October, 2022

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Celonis Improves Business Processes with Process Mining

David Menninger's Analyst Perspectives

As I recently pointed out, process mining has emerged as a pivotal technology for data-driven organizations to discover, monitor and improve processes through use of real-time event data, transactional data and log files. With recent advancements, process mining has become more efficient at discovering insights in complex processes using algorithms and visualizations.

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P&G turns to AI to create digital manufacturing of the future

CIO Business Intelligence

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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What We Learned Auditing Sophisticated AI for Bias

O'Reilly on Data

A recently passed law in New York City requires audits for bias in AI-based hiring systems. And for good reason. AI systems fail frequently, and bias is often to blame. A recent sampling of headlines features sociological bias in generated images , a chatbot , and a virtual rapper. These examples of denigration and stereotyping are troubling and harmful, but what happens when the same types of systems are used in more sensitive applications?

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Blockchain and Deploying Applications on Docker and Kubernetes

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Niti Ayog, one of the transforming national institutions, has published an article on Blockchain use cases in India. Few questions about Blockchain, why Blockchain, and how we can deploy our applications through the docker and Kubernetes we should know. Objectives We will discuss […].

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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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Podcast: Scaling DataOps

DataKitchen

The post Podcast: Scaling DataOps first appeared on DataKitchen.

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Easy Guide To Data Preprocessing In Python

KDnuggets

Preprocessing data for machine learning models is a core general skill for any Data Scientist or Machine Learning Engineer. Follow this guide using Pandas and Scikit-learn to improve your techniques and make sure your data leads to the best possible outcome.

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What transformational leaders too often overlook

CIO Business Intelligence

High-performing CIOs know that digital mastery depends on a strong foundation of rock-solid infrastructure, information security, enterprise data management, and sound IT governance. But for all the emphasis on cutting-edge technology for business transformation, IT infrastructure too often gets short shrift. Infrastructure, what happens behind the IT screen, and related support activities remains poorly understood, underappreciated, and mismanaged in 89% of enterprises today, according to a rec

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What Is Hyperautomation?

O'Reilly on Data

Gartner has anointed “Hyperautomation” one of the top 10 trends for 2022. Should it be? Is it a real trend, or just a collection of buzzwords? As a trend, it’s not performing well on Google; it shows little long-term growth, if any, and gets nowhere near as many searches as terms like “Observability” and “Generative Adversarial Networks.” And it’s never bubbled up far enough into our consciousness to make it into our monthly Trends piece.

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Three R Libraries for Automated EDA

Analytics Vidhya

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 […].

Big Data 398
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Do You Need a Single Map, or Several Maps?

Depict Data Studio

Here’s a counterintuitive dataviz principle: Sometimes, it’s easier to understand several small graphs than a single graph. I was recently working with an organization to visualize which states were using their software programs. States might use: Software A Software B Or, both software A and B. Before: A Single Multicolor Map. Here’s what their visualization looked like.

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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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Frameworks for Approaching the Machine Learning Process

KDnuggets

This post is a summary of 2 distinct frameworks for approaching machine learning tasks, followed by a distilled third. Do they differ considerably (or at all) from each other, or from other such processes available?

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AI Tools Make Short-Selling Possible with Algorithmic Trading

Smart Data Collective

Artificial intelligence is driving a number of changes in the financial sector. We pointed out that AI has created new opportunities for investors purchasing real estate stocks. However, it is also creating unique trading opportunities for those using nontraditional investing decisions. One of the ways that smart investors can use AI is with short-selling.

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5 top ERP trends for 2022 — and their implications for IT leaders

CIO Business Intelligence

It wouldn’t be far-fetched to call ERP (enterprise resource planning) the brain of an organization’s IT infrastructure. After all, an ERP system streamlines, standardizes, and integrates a wide range of vital business processes across diverse business functions. Implementing an ERP solution ranks among the most capex-intensive projects any IT leader will undertake.

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6 Myths About Visual Data Tools

Dataiku

This is a guest article from Lontia Nkhuwa. Nkhuwa is a product support lead and technical writer. She's the leader of PyLadies Lusaka — a support network for women in the world of Phyton. Lontia is passionate about creating content that educates, grows, and inspires leaders. In her spare time, Lontia enjoys thrifting and traveling.

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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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Top Ten YouTube Channels On Data Science

Analytics Vidhya

Introduction One of the most crucial and in-demand talents in 2022 is Data Science. To accommodate this need, more and more businesses are starting to offer boot camps while universities are creating new courses. However, tons of resources are available over the internet for free, and deciding where to go to find the best resources […]. The post Top Ten YouTube Channels On Data Science appeared first on Analytics Vidhya.

