DataKitchen

JANUARY 18, 2023

While you’re admiring the latest cloud tech, don’t forget that humans have been debugging pipelines, at least since the Romans built the aqueducts. Any good plumber can give you some hard-won tips on managing data pipelines effectively, insights that might save your career from going down the drain. Your overalls are cleaner when you work on new construction. .

Testing 130

Testing Data-driven Risk Strategy 130

Data Virtualization

JANUARY 17, 2023

Reading Time: 2 minutes In recent years, there has been a growing interest in data architecture. One of the key considerations is how best to handle data, and this is where data mesh and data fabric come into play. But what are the key. The post Data Mesh vs Data Fabric: Understanding the Key Differences appeared first on Data Virtualization blog - Data Integration and Modern Data Management Articles, Analysis and Information.

Data Architecture 52

Data Architecture Data Integration Management Metadata 52

BI-Survey

JANUARY 15, 2023

Data architecture is a topic that is as relevant today as ever. It is widely regarded as a matter for data engineers, not business domain experts. But is it really? Statements from countless interviews with our customers reveal that the data warehouse is seen as a “black box” by many and understood by few business users. Therefore, it is not clear why the costly and apparently flexibility-inhibiting data warehouse is needed at all.

Data Warehouse 52

Data Warehouse IT Data Architecture Measurement 52

Analytics Vidhya

JANUARY 17, 2023

Introduction Data Science and Artificial Intelligence (AI) are two of the most rapidly growing and exciting technological fields today. Both disciplines are revolutionizing how we process, analyze, and make sense of data to solve complex problems and make informed decisions. In this blog, we will delve into the definitions of Data Science and AI, explore […].

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Data Science Technology Analytics Machine Learning 335

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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have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth.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.

Optimization

DataRobot Blog

JANUARY 17, 2023

As a data scientist, one of the best things about working with DataRobot customers is the sheer variety of highly interesting questions that come up. Recently, a prospective customer asked me how I reconcile the fact that DataRobot has multiple very successful investment banks using DataRobot to enhance the P&L of their trading businesses with my comments that machine learning models aren’t always great at predicting financial asset prices.

Machine Learning 87

Machine Learning Marketing Experimentation Modeling 87

IBM Big Data Hub

JANUARY 17, 2023

A data lakehouse is an emerging data management architecture that improves efficiency and converges data warehouse and data lake capabilities driven by a need to improve efficiency and obtain critical insights faster. Let’s start with why data lakehouses are becoming increasingly important. Why is a data lakehouse architecture becoming increasingly important?

Data Lake 52

Data Lake Metadata Data Warehouse Data Governance 52

IBM Big Data Hub

JANUARY 17, 2023

Due to the convergence of events in the data analytics and AI landscape, many organizations are at an inflection point. Regardless of size, industry or geographical location, the sprawl of data across disparate environments, increase in velocity of data and the explosion of data volumes has resulted in complex data infrastructures for most enterprises.

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Data-driven Enterprise Data Governance Prescriptive Analytics 56

Analytics Vidhya

JANUARY 20, 2023

Introduction Machine learning has become an essential tool for organizations of all sizes to gain insights and make data-driven decisions. However, the success of ML projects is heavily dependent on the quality of data used to train models. Poor data quality can lead to inaccurate predictions and poor model performance. Understanding the importance of data […] The post What is Data Quality in Machine Learning?

Data Quality 397

Data Quality Machine Learning Data-driven Modeling 397

O'Reilly on Data

JANUARY 17, 2023

What would you say is the job of a software developer? A layperson, an entry-level developer, or even someone who hires developers will tell you that job is to … well … write software. Pretty simple. An experienced practitioner will tell you something very different. They’d say that the job involves writing some software, sure. But deep down it’s about the purpose of software.

Machine Learning 331

Machine Learning Predictive Modeling Software Modeling 331

datapine

JANUARY 18, 2023

Table of Contents 1) What Is The Report Definition? 2) Top 14 Types Of Reports 3) What Does A Report Look Like? Businesses have been producing reports since, forever. No matter what role or industry you work in, chances are that you have been faced with the task of generating a tedious report to show your progress or performance. While reporting has been a common practice for many decades, the business world keeps evolving and, with more competitive industries, the need to generate fast and accu

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Reporting Metrics Dashboards Visualization 201

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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

KDnuggets

JANUARY 20, 2023

Is ChatGPT useful for Python programmers, specifically those of us who use Python for data processing, data cleaning, and building machine learning models? Let's give it a try and find out.

Machine Learning 160

Machine Learning Data Processing Modeling IT 160

Analytics Vidhya

JANUARY 20, 2023

Introduction Machine learning is great! But there’s one thing that makes it even better: ensemble learning. Ensemble learning helps enhance the performance of machine learning models. The concept behind it is simple. Multiple machine learning models are combined to obtain a more accurate model. Bagging, boosting and stacking are the three most popular ensemble learning techniques. […] The post Ensemble Learning Methods: Bagging, Boosting and Stacking appeared first on Analytics Vidhy

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Machine Learning Modeling Analytics IT 348

CIO Business Intelligence

JANUARY 17, 2023

The CIO role continues to evolve, changing as dramatically as the technology it manages and maintains. Moreover, the pace of the chief IT position’s transformation seems to be accelerating — likewise mirroring the speed of change in the tech stack. Consequently, tech executives must lead, manage, and work differently than they did in the past. How so?

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IT Strategy Management Technology 145

David Menninger's Analyst Perspectives

JANUARY 17, 2023

Ventana Research recently announced its 2023 Market Agenda for Analytics , continuing the guidance we have offered for nearly two decades to help organizations derive optimal value from technology investments to improve business outcomes.

