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

Advertiser: ZoomInfo

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.

Sales

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 287

Machine Learning Modeling Technology IT 287

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

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

Testing

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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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.

Strategy

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

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 141

Big Data Advertising Recreation/Entertainment Data-driven 141

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 145

Deep Learning Machine Learning 145

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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.

Testing

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

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 132

Business Intelligence Predictive Analytics Data Collection Internet of Things 132

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 Governance Data Strategy 195

KDnuggets

NOVEMBER 29, 2019

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

Modeling 128

Modeling Analytics 128

Advertiser: ZoomInfo

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!

Reporting

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 Machine Learning Deep Learning Modeling 115

Smart Data Collective

NOVEMBER 24, 2019

Big data is becoming more essential in the arena of employee collaboration. A growing number of teams are finding that big data can be very beneficial when it comes to forging stronger relationships between their participants. Dr. Mark van Rijmenam, the founder of DataFlaq is one of the world’s leading experts on the intersection between big data and interpersonal communication.

Big Data 101

Big Data Modeling ROI Predictive Analytics 101

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 121

Modeling 121

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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

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

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

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 120

Deep Learning Machine Learning 120

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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