Sat.Jun 19, 2021 - Fri.Jun 25, 2021

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Standing Up a DataOps Program for Practitioners

DataKitchen

In this five-module course, Mike Lampa & Chris Bergh teach data professionals to plan their organization's DataOps program for low errors & fast deployment. The post Standing Up a DataOps Program for Practitioners first appeared on DataKitchen.

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Building a Convolutional Neural Network Using TensorFlow – Keras

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction This article aims to explain Convolutional Neural Network and how. The post Building a Convolutional Neural Network Using TensorFlow – Keras appeared first on Analytics Vidhya.

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Teradata Expands Vantage Enterprise Data Platform

David Menninger's Analyst Perspectives

Teradata introduced some enhancements to its Vantage platform last year in which they expanded its analytics functions and language support, and strengthened tools to improve collaboration between data scientists, business analysts, data engineers and business personnel. Some of the key enhancements included expanding the native support for R and Python, extending the ability to execute a wide range of open-source analytics algorithms, and automatic generation of SQL from R and Python code.

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Zendesk The Digital Tipping Point

Corinium

In 2020, companies made seismic shifts in how they do business. Being digital-first and, in many cases, digital-only meant companies had to rapidly acquire new technologies to reach customers and connect remote teams. 98% of mid-to-large-sized companies implemented new tools or processes. Investing in your customers pays off, but what to prioritize can be a little tricky.

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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?

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The Role of DataOps in Data Modernization

DataKitchen

Cognizant's JP Thakur & DataKitchen's Chris Bergh discuss how DataOps sets the foundation for Data Modernization initiatives enabling continuous data & insight. The post The Role of DataOps in Data Modernization first appeared on DataKitchen.

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Exploring Mito: Automatic Python Code for SpreadSheet Operations

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Spreadsheets or Excel is the foremost and most adaptive way. The post Exploring Mito: Automatic Python Code for SpreadSheet Operations appeared first on Analytics Vidhya.

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Maintaining The Human Factor in Machine Learning

Dataiku

While some automation in machine learning (ML) models is productive and necessary, taking a human-centric approach to machine learning and AI is essential. Humans have to be part of the ML workflow, included in the feedback loop, and more. This blog post will outline the importance of the human element and walk you through some of the benefits of maintaining a healthy balance between human involvement, machine automation, and AI.

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How to Optimize Marketing and Sales Operations

Jedox

In the age of digitization, the value creation processes of companies are experiencing fundamental changes. This also affects the go-to-market processes in particular for the marketing and sales functions. In this blog, we discuss these changes and their implications for successful operations. For at least two decades now, the Internet has enabled customers to be increasingly better informed, and the next supplier somewhere in the world is just a click away.

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Running Pandas on GPU, Taking It To The Moon??

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Pandas library comes in handy while performing data-related operations. Everyone starting. The post Running Pandas on GPU, Taking It To The Moon?? appeared first on Analytics Vidhya.

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15 power tips for Microsoft Power BI

CIO Business Intelligence

Power BI is Microsoft’s interactive data visualization and analytics tool for business intelligence (BI). With Power BI, you can pull in data from a wide range of systems in the cloud and on premises and create dashboards that track the metrics you care about the most. You can even drill down into your data and (literally) ask questions about it. Power BI’s rich reports or dashboards can be embedded in reporting portals you already use.

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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.

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Tips for Using Photos in Data Storytelling

Juice Analytics

Data storytelling needs more than a collection of data visualizations. It is about weaving an engaging message that combines data exploration with narrative, descriptions, and graphics. Photographs, in particular, can play a vital role to help your data story grab attention and provide emotional engagement. Photos have always beene an important element that we integrate into our data storytelling designs.

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Financial Technology Frontiers

Jet Global

A software company is revolutionizing financial operations through solutions that mine ERP data to provide astounding efficiency. First, there was the general ledger book. Then came Microsoft Excel and enterprise resource planning (ERP) applications. Revolutionary as these tools have been in the world of finance, there’s room for improvement. Enter insightsoftware, a leading provider of financial reporting and enterprise performance management software.

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How to Load Kaggle Datasets Directly into Google Colab?

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Almost every data science aspirant uses Kaggle. It houses datasets. The post How to Load Kaggle Datasets Directly into Google Colab? appeared first on Analytics Vidhya.

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What Data Metrics Should Be Incorporated Into a Marketing Dashboard?

Smart Data Collective

Big data has been incredibly important in the marketing profession. Marketers need to rely heavily on big data technology to reach customers more effectively. Big data technology isn’t just important for making better insights. Those insights need to be presented in a format that is easy to conceptualize. Visual marketing dashboards are prime examples of using big data effectively in marketing.

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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.

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Business Intelligence Solutions: Every Thing You Need to Know

FineReport

Data is the key to gaining great insights for most businesses, but it is also one of the biggest obstacles. Originally, Excel has always been the “solution” for various reporting and data needs. However, along with the diffusion of digital technology, the amount of data is getting larger and larger, and data collection and cleaning work have become more and more time-consuming.

