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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Generative AI Deep Dive: Advancing from Proof of Concept to Production

Speaker: Maher Hanafi, VP of Engineering at Betterworks & Tony Karrer, CTO at Aggregage

Executive leaders and board members are pushing their teams to adopt Generative AI to gain a competitive edge, save money, and otherwise take advantage of the promise of this new era of artificial intelligence. There's no question that it is challenging to figure out where to focus and how to advance when it’s a new field that is evolving everyday. 💡 This new webinar featuring Maher Hanafi, VP of Engineering at Betterworks, will explore a practical framework to transform Generative AI pr

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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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7 ways to foster IT innovation

CIO Business Intelligence

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.

IT 145
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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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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 391
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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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Navigating the Future: Generative AI, Application Analytics, and Data

Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?

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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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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.

Modeling 144
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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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Get Better Network Graphs & Save Analysts Time

Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.

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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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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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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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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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Understanding User Needs and Satisfying Them

Speaker: Scott Sehlhorst

We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.

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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.

IT 143
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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.

Modeling 111
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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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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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Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You Need to Know

Speaker: Timothy Chan, PhD., Head of Data Science

Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? 🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.

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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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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.

Big Data 130
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Chipotle’s recipe for digital transformation: Cloud plus AI

CIO Business Intelligence

When Curt Garner became Chipotle’s first CIO in 2015, the only technology used for online restaurant ordering was, “believe it or not,” a fax machine, he says. Seven years later, the Newport Beach, Calif.-based company is piloting a system with a robotic arm dubbed “Chippy” that prepares the fast-casual chain’s famed fried salt-and-lime chips homemade every day without human labor, with the aim of tailoring output to the daily needs of each restaurant.

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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 Key to Sustainable Energy Optimization: A Data-Driven Approach for Manufacturing

Speaker: Kevin Kai Wong, President of Emergent Energy Solutions

In today's industrial landscape, the pursuit of sustainable energy optimization and decarbonization has become paramount. ♻️ Manufacturing corporations across the U.S. are facing the urgent need to align with decarbonization goals while enhancing efficiency and productivity. Unfortunately, the lack of comprehensive energy data poses a significant challenge for manufacturing managers striving to meet their targets. 📊 Join us for a practical webinar hosted by Kevin Kai Wong of Emergent Ene

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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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Diffusion Models – More than Adding Noise | Domino Data Lab

Domino Data Lab

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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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 To Keep Your Data Security Knowledge Up To Date?

Smart Data Collective

The fast-paced world of cybersecurity waits for none, and even seasoned professionals can find that years have passed them by if they take a short hiatus and stop staying up to date. Given the nature of this sector, it’s often compared with statecraft, with the constantly evolving threat matrix making it essential to stay on top of developments, and regularly upskill in order to better respond to challenges.

Risk 126
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Reimagined: Building Products with Generative AI

“Reimagined: Building Products with Generative AI” is an extensive guide for integrating generative AI into product strategy and careers featuring over 150 real-world examples, 30 case studies, and 20+ frameworks, and endorsed by over 20 leading AI and product executives, inventors, entrepreneurs, and researchers.