This site uses cookies to improve your experience. To help us insure we adhere to various privacy regulations, please select your country/region of residence. If you do not select a country, we will assume you are from the United States. Select your Cookie Settings or view our Privacy Policy and Terms of Use.
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Used for the proper function of the website
Used for monitoring website traffic and interactions
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Strictly Necessary: Used for the proper function of the website
Performance/Analytics: Used for monitoring website traffic and interactions
This article was published as a part of the Data Science Blogathon Image 1 Introduction In this article, I will use the YouTube Trends database and Python programming language to train a language model that generates text using learning tools, which will be used for the task of making youtube video articles or for your blogs. […]. The post Building a Machine Learning Model for Title Generation appeared first on Analytics Vidhya.
MONDAY, 6 SEPTEMBER 2021 – Corinium Global Intelligence (“Corinium” or “the Group”), the global B2B information service provider of events and market intelligence company, has announced its acquisition of RE•WORK today. RE•WORK is the leading events provider for deep learning as well as applied AI. Its events have been bringing together the latest technological advancements as well as practical examples to apply AI to solve challenges in business and society since 2013.
In June 2021, we asked the recipients of our Data & AI Newsletter to respond to a survey about compensation. The results gave us insight into what our subscribers are paid, where they’re located, what industries they work for, what their concerns are, and what sorts of career development opportunities they’re pursuing. While it’s sadly premature to say that the survey took place at the end of the COVID-19 pandemic (though we can all hope), it took place at a time when restrictions were loose
Collibra is a data governance software company that offers tools for metadata management and data cataloging. The software enables organizations to find data quickly, identify its source and assure its integrity. Line-of-business workers can use it to create, review and update the organization's policies on different data assets. Collibra’s software uses a microservice architecture and open application programming interfaces to connect to various data ecosystems.
AI adoption is reshaping sales and marketing. But is it delivering real results? We surveyed 1,000+ GTM professionals to find out. The data is clear: AI users report 47% higher productivity and an average of 12 hours saved per week. But leaders say mainstream AI tools still fall short on accuracy and business impact. Download the full report today to see how AI is being used — and where go-to-market professionals think there are gaps and opportunities.
Data organizations don’t always have the budget or schedule required for DataOps when conceived as a top-to-bottom, enterprise-wide transformational change. An essential part of the DataOps methodology is Agile Development , which breaks development into incremental steps. DataOps can and should be implemented in small steps that complement and build upon existing workflows and data pipelines.
In today’s modern era, AI and IoT are technologies poised to impact every part of the industry and society radically. Because most businesses devote their primary efforts to developing their brand, software applications, or network, new technologies are apt to transform how they operate. In addition, as companies attempt to draw better significance from the huge datasets gathered by linked devices, the potential of AI is accelerating the wider implementation of IoT.
This article was published as a part of the Data Science Blogathon Introduction I have been associated with Analytics Vidya from the 3rd edition of Blogathon. Unlike hackathons, where we are supposed to come up with a theme-oriented project within the stipulated time, blogathons are different. Blogathons are competitions that are conducted for over a month […].
This article was published as a part of the Data Science Blogathon Introduction I have been associated with Analytics Vidya from the 3rd edition of Blogathon. Unlike hackathons, where we are supposed to come up with a theme-oriented project within the stipulated time, blogathons are different. Blogathons are competitions that are conducted for over a month […].
Artificial Intelligence (AI) is the most talked-about technology currently and for obvious reasons. However, in the face of many facts about this technology, there have been several myths. For example, many associate it with Terminator-like scenes where machines take over the world, among other myths. In this article, we will be discussing and debunking some […].
As a leading business intelligence tool, Power BI offers business users power and flexibility in dealing with data. The Microsoft tool provides everything from Excel integration to enterprise reporting and an increasing number of AI features that simplify getting deeper insights. In fact, the latest Forrester Wave report on augmented BI goes as far as to say “it is hard not to consider Power BI as your top choice for an enterprise BI platform.
Rapidminer is a visual enterprise data science platform that includes data extraction, data mining, deep learning, artificial intelligence and machine learning (AI/ML) and predictive analytics. It can support AI/ML processes with data preparation, model validation, results visualization and model optimization. Rapidminer Studio is its visual workflow designer for the creation of predictive models.
Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage
When tasked with building a fundamentally new product line with deeper insights than previously achievable for a high-value client, Ben Epstein and his team faced a significant challenge: how to harness LLMs to produce consistent, high-accuracy outputs at scale. In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation m
During the beginning of the pandemic, many businesses went digital, and the retail industry is no exception. Technologies became a crucial part of achieving success in the increasingly competitive market, including big data and analytics. Big data in retail help companies understand their customers better and provide them with more personalized offers.
This article was published as a part of the Data Science Blogathon What is Artificial Intelligence We have come a long way in the field of Machine Learning / Deep learning that we are now very much interested in AI (Artificial Intelligence), in this article we are going to introduce you to AI. The short and […]. The post Introduction to Artificial Intelligence for Beginners appeared first on Analytics Vidhya.
With the popularity of our list of 20 Best Data Storytelling Examples , we thought it worth finding some more data stories for inspiration. The good examples in this list demonstrate how to combined data visualization, interactivity, and classic storytelling. They show the importance of a clear message, supporting data and analysis, and a narrative flow to engage the reader.
In this rapidly advancing AI world, human computer interactions (HCI) are of extreme importance. We live in a world where Siri and Alexa are physically closer to us than other humans. Soon the world will get more populated with physical and virtual service robots to accomplish tasks that range from caring for the elderly to assessing the effectiveness of your marketing campaign.
