Sat.Feb 26, 2022 - Fri.Mar 04, 2022

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3 Reasons Why You Should Use Linear Regression Models Instead of Neural Networks

KDnuggets

While there may always seem to be something new, cool, and shiny in the field of AI/ML, classic statistical methods that leverage machine learning techniques remain powerful and practical for solving many real-world business problems.

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Manage Your Unstructured Data Assets Across Cloud And Hybrid Environments With Komprise

Data Engineering Podcast

Summary There are a wealth of options for managing structured and textual data, but unstructured binary data assets are not as well supported across the ecosystem. As organizations start to adopt cloud technologies they need a way to manage the distribution, discovery, and collaboration of data across their operating environments. To help solve this complicated challenge Krishna Subramanian and her co-founders at Komprise built a system that allows you to treat use and secure your data wherever

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Why Data Governance Is Crucial for All Enterprise-Level Businesses

Cloudera

Whether the enterprise uses dozens or hundreds of data sources for multi-function analytics, all organizations can run into data governance issues. Bad data governance practices lead to data breaches, lawsuits, and regulatory fines — and no enterprise is immune. . Everyone Fails Data Governance. In 2019, the U.K.’s Information Commissioner’s Office fined Marriott International over £99 million ($136 million) for violating the General Data Protection Regulation (GDPR), a European law govern

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How Rockset Supports Kinesis Shard Autoscaling to Handle Varying Throughputs

Rockset

Amazon Kinesis is a platform to ingest real-time events from IoT devices, POS systems, and applications, producing many kinds of events that need real-time analysis. Due to Rockset 's ability to provide a highly scalable solution to perform real-time analytics of these events in sub-second latency without worrying about schema, many Rockset users choose Kinesis with Rockset.

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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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How to Stay on Top of What’s Going on in the AI World

KDnuggets

How do you keep up with all the news and trends, and navigate through the endless stream of AI information? Check out this author's list of favorite AI papers sources that help you float effortlessly in the info ocean.

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Reflections On Designing A Data Platform From Scratch

Data Engineering Podcast

Summary Building a data platform is a complex journey that requires a significant amount of planning to do well. It requires knowledge of the available technologies, the requirements of the operating environment, and the expectations of the stakeholders. In this episode Tobias Macey, the host of the show, reflects on his plans for building a data platform and what he has learned from running the podcast that is influencing his choices.

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Real-Time Analytics on Oracle and MSSQL With Rockset

Rockset

Today Rockset is announcing an early access program for Oracle and Microsoft SQL Server integrations. Oracle and Microsoft SQL Server (MSSQL) are both incredibly popular database products for transactional workloads at large enterprises. The amount of data companies generate, transform, store and query is growing exponentially. This data has material financial value when it’s both fresh and easy to access, however, customers commonly face scalability challenges running both transactional and ana

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Hybrid AI Will Go Mainstream in 2022

KDnuggets

Analysts predict an AI boom, driven by possibilities and record funding. While challenges remain, a hybrid approach combining the best of the realm may finally send it sailing into the mainstream.

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The Data Janitor Letters - February 2022

Pipeline Data Engineering

Data engineering salon. News and interesting reads about the world of data. The Unbundling of Airflow Gorkem Yurtseven, Co-Founder, Features and Labels A diverse set of tools is unbundling Airflow and this diversity is causing substantial fragmentation in modern data stack. Rebundling the Data Platform Nick Schrock, Founder, Elementl A fundamentally new approach to orchestration that orients around assets rather than tasks.

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Memory Optimizations for Analytic Queries in Cloudera Data Warehouse

Cloudera

Apache Impala is used today by over 1,000 customers to power their analytics in on premise as well as cloud-based deployments. Large user communities of analysts and developers benefit from Impala’s fast query execution, helping them get their work done more effectively. For these users performance and concurrency are always top of mind. . An important technique to ensure good performance and concurrency is through efficient usage of memory.

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

Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin

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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Founding an Analytics Engineering Team

dbt Developer Hub

Executive Summary: If your company is struggling to leverage analytics, dealing with an overgrown ecosystem of dashboards/databases or simply want to avoid the mistakes of others, this story is for you. In this article, I will walk through forming the first analytics engineering team at Smartsheet including how momentum built around forming the team, the challenges we faced, and the solutions we developed within the first year.

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What is Adversarial Machine Learning?

KDnuggets

In the Cybersecurity sector Adversarial machine learning attempts to deceive and trick models by creating unique deceptive inputs, to confuse the model resulting in a malfunction in the model. .

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What Is a Tech Stack? What It Is and Why You Need One - Trio Developers

Trio

What Is a Tech Stack and How To Choose the Right One? In spite of its name, a tech stack has little to do with pancakes or money. Instead a tech stack, is a necessary part of every software development project.

