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
Recently, we have seen the rise of new technologies like big data, the Internet of things (IoT), and data lakes. But we have not seen many developments in the way that data gets delivered. Modernizing the data infrastructure is the.
Pandas is one of the best data manipulation libraries in recent times. It lets you slice and dice, groupby, join and do any arbitrary data transformation. You can take a look at this post, which talks about handling most of the data manipulation cases using a straightforward, simple, and matter of fact way using Pandas. But even with how awesome pandas generally is, there sometimes are moments when you would like to have just a bit more.
Introduction Python has been around since the 1990s, and now it’s one of the most popular programming languages in the world. The reason why. The post What is Better for Data Science Learning and Work: Julia or Python? appeared first on Analytics Vidhya.
These days, getting customer support right is more important than ever. Companies must go above and beyond to meet the needs of their customers, even as budgets tighten and workloads rise. How can smaller teams punch above their weight to deliver exceptional customer service, even during times of rapid change? We looked at how more than 13,000 small and mid-sized businesses worldwide have been able to meet the challenges of 2020 and emerge with stronger, leaner support teams.
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.
The corporate world is fast-paced and ever-changing. Whatever your sector or niche, if you want to remain adaptable and get one step ahead of the competition, working with the right data-driven tools and utilizing a corporate dashboard is essential. By squeezing every last drop of value from your business’s most valuable data, you will increase your efficiency while boosting your bottom line.
Organizations with a solid understanding of data governance (DG) are better equipped to keep pace with the speed of modern business. In this post, the erwin Experts address: What Is Data Governance? Why Is Data Governance Important? What Is Good Data Governance? What Are the Key Benefits of Data Governance? What Is the Best Data Governance Solution?
Overview GANs are generative models, they create what you feed them. We have listed down 4 prominent GAN Libraries Introduction Currently, GAN is. The post 4 Impressive GAN Libraries Every Data Scientist Should Know! appeared first on Analytics Vidhya.
Overview GANs are generative models, they create what you feed them. We have listed down 4 prominent GAN Libraries Introduction Currently, GAN is. The post 4 Impressive GAN Libraries Every Data Scientist Should Know! appeared first on Analytics Vidhya.
The digital marketing field has become far more datacentric in recent years. Before the turn of the century, the reliance on data technology was little more than nonexistent. It was primarily limited to handling the backend computations needed to handle the bandwidth of large websites. Web developers utilized data to some capacity as well, but marketers rarely considered doing so.
Digital risk continues to grow in importance for corporate boards as they recognize the critical nature of digital business transformation today. In fact, in Gartner’s 2020 Board of Directors survey , 67% of respondents stated they view digital as the top business challenge for 2020 and 2021. Not only that, but 49% of directors cite the need to reduce legal, compliance and reputation risk related to digital investments.
This post presents a simulation framework that leverages several mathematical models to simulate the spread of diseases such as COVID-19 in urban environments.
Overview Analytics and Business Intelligence provide comprehensible view of the company and derive actionable insights. We’ll discuss 6 top business intelligence tools that you. The post 6 Top Tools for Analytics and Business Intelligence in 2020 appeared first on Analytics Vidhya.
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
Cloud technology is leading to a number of disruptive changes for many companies all over the world. One of the areas where cloud technology has had a large impact is with supply chain management. There is a great article on Medium about the importance of moving your supply chain to the cloud. There are many reasons that this is important if you want to minimize disruption to your supply chain in 2020.
In part 2 of the series focusing on the impact of evolving technology on the telecom industry, we sat down with Vijay Raja, Director of Industry & Solutions Marketing at Cloudera to get his views on how the sector is changing and where it goes next. Hi Vijay, thank you so much for joining us again. To continue where we left off, as industry players continue to shift toward a more 5G centric network, how is 5G impacting the industry from a data perspective?
Introduction We have had significant advances in distributed databases to handle the proliferation of data. This has allowed us to handle increased traffic with. The post A Beginner’s Guide to CAP theorem for Data Engineering appeared first on Analytics Vidhya.
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.
Big data has led to a number of changes in the digital marketing profession. The market for big data analytics in business services is expected to reach $274 billion by 2022. A large portion of this growth is attributed to the need for big data in the marketing field. It isn’t just large companies using big data and AI to get a competitive edge in marketing.
