Sat.May 28, 2022 - Fri.Jun 03, 2022

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Machine Learning Approach to Forecast Cars’ Demand

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction on Machine Learning Last month, I participated in a Machine learning approach Hackathon hosted on Analytics Vidhya’s Datahack platform. Over a weekend, more than 600 participants competed to build and improve their solutions and climb the leaderboard. In this article, I will […].

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DataOps Mission Control And Managing Your Data Infrastructure Risk

DataKitchen

DataOps Mission Control. Data Teams can’t answer very basic questions about the many, many pipelines they have in production and in development. For example: Data. Is there a troublesome pipeline (lots of errors, intermittent errors)? Did my source files/data arrive on time? Is the data in the report I am looking at “fresh”? Is my output data the right quality?

Risk 130
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Top Posts May 23-29: The Complete Collection of Data Science Books – Part 2

KDnuggets

Also: Decision Tree Algorithm, Explained; Data Science Projects That Will Land You The Job in 2022; The 6 Python Machine Learning Tools Every Data Scientist Should Know About; Naïve Bayes Algorithm: Everything You Need to Know.

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12 Cloud Computing Risks & Challenges Businesses Are Facing In These Days

datapine

Table of Contents. 1) What Is Cloud Computing? 2) The Challenges Of Cloud Computing. 3) Cloud Computing Benefits. 4) The Future Of Cloud Computing. Everywhere you turn these days, “the cloud” is being talked about. It’s a hot topic, and as technologies continue to evolve at a rapid pace, the scope of the cloud continues to expand. Yes, this ambiguous term seems to encompass almost everything about us.

Risk 237
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Optimizing The Modern Developer Experience with Coder

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have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth.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

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Use of Date and Time Functions in SQL Server

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction on SQL Server Before going to our main concept, we must first learn about what are functions and then study the details of scalar functions in SQL Server. Function in SQL Server is a set of T-SQL statements that are used to […]. The post Use of Date and Time Functions in SQL Server appeared first on Analytics Vidhya.

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AI, predictive analytics top list of hot technologies for banks

CIO Business Intelligence

Artificial intelligence , machine learning (a subset of AI), and predictive analytics top the list of hot, planned technology investments for banks in 2022, due to their ability to aid strategic business decision-making, help build applications that can serve customers in a personalized manner, and drive revenue growth, according to market research firm Forrester.

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How Data Storytelling Can Build Better Customer Connections

Juice Analytics

“Like a good neighbor, State Farm is there.”. The State Farm tagline — like so many advertisements — does more than connect with new customers. It also wants to convince existing customers that they made the right decision in choosing State Farm for their insurance. The same is true about delivering data to your customers. Reporting is more than a feature of your product, it is an opportunity to remind customers of the value your solution provides.

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The DataHour: How to Transition into Data Science?

Analytics Vidhya

Dear Readers, I appreciate you coming onto our platform and expanding your knowledge. I am sure, by now, some of you must be interested to make a transition into the Data Science industry as it’s one of the most host-selling jobs (if we can put it that way :D). So, this DataHour session is dedicated […]. The post The DataHour: How to Transition into Data Science?

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AI in the cloud pays dividends for Liberty Mutual

CIO Business Intelligence

Liberty Mutual is one of the most experienced and advanced cloud adopters in the nation. And that is in no small part thanks to the vision of James McGlennon, who in his role as CIO of Liberty Mutual for past 17 years has led the charge to the cloud, analytics, and AI with a budget north of $2 billion. Eight years ago, McGlennon hosted an off-site think tank with his staff and came up with a “technology manifesto document” that defined in those early days the importance of exploiting cloud-based

Insurance 143
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21 Cheat Sheets for Data Science Interviews

KDnuggets

This article has researched and presents the best data science cheat sheets from around the internet, so you don’t have to do it yourself.

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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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Why Are Organizations Focusing on Data Security?

Smart Data Collective

Data breaches are becoming more common than ever. The International Association of Privacy Professionals reports that there were 1,862 data breaches in 2021 alone. This figure is growing by the year. Organizations must make data security a top priority. Those that do not risk bankruptcy, as the costs of data breaches are horrifying. Rising Data Breaches Have Made Greater Data Security a Necessity.

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An End-to-end Guide on Anomaly Detection

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Anomaly is something that is not normal. Any data point which is placed at a distance from all normal data points is an anomaly. Hence anomalies are also called outliers. Anomaly detection is also called as deviation detection because anomalous objects have […]. The post An End-to-end Guide on Anomaly Detection appeared first on Analytics Vidhya.

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When every experience matters, we find the true cost of poor quality

CIO Business Intelligence

Every CIO understands that when it comes to the technical performance of your company and protecting the reputation of your brand, the buck stops with you. In an age where every brand is considered a digital brand because the customer’s main touchpoint is a mobile application, the CIO is the head of product and Chief Marketing Officer at the same time.

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Top 18 Data Science Groups on LinkedIn

KDnuggets

Join the best data science professional groups on LinkedIn to share insights and experiences, ask for guidance, and build valuable connections.

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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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Data Activation for Beginners: Everything You Need to Know

Smart Data Collective

Big data technology is having a huge impact on the state of modern business. The technology surrounding big data has evolved significantly in recent years, which means that smart businesses will have to take steps to keep up with it. One of the biggest breakthroughs for data-driven businesses has been the development of data activation. What is Data Activation?

