Sat.May 04, 2024 - Fri.May 10, 2024

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The Five Use Cases in Data Observability: Overview

DataKitchen

Harnessing Data Observability Across Five Key Use Cases The ability to monitor, validate, and ensure data accuracy across its lifecycle is not just a luxury—it’s a necessity. Data observability extends beyond simple anomaly checking, offering deep insights into data health, dependencies, and the performance of data-intensive applications. This blog post introduces five critical use cases for data observability, each pivotal in maintaining the integrity and usability of data throughout its journe

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Data Prep for AI: Get Your Oracle House in Order

Jet Global

Despite the transformative potential of AI, a large number of finance teams are hesitating, waiting for this emerging technology to mature before investing. According to a recent Gartner report, a staggering 61% of finance organizations haven’t yet adopted AI. Finance has always been considered risk averse, so it is perhaps unsurprising to see that AI adoption in finance significantly lags other departments.

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Data Products and Self-Service: Empowering Innovation in Enterprise Data Management

Data Virtualization

Reading Time: 2 minutes In this era of rapidly evolving data capabilities, organizations are ever more aware of the immense value locked inside their data assets. The movement toward thinking in terms of data products and methodologies like data mesh marks a significant shift. The post Data Products and Self-Service: Empowering Innovation in Enterprise Data Management appeared first on Data Management Blog - Data Integration and Modern Data Management Articles, Analysis and Information.

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Use Smart Data Visualization to Improve Decisions!

Smarten

Smart Data Visualization and Personalized Dashboards Improve Data Insight and Team Collaboration! Augmented Analytics was designed to remove the barriers erected by the traditional business intelligence and analytics solutions. In order to achieve data democratization and improve data literacy among team members within an enterprise, the organization must provide simple, easy-to-understand solutions that display analytical results in a way that is meaningful and intuitive.

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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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Business questions to ask before taking a startup data role

Data Science and Beyond

Fourteen questions that prospective employees should ask about a startup’s business model and product, especially for data-focused roles.

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Building Self-Service Analytics in the Age of AI

Dataiku

Right now for many organizations, self-service analytics is a wasted opportunity. At one time, the idea of self-service analytics was attractive and people believed in its potential. But, somewhere over time, companies went off track. The promise and value exchange between data creators in the center and data self-servers out in the business was never actually fully negotiated (or fulfilled, for that matter).

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A Roadmap to Machine Learning Algorithm Selection

KDnuggets

The goal of this article is to help demystify the process of selecting the proper machine learning algorithm, concentrating on "traditional" algorithms and offering some guidelines for choosing the best one for your application.

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Strong CIO-CISO relations fuel success at Ally

CIO Business Intelligence

Technology has enabled Ally Financial to move at the speed of customers, embrace and drive disruptions, and see around corners to anticipate and stay ahead of trends. Helping lead the continual evolution of the nation’s largest all-digital bank are two award-winning technology executives: Sathish Muthukrishnan, Ally’s chief information, data, and digital officer, and Donna Hart, the company’s CISO.

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Footprints of AI: Read This Before Working on Massive AI Models

Analytics Vidhya

Introduction AI has shaken up the world with GenAI, self-learning robots, and whatnot! But with the boon, bane comes complementary…the AI strides, its power vast and its potential great, yet within its circuits lie shadows of concern. You might have heard about the world’s first humanoid robot, Sophia, who answered affirmatively to destroy humanity in […] The post Footprints of AI: Read This Before Working on Massive AI Models appeared first on Analytics Vidhya.

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DataKitchen Training And Certification Offerings

DataKitchen

DataKitchen Training And Certification Offerings For Individual contributors with a background in Data Analytics/Science/Engineering Overall Ideas and Principles of DataOps DataOps Cookbook (200 page book over 30,000 readers, free): DataOps Certificatio n (3 hours, online, free, signup online): DataOps Manifesto (over 30,000 signatures) One Day DataOps training (paid) Data Observability (the first step in DataOps) I deas and Principles of Data Observability Four-part Da

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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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Free AI Courses from NVIDIA: For All Levels

KDnuggets

Want to build cool AI applications? Start learning AI today with these free courses from NVIDIA.

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Essential skills and traits of chief AI officers

CIO Business Intelligence

The rapid rise of artificial intelligence — especially generative AI — is prompting many organizations to hire or promote a chief AI officer (CAIO). To date, many of these positions are with technology vendors or at government entities in the wake of recent AI mandates. But the ranks of the CAIO are expected to increase at enterprise organizations as well in the coming years.

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15+ Github Machine Learning Repositories for Data Scientists

Analytics Vidhya

Introduction If I had to pick one platform that has single-handedly kept me up-to-date with the latest developments in data science and machine learning – it would be GitHub. The sheer scale of GitHub, combined with the power of super data scientists from all over the globe, make it a must-use platform for anyone interested […] The post 15+ Github Machine Learning Repositories for Data Scientists appeared first on Analytics Vidhya.

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The Five Use Cases in Data Observability: Effective Data Anomaly Monitoring

DataKitchen

The Five Use Cases in Data Observability: Effective Data Anomaly Monitoring (#2) Introduction Ensuring the accuracy and timeliness of data ingestion is a cornerstone for maintaining the integrity of data systems. Data ingestion monitoring, a critical aspect of Data Observability, plays a pivotal role by providing continuous updates and ensuring high-quality data feeds into your systems.

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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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Using Groq Llama 3 70B Locally: Step by Step Guide

KDnuggets

Learn how to generate super fast responses in Jan AI and VSCode using Groq LPU Inference Engine.

