Thu.Nov 30, 2023

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The Difference Between Learning and Doing

Jesse Anderson

Lately, I’ve been learning how to trade options. Although there’s data and programming involved in options trading, it isn’t as technical as data engineering or software engineering. However, it reflects the current state of learning, whether that’s data engineering or options trading. It gave me a look into learning a skill using videos. Each lesson I learned will directly apply to your learning or skill improvement.

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The Top 5 Alternatives to GitHub for Data Science Projects

KDnuggets

The blog discusses five platforms designed for data scientists with specialized capabilities in managing large datasets, models, workflows, and collaboration beyond what GitHub offers.

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Best Practices for Migrating Historical Data to Snowflake

Snowflake

At TCS , we help companies shift their enterprise data warehouse (EDW) platforms to the cloud as well as offering IT services. We’re extremely familiar with just how tricky a cloud migration can be, especially when it involves moving historical business data. Choosing a migration approach involves balancing cloud strategy, architecture needs and business priorities.

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5 Free Courses to Master Data Engineering

KDnuggets

Data engineers must prepare and manage the infrastructure and tools necessary for the whole data workflow in a data-driven company.

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The AI Superhero Approach to Product Management

Speaker: Conrado Morlan

In this engaging and witty talk, we’ll explore how artificial intelligence can transform the daily tasks of product managers into streamlined, efficient processes. Using the lens of a superhero narrative, we’ll uncover how AI can be the ultimate sidekick, aiding in decision-making, enhancing productivity, and boosting innovation. Attendees will leave with practical tools and actionable insights, motivated to embrace AI and leverage its potential in their work. 🦸 🏢 Key objectives:

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How to Get a Data Science Job at Top Companies in 2023?

Knowledge Hut

The job market today emphasizes experience as a major criterion. Employers consider experienced professionals better candidates since they provide more value to the company. Are you interested in knowing how to become a data scientist with no experience  but not sure how to go about it? Here you will learn how to get your first data science job. To make t hings easier for you, here is a quick tip.

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Find the right projection with filters in ArcGIS Pro

ArcGIS

Learn how to filter coordinate systems based on a spatial extent, GCS, or projection property.

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How Pie Insurance Created a Self-Serve Incident Triaging & Resolution Workflow with Monte Carlo and Slack

Monte Carlo

With more than 30 years of experience managing data at organizations like Ticketmaster and Eventbrite, Ed Presz considers himself a veteran of the data space. But when he left Eventbrite to lead the data team at Pie Insurance , that meant learning a new industry with unique challenges. From day one, Ed knew data quality was going to be key. As an insurance provider that focuses on workers’ comp and commercial auto for small businesses, Pie employees needed access to accurate, reliable informatio

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Crafting a Data-Driven Talent Intelligence Strategy in Healthcare

databricks

This blog was written in collaboration with Ben Eisenberg, VP of Innovation at People Data Labs, and Tom Ashenmacher, Chief Revenue Officer at.

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How Pie Insurance Created a Self-Serve Incident Triaging & Resolution Workflow with Monte Carlo and Slack

Monte Carlo

With more than 30 years of experience managing data at organizations like Ticketmaster and Eventbrite, Ed Presz considers himself a veteran of the data space. But when he left Eventbrite to lead the data team at Pie Insurance , that meant learning a new industry with unique challenges. From day one, Ed knew data quality was going to be key. As an insurance provider that focuses on workers’ comp and commercial auto for small businesses, Pie employees needed access to accurate, reliable informatio

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Pioneering New Pathways to Enrich Customer Engagement and Compliance

Precisely

Today’s customers expect businesses to engage with them on their own terms. They want companies to anticipate their needs, personalize offerings to their individual preferences, and present them with multiple ways to interact with the brand. That requires a deep, contextual understanding of each customer’s behaviors, intentions, and wishes. It often means predicting what the customer wants, even before they go looking for it.

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Provide Real Value in Your Applications with Data and Analytics

The complexity of financial data, the need for real-time insight, and the demand for user-friendly visualizations can seem daunting when it comes to analytics - but there is an easier way. With Logi Symphony, we aim to turn these challenges into opportunities. Our platform empowers you to seamlessly integrate advanced data analytics, generative AI, data visualization, and pixel-perfect reporting into your applications, transforming raw data into actionable insights.

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Impacts and Takeaways From the Executive Order on the Safe, Secure, and Trustworthy Development and Use of Artificial Intelligence

Cloudera

The Evolution of AI and LLMs Artificial intelligence (AI) and large language models (LLMs) have come a long way since their inception in the 1950s. From the pioneering research of English mathematician and logician Alan Turing to the recent breakthroughs achieved by models like GPT-3/GPT-4, AI has undeniably transformed industries and revolutionized human-computer interactions.