Sat.Jan 13, 2024 - Fri.Jan 19, 2024

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The Evolution of Data Validation in the Big Data Era

TDAN

The advent of big data has transformed the data management landscape, presenting unprecedented opportunities and formidable challenges: colossal volumes of data, diverse formats, and high velocities of data influx. To ensure the integrity and reliability of information, organizations rely on data validation. Origins of Data Validation Traditionally, data validation primarily focused on structured data sets.

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How to Shop for Data?

Data Virtualization

Reading Time: 3 minutes Today, the most innovative and successful organizations leverage data to increase revenue, minimize expenses, and deliver products and services that meet the needs of their customers. To be truly “data-driven,” an organization must view data as more than a byproduct. The post How to Shop for Data? appeared first on Data Management Blog - Data Integration and Modern Data Management Articles, Analysis and Information.

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Unlocking value: Top digital transformation trends

IBM Big Data Hub

While digital transformation has been a trend for some years, emerging technologies have made this movement even more important. Companies are rethinking their business models to become more digital and competitive. They face an ever-increasing cadre of startups and established organizations, all of whom are also trying to keep up to date on digital transformation trends to achieve a competitive edge.

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The Evidence Act Brings Opportunity for Data Governance

TDAN

Five years ago, the most comprehensive data governance law was passed in the U.S. On January 14, 2019, the “Foundations for Evidence-Based Policymaking Act of 2018,” also known as the “Evidence Act,” was passed into law. The Evidence Act requires U.S.

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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have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth.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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3 ways AI is set to disrupt the C-suite

CIO Business Intelligence

No one questions the tremendous impact generative artificial intelligence (gen AI) platforms and tools will have on the future of work. The impending disruption is obvious even before the effects materialize. The question IT and business leaders must ask is, How do we leverage this sea change rather than drown in it? Half of CEOs say their organization is at least somewhat unprepared for AI and machine learning (ML) adoption, according to Workday’s C-Suite Global AI Indicator Report.

Finance 126
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I Actually Chatted with ChatGPT

O'Reilly on Data

ChatGPT was released just over a year ago (at the end of November 2022), and countless people have already written about their experiences using it in all sorts of settings. (I even contributed my own hot take last year with my O’Reilly Radar article Real-Real-World Programming with ChatGPT.) What more is left to say by now? Well, I bet very few of those people have actually chatted with ChatGPT.

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Breaking Down Quantum Computing: Implications for Data Science and AI

KDnuggets

This article has explored the impact of quantum computing on data science and AI. We will look at the fundamental concepts of quantum computing and the key terms that are used in the field. We will also cover the challenges that lie ahead for quantum computing and how they can be overcome.

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LVMH's Data Revolution: Pioneering AI at Scale in the World of Luxury

Dataiku

This blog post is a translated adaptation of LeMagIt’s article, “ Comment LVMH déploie l’IA à l’échelle.” In the fast-evolving landscape of luxury retail, staying ahead means not just embracing innovation but also orchestrating it across diverse brands and sectors. LVMH, the iconic French luxury group, has emerged as a trailblazer by strategically deploying artificial intelligence (AI) on an unprecedented scale.

IT 111
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6 Reasons Why a Universal Semantic Layer is Beneficial to Your Data Stack

KDnuggets

Looking to understand the universal semantic layer and how it can improve your data stack? This GigaOm Sonor report on Semantic Layers can help you delve deeper.

Reporting 143
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apt-get Command in Linux: Understanding with Examples

Analytics Vidhya

Introduction The apt-get command is a powerful tool in Linux that allows users to manage software packages. Whether you want to install, update, remove, or search for packages, apt-get provides a simple and efficient way to handle these tasks. In this article, we will explore the various functionalities of apt-get and provide examples to help […] The post apt-get Command in Linux: Understanding with Examples appeared first on Analytics Vidhya.

Software 349
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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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NASA accelerates science with gen AI-powered search

CIO Business Intelligence

When you generate and collect as much data as the US National Aeronautics and Space Administration (NASA) does, finding just the right data set for a research project can be a problem. With seven operating centers, nine research facilities, and more than 18,000 staff, the agency continually generates an overwhelming amount of data, which it stores in more than 30 science data repositories across five topical areas — astrophysics, heliophysics, biological science, physical science, earth science,

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The AI Playbook: Providing Important Reminders to Data Professionals

TDAN

Eric Siegel’s “The AI Playbook” serves as a crucial guide, offering important insights for data professionals and their internal customers on effectively leveraging AI within business operations.

Metrics 122
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5 Free University Courses to Learn Data Science

KDnuggets

Looking to make a career in data science? Here are five free university courses to help you get started.

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Going Beyond the Basics of RAG Pipelines: How Txtai Can Help?

Analytics Vidhya

Introduction Effective retrieval methods are paramount in an era where data is the new gold. This article introduces an innovative data extraction and processing approach. Dive into the world of txtai and Retrieval Augmented Generation (RAG), where complex data becomes easily navigable and insightful. By the end of this article, you will know how the fusion of txtai […] The post Going Beyond the Basics of RAG Pipelines: How Txtai Can Help?

Analytics 337
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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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CIOs confront generative AI’s workplace X factor

CIO Business Intelligence

In the rush to establish technical strategies for making good on the promise of generative AI, many CIOs find themselves running headlong into what may be their most challenging task yet: preparing their organization’s end-users — from knowledge workers and assembly line laborers to doctors, accountants, and lawyers — to co-exist with generative AI.

