Teradata

NOVEMBER 24, 2019

Every organization, in every industry, needs a Chief Data Officer. Use these guidelines to choose the one with the optimal skills and background for success.

Optimization 59

Optimization 59

KDnuggets

NOVEMBER 28, 2019

Sebastian Thrun, the founder of Udacity, ruined my machine learning project and wedding.

Machine Learning 160

Machine Learning 160

Bruno Aziza

NOVEMBER 28, 2019

Need a New Topic for Thanksgiving Dinner? How to Explain Artificial Intelligence (AI) to Anyone.and Make it Fun!

IT 85

IT 85

datapine

NOVEMBER 27, 2019

Over the past decade, business intelligence has been revolutionized. Data exploded and became big. We all gained access to the cloud. Spreadsheets finally took a backseat to actionable and insightful data visualizations and interactive business dashboards. The rise of self-service analytics democratized the data product chain. Suddenly advanced analytics wasn’t just for the analysts. 2019 was a particularly major year for the business intelligence industry.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

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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have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth.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.

Optimization

Corinium

NOVEMBER 27, 2019

Data ethics, data culture and the future of advanced analytics were the three themes that dominated CDAO Fall in Boston, MA last week. As Corinium’s flagship conference, the annual event showcases how the world’s top data and analytics leaders are driving change within their organizations and reveals the key talking points for the year ahead.

Analytics 221

Analytics Data Analytics 221

Data Science 101

NOVEMBER 26, 2019

It is no secret that data science is difficult. Companies struggle to succeed with data science projects. Even Gartner predicts that by 2022 only 20% of analytics projects will deliver business value. That means about 80% will fail to deliver value. Thus, companies need to be very careful about running data analytics projects. There are many reasons for the failure of data science projects.

Data Science 109

Data Science Data Strategy Strategy Software 109

Analytics Vidhya

NOVEMBER 26, 2019

Overview What is the chi-square test? How does it work? Learn about the different types of Chi-Square tests and where and when you should. The post What is the Chi-Square Test and How Does it Work? An Intuitive Explanation with R Code appeared first on Analytics Vidhya.

Testing 319

Testing IT Analytics Statistics 319

O'Reilly on Data

NOVEMBER 25, 2019

In this interview from O’Reilly Foo Camp 2019, Dean Wampler, head of evangelism at Anyscale.io, talks about moving AI and machine learning into real-time production environments. Highlights from the interview include: Facilitating the transition from research to production in a robust way introduces a number of complications, Wampler says, including governance, GDPR, and traceability rules.

Machine Learning 227

Machine Learning Modeling Technology IT 227

Corinium

NOVEMBER 25, 2019

The role of a CDAO will naturally evolve with their company’s data maturity, and our research shows that this evolution is well underway in organisations across the Middle East and Africa. To determine the current state of data analytics in the Middle East and Africa, we conducted a representative survey of 87 senior data analytics leaders from across the region to create our 2020 State of Data & Analytics MEA report.

Analytics 221

Analytics Data Strategy Reporting Strategy 221

KDnuggets

NOVEMBER 28, 2019

Open source is becoming the standard for sharing and improving technology. Some of the largest organizations in the world namely: Google, Facebook and Uber are open sourcing their own technologies that they use in their workflow to the public.

Data Science 160

Data Science Technology Deep Learning Visualization 160

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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

Analytics Vidhya

NOVEMBER 24, 2019

Overview Learn how to use Shapley values in game theory for machine learning interpretability It’s a unique and different perspective to interpret black-box machine. The post A Unique Method for Machine Learning Interpretability: Game Theory & Shapley Values! appeared first on Analytics Vidhya.

Machine Learning 282

Machine Learning Analytics IT 282

erwin

NOVEMBER 28, 2019

Enterprise architecture tools are becoming more important than ever. The International Enterprise Architecture Institute (IEAI) defines enterprise architecture (EA) as “the analysis and documentation of an enterprise in its current and future states from an integrated strategy, business and technology perspective.”. In the era of data-driven business, such perspective is critical.

Enterprise 145

Enterprise Data-driven Data Governance Metadata 145

Corinium

NOVEMBER 27, 2019

Time and time again, we hear from our contacts asking to hear about real use cases. We have partnered with Zendesk to share their customer stories. "The customer is always right" is a phrase that Zendesk takes very seriously. What a customer needs and wants? That's at the heart and soul of everything Zendesk does. Whether it’s small companies trying to rapidly grow and build their brand, or large companies trying to maintain customer loyalty, Zendesk aims to empower businesses to seamlessly serv

Interactive 195

Interactive Management Analytics 195

KDnuggets

NOVEMBER 28, 2019

This article will walk through an extractive text summarization process, using a simple word frequency approach, implemented in Python.

Analytics 160

Analytics 160

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📌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

Analytics Vidhya

NOVEMBER 27, 2019

“Every once in a while, a revolutionary product comes along that changes everything.” – Steve Jobs We are thrilled to announce the launch of. The post DSAT – First Ever Adaptive Learning Platform for Data Science Professionals appeared first on Analytics Vidhya.

Data Science 49

Data Science Analytics Testing 49

Data Science 101

NOVEMBER 29, 2019

Initiative for Analytics and Data Science Standards (IADSS) is an organization working to develop standards around the roles in data science. They did a large survey earlier this year and they are starting to role out some of their results. Below is a video with some early results. Great Stuff! Data Science 101 is proud to be an IADSS Digital Community Partner.

