erwin

DECEMBER 6, 2019

In the data-driven era, CIO’s need a solid understanding of data governance 2.0 … Data governance (DG) is no longer about just compliance or relegated to the confines of IT. Today, data governance needs to be a ubiquitous part of your organization’s culture. As the CIO, your stakeholders include both IT and business users in collaborative relationships, which means data governance is not only your business, it’s everyone’s business.

Data Governance 145

Data Governance Metadata Enterprise Data-driven 145

TDAN

DECEMBER 3, 2019

Wherever we go, we are overwhelmed by MORE: more sales, more discounts, more fun, more excitement, more features – the list goes on and on! What humans seem to be far less attuned to is reducing what we don’t need. Drive around any suburban neighborhood and see the many cars parked outside their garages! Believe […].

Sales 78

Sales Data Architecture Data Governance Metadata 78

Analytics Vidhya

DECEMBER 1, 2019

Overview Here are 6 challenging open-source data science projects to level up your data scientist skillset There are some intriguing data science projects, including. The post 6 Challenging Open Source Data Science Projects to Make you a Better Data Scientist appeared first on Analytics Vidhya.

Data Science 357

Data Science Analytics Deep Learning Machine Learning 357

Corinium

DECEMBER 2, 2019

The proper powers and responsibilities for a CDAO to wield have been a topic of debate in the business world for some years now. However, it has become clear that having someone who is responsible for maximizing the value of a company’s data asset is essential for businesses operating in the digital age.

IT 195

IT 195

Speaker: Timothy Chan, PhD., Head of Data Science

Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? 🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.

Experimentation

KDnuggets

DECEMBER 6, 2019

Are you interested in studying machine learning over the holidays? This collection of 10 free top notch courses will allow you to do just that, with something for every approach to improving your machine learning skills.

Machine Learning 157

Machine Learning Deep Learning Analytics 157

FineReport

DECEMBER 5, 2019

The year is coming to an end, and if any of you work in the relevant departments of the company’s financial accounting, you must be busy preparing various annual financial statements. Especially for beginners who have just entered this field, how to design reports to clearly show the financial analysis and business operation status is a challenge. In the financial statements, compared to traditional dense tables, charts can visualize the data and display the data more intuitively, making the com

Dashboards 98

Dashboards Statistics Visualization Reporting 98

Jet Global

DECEMBER 3, 2019

Financial reporting requires a significant amount of time, attention, and input to prepare reports that offer valuable analysis and deep insight into enterprise performance. Therefore, it’s easy to assume that reporting is always going to be difficult, consuming more time than companies would like and creating copious data errors along the way.

Reporting 98

Reporting Uncertainty Metrics Cost-Benefit 98

KDnuggets

DECEMBER 3, 2019

What follows is a set of broad recommendations, and it will inevitably require a lot of adjustments in each implementation. Given that caveat, here are our curriculum recommendations.

Data Science 152

Data Science IT 152

FineReport

DECEMBER 3, 2019

Why we need reporting tools? You can’t deny the fact that almost every position in the company is inseparable from reports. If you are a report producer, your job is to extract appropriate data and make reports according to key indicators; If you are a business staff, the basic components of your work are model + indicator + report +data visualization ; If you are an operation and maintenance staff, your job is to ensure that the company’s core reports are released on time.

Reporting 98

Reporting Dashboards Visualization Business Analysis 98

Analytics Vidhya

DECEMBER 3, 2019

Overview Intrigued by Apple’s iOS apps? Learn how to build Natural Language Processing (NLP) iOS apps in this article We’ll be using Apple’s Core. The post Create Natural Language Processing-based Apps for iOS in Minutes! (using Apple’s Core ML 3) appeared first on Analytics Vidhya.

Analytics 136

Analytics Unstructured Data Deep Learning Data Science 136

Speaker: David Bard, Principal at VP Product Coaching

In the fast-paced world of digital innovation, success is often accompanied by a multitude of challenges - like the pitfalls lurking at every turn, threatening to derail the most promising projects. But fret not, this webinar is your key to effective product development! Join us for an enlightening session to empower you to lead your team to greater heights.

Management

Sisense

DECEMBER 4, 2019

Blog. Everyone wants to get more out of their data, but how exactly to do that can leave you scratching your head. Our BI Best Practices demystify the analytics world and empower you with actionable how-to guidance. In the right hands, data is the ultimate means to answer important business questions. The problem is that when data is used incorrectly, it still provides answers (just bad ones).

Dashboards 97

Dashboards Metrics Visualization IT 97

KDnuggets

DECEMBER 4, 2019

What is Explainability in AI and how can we leverage different techniques to open the black box of AI and peek inside? This practical guide offers a review and critique of the various techniques of interpretability.

139

139

MLWhiz

DECEMBER 6, 2019

A Machine Learning project is never really complete if we don’t have a good way to showcase it. While in the past, a well-made visualization or a small PPT used to be enough for showcasing a data science project, with the advent of dashboarding tools like RShiny and Dash, a good data scientist needs to have a fair bit of knowledge of web frameworks to get along.

Machine Learning 90

Machine Learning Dashboards Visualization Data Science 90

Analytics Vidhya

DECEMBER 2, 2019

“I have applied for various data science roles but I always get rejected because of a lack of experience.” This is easily the most. The post Data Science Immersive Bootcamp – Hands-on Internship with Job Guarantee! appeared first on Analytics Vidhya.

Data Science 136

Data Science Analytics Machine Learning 136

Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage

Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.

