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

article thumbnail

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.

article thumbnail

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 […].

Insiders

Sign Up for our Newsletter

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

article thumbnail

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.

article thumbnail

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, […].

article thumbnail

LLMOps for Your Data: Best Practices to Ensure Safety, Quality, and Cost

Speaker: Travis Addair, Co-Founder and CTO at Predibase

Large Language Models (LLMs) such as ChatGPT offer unprecedented potential for complex enterprise applications. However, productionzing LLMs comes with a unique set of challenges such as model brittleness, total cost of ownership, data governance and privacy, and the need for consistent, accurate outputs. Putting the right LLMOps process in place today will pay dividends tomorrow, enabling you to leverage the part of AI that constitutes your IP – your data – to build a defensible AI strategy for

article thumbnail

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.

B2B 128
article thumbnail

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.

More Trending

article thumbnail

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.

145
145
article thumbnail

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.

Metrics 145
article thumbnail

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.

article thumbnail

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 […].

article thumbnail

Addressing Top Enterprise Challenges in Generative AI with DataRobot

The buzz around generative AI shows no sign of abating in the foreseeable future. Enterprise interest in the technology is high, and the market is expected to gain momentum as organizations move from prototypes to actual project deployments. Ultimately, the market will demand an extensive ecosystem, and tools will need to streamline data and model utilization and management across multiple environments.

article thumbnail

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.

article thumbnail

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 114
article thumbnail

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.

Big Data 111
article thumbnail

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.

article thumbnail

How to Deliver a Modern Data Experience Your Customers Will Love

In embedded analytics, keeping up with the pace of innovation is challenging. Download Qrvey's guide to ensure your analytics keep pace so you can solve your user's biggest challenges, delight them, and set your product apart from the competition. The guide outlines how to use embedded analytics to: Increase user satisfaction Go to market faster Create additional opportunities to monetize your product It also shares what to look for to ensure your embedded analytics are keeping up with the lates

article thumbnail

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.

article thumbnail

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

article thumbnail

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?

article thumbnail

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.; […].

article thumbnail

The Definitive Entity Resolution Buyer’s Guide

Are you thinking of adding enhanced data matching and relationship detection to your product or service? Do you need to know more about what to look for when assessing your options? The Senzing Entity Resolution Buyer’s Guide gives you step-by-step details about everything you should consider when evaluating entity resolution technologies. You’ll learn about use cases, technology and deployment options, top ten evaluation criteria and more.

article thumbnail

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.

article thumbnail

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.

article thumbnail

How To Enhance Your Analytics with Insightful ML Approaches

Smart Data Collective

Did you know that 53% of companies use data analytics technology ? Most of these companies have found that is is very useful. It can be even more valuable when used in conjunction with machine learning. Machine Learning Helps Companies Get More Value Out of Analytics. There are a lot of benefits of using analytics to help run a business. You will get even more value out of analytics if you leverage machine learning at the same time.

Analytics 109
article thumbnail

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.

IoT 299
article thumbnail

LLMs in Production: Tooling, Process, and Team Structure

Speaker: Dr. Greg Loughnane and Chris Alexiuk

Technology professionals developing generative AI applications are finding that there are big leaps from POCs and MVPs to production-ready applications. They're often developing using prompting, Retrieval Augmented Generation (RAG), and fine-tuning (up to and including Reinforcement Learning with Human Feedback (RLHF)), typically in that order. However, during development – and even more so once deployed to production – best practices for operating and improving generative AI applications are le

article thumbnail

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 138
article thumbnail

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.

Finance 98
article thumbnail

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.

article thumbnail

Top 40 Data Science Statistics Interview Questions

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction As Josh Wills once said, “A Data Scientist is a person who is better at statistics than any programmer and better at programming than any statistician“ Statistics is a fundamental tool when dealing with data and its analysis in Data Science. It provides […].

article thumbnail

Innovation Systems: Advancing Practices to Create New Value

As technology transforms the global business landscape, companies need to examine and update their internal processes for innovation to keep pace. Ultimately, organizations will have to improve the velocity of innovation by creating repeatable processes that support ideation, exploration, and incubation, essential to capturing an idea’s full value.

article thumbnail

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.

136
136
article thumbnail

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.

article thumbnail

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.

article thumbnail

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 […].

article thumbnail

How Intent Data Helps Marketers Convert A-List Accounts

One of the biggest challenges for any B2B marketer is understanding your prospects’ next move — who is most likely to buy and when. Without these insights, marketing campaigns can feel more like guesswork, with high investment and little return. We’re here to tell you there’s a better way. By tracking buyers’ digital footprints and online activity, such as website visits, product reviews, and spikes in content consumption, you can engage prospects with a message that really resonates.