Sat.Jul 06, 2024 - Fri.Jul 12, 2024

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Programming, Fluency, and AI

O'Reilly on Data

It’s clear that generative AI is already being used by a majority—a large majority—of programmers. That’s good. Even if the productivity gains are smaller than many think, 15% to 20% is significant. Making it easier to learn programming and begin a productive career is nothing to complain about, either. We were all impressed when Simon Willison asked ChatGPT to help him learn Rust.

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Generative AI and preparing for a shift to skills-based hiring

CIO Business Intelligence

As gen AI takes hold in the workplace, it’ll no doubt alter workflows, role requirements, and the skills necessary to get work done. The concern isn’t so much whether AI will replace jobs, but what skillsets the technology will replace, and how organizations and leaders can shift human priorities accordingly. “AI is both a major disruptor and savior, in that gen AI specifically will influence 4.5 times the number of jobs it replaces and, yet, also has the capability to help manage and upskill th

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How Can CIOs Bridge the Gap Between Modern Analytics Aspirations and Reality?

Dataiku

In a just-released survey from Dataiku and Cognizant of 200 senior analytics and IT leaders, only 20% of respondents are currently using Generative AI and LLMs in production. So, what is driving the disconnect among these leaders, such as CIOs, between ambitions and actual capabilities? With Generative AI’s honeymoon stage in the rearview, how can these stakeholders effectively conquer the roadblocks en route from pilot to scale — all while navigating regulatory concerns, data infrastructure iss

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Comprehensive Guide to Build AI Agents from Scratch

Analytics Vidhya

Introduction This article introduces the ReAct pattern for improved capabilities and demonstrates how to create AI agents from scratch. It covers testing, debugging, and optimizing AI agents in addition to tools, libraries, environment setup, and implementation. This tutorial gives users the skills they need to create effective AI agents, regardless of whether they are developers […] The post Comprehensive Guide to Build AI Agents from Scratch appeared first on Analytics Vidhya.

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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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Podcast: Data Hurdles Poscast

DataKitchen

Christopher Bergh, CEO of DataKitchen, is transforming data analytics with his DataOps approach. By applying principles from agile and lean manufacturing, Bergh aims to eliminate the 70-80% waste in data processes. DataKitchen's suite of open-source tools offers solutions for observability, testing, and automation, addresses challenges in rapid change management, error detection team productivity.

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AI Creates Growing Need for Managed IT Services

Smart Data Collective

Managed IT services can be very helpful for companies trying to make the most of their AI strategies in 2024.

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3 Approaches to Business Intelligence as a Service

ScienceSoft

To show business intelligence as a service from different angles, we consider 3 approaches: when it relies on internal data, on external data, and when a hybrid approach is used.

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Apache Cassandra vs. Hadoop Distributed File System: When Each is Better

ScienceSoft

Our big data consultants compare Apache Cassandra against Hadoop Distributed File System and describe their key functional differences. Find out which of the two is a better choice for your project and which one shows better performance.

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Combining the Flexibility of Knowledge Graphs with the Power of Semantic Tagging: The Enterprise PowerPack

Ontotext

Graph technologies are essential for managing and enriching data and content in modern enterprises. But to develop a robust data and content infrastructure, it’s important to partner with the right vendors. A great partner ecosystem is the key to covering the requirements of end-to-end solutions and rolling out knowledge graphs at scale. The collaboration between Semantic Web Company (SWC) and Ontotext has deepened over the years and by complementing our strengths, we deliver greater value for o

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9 Free AI Courses from Stanford

Analytics Vidhya

Introduction Artificial Intelligence (AI) is transforming industries and creating new possibilities in various fields. Stanford University, renowned for its contributions to AI research, offers several free courses that can help you get started or advance your knowledge in this exciting domain. Whether you’re a beginner or an experienced professional, these courses provide valuable insights into […] The post 9 Free AI Courses from Stanford appeared first on Analytics Vidhya.

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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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Anatomía de un ciberataque: un relato en primera persona

CIO Business Intelligence

“Aunque sucedió hace dos años y medio, todavía me genera ansiedad y desasosiego recordarlo”. Con estas palabras, Gonçal Badenes, CIO de la Universidad Autónoma de Barcelona (UAB), relata en primera persona cómo vivió en sus propias carnes el ciberataque de ransomware que el grupo cibercriminal PYSA perpetró en 2021 contra la institución pública educativa.

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Tools Every Data Scientist Should Know: A Practical Guide

KDnuggets

Discover the essential tools every data scientist should know to elevate their data science game, from Python and R to SQL and advanced visualization tools.

