January, 2022

Overview of MLOps With Open Source Tools

Analytics Vidhya

This article was published as a part of the Data Science Blogathon.

A busy year ahead in low-code and no-code development

DataKitchen

The post A busy year ahead in low-code and no-code development first appeared on DataKitchen. News News / PR

217
217
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Reltio Connects MDM in the Cloud for Business

David Menninger's Analyst Perspectives

Organizations today are working with multiple applications and systems, including enterprise resource planning (ERP), customer relationship management (CRM), supply chain management (SCM) and other systems, where data can easily become fragmented and siloed.

What’s ahead for AI, VR, NFTs, and more?

O'Reilly on Data

Every year starts with a round of predictions for the new year, most of which end up being wrong. But why fight against tradition? Here are my predictions for 2022. The safest predictions are all around AI. We’ll see more “AI as a service” (AIaaS) products.

The Essential Supply Chain Network Design Tooling Checklist

Dedicated supply chain network design software is fuelled by intuitive scenario analysis capabilities and powerful mathematical optimization. Answer 10 relevant questions to see if advanced network design & scenario modeling technology can help you.

All in the Data: Ways to Improve Your Data

The Data Administration Newsletter

Imagine what it would be like if your data was perfect. By perfect I mean fit for use and high quality.

Query Your Pandas DataFrames with SQL

KDnuggets

Learn how to query your Pandas DataFrames using the standard SQL SELECT statement, seamlessly from within your Python code. 2021 Oct Tutorials, Overviews SQL

109
109

More Trending

Fire Your Super-Smart Data Consultants with DataOps

DataKitchen

Analytics are prone to frequent data errors and deployment of analytics is slow and laborious. The strategic value of analytics is widely recognized, but the turnaround time of analytics teams typically can’t support the decision-making needs of executives coping with fast-paced market conditions.

The Digital Technology Market Agenda for 2022: Innovation for Business Resilience

David Menninger's Analyst Perspectives

I’m proud to share Ventana Research’s 2022 Market Agenda for Digital Technology.

What is Dark Data, Why Does it Matter, and Why Are Humans Still Needed?

Timo Elliot

Back in the 1960s, a pair of radio astronomers were busily collecting data on distant galaxies. They had been doing this for years. Elsewhere, other astronomers had been doing the same.

What is Privacy Engineering?

The Data Administration Newsletter

Introduction Privacy engineering, as a discrete discipline or field of inquiry and innovation, may be defined as using engineering principles and processes to build controls and measures into processes, systems, components, and products that enable the authorized, fair, and legitimate processing of personal information.

Omnichannel is Multichannel 2.0

Multichannel and omnichannel marketing are not the same. Many organizations are striving for omnichannel, but it can be a daunting journey—unless you have a map. Download your copy of the ultimate omnichannel guide today!

Fake It Till You Make It: Generating Realistic Synthetic Customer Datasets

KDnuggets

Finding the data you need is hard. So why not fake it? 2022 Jan Tutorials, Overviews Data Science

IT 106

Diabetes Prediction Using Machine Learning

Analytics Vidhya

This article was published as a part of the Data Science Blogathon.

Trend-Setting Products in Data and Information Management for 2022

DataKitchen

The post Trend-Setting Products in Data and Information Management for 2022 first appeared on DataKitchen. News News / PR

ThoughtSpot Enables Simpler Analytics with AI and NLP

David Menninger's Analyst Perspectives

Organizations today have huge volumes of data across various cloud and on-premises systems which keep growing by the second. To derive value from this data, organizations must query the data regularly and share insights with relevant teams and departments.

Common Use Cases for Mathematical Optimization

What is mathematical optimization and what are some of the most common use cases for across industries? How can this type of prescriptive analytics be applied to lower costs, reduce carbon emissions, and build more resilient supply chains? Find out in this guide.

The Role and Importance of Data Collection in Healthcare

Smart Data Collective

Did you know that global businesses are expected to spend $274 billion on big data this year? That figure is projected to grow at a rapid pace for years to come. The healthcare sector, in particular, has discovered a number of benefits of leveraging data technology.

