Analytics Vidhya

MARCH 30, 2020

Overview Learn how to build your own ball tracking system for cricket using computer vision and Python We will discuss different approaches for tracking. The post Howzatt! How to Build Your Own Ball Tracking System for Cricket appeared first on Analytics Vidhya.

Analytics 296

Analytics Unstructured Data 296

David Menninger's Analyst Perspectives

MARCH 30, 2020

I was recently asked to identify key modern data architecture trends. Data architectures have changed significantly to accommodate larger volumes of data as well as new types of data such as streaming and unstructured data. Here are some of the trends I see continuing to impact data architectures.

Data Architecture 244

Data Architecture Unstructured Data Data Lake Data Governance 244

erwin

MARCH 30, 2020

Data intelligence has a critical role to play in the supercomputing battle against Covid-19. Last week, The White House announced the launch of the COVID-19 High Performance Computing Consortium , a public-private partnership to provide COVID-19 researchers worldwide with access to the world’s most powerful high performance computing resources that can significantly advance the pace of scientific discovery in the fight to stop the virus.

Metadata 122

Metadata IT Data Governance Data Quality 122

IBM Big Data Hub

MARCH 30, 2020

As we learn to cope at a personal level with the dynamic development of the COVID-19 outbreak, we are seeing an increasing impact to businesses in every industry. Supply chains are broken, demands are shifting and resources are shrinking. How do you prepare your business for the economic and operational impact?

Data Science 94

Data Science 94

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Visualization

Data Science 101

MARCH 30, 2020

Daphne Koller is a former Stanford Professor, former co-founder of Coursera, and now a founder of insitro. She has a wealth of knowledge and always has something interesting to say. This talk was delivered at Women in Data Science 2020. The post Daphne Koller – A New Approach to Drug Discovery appeared first on Data Science 101.

Data Science 94

Data Science Machine Learning 94

Bruno Aziza

MARCH 30, 2020

How Big Data can help our understanding of Coronavirus (COVID-19)

Big Data 129

Big Data 129

Bruno Aziza

MARCH 30, 2020

Time is one of our most precious resources. It’s difficult to create. Impossible to buy. And it inevitably gets away from us. Which is why it’s important for you and your team to master the tools needed to control the use of their time, regardless of conditions.

IT 68

IT 68

Dataiku

MARCH 30, 2020

Have a question about AutoML and Dataiku? We have you covered. Thanks to our two-part webinar series about AutoML (including both a higher-level look at the value of AutoML and an in-depth, end-to-end demo of the AutoML features in Dataiku ), we have a list of questions — and answers! — to share.

58

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Data Science 101

MARCH 30, 2020

Daphne Koller is a former Stanford Professor, former co-founder of Coursera, and now a founder of insitro. She has a wealth of knowledge and always has something interesting to say. This talk was delivered at Women in Data Science 2020. The post Daphne Koller – A New Approach to Drug Discovery appeared first on Ryan Swanstrom.

Data Science 52

Data Science Machine Learning 52

Andrew White

MARCH 30, 2020

Click here for an interactive PDF to connect to the most read data and analytics research directly. This list excludes our branded research such as Magic Quadrants etc. Mike Rollings just published an update to a very popular note: Build a data-driven enterprise. I had blogged on this term, data-driven , previously. It just moved up the chart into top spot last week as our most-read D&A piece of research, ignoring our branded notes such as Magic Quadrants.

Analytics 52

Analytics Data-driven Interactive Optimization 52

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.

Management

Jet Global

MARCH 30, 2020

When Excel was first released in 1985, it changed the course of business forever. Spreadsheets were nothing new at that point, even in electronic format, but Excel made them intuitive and accessible in a way that had never been possible before. Not surprisingly, the finance and accounting department was the first to realize the potential of a digital ledger, and now Excel exists less as a common business tool than a kind of modus operandi: an approach to all things.

Finance 75

Finance Visualization Dashboards Metrics 75

Sisense

MARCH 30, 2020

Blog. Sisense News is your home for corporate announcements, new Sisense features, product innovation, and everything we roll out to empower our users to get the most out of their data. As consumers, we’ve become used to intuitive search engines like Google that learn about our consumption habits. The results we see online are incredibly personalized towards our own digital behavior.

Cost-Benefit 92

Cost-Benefit Unstructured Data Marketing Reporting 92

John Wheeler

MARCH 30, 2020

Integrated Risk Management (IRM) technology is uniquely suited to address the myriad of risks arising from the current crisis and future COVID-19 recovery. Gartner’s 2020 expanded coverage of IRM use cases (see figure below) coincides with rapidly evolving customer demands linked to crisis response and recovery efforts. These efforts demonstrate the rising need for an integrated approach to risk management and highlight the following four IRM market trends. 1.

Marketing 59

Marketing Risk Management Risk Digital Transformation 59

Smart Data Collective

MARCH 30, 2020

Online privacy is becoming more important to people than ever before. In part, this has to do with scandals involving large online companies like Amazon, Facebook, and Google. People are surprised to learn how much information these companies and others like them are gathering about them online. They are even more surprised when the personal information gathered is leaked or sold to others.

Advertising 83

Advertising Data Collection Measurement IT 83

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