IT 52
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Facial Emotion Recognition Project using CNN with Source Code

ProjectPro

Facial Expression Recognition (FER) based technologies are an integral part of the emotion recognition market, which is anticipated to reach $56 billion by 2024—detecting Emotions? Using AI? Can we really do that? The answer is YES! One can easily build a facial emotion recognition project in Python. Continue reading to find the answer to how you can do that.

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How to Drive Cost Savings, Efficiency Gains, and Sustainability Wins with MES

Speaker: Nikhil Joshi, Founder & President of Snic Solutions

Is your manufacturing operation reaching its efficiency potential? A Manufacturing Execution System (MES) could be the game-changer, helping you reduce waste, cut costs, and lower your carbon footprint. Join Nikhil Joshi, Founder & President of Snic Solutions, in this value-packed webinar as he breaks down how MES can drive operational excellence and sustainability.

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Data Observability for Developers: Announcing Monte Carlo’s Python SDK

Monte Carlo

Our Python SDK gives data engineers programmatic access to Monte Carlo to augment our data observability platform’s lineage, cataloging, and monitoring functionalities. We are excited to announce the release of Monte Carlo’s Python SDK (Pycarlo), a new way for data engineers to create data applications directly on top of our data observability platform.

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Data: The Most Valuable Commodity for Businesses

KDnuggets

Many companies have been capturing customer data in some form or another for decades. Petabytes of data are traversing networks worldwide every day, and all of that data means big money. Here's how companies can best utilize this data to influence positive outcomes.

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What is Front-End Web Development? - Trio Developers

Trio

As business strategists and project managers scramble to create seamless user experiences (UX) and user interfaces (UI), front end web development teams have never been more crucial than before.

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Defying Gravity

Elder Research

The post Defying Gravity appeared first on Elder Research.

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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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Top 3 Free Resources to Learn Linear Algebra for Machine Learning

KDnuggets

This article will solely focus on learning linear algebra, as it forms the backbone of machine learning model implementation.

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Top Posts Feb 21-27: The Complete Collection of Data Science Cheat Sheets – Part 2

KDnuggets

Also: Decision Tree Algorithm, Explained; The Complete Collection of Data Science Cheat Sheets – Part 1; Essential Machine Learning Algorithms: A Beginner’s Guide; An Easy Guide to Choose the Right Machine Learning Algorithm.

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Analyzing the Probability of Future Success with Intelligence Node’s Attributes Evolution Model

KDnuggets

The analytics team at Intelligence Node have been working on developing a Limited Memory model (which first started as a Reactive model) aka the 'The Probability of Future Success' model. This model explores a new market driven approach to identifying future trends and probability of success for specific product attributes based on a series of dynamic metrics and attributes.

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KDnuggets™ News 22:n09, Mar 2: Telling a Great Data Story: A Visualization Decision Tree; SQL vs. Object-Relational Mapping (ORM)

KDnuggets

Telling a Great Data Story: A Visualization Decision Tree; What Is the Difference Between SQL and Object-Relational Mapping (ORM)?; Top 7 YouTube Courses on Data Analytics ; How Much Do Data Scientists Make in 2022?; Design Patterns in Machine Learning for MLOps.

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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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5 Applications of Computer Vision

KDnuggets

CV has the potential to transform industries and how they operate. Here are some of the most notable applications worth exploring.

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Women in the World of Data

KDnuggets

When it comes to Data Science, many people affiliate the career path as being ‘nerdy’. An industry for men, smart men; pushing women further and further away from the career. What can be done about this, and why is it important?

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Top Data Science Tools for 2022

KDnuggets

Check out this curated collection for new and popular tools to add to your data stack this year.

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Calculus: The hidden building block of machine learning

KDnuggets

Unless you have a basic knowledge of calculus, you cannot understand how machine learning algorithms are developed. Calculus for Machine Learning is designed for developers to get you up to speed on the calculus that you need for applied machine learning. The book has more math than our other books and over 85 code examples to help you understand the concepts.

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Business Intelligence 101: How To Make The Best Solution Decision For Your Organization

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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6 Data Science Startups To Work For In 2022

KDnuggets

If you’re looking to put your skills to the test, here are the top six startups you should consider working for in 2022.

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2022 INFORMS Business Analytics Conference: Join us for cutting-edge content and career advancement opportunities

KDnuggets

The 2022 INFORMS Business Analytics Conference comes to Houston, TX, April 3-5. Discover dozens of real-world case studies highlighting how data science and analytics professionals are empowering organizations to make data-driven decisions.

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How to Create a Dataset for Machine Learning

KDnuggets

Datasets - properly curated and labeled - remain a scarce resource. What can be done about this?

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3 Possible Ways to Get into Data Science

KDnuggets

This article will discuss 3 possible ways of getting into the field of data science.

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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.