Sat.Nov 23, 2024 - Fri.Nov 29, 2024

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Windsurf Editor: Revolutionizing Coding with AI-Powered Intelligence

Analytics Vidhya

In the dynamic world of software development, where innovation is the cornerstone of success, developers constantly seek tools that can enhance their productivity and streamline their workflows. Enter Windsurf Editor by Codeium, a revolutionary platform that redefines the coding experience by integrating the power of artificial intelligence (AI). The tech world is witnessing an extraordinary […] The post Windsurf Editor: Revolutionizing Coding with AI-Powered Intelligence appeared first on

Software 227
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Educating a New Generation of Workers

O'Reilly on Data

There is a crisis in technical education. The golden road to a career has always been through a college education. However, this “golden road” has developed deep cracks and is badly in need of maintenance. Postsecondary education is rapidly becoming unaffordable, even at public colleges and universities. Tuition has risen at a rate 50% greater than inflation.

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5 Tips for Building Scalable Data Pipelines

KDnuggets

Building data pipelines is a very important skill that you should learn as a data engineer. A data pipeline is just a series of procedures that transport data from one location to another, frequently changing it along the way.

IT 101
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Gaining Financial Management Effectiveness in Midsize Enterprises

David Menninger's Analyst Perspectives

Doing more with less is the defining characteristic of finance and accounting departments in midsize enterprises, which ISG research defines as organizations with between 100 and 999 workers. One frustrating truth confronting executives in these organizations is that, once their company stops being a small business, it has many of the same challenges that large enterprises face but with fewer resources to deal with them.

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Enterprise ABM Marketing Tools: A Marketer's Guide

Savvy B2B marketers know that a great account-based marketing (ABM) strategy leads to higher ROI and sustainable growth. In this guide, we’ll cover: What makes for a successful ABM strategy? What are the key elements and capabilities of ABM that can make a real difference? How is AI changing workflows and driving functionality? This Martech Intelligence Report on Enterprise Account-Based Marketing examines the state of ABM in 2024 and what to consider when implementing ABM software.

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From Vision to Value: Visual GenAI in Dataiku

Dataiku

Everything changed in October of 2023. Prior to October of that year, Generative AI (GenAI) had already been creating steady waves across all industries, altering the way and speed at which work was produced. However, that autumn, OpenAI natively included their image generation model, DALL-E 2, into ChatGPT. This integration brought the idea of visual GenAI image creation into the mainstream.

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How to Choose Best ML Model for your Usecase?

Analytics Vidhya

Machine learning (ML) has become a cornerstone of modern technology, enabling businesses and researchers to make data-driven decisions with greater precision. However, with the vast number of ML models available, choosing the right one for your specific use case can be challenging. Whether you’re working on a classification task, predicting trends, or building a recommendation […] The post How to Choose Best ML Model for your Usecase?

Modeling 240

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When is data too clean to be useful for enterprise AI?

CIO Business Intelligence

Once the province of the data warehouse team, data management has increasingly become a C-suite priority, with data quality seen as key for both customer experience and business performance. But along with siloed data and compliance concerns , poor data quality is holding back enterprise AI projects. And while most executives generally trust their data, they also say less than two thirds of it is usable.

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Intel Accelerators on Amazon OpenSearch Service improve price-performance on vector search by up to 51%

AWS Big Data

This post is co-written with Mulugeta Mammo and Akash Shankaran from Intel. Today, we’re excited to announce the availability of Intel Advanced Vector Extensions 512 (AVX-512) technology acceleration on vector search workloads when you run OpenSearch 2.17+ domains with the 4 th generation Intel Xeon Intel instances on the Amazon OpenSearch Service. When you run OpenSearch 2.17 domains on C/M/R 7i instances , you can gain up to 51% in vector search performance at no additional cost compared to pr

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2024 for OpenAI: Highs, Lows, and Everything in Between

Analytics Vidhya

The year 2024 was nothing short of a rollercoaster for OpenAI, a company that has become synonymous with the cutting edge of artificial intelligence. From groundbreaking product launches to leadership shake-ups and even legal disputes, OpenAI navigated a whirlwind of events. These happenings showcased both the promise and the challenges of building advanced AI systems […] The post 2024 for OpenAI: Highs, Lows, and Everything in Between appeared first on Analytics Vidhya.