There’s no doubt that cloud has become ubiquitous, and thank goodness for that in 2020. We wouldn’t have survived the challenges of this year without cloud. It’s supported everything, from the sudden changes in the way we work to the way we access healthcare and even shop for vital goods. While cloud is the vehicle, it’s what sits on it that makes it so valuable — data.
Blog. We live in a world of data: There’s more of it than ever before, in a ceaselessly expanding array of forms and locations. Dealing with Data is your window into the ways data teams are tackling the challenges of this new world to help their companies and their customers thrive. Uncomfortable truth incoming: Most people in your organization don’t think about the quality of their data from intake to production of insights.
Introduction Object detection is one of the most widely studied topics in the computer vision community. It’s has been breaking into various industries with. The post A Beginner’s Guide to Focal Loss in Object Detection! appeared first on Analytics Vidhya.
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.
Data analytics technology plays an important role in the modern consumer decision-making process. Even consumers looking for an IT provider might turn to data analytics technology. We previously talked about how big data can be used to benefit IT. However, it can also be used to help customers make more informed decisions. Using Big Data to Find the Perfect IT Provider.
Today, August 26th, 2020 we will be observing Women’s Equality Day. In an effort to show off the talented and diverse women that we have working at Juice, we invited several of our employees to talk about equality and what it means to be a woman in tech. We asked for these women to answer the following questions: What does equality mean to you? What is your experience in being a woman in tech?
Consolidated financial statements are an increasingly important consideration for larger, global organizations. In general, consolidated financial statements should be prepared by a dedicated team or a point person who can take ownership and be held accountable for the consistency and accuracy of their output. Let’s take a closer look at how you can successfully manage your organization’s financial consolidation process.
Introduction Exploratory data analysis is one of the best practices used in data science today. While starting a career in Data Science, people generally. The post Exploratory Data Analysis(EDA) from scratch in Python! appeared first on Analytics Vidhya.
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!
Since its inception, Google Analytics has been one of the top choices for website and online marketing analytics on the web. It’s incredibly robust, offering insights into behavioral data, traffic flow, conversion rates, sales funnel development, and more. It grants access to highly customizable and automated reporting, as well as tight user controls so you can guard and selectively distribute your data.
No operator ever made, or ever will make, a single cent or penny from purely digitizing and then storing data – they need to do something with it! Find out how.
Case study: Route Optimization for a leading FMCG company. Business Context. The client is a leading FMCG company with a strong foothold in different market regions across India. Given the large demand for its products, they wanted to optimize the number of salesmen and their travel costs, given different constraints. How BRIDGEi2i Delivered Value? BRIDGEi2i’s solution helped the business in efficient beat planning for salesmen and the delivery of the products with the available resources.The Br
Introduction Object detection is a tremendously important field in computer vision needed for autonomous driving, video surveillance, medical applications, and many other fields. We. The post How to build a Face Mask Detector using RetinaNet Model! appeared first on Analytics Vidhya.
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.
It’s no secret we live in a digital world! We all live entirely electronically, whether it is with the Zoom meetings that are keeping us busy or the phones we’re glued to every second. What many people fail to recognize, though, is just what that means for individual safety. We now live in a world where a person has a unique digital footprint, for which they bear some responsibility.
There are a lot of choices and pressures that go into a company’s decision to migrate their workloads to the cloud, and the decision doesn’t end there. Since there is no one-size-fits-all approach when it comes to cloud migration, companies need a trusted advisor to help with planning, executing and managing the move. Sirius recently helped a client achieve their cloud adoption goals and reach a successful cloud migration.
When it comes to optimizing business performance, there’s quite a bit of jargon that gets thrown around. Corporate performance management (CPM) is one example, and it’s often used interchangeably with business performance management and enterprise performance management. However, these terms tend to encompass the same concept: the collection of methods and processes designed to maximize the performance of an organization.
Overview We will discuss aggregation pipelines in MongoDB. We will see how to use the operator like the match, group, bucket, and facet. The post How to Create Aggregation Pipelines in a MongoDB Database Using PyMongo appeared first on Analytics Vidhya.
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?
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.
Let's personalize your content