The DHS compliance audit clock is ticking on Zero Trust. Government agencies can no longer ignore or delay their Zero Trust initiatives. During this virtual panel discussion—featuring Kelly Fuller Gordon, Founder and CEO of RisX, Chris Wild, Zero Trust subject matter expert at Zermount, Inc., and Principal of Cybersecurity Practice at Eliassen Group, Trey Gannon—you’ll gain a detailed understanding of the Federal Zero Trust mandate, its requirements, milestones, and deadlines.
Sisu Data is an analytics platform for structured data that uses machine learning and statistical analysis to automatically monitor changes in data sets and surface explanations. It can prioritize facts based on their impact and provide a detailed, interpretable context to refine and support conclusions. The product features fact boards, annotations and the ability to share facts and analysis across teams.
Below is our final post (5 of 5) on combining data mesh with DataOps to foster innovation while addressing the challenges of a data mesh decentralized architecture. We see a DataOps process hub like the DataKitchen Platform playing a central supporting role in successfully implementing a data mesh. DataOps excels at the type of workflow automation that can coordinate interdependent domains, manage order-of-operations issues and handle inter-domain communication.
We have previously talked about some of the open source tools available to create big data projects. Kubernetes is one of the most important that all big data developers should be aware of. Kubernetes has become the leading container orchestration platform to manage containerized data-rich environments at any scale. It has vastly simplified container deployment and management yet with the added complexity of managing clusters.
This article was published as a part of the Data Science Blogathon Introduction The purpose of this guide is to explore the idea of Maximum Likelihood Estimation, which is perhaps the most important concept in Statistics. If you’re interested in familiarizing yourself with the mathematics behind Data Science, then maximum likelihood estimation is something you can’t […].
GAP's AI-Driven QA Accelerators revolutionize software testing by automating repetitive tasks and enhancing test coverage. From generating test cases and Cypress code to AI-powered code reviews and detailed defect reports, our platform streamlines QA processes, saving time and resources. Accelerate API testing with Pytest-based cases and boost accuracy while reducing human error.
Azure ML can become a part of the data ecosystem in an organization, but this requires a mindshift from working with Business Intelligence to more advanced analytics. How can we can adopt a mindshift from Business Intelligence to advanced analytics using Azure ML? Although CRISP-DM is not perfect , the CRISP-DM framework offers a pathway for machine learning using AzureML for Microsoft Data Platform professionals.
According to the O’Reilly book “Machine Learning Logistics” by Ted Dunning and Ellen Friedman, “90% of the effort in successful machine learning is not about the algorithm or the model or the learning. It’s about logistics.” Many of these logistics fall within the confines of machine learning model management which, without a crystal-clear process in place for, is bound to cause errors (or worse, failures) within a given project.
Confluent Platform is a streaming platform built by the original creators of Apache Kafka. It enables organizations to organize and manage streaming data from various sources. Confluent launched its IPO in June this year and raised $828 million to further expand its business. Confluent Platform was brought to several public cloud vendor marketplaces last year as Confluent Cloud.
Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.
Many organizations and enterprises are constantly under threat of a cyber attack. Although data may be lost in a hacking incident, it can also be due to other intentional or accidental reasons. For example, you cannot rule out physical data theft, human error, computer viruses, faulty hardware, power failure, and natural disasters. One way to mitigate the loss of vital information is to have a sound backup system, which will improve the chances of recovering the data.
This article was published as a part of the Data Science Blogathon Introduction Data is present everywhere. Any action we perform generates some or the other form of data. But this data might not be present in a structured form. A beginner starting with the data field is often trained for datasets in standard formats like […]. The post How to Extract Tabular Data from Doc files Using Python?
(This article is a continuation of my earlier article “ When the Voice of the Customer Actually Talks.”). I recently attended (virtually) CX Summit 2021 , presented by Five9 , which focused on “CX Reimagined.” At first this title for the event seemed a bit grandiose to me – Reimagined! After attending the event, I now think the title was perfect, and it could have gone even further.
A recent Ernst and Young report found that 81% of organizations embrace the notion that data should be at the heart of all decision making. Yet, in many organization the decision-making process is stalled because data is still kept in silos.
Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?
Sisu Data is an analytics platform for structured data that uses machine learning and statistical analysis to automatically monitor changes in data sets and surface explanations. It can prioritize facts based on their impact and provide a detailed, interpretable context to refine and support conclusions. The product features fact boards, annotations and the ability to share facts and analysis across teams.
You must pay attention the data points that matter! Long gone are the days when digital marketing was based on gut feel and what looked good. The industry knows data is critical to a successful strategy. The hard thing is knowing which data points to pay attention to – separating the signal from the noise. With so much of marketing being quantifiable nowadays, it can be easy to get lost analyzing the wrong data and wasting time which could be better spent elsewhere.
This article was published as a part of the Data Science Blogathon Introduction I have been using Pandas with Python and Plotly to create some of the most stunning dashboards for my projects. In recent times, I have switched to learning Excel as it was a prerequisite in every company I had to apply to. I […]. The post How to Create Stunning and Interactive Dashboards in Excel?
ZoomInfo customers aren’t just selling — they’re winning. Revenue teams using our Go-To-Market Intelligence platform grew pipeline by 32%, increased deal sizes by 40%, and booked 55% more meetings. Download this report to see what 11,000+ customers say about our Go-To-Market Intelligence platform and how it impacts their bottom line. The data speaks for itself!
We organize all of the trending information in your field so you don't have to. Join 42,000+ users and stay up to date on the latest articles your peers are reading.
You know about us, now we want to get to know you!
Let's personalize your content
Let's get even more personalized
We recognize your account from another site in our network, please click 'Send Email' below to continue with verifying your account and setting a password.
400 
Let's personalize your content