datapine

OCTOBER 14, 2020

This example shows additional information for the net profit: the top 5 product categories by using a drill-through. Sometimes referred to as nested charts, they are especially useful in tables, where you can access additional drilldown options such as aggregated data for categories/breakdowns (e.g. 8) Advanced Data Options.

Dashboards 235

Dashboards Interactive Reporting KPI 235

O'Reilly on Data

SEPTEMBER 15, 2021

64% of the respondents took part in training or obtained certifications in the past year, and 31% reported spending over 100 hours in training programs, ranging from formal graduate degrees to reading blog posts. To nobody’s surprise, our survey showed that data science and AI professionals are mostly male. Salaries by Gender.

Machine Learning 363

Machine Learning Statistics Reporting Consulting 363

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. It also owns Google’s internal time series forecasting platform described in an earlier blog post. Our team does a lot of forecasting. Our team does a lot of forecasting.

Forecasting 115

Forecasting Data Science Statistics Uncertainty 115

Domino Data Lab

AUGUST 6, 2021

Data science is an incredibly complex field. Framing data science projects within the four steps of the data science lifecycle (DSLC) makes it much easier to manage limited resources and control timelines, while ensuring projects meet or exceed the business requirements they were designed for.

Data Science 75

Data Science Testing Modeling Publishing 75

The Data Visualisation Catalogue

MAY 13, 2024

A Bump Chart is a visualisation that shows how the rankings of different categories or entities change over time or between groupings. Each category or entity is represented by a connected line that “bump” up or down as their rankings change over time. Colour is often used to distinguish each category.

Snapshot 98

Snapshot Visualization Interactive Data Science 98

Alation

FEBRUARY 20, 2020

Analyst Michelle Goetz, a well known advisor to enterprise architects, chief data officers, and business analysts, has been tracking this market for some time. She’s seen the evolution of the self-service analytics market from decision systems to business intelligence to data visualization to data science and automated intelligence.

Machine Learning 52

Machine Learning Marketing Reporting Data-driven 52

Rocket-Powered Data Science

JULY 6, 2021

In this post, we will examine ways that your organization can separate useful content into separate categories that amplify your own staff’s performance. If you include the title of this blog, you were just presented with 13 examples of heteronyms in the preceding paragraphs. Before we start, I have a few questions for you.

Strategy 267

Strategy Machine Learning Metadata Knowledge Discovery 267

The Unofficial Google Data Science Blog

AUGUST 31, 2016

By DAVID ADAMS Since inception, this blog has defined “data science” as inference derived from data too big to fit on a single computer. Thus the ability to manipulate big data is essential to our notion of data science. map and filter), and actions that cause the data to be reorganized (e.g.,

Data Science 68

Data Science Sales Optimization Cost-Benefit 68

Cloudera

AUGUST 20, 2020

The imperative to deliver meaningful change and value through innovation is why the Data for Enterprise AI category at the Data Impact Awards has never been more of the moment than it is today. The post Data for Enterprise AI: at the very forefront of innovation appeared first on Cloudera Blog.

Enterprise 121

Enterprise Experimentation Uncertainty Deep Learning 121

AWS Big Data

OCTOBER 14, 2024

Enterprise data is brought into data lakes and data warehouses to carry out analytical, reporting, and data science use cases using AWS analytical services like Amazon Athena , Amazon Redshift , Amazon EMR , and so on. Run the following Shell script commands in the console to copy the Jupyter Notebooks.

Metadata 104

Metadata Data Lake Modeling Data Warehouse 104

Timo Elliott

JANUARY 6, 2022

Like the proverbial man looking for his keys under the streetlight , when it comes to enterprise data, if you only look at where the light is already shining, you can end up missing a lot. Build a data catalog that systematizes data exploration and makes dark data stand out. Aggregate and pool. Use people.

IT 135

IT Metadata Data-driven Data Governance 135

The Unofficial Google Data Science Blog

JULY 17, 2018

In this blog post we describe one of these instances — Google search deciding when to check if web pages have changed. Through this example, we discuss some of the special considerations impacting a data scientist when designing solutions to improve decision-making deep within software infrastructure.

