CIO Business Intelligence

SEPTEMBER 8, 2022

Machine learning (ML) is a commonly used term across nearly every sector of IT today. And while ML has frequently been used to make sense of big data—to improve business performance and processes and help make predictions—it has also proven priceless in other applications, including cybersecurity. This article will share reasons why ML has risen to such importance in cybersecurity, share some of the challenges of this particular application of the technology and describe the future that machine

Machine Learning 145

Machine Learning Internet of Things IoT Modeling 145

Analytics Vidhya

SEPTEMBER 6, 2022

Introduction If I have to place the finger at any lucrative and promising domains ruling the trending job market at the moment, it has to be Cloud Computing. The scope of cloud computing is only moving faster, strength by strength, and has a brighter future ahead for everyone. There is a surging need for medium […]. The post Top 7 Cloud Computing Prerequisites to Learn in 2022 appeared first on Analytics Vidhya.

Marketing 388

Marketing Analytics IT Visualization 388

KDnuggets

SEPTEMBER 5, 2022

People assume that NoSQL is a counterpart to SQL. Instead, it’s a different type of database designed for use-cases where SQL is not ideal. The differences between the two are many, although some are so crucial that they define both databases at their cores.

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datapine

SEPTEMBER 6, 2022

Table of Contents. 1) What Is Content Reporting? 2) What Is A Content Dashboard? 3) Why Is Content Report Analysis Important? 4) Content Dashboards Examples. 5) Content Reporting Best Practices. As a content manager, you most likely spend most of your time writing quality blogs, email newsletters, and social media posts, all in an effort to ensure the business is growing and achieving its goals.

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Dashboards Reporting ROI Metrics 179

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have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth.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

CIO Business Intelligence

SEPTEMBER 9, 2022

It’s difficult to visualise the true scale of AI, as it’s almost certainly more than you imagine – it’s going to contribute more to the global economy than the current GDP of India and China combined. PwC research suggests that AI could contribute as much as $15.7 trillion by 2030, and by singularly responsible for a 26 per cent boost in the GDP of local economies.

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Testing Data Processing Machine Learning Business Intelligence 144

Analytics Vidhya

SEPTEMBER 4, 2022

This article was published as a part of the Data Science Blogathon. Introduction I’ve always wondered how big companies like Google process their information or how companies like Netflix can perform searches in concise times. That’s why I want to tell you about my experience with two powerful tools they use: Apache Hive and Elasticsearch. […].

Data Science 398

Data Science Publishing Analytics Big Data 398

Smart Data Collective

SEPTEMBER 9, 2022

Data-driven ecommerce companies have a strong advantage over their competitors. As we stated before, data-driven marketing strategies are extremely valuable for ecommerce companies. What kind of ROI can big data offer for the ecommerce sector? One study showed that big data helps companies in all sectors increase profitability by 60%. Ecommerce companies can increase their profit margins even more by investing in big data, because they have access to more digital information that they can use to

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CIO Business Intelligence

SEPTEMBER 9, 2022

Human resources has long understood that money is an inadequate motivator. We know that because workers don’t simply operate according to market conditions, always favoring more money above all else. Instead, people are looking for something more ephemeral, which we’ll call meaning. . Developers are also looking for meaning, the sense that their work has purpose, but they have unique ways of finding it that may not always obvious.

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Analytics Vidhya

SEPTEMBER 6, 2022

Fellow Data Science Enthusiasts, The only way to move forward in your career ladder is by learning and unlearning. And the best way to do that is by adding some new skills to your CV. And Analytics Vidhya comes forward to help you with this. With the new learning topics, get ready to brush up […]. The post The DataHour: Your Upcoming Data Science Learnings!

Data Science 378

Data Science Analytics Machine Learning 378

KDnuggets

SEPTEMBER 8, 2022

Learn everything you need to know about data lakehouses.

Data Science 157

Data Science 157

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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

Smart Data Collective

SEPTEMBER 7, 2022

Data mining technology has led to some important breakthroughs in modern marketing. Even major companies like HubSpot have talked extensively about the benefits of using data mining for marketing. One of the most important ways that companies can use data mining in their marketing strategies is with SEO. Data mining is especially useful in the context of offsite SEO.

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Data mining Strategy Marketing Optimization 139

CIO Business Intelligence

SEPTEMBER 8, 2022

Most organizations understand the profound impact that data is having on modern business. In Foundry’s 2022 Data & Analytics Study , 88% of IT decision-makers agree that data collection and analysis have the potential to fundamentally change their business models over the next three years. The ability to pivot quickly to address rapidly changing customer or market demands is driving the need for real-time data.

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Analytics Vidhya

SEPTEMBER 3, 2022

This article was published as a part of the Data Science Blogathon. Introduction In this article, we will learn about machine learning using Spark. Our previous articles discussed Spark databases, installation, and working of Spark in Python. If you haven’t read it yet, here is the link. In this article, we will mainly talk about […]. The post Machine learning Pipeline in Pyspark appeared first on Analytics Vidhya.

Machine Learning 370

Machine Learning Data Science Publishing Analytics 370

KDnuggets

SEPTEMBER 6, 2022

Defining model evaluation metrics is crucial in ensuring that the model performs precisely for the purpose it is built. Confusion Matrix is one of the most popular and effective tools to evaluate the performance of the trained ML model. In this post, you will learn how to visualize the confusion matrix and interpret its output.

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Visualization Metrics Modeling IT 149

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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

Smart Data Collective

SEPTEMBER 5, 2022

Data science is a very complex field that requires the insights of professionals from many different disciplines. One of the fields of professionals that are so important for data science projects are Python developers. What is the Python programming language? Why is it so important in the data science profession ? What Is Python? Python is a powerful programming language that is widely used in many different industries today.