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How EchoStar ingests terabytes of data daily across its 5G Open RAN network in near real-time using Amazon Redshift Serverless Streaming Ingestion

AWS Big Data

This post was co-written with Balaram Mathukumilli, Viswanatha Vellaboyana and Keerthi Kambam from DISH Wireless , a wholly owned subsidiary of EchoStar. EchoStar , a connectivity company providing television entertainment, wireless communications, and award-winning technology to residential and business customers throughout the US, deployed the first standalone, cloud-native Open RAN 5G network on AWS public cloud.

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Behind the Screen: How Netflix Uses Data Science?

Analytics Vidhya

Introduction Just binge-watched that K-drama over the weekend, and now your Netflix recommendations turn into an eerily perfect lineup of similar shows? That’s no coincidence. Netflix employs sophisticated data strategies to ensure it’s tough to hit the stop button once you start watching, or you can say Netflix uses Data Science. Yep, your weekend binge […] The post Behind the Screen: How Netflix Uses Data Science?

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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.

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Seek solutions now to remedy surging cloud costs

CIO Business Intelligence

The complexity within IT infrastructures is increasing, as is the pressure on IT budgets to use available funds as smartly and efficiently as possible. Effective cost management in the cloud is, therefore, becoming increasingly important. Yet many companies still find it difficult to keep an eye on the costs of their cloud deployment and to continuously optimize them.

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Top 8 GenAI Courses for AWS to Take Now

KDnuggets

This article is for anyone looking to maximize their use of Amazon Web Services (AWS) generative AI (GenAI) services. Here are eight courses that range from beginner to expert level.

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Introducing Cloudera Observability Premium

Cloudera

There’s nothing worse than wasting money on unnecessary costs. In on-premises data estates, these costs appear as wasted person-hours waiting for inefficient analytics to complete, or troubleshooting jobs that have failed to execute as expected, or at all. They manifest as idle hardware waiting for urgent workloads to come in, ensuring sufficient spare capacity to run them amidst noisy neighbors and resource-hungry, lower-priority workloads.

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Top 10 Platforms to Practice Data Science Skills

Analytics Vidhya

Introduction Data science is one of the professions in high demand nowadays due to the growing focus on analyzing big data. Hypothesis and conclusion-making from data broadly involve technical and non-technical skills in the interdisciplinary field of data science. To be relevant and competitive in this rapidly evolving area, at least specific fundamental data science […] The post Top 10 Platforms to Practice Data Science Skills appeared first on Analytics Vidhya.

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Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin

As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.

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Storage: The unsung hero of AI deployments

CIO Business Intelligence

As enterprises begin to deploy and use AI, many realize they’ll need access to massive computing power and fast networking capabilities, but storage needs may be overlooked. Spinning up a chatbot or adopting an AI assistant aren’t likely to tax most enterprises’ storage capacities, but large AI projects with access to millions of data points may require many terabytes of new storage, potentially costing tens of millions of dollars, some AI and storage experts say.

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10 GitHub Repositories to Master Data Science

KDnuggets

Learn data science through interactive courses, books, guides, code examples, projects, and free courses based on top university curricula. Also, access interview questions and best practices.

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Amazon Managed Service for Apache Flink now supports Apache Flink version 1.19

AWS Big Data

Apache Flink is an open source distributed processing engine, offering powerful programming interfaces for both stream and batch processing, with first-class support for stateful processing and event time semantics. Apache Flink supports multiple programming languages, Java, Python, Scala, SQL, and multiple APIs with different level of abstraction, which can be used interchangeably in the same application.

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What are the TCL Commands in SQL?

Analytics Vidhya

Introduction TCL (Transaction Control Language) commands are crucial in SQL overseeing changes enacted by DML (Data Manipulation Language) statements. These commands enable users and database administrators to manage transaction processes, maintaining data consistency and integrity. This article explores the main TCL commands, their functions, and their practical uses.

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The Ultimate Guide To Data-Driven Construction: Optimize Projects, Reduce Risks, & Boost Innovation

Speaker: Donna Laquidara-Carr, PhD, LEED AP, Industry Insights Research Director at Dodge Construction Network

In today’s construction market, owners, construction managers, and contractors must navigate increasing challenges, from cost management to project delays. Fortunately, digital tools now offer valuable insights to help mitigate these risks. However, the sheer volume of tools and the complexity of leveraging their data effectively can be daunting. That’s where data-driven construction comes in.

