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.
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 […].
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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.
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.
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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?
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.
Confluent
JANUARY 6, 2022
While Self-Balancing Clusters (SBC) perform effectively in balancing Apache Kafka® clusters, one of the common themes we hear from our users is that they would love some visibility into the […].
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 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.
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.
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
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.
DataKitchen
JANUARY 3, 2022
The post Data Science and AI Predictions 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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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).
KDnuggets
JANUARY 7, 2022
This article will show you what SQL concepts you should know as an experienced professional.
KDnuggets
JANUARY 6, 2022
Integrate Excel with Word to generate automated reports seamlessly.
KDnuggets
JANUARY 4, 2022
Join renowned surgeon and author, Atul Gawande, and J&J’s Chief Data Science Officer, Najat Khan, for a special event on driving exceptional performance.
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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