Mon.Nov 06, 2023

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AI Pioneer Fei-Fei Li: Navigating the Present and Future of AI

Analytics Vidhya

Introduction Meet Fei-Fei Li, a trailblazer in artificial intelligence (AI) and a driving force behind groundbreaking developments in this field. As a professor of computer science at Stanford University, she’s delved into the intricacies of computer vision. As a co-director of Stanford’s Institute for Human-Centered Artificial Intelligence (HAI), she’s passionately working towards enhancing AI research, […] The post AI Pioneer Fei-Fei Li: Navigating the Present and Futur

Analytics 314
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ON DEMAND WEBINAR: Data Observability Demo Day

DataKitchen

This webinar discusses how to make embarrassing data errors a thing of the past. We will start with how data engineers do not understand their data and have difficulty identifying problematic data records. We will also discuss how the vast majority of data engineers are so busy that they don’t know, or have time to write, tests to write to find data errors.

Testing 130
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IT leader’s survival guide: 8 tips to thrive in the years ahead

CIO Business Intelligence

Managers looking toward 2024 and beyond certainly have a full plate. Decisions around game-changing current and future technology require decisive action and possible investment to remain competitive. In addition to the usual technology considerations, economic, geopolitical, and supply-chain issues all compete for attention as IT leaders look to keep their organizations growing amid turbulent times.

IT 139
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5 Free University Courses on Data Analytics

KDnuggets

Thinking about getting into the data analytical world but do not know where to start? Have a look at these 5 FREE university courses on data analytics.

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How To Get Promoted In Product Management

Speaker: John Mansour

If you're looking to advance your career in product management, there are more options than just climbing the management ladder. Join our upcoming webinar to learn about highly rewarding career paths that don't involve management responsibilities. We'll cover both career tracks and provide tips on how to position yourself for success in the one that's right for you.

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Employee engagement: 10 best practices for improving your culture

CIO Business Intelligence

When employees disengage from work — often called quiet quitting — it starts a ripple effect that can damage everything from their career trajectory to your team, company, and the global economy. Gallup estimates that this phenomenon cost the economy $7.8 trillion in 2022. What is employee engagement? Employee engagement is the feeling of connection, commitment, and dedication that an employee has toward their work, teammates, workplace, and organization at large.

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365 Data Science Offers Free Course Access Until Nov. 20

KDnuggets

From November 6 (07:00 PST) to November 20 (07:00 PST), enjoy free unlimited access to 365 Data Science's comprehensive curriculum, interactive courses, practical data projects, and earn industry-recognized certificates—all at no charge.

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4 ways to empower small and medium businesses with generative AI

IBM Big Data Hub

In a tightening economy, small and medium businesses (SMBs) are challenged to grow while protecting thinning margins. Compared to large businesses, SMBs have fewer resources to help them weather an economic downturn or diversify into new value streams. As such, enterprises that serve SMBs must provide solutions that lessen administrative burdens and deliver tangible value.

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Back to Basics Week 1: Python Programming & Data Science Foundations

KDnuggets

Cultivate your data science expertise with KDnuggets' Back to Basics pathway, which includes Python, data manipulation, and visualization.

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Introducing Amazon MWAA support for Apache Airflow version 2.7.2 and deferrable operators

AWS Big Data

Amazon Managed Workflow for Apache Airflow (Amazon MWAA) is a managed service that allows you to use a familiar Apache Airflow environment with improved scalability, availability, and security to enhance and scale your business workflows without the operational burden of managing the underlying infrastructure. Today, we are announcing the availability of Apache Airflow version 2.7.2 environments and support for deferrable operators on Amazon MWAA.

Metrics 99
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Getting Started with Graph Database Queries, with Cheat Sheet!

KDnuggets

Graph databases are quickly becoming a core part of the analytics toolset for enterprise IT organizations. If you know SQL, you can easily learn Cypher and open up a huge opportunity for data analysis.

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Embedding BI: Architectural Considerations and Technical Requirements

While data platforms, artificial intelligence (AI), machine learning (ML), and programming platforms have evolved to leverage big data and streaming data, the front-end user experience has not kept up. Holding onto old BI technology while everything else moves forward is holding back organizations. Traditional Business Intelligence (BI) aren’t built for modern data platforms and don’t work on modern architectures.

