datapine

OCTOBER 14, 2020

Soon businesses of all sizes will have so much amount of information that dashboard software will be the most invaluable resource a company can have. Visualizing the data and interacting on a single screen is no longer a luxury but a business necessity. That’s why we welcome you to the world of interactive dashboards. Take a comfortable seat, enjoy the power of interactive business dashboards , leave your spreadsheets behind, and utilize the advantages of interactive dashboard design and i

Dashboards 235

Dashboards Interactive Reporting KPI 235

Analytics Vidhya

OCTOBER 14, 2020

Introduction In the recent years, face recognition applications have been developed on a much larger scale. Image classification and recognition has evolved and is. The post Building an end to end image classification/recognition application appeared first on Analytics Vidhya.

Analytics 400

Analytics Unstructured Data Deep Learning 400

O'Reilly on Data

OCTOBER 13, 2020

The field of AI product management continues to gain momentum. As the AI product management role advances in maturity, more and more information and advice has become available. Our previous articles in this series introduce our own take on AI product management , discuss the skills that AI product managers need , and detail how to bring an AI product to market.

Management 251

Management Metrics Machine Learning Modeling 251

Rocket-Powered Data Science

OCTOBER 16, 2020

Artificial intelligence (AI) has become one of the most significant emerging technologies of the past few years. Some market estimates anticipate that AI will contribute 16 trillion dollars to the global GDP (gross domestic product) by 2030. While there has been accelerating interest in implementing AI as a technology, there has been concurrent growth in interest in implementing successful AI strategies.

Strategy 198

Strategy Insurance Snapshot Digital Transformation 198

Advertisement

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?

Business Intelligence

Paul Turley

OCTOBER 10, 2020

Moving important business data into a data model for analytic reporting can often be a two-edge sword. Data retrieval is fast and can support all kinds of analytic trending and comparisons. But, data in the model may be one or two layers away from the original source data, making it more challenging to compare with familiar user reports. Often the first validation effort after transforming and loading data into the model and then visualizing the initial results is having a business user say " ye

Modeling 145

Modeling Dashboards Visualization Testing 145

Analytics Vidhya

OCTOBER 12, 2020

This article was published as a part of the Data Science Blogathon. Introduction I have always been in love with Data Visualization since the. The post Create a Word Cloud or Tag Cloud in Python appeared first on Analytics Vidhya.

Visualization 400

Visualization Data Science Publishing Analytics 400

Rocket-Powered Data Science

OCTOBER 16, 2020

I recently enjoyed recording a podcast with Joe DosSantos (Chief Data Officer at Qlik ). This was one in a series of #DataBrilliant podcasts by Qlik , which you can also access here and here. I summarize below some of the topics that Joe and I discussed in the podcast. Be sure to listen to the full recording of our lively conversation, which covered Data Literacy, Data Strategy, Data Leadership, and more.

Digital Transformation 142

Digital Transformation Experimentation Data Science Data Strategy 142

Smart Data Collective

OCTOBER 11, 2020

Cloud design tools are creating a new future for the design profession. One study found that 47% of companies that use CAD software are implementing or strongly considering implementing a cloud-based CAD solution in the future. The number of professionals using other cloud-based design applications is even higher. We talked about the use of machine learning and big data in web development.

Machine Learning 141

Machine Learning Big Data Software Data Processing 141

Analytics Vidhya

OCTOBER 10, 2020

Introduction When building a machine learning model in real-life, it’s almost rare that all the variables in the dataset are useful to build a. The post Feature Selection Techniques in Machine Learning appeared first on Analytics Vidhya.

Machine Learning 397

Machine Learning Modeling Analytics Structured Data 397

Occam's Razor

OCTOBER 14, 2020

The gap between a bad and good data visualization is small. The gap between a good and great data visualization is a vast chasm! The challenge is that we, and our HiPPOs, bring opinions and feelings and our perceptions of what will go viral to the conversation. This is entirely counter productive to distinguishing between bad, good, and great. What we need instead is a rock solid understanding of the updraft we face in our quest for greatness, and a standard framework that can help us dispassion

Visualization 109

Visualization Risk Optimization IT 109

Advertisement

📌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.

Data-driven

Cloudera

OCTOBER 14, 2020

Background. Why choose K8s for Apache Spark. Apache Spark unifies batch processing, real-time processing, stream analytics, machine learning, and interactive query in one-platform. While Apache Spark provides a lot of capabilities to support diversified use cases, it comes with additional complexity and high maintenance costs for cluster administrators.

Machine Learning 118

Machine Learning Management Big Data Optimization 118

Smart Data Collective

OCTOBER 13, 2020

Deloitte Analytics author Ashwin Patil recently talked about the incredible benefits of big data in the automotive sector. His article focused primarily on the applications of big data in auto manufacturing. “At the same time, big data and analytics today offer previously unthinkable possibilities for tackling these and many other challenges automakers face.

Data-driven 135

Data-driven Big Data Manufacturing Insurance 135

Analytics Vidhya

OCTOBER 16, 2020

Introduction Have you ever stumbled upon a dataset or an image and wondered if you could create a system capable of differentiating or identifying. The post Create your Own Image Classification Model using Python and Keras appeared first on Analytics Vidhya.

Modeling 386

Modeling Analytics Unstructured Data Deep Learning 386

Dataiku

OCTOBER 12, 2020

AI is certainly a hot topic that everyone claims to be doing (or working on doing). But how many businesses are actually executing? One of the reasons it’s a difficult question to answer is that everyone seems to have a different definition of what exactly AI is.

IT 110

IT 110

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.