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Transforming the Future of Learning with Analytics

Sisense

Blog. The proliferation of information, data, technology, and digital platforms means that the ability to leverage learning and education solutions has evolved dramatically in recent years. Organizations are now turning to digital innovations such as AI-infused analytics platforms to enhance and grow the knowledge of their teams and talent. A recent study by Learning Pool revealed 76% of mature metrics practices are enabled by technology that integrates data from multiple sources.

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How to Build a Data Warehouse Using PostgreSQL in Python?

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Data warehouse generalizes and mingles data in multidimensional space. The. The post How to Build a Data Warehouse Using PostgreSQL in Python? appeared first on Analytics Vidhya.

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How to Protect Your Small Business from Cyberattacks with Data Analytics

Smart Data Collective

Data analytics has dramatically upended our lives. Most of the changes have been largely positive. One of the biggest implications of data analytics technology in the 21st Century is that it has led to a number of new cybersecurity solutions. There is actually an entire field known as cybersecurity analytics , which as its name implies, uses data analytics technology to create more robust cybersecurity solutions.

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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.

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Why Data Culture Matters

DataCamp

This blog post summarizes how and why data culture is a variable in any successful analytics endeavor, the meaning of data culture, and how it is an extension of organizational habits.

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Migrate Hive data from CDH to CDP public cloud

Cloudera

Introduction. Many Cloudera customers are making the transition from being completely on-prem to cloud by either backing up their data in the cloud, or running multi-functional analytics on CDP Public cloud in AWS or Azure. The Replication Manager service facilitates both disaster recovery and data migration across different environments. Using easy-to-define policies, Replication Manager solves one of the biggest barriers for the customers in their cloud adoption journey by allowing them to mov

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Plotly and cufflinks : Advanced Python Data Visualization Libraries

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Data Visualization helps to bridge the gap between numbers and. The post Plotly and cufflinks : Advanced Python Data Visualization Libraries appeared first on Analytics Vidhya.

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6 Ways Augmented Reality Is Changing These 6 Industries

Smart Data Collective

Technology is moving at such a fast rate that everyone—including the business sector—is trying to keep up. There’s no doubt in how technology has improved almost all business processes, and one development that’s taking off is augmented reality. Augmented reality (AR) uses real-time computer-generated images in the surroundings of the viewer. So as a user, you can perceive the augmented objects which are a part of the real world to give you an interactive and enhanced experience of the visible w

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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.

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The Second Pillar of Data Culture: Data Literacy

Alation

Of the three pillars of data culture, data literacy is the most challenging to achieve, since it requires broad up-skilling across the organization and, sometimes, fighting human nature itself. As decision science author and Cornell professor J. Edward Russo once said, “the first thing most people will do when given access to tools and data is selectively filter information to prove previously established conclusions.

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Look Out for Risks in Open Banking!

Teradata

Open Banking is re-shaping the landscape of financial services and introducing new types of risks extending beyond data security. Secure open banking is everyone’s responsibility.

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Traversing the Trinity of Statistical Inference Part 2: Confidence Intervals

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction This is the second article of the series on ‘Traversing. The post Traversing the Trinity of Statistical Inference Part 2: Confidence Intervals appeared first on Analytics Vidhya.

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Huge Benefits Data Scalability Can Create for Your Business

Smart Data Collective

We recently pointed out that effective data management is the key to running a successful organization. You should recognize that big data is an asset that shouldn’t be discounted. The Merits of Big Data in Organizational Management. While you will always need to rely on intuition to some extent when it comes to your business, having some numbers to back up your decisions can be beneficial in a number of different ways.

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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.

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Meet the Team: Talking PRIDE With Kyle, Katie and Cédric

Dataiku

Last week, in honor of Pride month, we held our first LGBTQ+ roundtable at Dataiku — organized by our Queer Employee Resource Group (ERG) — to not only celebrate Pride month as a company, but raise awareness among Dataikers on LGBTQ+ stakes within the workplace in order to, ultimately, eliminate discrimination against members of the LGBTQ+ community and share best practices for allies on how to support them.

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How Does A.I. Learn? No need to fear the Singularity. Yet.

Grooper

How does AI learn? It’s a question often asked but rarely is the truth revealed. AI is just not as smart as we’d like for it to be. But let’s not confuse smart with powerful. Or, power with compute. At the end of the day, all we really want is for technology to do difficult things quickly and with very little human effort. We also want these things done accurately.

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Polars: The fastest DataFrame library you’ve never heard of

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Pandas is the most popular library when it comes to. The post Polars: The fastest DataFrame library you’ve never heard of appeared first on Analytics Vidhya.

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Every Business Needs an Analytics-Driven Content Marketing Strategy

Smart Data Collective

Analytics plays an invaluable role in modern marketing. We have talked extensively about the value of using data for marketing strategies in all industries. Analytics can be particularly useful for content marketing. Many marketers are stuck in 2008, when data analytics didn’t have a place in digital marketing strategies. This has changed dramatically in recent years, as data analytics has become increasingly vital to the future of content marketing.

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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.