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 364

Data Science Analytics Deep Learning Machine Learning 364

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

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have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth.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

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 160

Data Science IT 160

Smart Data Collective

DECEMBER 2, 2019

Data science has shifted the existing ether bringing in new marvelous opportunities to many industries. In line with these immense possibilities, comes rapid changes and challenges. And in this case, the travel and tourism industry is no exception here. Travel industry may not be the first to inculcate emerging technology for its benefit, but it sure is benefiting from it now.

Big Data 137

Big Data Machine Learning Forecasting Data Science 137

Corinium

DECEMBER 3, 2019

Enterprise 150

Enterprise 150

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 159

Machine Learning Deep Learning Analytics 159

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

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 180

Analytics Unstructured Data Deep Learning Data Science 180

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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

The Unofficial Google Data Science Blog

DECEMBER 4, 2019

by THOMAS OLAVSON Thomas leads a team at Google called "Operations Data Science" that helps Google scale its infrastructure capacity optimally. ln this post he describes where and how having “humans in the loop” in forecasting makes sense, and reflects on past failures and successes that have led him to this perspective. Our team does a lot of forecasting.

Forecasting 113

Forecasting Data Science Statistics Uncertainty 113

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.

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Jet Global

DECEMBER 6, 2019

Businesses that rely on SAP reporting to track their key performance indicators also typically rely on their IT department to facilitate initial report creation. Creating reports inside the SAP ecosystem involves the careful collection and integration of data in ways that only IT knows how to connect. It may seem absolutely necessary that tech professionals be required for a complex, data-driven process like reporting.

Reporting 98

Reporting IT Key Performance Indicator Finance 98

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 180

Data Science Analytics Machine Learning 180

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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

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

KDnuggets

DECEMBER 6, 2019

In this article, I will present five techniques to prevent overfitting while training neural networks.

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Dataiku

DECEMBER 4, 2019

The year 2019 has been an inspiring one at Dataiku, from releasing our very own data science documentary to discussing human-centered AI with more than 3,000 attendees at five EGG conferences around the world, being named to the 2019 Forbes Cloud 100 list to opening new offices around the world. On top of all that, I’m excited to cap off the year with the news that CapitalG has joined Dataiku as an investor.

Data Science 19

Data Science 19

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

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

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

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.

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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

DataCamp

DECEMBER 4, 2019

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

92

92

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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

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 91

Interactive Machine Learning Software Marketing 91

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 146

Data Science 146

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

Sisense

DECEMBER 3, 2019

Blog. “Data is the New Oil” was coined by The Economist in May 2017 and became a mantra for organizations to drive new wealth from data. But in reality, data by itself has no value. Even though we create a tremendous amount of it (90% of the world’s data was created in the past year), research shows that we are only using 1% of this data. The rapid growth of data volumes has effectively outstripped our ability to process and analyze it.

Data Warehouse 90

Data Warehouse Analytics Digital Transformation Forecasting 90

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

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 88

Finance Predictive Analytics Marketing Technology 88

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 122

Deep Learning Modeling Technology IT 122

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

DataRobot

DECEMBER 4, 2019

As AI adoption increases among all business verticals, executives are seeking ways to mitigate risk and understand how AI bias diminishes AI effectiveness or, worse yet, increases company risk.

Reporting 17

Reporting Risk 17

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