Sat.Oct 23, 2021 - Fri.Oct 29, 2021

article thumbnail

7 Must-Have Data Management Capabilities

Data Virtualization

Agile processes and automation are on the rise, causing companies to increasingly seek data virtualization solutions, which offer several important benefits: First, maintenance is cheaper compared to traditional tools, and data virtualization, which does not rely on data replication, eliminates. The post 7 Must-Have Data Management Capabilities appeared first on Data Virtualization blog.

article thumbnail

A Comprehensive Guide on Feature Engineering

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Why should we use Feature Engineering? Feature Engineering is one of the beautiful arts which helps you to represent data in the most insightful possible way. It entails a skilled combination of subject knowledge, intuition, and fundamental mathematical skills. You are effectively transforming […].

Insiders

Sign Up for our Newsletter

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

article thumbnail

What Is ‘Equity As Code,’ And How Can It Eliminate AI Bias?

DataKitchen

This article was originally published in Forbes. Engineers unleashed artificial intelligence (AI) bias, and it will be engineers who design the solutions that eliminate it. Authors of an article published by McKinsey Global Institute assert that “more human vigilance is needed to critically analyze the unfair biases that can become baked in and scaled by AI systems.

Testing 130
article thumbnail

Databricks Lakehouse Platform Streamlines Big Data Processing

David Menninger's Analyst Perspectives

Databricks is a data engineering and analytics cloud platform built on top of Apache Spark that processes and transforms huge volumes of data and offers data exploration capabilities through machine learning models. It can enable data engineers, data scientists, analysts and other workers to process big data and unify analytics through a single interface.

Big Data 327
article thumbnail

15 Modern Use Cases for Enterprise Business Intelligence

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?

article thumbnail

Get Started With Interactive Weekly Reports For Performance Tracking

datapine

Table of Contents. 1) What Is A Weekly Report? 2) Why Are Weekly Progress Reports Important? 3) Weekly Report Templates & Examples. 4) Top Elements Of A Weekly Performance Report. Businesses have been analyzing their performance for decades through traditional written reports, but with the amount of data being produced every day, the need for more frequent reporting is growing.

article thumbnail

Complete Guide to build your AI Chatbot with NLP in Python

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Overview In this Comprehensive Guide, we are going to be covering the following topics and the end goal is to teach you how to make your own personal intelligent AI chatbot: NLP and its uses in speech interpretation. AI and its uses in […]. The post Complete Guide to build your AI Chatbot with NLP in Python appeared first on Analytics Vidhya.

More Trending

article thumbnail

Using Machine Learning to Improve Cryptocurrency Mining Profitability

Smart Data Collective

Satoshi Nakamoto introduced the world to bitcoin in 2008. Many people speculated that the virtual currency would never gain traction and become extinct. However, it has grown faster than even some of the staunchest supporters originally predicted. Advances in AI and machine learning technology have been important in setting the trend for bitcoin. It’s been over a decade since the cryptocurrencies were introduced to the world and since it has become increasingly popular.

article thumbnail

Dataiku’s Role in the Modern Data Stack

Dataiku

Any small or midsize business (SMB) that’s serious about making the use of data, analytics, and AI everyday behavior for everyone is using a version of the modern data stack architecture. It can even make sense in the enterprise context for teams just getting started on their AI journey.

article thumbnail

A Comprehensive Guide to Time Series Analysis

Analytics Vidhya

This article was published as a part of the Data Science Blogathon This article was published as a part of the Data Science Blogathon Synopsis of Time Series Analysis A Time-Series represents a series of time-based orders. It would be Years, Months, Weeks, Days, Horus, Minutes, and Seconds A time series is an observation […]. The post A Comprehensive Guide to Time Series Analysis appeared first on Analytics Vidhya.

article thumbnail

A Trick, a Tip and a Thing to Try in Your Next Presentation

Depict Data Studio

Depict Data Studio full courses always end with a graduation ceremony where participants share the progress they’ve made in the course. I’m always amazed by the transformations that take place and I can’t help but want to share their wonderful work! In this blog post, you’ll learn from Elizabeth Dove. Elizabeth is a professor at the University of Montana who teaches art and design.

article thumbnail

8 Steps to Transformation at Speed & Scale – Your Guide to Deploying StratOps

📌Is your Data & AI transformation struggling to really impact the business? Discover the game-changing StratOps approach that: Bridges the Gap : Connect your Data & AI strategy to your operating model, to ensure alignment at every level. Prioritizes Outcomes : Focuses on concrete business outcomes from day one, rather than capabilities in isolation.

