Sat.Oct 19, 2024 - Fri.Oct 25, 2024

article thumbnail

Rift Between Junior and Senior Developers

O'Reilly on Data

I’m worried about AI. I’m not worried about it taking my job. I believe AI is a genuine productivity tool. By which I mean it can make developers produce more. The question is whether those developers are producing something good or not. The difference between an experienced developer and a junior is that an experienced developer knows: There’s more than one good solution to every problem.

Software 342
article thumbnail

CIOs face mounting pressure as AI costs and complexities threaten enterprise value

CIO Business Intelligence

CIOs are under increasing pressure to deliver meaningful returns from generative AI initiatives, yet spiraling costs and complex governance challenges are undermining their efforts, according to Gartner. Despite AI’s potential to transform businesses, many senior technology leaders find themselves wrestling with unpredictable expenses, uneven productivity gains, and growing risks as AI adoption scales, Gartner said.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

10 GitHub Repositories to Master Natural Language Processing (NLP)

KDnuggets

Enhance your NLP skills through a variety of resources, including roadmaps, frameworks, courses, tutorials, example code, and projects.

138
138
article thumbnail

What is Agentic AI Tool Use Pattern?

Analytics Vidhya

Our previous guide discussed the first Agentic AI design pattern from the Reflection, Tool Use, Planning, and Multi-Agent Patterns list. Now, we will talk about the Tool Use Pattern in Agentic AI. Firstly, let us reiterate the Reflection Pattern article: That article sheds light on how LLMs can use an iterative generation process and self-assessment […] The post What is Agentic AI Tool Use Pattern?

Analytics 290
article thumbnail

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.

article thumbnail

Introducing simplified interaction with the Airflow REST API in Amazon MWAA

AWS Big Data

Amazon Managed Workflows for Apache Airflow (Amazon MWAA) is a fully managed service that builds upon Apache Airflow, offering its benefits while eliminating the need for you to set up, operate, and maintain the underlying infrastructure, reducing operational overhead while increasing security and resilience. Today, we are excited to announce an enhancement to the Amazon MWAA integration with the Airflow REST API.

More Trending

article thumbnail

The Evolution of LLMOps: Adapting MLOps for GenAI

Cloudera

In recent years, machine learning operations (MLOps) have become the standard practice for developing, deploying, and managing machine learning models. MLOps standardizes processes and workflows for faster, scalable, and risk-free model deployment, centralizing model management, automating CI/CD for deployment, providing continuous monitoring, and ensuring governance and release best practices.

article thumbnail

Understanding Face Parsing: A Deep Dive into Semantic Segmentation Technology

Analytics Vidhya

Image segmentation has become a popular technology, with different fine-tuned models available for various purposes. The model labels every pixel in an image by streaming every region of the input image; this concept makes the idea of semantic segmentation into reality and application. This Face parsing model is a semantic segmentation technology fine-tuned from Nvidia’s […] The post Understanding Face Parsing: A Deep Dive into Semantic Segmentation Technology appeared first on Analytics V

article thumbnail

Demystify data sharing and collaboration patterns on AWS: Choosing the right tool for the job

AWS Big Data

Data is the most significant asset of any organization. However, enterprises often encounter challenges with data silos, insufficient access controls, poor governance, and quality issues. Embracing data as a product is the key to address these challenges and foster a data-driven culture. In this context, the adoption of data lakes and the data mesh framework emerges as a powerful approach.

Sales 116
article thumbnail

Dulling the impact of AI-fueled cyber threats with AI

CIO Business Intelligence

IT leaders are placing faith in AI. Consider 76 percent of IT leaders believe that generative AI (GenAI) will significantly impact their organizations, with 76 percent increasing their budgets to pursue AI. But when it comes to cybersecurity, AI has become a double-edged sword. While poised to fortify the security posture of organizations, it has also changed the nature of cyberattacks.

Risk 128
article thumbnail

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.

article thumbnail

Give Business Users NLP Search Analytics and Get Results!

Smarten

NLP Search Analytics Ensures User Adoption! These days, most people understand the term Natural Language Processing (NLP). It has been around a while, and represents perhaps the most significant information tool in the past century. Machine Learning and Natural Language Processing (NLP) have unlocked a vast library of knowledge, making it accessible to the average person, requiring no significant technical skills, and leveling the playing field for millions of people, seeking to learn and unders

article thumbnail

Dynamic AI Workflows Through LangGraph ReAct Function Calling

Analytics Vidhya

The LangGraph ReAct Function-Calling Pattern offers a powerful framework for integrating various tools like search engines, calculators, and APIs with an intelligent language model to create a more interactive and responsive system. This pattern is built upon the Reasoning + Acting (ReAct) approach, which allows a language model to not only reason through queries but […] The post Dynamic AI Workflows Through LangGraph ReAct Function Calling appeared first on Analytics Vidhya.

article thumbnail

Analyze Amazon EMR on Amazon EC2 cluster usage with Amazon Athena and Amazon QuickSight

AWS Big Data

Gaining granular visibility into application-level costs on Amazon EMR on Amazon Elastic Compute Cloud (Amazon EC2) clusters presents an opportunity for customers looking for ways to further optimize resource utilization and implement fair cost allocation and chargeback models. By breaking down the usage of individual applications running in your EMR cluster, you can unlock several benefits: Informed workload management – Application-level cost insights empower organizations to prioritize and sc

Metrics 109
article thumbnail

Layoffs, AI demand create mismatched talent market for IT skills

CIO Business Intelligence

Ongoing layoffs in the tech industry and rising demand for AI skills are contributing to a growing mismatch in the IT talent market, which continues to show mixed signals as economic factors and the rise of AI impact budgets and the long-term outlook for IT skills. Since 2022, the tech industry has experienced massive layoffs, as large tech companies have reduced their workforce numbers in response to rising interest rates and emerging generative AI technology.