Marketing 130

Marketing Analytics Optimization Technology 130

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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

KDnuggets

JANUARY 18, 2023

Can ChatGPT provide answers to data science questions to the same standard of humans? Check out this attempt to do so, and compare the answers to those from experts.

Data Science 154

Data Science 154

Analytics Vidhya

JANUARY 18, 2023

Introduction We have internet access in every corner of the country. Almost all businesses around us, like manufacturing, retail, consultancy, etc., are trying to go digital and display themselves on the web to scale and increase sales. If you want to know anything about your surroundings, then the internet is the first choice we prefer. […]. The post Complete Guide to Ethereum Blockchain with Python appeared first on Analytics Vidhya.

Manufacturing 346

Manufacturing Consulting Sales Analytics 346

CIO Business Intelligence

JANUARY 16, 2023

There’s no doubt that DevOps has helped many IT organizations achieve their goal of delivering applications and services faster and better than traditional software development processes. Unfortunately, while some IT leaders do a fine job of trumpeting DevOps’ benefits, their teams are headed in the wrong direction , embracing half-baked or completely wrong tools and practices.

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Consulting Software Technology Management 145

Smart Data Collective

JANUARY 16, 2023

Companies around the world are projected to spend over $300 billion on machine learning technology by 2030. There are a growing number of reasons that companies are investing in machine learning, but digital marketing is at the top of the list. SEO, in particular, relies more heavily on machine learning these days. More Companies Are Discovering the Benefits of Using Machine Learning for SEO A few years ago, we wrote an article pointing out that machine learning is rewriting the rules of SEO.

Machine Learning 128

Machine Learning Marketing Cost-Benefit Optimization 128

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

KDnuggets

JANUARY 18, 2023

We will be learning web scraping and training supervised machine-learning algorithms to predict winning teams.

Machine Learning 154

Machine Learning 154

Analytics Vidhya

JANUARY 15, 2023

Introduction to AWS AWS, or Amazon Web Services, is one of the world’s most widely used cloud service providers. It is a cloud platform that provides a wide variety of services that can be used together to create highly scalable applications. AWS has many clusters of data centers in multiple countries across the globe. These […]. The post AWS Lambda Tutorial: Creating Your First Lambda Function appeared first on Analytics Vidhya.

Analytics 343

Analytics IT 343

CIO Business Intelligence

JANUARY 18, 2023

CIOs supporting a hybrid mix of in-office and remote workers, and those who float between, need to implement new tools and strategies to get it right. But they will also need to change how they think about hybrid work, which analyst firm Forrester characterizes as “messy” even as it says 51% of organizations are moving in this direction. Hybrid work is often thought of in terms of location, according to a November Gartner report.

IT 144

IT Data-driven Interactive Strategy 144

Smart Data Collective

JANUARY 19, 2023

Are you looking for a way to reduce the cost of your development efforts? DevOps on the cloud could be the answer! DevOps is an increasingly popular approach that combines software development and operations, allowing developers and IT professionals to work together more efficiently. With DevOps on the cloud, businesses can take advantage of faster, more flexible computing environments without having to invest in expensive hardware and software.

Optimization 122

Optimization Cost-Benefit Software Measurement 122

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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.

Reporting

KDnuggets

JANUARY 16, 2023

All you need to know about ChatGPT: what it can do, how it works, and its limitations.

IT 148

IT 148

Analytics Vidhya

JANUARY 20, 2023

Introduction If you are looking for a platform where you can learn about Data Science, then look no more! Analytics Vidhya is the one. We have always kept our community at the centre stage of the ecosystem. In mind, Analytics Vidhya has launched the DataHour sessions, which will improve your domain knowledge and help you […] The post Unlock Learnings with the January DataHour Sessions!

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Data Science Analytics Statistics 328

CIO Business Intelligence

JANUARY 16, 2023

Choice Hotels International’s early and big bet on the cloud has allowed it to glean the many benefits of its digital transformation and devote more energies to a key corporate value — sustainability, its CIO maintains. That is largely due to the 80-year-old hotel chain’s tight partnership with Amazon Web Services, says Choice CIO Brian Kirkland, who claims his company is enjoying the cost benefits and energy efficiencies of the cloud while exploiting many of 225 related services AWS offers such

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Cost-Benefit Digital Transformation Data Warehouse Data-driven 144

Smart Data Collective

JANUARY 15, 2023

Data visualization tools have become very useful for many businesses. Companies use data visualization for trend mapping, data contextualization and various forms of business optimization. Therefore, it should come as no surprise that global companies are projected to spend over $10.2 billion on data visualization technology within the next three years.

Sales 122

Sales Visualization Big Data Software 122

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.

Business Intelligence

KDnuggets

JANUARY 19, 2023

In this article, we will discuss use cases and methods for using ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) processes along with SQL to integrate data from various sources.

Data Integration 137

Data Integration 137

Analytics Vidhya

JANUARY 16, 2023

This article was published as a part of the Data Science Blogathon. Introduction Artificial intelligence (AI) is rapidly becoming a fundamental part of our daily lives, from self-driving cars to virtual personal assistants. However, as AI technology advances, it is crucial to consider the ethical implications of its development and use. The use of AI […].

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Data Science Publishing Technology Analytics 319

CIO Business Intelligence

JANUARY 20, 2023

Business intelligence definition Business intelligence (BI) is a set of strategies and technologies enterprises use to analyze business information and transform it into actionable insights that inform strategic and tactical business decisions. BI tools access and analyze data sets and present analytical findings in reports, summaries, dashboards, graphs, charts, and maps to provide users with detailed intelligence about the state of the business.

Business Intelligence 144

Business Intelligence Dashboards Data mining OLAP 144

Teradata

JANUARY 20, 2023

The dwindling personal auto insurance market is a harbinger of a lot more change to come. Find out more.

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Insurance Marketing 98

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