article thumbnail

AI Advances Help Contextual Targeted Advertising Strengthen Branding

Smart Data Collective

Artificial intelligence has become essential to modern marketing. Companies are finding newer, more creatives ways to integrate AI into their marketing strategies. This goes for both brand and performance marketing. AI can be useful in both online and offline marketing, but it tends to have greater efficacy in regards to online marketing strategies.

article thumbnail

Maintaining and Improving Predictive Models With Dataiku

Dataiku

Managing one model at a time is pretty easy. But how do you go about managing tens of models, or even more? Vincent Gallmann, Senior Data Scientist at French bank FLOA , answered this question in a 2021 Product Days Session on managing data science projects with Dataiku.

article thumbnail

An introduction to Autoencoders for Beginners

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Introduction Autoencoders are unstructured learning models that utilize the power of neural networks to perform the task of representation learning. In the context of machine learning, representation learning means embedding the components and features of original data in some low-dimensional structure for better […].

article thumbnail

The Ultimate Map to finding Halloween candy surplus

Cloudera

As Halloween night quickly approaches, there is only one question on every kid’s mind: how can I maximize my candy haul this year with the best possible candy? This kind of question lends itself perfectly to data science approaches that enable quick and intuitive analysis of data across multiple sources. Using Cloudera Machine Learning, the world’s first hybrid data cloud machine learning tooling, let’s take a deep dive into the world of candy analytics to answer the tough question on everyone’s

article thumbnail

Marketing Operations in 2025: A New Framework for Success

Speaker: Mike Rizzo, Founder & CEO, MarketingOps.com and Darrell Alfonso, Director of Marketing Strategy and Operations, Indeed.com

Though rarely in the spotlight, marketing operations are the backbone of the efficiency, scalability, and alignment that define top-performing marketing teams. In this exclusive webinar led by industry visionaries Mike Rizzo and Darrell Alfonso, we’re giving marketing operations the recognition they deserve! We will dive into the 7 P Model —a powerful framework designed to assess and optimize your marketing operations function.

article thumbnail

How People from Outside of the Tech Industry are Breaking into Data Science

Smart Data Collective

Data science careers used to be extremely selective and only those with certain types of traditional credentials were ever considered. While some might suggest that this discouraged those with hands-on experience from ever breaking into the field, it did at least help some companies glean a bit of information about potential hires. Now, however, an increasingly large number of people breaking into the field of data sciences actually aren’t themselves scientists.

article thumbnail

Using Dataiku to Understand Weather Across Different Parts of Singapore

Dataiku

What? Yes, you read that right! Singapore is such a tiny island, you may wonder just how big the differences in weather can get. Join us to find out! Given the recent “prolonged heavy rain” in August, with multiple locations in Singapore encountering flash floods, we are also curious to find out how the weather has changed across time for different parts of the city.

111
111
article thumbnail

End to End Statistics for Data Science

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Introduction to Statistics Statistics is a type of mathematical analysis that employs quantified models and representations to analyse a set of experimental data or real-world studies. The main benefit of statistics is that information is presented in an easy-to-understand format. Data processing is […].

article thumbnail

How to set and manage sales goals

Jedox

From overarching sales targets to more specific sub-goals and milestones, how should they be defined? What do you need to consider? In this blog post, we look at sales targets and goal setting from different perspectives and discuss what to consider when defining them. Most everyone has goals of some type they aim to achieve. Some reach for the stars, others prefer a more modest approach.

Sales 105
article thumbnail

Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin

As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.

article thumbnail

Top 5 Tools for Building an Interactive Analytics App

Smart Data Collective

An interactive analytics application gives users the ability to run complex queries across complex data landscapes in real-time: thus, the basis of its appeal. The application presents a massive volume of unstructured data through a graphical or programming interface using the analytical abilities of business intelligence technology to provide instant insight.

article thumbnail

Setting Direction for AI Governance

Dataiku

We've recently published an ebook on AI Governance. Focused on AI regulations, it provides perspective on new rules that will be rolling out across the world that will impact AI developers, users, and the wider public.

article thumbnail

Face Mesh Application using OpenCV and dlib

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Overview In this article, we will be using OpenCV and dlib to extract faces from a given image and then we will try to mesh both the faces. In short, we will try to mesh the faces from two different images. We will […]. The post Face Mesh Application using OpenCV and dlib appeared first on Analytics Vidhya.

article thumbnail

Is Balancing Complex Retail and CPG Supply Chains a Total Fantasy?

