Trending Articles

HPE is in talks to buy Nutanix: Report

CIO

Hewlett Packard Enterprise (HPE) is in talks to acquire cloud computing firm Nutanix, Bloomberg reported on Thursday, quoting sources familiar with the matter. The deal between the two companies could be mutually benefitial according to experts.

Overcoming Data Silos to Increase Business Agility

DataFloq

Data lies at the heart of every modern organization. This data is often trapped in silos and inaccessible to business users for reporting and analytics. Data silos prevent businesses from performing analytics and making educated choices based on said analytics.

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Top 5 Interview Questions on Multi-modal Transformers

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Source: totaljobs.com Introduction Until recently, developing new, improved transformers specifically for a single modality was common practice.

IBM Builds on Analytics and BI Foundation

David Menninger's Analyst Perspectives

In today’s data-driven world, organizations need real-time access to up-to-date, high-quality data and analysis to keep pace with changing market dynamics and make better strategic decisions. By mining meaningful insights from enterprise data quickly, they gain a competitive advantage in the market.

Monetizing Analytics Features: Why Data Visualization Will Never Be Enough

Five years ago, data visualizations were a powerful way to differentiate a software application. Today, free visualizations seem to be everywhere. Two trends are forcing application providers to rethink how they offer analytics in their products.

What Google Recommends You do Before Taking Their Machine Learning or Data Science Course

KDnuggets

First steps to learning data science & machine learning are the foundations. KDnuggets Republished Career Advice

How AI and Chatbots are Changing the Development Landscape

DataFloq

Artificial intelligence , along with deep learning systems, is one of the key driving forces in modern software and hardware development.

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An Introduction to Julia for Data Analysis

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Which language do we use when it comes to data analysis? Of course, Python, isn’t it? But there is one more language for data analysis which is growing rapidly.

AI’s ‘SolarWinds Moment’ Will Occur; It’s Just a Matter of When

O'Reilly on Data

Major catastrophes can transform industries and cultures. The Johnstown Flood, the sinking of the Titanic, the explosion of the Hindenburg, the flawed response to Hurricane Katrina–each had a lasting impact.

IT 147

How I Got 4 Data Science Offers and Doubled My Income 2 Months After Being Laid Off

KDnuggets

In this blog, I shared my story on getting 4 data science job offers including Airbnb, Lyft and Twitter after being laid off. Any data scientist who was laid off due to the pandemic or who is actively looking for a data science position can find something here to which they can relate.

Cloud-based App Development: Cost, Time and Benefits

DataFloq

As technology continues to advance with cutting-edge breakthroughs, cloud-based solutions are taking over the digital sphere. The world's top businesses are relying on cloud computing apps to keep their operations running efficiently.

The 2023 Supply Chain Crystal Ball: Challenges and Solutions

Speaker: Olivia Montgomery, Associate Principal Supply Chain Analyst

Curious to know how your peers are navigating ongoing disruption? In this webinar, you’ll gain actionable insights from Olivia Montgomery as she walks us through Capterra’s extensive research on how businesses - notably small and midsize businesses - are addressing supply chain challenges in 2023.

Carhartt turns to data under new CIO

CIO

Carhartt’s signature workwear is near ubiquitous, and its continuing presence on factory floors and at skate parks alike is fueled in part thanks to an ongoing digital transformation that is advancing the 133-year-old Midwest company’s operations to make the most of advanced digital technologies, including the cloud, data analytics, and AI.

Dapp Deployment Using Quick Node RPC

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Let’s say you want to build Dapp on top of the blockchain. So you wrote the code and configured your specification. Now you need to deploy it on the blockchain.

DataOps Observability and Automation to the Rescue!

DataKitchen

Data Team members, have you ever felt overwhelmed? The never-ending flow of new information can be stressful, and it’s hard to know where to start. Well, don’t worry because DataOps is here to help!

The Inescapable Conclusion: Machine Learning Is Not Like Your Brain

KDnuggets

The final article in this nine-part series summarizes the many reasons why Machine Learning is not like your brain - along with a few similarities. KDnuggets Originals Artificial Intelligence

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.

