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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How to Achieve High-Accuracy Results When Using LLMs

Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage

When tasked with building a fundamentally new product line with deeper insights than previously achievable for a high-value client, Ben Epstein and his team faced a significant challenge: how to harness LLMs to produce consistent, high-accuracy outputs at scale. In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation m

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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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Zero Trust Mandate: The Realities, Requirements and Roadmap

The DHS compliance audit clock is ticking on Zero Trust. Government agencies can no longer ignore or delay their Zero Trust initiatives. During this virtual panel discussion—featuring Kelly Fuller Gordon, Founder and CEO of RisX, Chris Wild, Zero Trust subject matter expert at Zermount, Inc., and Principal of Cybersecurity Practice at Eliassen Group, Trey Gannon—you’ll gain a detailed understanding of the Federal Zero Trust mandate, its requirements, milestones, and deadlines.

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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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Enterprise ABM Marketing Tools: A Marketers Guide

Savvy B2B marketers know that a great account-based marketing (ABM) strategy leads to higher ROI and sustainable growth. In this guide, we’ll cover: What makes for a successful ABM strategy? What are the key elements and capabilities of ABM that can make a real difference? How is AI changing workflows and driving functionality? This Martech Intelligence Report on Enterprise Account-Based Marketing examines the state of ABM in 2024 and what to consider when implementing ABM software.

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Four Strategies For Effective Database Compliance

Smart Data Collective

Modern data is an increasingly overwhelming field, with new information being created and absorbed by businesses every second of the day. Instead of drawing in the sheer speed of production that we’re encountering, many businesses have moved into effective data management strategies. Of all of those tactics, storing structured data in databases is by far one of the most effective.

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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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Revolutionize QA: GAPs AI-Driven Accelerators for Smarter, Faster Testing

GAP's AI-Driven QA Accelerators revolutionize software testing by automating repetitive tasks and enhancing test coverage. From generating test cases and Cypress code to AI-powered code reviews and detailed defect reports, our platform streamlines QA processes, saving time and resources. Accelerate API testing with Pytest-based cases and boost accuracy while reducing human error.

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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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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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7 SMOTE Variations for Oversampling

KDnuggets

Best oversampling techniques for the imbalanced data.

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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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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 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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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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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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Cloud-Centric Companies Discover Benefits & Pitfalls of Network Relocation

Smart Data Collective

Keeping your IT infrastructure in-tact while moving or relocating to a new location is a top priority at most organizations, especially cloud-centric companies. Given that IT increasingly affects every touchpoint of your business, any downtime can derail operations across the board, or worse result in theft or loss of data with far reaching consequences.

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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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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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Top Posts January 16-22: ChatGPT as a Python Programming Assistant

KDnuggets

ChatGPT as a Python Programming Assistant • ChatGPT: Everything You Need to Know • Explainable AI: 10 Python Libraries for Demystifying Your Model’s …

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4 AI Hacks to Make Sales Teams More Efficient

Over the last two years, there’s been a 76 percent increase in AI adoption across sales organizations. The reason for its rise? AI increases teams’ productivity by predicting and automating actions that require manual effort. In other words, the research that takes reps hours, AI can do in seconds. For sales teams, AI opens up a world of new possibilities, including automating outreach, identifying best-fit buyers, and keeping CRMs flush with fresh data.