August, 2022

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Metaverse: The time for CIOs to experiment is now

CIO

For the past forty years CIOs have labored to retrofit, rearchitect, and ultimately replace underfunded and underappreciated legacy infrastructures in hopes of delivering the full benefits associated with periodically occurring waves of transformative emerging technologies.

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Digital Fashion: The Next Frontier in Fashion

DataFloq

On September 13, 2021, Kim Kardashian donned an all-black attire by Balenciaga at the Met Gala. Her stark black Balenciaga haute couture gown with matching mask drew a lot of conversation online, even within the Fortnite community.

Marketing 283
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Qlik Advances Self-Service Analytics and Business Intelligence

David Menninger's Analyst Perspectives

The analytics and business intelligence market landscape continues to grow as more organizations seek robust tools and capabilities to visualize and better understand data. BI systems are used to perform data analysis, identify market trends and opportunities and streamline business processes.

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On Technique

O'Reilly Media

In a previous article , I wrote about how models like DALL-E and Imagen disassociate ideas from technique. In the past, if you had a good idea in any field, you could only realize that idea if you had the craftsmanship and technique to back it up. With DALL-E, that’s no longer true.

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Subsurface: The Ultimate Data Lakehouse Conference

Speaker: Panel Speakers

We’ve just opened registration for Subsurface LIVE 2023! Learn how to innovate with open source technologies such as Apache Arrow, Delta Lake, and more. Register now to secure your spot at Subsurface LIVE being held March 1-2, 2023.

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Building a simple Flask App using Docker vs Code

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction More often than not, developers run into issues of an application running on one machine versus not running on another. Dockers help prevent this by ensuring the application runs on any machine if it works on yours.

Analytics 264
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We are happy to be a B Corp Certified business

Phocas

We’re incredibly excited to announce that we’re officially B Corp Certified. We are among more than 400 companies in Australia and approximately 5100 companies worldwide to have this certification. This shows we have met the highest standards of social and environmental impact.

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What is Big Data and Human Privacy?

DataFloq

Yuval Noah Harari, a famous historian, posits, “Accumulation of data in the hands of governments, companies, and organizations renders human privacy vulnerable.” ” Spying on citizens has been present in human society from the very beginning.

Big Data 282
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Embed Analytics for Greater Reach and More Responsiveness

David Menninger's Analyst Perspectives

When I looked at the state of analytics recently , it was clear that analytics are not as widely deployed within organizations as they should be.

Analytics 148
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The Complete Data Science Study Roadmap

KDnuggets

This article will map out the things you need to do to become a data scientist. KDnuggets Originals Data Science

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Introduction to Requests Library in Python

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Requests in Python is a module that can be used to send all kinds of HTTP requests. It is straightforward to use and is a human-friendly HTTP Library.

Analytics 272
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4 Key Steps to Data Transformation Success with Data Mesh

It’s tougher than ever to give your clients the data and insight they need, when they need it (and how they want it) – while addressing issues like security. Find out how data mesh architectures can help you meet these challenges and more.

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7 Enterprise Applications for Companies Using Cloud Technology

Smart Data Collective

The market for cloud technology is booming. Companies spent over $405 billion on cloud services last year. The sudden growth is not surprising, because the benefits of the cloud are incredible. Enterprise cloud technology applications are the future industry standard for corporations.

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The 6 most overhyped technologies in IT

CIO

Many modern CIOs have adopted the mantra: No technology for technology’s sake. Yet they and other tech-enthusiasts still get enamored with the newest tool or excited by the latest leap in digital innovation.

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Important Technologies to Grow and Scale Your Tech Startup

DataFloq

There is no way around it – tech startups need to make several crucial investments early on in order to secure financial stability, ensure scalability and pave the road to long-term success.

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Expanding the Analytics Continuum: From Analysis to Action

David Menninger's Analyst Perspectives

I often use the term “analytics” to refer to a broad set of capabilities, deliberately broader than business intelligence. In this Perspective, I’d like to share what decision-makers should consider as they evaluate the range of analytics requirements for their organization.

Analytics 148
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5 Powerful Prescriptive Analytics Examples in Supply Chain

Prescriptive analytics is a type of advanced analytics that optimizes decision-making by providing a recommended action. Supply chain, with its complex planning questions, is typically an area where optimization technology is required. Read about 5 use cases.

