DataKitchen
OCTOBER 22, 2021
The post Tech workers warned they were going to quit. Now, the problem is spiralling out of control first appeared on DataKitchen.
David Menninger's Analyst Perspectives
OCTOBER 26, 2021
Databricks is a data engineering and analytics cloud platform built on top of Apache Spark that processes and transforms huge volumes of data and offers data exploration capabilities through machine learning models. It can enable data engineers, data scientists, analysts and other workers to process big data and unify analytics through a single interface.
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Analytics Vidhya
OCTOBER 19, 2021
This article was published as a part of the Data Science Blogathon Snowflake is a cloud data platform that comes with a lot of unique features when compared to traditional on-premise RDBMS systems. In this tutorial, you will see the top 5 features that developers should know before implementing a solution on the Snowflake data […]. The post 5 Features Of Snowflake That Data Engineers Must Know appeared first on Analytics Vidhya.
O'Reilly on Data
OCTOBER 12, 2021
Kevlin Henney and I were riffing on some ideas about GitHub Copilot , the tool for automatically generating code base on GPT-3’s language model, trained on the body of code that’s in GitHub. This article poses some questions and (perhaps) some answers, without trying to present any conclusions. First, we wondered about code quality. There are lots of ways to solve a given programming problem; but most of us have some ideas about what makes code “good” or “bad.”
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.
DataRobot
OCTOBER 18, 2021
I have a confession to make—I’m a back-seat driver! When sitting in a taxi, I can’t help but grumble when the ride isn’t smooth, or the driver chooses the slowest lane of traffic. I have to fight the urge to take control. When it comes to shopping, I passively accept what is offered for sale. But my wife, who grew up in Asia where haggling is part of the culture, is different.
Dataiku
OCTOBER 13, 2021
Let’s be frank — creating a lasting data culture in your company isn’t going to happen overnight. No technology you install or datasets you gather will do that for you. You need time and, as we’ve seen across pop culture, it usually takes a new idea or innovation (or an old idea packaged as new) to change culture. This change usually falls on data leaders to drive because they have a unique perspective across data, technology, and the organization.
Data Leaders Brief brings together the best content for data, strategy, and BI professionals from the widest variety of industry thought leaders.
David Menninger's Analyst Perspectives
OCTOBER 5, 2021
Alteryx is a data analytics software company that offers data preparation and analytics tools to simplify and automate data wrangling, data cleaning and modeling processes, enabling line-of-business personnel to quickly access, manipulate, analyze and output data. The platform features tools to run a variety of analytic functions such as diagnostic, predictive, prescriptive and geospatial analytics in a unified platform, and can connect to various data warehouses, cloud applications, spreadsheet
Analytics Vidhya
OCTOBER 20, 2021
This article was published as a part of the Data Science Blogathon Overview What is a Framework FrontEnd vs BackEnd What is Flask Framework Installation of Flask Creating our first Flask app Routing Static Route vs Dynamic Route HTML Injections HTML Escaping Hypertext Transfer Protocol GET and POST Methods What is a Framework? The framework […].
Smart Data Collective
OCTOBER 15, 2021
Big data technology has been a highly valuable asset for many companies around the world. Countless companies are utilizing big data to improve many aspects of their business. Some of the best applications of data analytics and AI technology has been in the field of marketing. Data-Driven Marketing is More Important than Ever. The competition out there is fierce, so it is vital that you find ways to make your business stand out from the crowd.
Juice Analytics
OCTOBER 14, 2021
Pressure is building for companies to provide more transparency into the diversity of their workforce. Along with the #MeToo and BLM social movements, there are economic reasons why diversity data can be an indicator of company health. “A McKinsey study found that companies in the top quartile for gender diversity in corporate leadership had a 21% likelihood of outperforming bottom-quartile industry peers on profitability.
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.
Dataiku
OCTOBER 4, 2021
Using RNNs & DeepAR Models to Find Out. Time series forecasting use cases are certainly the most common time series use cases, as they can be found in all types of industries and in various contexts. Whether it is forecasting future sales to optimize inventory, predicting energy consumption to adapt production levels, or estimating the number of airline passengers to ensure high-quality services, time is a key variable.
DataKitchen
OCTOBER 7, 2021
The post How Predictive and Prescriptive Analytics Improve the Call Center Experience first appeared on DataKitchen.
David Menninger's Analyst Perspectives
OCTOBER 19, 2021
Access to external data can provide a competitive advantage. Our research shows that more than three-quarters (77%) of participants consider external data to be an important part of their machine learning (ML) efforts. The most important external data source identified is social media, followed by demographic data from data brokers. Organizations also identified government data, market data, environmental data and location data as important external data sources.
Analytics Vidhya
OCTOBER 7, 2021
This article was published as a part of the Data Science Blogathon Overview Data provides us with the power to analyze and forecast the events of the future. With each day, more and more companies are adopting data science techniques like predictive forecasting, clustering, and so on. While it’s very intriguing to keep learning about complex […].
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Smart Data Collective
OCTOBER 22, 2021
1.145 trillion megabytes! Unbelievably, this is the amount of data that was created every day in 2021. That’s a lot of data and a lot of work for experts working in the field of data science services. Amidst growing competition, businesses are under increasing pressure to come up with unique and more cost-effective ways to manufacture and market their products.
