Sat.Jan 21, 2023 - Fri.Jan 27, 2023

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The Ultimate Guide to Choosing the Best Data Science Course to Boost Your Career in 2023

Analytics Vidhya

Introduction Data science is a rapidly growing field with many career opportunities. Data scientists are at the forefront of solving complex problems using data-driven approaches, from predicting market trends to developing personalized recommendations. To succeed in this field, you’ll need a strong foundation in mathematics, statistics, and computer science and the ability to work with […] The post The Ultimate Guide to Choosing the Best Data Science Course to Boost Your Career in 2

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CIOs sharpen tech strategies to support hybrid work

CIO Business Intelligence

A significant number of organizations are operating in a hybrid model — and expect to continue with that hybrid environment for the foreseeable future. Global analytics and advice firm Gallup has found that the percentage of remote-capable workers working in a hybrid environment increased in 2022 , moving from 42% in February to 49% in June. Gallup also found that only 20% of remote-capable employees were working fully on-site while 30% were fully remote in 2022.

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The ChatGPT Cheat Sheet

KDnuggets

Impress your friends and loved ones by perfecting your ChatGPT prompt engineering game with this incredibly useful resource.

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Introducing native support for Apache Hudi, Delta Lake, and Apache Iceberg on AWS Glue for Apache Spark, Part 1: Getting Started

AWS Big Data

AWS Glue is a serverless, scalable data integration service that makes it easier to discover, prepare, move, and integrate data from multiple sources. AWS Glue provides an extensible architecture that enables users with different data processing use cases. A common use case is building data lakes on Amazon Simple Storage Service (Amazon S3) using AWS Glue extract, transform, and load (ETL) jobs.

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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have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth.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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The Future of Machine Learning: AutoML

Analytics Vidhya

Introduction Source – mccinnovations.com Do you ever wonder how companies develop and train machine learning models without experts? Well, the secret is in the field of Automated Machine Learning (AutoML). AutoML simplifies the process of building and tuning machine learning models for organizations to harness the power of […] The post The Future of Machine Learning: AutoML appeared first on Analytics Vidhya.

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CIOs step up to fill plus-size leadership roles

CIO Business Intelligence

With a career path that wound through R&D, product development, advanced supply chain, and technology, Praveen Jonnala is well positioned to lead a global IT organization as well as take the reins of operations and other core business functions. Jonnala stepped in as CIO at network infrastructure provider CommScope two years ago after more than a dozen years spent at the company in various roles leading business and technology transformation.

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Prevedere Provides Predictive Insights with Analytics and Planning

David Menninger's Analyst Perspectives

Markets have been more volatile than ever. It creates a need for decision makers to utilize technologies such as artificial intelligence and machine learning (AI/ML) to better understand the external factors that impact their business. By identifying these factors, organizations can better plan for changing market environments and seize market opportunities.

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Introduction to Redis OM in Python

Analytics Vidhya

Introduction Redis OM is a widely used in-memory database deployed as a cache or database and message broker. It is well-suited for high-performance, real-time applications that need low-latency data access. Redis supports several data types, including strings, lists, sets, and hyperloglogs. Redis-py is one of the most used Redis Clients for python to access the Redis […] The post Introduction to Redis OM in Python appeared first on Analytics Vidhya.

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6 tips for making the most of a tight IT budget

CIO Business Intelligence

IT leaders seeking to drive enterprise growth through technology investments are often saddled with budgets that make their tasks of increasing the top and bottom lines challenging. The year 2023 seems to be no different. Despite an estimated increase to IT budgets of 5.1% on average for 2023, research firm Gartner points to a projected 6.5% global inflation rate, an ongoing talent squeeze, and persistent supply issues as a triple threat to CIOs’ ability to realize time to value for their tech i

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5 Free Data Science Books You Must Read in 2023

KDnuggets

Get your hands on these gems to learn Python, data analytics, machine learning, and deep learning.

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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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Amazon OpenSearch Serverless is now generally available!

AWS Big Data

We ended 2022 on a high note with the preview release of Amazon OpenSearch Serverless at re:Invent. Today, we are happy to announce the general availability of Amazon OpenSearch Serverless , the serverless option for Amazon OpenSearch Service that makes it easier to run search and analytics workloads without even having to think about infrastructure management.

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Step-by-Step Working of Decision Tree Algorithm

Analytics Vidhya

Introduction Hi everyone! I hope by now you are familiar with linear and logistic regression. In those algorithms, the major disadvantage is that it has to be linear, and the data needs to follow some assumption. For example, 1. Homoscedasticity 2. multicollinearity 3. No auto-correlation and so on. But, In the Decision tree, we don‘t […] The post Step-by-Step Working of Decision Tree Algorithm appeared first on Analytics Vidhya.

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Microsoft’s latest OpenAI investment opens way to new enterprise services

CIO Business Intelligence

OpenAI has landed billions of dollars more funding from Microsoft to continue its development of generative artificial intelligence tools such as Dall-E 2 and ChatGPT. A move that is likely to unlock similar investments from competitors — Google in particular — and open the way for new or improved software tools for enterprises large and small. Microsoft stands to benefit from its investment in three ways.

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From Data Collection to Model Deployment: 6 Stages of a Data Science Project

KDnuggets

Here are 6 stages of a novel Data Science Project; From Data Collection to Model in Production, backed by research and examples.

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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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How Useful is ChatGPT for Data Visualisation Work?

The Data Visualisation Catalogue

So I finally got around to looking into ChatGPT and while I may be a month or so behind, it has allowed me to see what others are saying on this topic before I write about it. There’s been a lot of buzz on ChatGPT since December, not just from developers and copywriters, but also even people discussing the wider philosophical implications of tools like it.

