Sat.Jan 14, 2023 - Fri.Jan 20, 2023

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Plumbing Wisdom for Data Pipelines

DataKitchen

While you’re admiring the latest cloud tech, don’t forget that humans have been debugging pipelines, at least since the Romans built the aqueducts.

Testing 130
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Data Mesh vs Data Fabric: Understanding the Key Differences

Data Virtualization

Reading Time: 2 minutes In recent years, there has been a growing interest in data architecture. One of the key considerations is how best to handle data, and this is where data mesh and data fabric come into play. But what are the key.

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Has the Data Warehouse Had Its Day?

BI-Survey

Data architecture is a topic that is as relevant today as ever. It is widely regarded as a matter for data engineers, not business domain experts. But is it really?

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Three Keys to Protecting the Corporate Network in the Era of Hybrid Work

CIO Business Intelligence

Remote and hybrid work is here to stay. In an increasingly complex security environment, no challenge looms larger than how to protect remote devices that tie back into the corporate network.

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ERM Program Fundamentals for Success in the Banking Industry

Speaker: William Hord, Senior VP of Risk & Professional Services

This exclusive webinar with William Hord, Senior VP of Risk & Professional Services, will explore the foundational elements you need to start or validate your ERM program. He will also dive into topic definitions, governance structures, and framework components for success.

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How Data Analytics can help Identify Target Market?

DataFloq

Have you ever wondered how businesses make decisions? It may surprise you that one of the answers is data analytics. With so much information available today, data analytics has become an integral part of decision-making for businesses.

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Data Science and Artificial Intelligence in 2023 – Difference, Applications, & Job Trajectory

Analytics Vidhya

Introduction Data Science and Artificial Intelligence (AI) are two of the most rapidly growing and exciting technological fields today. Both disciplines are revolutionizing how we process, analyze, and make sense of data to solve complex problems and make informed decisions.

More Trending

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What is an open data lakehouse and why you should care?

IBM Big Data Hub

A data lakehouse is an emerging data management architecture that improves efficiency and converges data warehouse and data lake capabilities driven by a need to improve efficiency and obtain critical insights faster. Let’s start with why data lakehouses are becoming increasingly important.

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What’s Your Data Culture Plan for 2023?

TDAN

As we start the new year, it is a good chance for us to take a step back and re-think how we are approaching our data culture. How are we improving data trust? Are we being intentional about our data communications? Are we supported by senior leadership?

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Four starting points to transform your organization into a data-driven enterprise

IBM Big Data Hub

Due to the convergence of events in the data analytics and AI landscape, many organizations are at an inflection point.

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How Synthetic Biology Will Define Humanity

DataFloq

Synthetic biology is a rapidly growing field that attempts to build synthetic organisms and systems using engineering principles. The goal of this field is to create new living things and organisms that do not exist in nature or copy existing biological systems for human applications.

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The Power of Storytelling in Risk Management

Speaker: Dr. Karen Hardy, CEO and Chief Risk Officer of Strategic Leadership Advisors LLC

Join this exclusive webinar with Dr. Karen Hardy, where she will explore the power of storytelling in risk communication as a core component of a resilient organization's management framework!

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What is Data Quality in Machine Learning?

Analytics Vidhya

Introduction Machine learning has become an essential tool for organizations of all sizes to gain insights and make data-driven decisions. However, the success of ML projects is heavily dependent on the quality of data used to train models.

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Automating the Automators: Shift Change in the Robot Factory

O'Reilly on Data

What would you say is the job of a software developer? A layperson, an entry-level developer, or even someone who hires developers will tell you that job is to … well … write software. Pretty simple. An experienced practitioner will tell you something very different.

Modeling 303
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A Guide To The Top 14 Types Of Reports With Examples Of When To Use Them

datapine

Table of Contents 1) What Is The Report Definition? 2) Top 14 Types Of Reports 3) What Does A Report Look Like? Businesses have been producing reports since, forever.

Reporting 199
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How AI Proof of Concept Helps You Succeed in Your AI Endeavor

DataFloq

Our client lost only a quarter of the budget they dedicated to an AI project because they chose to start with a proof of concept. The PoC allowed them to test their idea and fail fast with limited spending.

Testing 223
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Everything You Need to Know About Crypto

Speaker: Ryan McInerny, CAMS, FRM, MSBA - Principal, Product Strategy

This exclusive webinar with Ryan McInerny will teach you all about cryptocurrency and NFTs! Register to learn more about identifying crypto transactions, crypto asset market trends, managing risk and compliance, and supporting customers and partners using crypto-based payments.

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Ensemble Learning Methods: Bagging, Boosting and Stacking

Analytics Vidhya

Introduction Machine learning is great! But there’s one thing that makes it even better: ensemble learning. Ensemble learning helps enhance the performance of machine learning models. The concept behind it is simple. Multiple machine learning models are combined to obtain a more accurate model.

