Sat.May 07, 2022 - Fri.May 13, 2022

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Create Efficient Combined Data Sources with Tableau

KDnuggets

Save time and effort with this guide, which will show you how to do data join operations in Tableau.

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Reversing the Video Using Computer Vision

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction In this article, we will be working to develop an application from computer vision techniques that will reverse the video, and also, we will be able to save that reversed video in our local system. In this application, we will also have […]. The post Reversing the Video Using Computer Vision appeared first on Analytics Vidhya.

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13 Essential Data Visualization Techniques, Concepts & Methods To Improve Your Business – Fast

datapine

“By visualizing information, we turn it into a landscape that you can explore with your eyes. A sort of information map. And when you’re lost in information, an information map is kind of useful.” – David McCandless. Did you know? 90% of the information transmitted to the brain is visual. Concerning professional growth, development, and evolution, using data-driven insights to formulate actionable strategies and implement valuable initiatives is essential.

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8 business concepts IT leaders should master

CIO Business Intelligence

CIOs know they must be business leaders, but the business knowledge they must bring to the proverbial table is something of a moving target. There are, of course, the management fundamentals and the longstanding executive skills that remain constant must-haves. But there are, too, a list of topics that bubble up and dominate based on current trends and present-day realities.

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15 Modern Use Cases for Enterprise Business Intelligence

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?

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Centroid Initialization Methods for k-means Clustering

KDnuggets

This article is the first in a series of articles looking at the different aspects of k-means clustering, beginning with a discussion on centroid initialization.

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IPL Team Win Prediction Project Using Machine Learning

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Machine Learning and Data Science are one of the fastest-growing technological fields. This field results in amazing changes in the medical field, production, robotics etc. The main reason for the advancement in this field is the increase in the computational power and […].

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CIOs look to foster innovative IT cultures, post-COVID

CIO Business Intelligence

Asked to define innovation today, most IT leaders will agree: It’s all about digitization and finding new and better ways of thinking about processes and services to solve a problem. “Around here, we think of it as a stool with three legs: quality/safety, patient satisfaction, and cost efficiencies,’’ says Sam Amirfar, CIO and chief medical information officer at The Brooklyn Hospital Center.

IT 144
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Free University Data Science Resources

KDnuggets

This is a list of FREE data science resources and notes that are available online, some of which are provided by universities.

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Get to Know Apache Flume from Scratch!

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Apache Flume, a part of the Hadoop ecosystem, was developed by Cloudera. Initially, it was designed to handle log data solely, but later, it was developed to process event data. The Apache Flume tool is designed mainly for ingesting a high volume […]. The post Get to Know Apache Flume from Scratch!

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The 4 Major Applications of Blockchain Technology

Smart Data Collective

The word ‘blockchain’ is more and more in use today, especially when it comes to cryptocurrencies. However, the applications of blockchain go beyond cryptocurrency networks. Applications of blockchain technology today aren’t restricted to the financial industry either. This is as the distributed ledgers found in blockchain technology can be used across industries.

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8 Steps to Transformation at Speed & Scale – Your Guide to Deploying StratOps

📌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.

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Top 8 predictive analytics tools compared

CIO Business Intelligence

Do you want to know what the future may bring? Predictive analysis tools have an answer. Are they right? Sometimes. But sometimes can often be more than enough if the prediction can help your enterprise plan better, spend more wisely, and deliver more prescient service for your customers. What are predictive analytics tools? Predictive analytics tools blend artificial intelligence and business reporting.

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Machine Learning Key Terms, Explained

KDnuggets

Read this overview of 12 important machine learning concepts, presented in a no frills, straightforward definition style.

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Classification and Regression using AutoKeras

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction on AutoKeras Automated Machine Learning (AutoML) is a computerised way of determining the best combination of data preparation, model, and hyperparameters for a predictive modelling task. The AutoML model aims to automate all actions which require more time, such as algorithm selection, […].

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Data Analytics is Very Valuable for Companies Improving their Cultures

Smart Data Collective

Data analytics technology is rapidly becoming a more integral part of many company cultures. According to the 2021 State of Data Maturity Report, 32% of companies have formal data strategies. Although they are still the minority, this figure has risen from almost nothing under a decade ago. Data analytics serves many different purposes. We have talked at length about the benefits of using big data to improve financial management and implement more effective marketing strategies.

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Marketing Operations in 2025: A New Framework for Success

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.

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The technologist’s classic blunder

CIO Business Intelligence

Engineering types like software developers are inspired by a sense of the possibilities inherent in building things. This inspiration is forever leading them into a classic blunder that offers up hardship and regret—and an opportunity to learn a powerful lesson. Interestingly, this problem is not a technical one, but rather a mindset. . The blunder.

Software 132
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Deep Learning For Compliance Checks: What’s New?

KDnuggets

By implementing the different NLP techniques into the production processes, compliance departments can maintain detailed checks and keep up with regulator demands.

