DataKitchen

OCTOBER 27, 2022

. 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

Dashboards 130

Dashboards Measurement Testing Modeling 130

Analytics Vidhya

OCTOBER 27, 2022

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 […].

Data Science 285

Data Science Publishing Analytics IT 285

KDnuggets

OCTOBER 24, 2022

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.

Machine Learning 160

Machine Learning Modeling 160

CIO Business Intelligence

OCTOBER 28, 2022

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

Digital Transformation 145

Digital Transformation Enterprise Reporting Metrics 145

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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?

Business Intelligence

DataKitchen

OCTOBER 25, 2022

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

Testing Data-driven Visualization Dashboards 130

Analytics Vidhya

OCTOBER 28, 2022

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.

Machine Learning 385

Machine Learning Modeling Forecasting Data Science 385

CIO Business Intelligence

OCTOBER 27, 2022

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

IT Cost-Benefit Finance Marketing 145

Smart Data Collective

OCTOBER 27, 2022

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 129

Risk Strategy IT Marketing 129

Analytics Vidhya

OCTOBER 25, 2022

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.

Machine Learning 368

Machine Learning Modeling Data Science Publishing 368

KDnuggets

OCTOBER 28, 2022

In this article, I have explained some tips and tricks to optimize and speed up Python code.

Optimization 160

Optimization 160

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📌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.

Data-driven

CIO Business Intelligence

OCTOBER 25, 2022

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.

Data Strategy 145

Data Strategy Strategy Data Lake Data-driven 145

Smart Data Collective

OCTOBER 25, 2022

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.

Technology 125

Technology Data-driven Big Data Marketing 125

Analytics Vidhya

OCTOBER 27, 2022

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.

Data Science 373

Data Science Publishing Analytics IT 373

KDnuggets

OCTOBER 26, 2022

A Data Science Portfolio That Will Land You The Job in 2022 • Is OLAP Dead? • 10 Essential SQL Commands for Data Science • Why TinyML Cases Are Becoming More Popular • Ensemble Learning with Examples.

OLAP 112

OLAP Data Science 112

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.

Marketing

CIO Business Intelligence

OCTOBER 26, 2022

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

IT Consulting Experimentation Business Objectives 141

Depict Data Studio

OCTOBER 24, 2022

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

Modeling IT Visualization 111

Analytics Vidhya

OCTOBER 26, 2022

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.

Data Science 363

Data Science Publishing Analytics Deep Learning 363

KDnuggets

OCTOBER 28, 2022

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.

Data Science 128

Data Science 128

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.

Business Intelligence

CIO Business Intelligence

OCTOBER 27, 2022

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.

Digital Transformation 124

Digital Transformation Technology IT Management 124

Domino Data Lab

OCTOBER 26, 2022

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.

Insurance 96

Insurance Manufacturing IT 96

Analytics Vidhya

OCTOBER 28, 2022

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 […].

Data mining 357

Data mining Data Science Publishing Technology 357

KDnuggets

OCTOBER 24, 2022

Learn various algorithms to improve the robustness and performance of machine learning applications. Furthermore, it will help you build a more generalized and stable model.

Machine Learning 118

Machine Learning Modeling IT 118

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.

Data-driven

CIO Business Intelligence

OCTOBER 25, 2022

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

Insurance Data Architecture Data-driven Interactive 119

Cloudera

OCTOBER 27, 2022

Abstract. The Apache Solr cluster is available in CDP Public Cloud , using the “Data exploration and analytics” data hub template. In this article we will investigate how to connect to the Solr REST API running in the Public Cloud, and highlight the performance impact of session cookie configurations when Apache Knox Gateway is used to proxy the traffic to Solr servers.

Data Processing 86

Data Processing Testing Measurement Visualization 86

Analytics Vidhya

OCTOBER 28, 2022

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 354

Data Lake Data Warehouse Data Collection Data Science 354

KDnuggets

OCTOBER 27, 2022

Edge ML involves putting ML models on consumer devices where they can independently run inferences without an internet connection, in real-time, and at no cost.

Machine Learning 112

Machine Learning Modeling 112

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.

Sales

CIO Business Intelligence

OCTOBER 26, 2022

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

IoT Marketing Data Processing Consulting 118

Teradata

OCTOBER 25, 2022

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

Strategy 95

Strategy IT Optimization Enterprise 95

Analytics Vidhya

OCTOBER 28, 2022

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.

Data Science 347

Data Science Publishing Technology Analytics 347

KDnuggets

OCTOBER 26, 2022

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

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123

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.

Modeling