Sat.Aug 27, 2022 - Fri.Sep 02, 2022

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Metaverse: The time for CIOs to experiment is now

CIO Business Intelligence

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. Debate now rages in IT and digital communities regarding what will be the seismic technological shift of the 2020s.

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Most Frequently Asked NLP Interview Questions

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Natural language processing (NLP) is the branch of computer science and, more specifically, the domain of artificial intelligence (AI) that focuses on providing computers the ability to understand written and spoken language in a way similar to that of humans. Combining computational linguistics […].

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Cloud Computing Realities – Part 1

David Menninger's Analyst Perspectives

The migration to cloud is obvious. Organizations are adopting cloud computing for all variety of applications and use cases. Managed cloud services, commonly referred to as software as a service (SaaS), offer many benefits to organizations including significantly reduced labor costs for system administration and maintenance, as many of these costs are shifted to the software vendor.

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What is AWS EFS? How to Optimize It?

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Amazon EFS is an AWS file-sharing service that allows you to manage file shares like those used in traditional networks. This works by mounting them to an Infrastructure as a Service (IaaS) compute instance or local computers using the NFS protocol. In this post, […].

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Leading the Development of Profitable and Sustainable Products

Speaker: Jason Tanner

While growth of software-enabled solutions generates momentum, growth alone is not enough to ensure sustainability. The probability of success dramatically improves with early planning for profitability. A sustainable business model contains a system of interrelated choices made not once but over time. Join this webinar for an iterative approach to ensuring solution, economic and relationship sustainability.

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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. One of the most important is with helping companies set their prices correctly. Analytics Can Be Essential for Helping Companies with their Pricing Strategies.

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6 key board questions CIOs must be prepared to answer

CIO Business Intelligence

Board directors like Jean Holley can be a CIO’s best friend or worst nightmare. A former CIO herself, Holley always reaches out to the CIO before board meetings to offer her advice on how to handle inevitable questions. “It’s amazing how many times they don’t take me up on it,” Holley says. These CIOs, especially those new to the role, often come off as overly techie, out of touch with the business, or worse, out of their depth in the position, she says.

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How to Select Rows and Columns in Pandas Using [ ],loc, iloc,at and.iat

KDnuggets

Subset selection is one of the most frequently performed tasks while manipulating data. Pandas provides different ways to efficiently select subsets of data from your DataFrame.

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MLOps Helps Mitigate the Unforeseen in AI Projects

DataRobot Blog

The latest McKinsey Global Survey on AI proves that AI adoption continues to grow and that the benefits remain significant. But in the COVID-19 pandemic’s first year, many felt more strongly about the cost-savings front than the top line. At the same time, AI remains complex and out of reach for many. For example, a recent IDC study 1 shows that it takes about 290 days on average to deploy a model into production from start to finish.

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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. Cloud computing has found its way into many business scenarios and is a relatively new concept for businesses.

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Machine Learning: Adversarial Attacks and Defense

Analytics Vidhya

Introduction Adversarial machine learning is a growing threat in the AI and machine learning research community. The most common reason is to cause a malfunction in a machine learning model; an adversarial attack might entail presenting a model with inaccurate or misrepresentative data as its training or introducing maliciously designed data to deceive an already […].

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Navigating the Future: Generative AI, Application Analytics, and Data

Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?

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The Difference Between Training and Testing Data in Machine Learning

KDnuggets

When building a predictive model, the quality of the results depends on the data you use. In order to do so, you need to understand the difference between training and testing data in machine learning.

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Getting Data Into Shape for Reporting with Power BI

Paul Turley

I see a lot of Power BI projects that we are asked to fix or performance tune, and at least nine times out of ten, the answer is that the data needs to be shaped and transformed so it is optimized for reporting.

Reporting 115
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Creative Ways to Leverage Big Data for an Optimal Marketing Plan

Smart Data Collective

Big data technology is becoming more important than ever for modern business owners. One study by the McKinsey Institute shows that data-driven organizations are 19 times more likely to be profitable. There are many benefits of using big data to run a business. One of the most important advantages is that big data can help with marketing. Big Data is Essential for Modern Marketing Strategies.

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How to extract keywords from News API headlines using NLP

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Search engines make use of keywords for search optimization. It is the best way to help users get the most out of their search. Bloggers and content writers use keywords to target their audience. Keyword extraction is important because it gives you […]. The post How to extract keywords from News API headlines using NLP appeared first on Analytics Vidhya.

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Get Better Network Graphs & Save Analysts Time

Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.

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Decision Tree Pruning: The Hows and Whys

KDnuggets

Decision trees are a machine learning algorithm that is susceptible to overfitting. One of the techniques you can use to reduce overfitting in decision trees is pruning.

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What CIOs everywhere can learn from Canada’s nationwide internet outage

CIO Business Intelligence

On July 8, 2022, a botched maintenance update on the Rogers ISP network in Canada crashed internet access across the country for at least 12 hours, with some customers experiencing problems for days afterward. The impact was profound. The nationwide outage affected phone and internet service for about 12.2 million customers – about 25% of Canada’s internet capacity – halting point-of-sale debit payments on the Interac network, preventing Rogers mobile phone users from accessing 9-1-1 services, d

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How Data Flow Works In MQ Telemetry Transport (MQTT)

Smart Data Collective

Data created by humans found on the Internet and on computers isn’t always accurate. Typing, scanning, taking pictures, or recording done by humans aren’t always reliable. But what if there are sensors on machines that collect data and are capable of communicating with other machines? What if there’s some kind of protocol that makes medical and personal gadgets, appliances, and other electronics send and receive data from each other?

