Sat.Oct 22, 2022 - Fri.Oct 28, 2022

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“Stick Little Thermometers in your Data Journeys”

DataKitchen

. Question: What is something the data industry is missing? I think it’s observability-led DataOps. I’ve come to believe that we, as an industry, will not change how people build things they’ve already made. They’re already being Heroes and have pain, unhappiness, and poor results. The first step to enlightenment. The first step in solving that pain is to observe what’s happening with your data and analytics ‘estate’ and stick little thermometers at va

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End-to-end Guide Using Trader Joe: A Decentralized Application

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Decentralized services, such as swapping, farming, pooling, lending, borrowing, and many more, are offered by decentralized applications (dapps). Each decentralized application offers its own features. For example, you may use Aave for decentralized lending and borrowing, or maybe you may use QuickSwap for decentralized […].

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Easy Guide To Data Preprocessing In Python

KDnuggets

Preprocessing data for machine learning models is a core general skill for any Data Scientist or Machine Learning Engineer. Follow this guide using Pandas and Scikit-learn to improve your techniques and make sure your data leads to the best possible outcome.

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What transformational leaders too often overlook

CIO Business Intelligence

High-performing CIOs know that digital mastery depends on a strong foundation of rock-solid infrastructure, information security, enterprise data management, and sound IT governance. But for all the emphasis on cutting-edge technology for business transformation, IT infrastructure too often gets short shrift. Infrastructure, what happens behind the IT screen, and related support activities remains poorly understood, underappreciated, and mismanaged in 89% of enterprises today, according to a rec

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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have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth.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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How To Keep Your Data Security Knowledge Up To Date?

Smart Data Collective

The fast-paced world of cybersecurity waits for none, and even seasoned professionals can find that years have passed them by if they take a short hiatus and stop staying up to date. Given the nature of this sector, it’s often compared with statecraft, with the constantly evolving threat matrix making it essential to stay on top of developments, and regularly upskill in order to better respond to challenges.

Risk 134
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Non-Generalization and Generalization of Machine learning Models

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction The generalization of machine learning models is the ability of a model to classify or forecast new data. When we train a model on a dataset, and the model is provided with new data absent from the trained set, it may perform […]. The post Non-Generalization and Generalization of Machine learning Models appeared first on Analytics Vidhya.

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5 top ERP trends for 2022 — and their implications for IT leaders

CIO Business Intelligence

It wouldn’t be far-fetched to call ERP (enterprise resource planning) the brain of an organization’s IT infrastructure. After all, an ERP system streamlines, standardizes, and integrates a wide range of vital business processes across diverse business functions. Implementing an ERP solution ranks among the most capex-intensive projects any IT leader will undertake.

IT 145
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Two Ways AI-Driven Smart Technologies Are Helping the Libraries

Smart Data Collective

Artificial intelligence has helped many commercial businesses improve their operations. However, many public entities are also leveraging AI technology to serve the public more efficiently. Even many libraries have started taking advantage of AI technology. We talked about the opportunities to use big data for library marketing , but there are other advantages as well.

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Analysis of Restaurants in the United States

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction After working for a long time in the office, suddenly, we felt a storm brewing in our stomach, saying Hey! I need food. Then you just come out on the road and start searching for a nearby restaurant – it can be […]. The post Analysis of Restaurants in the United States appeared first on Analytics Vidhya.

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Top 10 MLOps Tools to Optimize & Manage Machine Learning Lifecycle

KDnuggets

As more businesses experiment with data, they realize that developing a machine learning (ML) model is only one of many steps in the ML lifecycle.

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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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The data flywheel: A better way to think about your data strategy

CIO Business Intelligence

This article was co-authored by Duke Dyksterhouse , an Associate at Metis Strategy. Data & Analytics is delivering on its promise. Every day, it helps countless organizations do everything from measure their ESG impact to create new streams of revenue, and consequently, companies without strong data cultures or concrete plans to build one are feeling the pressure.

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DataKitchen DataOps Observability Technical Product Overview

DataKitchen

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MLOps In Educational Data Mining

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Similar to other fields like healthcare, education is an area that is being penetrated by technology and data science. Many fields have evolved, such as Educational Data Mining EDM, which is a field dedicated to finding actionable insights from educational settings. It […].

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TF-IDF Defined

KDnuggets

Check out this breakdown of TF-IDF by defining its constituent parts.

IT 151
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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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7 ways to ruin you IT leadership reputation

CIO Business Intelligence

Respect is an asset every CIO seeks. Achieving a reputation for knowledge, reliability, and honesty takes time, as well as a strong personal commitment to embracing professional standards. Yet a single false move, made in haste or by a momentary lack of judgment, can leave a hard-earned reputation in ashes. The IT leader’s role has changed dramatically over the past several years.