Data Science 120

Data Science Analytics 120

Corinium

NOVEMBER 26, 2019

In the next addition of our 'getting to know your speaker', we are proud to bring you Armel Lupapi.

39

39

KDnuggets

NOVEMBER 27, 2019

Also: Deep Learning for Image Classification with Less Data; How to Speed up Pandas by 4x with one line of code; 25 Useful #Python Snippets to Help in Your Day-to-Day Work; Automated Machine Learning Project Implementation Complexities.

Deep Learning 153

Deep Learning Machine Learning 153

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

Smart Data Collective

NOVEMBER 28, 2019

Businesses can use big data in many capacities, but those who use it for social media are at a huge advantage. It enables you as a social media marketer to get a closer look at your customer base, understand what drives purchasing decisions , and encourage consumers to pull the trigger. Using big data to augment your social media strategy provides a wealth of opportunities simply because social media is such an integral part of people’s lives.

Big Data 118

Big Data Advertising Recreation/Entertainment Data-driven 118

Data Science 101

NOVEMBER 29, 2019

In the United States, it is a holiday week, so the news is pretty limited from many of the big cloud providers. Luckily, Amazon has come through with a flurry of machine learning announcements. Amazon is holding their annual re:Invent Conference next week, so maybe these announcements are precursors to some bigger news next week. We will have to wait and see.

Data Science 115

Data Science Deep Learning Machine Learning Modeling 115

Corinium

NOVEMBER 24, 2019

Joining us at the Data and Analytics in Healthcare (4-5 March | Melbourne), we are pleased to welcome Day Manuet, Data Analyst – Analytics at Epworth HealthCare. She shares her thoughts on the use of data within Australia's healthcare system, and what steps need to be taken to improve patient outcomes through data analytics and much more.

Analytics 195

Analytics Data Analytics Data Strategy Data Governance 195

KDnuggets

NOVEMBER 29, 2019

Read this article on training Markov chains to generate George R. R. Martin style text.

Modeling 137

Modeling Analytics 137

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Cloud Development Environments (CDEs) are changing how software teams work by moving development to the cloud. Our Cloud Development Environment Adoption Report gathers insights from 223 developers and business leaders, uncovering key trends in CDE adoption. With 66% of large organizations already using CDEs, these platforms are quickly becoming essential to modern development practices.

Reporting

Smart Data Collective

NOVEMBER 25, 2019

More and more often, businesses are using data to drive their decisions — which makes cutting-edge analytics and business intelligence strategies one of the best advantages a company can have. New technologies, especially those driven by artificial intelligence (or AI), are changing how businesses collect and extract usable insights from data. Here are the six trends you should be aware of that will reshape business intelligence in 2020 and throughout the new decade. 1.

Business Intelligence 108

Business Intelligence Predictive Analytics Data Collection Internet of Things 108

Data Science 101

NOVEMBER 23, 2019

The National Institutes of Health (NIH) is creating a Data Management and Sharing Policy. They are currently looking for input on the policy. The NIH funds a lot of research, and this policy will affect the data and results researchers produce. NIH’s DRAFT Data Management and Sharing Policy: We Need to Hear From You! This is the time to share your thoughts.

Management 99

Management Data Science 99

FineReport

NOVEMBER 26, 2019

When it comes to data analytics tools, we always have questions. What is the difference between so many data analysis tools? Which is better? Which one should I study? Although this is a commonplace topic, it is really important, and I have been working hard to pursue the answer to this ultimate problem. If you go online to search for relevant information in this area, it is difficult to see a fair point of view.

Data Analytics 98

Data Analytics Analytics Statistics Visualization 98

KDnuggets

NOVEMBER 26, 2019

A guide to build a content-based movie recommender model based on NLP.

Modeling 128

Modeling 128

Speaker: Jay Allardyce, Deepak Vittal, Terrence Sheflin, and Mahyar Ghasemali

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

DataRobot

NOVEMBER 25, 2019

Is AI taking over our jobs? Will AI replace the need for humans? No. Think of the rise of AI as a way of enhancing us, not replacing us. Colin Priest, VP of AI Strategy at DataRobot, explains when to use AI to complete a task and when to turn to a human.

Strategy 19

Strategy 19

Sisense

NOVEMBER 26, 2019

Blog. With data growing at a staggering rate, managing and structuring it is vital to your survival. In our Event Spotlights series, we cover the biggest industry events helping builders learn about the latest tech, trends, and people innovating in the space. We live in a world of data. Think back to when your company first started storing data, years ago: do any of you remember those clunky tapes, floppy disks, burning CDs, and DVDs?

Digital Transformation 93

Digital Transformation Data-driven ROI Software 93

FineReport

NOVEMBER 28, 2019

1. What is automated reporting? Automated reporting is the process of regularly sending reports via a variety of ways according to set intervals or triggered tasks. In detail, with the automated reporting software , users can set up the time frame, frequency, or triggered events to send the reports at a specific time. For example, a scheduled report containing the weekly website traffic can be set to automatically send out every Sunday at 10 pm so that the marketing department can use this repor

Reporting 98

Reporting Software Sales Metrics 98

KDnuggets

NOVEMBER 29, 2019

Where does Java stand in the world of artificial intelligence, machine learning, and deep learning? Learn more about how to do these things in Java, and the libraries and frameworks to use.

Deep Learning 126

Deep Learning Machine Learning 126

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