Sat.Oct 12, 2024 - Fri.Oct 18, 2024

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Roadmap for AI Engineers

KDnuggets

Learn about 10 easy steps to becoming an AI engineer in 2024.

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Interesting startup idea: benchmarking cloud platform pricing

The Pragmatic Engineer

Hi, this is Gergely with a bonus, free issue of the Pragmatic Engineer Newsletter. In every issue, I cover topics related to Big Tech and startups through the lens of engineering managers and senior engineers. In this article, we cover one section from this week’s from last week’s The Pulse issue. To get full issues twice a week, subscribe here.

Cloud 273
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How to use nested data types effectively in SQL

Start Data Engineering

1. Introduction 2. Code & Data 3. Using nested data types effectively 3.1. Use STRUCT for one-to-one & hierarchical relationships 3.2. Use ARRAY[STRUCT] for one-to-many relationships 3.3. Using nested data types in data processing 3.3.1. STRUCT enables more straightforward data schema and data access 3.3.2. Nested data types can be sorted 3.3.3.

SQL 130
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What is the WordPress drama about?

Confessions of a Data Guy

I figured a few of us might need the WordPress drama explained like we are 5. So, here you go. WordPress is the GOAT of internet website builders WordPress was founded by Matt Mullenweg With much of the internet running on WordPress … hosting WordPress is of course … lucrative and a big business. The […] The post What is the WordPress drama about?

Data 113
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Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

Speaker: Jay Allardyce

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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10 GitHub Repositories for Advanced Machine Learning Projects

KDnuggets

Where can you find projects dealing with advanced ML topics? GitHub is a perfect source with its many repositories. I’ve selected ten to talk about in this article.

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OCP Summit 2024: The open future of networking hardware for AI

Engineering at Meta

At Open Compute Project Summit (OCP) 2024, we’re sharing details about our next-generation network fabric for our AI training clusters. We’ve expanded our network hardware portfolio and are contributing two new disaggregated network fabrics and a new NIC to OCP. We look forward to continued collaboration with OCP to open designs for racks, servers, storage boxes, and motherboards to benefit companies of all sizes across the industry.

More Trending

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How to make the PEFECT Pull Request (PR)

Confessions of a Data Guy

Is there anything worse than the PR process (Pull Request) at most companies? Probably not. It’s the dreaded 600-pound gorilla in the room that no one wants to talk about. Everyone hates it, everyone has to do it. But, it doesn’t have to be like that. There are a few tried and true ways to […] The post How to make the PEFECT Pull Request (PR) appeared first on Confessions of a Data Guy.

Process 100
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A Data Scientist GenAI Survival Guide

KDnuggets

This guide emphasizes the growing significance of GenAI but also highlights the crucial role that data scientists play in harnessing this technology to solve real-world problems.

Data 121
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Container Runtime: GPU Training & Inference with Snowflake Notebooks

Snowflake

Predictive machine learning continues to be a cornerstone of data-driven decision-making. However, as organizations accumulate more data in a wide variety of forms, and as modeling techniques continue to advance, the tasks of a data scientist and ML engineer are becoming increasingly complex. Oftentimes, more effort is spent on managing infrastructure, jumping through package management hurdles, and dealing with scalability issues than on actual model development.

Food 71
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Introducing the New SQL Editor

databricks

Over the last few years, we've seen tremendous growth and adoption of Databricks SQL , our intelligent data warehouse purpose-built on the Data.

SQL 88
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Changing the Game with MES: Cut Costs, Drive Efficiency, & Achieve Sustainability Goals!

Speaker: Nikhil Joshi, Founder & President of Snic Solutions

In an era where efficiency is king, are you leveraging the right tools to transform your manufacturing processes? A Manufacturing Execution System (MES) is critical for enhancing operational efficiency, reducing waste, and optimizing energy usage—key factors for improving your bottom line and lowering your carbon footprint. Join Nikhil Joshi, a manufacturing technology expert with 18+ years of hands-on experience, in this new webinar as he uncovers the secrets of MES and how to best utilize thes

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2025 Planning Insights: The Rise of AI is Hampered by a Lack of Data Readiness

Precisely

Key Takeaways: Only 12% of organizations report their data is of sufficient quality and accessibility for AI. Data analysis (57%) is the top-cited reason organizations are considering the use of AI. The top data challenge inhibiting the progress of AI initiatives is data governance (62%). The 2025 Outlook: Data Integrity Trends and Insights report is here!

