erwin

FEBRUARY 4, 2021

Better decision-making has now topped compliance as the primary driver of data governance. However, organizations still encounter a number of bottlenecks that may hold them back from fully realizing the value of their data in producing timely and relevant business insights. While acknowledging that data governance is about more than risk management and regulatory compliance may indicate that companies are more confident in their data, the data governance practice is nonetheless growing in comple

Data Governance 89

Data Governance Metadata Data Quality Risk Management 89

Analytics Vidhya

FEBRUARY 4, 2021

ArticleVideos Overview Decision Intelligence is still an emerging field though it has been in the market for some time Understand what is a decision. The post Brief Introduction to the Rising Field of Decision Intelligence! appeared first on Analytics Vidhya.

Marketing 390

Marketing Analytics IT Machine Learning 390

Smart Data Collective

FEBRUARY 4, 2021

Companies are discovering the countless benefits of using big data as they strive to keep their operations lean. Big data technology has made it a lot easier to maintain a decent profit margin as they try to keep their heads above water during a horrific economic downturn. One of the most important benefits of using big data is with expense tracking.

Data Analytics 141

Data Analytics Analytics Cost-Benefit Big Data 141

Analytics Vidhya

FEBRUARY 4, 2021

ArticleVideos This article was published as a part of the Data Science Blogathon. INTRODUCTION Stock prediction is the act of forecasting the future value. The post Modelling stock price using financial ratios and its applications to make buy/sell/hold decisions appeared first on Analytics Vidhya.

Modeling 336

Modeling Forecasting IT Data Science 336

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Domino Data Lab

FEBRUARY 4, 2021

Container technology has changed the way data science gets done. The original container use case for data science focused on what I call, “environment management”. Configuring software environments is a constant chore, especially in the open source software space, the space in which most data scientists work. It often requires trial and error. This tinkering may break dependencies such as those between software packages or between drivers and applications.

Modeling 130

Modeling Data Science Data Processing Software 130

Dataiku

FEBRUARY 4, 2021

In the prior posts in the How They Work (In Plain English!) series, we went through a high-level overview of machine learning and explored two key categories of supervised learning algorithms ( linear and tree-based models ), two key unsupervised learning techniques ( clustering and dimensionality reduction ), and recommendation engines which can use either supervised or unsupervised learning.

IT 121

IT Machine Learning Modeling 121

Cloudera

FEBRUARY 4, 2021

Financial services institutions need the ability to analyze and act on massive volumes of data from diverse sources in order to monitor, model, and manage risk across the enterprise. They need a comprehensive data and analytics platform to model risk exposures on-demand. Cloudera is that platform. I am pleased to announce that Cloudera was just named the Risk Data Repository and Data Management Product of the Year in the Risk Markets Technology Awards 2021. .

Risk 88

Risk Marketing Technology Management 88

Smart Data Collective

FEBRUARY 4, 2021

Big data is changing the future of video marketing forever. YouTube was launched in 2005, when big data was just a blip on the horizon. However, data analytics and AI have made video technology more versatile than ever. Clever video marketers know how to use AI and big data to their full advantage. However, they will need to be even more strategic about leveraging big data and AI technology for video marketing in the near future.

Data-driven 82

Data-driven Marketing Big Data Data mining 82

DataKitchen

FEBRUARY 4, 2021

This blog builds on earlier posts that defined Kitchens and showed how they map to technical environments. We’ve also discussed how toolchains are segmented to support multiple kitchens. DataOps automates the source code integration, release, and deployment workflows related to analytics development. To use software dev terminology, DataOps supports continuous integration, continuous delivery, and continuous deployment.

Testing 147

Testing Software Management Data Analytics 147

Smart Data Collective

FEBRUARY 4, 2021

Big data has been instrumental in keeping the pandemic in check. Organizations and governments around the world are using big data technology to track the spread of Covid-19 and find better solutions to keep it in check. However, big data will continue to affect our lives long after the pandemic has subsided. One of the most important changes big data has created is in the field of marketing.

Data-driven 67

Data-driven Marketing Strategy Big Data 67

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.

DataRobot Blog

FEBRUARY 4, 2021

“AI could contribute up to $15.7 trillion to the global economy by 2030, more than the current output of China and India combined,” according to PwC. The same report estimates that in 2018 alone, AI contributed $2 trillion to the global GDP. Despite the enormous rewards of implementing AI solutions, becoming an AI-driven organization is still a challenge.

ROI 52

ROI Data-driven Machine Learning Finance 52