CIO Business Intelligence

DECEMBER 28, 2022

Even though sustainability can be an amorphous organizational pursuit, it’s becoming more of an urgent priority all industries must clearly define. Whether that’s through internally motivated ESG efforts or imposed regulations, CIOs, in particular, find themselves increasingly central figures in sustainability initiatives. And scope 3 reporting—an account of carbon emissions across the supply chain to build equipment, provide professional expertise, or deliver a subscription service—may be the m

Reporting 119

Reporting Consulting Manufacturing Software 119

DataKitchen

DECEMBER 29, 2022

The Terms and Conditions of a Data Contract are Automated Production Data Tests. A data contract is a formal agreement between two parties that defines the structure and format of data that will be exchanged between them. Data contracts are a new idea for data and analytic team development to ensure that data is transmitted accurately and consistently between different systems or teams.

Testing 130

Testing Statistics Data Quality Data Integration 130

Analytics Vidhya

DECEMBER 26, 2022

This article was published as a part of the Data Science Blogathon. Introduction Source: Image by Albrecht Fietz from Pixabay Google Cloud Platform, or GCP for short, is like a big house with many different rooms. Each room is called a “server,” where websites, apps, and other online stuff live. Imagine you have a really […]. The post GCP: The Future of Cloud Computing appeared first on Analytics Vidhya.

Data Science 289

Data Science Publishing Analytics 289

David Menninger's Analyst Perspectives

DECEMBER 27, 2022

For far too long, business intelligence technologies have left the rest of the exercise to the reader. Many of these tools do an excellent job providing information in an interactive way that lets organizations dive into the data and learn a lot about what has happened across all aspects of the business. More recently, many of these tools have added augmented intelligence capabilities that help explain why things happened.

Business Intelligence 204

Business Intelligence Interactive Technology Machine Learning 204

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have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth.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

KDnuggets

DECEMBER 30, 2022

Data science is ever-evolving, so mastering its foundational technical and soft skills will help you be successful in a career as a Data Scientist, as well as pursue advance concepts, such as deep learning and artificial intelligence.

Data Science 160

Data Science Deep Learning IT 160

Smart Data Collective

DECEMBER 26, 2022

Do you think a small business owner need not worry about cyberattacks? 46% of all cyberattacks impact businesses with less than 1000 employees. Small businesses have fewer resources to invest in the security paradigm. That’s why; hackers find it easy to attack such vulnerable systems instead of large corporations who have spent millions of dollars on cybersecurity.

Strategy 136

Strategy Testing Risk Software 136

David Menninger's Analyst Perspectives

DECEMBER 29, 2022

Organizations conduct data analysis in many ways. The process can include multiple spreadsheets, applications, desktop tools, disparate data systems, data warehouses and analytics solutions. This creates difficulties for management to provide and maintain updated information across multiple departments. Our Analytics and Data Benchmark Research shows that organizations face a variety of challenges with analytics and business intelligence.

Business Intelligence 200

Business Intelligence Analytics Data Warehouse Software 200

KDnuggets

DECEMBER 30, 2022

It's time again to look at some data science cheatsheets. Here you can find a short selection of such resources which can cater to different existing levels of knowledge and breadth of topics of interest.

Data Science 160

Data Science IT 160

Smart Data Collective

DECEMBER 28, 2022

A data pipeline is a technical system that automates the flow of data from one source to another. While it has many benefits, an error in the pipeline can cause serious disruptions to your business. Thankfully, there are ways to prevent them and avoid this company wide disruption. Here are some of the best practices for preventing errors in your data pipeline: 1.

Data Governance 125

Data Governance Testing Cost-Benefit Management 125

Analytics Vidhya

DECEMBER 28, 2022

Introduction Though machine learning isn’t a relatively new concept, organizations are increasingly switching to big data and ML models to unleash hidden insights from data, scale their operations better, and predict and confront any underlying business challenges. All this positively impacts the ML industry while opening up new career avenues, job roles, a plethora of […].