IT 141
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DataOps Observability: Taming the Chaos (Part 2)

DataKitchen

Part 2: Introducing Data Journeys. This is the second post in DataKitchen’s four-part series on DataOps Observability. Observability is a methodology for providing visibility of every journey that data takes from source to customer value across every tool, environment, data store, team, and customer so that problems are detected and addressed immediately.

Testing 130
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Data Lake or Data Warehouse- Which is Better?

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Data is defined as information that has been organized in a meaningful way. We can use it to represent facts, figures, and other information that we can use to make decisions. Data collection is critical for businesses to make informed decisions, understand customers’ […].

Data Lake 373
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Graphs: The natural way to understand data

KDnuggets

Graph Algorithms for Data Science is a hands-on guide to working with graph-based data in applications like machine learning, fraud detection, and business data analysis. Filled with fascinating and fun projects, demonstrating the ins-and-outs of graphs.

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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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Leadership playbook: Michelle McKenna’s winning formula for CIOs

CIO Business Intelligence

A transformer, teambuilder, and trailblazer, Michelle McKenna founded her executive advisory firm, The Michelle McKenna Collaborative, after spending 10 seasons as the National Football League’s first-ever CIO and its first female C-level executive. Those are just two of the many “firsts” McKenna has accomplished over the course of her career, which has also included executive leadership roles at Disney and Universal Orlando Resort.

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Stop Using Tiny, Grainy Photos in PowerPoint!!!

Depict Data Studio

It’s not 1995. Last week, I was leading a post-conference workshop with CQI professionals in California. You can learn more about their annual conferences here. An attendee asked about best practices for adding photographs to our PowerPoint presentations. Before. Let’s pretend that you’re giving a presentation about young children and physical fitness.

Modeling 111
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Making Centroid Tracker and Counter System in Python

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction In this article, we will learn how to make an object tracker using OpenCV in Python and using, and we will build an object tracker and make a counter system. A tracker keeps track of moving objects in the frame; In OpenCV, […]. The post Making Centroid Tracker and Counter System in Python appeared first on Analytics Vidhya.

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The Current State of Data Science Careers

KDnuggets

If you’re someone in data science or aiming to get into a data science career, this article will give you a comprehensive analysis of the state of the field.

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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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Episode 3: The Data Imperative for Financial Services

CIO Business Intelligence

The move to digital business has wrought profound changes in certain industries, and financial services is one of them. Not only are traditional financial services companies using data and technology to change the game, a plethora of “FinTech” startups are using digital products to dislodge traditional players. This podcast features Peter Ku. Vice President, Chief Industry Strategist for financial services for Informatica.

Insurance 119
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The 7 Stages of MLOps Maturity | Domino Data Lab

Domino Data Lab

I am fortunate to work with some of the most sophisticated global companies on their AI/ML initiatives. These companies include many household names on the Fortune 500 and come from industries as diverse as insurance, pharmaceuticals, and manufacturing. Each has dozens to literally thousands of data scientists on its payroll. While they have significant investments in AI and ML, they exhibit a surprisingly wide array of maturity when it comes to MLOps.

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Machine Learning Models Comparative Analysis

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction The phrase “machine learning” was invented by Arthur Samuel at IBM. Machine learning is a part of Artificial Intelligence. Machine learning is the process of learning from data and applying math to increase accuracy. There are four different types of machine learning.

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In Data We Trust: Data Centric AI

KDnuggets

Learn how data-centric AI can improve your model's overall performance.

Modeling 131
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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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Alphabet pins hopes on Google Cloud as ad revenue growth declines

CIO Business Intelligence

Alphabet on Tuesday posted lower-than-expected numbers for its third financial quarter, where it fell behind both revenue and profit expectations. While overall revenue growth slowed to 6% in the quarter for Alphabet, Google Cloud grew 38% year-on-year to $6.9 billion, giving the company much needed support. “I’ve long shared that cloud is a key priority for the company,” said Sundar Pichai, CEO at Alphabet, while addressing analysts on Tuesday, according to a transcript from Motley Fool.

IoT 118
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6 Steps to Developing a Successful IT Sustainability Strategy

Teradata

Developing an IT sustainability strategy can bring major positive change across the enterprise, lowering costs and optimizing resource use.

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Using a Blockchain Explorer with Polygonscan

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction A blockchain is a digital ledger where every transaction executed is recorded and stored in a decentralized manner. One of the key features of blockchain technology is that it is transparent. You may wonder how this is beneficial to you. Ever heard […]. The post Using a Blockchain Explorer with Polygonscan appeared first on Analytics Vidhya.

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Top 7 Diffusion-Based Applications with Demos

KDnuggets

Learn about various Diffusion-based applications to get inspiration for a final-year project, research, and product.

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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.