CIO Business Intelligence

OCTOBER 3, 2022

Today’s CIOs need to be more than strategic, they should be visionaries, too. With that in mind, many are already looking ahead and planning for what they, their IT departments, and their organizations as a whole will need in 2025. Todd Cassidy, managing vice president and CIO of associate experience at Capital One, is in that camp. “We are constantly looking ahead to make sure we are ready for what’s next,” says Cassidy, who is also the company’s chief of staff for technology.

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IT Internet of Things Technology Consulting 145

Analytics Vidhya

OCTOBER 4, 2022

This article was published as a part of the Data Science Blogathon. Introduction Today, Data Lake is most commonly used to describe an ecosystem of IT tools and processes (infrastructure as a service, software as a service, etc.) that work together to make processing and storing large volumes of data easy. An ecosystem consists of […]. The post Key Components and Challenges of Data Lakes appeared first on Analytics Vidhya.

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Data Lake Data Science Publishing Software 362

DataKitchen

OCTOBER 5, 2022

Part 1: Defining the Problems. This is the first 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.

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David Menninger's Analyst Perspectives

OCTOBER 4, 2022

Process mining is defined as the analysis of application telemetry including log files, transaction data and other instrumentation to understand and improve operational processes. Log data provides an abundance of information about what operations are occurring, the sequences involved in the processes, how long the processes are taking and whether or not the processes are completed successfully.

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Machine Learning Business Intelligence Analytics 204

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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

OCTOBER 7, 2022

There is no shortage of tools today that can help you through the steps of natural language processing, but if you want to get a handle on the basics this is a good place to start. Read about the ABCs of NLP, all the way from A to Z.

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Analytics Vidhya

OCTOBER 7, 2022

This article was published as a part of the Data Science Blogathon. Introduction With the increasing use of technology, data accumulation is faster than ever due to connected smart devices. These devices continuously collect and transmit data that can be processed, transformed, and stored for later use. This collected data, known as big data, holds valuable […].

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CIO Business Intelligence

OCTOBER 7, 2022

With data increasingly vital to business success, business intelligence (BI) continues to grow in importance. With a strong BI strategy and team, organizations can perform the kinds of analysis necessary to help users make data-driven business decisions. BI encompasses numerous roles. BI analysts, with an average salary of $71,493 according to PayScale , provide application analysis and data modeling design for centralized data warehouses and extract data from databases and data warehouses for r

Business Intelligence 145

Business Intelligence Data Warehouse Visualization Dashboards 145

KDnuggets

OCTOBER 4, 2022

Among the four big NoSQL database types, key-value stores are probably the most popular ones due to their simplicity and fast performance. Let’s further explore how key-value stores work and what are their practical uses.

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Analytics Vidhya

OCTOBER 2, 2022

This article was published as a part of the Data Science Blogathon. Introduction If you are a data scientist or a Python developer who sometimes wears the data scientist hat, you were likely required to work with some of these tools & technologies: Pandas, NumPy, PyArrow, and MongoDB. If you are new to these terms, […]. The post Using MongoDB with Pandas, NumPy, and PyArrow appeared first on Analytics Vidhya.

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Data Science Publishing Technology Analytics 375

Smart Data Collective

OCTOBER 1, 2022

We have previously talked about ways that big data is changing the world of sports. Formula 1 teams are among those most affected. Ever since the Oakland A’s switched their recruitment policy from a players’ running speed and strength to a more sophisticated and nuanced look at the on-base slugging percentage, the world of sports has become more and more accustomed to utilizing sports analytics in their team-building.

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Big Data Statistics Metrics Analytics 131

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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 6, 2022

As an IT leader, being able to foster innovation not only benefits the IT itself, with greater efficiency, effectiveness and value, but the organization it serves and you personally, as it illustrates your ability to be an internal agent of change, a true business partner, and an asset at the strategy table. 1. Define and articulate your definition of IT innovation.

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IT ROI Cost-Benefit Software 145

KDnuggets

OCTOBER 7, 2022

We have compiled a list of the top free resources to help new data practitioners learn SQL. These include free online courses and resources to get the most out of your SQL skills.

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Analytics Vidhya

OCTOBER 2, 2022

This article was published as a part of the Data Science Blogathon. Introduction A business or a brand’s success depends solely on customer satisfaction. Suppose, if the customer does not like the product, you may have to work on the product to make it more efficient. So, for you to identify this, you will be […]. The post Sentiment Analysis Using VADER appeared first on Analytics Vidhya.

Data Science 355

Data Science Publishing Analytics IT 355

Smart Data Collective

OCTOBER 3, 2022

The market for cloud technology is growing remarkably. One study shows spending on cloud services doubled between 2017 and 2020 from $30 billion to $60 billion. Cloud technology is changing the face of the modern workplace. More companies than ever are leveraging the cloud to boost productivity, improve customer service strategies and streamline the research and development process.

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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 1, 2022

Over the past 184 years, The Procter & Gamble Co. (P&G) has grown to become one of the world’s largest consumer goods manufacturers, with worldwide revenue of more than $76 billion in 2021 and more than 100,000 employees. Its brands are household names, including Charmin, Crest, Dawn, Febreze, Gillette, Olay, Pampers, and Tide. In summer 2022, P&G sealed a multiyear partnership with Microsoft to transform P&G’s digital manufacturing platform.