Analytics 229
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Tips for Handling Large Datasets in Python

KDnuggets

Working with large datasets is common but challenging. Here are some tips to make working with such large datasets in Python simpler.

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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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The key to operational AI: Modern data architecture

CIO Business Intelligence

From customer service chatbots to marketing teams analyzing call center data, the majority of enterprises—about 90% according to recent data —have begun exploring AI. However, there’s a significant difference between those experimenting with AI and those fully integrating it into their operations. For companies investing in data science, realizing the return on these investments requires embedding AI deeply into business processes.

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Amazon EMR streamlines big data processing with simplified Amazon S3 Glacier access

AWS Big Data

Amazon S3 Glacier serves several important audit use cases, particularly for organizations that need to retain data for extended periods due to regulatory compliance, legal requirements, or internal policies. S3 Glacier is ideal for long-term data retention and archiving of audit logs, financial records, healthcare information, and other compliance-related data.

Big Data 101
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Exploring GraphRAG from Theory to Implementation

Analytics Vidhya

GraphRAG adopts a more structured and hierarchical method to Retrieval Augmented Generation (RAG), distinguishing itself from traditional RAG approaches that rely on basic semantic searches of unorganized text snippets. The process begins by converting raw text into a knowledge graph, organizing the data into a community structure, and summarizing these groupings.

Analytics 238
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Massive Black Friday Deals for Machine Learning Fans!

KDnuggets

Black Friday is finally here, and so are huge savings for your machine learning journey!

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15 Modern Use Cases for Enterprise Business Intelligence

Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?

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Security-FinOps collaboration can reap hidden cloud benefits: 11 tips

CIO Business Intelligence

For enterprises operating on the cloud, security and cost management are rising concerns. Typically, these issues are addressed in silos, with cyber teams and FinOps teams pursuing their charters and priorities separately — and with little thought given to collaboration opportunities between these teams that could be leveraged for better business results.

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Run Apache XTable in AWS Lambda for background conversion of open table formats

AWS Big Data

This post was co-written with Dipankar Mazumdar, Staff Data Engineering Advocate with AWS Partner OneHouse. Data architecture has evolved significantly to handle growing data volumes and diverse workloads. Initially, data warehouses were the go-to solution for structured data and analytical workloads but were limited by proprietary storage formats and their inability to handle unstructured data.

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LangChain vs CrewAI vs AutoGen to Build a Data Analysis Agent

Analytics Vidhya

In today’s data-driven world, organizations rely on data analysts to interpret complex datasets, uncover actionable insights, and drive decision-making. But what if we could enhance the efficiency and scalability of this process using AI? Enter the Data Analysis Agent, to automate analytical tasks, execute code, and adaptively respond to data queries.

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Math Myths Busted: What Beginners Actually Need for Data Science

KDnuggets

Terrified of calculus but dream of being a data scientist? Breathe easy! Discover the surprising truth about math in data science and how you can succeed without being a math genius.

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8 Steps to Transformation at Speed & Scale – Your Guide to Deploying StratOps

📌Is your Data & AI transformation struggling to really impact the business? Discover the game-changing StratOps approach that: Bridges the Gap : Connect your Data & AI strategy to your operating model, to ensure alignment at every level. Prioritizes Outcomes : Focuses on concrete business outcomes from day one, rather than capabilities in isolation.

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Why enterprises still struggle to implement AI organization-wide (and what you can do about it)

CIO Business Intelligence

As the enthusiasm around artificial intelligence (AI) reaches its peak, it has become clear that AI is no longer just a “nice-to-have” for enterprises. Now a game changer for its efficiency and productivity gains it offers businesses, it’s no wonder that nearly every enterprise has some form of AI in place. But maximizing their AI potential can be a sizable challenge.

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Unlocking near real-time analytics with petabytes of transaction data using Amazon Aurora Zero-ETL integration with Amazon Redshift and dbt Cloud

AWS Big Data

While customers can perform some basic analysis within their operational or transactional databases, many still need to build custom data pipelines that use batch or streaming jobs to extract, transform, and load (ETL) data into their data warehouse for more comprehensive analysis. Zero-ETL integration with Amazon Redshift reduces the need for custom pipelines, preserves resources for your transactional systems, and gives you access to powerful analytics.

