Sat.Oct 15, 2022 - Fri.Oct 21, 2022

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3 ways to deter phishing attacks in 2023

CIO Business Intelligence

Retailers are not the only people looking forward to the holiday season. It will be a busy time for scammers and fraudsters too as they send out coupons, deals and offers to consumers, and even thank-you vouchers to employees, purporting to come from organizations and brands they trust. In fact, CIO has reported that it takes only a few minutes for experienced hackers to set up a social engineering attack against enterprises (and their managed service providers) that consider themselves to be se

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Natural Language Processing to Detect Spam Messages

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Most existing research on Twitter spam focuses on account blocking or identifying and blocking spam users or spammers. To detect spam users, we can use traditional machine learning algorithms that use information from users’ tweets, demographics, shared URLs, and social connections as features. […].

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MLOps: A Disciplined Approach That Increases Organizational Agility

David Menninger's Analyst Perspectives

Artificial intelligence and machine learning are valuable to data and analytics activities. Our research shows that organizations using AI/ML report gaining competitive advantage, improving customer experiences, responding faster to opportunities and threats and improving the bottom line with increased sales and lower costs. No wonder nearly 9 in 10 (87%) research participants report using AI/ML or planning to do so.

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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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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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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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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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Working With Sparse Features In Machine Learning Models

KDnuggets

Sparse features can cause problems like overfitting and suboptimal results in learning models, and understanding why this happens is crucial when developing models. Multiple methods, including dimensionality reduction, are available to overcome issues due to sparse features.

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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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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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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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7 Free Platforms for Building a Strong Data Science Portfolio

KDnuggets

Outshine others and increase your odds of getting hired by maintaining a data science portfolio with projects, resumes, blogs, and reports.

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Reimagining the new future of work: The CXO’s transformation conundrum

CIO Business Intelligence

However we may have defined the “future of work” before 2020, our new reality has advanced technology investments, inspired new operational models, and changed how we work. While the rapid shift to a digital-first world powered by remote work proved mostly successful, some organizations are vying to put the genie back in the bottle by bringing employees back to the office.

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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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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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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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A Data Science Portfolio That Will Land You The Job in 2022

KDnuggets

Check out this article on crafting a data science portfolio that will get you that job. And learn 4 resume mistakes to avoid at any cost.

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Texas Rangers data transformation modernizes stadium operations

CIO Business Intelligence

In 2016, Major League Baseball’s Texas Rangers announced it would build a brand-new state-of-the-art stadium in Arlington, Texas. It wasn’t just a new venue for the team, it was an opportunity to reimagine business operations. The old stadium, which opened in 1992, provided the business operations team with data, but that data came from disparate sources, many of which were not consistently updated.

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Top 9 Most Frequently Asked Interview Questions on SVM

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Support vector machine is one of the most famous and decorated machine learning algorithms in classification problems. The heart and soul of this algorithm is the concept of Hyperplanes where these planes help to categorize the high dimensional data which are either […].

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Email Marketers Use Data Analytics for Optimal Customer Segmentation

Smart Data Collective

Email marketing is widespread, with 333.2 billion emails exchanged every day. How can you ensure Outlook recipients open your bulk emails with severe competition? Email marketing is the most acceptable way to give precise customer data, but you must guarantee your efforts aren’t wasted. Using data analytics help your email marketing strategies succeed.

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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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5 Free Courses to Master Calculus

KDnuggets

Calculus is one of the foundational pillars of understanding the mathematics behind machine learning algorithms. The post shares five free courses to help you master calculus and learn its real-world applications.

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What is ESG? Environmental, social, and governance commitment explained

CIO Business Intelligence

What is ESG and why is it important? Environmental, social, and corporate governance (ESG) is a strategic framework for identifying, assessing, and addressing organizational objectives and activities ranging from the company’s carbon footprint and commitment to sustainability, to its workplace culture and commitment to diversity and inclusion , to its overall ethos regarding corporate risks and practices.

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COVID-19 Diagnosis with Cough Audio Analysis

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Cough Audio analysis, one of the breakthroughs of AI in healthcare, often proves valuable in diagnosing respiratory and lung diseases. COVID-19 (Coronavirus Disease 2019) has had devastating effects on humanity, making early detection in patients imperative for its treatment.

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How to Make Sure Your IoT Systems Stay Compliant

Smart Data Collective

IoT plays a significant role in information technology, yet the pace of deployments has outpaced the awareness of compliance issues. IT professionals must work hard to stay ahead of the curve, especially if they plan to integrate IoT in various facets of their operations. Compliance requirements vary across industries. However, every organization should at least apply compliance to some aspects of its operations.

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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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KDnuggets Top Posts for September 2022: Free Python for Data Science Course

KDnuggets

Free Python for Data Science Course • 7 Machine Learning Portfolio Projects to Boost the Resume • Free Algorithms in Python Course • How to Select Rows and Columns in Pandas • 5 Data Science Skills That Pay & 5 That Don't • Everything You’ve Ever Wanted to Know About Machine Learning • Free SQL and Database Course • 7 Data Analytics Interview Questions & Answers.

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What is the CIO’s role today? Redefining transformational IT leadership

CIO Business Intelligence

When your children, friends, or acquaintances, ask what you do for a living, how do you, a CIO, answer them? “I am the future of our business” sounds a bit megalomaniacal, and “I manage the technology function” does not begin to do justice to the impact of your work. Since my team and I spend all day every day helping companies define their technology leadership needs, I have a vested interest in creating some clarity around the CIO role.

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FILM Model: Scale-Agnostic NN Architecture for Creating High-Quality Slow-Motion Videos

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Source: Canva Introduction The GoogleAI researchers presented a frame interpolation algorithm synthesising a sharp slow-motion video […]. The post FILM Model: Scale-Agnostic NN Architecture for Creating High-Quality Slow-Motion Videos appeared first on Analytics Vidhya.

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Can Integrating Kronos Resolve Concerns About Bias in AI Development

Smart Data Collective

Artificial Intelligence is the new age blessing in disguise, especially when understanding complex data for the company’s benefit. Unfortunately, there have been complaints about AI’s bias. In most cases, the bias manifests as a technical glitch, but it is an oversight by the algorithm feed and society. These ultimately affect what AI portrays depending on who is using the software.

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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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Implementing Adaboost in Scikit-learn

KDnuggets

It is called Adaptive Boosting due to the fact that the weights are re-assigned to each instance, with higher weights being assigned to instances that are not correctly classified - therefore it ‘adapts’.

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Driving a culture of innovation at Merchants Fleet

CIO Business Intelligence

For the past 60 years, privately-owned Merchants Fleet has provided fleet management and leasing solutions to a broad range of businesses, governments, and educational institutions. And according to Jeanine Charlton, the company’s SVP and chief technology and digital officer, 2021 was their best year ever, helped in large part to its approach to digital transformation and an emphasis on organizational culture.

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How AI Can Improve Your Life In The Next 5 Years?

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Artificial intelligence is one of the most talked-about technologies in recent years. It has been a hot topic for many tech companies, investors, and entrepreneurs who are trying to find ways to use it to improve their businesses or lives. However, not […]. The post How AI Can Improve Your Life In The Next 5 Years?

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Comparing DynamoDB and MongoDB for Big Data Management

Smart Data Collective

A growing number of companies are discovering the benefits of investing in big data technology. Companies around the world spent over $160 billion on big data technology last year and that figure is projected to grow 11% a year for the foreseeable future. Unfortunately, big data technology is not without its challenges. One of the problems companies face is trying to setup a database that will be able to handle the large quantity of data that they need to manage.

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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.