Marketing 130
article thumbnail

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.

article thumbnail

Cloudera and Snowflake Partner to Deliver the Most Comprehensive Open Data Lakehouse

Cloudera

In August, we wrote about how in a future where distributed data architectures are inevitable, unifying and managing operational and business metadata is critical to successfully maximizing the value of data, analytics, and AI. One of the most important innovations in data management is open table formats, specifically Apache Iceberg , which fundamentally transforms the way data teams manage operational metadata in the data lake.

article thumbnail

Paper-to-Voice Assistant: AI Agent Using Multimodal Approach

Analytics Vidhya

With this blog, I would like to show one small agent built-in with `LangGraph` and Google Gemini for research purposes. The objective is to demonstrate one research agent (Paper-to-Voice Assistant) who plans to summarize the research paper. This tool will use a vision model to infer the information. This method only identifies the step and […] The post Paper-to-Voice Assistant: AI Agent Using Multimodal Approach appeared first on Analytics Vidhya.

Modeling 205
article thumbnail

Achieve the best price-performance in Amazon Redshift with elastic histograms for selectivity estimation

AWS Big Data

Amazon Redshift is a fast, scalable, and fully managed cloud data warehouse that allows you to process and run your complex SQL analytics workloads on structured and semi-structured data. It also helps you securely access your data in operational databases, data lakes, or third-party datasets with minimal movement or copying of data. Tens of thousands of customers use Amazon Redshift to process large amounts of data, modernize their data analytics workloads, and provide insights for their busine

article thumbnail

Companies to shift AI goals in 2025 — with setbacks inevitable, Forrester predicts

CIO Business Intelligence

Forrester Research this week unleashed a slate of predictions for 2025. Noting that companies pursued bold experiments in 2024 driven by generative AI and other emerging technologies, the research and advisory firm predicts a pivot to realizing value. “2025 will be about the pursuit of near-term, bottom-line gains while competing for declining consumer loyalty and digital-first business buyers,” Sharyn Leaver, Forrester chief research officer, wrote in a blog post Tuesday.

ROI 127
article thumbnail

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.

article thumbnail

10 Essential Python Libraries for Data Science in 2024

KDnuggets

The richness of Python’s ecosystem has one downside: it makes it difficult to decide which libraries are the best for your needs. This article is an attempt to amend this by suggesting ten (and some more, as a bonus) libraries that are an absolute must in data science.

article thumbnail

How to Build a Simple LLM Application with LCEL?

Analytics Vidhya

Have you ever wondered how to build a multilingual application that can effortlessly translate text from English to other languages? Imagine creating your very own translation tool, leveraging the power of LangChain to handle the heavy lifting. In this article, we will learn how to build a basic application using LangChain to translate text from […] The post How to Build a Simple LLM Application with LCEL?

Analytics 208
article thumbnail

Simplify your query performance diagnostics in Amazon Redshift with Query profiler

AWS Big Data

Amazon Redshift is a fast, scalable, secure, and fully managed cloud data warehouse that lets you analyze your data at scale. Amazon Redshift Serverless lets you access and analyze data without the usual configurations of a provisioned data warehouse. Resources are automatically provisioned and data warehouse capacity is intelligently scaled to deliver fast performance for even the most demanding and unpredictable workloads.

article thumbnail

The mainframe’s future in the age of AI

CIO Business Intelligence

If there’s any doubt that mainframes will have a place in the AI future, many organizations running the hardware are already planning for it. While the 60-year-old mainframe platform wasn’t created to run AI workloads, 86% of business and IT leaders surveyed by Kyndryl say they are deploying, or plan to deploy, AI tools or applications on their mainframes.

article thumbnail

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.

article thumbnail

Denodo Provides a Logical Approach to Data Management

David Menninger's Analyst Perspectives

Although the terms data fabric and data mesh are often used interchangeably, I previously explained that they are distinct but complementary. Data fabric refers to technology products that can be used to integrate, manage and govern data across distributed environments, supporting the cultural and organizational data ownership and access goals of data mesh.

article thumbnail

How OpenAI Swarm Enhances Multi-Agent Collaboration?

Analytics Vidhya

OpenAI’s Swarm framework is designed to create a user-friendly and flexible environment for coordinating multiple agents. While it’s primarily intended for educational and experimental use, OpenAI advises against using Swarm in production settings, but it is a framework worth exploring. Its core purpose is to demonstrate the concepts of “handoffs” and “routines,” patterns that help […] The post How OpenAI Swarm Enhances Multi-Agent Collaboration?

article thumbnail

Manage Amazon OpenSearch Service Visualizations, Alerts, and More with GitHub and Jenkins

AWS Big Data

Amazon OpenSearch Service is a fully managed service for search and analytics. It allows organizations to secure data, perform searches, analyze logs, monitor applications in real time, and explore interactive log analytics. With its scalability, reliability, and ease of use, Amazon OpenSearch Service helps businesses optimize data-driven decisions and improve operational efficiency.

article thumbnail

As AI scales, infrastructure challenges emerge

CIO Business Intelligence

Organizations experimenting with gen AI typically set up enterprise-grade accounts with cloud-based services such as OpenAI’s ChatGPT or Anthropic’s Claude, and early field tests and productivity benefits may inspire them to look for more opportunities to deploy the technology. “Companies use gen AI to produce executive summaries, or to produce marketing content,” says Nick Kramer, leader of applied solutions at SSA & Company, a global consulting firm, and next year, we’ll see increased adop

article thumbnail

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