KDnuggets
JANUARY 5, 2022
A critical problem for companies when integrating machine learning in their business processes is not knowing why they don't perform well after a while. The reason is called concept drift. Here's an informational guide to understanding the concept well.
Data Engineering Podcast
JANUARY 7, 2022
Summary Data observability is a set of technical and organizational capabilities related to understanding how your data is being processed and used so that you can proactively identify and fix errors in your workflows. In this episode Metaplane founder Kevin Hu shares his working definition of the term and explains the work that he and his team are doing to cut down on the time to adoption for this new set of practices.
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Confluent
JANUARY 5, 2022
Chances are your business is migrating to the cloud. But if you operate business applications in an on-premises datacenter, you know firsthand that the journey to the cloud is fraught […].
DataKitchen
JANUARY 3, 2022
Business analysts often find themselves in a no-win situation with constraints imposed from all sides. Their business unit colleagues ask an endless stream of urgent questions that require analytic insights. Business analysts must rapidly deliver value and simultaneously manage fragile and error-prone analytics production pipelines. Data tables from IT and other data sources require a large amount of repetitive, manual work to be used in analytics.
Speaker: Timothy Chan, PhD., Head of Data Science
Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.
KDnuggets
JANUARY 4, 2022
To support the creation of new and exciting ML and artificial intelligence (AI) applications, developers need a robust programming language. That's where the Python programming language comes in.
Data Engineering Podcast
JANUARY 1, 2022
Summary This has been an active year for the data ecosystem, with a number of new product categories and substantial growth in existing areas. In an attempt to capture the zeitgeist Maura Church, David Wallace, Benn Stancil, and Gleb Mezhanskiy join the show to reflect on the past year and share their thought son the year to come. Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management When you’re ready to build your next pipeline, or want to
Data Engineering Digest brings together the best content for data engineering professionals from the widest variety of industry thought leaders.
DataKitchen
JANUARY 7, 2022
The post Trend-Setting Products in Data and Information Management for 2022 first appeared on DataKitchen.
KDnuggets
JANUARY 6, 2022
Semantic segmentation is a computer vision problem that entails putting related elements of an image into the same class. Read on to discover more, including the difficulties associated with annotation.
Grouparoo
JANUARY 5, 2022
At Grouparoo, we use a lot of TypeScript. We are always striving to enhance our usage of strong TypeScript types to make better software, and to make it easier to develop Grouparoo. Strong types make it easy for team members to get quick validation about new code, and see hints and tips in their IDEs - a double win! Recently, I found myself repeating a lot of metadata when defining a new API endpoint as I was working to enable noImplicitAny within the @grouparoo/core project.
Teradata
JANUARY 4, 2022
From supply chain to inflation, our top retail industry consultants weigh in on what the retail & CPG industry will experience in 2022 and beyond.
Speaker: Anne Steiner and David Laribee
As a concept, Developer Experience (DX) has gained significant attention in the tech industry. It emphasizes engineers’ efficiency and satisfaction during the product development process. As product managers, we need to understand how a good DX can contribute not only to the well-being of our development teams but also to the broader objectives of product success and customer satisfaction.
DataKitchen
JANUARY 3, 2022
The post Data Science and AI Predictions for 2022 first appeared on DataKitchen.
KDnuggets
JANUARY 5, 2022
During transfer learning, the knowledge leveraged and rapid progress from a source task is used to improve the learning and development to a new target task. Read on for a deeper dive on the subject.
Hepta Analytics
JANUARY 4, 2022
Today my first LinkedIn Learning course on securing fintech solutions went live! Securing fintech solutions from Security in Fintech Essential Training by Emmanuel Chebukati It was an exciting surprise to wake up to the notifications of the course’s release, and to see the initial reactions it elicited. This demonstrative course covers the essentials that fintech providers and professionals in the industry ought to implement to arrive at a baseline security posture.
Teradata
JANUARY 6, 2022
Learn more about the pressures and some of the potential responses for banks in the rapidly evolving area of climate risk.
Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage
Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.
RudderStack
JANUARY 5, 2022
In 2021, we wrote about trends we saw emerging in data engineering and made a few predictions. Here, we revisit those predictions and make a few for 2022.
KDnuggets
JANUARY 3, 2022
This is part 3 of my hands-on course on reinforcement learning, which takes you from zero to HERO. Today we will learn about SARSA, a powerful RL algorithm.
Data Engineering Podcast
JANUARY 1, 2022
Summary Communication and shared context are the hardest part of any data system. In recent years the focus has been on data catalogs as the means for documenting data assets, but those introduce a secondary system of record in order to find the necessary information. In this episode Emily Riederer shares her work to create a controlled vocabulary for managing the semantic elements of the data managed by her team and encoding it in the schema definitions in her data warehouse.