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Power neural search with AI/ML connectors in Amazon OpenSearch Service

AWS Big Data

With the launch of the neural search feature for Amazon OpenSearch Service in OpenSearch 2.9, it’s now effortless to integrate with AI/ML models to power semantic search and other use cases. OpenSearch Service has supported both lexical and vector search since the introduction of its k-nearest neighbor (k-NN) feature in 2020; however, configuring semantic search required building a framework to integrate machine learning (ML) models to ingest and search.

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Read This Before Making a Career Switch to Data Science

KDnuggets

From Skill Assessment to Networking: Your Roadmap to Thriving in the World of Data Science.

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Capgemini and AWS Strengthen Ties for Widespread Generative AI Adoption

Analytics Vidhya

Capgemini and Amazon Web Services (AWS) have extended their strategic collaboration, accelerating the adoption of generative AI solutions across organizations. The multi-year agreement focuses on helping clients move beyond experimental stages to full-scale generative AI implementations. They intend to provide smooth transitions addressing challenges such as cost, scale, and trust.

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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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12 data science certifications that will pay off

CIO Business Intelligence

Data scientist is one of the hottest jobs in IT. Companies are increasingly eager to hire data professionals who can make sense of the wide array of data the business collects. If you’re looking to get into this lucrative field, or want to stand out from the competition, certification can be key. The US Bureau of Labor Statistics (BLS) forecasts employment of data scientists will grow 35% from 2022 to 2032, with about 17,000 openings projected on average each year.

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Enforce fine-grained access control on Open Table Formats via Amazon EMR integrated with AWS Lake Formation

AWS Big Data

With Amazon EMR 6.15, we launched AWS Lake Formation based fine-grained access controls (FGAC) on Open Table Formats (OTFs), including Apache Hudi, Apache Iceberg, and Delta lake. This allows you to simplify security and governance over transactional data lakes by providing access controls at table-, column-, and row-level permissions with your Apache Spark jobs.

Data Lake 115
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5 Ways of Converting Unstructured Data into Structured Insights with LLMs

KDnuggets

From Chaos to Clarity: Understanding the Unstructured Data Dilemma.

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Insights on AI from Sam Altman, Satya Nadella and Yann LeCun at WEF 2024

Analytics Vidhya

The World Economic Forum (WEF), known for bringing together the world’s elite, held its annual meeting on January 15th. Some of the most influential figures in technology and business were a part of this event. This year’s gathering saw AI leaders like Sam Altman, Satya Nadella, and Yann LeCun converging to discuss the profound impact […] The post Insights on AI from Sam Altman, Satya Nadella and Yann LeCun at WEF 2024 appeared first on Analytics Vidhya.

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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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What it takes to land a CIO gig in 2024

CIO Business Intelligence

By all accounts, 2024 will be a good year on the CIO hiring front. Global spending on technology is predicted to be up by virtually all forecasts. Most midsize and large organizations are spending significantly on cloud capabilities. Cybersecurity has been pegged as a top priority for funding in many industries. And nearly every company seems poised to adopt artificial intelligence in some fashion.

IT 126
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Disaster recovery strategies for Amazon MWAA – Part 1

AWS Big Data

In the dynamic world of cloud computing, ensuring the resilience and availability of critical applications is paramount. Disaster recovery (DR) is the process by which an organization anticipates and addresses technology-related disasters. For organizations implementing critical workload orchestration using Amazon Managed Workflows for Apache Airflow (Amazon MWAA), it is crucial to have a DR plan in place to ensure business continuity.

Strategy 111
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Enroll in a Data Science Undergraduate Program For Free

KDnuggets

Path to a Free Self-Taught Education in Data Science for Everyone.

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30+ Big Data Interview Questions

Analytics Vidhya

Introduction In the realm of Big Data, professionals are expected to navigate complex landscapes involving vast datasets, distributed systems, and specialized tools. To assess a candidate’s proficiency in this dynamic field, the following set of advanced interview questions delves into intricate topics ranging from schema design and data governance to the utilization of specific technologies […] The post 30+ Big Data Interview Questions appeared first on Analytics Vidhya.

Big Data 333
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Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

Speaker: Jay Allardyce, Deepak Vittal, Terrence Sheflin, and Mahyar Ghasemali

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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How software can digitally transform child adoption

CIO Business Intelligence

Each new iteration of technology development creates renewed hope to be a vehicle for good and empower those in need. But it’s not the technology type that enables such work but its application. Scottsdale-based charity Both Ends Believing (BEB) is just such an example. Through the right intentions and business technology leadership, BEB has placed 3,133 orphans with families since it began in 2010.

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Monitoring Cloudera DataFlow Deployments With Prometheus and Grafana

Cloudera

Cloudera DataFlow for the Public Cloud (CDF-PC) is a complete self-service streaming data capture and movement platform based on Apache NiFi. It allows developers to interactively design data flows in a drag and drop designer, which can be deployed as continuously running, auto-scaling flow deployments or event-driven serverless functions. CDF-PC comes with a monitoring dashboard out of the box for data flow health and performance monitoring.

Metrics 109
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SQL Group By and Partition By Scenarios: When and How to Combine Data in Data Science

KDnuggets

Learn the generic scenarios and techniques of grouping and aggregating data, partitioning and ranking data in SQL, which will be very helpful in reporting requirements.

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Vodafone and Microsoft Forge $1.5 Billion Decade-Long AI and IoT Partnership

Analytics Vidhya

In a recent collaboration, Vodafone and Microsoft have announced a transformative 10-year strategic partnership, poised to reshape the digital landscape for over 300 million businesses, public sector organizations, and consumers across Europe and Africa. The $1.5 billion investment will drive advancements in artificial intelligence (AI), digital payments, and the Internet of Things (IoT).

IoT 332
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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.