Marketing

Cloudera

OCTOBER 15, 2020

About this Blog. Data Discovery and Exploration (DDE) was recently released in tech preview in Cloudera Data Platform in public cloud. In this blog we will go through the process of indexing data from S3 into Solr in DDE with the help of NiFi in Data Flow. The scenario is the same as it was in the previous blog but the ingest pipeline differs. Spark as the ingest pipeline tool for Search (i.e.

Management 117

Management Dashboards IT 117

Smart Data Collective

OCTOBER 15, 2020

Enterprises now acknowledge the value of having a highly capable workforce. The ever-changing business landscape demands workers to continually upskill and reskill, giving rise to employee training utilization. Most organizations are now reinforcing their human resources and training and development departments to help them address the need. Large US companies on the average spent $17.7 million on such efforts in 2019.

Enterprise 117

Enterprise Testing Interactive Management 117

Analytics Vidhya

OCTOBER 11, 2020

This article was published as a part of the Data Science Blogathon. Introduction As famous author Wayne W.Dyer puts it, Change the way you. The post Python 3.9 is out! Explore 7 Exciting Python 3.9 Features That You Should Know appeared first on Analytics Vidhya.

Data Science 370

Data Science Publishing Analytics IT 370

Teradata

OCTOBER 13, 2020

The most frequently asked question of Finance departments today is, ‘whose data do we trust’? Here’s how to ensure Finance always has the correct answer.

Finance 117

Finance 117

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.

Business Intelligence

Cloudera

OCTOBER 13, 2020

Recently, my colleague published a blog build on your investment by Migrating or Upgrading to CDP Data Center , which articulates great CDP Private Cloud Base features. Existing CDH and HDP customers can immediately benefit from this new functionality. This blog focuses on the process to accelerate your CDP journey to CDP Private Cloud Base for both professional services engagements and self-service upgrades.

Risk 113

Risk Software Management Publishing 113

Dataiku

OCTOBER 16, 2020

For designing machine learning (ML) models as well as for monitoring them in production, uncertainty estimation on predictions is a critical asset. It helps identify suspicious samples during model training in addition to detecting out-of-distribution samples at inference time.

Uncertainty 107

Uncertainty Measurement Modeling Machine Learning 107

Analytics Vidhya

OCTOBER 11, 2020

This article was published as a part of the Data Science Blogathon. Introduction to Tableau Tips! Creating a chart or visual in Tableau is. The post 5 Tableau Tips for Designing a Tidy and Impactful Visualization appeared first on Analytics Vidhya.

Visualization 364

Visualization Data Science Publishing Analytics 364

Depict Data Studio

OCTOBER 13, 2020

When should we follow APA format? When should we not? Earlier this year I sat down with my good friend Deven Wisner about customizing reports for the audience. Watch Our Conversation. During this six-minute conversation, we talked about Deven’s current work (he’s a managing partner, professor and student himself!) as well as the advice he gives to his own students. .

Reporting 105

Reporting Management IT 105

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.

Data-driven

Teradata

OCTOBER 15, 2020

The old paradigm of the data warehouse serving as the single source of truth in today's ever evolving data landscape can no longer be sustained. Find out why.

Data Warehouse 110

Data Warehouse 110

Smart Data Collective

OCTOBER 13, 2020

Data analytics has been the basis for the cryptocurrency market for years. In 2018, a study from the University of Bremen in Germany discussed some of the implications of big data for the altcoin industry. They found that predictive analytics algorithms were using social media data to forecast asset prices. Predictive analytics have become even more influential in the future of altcoins in 2020.

Predictive Analytics 100

Predictive Analytics Analytics Forecasting Marketing 100

Analytics Vidhya

OCTOBER 15, 2020

Overview Data science hackathons can be a tough nut to crack, especially for beginners Here are 12 powerful tips to crack your next data. The post 12 Powerful Tips to Ace Data Science and Machine Learning Hackathons appeared first on Analytics Vidhya.

Machine Learning 364

Machine Learning Data Science Analytics 364

Jet Global

OCTOBER 16, 2020

If you’re like many CFOs or financial professionals, you’re probably turning to SAP and its Finance and Controlling module (or “FICO”) in either S/4HANA or ECC to manage your organization’s reporting. On the surface, this seems logical given the extensive collection of pre-built reports that are available and created in accordance with accounting standards.

Reporting 98

Reporting Finance Cost-Benefit Marketing 98

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.

Sales

Sisense

OCTOBER 14, 2020

Blog. Implementing analytics at your company is a multi-team job. Here, we focus on the role of the data team in successfully applying advanced analytics and ensuring that you get the most from your data to make your organization truly data-driven. Smart organizations already appreciate the power of data and its influence on building successful strategies.

Data-driven 98

Data-driven Machine Learning Dashboards Sales 98

Smart Data Collective

OCTOBER 13, 2020

Analytics is at the forefront of social media marketing. The market for social media analytics was worth $3.58 billion this year. At the point when the idea of Social Media Platforms previously came into light in the last part of the 2000s, everyone hoped to experience their new hobby and they have remained there from that point onward. Analytics wasn’t a big deal in the early days of social media marketing, but has become more important since.

Marketing 101

Marketing Analytics Publishing Big Data 101

Analytics Vidhya

OCTOBER 12, 2020

This article was published as a part of the Data Science Blogathon. Introduction There is no mathematical equation for model interpretability. ‘Interpretability is the. The post Global Model Interpretability Techniques for Black Box Models appeared first on Analytics Vidhya.

Modeling 349

Modeling Data Science Publishing Analytics 349

CIO Business Intelligence

OCTOBER 15, 2020

This article was co-written with Leila Dige. As the amount of knowledge generated within organizations continues to rise, firms must implement systems that make it easy for employees to find the information they need when they need it. Doing so not only stands to improve employee experience and boost productivity, but also can enable a level of agility and innovation that can become a competitive differentiator.

Enterprise 98

Enterprise Management IT 98

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.

Modeling