Testing

Data Science 101

DECEMBER 5, 2019

Data Analysis as a career. Do you know which the sexiest job of the 21st Century is? As per the Harvard Business Review , it is Data Scientist. Though, technically, Data Scientists are a few notches above Data Analysts, becoming a Data Analyst makes it easier for you to become a Data Scientist. Picking a career is one of the most critical decisions that we need to take.

Statistics 88

Statistics Sales Data-driven Data Science 88

KDnuggets

DECEMBER 5, 2019

Increase your confidence to perform data cleaning with a broader perspective of what datasets typically look like, and follow this toolbox of code snipets to make your data cleaning process faster and more efficient.

129

129

TDAN

DECEMBER 3, 2019

Recently, I was giving a presentation and someone asked me which segment of “the DAMA wheel” did I think semantics most affected. I said I thought it affected all of them pretty profoundly, but perhaps the Metadata wedge the most. I thought I’d spend a bit of time to reflect on the question and answer […].

Metadata 88

Metadata Data Architecture IT Data Strategy 88

Corinium

DECEMBER 3, 2019

Enterprise 150

Enterprise 150

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IT

MLWhiz

DECEMBER 4, 2019

I like deep learning a lot but Object Detection is something that doesn’t come easily to me. And Object detection is important and does have its uses. Most common of them being self-driving cars, medical imaging and face detection. It is definitely a hard problem to solve. And with so many moving parts and new concepts introduced over the long history of this problem, it becomes even harder to understand.

Deep Learning 84

Deep Learning IT 84

KDnuggets

DECEMBER 2, 2019

The world still cannot be reduced to numbers on a page because human beings are still the ones making all the decisions. So, the best data scientists understand the numbers and the people. Check out these great data science books that will make you a better data scientist without delving into the technical details.

Data Science 122

Data Science 122

Data Science 101

DECEMBER 3, 2019

Building a data strategy is a great idea. It helps to avoid many of the Challenges of a Data Science Projects. However, there are many questions to address before getting started. Below is a list of some of those questions. General Questions Before Starting a Data Strategy. Do you have a process for solving problems involving data? What are the biggest challenges in your business?

Data Strategy 84

Data Strategy Strategy Data Warehouse Dashboards 84

Smart Data Collective

DECEMBER 1, 2019

Artificial intelligence has had a profound impact on our lives. A study by Tractica found that the global AI market is projected to grow to $118.6 billion within the next six years. The market for artificial intelligence technology is growing largely due to the number of industries that depend on it. Almost every industry can use AI technology in some capacity.

Finance 79

Finance Marketing Predictive Analytics Technology 79

Speaker: Nicholas Zeisler, CX Strategist & Fractional CXO

The first step in a successful Customer Experience endeavor (or for that matter, any business proposition) is to find out what’s wrong. If you can’t identify it, you can’t fix it! 💡 That’s where the Voice of the Customer (VoC) comes in. Today, far too many brands do VoC simply because that’s what they think they’re supposed to do; that’s what all their competitors do.

Customer Analytics

Domino Data Lab

DECEMBER 1, 2019

This article covers how to detect data drift for models that ingest image data as their input in order to prevent their silent degradation in production. Run the example in a complementary Domino project. Introduction: preventing silent model degradation in production. In the real word, data is recorded by different systems and is constantly changing.

Modeling 77

Modeling Machine Learning Deep Learning Testing 77

KDnuggets

DECEMBER 5, 2019

While AI may be the new electricity significant challenges remain to realize AI potential. Here we examine why data scientists and teams can’t rely on software engineering tools and processes for machine learning.

Machine Learning 112

Machine Learning Software 112

Data Science 101

NOVEMBER 30, 2019

I have been recording these quick 60 second videos, so I thought I would share on the blog.

Data Science 119

Data Science 119

Smart Data Collective

DECEMBER 4, 2019

Artificial intelligence is playing a very important role in the future of video editing. Anybody that works in the profession should learn how to use AI technology to get the most value out of their videos. How can you use AI to benefit as a video editor ? Intelligent HQ founder Dinis Guarda has talked about some of the benefits of artificial intelligence for video editing in this article.

Interactive 77

Interactive Machine Learning Software Marketing 77

Speaker: Jon Harmer, Product Manager for Google Cloud

Move from feature factory to customer outcomes and drive impact in your business! This session will provide you with a comprehensive set of tools to help you develop impactful products by shifting from output-based thinking to outcome-based thinking. You will deepen your understanding of your customers and their needs as well as identifying and de-risking the different kinds of hypotheses built into your roadmap.

Risk

IBM Big Data Hub

DECEMBER 3, 2019

With its electro-light tulip garden, disco ball-adorned trees and no stone-left-unturned music lineup, "Denmark’s Most Beautiful Festival" aims to surpass guests’ expectations on safety, comfort and entertainment, from its uncannily clean bathrooms down to its whimsical camp-in-a-beer-can glamping options.

Recreation/Entertainment 76

Recreation/Entertainment IT 76

KDnuggets

DECEMBER 5, 2019

Deep learning models are revolutionizing the business and technology world with jaw-dropping performances in one application area after another. Read this post on some of the numerous composite technologies which allow deep learning its complex nonlinearity.

Deep Learning 113

Deep Learning Modeling Technology IT 113

TDAN

DECEMBER 3, 2019

Everyone’s talking about data. Data is the key to unlocking insight— the secret sauce that will help you get predictive, the fuel for business intelligence. The transformative potential in AI? It relies on data. The thing that powers your CRM, your monthly report, your Tableau dashboard. Data. The good news is that data has never […].

Business Intelligence 72

Business Intelligence Dashboards Reporting Data Architecture 72

DataCamp

DECEMBER 4, 2019

How a Nigerian social venture for women integrated world-class education into their curriculum.

92

92

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Strategy