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Real or Not? Disaster Tweets classification with RoBERTa

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Today we live in a world of active social networking where every kind of information is shared among users worldwide. This is greatly facilitated by the ubiquitousness of smartphones and other handheld communication devices. Some popular sites are Facebook, Whatsapp, LinkedIn, etc.; […].

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Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You Need to Know

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.

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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.

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Incremental Strategies to Move Your Data Strategy Forward Remove Obstacles to Unlock Possibilities in Financial Services

Cloudera

Firms are burdened with tech debt and endless regulatory compliance, often leaving innovation last to receive the necessary budgets. Data-fuelled innovation requires a pragmatic strategy. This blog lays out some steps to help you incrementally advance efforts to be a more data-driven, customer-centric organization. Embrace incremental progress. The financial sector’s evolution is unleashing myriad demands on firms operating in the market.

Strategy 105
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Cloud Computing Can Improve Human Resource Management

Smart Data Collective

Cloud technology is changing the future of business in many different ways. Countless companies have discovered the benefits cloud computing has to offer. As a result, 60% of companies have migrated to the cloud. One of the many benefits of cloud technology pertains to human resource management. A growing number of companies are storing employee data on the cloud, which makes it easier to handle certain HR tasks.

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How to Connect IoT Sensors Wirelessly With a Web Application

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction This article will discuss how we can wirelessly send data of various IoT sensors from a microcontroller to a web application. Also, we will store that data in a MongoDB database to process it according to our needs and requirements. Sending the […]. The post How to Connect IoT Sensors Wirelessly With a Web Application appeared first on Analytics Vidhya.

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How To Get Promoted In Product Management

Speaker: John Mansour

If you're looking to advance your career in product management, there are more options than just climbing the management ladder. Join our upcoming webinar to learn about highly rewarding career paths that don't involve management responsibilities. We'll cover both career tracks and provide tips on how to position yourself for success in the one that's right for you.

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Machine Learning Metadata Store

KDnuggets

In this article, we will learn about metadata stores, the need for them, their components, and metadata store management.

Metadata 156
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The 10 most in-demand IT jobs in finance

CIO Business Intelligence

The US financial services industry has fully embraced a move to the cloud, driving a demand for tech skills such as AWS and automation, as well as Python for data analytics, Java for developing consumer-facing apps, and SQL for database work. The push is part of an industrywide trend toward making banking more accessible by giving customers better access to savings accounts, investments, and loans through digital services, according to careers website Dice.com.

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Teradata VantageCloud Lake and ClearScape Analytics: Empowering Enterprise Analytical Innovation

Teradata

Teradata's new offerings, VantageCloud Lake and ClearScape Analytics, make it the complete cloud analytics & data platform, with cloud-native deployment and expanded analytics capabilities.

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How Apache Iceberg Works with Partitioning?

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Apache Iceberg is an open-source spreadsheet format for storing large data sets. It is an optimization technique where attributes are used to divide a table into different sections. Learn more about partitioning in Apache Iceberg and follow along to see how easy partitioning […].

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How Embedded Analytics Gets You to Market Faster with a SAAS Offering

Start-ups & SMBs launching products quickly must bundle dashboards, reports, & self-service analytics into apps. Customers expect rapid value from your product (time-to-value), data security, and access to advanced capabilities. Traditional Business Intelligence (BI) tools can provide valuable data analysis capabilities, but they have a barrier to entry that can stop small and midsize businesses from capitalizing on them.

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3 Ways to Append Rows to Pandas DataFrames

KDnuggets

Learn a simple way to append rows in the form of arrays, dictionaries, series, and dataframes to another dataframe.

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Expert tips for hiring (and retaining) data scientists

CIO Business Intelligence

With IT leaders increasingly needing data scientists to gain game-changing insights from a growing deluge of data, hiring and retaining those key data personnel is taking on greater importance. Without enough trained, high-level data scientists to fill all the job openings out there, CIOs are working with HR and hiring specialists to find ways to attract applicants.

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What Do You Want to be Famous for?

Teradata

Financial services organizations that exhibit true data literacy avoid bottlenecks and instead choose to build best in class solutions that meet current and future needs. Find out more.

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Training and Monitoring Multiple Models using Layer

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction We may encounter many issues when working on a machine learning project. It is challenging to train and monitor multiple models. It’s possible that each model has unique characteristics or parameters. Assessing and exploiting these models without suitable performance monitoring and model […].

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The Key to Sustainable Energy Optimization: A Data-Driven Approach for Manufacturing

Speaker: Kevin Kai Wong, President of Emergent Energy Solutions

In today's industrial landscape, the pursuit of sustainable energy optimization and decarbonization has become paramount. ♻️ Manufacturing corporations across the U.S. are facing the urgent need to align with decarbonization goals while enhancing efficiency and productivity. Unfortunately, the lack of comprehensive energy data poses a significant challenge for manufacturing managers striving to meet their targets. 📊 Join us for a practical webinar hosted by Kevin Kai Wong of Emergent Ene