Teradata

Recent events have illustrated the fragility of ultra-lean supply chains. Chief Supply Chain Officers must figure out how to navigate these crises to manage costs, speed & quality of service.

article thumbnail

The Ultimate Guide To Data-Driven Construction: Optimize Projects, Reduce Risks, & Boost Innovation

Speaker: Donna Laquidara-Carr, PhD, LEED AP, Industry Insights Research Director at Dodge Construction Network

In today’s construction market, owners, construction managers, and contractors must navigate increasing challenges, from cost management to project delays. Fortunately, digital tools now offer valuable insights to help mitigate these risks. However, the sheer volume of tools and the complexity of leveraging their data effectively can be daunting. That’s where data-driven construction comes in.

article thumbnail

What Are the Benefits of Cloud Computing?

Smart Data Collective

Cloud Computing is the next big thing that is becoming popular all over the world, especially for the bigger Enterprises. People are now open the cloud computing options because they want to save the data for a longer term to make sure that they don’t lose data in case of any emergency. Cloud computing has been in the industry for more than two decades now, and it has been continuously providing competitive benefits to everybody in the industry.

article thumbnail

Checklist of Data Dashboard for 2021? Definition, Examples & More

FineReport

Numerous data?Want to flee the great tidal wave of data display? No bombardment anymore? Now here comes data dashboard ?Similar to the instrument panel equipped in a car, it transforms obscure expertise into plain visualizations which are pleasing to both the eye and mind. 1.What is Data Dashboard?–Definition. A data dashboard is a useful tool that could display and analyze users’ complex data by means of data visualization so that the user gains a deep insight into the value of data.

article thumbnail

Introduction to Partitioned hive table and PySpark

Analytics Vidhya

This article was published as a part of the Data Science Blogathon What is the need for Hive? The official description of Hive is- ‘Apache Hive data warehouse software project built on top of Apache Hadoop for providing data query and analysis. Hive gives an SQL-like interface to query data stored in various databases and […]. The post Introduction to Partitioned hive table and PySpark appeared first on Analytics Vidhya.

article thumbnail

Reporting Analytics vs. Financial Reporting: Is There a Difference?

Jet Global

The terms “reporting” and “analytics” are often used interchangeably. In fact there are some very important differences between the two, and understanding those distinctions can go a long way toward helping your organization make best use of both financial reporting and analytics. Here’s an overview of the key differences between the two, as well as some tips on how the finance team at your company can use information to help your business achieve strategic and tactical advantage.

article thumbnail

Launching LLM-Based Products: From Concept to Cash in 90 Days

Speaker: Christophe Louvion, Chief Product & Technology Officer of NRC Health and Tony Karrer, CTO at Aggregage

Christophe Louvion, Chief Product & Technology Officer of NRC Health, is here to take us through how he guided his company's recent experience of getting from concept to launch and sales of products within 90 days. In this exclusive webinar, Christophe will cover key aspects of his journey, including: LLM Development & Quick Wins 🤖 Understand how LLMs differ from traditional software, identifying opportunities for rapid development and deployment.

article thumbnail

What You Should Adjust in Windows to Improve Data Security

Smart Data Collective

Data security has become a vital topic of concern for consumers all over the world. Countless people have had to contend with the consequences of having their personal data exposed. Data breaches are most widely publicized when they occur at major corporations, such as Target. Unfortunately, these high profile cases take attention away from the need to invest in data security solutions at home.

article thumbnail

Commercial Lines Insurance- the End of the Line for All Data

Cloudera

I’ve had the pleasure to participate in a few Commercial Lines insurance industry events recently and as a prior Commercial Lines insurer myself, I am thrilled with the progress the industry is making using data and analytics. However, I do not think Commercial Lines insurance gets the credit it deserves for the industry-leading role it has played in analytics.

article thumbnail

Introduction to File Operations in Python

Analytics Vidhya

This article was published as a part of the Data Science Blogathon A file is an essential data item stored in one’s computer. Each file can be characterized with its filename & file extension. Python programming language is capable of doing wonders and with time we see a lot of its applications in various domains. […]. The post Introduction to File Operations in Python appeared first on Analytics Vidhya.

article thumbnail

GraphDB Users Ask: Can GraphDB Infer Data Based on Values From a Virtualized Repository?

Ontotext

ONTOTEXT ANSWER: The answer to this question loops back to one of our previous posts – GraphDB is a forward chaining database. This means that inferred statements are changed – inserted or removed – during data updates. Virtualized repositories are, as the name suggests, virtual. No data is ingested for these repositories. You can think about them as you would think about a translator.

article thumbnail

Data Modeling for Direct Mail: Boosting Multi-Channel Reach and Response

Speaker: Jesse Simms, VP at Giant Partners

This new, thought-provoking webinar will explore how even incremental efforts and investments in your data can have a tremendous impact on your direct mail and multi-channel marketing campaign results! Industry expert Jesse Simms, VP at Giant Partners, will share real-life case studies and best practices from client direct mail and digital campaigns where data modeling strategies pinpointed audience members, increasing their propensity to respond – and buy.