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How to Make a Not-So-Scary Starter Dashboard in Excel

Depict Data Studio

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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Sparse Matrix Representation in Python

KDnuggets

Leveraging sparse matrix representations for your data when appropriate can spare you memory storage. Have a look at the reasons why, see how to create sparse matrices in with Python, and compare the memory requirements for standard and sparse representations of the same data.

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What is Data Pipeline? A Detailed Explanation

Smart Data Collective

Big data is shaping our world in countless ways. Data powers everything we do. Exactly why, the systems have to ensure adequate, accurate and most importantly, consistent data flow between different systems. Pipeline, as it sounds, consists of several activities and tools that are used to move data from one system to another using the same method of data processing and storage.

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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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The CIO as chief integration (and influence) officer

CIO Business Intelligence

IT leaders hold a powerful position at Owens Corning. CIO Steve Zerby not only has a seat at the table, but he’s driving business strategy at the manufacturing company thanks to his panoptic view of the centralized yet global organization. He’s able to spot synergies in supply chain processes that could create efficiencies, and connect leaders in high-performing geographies with lower-performing regions that could benefit from their perspective — even if they’re not in the same business division

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ClearScape Analytics: Delivering Value Across the Modern Enterprise

Teradata

ClearScape Analytics provides robust functionality giving people across the organization the ability to efficiently execute their roles in the analytics process on a common platform.

Analytics 105
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An Overview of Graph Machine Learning and Its Working

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Graph machine learning is quickly gaining attention for its enormous potential and ability to perform extremely well on non-traditional tasks. Active research is being done in this area (being touted by some as a new frontier of machine learning), and open-source libraries […].

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Stop Using Tiny, Grainy Photos in PowerPoint!!!

Depict Data Studio

It’s not 1995. Last week, I was leading a post-conference workshop with CQI professionals in California. You can learn more about their annual conferences here. An attendee asked about best practices for adding photographs to our PowerPoint presentations. Before. Let’s pretend that you’re giving a presentation about young children and physical fitness.

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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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How to Build a Data Science Enablement Team: A Complete Guide

KDnuggets

A Data Science Enablement Team consists of people from various departments like marketing, sales, product development, etc. They are responsible for providing the necessary tools and resources to help the data scientists do their job more efficiently.

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Cloud Technology Helps Students Earn Higher SAT Scores

Smart Data Collective

Cloud technology is changing some of the most core aspects of our lives. A growing number of students are finding ways to leverage the cloud to improve their learning experience. Education Technology Magazine has published an article on some of the most surprising ways that cloud technology is changing academia. Most of their focus was on their focus has been on the benefits of using cloud technology from the standpoint of educators.

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What is transformational leadership? A model for motivating innovation

CIO Business Intelligence

What is transformational leadership? The transformational leadership approach encourages, inspires, and motivates employees to innovate and create the change necessary to shape the future success of the company. This is accomplished by setting an example at the executive level through authenticity, a strong sense of corporate culture, employee ownership, and independence in the workplace.

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What’s the Pharmaverse, and How Do Data Science Innovators Use It to Streamline Drug Approvals?

Domino Data Lab

When it comes to the pharmaceutical industries, machine learning, AI, and statistical computing environments (SCEs) often receive the lion’s share of media attention and seize the popular imagination in coverage that focuses mostly on technology aimed at finding interesting chemical candidates for the next breakthrough cure. But there’s a second, far more rarely covered role of data science in the quest for new cures, one that Andy Nicholls, GSK’s senior director and head of statistical data sci

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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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Data Science Tools for Vaccine Design and Development

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Biopharmaceutical Industries are the fastest growing industries after considering the basic need for the healthy life of humans and animals. Based on the available literature, the author has identified six major thrust areas of the Biopharmaceutical industry, which has summarized in the […].

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The Data Warehouse is Dead, Long Live the Data Warehouse, Part I

Data Virtualization

Reading Time: 4 minutes “Le roi est mort, vive le roi.” This phrase—the king is dead, long live the king—marks the transfer of power from one monarch to the next. In times of potentially troublesome change, the apparent paradox and inner poetry of these. The post The Data Warehouse is Dead, Long Live the Data Warehouse, Part I appeared first on Data Virtualization blog - Data Integration and Modern Data Management Articles, Analysis and Information.

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The ABCs of NLP, From A to Z

KDnuggets

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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How Formula 1 Teams Leverage Big Data for Success

Smart Data Collective

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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Enhance Customer Value: Unleash Your Data’s Potential

The complexity of financial data, the need for real-time insight, and the demand for user-friendly visualizations can seem daunting when it comes to analytics - but there is an easier way. With Logi Symphony, we aim to turn these challenges into opportunities. Our platform empowers you to seamlessly integrate advanced data analytics, generative AI, data visualization, and pixel-perfect reporting into your applications, transforming raw data into actionable insights.