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Practical Solutions for AI workloads in the Enterprise

KDnuggets

This is a comprehensive resource for developers at all levels, whether they are just starting in AI or are looking to refine their expertise further.

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How Solid Data Strategies are Fueling Generative AI Innovation

Snowflake

If innovation is the ultimate goal in business and technology today, then consider generative AI (gen AI) the vehicle taking us there — and a strong data strategy, the fuel. Despite all its promise of productivity gains and new discoveries, gen AI alone can't do it all. The technology needs a "very ready" data foundation to feed on, something the vast majority of businesses today (78%) do not possess, according to a new report by MIT Technology Review Insights , in partnership with Snowf

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Announcing Azure Cobalt 100 VMs: Powering the Future of Azure Databricks

databricks

At Databricks, we are constantly innovating and optimizing our platform to ensure that our customers can maximize the value of their data and.

Data 82
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Improving the Accuracy of Generative AI Systems: A Structured Approach

Speaker: Anindo Banerjea, CTO at Civio & Tony Karrer, CTO at Aggregage

When developing a Gen AI application, one of the most significant challenges is improving accuracy. This can be especially difficult when working with a large data corpus, and as the complexity of the task increases. The number of use cases/corner cases that the system is expected to handle essentially explodes. 💥 Anindo Banerjea is here to showcase his significant experience building AI/ML SaaS applications as he walks us through the current problems his company, Civio, is solving.

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How AI is Shaping Customer Communications: Insights from Engage CTO, Allan Christian

Precisely

At Trust ’24, we had the opportunity to sit down with Allan Christian, CTO of Precisely Engage, to discuss how AI is transforming customer communications and what the future holds for this technology. In this Q&A session, Allan shares insights into the AI-driven technologies Engage is offering clients today, the feedback they’re receiving from customers about AI-driven innovations, and the emerging technologies that will further enhance their products in the future.

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7 Free Data Science Platform for Beginners

KDnuggets

Explore free platforms for learning, building portfolios, accessing code editors, engaging with communities, and hosting projects.

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Advertising Week 2024: Top 3 Takeaways

Snowflake

If there’s one thing you can count on with Advertising Week New York 2024, it is that you will leave with your head buzzing with ideas, insights and the latest industry trends. It is the advertising event of the year. With more than 60% of attendees director-level or above from leading brands, agencies and adtech companies, it is a thought leadership event of truly epic proportions.

Cloud 60
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Building Confidence in Your Genie Space with Benchmarks and Ask for Review

databricks

AI/BI Genie is a conversational experience for business teams to self-serve insights from their data through natural language. Genie leverages generative AI tailored.

BI 71
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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.

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Inspiring Success Stories from our 2024 Data Integrity Award Winners

Precisely

This year, our annual Data Integrity Summit, Trust ’24, was better than ever – and a big part of what made the event so exciting was our first-ever Data Integrity Awards ! We were thrilled to shine the spotlight on customers driving AI innovation, business results, and societal impact. As you plan for 2025, get inspired with their success stories today.

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The Key to LLMs: A Mathematical Understanding of Word Embeddings

KDnuggets

Word embeddings is a numerical representation of text, allowing a computer to process words efficiently by converting words into numerical vectors that can be processed with machine learning algorithm.

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Revolutionizing Build Analytics: How to enhance build processes with ThoughtSpot

ThoughtSpot

In the fast-paced world of software development, the efficiency of build processes plays a crucial role in maintaining productivity and code quality. At ThoughtSpot , while Gradle has been effective, the growing complexity of our projects demanded a more sophisticated approach to understanding and optimizing our builds. This requirement prompted us to explore Build Analytics—harnessing data from our build processes to gain actionable insights.