Depict Data Studio
OCTOBER 26, 2021
Depict Data Studio full courses always end with a graduation ceremony where participants share the progress they’ve made in the course. I’m always amazed by the transformations that take place and I can’t help but want to share their wonderful work! In this blog post, you’ll learn from Elizabeth Dove. Elizabeth is a professor at the University of Montana who teaches art and design.
Dataiku
OCTOBER 27, 2021
Any small or midsize business (SMB) that’s serious about making the use of data, analytics, and AI everyday behavior for everyone is using a version of the modern data stack architecture. It can even make sense in the enterprise context for teams just getting started on their AI journey.
DataKitchen
OCTOBER 19, 2021
The post Data Quality: Volume, interdependencies can create big problems first appeared on DataKitchen.
Speaker: Nicholas Zeisler, CX Strategist & Fractional CXO
The first step in a successful Customer Experience endeavor (or for that matter, any business proposition) is to find out what’s wrong. If you can’t identify it, you can’t fix it! 💡 That’s where the Voice of the Customer (VoC) comes in. Today, far too many brands do VoC simply because that’s what they think they’re supposed to do; that’s what all their competitors do.
David Menninger's Analyst Perspectives
OCTOBER 7, 2021
The technology industry throws around a lot of similar terms with different meanings as well as entirely different terms with similar meanings. In this post, I don’t want to debate the meanings and origins of different terms; rather, I’d like to highlight a technology weapon that you should have in your data management arsenal. We currently refer to this technology as data virtualization.
Analytics Vidhya
OCTOBER 2, 2021
This article was published as a part of the Data Science Blogathon Overview In the current scenario, the Data science field is dominated by Python/R but there is another competition added not so long ago, Julia! which we will be exploring in this guide. The famous quote (motto) of Julia is – Looks like Python, runs […]. The post Introduction to Deep Learning in Julia appeared first on Analytics Vidhya.
Smart Data Collective
OCTOBER 23, 2021
Satoshi Nakamoto introduced the world to bitcoin in 2008. Many people speculated that the virtual currency would never gain traction and become extinct. However, it has grown faster than even some of the staunchest supporters originally predicted. Advances in AI and machine learning technology have been important in setting the trend for bitcoin. It’s been over a decade since the cryptocurrencies were introduced to the world and since it has become increasingly popular.
Cloudera
OCTOBER 19, 2021
Airflow has been adopted by many Cloudera Data Platform (CDP) customers in the public cloud as the next generation orchestration service to setup and operationalize complex data pipelines. Today, customers have deployed 100s of Airflow DAGs in production performing various data transformation and preparation tasks, with differing levels of complexity.
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Dataiku
OCTOBER 21, 2021
Ever wanted to know more about the people behind your favorite Everyday AI platform? You're in luck — every few weeks, meet some of the humans at Dataiku working to ensure customers and users find success as they systemize the use of data and AI in their organizations. This week, we spoke with three sales leaders: Doreen, RVP Inside Sales EMEA; Natália, RVP UK&I; and Rachel, VP Sales and General Manager Central Europe.
DataKitchen
OCTOBER 19, 2021
The post Data Engineers are Burned Out and Calling for DataOps first appeared on DataKitchen.
Depict Data Studio
OCTOBER 19, 2021
Depict Data Studio full courses always end with a graduation ceremony where students share the progress they’ve made in the course. I’m always amazed by the transformations that take place and I can’t help but want to share their wonderful work! Today you’ll learn from Kelsey Watterson, an evaluator at the Centerstone Research Institute. Thanks for sharing Kelsey!
Analytics Vidhya
OCTOBER 23, 2021
This article was published as a part of the Data Science Blogathon This article was published as a part of the Data Science Blogathon Synopsis of Time Series Analysis A Time-Series represents a series of time-based orders. It would be Years, Months, Weeks, Days, Horus, Minutes, and Seconds A time series is an observation […]. The post A Comprehensive Guide to Time Series Analysis appeared first on Analytics Vidhya.
Speaker: Aindra Misra, Sr. Staff Product Manager of Data & AI at BILL (Previously PM Lead at Twitter/X)
Embark on a transformation journey into the heart of the data ecosystem! This webinar is your gateway to a deeper comprehension of the foundations that drive the data industry and will equip you with the knowledge needed to navigate the evolving landscape. Delve into the diverse use cases where data analytics plays a pivotal role. We’ll explore how these applications are transforming with the introduction of Gen AI, and discuss the anticipated use cases for 2024 and beyond.
Smart Data Collective
OCTOBER 13, 2021
We mentioned previously that bias is a big problem in machine learning that has to be mitigated. People need to take important steps to help mitigate it for the future. Regardless of how culturally, socially, or environmentally aware people consider themselves to be, bias is an inherent trait that everyone has. We are naturally attracted to facts that confirm our own beliefs.
Cloudera
OCTOBER 18, 2021
It’s that time of year again… Award season! We are thrilled to announce the finalists of the 2021 Data Impact Awards. This year’s entrants have excelled at demonstrating how innovative data solutions can help solve real-time challenges and positively impact people around the world. . The entries are some of the most remarkable we’ve seen, giving our judges the tough task of selecting an award worthy shortlist.
Dataiku
OCTOBER 26, 2021
Managing one model at a time is pretty easy. But how do you go about managing tens of models, or even more? Vincent Gallmann, Senior Data Scientist at French bank FLOA , answered this question in a 2021 Product Days Session on managing data science projects with Dataiku.
DataKitchen
OCTOBER 8, 2021
The post DataOps Lowers The Cost Of Asking Analytic Questions first appeared on DataKitchen.
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
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