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Red Hat seeks to shrink IT skills gap with Lightspeed gen AI

CIO Business Intelligence

For IT leaders experiencing skills gaps in the data center and cloud, Red Hat believes it may have an answer. At Red Hat Summit 2024 in Denver today, the company announced plans to extend its Red Hat Lightspeed generative AI capabilities across all its platforms, including Red Hat OpenShift and Red Hat Enterprise Linux (RHEL). By infusing gen AI functionality across its portfolio, Red Hat aims to reduce the complexity of enterprise IT and help platform engineers and developers be more accurate a

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How to Learn Python? [Step-by Step Guide]

Analytics Vidhya

Introduction Acquiring knowledge Python provides a variety of options for programmers, regardless of skill level. It is rewarding and pleasant with its simple syntax and large library ecosystem. You can make a lot of different kinds of applications with Python, from simple python code to difficult software packages. This guide provides resources, pointers, and guidance […] The post How to Learn Python?

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The Five Use Cases in Data Observability: Ensuring Data Quality in New Data Source

DataKitchen

The Five Use Cases in Data Observability: Ensuring Data Quality in New Data Sources (#1) Introduction to Data Evaluation in Data Observability Ensuring their quality and integrity before incorporating new data sources into production is paramount. Data evaluation serves as a safeguard, ensuring that only cleansed and reliable data makes its way into your systems, thus maintaining the overall health of your data ecosystem.

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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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Ollama Tutorial: Running LLMs Locally Made Super Simple

KDnuggets

Want to run large language models on your machine? Learn how to do so using Ollama in this quick tutorial.

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CDOs’ biggest problem? Getting colleagues to understand their role

CIO Business Intelligence

Chief data officers have a lot to think about these days. Chief among them, they must ensure responsible, compliant use of their organizations’ data in the face of increasingly complex regulatory environments across the globe. Now, CDOs find themselves under additional pressure to make sure organizational data is accurate and complete, as companies launch AI projects hungry for clean and easy-to-access data.

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Google DeepMind’s New AI Model Can Create Life!

Analytics Vidhya

Google DeepMind has just unveiled AlphaFold 3, a revolutionary AI model redefining biomolecular modeling. Unlike its predecessors, AlphaFold 3 extends its modeling skills beyond proteins. This new model is capable of generating DNA, RNA, and smaller molecules known as ligands. Its breakthrough technology promises to accelerate advancements across various scientific disciplines.

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The Five Use Cases in Data Observability: Mastering Data Production

DataKitchen

The Five Use Cases in Data Observability: Mastering Data Production (#3) Introduction Managing the production phase of data analytics is a daunting challenge. Overseeing multi-tool, multi-dataset, and multi-hop data processes ensures high-quality outputs. This blog explores the third of five critical use cases for Data Observability and Quality Validation—data Production—highlighting how DataKitchen’s Open-Source Data Observability solutions empower organizations to manage this critical s

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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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5 Steps to Learn AI for Free in 2024

KDnuggets

Master AI with these free courses from Harvard, Google, AWS, and more.

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6 cloud market forces impacting IT strategies today

CIO Business Intelligence

The cloud services landscape is in constant flux. With the cloud being an inevitable part of enterprise digital transformation journeys, IT leaders must keep on top of the latest developments in the cloud market to better predict downstream impacts on their roadmaps. Here is a closer look at recent and forecasted developments in the cloud market that CIOs should be aware of. 2023: Greater flexibility, challenging decisions In 2023, the cloud services space — including hosting and managed and mig

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12 AI Courses Per Your Current Requirement and Experience in 2024

Analytics Vidhya

Introduction Do you feel overwhelmed after seeing a lot of AI courses online and wonder where to begin? Then, you are not alone. I have curated a list of courses for you. Just pick one per your requirement and start. Artificial intelligence is advancing unprecedentedly, and staying ahead of the curve has become crucial for […] The post 12 AI Courses Per Your Current Requirement and Experience in 2024 appeared first on Analytics Vidhya.

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The Five Use Cases in Data Observability: Fast, Safe Development and Deployment

DataKitchen

The Five Use Cases in Data Observability: Fast, Safe Development and Deployment (#4) Introduction The integrity and functionality of new code, tools, and configurations during the development and deployment stages are crucial. This blog post delves into the third critical use case for Data Observation and Data Quality Validation: development and Deployment.

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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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A Comprehensive Guide to Essential Tools for Data Analysts

KDnuggets

Data analyst tools encompass programming languages, spreadsheets, BI, and big data tools. Here are 9ish tools that cover all the tasks of data analysts well.

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10 IT skills where expertise pays the most

CIO Business Intelligence

The list of highest-paying IT skills is always shifting as technology evolves, but some skills have consistently maintained earning power for IT pros over the years. And while several factors impact one’s salary, such as tenure, experience, and location, expert-level competency comes at a higher premium for some skills versus others. Data from the Dice 2024 Tech Salary Report shows that, for certain IT skills, organizations are willing to pay more to hire experts than IT pros with strong compe

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Stability AI Launches Stable Artisan with New Image Generation and Editing Tools

Analytics Vidhya

Stability AI has unveiled Stable Artisan, a new addition to its Discord channel, enabling seamless media generation and editing. This innovative Discord bot integrates cutting-edge AI models, empowering users to craft high-quality images and videos effortlessly. Let’s delve into the game-changing features and functionalities of Stable Artisan.

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The Five Use Cases in Data Observability: Ensuring Accuracy in Data Migration

DataKitchen

The post The Five Use Cases in Data Observability: Ensuring Accuracy in Data Migration first appeared on DataKitchen.

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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.