Analytics Vidhya

MAY 11, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon. Introduction Working with date and time data is one of the. The post Making Programming with Date and Time, less painless appeared first on Analytics Vidhya.

Data Science 263

Data Science Publishing Analytics Structured Data 263

Smart Data Collective

MAY 11, 2021

Advertisers have been collecting data for a long time now. This is something most online users knew but didn’t pay much attention to, but that’s starting to change. More people are starting to feel uneasy about large tech companies having so much control over their data. This feeling is fueling the growing pushback against advertisers collecting personal data.

Advertising 101

Advertising Data Collection IT Marketing 101

Analytics Vidhya

MAY 11, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon. Humans should be worried about the threat posed by artificial intelligence. The post Is there any need of Deep Learning? appeared first on Analytics Vidhya.

Deep Learning 385

Deep Learning Data Science Publishing Analytics 385

DataRobot

MAY 11, 2021

At DataRobot, we believe in 10x-ing our efforts: returns for our customers, professional development of our team, and our platform. Today’s acquisition of Zepl does exactly that. It 10x’s our world-class AI platform by dramatically increasing the flexibility of DataRobot for data scientists who love to code and share their expertise across teams of all skill levels.

Data Science 98

Data Science Cost-Benefit Data Processing Modeling 98

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Analytics Vidhya

MAY 11, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon. Introduction “Knowledge is power in business, and data is the fuel. The post Data Science Use Cases in Retail Industry appeared first on Analytics Vidhya.

Data Science 306

Data Science Publishing Analytics 306

Jet Global

MAY 11, 2021

Less than half (46%) of financial executives say they are able to fully execute their responsibilities with “manual, time-consuming processes” listed by 49% of respondents as the primary obstacle. RALEIGH, N.C. – May 11, 2021 – In the early days of the pandemic, cash flow management took center stage for many businesses and risk management continues to be a priority this year as business leaders depend more than ever on finance teams for decision-making support.

Finance 98

Finance Technology Forecasting Uncertainty 98

Depict Data Studio

MAY 11, 2021

Ready for an advanced presentation technique? Want to make sure your audience is engaged? No, those 10-minute Q&As at the end of a presentation don’t count as adequate engagement. Let’s notch up our engagement! In this blog post, you’ll learn about the “Choose Your Own Adventure” method for engaging our audiences during presentations. In March 2021, I was speaking at the Nonprofit Technology Network ’s conference, 21NTC , and I used this technique.

Technology 85

Technology IT 85

Teradata

MAY 11, 2021

After the shock of COVID exposed the brittle nature of many global supply chains, focus has shifted to resilience, a necessary consideration but not the only one.

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Dataiku

MAY 11, 2021

Automated machine learning (AutoML) shows great promise in providing more efficient, explainable, and reproducible AI solutions. Organizations might wonder, however, are all AutoML tools created equal? In other words, are the AutoML capabilities offered in AI platforms and other technologies all doing the same thing? The short answer is: no, not all AutoML is created equal.

Machine Learning 59

Machine Learning Modeling Technology 59

Sisense

MAY 11, 2021

Blog. You can’t talk about data analytics without talking about data modeling. These two functions are nearly inseparable as we move further into a world of analytics that blends sources of varying volume, variety, veracity, and velocity. The reasons for this are simple: Before you can start analyzing data, huge datasets like data lakes must be modeled or transformed to be usable.

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Modeling Big Data IoT Data Warehouse 84

Speaker: Scott Sehlhorst

We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.