Data Science 137

Data Science Big Data Software Data Analytics 137

Cloudera

SEPTEMBER 7, 2022

We are now well into 2022 and the megatrends that drove the last decade in data — The Apache Software Foundation as a primary innovation vehicle for big data, the arrival of cloud computing, and the debut of cheap distributed storage — have now converged and offer clear patterns for competitive advantage for vendors and value for customers. Cloudera has been parlaying those patterns into clear wins for the community at large and, more importantly, streamlining the benefits of that innovation to

Big Data 118

Big Data Software Enterprise Digital Transformation 118

Analytics Vidhya

SEPTEMBER 4, 2022

This article was published as a part of the Data Science Blogathon. Introduction Applications in Azure run on compute services, which determine how they are performed and allow cloud-based applications to be run on-demand. Resources are available on request within a few minutes or seconds, and you only pay for what you use. We will […]. The post Compute Services Available on Microsoft Azure appeared first on Analytics Vidhya.

Data Science 359

Data Science Publishing Analytics 359

KDnuggets

SEPTEMBER 7, 2022

This post explains why and when you need machine learning and concludes by listing the key considerations for choosing the correct machine learning algorithm.

Machine Learning 143

Machine Learning 143

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

Smart Data Collective

SEPTEMBER 9, 2022

It’s probably impossible to run a business without receiving at least a few support tickets. But if your firm is constantly overwhelmed by so many tickets that it feels like you’re drowning, that’s not normal. There are ways to reduce the number of IT support tickets you receive and bring them down to a normal level. Here’s how. The Importance of Reducing Support Ticket Volume.

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CIO Business Intelligence

SEPTEMBER 6, 2022

Business is business and IT is IT and never the twain shall meet. At least that’s the way it too often seems when a CIO attempts to show business management how a technology initiative can lead to tangible benefits. Helping enterprise business leaders, C-suite colleagues, and boards understand the value inherent in complex new technologies is a challenge most CIOs face from time to time.

IT 116

IT Cost-Benefit Enterprise Strategy 116

Analytics Vidhya

SEPTEMBER 3, 2022

This article was published as a part of the Data Science Blogathon. Introduction The cloud trend has gained tremendous importance in the technology industry and the field of science in recent years. The most important aspect of cloud computing is the on-demand application delivery paradigm from the cloud customer’s perspective. As a result, cloud services […].

IT 357

IT Data Science Publishing Technology 357

KDnuggets

SEPTEMBER 9, 2022

Putting the fun in fundamentals! A collection of short videos to amuse beginners and experts alike.

Machine Learning 139

Machine Learning 139

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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

Smart Data Collective

SEPTEMBER 8, 2022

Analytics technology is having a huge impact on many aspects of modern business. One of the most important applications of analytics is with improving the user experience. User experience is a key part of building a successful mobile app. You cannot build a successful business with your app if it doesn’t offer a smooth experience to users. So, what are the factors that contribute to your app’s user experience?

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CIO Business Intelligence

SEPTEMBER 8, 2022

The headlines read “Artificial Intelligence (AI) will completely transform your business.” But does the hype match the reality? We have been seeing these exclamations for two decades, but where are the examples? Where are the success stories? Is AI really a game changer, and does it actually apply to my business? Every ten years it seems there is a new technology that is going to change the world, but all too often only leads to disappointment when adopting it becomes too challenging.

Machine Learning 115

Machine Learning Cost-Benefit Data-driven Data Warehouse 115

Analytics Vidhya

SEPTEMBER 3, 2022

This article was published as a part of the Data Science Blogathon. Introduction In the Big Data space, companies like Amazon, Twitter, Facebook, Google, etc., collect terabytes and petabytes of user data that must be handled efficiently. It is seen that RDBMS(Relational DataBase Management System) does not offer an optimal solution for handling huge volumes […].

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Big Data Data Science Publishing Optimization 348

KDnuggets

SEPTEMBER 6, 2022

Here’s everything you need to know about A/B testing interview questions in data science interviews.

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Testing Data Science 136

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

Smart Data Collective

SEPTEMBER 5, 2022

Not unless you live in the most remote part of this world or somewhere underground, chances are that you have heard something about Artificial Intelligence (AI). But how does AI technology help eCommerce brands optimize for mobile? Artificial Intelligence is becoming a big part of how different industries operate. The popularity of smart devices, security checks, research in the healthcare industry, and self-checkout registers are just a few examples of areas where AI is prominent.

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Optimization Technology Interactive Marketing 123

Cloudera

SEPTEMBER 9, 2022

The promise of a modern data lakehouse architecture. Imagine having self-service access to all business data, anywhere it may be, and being able to explore it all at once. Imagine quickly answering burning business questions nearly instantly, without waiting for data to be found, shared, and ingested. Imagine independently discovering rich new business insights from both structured and unstructured data working together, without having to beg for data sets to be made available.

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Metadata Machine Learning Unstructured Data Data Lake 108

Analytics Vidhya

SEPTEMBER 3, 2022

This article was published as a part of the Data Science Blogathon. Introduction If you are a beginner or have little time, configuring the environment for your application may be too complicated and time-consuming. You need to consider monitoring, logs, security groups, VMs, backups, etc. You can make a mistake that compromises your application and […].

IT 346

IT Data Science Publishing Analytics 346

KDnuggets

SEPTEMBER 7, 2022

In this how-to, we’ll build a model to uncover which paths in user journeys have the biggest impact on product goals (e.g. conversion). You can use it to improve products or optimize marketing campaigns, or as a base for deeper user behavior analyses.

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Modeling Optimization Marketing IT 131

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