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Build a Reproducible and Maintainable Data Science Project: A Free Online Book

KDnuggets

This free online book is a fantastic resource on how to structure, manage, and maintain your real-world data science projects. KDnuggets Originals Data Science

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The Ultimate Guide To Pandas For Data Science!

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction 2.5 quintillion bytes of data are produced every day! Consider how much we can deduce from that and what conclusions we can draw. But, how do we deal with such a massive amount of data?

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5 Ways B2B Companies Can Use Analytics for Pricing

Smart Data Collective

Analytics technology is very important for modern business. Companies spent over $240 billion on big data analytics last year. That figure is expected to grow as more businesses discover its benefits. There are many important applications of data analytics technology.

B2B 103
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How to use real-time data to make better, faster decisions

CIO

With so much diverse data available, why do so many companies still struggle to embrace the real-time, data-driven decision-making they need to be more agile? One thing is clear: The challenge isn’t solved by technology alone.

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Getting Started With Scenario Modeling in Supply Chain Network Design

To build your supply chain’s agility and responsiveness, you need to look at scenarios more frequently instead of relying on a single plan. Let’s explore how you can apply scenario modeling in supply chain network design.

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Moving to a Tokenized Economy: Challenges and Opportunities

DataFloq

Since Satoshi Nakamoto released the Bitcoin paper in 2008, we have come a long way in our collective understanding of how tokens impact our economy.

Finance 268
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Palantir Operationalizes Analytics and Data for Actions and Decisions

David Menninger's Analyst Perspectives

Organizations are managing and analyzing large datasets every day, identifying patterns and generating insights to inform decisions.

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5 Tricky SQL Queries Solved

KDnuggets

Explaining the approach to solving a few complex SQL queries. KDnuggets Republished SQL

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Most Frequently Asked NLP Interview Questions

Analytics Vidhya

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

Analytics 256
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Data Value Scorecard Report

This report examines the quantitative research of data leaders on data value and return on investment.

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What is the IoT and How is it Changing the World?

Smart Data Collective

The Internet of Things (IoT) has been on the rise in recent years, and it’s becoming more and more common among consumers, businesses, and governments alike.

IoT 100
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Digital twins are primed to revolutionize the infrastructure industry

CIO

Elaborating on some points from my previous post on building innovation ecosystems, here’s a look at how digital twins , which serve as a bridge between the physical and digital domains, rely on historical and real-time data, as well as machine learning models, to provide a virtual representation of physical objects, processes, and systems.

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Dealing With Air Pollution in Data Centers

DataFloq

Keeping data center air as free of contaminants as possible is essential to operations. It's important to those working inside the center, and a buildup of pollution could also damage the machinery. Outages are happening too frequently and are only becoming more expensive to deal with.

IoT 238
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Predicting the winners: How IBM uses data and AI at the US Open to drive insights and fan engagement

IBM Big Data Hub

As the US Open’s official technology partner, IBM Consulting works with the United States Tennis Association (USTA) to turn tennis data into engaging fan insights through AI and automation.

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Best Practices to Model Carbon Costs in Supply Chain Network Design

How to model carbon costs in your supply chain design? Make conscious choices by comparing scenarios indicating at which points in the supply chain carbon emissions occur and achieve the right balance between sustainability and cost.

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What Does ETL Have to Do with Machine Learning?

KDnuggets

ETL during the process of producing effective machine learning algorithms is found at the base - the foundation. Let’s go through the steps on how ETL is important to machine learning. KDnuggets Originals Machine Learning

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Multi-variate Time Series Forecasting using Kats Model

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Kats model-which is also developed by Facebook Research Team-supports the functionality of multi-variate time-series forecasting in addition to univariate time-series forecasting.

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The Future of AI: High Quality, Human Powered Data

Smart Data Collective

Artificial Intelligence (AI) has significantly altered how work is done. However, AI even has a bigger impact by enhancing human capabilities. Research conducted by the Harvard Business Review found that the interaction between machines and humans significantly improves firms’ performance.

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4 ways to create better customer experiences with data

CIO

Most organizations realize that using data to better understand customer needs and preferences is vital to creating consistently great customer experiences. The challenge many face is how to put all of the data they’re collecting to work toward that goal. .

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TCO Considerations of Using a Cloud Data Warehouse for BI and Analytics

Enterprises poured $73 billion into data management software in 2020 – but are seeing very little return on their data investments. 22% of data leaders surveyed have fully realized ROI in the past two years, with 56% having no consistent way of measuring it.