Machine Learning 324

Machine Learning Analytics Big Data Modeling 324

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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

Octopai

DECEMBER 26, 2022

Ever moved house? It’s time-consuming, labor-intensive and psychologically stressful. How about moving an Amazon fulfillment center? One of Amazon’s biggies, the area of 28 football fields with tens of millions of products in it. And hundreds of robots that move in a stunning synchronized dance together with the hundreds of human employees to get out tens of thousands of packages a day.

Data Warehouse 98

Data Warehouse Cost-Benefit Recreation/Entertainment Reporting 98

KDnuggets

DECEMBER 29, 2022

This article compiles the 38 top Python libraries for data science, data visualization & machine learning, as best determined by KDnuggets staff.

Machine Learning 160

Machine Learning Visualization Data Science 160

Smart Data Collective

DECEMBER 29, 2022

Big data can be an intimidating concept. Whether you’ve been using it for a while in your business or you’re just starting to explore the possibilities, there’s a lot to consider. Large corporations can hire dedicated data experts or even a full big data team , but small businesses have to be more selectively strategic in how they approach collecting and leveraging data.

Big Data 123

Big Data Data mining Marketing Strategy 123

Analytics Vidhya

DECEMBER 30, 2022

Introduction Natural language processing (NLP) is a field of computer science and artificial intelligence that focuses on the interaction between computers and human (natural) languages. It involves developing algorithms and models to analyze, understand, and generate human language, enabling computers to perform sentiment analysis, language translation, text summarization, and tasks.

Analytics 316

Analytics Interactive Modeling IT 316

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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

Paul Turley

DECEMBER 29, 2022

DevOps isn't difficult to implement for small and medium-scale projects, and simple things like managing version control in a code repository can save hours of lost time. Organization who are accustomed to managing large application development initiatives might expect to have a fully automated build and deployment process in concert with an Agile delivery process, managed with specialized tools like Jira, GitHub and Azure DevOps.

Management 84

Management 84

KDnuggets

DECEMBER 27, 2022

Here are 5 tasks you can automate with Python, and how to do it.

IT 160

IT 160

Smart Data Collective

DECEMBER 29, 2022

Data is often perceived as a luxury of big business. It costs money. It also costs time and expertise. People go to college specifically to learn how to manage and interpret data. What’s a layperson thinking trying to step up to the plate without the right credentials? It’s true that data implementation at the highest level comes with barriers built in.

Data Analytics 120

Data Analytics Analytics Cost-Benefit Sales 120

Analytics Vidhya

DECEMBER 30, 2022

This article was published as a part of the Data Science Blogathon. Introduction Have you ever wondered how Instagram recommends similar kinds of reels while you are scrolling through your feed or ad recommendations for similar products that you were browsing on Amazon? All these sites use some event streaming tool to monitor user activities. […].

Data Science 315

Data Science Publishing Analytics Big Data 315

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

Dataiku

DECEMBER 29, 2022

The past three years haven’t exactly been smooth-sailing for the global supply chain. In many ways, it still feels like we’re grasping for the new normal. Nevertheless, enterprises across the Retail and CPG industry are looking ahead and planning for the future in novel ways. With that in mind, in this blog we’ll take a look at three trends in Retail and CPG to keep your eye on for the coming year.

Enterprise 74

Enterprise IT 74

KDnuggets

DECEMBER 29, 2022

It's the end of the year, and so it's time for KDnuggets to assemble a team of experts and get to the bottom of what the most important data science, machine learning, AI and analytics developments of 2022 were.