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Configure Jupyter Notebook On AWS In 2-Steps

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction on Jupyter Notebook Configuration Let’s You have a job crunching trillions of image data points to extract insights, and you don’t have sufficient storage or processing power to do it, so what will you do – Stop in the Middle or Get […]. The post Configure Jupyter Notebook On AWS In 2-Steps appeared first on Analytics Vidhya.

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Optimizing Hive on Tez Performance

Cloudera

Tuning Hive on Tez queries can never be done in a one-size-fits-all approach. The performance on queries depends on the size of the data, file types, query design, and query patterns. During performance testing, evaluate and validate configuration parameters and any SQL modifications. It is advisable to make one change at a time during performance testing of the workload, and would be best to assess the impact of tuning changes in your development and QA environments before using them in product

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Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

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.

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IBM adopts ‘Rise with SAP’ for internal ERP cloud move

CIO Business Intelligence

IBM is six months into a massive ERP modernization, moving core on-premises systems to Power servers running in its own cloud as it upgrades them from SAP’s legacy ECC software to the cloud-ready S/4HANA. IBM’s ERP transformation will be one of the largest under the “Rise with SAP” umbrella — perhaps rivaling that of Microsoft , which announced its own adoption of Rise with SAP for the first stages of its move to S/4HANA in March 2022.

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Machine Learning’s Sweet Spot: Pure Approaches in NLP and Document Analysis

KDnuggets

While it is true that Machine Learning today isn’t ready for prime time in many business cases that revolve around Document Analysis, there are indeed scenarios where a pure ML approach can be considered.

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Apache Flume: Data Collection, Aggregation & Transporting Tool

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction on Apache Flume Apache Flume is a platform for aggregating, collecting, and transporting massive volumes of log data quickly and effectively. It is very reliable and robust. Its design is simple, based on streaming data flows, and written in the Java programming […].

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Promising Benefits of AI in the Financial Technology Market

Smart Data Collective

Artificial intelligence (AI) is all the rage now. It’s impacting numerous industries globally and changing the way we do things. One of the critical industries AI is making strides in is the financial technology “fintech” industry. AI now plays a significant role in facilitating financial services, replacing what required manual work a few years ago.

Marketing 115
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The Ultimate Guide To Data-Driven Construction: Optimize Projects, Reduce Risks, & Boost Innovation

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.

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What is a customer data platform? A unified customer database

CIO Business Intelligence

Customer data platform defined. A customer data platform (CDP) is a prepackaged, unified customer database that pulls data from multiple sources to create customer profiles of structured data available to other marketing systems. Gartner defines a CDP as “a marketing technology that unifies a company’s customer data from marketing and other channels to enable customer modeling and to optimize the timing and targeting of messages and offers.”.

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Data Mesh Architecture: Reimagining Data Management

KDnuggets

The objective of data mesh is to establish coherence between data coming from different domains across an enterprise. The domains are handled autonomously to eliminate the challenges of data availability and accessibility for cross-functional teams.

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An Introduction to Long Short-Term Memory (LSTMs)

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Dealing with sequential data is considered one of the hardest problems to solve in the Data science industry. Standard neural networks have paved a new path in the rising AI industry. It worked very well with tabular data but every new invention in […]. The post An Introduction to Long Short-Term Memory (LSTMs) appeared first on Analytics Vidhya.

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Scaling Supply Chain AI to Offer Predictive Shipment Visibility

Dataiku

This blog is a guest post from our friends at Shippeo. They’re a global leader and European specialist in real-time transportation visibility, helping major shippers and logistics service providers leverage transportation to deliver exceptional customer service and achieve operational excellence.

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Launching LLM-Based Products: From Concept to Cash in 90 Days

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.

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Reskilling IT for digital success in a tight talent market

CIO Business Intelligence

There are few CIOs who haven’t been hit by attrition, as streams of highly talented IT professionals head out the door for bigger salaries, better opportunities, or both. The fact that today’s digital powerhouses are now hiring tens of thousands of employees — often without regard to geography — has only exacerbated the talent crunch for IT leaders.

Marketing 119
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5 Free Hosting Platform For Machine Learning Applications

KDnuggets

Learn about the free and easy-to-deploy hosting platform for your machine learning projects.

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A Comprehensive Guide to Time Series Analysis and Forecasting

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Source – bounteous.com Introduction Time Series Analysis and Forecasting is a very pronounced and powerful study in data science, data analytics and Artificial Intelligence. It helps us to analyse and forecast or compute the probability of an incident, based on data stored with respect to […].

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How Big Data Analytics & AI Combined can Boost Performance Immensely

Smart Data Collective

Big data, analytics, and AI all have a relationship with each other. For example, big data analytics leverages AI for enhanced data analysis. In contrast, AI needs a large amount of data to improve the decision-making process. Consumers are presented with ads every day they access the online world. The number of options available to them can sometimes really stress them out.

Big Data 111
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Data Modeling for Direct Mail: Boosting Multi-Channel Reach and Response

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.