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Skimpy: Alternative to Pandas describe() for Data Summarization

Analytics Vidhya

Data summarization is an essential first step in any data analysis workflow. While Pandas’ describe() function has been a go-to tool for many, its functionality is limited to numeric data and provides only basic statistics. Enter Skimpy, a Python library designed to offer detailed, visually appealing, and comprehensive data summaries for all column types.

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Impact of GenAI on the Software Testing Market

KDnuggets

Could AI replace traditional software testers? Learn how Generative AI transforms their roles and supercharges testing efficiency without missing critical tests.

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4 AI Hacks to Make Sales Teams More Efficient

Over the last two years, there’s been a 76 percent increase in AI adoption across sales organizations. The reason for its rise? AI increases teams’ productivity by predicting and automating actions that require manual effort. In other words, the research that takes reps hours, AI can do in seconds. For sales teams, AI opens up a world of new possibilities, including automating outreach, identifying best-fit buyers, and keeping CRMs flush with fresh data.

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How Du’s vision for sovereign cloud and AI will transform UAE’s digital governance

CIO Business Intelligence

Du, one of the largest telecommunications operators in the Middle East, is deploying Oracle Alloy to offer cloud and sovereign AI services to business, government, and public sector organizations in the UAE. By partnering with Oracle, Du is set to enhance sovereign cloud and AI capabilities for the government and public sector entities, specifically targeting Dubai and the Northern Emirates.

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Why Rehab Centers Need Data Analytics for SEO

Smart Data Collective

Data analytics can help rehab providers improve their local SEO significantly, which will boost their bottom lines.

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Guide to Build a Math Problem Solver Chat App with LangChain

Analytics Vidhya

Ever wished you had a personal tutor to help you solve tricky math problems? In this article, we’ll explore how to build a math problem solver chat app using LangChain, Gemma 9b, Llama 3.2 Vision and Streamlit. Our app will not only understand and solve text-based math problems but also able to solve image-based questions. […] The post Guide to Build a Math Problem Solver Chat App with LangChain appeared first on Analytics Vidhya.

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Build a Data Science App with Python in 10 Easy Steps

KDnuggets

Learn how to build a data science app with Python, using Scikit-Learn and FastAPI, one step at a time.

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The Cloud Development Environment Adoption Report

Cloud Development Environments (CDEs) are changing how software teams work by moving development to the cloud. Our Cloud Development Environment Adoption Report gathers insights from 223 developers and business leaders, uncovering key trends in CDE adoption. With 66% of large organizations already using CDEs, these platforms are quickly becoming essential to modern development practices.

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4 prerequisites for IT leaders to navigate today’s era of disruption

CIO Business Intelligence

For its Generative AI Readiness Report, IT services company Avanade surveyed over 3,000 business and IT executives in 10 countries from companies with at least $500 million in annual revenue. Unsurprisingly, more than 90% of respondents said their organization needs to shift to an AI-first operating model by the end of this year to stay competitive — and time to do so is running out.

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Data Insights Assure Quality Data and Confident Decisions!

Smarten

Why is Data Insight So Important? Every business (large or small) creates and depends upon data. One hundred years ago, businesses looked to leaders and experts to strategize and to create operational goals. Decisions were based on opinion, guesswork and a complicated mixture of notes and records reflecting historical results that might or might not be relevant to the future.

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I Tried AISuite by AndrewNg, and It is GREAT!

Analytics Vidhya

Andrew Ng recently released AISuite, an open-source Python package designed to streamline the use of large language models (LLMs) across multiple providers. This innovative tool simplifies the complexities of working with diverse LLMs by allowing seamless switching between models with a simple “provider:model” string. By significantly reducing integration overhead, AISuite enhances flexibility and accelerates application […] The post I Tried AISuite by AndrewNg, and It is GREAT

IT 169
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Effectively Using Cursor for 10x Coding

KDnuggets

Learn how to utilize this advanced AI-driven IDE for your work.

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Marketing Operations in 2025: A New Framework for Success

Speaker: Mike Rizzo, Founder & CEO, MarketingOps.com and Darrell Alfonso, Director of Marketing Strategy and Operations, Indeed.com

Though rarely in the spotlight, marketing operations are the backbone of the efficiency, scalability, and alignment that define top-performing marketing teams. In this exclusive webinar led by industry visionaries Mike Rizzo and Darrell Alfonso, we’re giving marketing operations the recognition they deserve! We will dive into the 7 P Model —a powerful framework designed to assess and optimize your marketing operations function.