5 Ways To Improve Customer Experience Via Text-to-Speech Technology

DataFloq

Modern customers expect more from brands as a result of rapid technological advancements. The majority of customers expect companies to be able to understand their unique needs. Adapting to customers' changing desires has become essential for brands to remain competitive.

CIO100 2022: Honouring the top tech leaders and teams in ASEAN and Hong Kong

CIO

CIO is proud to unveil the expanded CIO100 awards in 2022, recognising the top 100 senior technology executives and teams driving innovation, strengthening resiliency, and influencing rapid change.

Top Customer Analytics Interview Questions

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Data and Information about a Customer are important for all businesses and companies. For a business to be data-driven, a Company needs to be highly data-driven and focus highly on customer analytics.

DataOps Observability: Taming the Chaos (Part 4)

DataKitchen

Part 4: Reviewing the Benefits. This is the final post in DataKitchen’s four-part series on DataOps Observability.

Intent Signal Data 101

Intent signal data helps B2B marketers engage with buyers sooner in the sales cycle. But there are many confusing terms used to describe intent data. Read this infographic to better understand three common areas of confusion.

The Complete Data Engineering Study Roadmap

KDnuggets

Everything you need to know to start your career in Data Engineering. KDnuggets Evergreen KDnuggets Originals Data Engineering

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How the Metaverse will Change Media & Entertainment

DataFloq

On 15 November, I delivered a keynote on the metaverse at the Global Media Congress in Abu Dhabi.

AWS adds machine learning capabilities to Amazon Connect

CIO

In a bid to help enterprises offer better customer service and experience , Amazon Web Services (AWS) on Tuesday, at its annual re:Invent conference, said that it was adding new machine learning capabilities to its cloud-based contact center service, Amazon Connect.

Saving the Titanic Using Azure AutoML!

Analytics Vidhya

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

Modern Data Architecture for Embedded Analytics

Data has gone from a mere result of applications & processes to being crowned king. Picking the right avenue to data architecture depends on your organization’s needs. Development teams should build in stages, starting with a task that can be solved.

Embeddable AI saves time building powerful AI applications

IBM Big Data Hub

Just a few weeks ago, IBM announced an expansion to their embeddable AI software portfolio with the release of three containerized Watson libraries.

Scikit-learn for Machine Learning Cheatsheet

KDnuggets

The latest KDnuggets exclusive cheatsheet covers the essentials of machine learning with Scikit-learn. KDnuggets Evergreen KDnuggets Originals Machine Learning

10 Tips for Visualizing Blockchain Data

DataFloq

The main purpose of data analytics is to uncover hidden meanings in data. If it were easy to look at raw data and interpret what it means, there wouldn't be a need for sophisticated data analytics.

How Cloud is Revolutionizing Your Travel and Hospitality Experience

CIO

In the age of disruptive business models and constant competition, the travel and hospitality industry, like most industries, needs to deliver services in real-time.

A Deep Dive Into Supply Chain Strategy: Why Yours Isn't Working

Speaker: Michelle Meyer, Founder and CEO of MatterProviders

Michelle Meyer is here to walk you through the future of supply chain strategy, and why your current approach is probably not working. In this exclusive webinar, she will explore ways to develop and perfect your new supply chain design in this post-pandemic era of economic uncertainty.

Parametric and Non-Parametric Correlation in Data Science!

Analytics Vidhya

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

It’s Never Too Early to Get Into Tech Sales: Discover Dataiku’s BDR Program

Dataiku

It’s never too early to get into tech sales. At least that’s what we believe here at Dataiku.

Sales 82

8 Best Python Image Manipulation Tools

KDnuggets

Want to extract underlying data from images? This article lists some of the best Python image manipulation tools that help you transform images. KDnuggets Originals Computer Vision

76

How Organizations Can Leverage AI to Improve Recycling

DataFloq

Recycling is proving to be a big challenge for even the world's largest economies. According to recent data, more than 90 million tons of recyclable material are in United States landfills every year.

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.