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Use a Load Balancer on Google Cloud to Host Web Applications

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction What is a Load Balancer, and why do we need it? Load Balancer is a must component when we want to scale our systems horizontally. Horizontal scaling means the addition of extra servers and machines to the existing infrastructure so that it […]. The post Use a Load Balancer on Google Cloud to Host Web Applications appeared first on Analytics Vidhya.

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Making the most of MLOps

CIO Business Intelligence

When companies first start deploying artificial intelligence and building machine learning projects, the focus tends to be on theory. Is there a model that can provide the necessary results? How can it be built? How can it be trained? But the tools that data scientists use to create these proofs of concept often don’t translate well into production systems.

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Five Signs of an Effective Data Science Manager

KDnuggets

In this article, we will go beyond the theoretical realm of what a data science manager does and focus more on how to become an “effective” data science manager.

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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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How Data Analytics can Help you Bolster Your Career Performance?

Smart Data Collective

What is data analytics? One of the most buzzing terminologies of this decade has got to be “data analytics.” Companies generate unlimited data every day, and there is no end to the data collected over time. This content can be in the form of log content, transactional content, social media data, and customer—related data. . Companies need all of this data in a structured manner to improve their decision—making capabilities.

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Modin: Expedite Your Pandas Code with Single Change

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction to Pandas Pandas is a python library that needs no introduction. Pandas provide an easier way to do preprocessing and analysis on our data. However, if we are working on a larger data, pandas takes too much time for data preprocessing. The […]. The post Modin: Expedite Your Pandas Code with Single Change appeared first on Analytics Vidhya.

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GREEN500 Supercomputer Powering Robot Scientists and Transformational Machine Learning

CIO Business Intelligence

England’s University of Cambridge was recognized at the ISC 2022 event in Hamburg, Germany for its Dell-based Wilkes-3 supercomputer, rated 8 in the GREEN500 and 304 in the TOP500, and Cumulus system, rated 94 in the GREEN500 and 316 in the TOP500. Wilkes-3 and the Cumulus system run in an open stack, cloud-native interface which increases flexibility to allow different stakeholders to have customized experiences within that environment.

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9 Great Reasons to Join the DataRobot AI Experience Virtual Event Jun 7-8

DataRobot Blog

Join DataRobot and leading organizations June 7 and 8 at DataRobot AI Experience 2022 (AIX) , a unique virtual event that will help you rapidly unlock the power of AI for your most strategic business initiatives. Showcasing the industry’s most innovative use of AI, this global event offers you the opportunity to learn from DataRobot data scientists—as well as AI pioneers from retailers like Shiseido Japan Co., Ltd., financial services and healthcare leaders, and the McLaren Formula 1 Team.

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The Cloud Development Environment Adoption Report

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.

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3 Agile Software Development Practices to Create AI Applications

Smart Data Collective

Artificial intelligence technology is becoming more important with each passing day. Companies in every industry from finance to manufacturing to hospitality are investing in AI to improve their business models. Companies around the world are projected to spend nearly $1.6 trillion on AI by 2030 , as they discover the countless benefits it offers. Software developers are taking advantage of the sudden booming market for AI.

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Bet Wisely: Predicting the Scoreline of a Football Match using Poisson Distribution

Analytics Vidhya

“The biggest religion in the world is not even a religion.” – Fernando Torres Spanish footballing giant Sevilla FC together with FC Bengaluru United, one of India’s most exciting football teams have launched a Football Hackathon – Data-Driven Player Performance Assessment. This Hackathon will be a unique opportunity to effectively use data science in […].

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3 Ways to Simplify Data Management

CIO Business Intelligence

If you’re like many of the customers I encounter, one thing is clear – data is the lifeforce that drives your business. Yet, the reality is that only a small percentage of businesses are out in front when it comes to being data-first. It’s an urgent directive for IT organizations, with the opportunity for positive outcomes if you’re prepared to take action now.

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KDnuggets Top Posts for April 2022: 15 Python Coding Interview Questions You Must Know For Data Science

KDnuggets

Also: Python Libraries Data Scientists Should Know in 2022; The Complete Collection Of Data Repositories - Part 1; Top YouTube Channels for Learning Data Science; 7 Steps to Mastering SQL for Data Science; A Brief Introduction to Papers With Code.

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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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Cloud Automation Drives the Trend of E-Procurement Technology

Smart Data Collective

Cloud technology is becoming an increasingly important part of modern business. Global companies are projected to spend around $495 billion on cloud services this year. One of the biggest reasons cloud technology is becoming important is that it is helping companies make e-procurement possible. Cloud Automation Helps. Many offices have started taking their business practices remote and operating online.

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Handling Imbalanced Data with Imbalance-Learn in Python

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Almost every data scientist must have encountered the data for which they need to perform imbalanced binary classification. Imbalanced data means the number of rows or frequency of data points of one class is much more than the other class. In other […]. The post Handling Imbalanced Data with Imbalance-Learn in Python appeared first on Analytics Vidhya.

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Streamlining IT for agility

CIO Business Intelligence

There’s never been more pressure on IT to deliver technology-enabled change to the business. Yet the volume of demands placed on IT can make it challenging for IT leaders to concentrate IT resources on the right efforts. Here, agility is essential, and smart IT leaders are doubling down on efforts to streamline IT, whether that involves reprioritizing projects and realigning the IT portfolio, rationalizing applications and pursuing cloud-native approaches, increasing automation through DevOps or

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Database Key Terms, Explained

KDnuggets

Interested in a survey of important database concepts and terminology? This post concisely defines 16 essential database key terms.

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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.