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Manufacturing Digital Transformation IoT Internet of Things 145

KDnuggets

OCTOBER 5, 2022

What is NLP, and what types of questions related to NLP can you expect at the NLP-related job interviews?

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Analytics Vidhya

OCTOBER 4, 2022

This article was published as a part of the Data Science Blogathon. Introduction Machine learning projects can be extremely challenging in the IT industry. Several factors can make them difficult, including the volume of data that needs to be processed, the complexity of the algorithms involved, and the need to ensure that the systems are […].

Machine Learning 348

Machine Learning Data Science Publishing IT 348

Depict Data Studio

OCTOBER 4, 2022

Dashboards aren’t scary! In this video, let’s make a starter dashboard in Microsoft Excel. You’ll learn how to make four quick visuals: Sparklines Data bars Symbol fonts Color scales. I use these visuals over and over in my real-life consulting projects. Watch the Tutorial. Sparklines. Sparklines are helpful for visualizing patterns over time, like daily, weekly, monthly, quarterly, or annual data.

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Dashboards Visualization Statistics Consulting 120

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 5, 2022

Data-driven supply chains continues to be a hot topic, given what’s happened over the last couple of years with the pandemic, lockdowns, transportation woes, container ships held outside ports, war in Ukraine and other issues wreaking havoc. Problems caused by these events are ongoing, but if addressed from a proactive rather than reactive standpoint, there are ways to mitigate their detrimental impact, especially when the analytics and processes become clear.

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KDnuggets

OCTOBER 5, 2022

Digital transformation is evolving, and so is the fintech industry by implementing AI trends and leveraging several benefits, such as optimizing productivity, increasing ROI, and enhancing security.

Finance 128

Finance ROI Digital Transformation Management 128

Analytics Vidhya

OCTOBER 4, 2022

This article was published as a part of the Data Science Blogathon. Introduction Physicists have reduced a quantum physics problem that required 100,000 equations into a bite-size task that only requires four equations using Artificial Intelligence (AI). Researchers at the US-based Flatiron Institute trained a machine learning tool to grasp the physics of electrons moving on […].

Machine Learning 330

Machine Learning Data Science Publishing Analytics 330

Domino Data Lab

OCTOBER 4, 2022

Go to your favourite social media outlet and use the search functionality to look for DALL-E. You can take a look at this link to see some examples in Twitter. Scroll a bit up and down, and you will see some images that, at first sight, may be very recognisable. Depending on the scenes depicted, if you pay a bit more attention you may see that in some cases something is not quite right with the images.

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Modeling Deep Learning IT Machine Learning 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

CIO Business Intelligence

OCTOBER 5, 2022

As transformational IT has increasingly become a business imperative, implementation partners have been looking to strengthen their value proposition for their customers. To differentiate themselves from transactional service providers, the more proactive partners are evolving their offerings and approaches, thereby becoming more strategic than they had been in the past.

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Digital Transformation Strategy Risk Management 122

KDnuggets

OCTOBER 4, 2022

Interview Kickstart’s Data Science Interview Course is built by Data Scientists from MAANG and other big tech companies, the course promises to get you interview-ready in 15 weeks.

Data Science 108

Data Science IT 108

Analytics Vidhya

OCTOBER 3, 2022

This article was published as a part of the Data Science Blogathon. Introduction Today, we expect web applications to respond to user queries quickly, if not immediately. As applications cover more aspects of our daily lives, it is increasingly difficult to provide users with a quick response. Source: kafka.apache.org Caching is used to solve […].

Data Science 327

Data Science Publishing Analytics IT 327

Dataiku

OCTOBER 1, 2022

Consumers have grown increasingly dependent on the pervasiveness of AI in everyday life. For example, with a click of a button, consumers can make purchases and, based on user behavior, AI identifies patterns and generates helpful suggestions that organizations can then leverage. Yet, while day-to-day operations have simplified, a burning question remains — is this data being used and stored responsibly?

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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 4, 2022

By Bryan Kirschner, Vice President, Strategy at DataStax. From delightful consumer experiences to attacking fuel costs and carbon emissions in the global supply chain, real-time data and machine learning (ML) work together to power apps that change industries. New research co-authored by Marco Iansiti, the co-founder of the Digital Initiative at Harvard Business School, sheds further light on how a data platform with robust real-time capabilities contribute to delivering competitive, ML-driven e

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Machine Learning Data Architecture Uncertainty Data-driven 118

KDnuggets

OCTOBER 1, 2022

If you want a deep dive on transformers, this Stanford course has made its courseware freely available, including lecture videos, readings, assignments, and more.

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IT Machine Learning 116

Analytics Vidhya

OCTOBER 3, 2022

This article was published as a part of the Data Science Blogathon. Introduction In data science, learning about databases is inevitable. In fact, as a data science expert, you have to learn how to work with databases, run queries quickly, and more. There is no way around it! He has two things to know. Learn […]. The post Demystifying NoSQL: Your Complete Interview Guide appeared first on Analytics Vidhya.

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Data Science Publishing Analytics IT 321

Octopai

OCTOBER 2, 2022

Octopai is adding out-of-the-box support and analysis of IBM Db2, PostgreSQL and MySQL, three of the leading database systems. The new coverage of these systems further broadens Octopai’s support of data landscapes in a singular platform. . As the move to the cloud becomes an inevitable reality for enterprises, the management of data pipelines and assets has become more challenging while many organizations still have to support legacy systems in hybrid environments. .

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Business Intelligence Visualization Enterprise Management 98

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.

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