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Striim’s Multi-Node Deployments: Ensuring Scalability, High Availability, and Disaster Recovery

Striim

In today’s enterprise landscape, ensuring high availability, scalability, and disaster recovery is paramount for businesses relying on continuous data flow and analytics. Striim, a leading platform for real-time data integration and streaming analytics, offers multi-node deployments that significantly enhance redundancy while delivering enterprise-grade capabilities for mission-critical workloads.

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Driving Responsible Innovation: How to Navigate AI Governance & Data Privacy

Speaker: Aindra Misra, Senior Manager, Product Management (Data, ML, and Cloud Infrastructure) at BILL

Join us for an insightful webinar that explores the critical intersection of data privacy and AI governance. In today’s rapidly evolving tech landscape, building robust governance frameworks is essential to fostering innovation while staying compliant with regulations. Our expert speaker, Aindra Misra, will guide you through best practices for ensuring data protection while leveraging AI capabilities.

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Transforming Financial Services: GenAI’s Role in Risk Management and Analytics

RandomTrees

Technology is given special attention within the financial services sector owing to the need for constant upgrades to fulfill the needs of the world market. At present, Generative AI (GenAI) is one of the essential instruments that has changed the financial industry, risk management, and analysis of financial data. This shift is helping financial institutions harness insights from artificial intelligence and machine learning for improved decision-making operational performance, transforming fina

Finance 52
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How to Create Custom Educational Podcasts with NotebookLM

KDnuggets

Creating custom educational podcasts with NotebookLM is straightforward. Simply upload your content, customize the audio output to highlight key topics, and export your final podcast for sharing with your audience.

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Confluent Cloud Is Now 100% KRaft and You Should Be Too

Confluent

Migrate from ZooKeeper to KRaft using Confluent for Kubernetes quickly and with ease. Automate the process and migrate in minutes.

Cloud 69
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Measuring Data Quality at the Use Case Level

Monte Carlo

Measuring the progress of a data quality initiative is not as straightforward as it seems. One of the biggest reasons for this is because data quality is use case specific. For example, the accuracy required for a machine learning application may only need to be directional whereas a finance report may need to be accurate to the penny. To this end, we are happy to introduce our latest Data Quality Dashboard.

Finance 52
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Building Your BI Strategy: How to Choose a Solution That Scales and Delivers

Speaker: Evelyn Chou

Choosing the right business intelligence (BI) platform can feel like navigating a maze of features, promises, and technical jargon. With so many options available, how can you ensure you’re making the right decision for your organization’s unique needs? 🤔 This webinar brings together expert insights to break down the complexities of BI solution vetting.

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How to Retain Talent

DareData

An aggressive and dominant communication style, unrealistic goals, inefficient structures where no one takes ownership and rigid hierarchies where people fear failure. Does it sound familiar? Throughout my career, I've encountered the same environment numerous times. In each new job, I've tried to make improvements, yet inevitably, I would find myself without any major victories, feeling tired, out of place, and anxious.

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How to Learn Python the Lazy Way

KDnuggets

The title says everything. It is a guide for lazy people who want to learn Python and earn dollars.

Python 109
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Smart Airport: Elevating Airport Safety and Security to New Heights with GIS

ArcGIS

Geographic Information Systems (GIS), are revolutionizing airport safety and security, and driving the transformation into smart airports.

Systems 61
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Preparing the Consumer Fetch: Kafka Producer and Consumer Internals, Part 3

Confluent

Third installment of the Producer/Consumer Internals series that covers preparing the consumer fetch: how consumers interact with brokers, coordinate partitions, and send requests.

Kafka 52
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What Is Entity Resolution? How It Works & Why It Matters

Entity Resolution Sometimes referred to as data matching or fuzzy matching, entity resolution, is critical for data quality, analytics, graph visualization and AI. Learn what entity resolution is, why it matters, how it works and its benefits. Advanced entity resolution using AI is crucial because it efficiently and easily solves many of today’s data quality and analytics problems.