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Why is Sigmoid Function Important in Artificial Neural Networks?

Analytics Vidhya

Introduction The sigmoid function is a fundamental component of artificial neural networks and is crucial in many machine-learning applications. This blog post will dive deep into the sigmoid function and explore its properties, applications, and implementation in code. Source: Pixabay First, let’s start with the basics. The sigmoid function is a mathematical function that maps […] The post Why is Sigmoid Function Important in Artificial Neural Networks?

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United Airlines gives employees the digital tools to make customers happy

CIO Business Intelligence

As CIO of United Airlines, Jason Birnbaum is laser focused on using technology and data to enable the company’s 86,000 employees to create as seamless a customer travel experience as possible. “Our goal is to improve the entire travel process from when you plan a trip to when you plan the next trip,” says Birnbaum, who joined the airline in 2015 and became CIO last July.

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7 Best Libraries for Machine Learning Explained

KDnuggets

Learn about machine learning libraries for building and deploying machine learning models.

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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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Automate deployment and version updates for Amazon Kinesis Data Analytics applications with AWS CodePipeline

AWS Big Data

Amazon Kinesis Data Analytics is the easiest way to transform and analyze streaming data in real time using Apache Flink. Customers are already using Kinesis Data Analytics to perform real-time analytics on fast-moving data generated from data sources like IoT sensors, change data capture (CDC) events, gaming, social media, and many others. Apache Flink is a popular open-source framework and distributed processing engine for stateful computations over unbounded and bounded data streams.

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Artificial Intelligence in Sports: Generating Match Highlights With AI

Analytics Vidhya

Introduction The FIFA World Cup 2022 may be over, but the story of Belgian striker Romelu Lukaku’s performance against Croatia will be remembered as one of the tournament’s most heartbreaking tales. Despite his high transfer fee tagged to his name, Lukaku’s inability to convert easy chances led to Belgium’s early exit. But what if there […] The post Artificial Intelligence in Sports: Generating Match Highlights With AI appeared first on Analytics Vidhya.

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Top 17 cloud cost management tools

CIO Business Intelligence

It feels like just yesterday that we were promised that cloud servers cost just pennies. You could rent a rack with the spare change behind the sofa cushions and have money left for an ice cream sandwich. Those days are long gone. When the monthly cloud bill arrives, CFOs are hitting the roof. Developer teams are learning that the pennies add up, sometimes faster than expected, and it’s time for some discipline.

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Multi-modal deep learning in less than 15 lines of code

KDnuggets

Learn how to easily build, iterate and deploy a state-of-the-art deep learning model to predict customer ratings with a declarative approach to machine learning.

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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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5 Benefits of Analytics to Manage Commercial Construction

Smart Data Collective

Analytics technology is changing the state of many different industries. The construction sector is no exception. Construction companies are projected to spend nearly $19.7 billion on analytics technology by 2027. While a growing number of construction companies are starting to appreciate the importance of analytics technology, some are still unaware of the benefits.

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How is TinyML Used for Embedding Smaller Systems?

Analytics Vidhya

Introduction There are many emerging trends in the tech world, and Machine Learning is one of them. Machine Learning is a subset of Artificial Intelligence where a computer learns from data and analyses its patterns to predict an outcome. Usually, Machine Learning models are trained on big chunks of data to analyze the patterns where […] The post How is TinyML Used for Embedding Smaller Systems?

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Giant Eagle CIO Kirk Ball on what’s fresh in the digital grocery experience

CIO Business Intelligence

Based in Pittsburgh and privately owned, grocery chain Giant Eagle, with 34,000 employees across 570 locations, raced to deliver new digital experiences and buying capabilities for their customers during those intensely challenging early months of the pandemic. And it’s during that time when Ball joined, in June 2020. “The pandemic certainly accelerated the growth and adoption of buying online, and that certainly caused us to accelerate the landscape and breadth of the offering we have,” he says

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7 SMOTE Variations for Oversampling

KDnuggets

Best oversampling techniques for the imbalanced data.

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

Speaker: Jay Allardyce, Deepak Vittal, Terrence Sheflin, and Mahyar Ghasemali

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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Fortifying Enterprise Digital Security Against Hackers Weaponizing AI

Smart Data Collective

The biggest threat to digital security is weaponized artificial intelligence (AI) , which is ubiquitous and damaging. AI is neither good nor bad, but the people behind it can distinguish between AI being an asset or a threat. Cyber-attacks have grown in frequency and sophistication and have become more difficult to detect and stop. The profitability of hacking into data systems in the black market has propelled this threat, causing security experts to lag.

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How is AI Improving the Data Management Systems?

Analytics Vidhya

Introduction Effective data management is crucial for organizations of all sizes and in all industries because it helps ensure the accuracy, security, and accessibility of data, which is essential for making good decisions and operating efficiently. Properly organizing and maintaining your data can help ensure that it is accurate and up to date. This is important […] The post How is AI Improving the Data Management Systems?

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2023: The year of the rise of the digital economy in GCC countries

CIO Business Intelligence

The pandemic has led many organizations in the Middle East to shift towards a digital-first strategy. According to IDC’s group vice president and regional managing director for the Middle East, Turkey, and Africa, Jyoti Lalchandani: “This means choosing digitalization options over non-digital options as a rule while implementing or enhancing new products, services, channels, customer/employee experiences, or operational processes.

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Top 8 Data Science Slack Communities to Join in 2023

KDnuggets

Take your Data Science journey to the next level by joining these Slack communities in 2023.

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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.