ProjectPro
JANUARY 6, 2022
Can you believe that the human brain takes only 13 milliseconds to process an image? Humans crave stories, and visualizations allow us to create one from data. The majority of data that data scientists and machine learning engineers work with is in a structured or unstructured format that is challenging for humans to analyze and comprehend. Understanding data requires the use of data visualizations, and this is because visuals are processed 60,000 times faster than text inside the human brain.
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Are you trying to decide which entity resolution capabilities you need? It can be confusing to determine which features are most important for your project. And sometimes key features are overlooked. Get the Entity Resolution Evaluation Checklist to make sure you’ve thought of everything to make your project a success! The list was created by Senzing’s team of leading entity resolution experts, based on their real-world experience.
RudderStack
JANUARY 6, 2022
This post details our engineering team's decision making process for optimizing our Javascript SDK and highlights the results of their work.
KDnuggets
JANUARY 3, 2022
Over a year ago, I lost my job due to the COVID-19 pandemic. During this this, I taught myself data science and tripled my income.
phData: Data Engineering
JANUARY 3, 2022
What is Data Engineering? Everything You Need to Know in 2022 Nick Goble January 4, 2022 It’s easy to overlook the amount of data that’s being generated every day — from your smartphone, your Zoom calls, to your Wi-Fi-connected dishwasher. It is estimated that the world will have created and stored 200 Zettabytes of data by the year 2025.
Data Engineering Podcast
JANUARY 7, 2022
Summary Reverse ETL is a product category that evolved from the landscape of customer data platforms with a number of companies offering their own implementation of it. While struggling with the work of automating data integration workflows with marketing, sales, and support tools Brian Leonard accidentally discovered this need himself and turned it into the open source framework Grouparoo.
Speaker: Margaret-Ann Seger, Head of Product, Statsig
Experimentation is often seen as an aspirational practice, especially at smaller, fast-moving companies who are strapped for time and resources. So, how can you get your team making decisions in a more data-driven way while continuing to remain lean and maintaining ship velocity? In this webinar, Margaret-Ann Seger, Head of Product at Statsig, will teach you how to build an experimentation culture from the ground-up, graduating from just getting started with data-driven development to operating
RudderStack
JANUARY 7, 2022
Leveraging RudderStack with Braze, you can effortlessly sync data in and out of the customer engagement platform.
KDnuggets
JANUARY 4, 2022
Here are 15 neural network projects you can take on in 2022 to build your skills, your know-how, and your portfolio.
phData: Data Engineering
JANUARY 3, 2022
DataOps: What Is It, Core Principles, and Tools For Implementation Nick Goble January 3, 2022 When building a successful company, it’s critical to have a strategy around how you build and scale your business from a technology and data perspective. Your business likely has competitors that are trying to beat you to market, technology is constantly evolving, and so are your customers.
Monte Carlo
JANUARY 5, 2022
When it comes to trusting your data, Monte Carlo, the leading data observability platform and dbt Core are better together. “Why didn’t my job run?” “What happened to this dashboard?” “Why is this column missing?” “What went wrong with my data?!” If you’ve been on the receiving end of a broken data pipeline, these questions probably look familiar to you.
Speaker: David Bard, Principal at VP Product Coaching
In the fast-paced world of digital innovation, success is often accompanied by a multitude of challenges - like the pitfalls lurking at every turn, threatening to derail the most promising projects. But fret not, this webinar is your key to effective product development! Join us for an enlightening session to empower you to lead your team to greater heights.
Rockset
JANUARY 5, 2022
Rockset is the real-time analytics database in the cloud for modern data teams. Get faster analytics on fresher data, at lower costs, by exploiting indexing over brute-force scanning. It's not your father’s Oracle cluster, but better.* We all know the lightning pace of software innovation. Show me a technology or platform that’s been around for a decade, and I’ll show you an outmoded relic that’s been leapfrogged by faster, more efficient competitors.
KDnuggets
JANUARY 3, 2022
Also: 6 Predictive Models Every Beginner Data Scientist Should Master; The Best ETL Tools in 2021; Write Clean Python Code Using Pipes; Three R Libraries Every Data Scientist Should Know (Even if You Use Python).
ProjectPro
JANUARY 4, 2022
Whether it is predicting the likelihood of having a heart attack based on weight and workout routine or predicting the probability of email being spam based on the country of origin and word count -logistic regression is widely used because of its remarkable results. It is a machine learning method to solve a classification problem by differentiating one class from another in a given dataset.
KDnuggets
JANUARY 7, 2022
This article will show you what SQL concepts you should know as an experienced professional.
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“Reimagined: Building Products with Generative AI” is an extensive guide for integrating generative AI into product strategy and careers featuring over 150 real-world examples, 30 case studies, and 20+ frameworks, and endorsed by over 20 leading AI and product executives, inventors, entrepreneurs, and researchers.
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