Analytics 290
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ChatGPT as a Python Programming Assistant

KDnuggets

Is ChatGPT useful for Python programmers, specifically those of us who use Python for data processing, data cleaning, and building machine learning models? Let's give it a try and find out. KDnuggets Originals Python

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The 2023 Market Agenda for Analytics: Empowering Workforces to Engage

David Menninger's Analyst Perspectives

Ventana Research recently announced its 2023 Market Agenda for Analytics , continuing the guidance we have offered for nearly two decades to help organizations derive optimal value from technology investments to improve business outcomes.

Marketing 130
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When Pristine Data Isn’t Pristine

DataFloq

The data that you consider pristine and absolutely perfect for its intended use can turn into an absolute mess overnight if the data is used in a different way.

Sales 167
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Exploring the Overlap: Cost Optimization and Digital Transformation

Speaker: Alex Jiménez, Managing Principal, Financial Service Consulting for EPAM

The largest banks have increased reserves for protection against deteriorating economic conditions. Should banks delay their digital transformation investments and focus on cost reductions? In this webinar, Alex Jiménez will walk us through that question and examine the prudent course of action.

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AWS Lambda Tutorial: Creating Your First Lambda Function

Analytics Vidhya

Introduction to AWS AWS, or Amazon Web Services, is one of the world’s most widely used cloud service providers. It is a cloud platform that provides a wide variety of services that can be used together to create highly scalable applications.

Analytics 292
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How to Use Python and Machine Learning to Predict Football Match Winners

KDnuggets

We will be learning web scraping and training supervised machine-learning algorithms to predict winning teams. KDnuggets Originals Machine Learning

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7 Mistakes to Avoid When Using Machine Learning for SEO

Smart Data Collective

Companies around the world are projected to spend over $300 billion on machine learning technology by 2030. There are a growing number of reasons that companies are investing in machine learning, but digital marketing is at the top of the list.

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How to Hack-Proof Your Home Security Cameras

DataFloq

Smart security cameras offer an easy, accessible way to keep your home and everything in it safe. However, the connectivity that makes them so convenient may also introduce significant vulnerabilities.

IoT 157
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The Anti-Money Laundering Act of 2020: Initial Catalysts, Current Implications, and Future Impacts

Speaker: Elizabeth "Paige" Baumann, Founder and CEO of Paige Baumann Advisory, LLC

In this session, Elizabeth “Paige” Baumann will cover the Anti-Money Laundering Act of 2020, which also includes the Corporate Transparency Act. She'll take a deep dive into the catalysts that brought on the act, the current implications of the act, and what impacts the act has on the future of banking and finance.

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Governing Ethical AI: Rules & Regulations Preventing Unethical AI

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Artificial intelligence (AI) is rapidly becoming a fundamental part of our daily lives, from self-driving cars to virtual personal assistants.

Analytics 282
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SQL and Data Integration: ETL and ELT

KDnuggets

In this article, we will discuss use cases and methods for using ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) processes along with SQL to integrate data from various sources. KDnuggets Evergreen KDnuggets Originals Data Engineering

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Data Visualization Boosts Business Scalability with Sales Mapping

Smart Data Collective

Data visualization tools have become very useful for many businesses. Companies use data visualization for trend mapping, data contextualization and various forms of business optimization. Therefore, it should come as no surprise that global companies are projected to spend over $10.2

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How AI and Machine Learning Help in Cybersecurity for Critical Infrastructure

DataFloq

Cyber-attacks are becoming increasingly common in today's highly interconnected world. What was once the stuff of fiction novels and movies, is now an everyday reality.

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The ABM Benchmark Survey

ABM gets better with age — but unfortunately, marketers don't have the luxury of pouring it into an oak barrel for a couple decades to let it mature. It’s clear there’s a maturity gap in ABM strategies, so how can marketers start closing it?

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Unlock Learnings with the January DataHour Sessions!

Analytics Vidhya

Introduction If you are looking for a platform where you can learn about Data Science, then look no more! Analytics Vidhya is the one. We have always kept our community at the centre stage of the ecosystem.

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Fast-track your next move with in-demand data skills

KDnuggets

DataCamp offers over 400 interactive courses, projects, and career tracks in the most popular data technologies such as Python, SQL, R, Power BI, and Tableau. Start today and save up to 67% on career-advancing learning. Products and Services Partners

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Optimizing Cost with DevOps on the Cloud

Smart Data Collective

Are you looking for a way to reduce the cost of your development efforts? DevOps on the cloud could be the answer! DevOps is an increasingly popular approach that combines software development and operations, allowing developers and IT professionals to work together more efficiently.

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How To Improve Your Omnichannel Marketing Strategy

DataFloq

An omnichannel marketing strategy can greatly increase revenue for firms. But neglecting to implement one can seriously hurt sales potential. Retailers can enhance their current omnichannel approach. This is possible through comprehending consumer journeys.

Marketing 157
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The Definitive Guide to Embedded Analytics

Data-driven decisions are no longer reserved for the few. Everyone needs data insights from the applications they use every day. Learn how embedded analytics is boosting user adoption, creating apps people love, and changing the game for software and SaaS providers.