Dark Data: How to Find It and What to Do with It

Timo Elliot

Like the proverbial man looking for his keys under the streetlight , when it comes to enterprise data, if you only look at where the light is already shining, you can end up missing a lot.

Data Science Web nugget Roundup, Jan 14: Kaggle Datasets & Python Debugging

KDnuggets

In our first weekly roundup of data science nuggets from around the web, check out a list of curated articles on Kaggle datasets, Python debugging tools, what it is data scientists do, an overview of YOLO, 2-dimensional PyTorch tensors, and the secrets of machine learning deployment.

TOP 10 GitHub Repositories for Data Science

Analytics Vidhya

Introduction Data science is a collaborative scientific field of computing that has grown many folds in recent years and has become the powerhouse behind the business decisions made by organizations in today’s time, be it the FAANG’s or early-stage startups.

Put Your Data to Work: The Complete Playbook

Turn your data into a competitive advantage. This playbook contains: Exclusive stats, research & insights on how the pandemic affected businesses. A comprehensive “Request For Proposal” (RFP) checklist and an interactive quiz to test your data knowledge.

Data Science and AI Predictions for 2022

DataKitchen

The post Data Science and AI Predictions for 2022 first appeared on DataKitchen. News News / PR

What Do We Talk About, When We Talk About Data?

Dataiku

Some people don’t engage with others on data and AI because they perceive a barrier between how they work with data and how they could work with data — call it an unrequited dream of something better.

IT 91

3 Huge Ways Big Data Analytics Benefits Businesses

Smart Data Collective

Savvy business owners recognize the importance of investing in big data technology. Companies that utilize big data strategically end up having a strong advantage against their competitors. However, despite the benefits big data provides, companies that are using it are in the minority.

Why Choose a Hybrid Data Cloud in Financial Services?

Cloudera

As I meet with our customers, there are always a range of discussions regarding the use of the cloud for financial services data and analytics.

Guide to Mathematical Optimization & Modeling

What is mathematical optimization and how does it compare to other types of analytics? Which tool should you use to develop optimization applications and scale them across the business? What are best practices for successful adoption? Read now.

Top Five SQL Window Functions You Should Know For Data Science Interviews

KDnuggets

Focusing on the important concepts for data scientists. 2022 Jan Tutorials, Overviews SQL

Interactive Tweet Sentiment Visualization

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction With the advent of social media, a lot of data has been generated and is being generated.

DataOps For Business Analytics Teams

DataKitchen

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.

Top 10 Charts in 2021

The Data Visualisation Catalogue

Another year has passed now and a new set of website statistics for 2021 is here, which will reveal what visualisation reference pages are the most popular.

The Retailer’s Guide to Marketing Data

Retailers are faced with extraordinary challenges – from changing consumer needs to unpredictable twists & turns in the economy. Learn how innovative retailers use zero-, first-, second-, and third-party data to find their best customers and drive repeat purchases.

AI Technology is Becoming Essential for App Store Publishers

Smart Data Collective

Artificial intelligence technology is becoming more valuable than ever. The market was estimated to be worth over $50 billion by the end of 2020 and is growing around 20% a year. One of the biggest reasons AI is growing in popularity is due to its role in mobile app design.

Really, What is Metaverse?

Andrew White

You would be out of step if you didn’t believe the press and hype that metaverse was a hot new thing. After the dust has started to settle and after reading as much as I can find on the topic, I am not so sure there is much to be discussed, yet, that is really new.

How to Process a DataFrame with Millions of Rows in Seconds

KDnuggets

TLDR; process it with a new Python Data Processing Engine in the Cloud. 2022 Jan Tutorials, Overviews Python

NLP Tutorials Part -I from Basics to Advance

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. […]. The post NLP Tutorials Part -I from Basics to Advance appeared first on Analytics Vidhya. Beginner NLP Python blogathon python

Implementing Supply Chain Network Design

Companies want to maximize service levels, but they also want to cut costs. These goals are often at odds with one another. How do you find the optimum balance? This guide offers hands-on advice that will help you use network design to achieve successful results.