Machine Learning 152

Machine Learning Data Science Analytics IT 152

Smart Data Collective

DECEMBER 29, 2022

Today, more and more organizations are taking advantage of data and the profound and wide-ranging insights that it has to offer. One industry that has begun to utilize data to inform decision-making is the healthcare industry. This is because data has the power to help healthcare organizations improve their processes in a number of critical ways. Understanding how data can help healthcare organizations thrive is key to gaining a deeper and more nuanced view of how healthcare is evolving in the m

Cost-Benefit 117

Cost-Benefit Data-driven Data Analytics Management 117

Analytics Vidhya

DECEMBER 27, 2022

This article was published as a part of the Data Science Blogathon. Source: Author(Paint) Introduction Arushi is a data architect in a company named Redeem. The company provides cashback to customers who check in at restaurants & hotels. Customers log in through the app and upload the bills and they got a certain percentage of […]. The post Understanding BigQuery: Architecture and Use Case appeared first on Analytics Vidhya.

Data Science 306

Data Science Publishing Analytics Structured Data 306

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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

CIO Business Intelligence

DECEMBER 30, 2022

Covid-19 had an instant impact on London’s West End, and the Royal Opera House (ROH) was no exception. In March 2020, the company took the decision to close the building in Covent Garden and approximately 163 shows were cancelled in the first year of the pandemic. So when James Whitebread joined in June 2021, he could’ve been forgiven for wondering what kind of future lay ahead.

Broadcasting 69

Broadcasting Digital Transformation Technology Marketing 69

KDnuggets

DECEMBER 25, 2022

Want to know how Santa might use data science to make his job easier? So did we, so we asked ChatGPT. Read on to find out what it said.

Data-driven 148

Data-driven Data Science Analytics IT 148

Dataiku

DECEMBER 30, 2022

“First, we need clean and centralized data” is probably the one sentence responsible for the most failures of large-scale data initiatives (close second to “we’ll figure out how to deploy once we have models”). In helping organizations around the globe set up and implement their data science and AI strategies, we often hear teams say that they’re waiting to figure out their data first before beginning to generate value with advanced analytics and AI — whether they’re referring to data quality, d

Data Lake 64

Data Lake IT Data Quality Data Science 64

Analytics Vidhya

DECEMBER 26, 2022

This article was published as a part of the Data Science Blogathon. Overview ETL (Extract, Transform, and Load) is a very common technique in data engineering. It involves extracting the operational data from various sources, transforming it into a format suitable for business needs, and loading it into data storage systems. Traditionally, ETL processes are […].

Data Science 306

Data Science Publishing Analytics IT 306

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

Ontotext

DECEMBER 30, 2022

Christmas is a wonderful time to look back, appreciate and discuss plans for the coming year. In this post, we want to share with you, our customers, partners and fans, a high level view of our accomplishments and plans for the next few years. Those are bold plans, because in 2022 we received recognition for what we’ve achieved through investment to help us expand, accelerate growth and engage the market with the technology we’ve been developing for 20 years.

Enterprise 52

Enterprise Sales Cost-Benefit Marketing 52

KDnuggets

DECEMBER 29, 2022

Python is one of the programming languages that are very versatile and relatively easy to learn. Hence it is the choice of many new programmers, regardless of what area of tech they are interested in. It is particularly popular in all data science branches.

Data Science 116

Data Science IT 116

Dataiku

DECEMBER 27, 2022

MLOps is changing, but you might be surprised to learn how. It's not about technology; it's about people. If MLOps is going to move beyond simple deployment and management of a few projects, it must evolve into a multi-persona approach that includes data scientists, engineers, and business stakeholders. When it does evolve, MLOps can finally become the lever for the industrialization of AI programs that we have all been waiting for.

Technology 59

Technology Management IT 59

Analytics Vidhya

DECEMBER 28, 2022

This article was published as a part of the Data Science Blogathon. Introduction Source: [link] As a machine learning professional, you know that the field is rapidly growing and evolving. The increasing demand for skilled machine learning experts makes competition for top job positions fierce. To stand out from the competition and land your dream […].

Machine Learning 296

Machine Learning Data Science Publishing Analytics 296

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