KDnuggets

JANUARY 9, 2023

Data-driven organizations require complex collaboration between data teams and business stakeholders. Here are 4 proactive tips for reducing information asymmetries and achieving better collaboration.

IT 160

IT Data-driven 160

KDnuggets

JANUARY 9, 2023

Looking back and realizing how I was wrong about the data science career.

Data Science 155

Data Science 155

Analytics Vidhya

JANUARY 10, 2023

Source: istockphoto Introduction Data Science is a fast-booming domain that has seen exponential growth in recent years. It involves collecting, processing, and analysing data using math, statistics, specialized programming, artificial intelligence, machine learning, and more. Source: istockphoto Although Data Science has expanded beyond the IT and CS sectors and is now a part of almost […].

Data Science 314

Data Science Statistics Machine Learning Analytics 314

O'Reilly on Data

JANUARY 10, 2023

The holidays are over, and it’s time to digest. Although I don’t subscribe to the idea that history or technology moves in jerky one-year increments, it’s still valuable to take stock, look at what’s happened, and decide what was important and what isn’t. We started the year with many people talking about an “AI winter.” A quick Google search will show that anxiety about an end to AI funding has continued through the year.

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Interactive Modeling Technology Enterprise 256

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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

David Menninger's Analyst Perspectives

JANUARY 11, 2023

I’m proud to share Ventana Research’s 2023 Market Agenda for Digital Technology. Our focus in this agenda is to deliver expertise to help organizations prioritize technology investments that improve customer, partner and workforce experiences while also increasing organizational effectiveness and agility.

Marketing 130

Marketing Technology Internet of Things Machine Learning 130

CIO Business Intelligence

JANUARY 12, 2023

First Tech Credit Union is a San Jose-based financial institution with more than $16 billion in assets. As the eighth largest in the country, it primarily serves tech companies and their employees, but still has a lot of manual processes in place. “We’re very early in our automation journey,” says Mike Upton, the organization’s digital and technology officer.

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Consulting Technology Software Reporting 145

KDnuggets

JANUARY 13, 2023

Looking to level up your SQL skills? Here's a list of the best platforms to practice SQL, ace your SQL interviews, and land your dream data role.

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Smart Data Collective

JANUARY 9, 2023

In today’s world, data is more widely available to businesses than ever before. Whether it’s data about customer demographics , product colors that tend to sell better, or which cold email scripts are the most effective, organizations have the power to utilize data to help them inform their decision-making process in a variety of ways. However, while the immense amount of data available to organizations unlocks new possibilities — it can also make cleaning organizing, interpreting, and analyzing

Machine Learning 127

Machine Learning Software Strategy Marketing 127

CIO Business Intelligence

JANUARY 13, 2023

By John Davis, Retired U.S. Army Major General and Vice President and Federal Chief Security Officer for Palo Alto Networks What critical innovations can change the balance in cybersecurity, providing those of us responsible for defending our organizations with more capabilities against those who would do us harm? This is not just a theoretical exercise.

Software 145

Software Machine Learning Behavioral Analytics IoT 145

Analytics Vidhya

JANUARY 13, 2023

This article was published as a part of the Data Science Blogathon. Introduction This is a multiclass classification project to classify the severity of road accidents into three categories. This project is based on real-world data, and the dataset is also highly imbalanced. There are three types of injuries in a target variable: minor, severe, […].

Machine Learning 361

Machine Learning Data Science Publishing Analytics 361

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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 12, 2023

Python Matplotlib Cheat Sheets • Free Data Management with Data Science Learning with CS639 • How to Select Rows and Columns in Pandas Using [ ],loc, iloc,at and.iat • Creating a Web Application to Extract Topics from Audio with Python • More Data Science Cheatsheets.

Data Science 120

Data Science Management 120

Smart Data Collective

JANUARY 10, 2023

IoT solutions as well as Business Intelligence tools are widely used by companies all over the world to improve their processes. But what if we combine these technologies? Will it make sense? There can’t be other answers apart from “Yes”. In this article, we offer you to have a look at how it can be done and provide you with step-by-step instructions.

IoT 116

IoT Business Intelligence Visualization Internet of Things 116

CIO Business Intelligence

JANUARY 9, 2023

Three years ago, IT leaders were squarely focused on how to adopt fledgling AI techniques and approaches into their business models in service of digital transformations that included plans for shifting some workloads to the cloud. But then the pandemic hit, requiring a historic pivot that set some best-laid plans aside and accelerated others. Now that organizations have returned to a new (somewhat) normal, CIOs appear to be focused on getting back to basics — and untangling tech debt incurred i

IT 145

IT Uncertainty Cost-Benefit Digital Transformation 145

Analytics Vidhya

JANUARY 11, 2023

Introduction Amazon Elastic MapReduce (EMR) is a fully managed service that makes it easy to process large amounts of data using the popular open-source framework Apache Hadoop. EMR enables you to run petabyte-scale data warehouses and analytics workloads using the Apache Spark, Presto, and Hadoop ecosystems. Amazon Elastic MapReduce (EMR) is designed to be flexible […].

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Data Warehouse Management Analytics IT 331

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 12, 2023

Bad data costs organizations money, reputation, and time. Hence it is very important to monitor and validate data quality continuously.

Data Quality 132

Data Quality IT 132

Smart Data Collective

JANUARY 10, 2023

More small businesses are leveraging big data technology these days. One of the many reasons that they use big data is to improve their SEO. Data-driven SEO is going to be even more important as the economy continues to stagnate. Some economists argue that the yield curve is providing false recession warnings , but there is still a high risk that a recession will occur.

