge Work

Speaker: Frank Taliano

Documents are the backbone of enterprise operations, but they are also a common source of inefficiency. From buried insights to manual handoffs, document-based workflows can quietly stall decision-making and drain resources. For large, complex organizations, legacy systems and siloed processes create friction that AI is uniquely positioned to resolve.

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Google Search’s Two New AI Features: AI Overview and AI Mode

Analytics Vidhya

Google search has been an anchor for web searches across the world. Processing around 14 billion searches per day and around 2 trillion searches annually. Lets put that into perspective: 14 billion searches in a day is more than double the heartbeats of the entire human race per second! Google search is the pulse of […] The post Google Searchs Two New AI Features: AI Overview and AI Mode appeared first on Analytics Vidhya.

Analytics 154
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5 questions defining the CIO agenda today

CIO Business Intelligence

Perennial issues dominate todays CIO agenda: how to drive innovation while ensuring secure and modern IT operations, a workforce tuned for the future, and a balance sheet prepared to contain costs as they fluctuate. But while CIO.coms latest State of the CIO survey identifies AI initiatives, security work, modernization efforts, and talent needs as top drivers for IT leaders agendas again this year, subtle shifts in how best to tackle that work can be teased out by the key questions IT leaders f

Strategy 120
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Domo Addresses Data Products and Agentic AI

David Menninger's Analyst Perspectives

Domo is best known as a business intelligence (BI) and analytics software provider, thanks to its functionality for visualization, reporting, data science and embedded analytics. Additionally, as I recently explained , the companys platform addresses a broad range of capabilities that includes data governance and security, data integration and application development, as well as the automation and incorporation of artificial intelligence (AI) and machine learning (ML) models into BI and analytic

Metrics 130
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The 3 Horizons of LLM Evolution

KDnuggets

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.

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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.

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7 Things to know before getting into Gen AI

Analytics Vidhya

Since the introduction of Generative AI as a domain, it would be hard to come by an industry that hasnt been affected by it. But instead of being at loggerheads with it, it has received widespread adoption. Generative AI has been incorporated into the day-to-day workflows of most domains, and this alarming presence has made […] The post 7 Things to know before getting into Gen AI appeared first on Analytics Vidhya.

Analytics 199
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IBM’s massive SAP S/4HANA migration pays off

CIO Business Intelligence

IBM is at SAPs Sapphire conference in Orlando this week promoting its consulting services and wisdom gained from its multiyear transformation to SAP S/4HANA on IBM Power Virtual Server. Ann Funai , CIO and vice president of IBMs Business Platform Transformation, says Big Blue has achieved a 30% reduction in infrastructure-related operational costs since completing its migration to SAPs cloud ERP platform last July.

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Empower financial analytics by creating structured knowledge bases using Amazon Bedrock and Amazon Redshift

AWS Big Data

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

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Surprising Things You Can Do with Python’s csv Module

KDnuggets

Think it's just for reading simple tables? See what else you can do with this Python standard library module.

IT 117
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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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How to Use Pandas and SQL Together for Data Analysis

Analytics Vidhya

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.

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Synthetic data’s fine line between reward and disaster

CIO Business Intelligence

Up to 20% of the data used for training AI is already synthetic that is, generated rather than obtained by observing the real world with LLMs using millions of synthesized samples. That could reach up to 80% by 2028 according to Gartner, adding that by 2030, itll be used for more business decision making than real data. Technically, though, any output you get from an LLM is synthetic data.

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Scalable analytics and centralized governance for Apache Iceberg tables using Amazon S3 Tables and Amazon Redshift

AWS Big Data

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.

Analytics 106
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The Sun is Setting on PowerCenter Support: What’s Next?

KDnuggets

As standard PowerCenter support winds down, the path forward requires careful consideration of your organization's specific needs and constraints.

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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