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El CIO Summit 2024 se mete de lleno en la era de la ‘IA en todas partes’

CIO Business Intelligence

Regístrate ahora En la era de la ‘inteligencia artificial (IA) en todas partes’ , ¿qué rol deben desempeñar los CIO en las organizaciones para aprovechar todas sus ventajas? Con dos tercios de las empresas proyectando que sus presupuestos de TI aumenten en los próximos años -según una encuesta de CIO de EMEA-, los líderes tecnológicos deberán preparar a sus compañías con las tecnologías habilitantes para obtener el máximo potencial de sus inversiones en IA.

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Chart Snapshot: Dot Plots & Unit Charts

The Data Visualisation Catalogue

A Dot Plot (also known as a Wilkinson Dot Plot) is a visualisation that uses dots to plot data points along a value scale. Unlike on a Cleveland Dot Plot , which only plots singular dots positioned along a value axis, Wilkinson Dot Plots plot multiple dots for each category, interval, or time point in the dataset. In other words, the number of dots plotted in this type of Dot Plot is proportional to the quantities or frequencies in the data.

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Improve your Amazon OpenSearch Service performance with OpenSearch Optimized Instances

AWS Big Data

Amazon OpenSearch Service introduced the OpenSearch Optimized Instances (OR1) , deliver price-performance improvement over existing instances. The newly introduced OR1 instances are ideally tailored for heavy indexing use cases like log analytics and observability workloads. OR1 instances use a local and a remote store. The local storage utilizes either Amazon Elastic Block Store (Amazon EBS) of type gp3 or io1 volumes , and the remote storage uses Amazon Simple Storage Service (Amazon S3).

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No Code Machine Learning for Non-CS Background

Analytics Vidhya

Introduction The recent decade has witnessed a massive surge in the application of Machine learning techniques. There is a continuous rise of application of machine learning techniques in nearly all domains, including research, education, environment, social science, businesses, service providers, production, manufacturing, supply chain, healthcare, biochemistry, biotechnology, and many more.

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Launching LLM-Based Products: From Concept to Cash in 90 Days

Speaker: Christophe Louvion, Chief Product & Technology Officer of NRC Health and Tony Karrer, CTO at Aggregage

Christophe Louvion, Chief Product & Technology Officer of NRC Health, is here to take us through how he guided his company's recent experience of getting from concept to launch and sales of products within 90 days. In this exclusive webinar, Christophe will cover key aspects of his journey, including: LLM Development & Quick Wins 🤖 Understand how LLMs differ from traditional software, identifying opportunities for rapid development and deployment.

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Ulta Beauty embraces low-code to deliver better CX

CIO Business Intelligence

About six years ago, Ulta Beauty formed a dedicated innovation team to identify technologies that resonate to improve the customer experience. As the VP of digital innovation, Michelle Pacynski heads up this team and oversees around 40 innovators whose job is to leverage new and emerging tech to come up with fresh and creative value propositions for the business.

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Advancing Healthcare With Dataiku and NVIDIA

Dataiku

Last month, in an insight-packed webinar , Kelci Miclaus, Global Head of Healthcare and Life Sciences AI Solutions at Dataiku, Shashank Gaur, Solution Engineer at Dataiku, and Brad Genereaux, Global Lead Healthcare Alliances at NVIDIA, shared and discussed the state of AI in healthcare and how NVIDIA AI services are helping organizations in unlocking digital health and medical imaging workflows, followed by demonstrations of seamlessly using NVIDIA AI services in Dataiku.

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How to Use the Hugging Face Tokenizers Library to Preprocess Text Data

KDnuggets

Text preprocessing is an important step in NLP. Let's learn how to use the Hugging Face Tokenizers Library to preprocess text data.

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Understanding Hit Rate, MRR, and MMR Metrics

Analytics Vidhya

Introduction Imagine you’re at a bookstore looking for the perfect book. You want recommendations that are not only on your favorite genre but also varied enough to introduce you to new authors. Retrieval-Augmented Generation systems work similarly by combining the strengths of finding relevant information and generating creative responses. To measure how well these systems […] The post Understanding Hit Rate, MRR, and MMR Metrics appeared first on Analytics Vidhya.

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Data Modeling for Direct Mail: Boosting Multi-Channel Reach and Response

Speaker: Jesse Simms, VP at Giant Partners

This new, thought-provoking webinar will explore how even incremental efforts and investments in your data can have a tremendous impact on your direct mail and multi-channel marketing campaign results! Industry expert Jesse Simms, VP at Giant Partners, will share real-life case studies and best practices from client direct mail and digital campaigns where data modeling strategies pinpointed audience members, increasing their propensity to respond – and buy.