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Software Developer Side Projects: TDI 35

Data Science 101

Threads Dev Interviews I am finding developers on Threads and interviewing them, right on Threads. You are welcome to follow along and let me know on Threads if you would like to be interviewed. Note: The views in these interviews are personal views and do not represent the interviewee’s employer. “If it weren’t for my side projects, I don’t think I would have broken into the industry or got the jobs that I did.” via Yujin Cho (@yujinjcho) on Threads Welcome @yujinjcho , let

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Why Prompt Engineering is a Fad

KDnuggets

Various media outlets have been talking about prompt engineering with much fanfare, making it seem like it’s the ideal job — you don’t need to learn how to code, nor do you have to be knowledgeable about ML concepts like deep learning, datasets, etc. You’d agree that it seems too good to be true, right?

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Personalization, Automation, and the Fate of Retail & CPG

Dataiku

In the ever-shifting world of Retail and Consumer Packaged Goods (CPG), two pivotal strategies are redefining the way companies operate and engage with their customers: Personalization and Automation. These two pillars are indispensable in maintaining competitiveness and ensuring success in the dynamic realm of retail. In this blog, we will delve deeper into the significance of personalization and automation within the retail and CPG industries.

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A Complete Guide To The Power Of Line Graphs With Examples On When To Use Them

datapine

Table of Contents 1) What Is A Line Graph? 2) Line Graphs Benefits & Limitations 3) When To Use A Line Graph 4) Types Of Line Charts 5) Tips To Make A Line Graph 6) Line Chart Examples Graphs and charts have been a part of our lives for many years now. Every day, we encounter graphical representations of data in our jobs and also in the news or advertisements.

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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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Use IAM runtime roles with Amazon EMR Studio Workspaces and AWS Lake Formation for cross-account fine-grained access control

AWS Big Data

Amazon EMR Studio is an integrated development environment (IDE) that makes it straightforward for data scientists and data engineers to develop, visualize, and debug data engineering and data science applications written in R, Python, Scala, and PySpark. EMR Studio provides fully managed Jupyter notebooks and tools such as Spark UI and YARN Timeline Server via EMR Studio Workspaces.

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Optimize APIs with API security best practices

IBM Big Data Hub

Enterprise businesses are continuing to move toward digitalized and cloud-based IT infrastructures. Digital systems enable unprecedented flexibility, scalability and speed when compared to their more traditional, on-premises counterparts. However, digital infrastructures are highly dependent on application programming interfaces — or APIs — to facilitate data transfers between software applications and between applications and end users.

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When Graphs Have Multiple Takeaway Messages

Depict Data Studio

Sometimes our graphs have a single, overarching takeaway message. Maybe the numbers simply went up over time. Or down. Other times, it’s more complicated. Here’s how to explain multiple takeaway messages in presentations: with multiple slides , one per takeaway message. Before: Everything Smushed on One Slide Here’s what I typically see: lots of possible takeaway messages shoved into a single graph on a single slide.

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Why serverless technology is the next big movement

IBM Big Data Hub

Over the past decade, we’ve seen serverless computing take the cloud computing world by storm. Serverless is a cloud computing application development and execution model that enables developers to build and run application code without provisioning or managing servers or backend infrastructure. When developers first started using serverless technology, they were mostly only using it for Function-as-a-Service, or FaaS.

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How to Leverage AI for Actionable Insights in BI, Data, and Analytics

In the rapidly-evolving world of embedded analytics and business intelligence, one important question has emerged at the forefront: How can you leverage artificial intelligence (AI) to enhance your application’s analytics capabilities? Imagine having an AI tool that answers your user’s questions with a deep understanding of the context in their business and applications, nuances of their industry, and unique challenges they face.

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The History of Malware: A Primer on the Evolution of Cyber Threats

IBM Big Data Hub

Malware , a portmanteau of “malicious software,” refers to any software, code, or computer program intentionally designed to cause harm to a computer system or its users. Virtually every modern cyberattack involves some type of malware. These harmful programs can range in severity from highly destructive and costly ( ransomware ) to merely annoying, but otherwise innocuous (adware).

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