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Data-driven Data mining Big Data Optimization 110

CIO Business Intelligence

JANUARY 11, 2023

Welcome to 2023. As the new year arrives, CIOs are facing a challenging to-do list as they strive to maximize IT productivity and efficiency in increasingly unpredictable times. As technology projects, budgets, and staffing grew over the past few years, the focus was on speed to market to maximize opportunity, says Troy Gibson, CIO services leader at business and IT advisory firm Centric Consulting.

Digital Transformation 145

Digital Transformation Cost-Benefit Consulting Enterprise 145

Analytics Vidhya

JANUARY 9, 2023

This article was published as a part of the Data Science Blogathon. Introduction Source: [link] Imagine you’re a member of an elite team of experts tasked with understanding and communicating with a group of alien robots. These robots have landed on Earth and are causing destruction and chaos, and it’s up to you to fathom […]. The post Top 11 Interview Questions About Transformer Networks appeared first on Analytics Vidhya.

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Data Science Publishing Analytics IT 334

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

KDnuggets

JANUARY 9, 2023

Unit testing is an important part of the software development life cycle as it helps to ensure that code is correct and working as intended. This article aims to introduce the concept of unit testing in Python and provide a basic tutorial on how to write and run unit tests using a unittest module.

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Testing Software IT 108

Smart Data Collective

JANUARY 11, 2023

The Deep Web is a concept that few people understand. Even fewer people recognize the role that big data plays in shaping it. However, one thing is certain: advances in big data technology have played a huge role in driving changes in the deep web. It is a good idea for database developers, programmers, online businesses and other Internet technology professionals to learn about the impact that new developments in big data have had on both the surface web and deep web.

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Big Data Insurance Data Science Technology 109

CIO Business Intelligence

JANUARY 12, 2023

“Land never deceives” is a common slogan of farmers around Africa. Many people go into farming entirely, or as a side endeavor, with a high certainty they’ll make money and produce more good for all. And when technology is added to the mix, opportunities multiply. Having the largest area of uncultivated arable land in the world, sub-Saharan Africa, with a young population—nearly 60% is under 25—and a wealth of natural resources, has unparalleled advantages that could double or even triple its cu

IoT 143

IoT Consulting Internet of Things Technology 143

Analytics Vidhya

JANUARY 8, 2023

Hey, are you the data science geek who spends hours coding, learning a new language, or just exploring new avenues of data science? If all of these describe you, then this Blogathon announcement is for you! Analytics Vidhya is back with its 28th Edition of blogathon, a place where you can share your knowledge about […]. The post Data Science Blogathon 28th Edition appeared first on Analytics Vidhya.

Data Science 310

Data Science Analytics Deep Learning IT 310

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

KDnuggets

JANUARY 12, 2023

What is the Google Data Analytics Certification? And, more importantly, is it still worth getting it in 2023?

Data Analytics 134

Data Analytics Analytics IT Data Science 134

Smart Data Collective

JANUARY 11, 2023

Many businesses are taking advantage of big data to improve their marketing and financial management practices. Businesses spent over $14.2 billion on big data marketing in 2020 and this figure is likely to grow further in the years to come. Some of the case studies on the benefits of data-driven marketing are quite promising. One tourist company utilized data analytics to boost website conversions by 40%.

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Data-driven Marketing Advertising Big Data 105

CIO Business Intelligence

JANUARY 13, 2023

Diversity and inclusion (D&I) have become necessary missions for most businesses. Research has long shown that diverse teams are more productive , more engaged, and the companies that create them are more profitable. And the murder of George Floyd — and the social unrest that followed — made it clear that taking a stand around social justice is necessary to recruitment, retention, and even the viability of your brand.

Measurement 140

Measurement Reporting Management Data Processing 140

Analytics Vidhya

JANUARY 9, 2023

This article was published as a part of the Data Science Blogathon. Introduction Machine learning (ML) has become an increasingly important tool for organizations of all sizes, providing the ability to analyze large amounts of data and make predictions or decisions based on the insights gained. However, developing and deploying machine learning models can be […].

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Modeling Machine Learning Data Science Publishing 306

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

Dataiku

JANUARY 12, 2023

Not long ago, just having a data science team allowed executives to say they were "doing AI," but that has changed. In the past few years, companies across industries have used machine learning (ML) and AI technologies to streamline processes and improve experiences leading to increased revenues at lower costs. These achievements have made advanced analytics and AI an essential technology, and IT leaders are taking AI projects into mainstream IT programs at scale.

Machine Learning 98

Machine Learning Data Science Technology Analytics 98

Smart Data Collective

JANUARY 10, 2023

Data analytics technology has led to a number of impressive changes in the financial industry. A growing number of financial professionals are investing in data analytics technology to provide better service to their customers. The market for financial data in the United States alone is projected to be worth over $20.8 billion by the end of this year.

Finance 105

Finance Data Analytics Analytics Big Data 105

CIO Business Intelligence

JANUARY 13, 2023

In a bid to help retailers transform their in-store, inventory-checking processes and enhance their e-commerce sites, Google on Friday said that it is enhancing Google Cloud for Retailers with a new shelf-checking, AI-based capability, and updating its Discovery AI and Recommendation AI services. Shelf-checking technology for inventory at physical retail stories has been a sought-after capability since low — or no — inventory is a troubling issue for retailers.

Machine Learning 133

Machine Learning Sales Optimization Visualization 133

Analytics Vidhya

JANUARY 13, 2023

This article was published as a part of the Data Science Blogathon. Introduction Are you tired of spending hours creating detailed and realistic images from scratch? Look no further! Artificial intelligence has made tremendous progress in recent years, and one area where it has shown particular promise is in the generation of images from text descriptions. […].

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Modeling Data Science Publishing Analytics 301

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