Data Science 87

Data Science Snapshot Data Processing Optimization 87

Domino Data Lab

AUGUST 12, 2021

For data, this refinement includes doing some cleaning and manipulations that provide a better understanding of the information that we are dealing with. In a previous blog , we have covered how Pandas Profiling can supercharge the data exploration required to bring our data into a predictive modelling phase.

Machine Learning 126

Machine Learning Reporting Statistics Visualization 126

DataRobot Blog

JULY 13, 2022

This marks a full decade since some of the brightest minds in data science formed DataRobot with a singular vision: to unlock the potential of AI and machine learning for all—for every business, every organization, every industry—everywhere in the world. Watch the keynote and technical sessions on demand.

Machine Learning 105

Machine Learning Data Science Marketing Reporting 105

DataRobot

APRIL 6, 2020

If you’re a regular reader of the DataRobot blog, you likely fall into one of two categories. Our blogs target these two groups because they are the primary people who interact with our software. Until now.

Deep Learning 69

Deep Learning Forecasting Data Science Interactive 69

Cloudera

DECEMBER 21, 2020

Our annual Data Impact Awards are all about celebrating organizations that are unlocking the maximum value from their data in order to drive the business forward. One category that highlighted some fantastic examples of customers doing just that, was The Enterprise Data Cloud award.

Enterprise 96

Enterprise Data-driven Data Architecture Machine Learning 96

Cloudera

JULY 12, 2021

Reflecting on the DIA projects that have stood out in the past, she points to the ones that: “leverage data for business innovation, while architecting meaningful safeguards against potential risks and societal dangers.”. Using data as a force for good. The post DIA Entries 2021: Judges’ Insight appeared first on Cloudera Blog.

Data-driven 111

Data-driven Consulting Big Data Data Science 111

Cloudera

JANUARY 18, 2022

Each year, the Cloudera Data Impact Awards recognize organizations that have accomplished amazing things with innovative data solutions. . For 2021, the awards will include a new category: People First. You can become a data hero too. Quarantines. Remote work. Increase online shopping.

Data Lake 96

Data Lake Digital Transformation Data-driven Dashboards 96

Cloudera

NOVEMBER 26, 2020

While all our winners are doing phenomenal work, one of the most exciting awards of the night was The Data for Enterprise AI category. To solve this problem once and for all, and provide its customers with a rapid and seamless service, the Data Enrichment team turned to big data.

B2B 105

B2B Machine Learning Big Data Data-driven 105

Cloudera

SEPTEMBER 17, 2020

This year we are also excited to announce a new award category — the Data Impact Achievement Award. This new award will recognize one customer who has consistently achieved transformation across their business, pursuing a diverse set of use cases and creating a culture of data-driven innovation. the Data Lifecycle.

B2B 98

B2B Enterprise Data-driven Data Science 98

Cloudera

OCTOBER 25, 2023

Participants can choose from the following categories for their prototype: Climate Smart Agriculture: With the world’s population expected to hit nearly 10 billion by 2050, finding sustainable ways to feed all of these people is critical for addressing global hunger as well as mitigating the climate crisis.

Machine Learning 102

Machine Learning Forecasting Data-driven Data Science 102

Cloudera

JULY 11, 2022

The need for data fabric. As Cloudera CMO David Moxey outlined in his blog , we live in a hybrid data world. Data is growing and continues to accelerate its growth. We are proud to be included as one of the top six scoring vendors in the current offering category. As a result, it’s getting ??progressively

Data Architecture 107

Data Architecture Data-driven Data Warehouse Cost-Benefit 107

Smart Data Collective

SEPTEMBER 23, 2020

However, a data lake functions for one specific company, the data warehouse, on the other hand, is fitted for another. This blog will reveal or show the difference between the data warehouse and the data lake. Data warehouse needs a lower level of knowledge or skill in data science and programming to use.

Data Lake 135

Data Lake Data Warehouse Unstructured Data Big Data 135

Smart Data Collective

OCTOBER 14, 2019

Regardless of if you’re a data science professional or an IT department who wants to help your company have more successful data science projects, it’s essential to have some data science tools under your belt to avail of when needed. The website breaks down the types of charts into categories.

Data Science 93

Data Science Machine Learning Big Data Interactive 93

datapine

MAY 16, 2019

Data can serve as a way to “check yourself” and get to the bottom of what truly makes your business tick. As data science guru Peter Chen wrote in an article, “analytics can’t come up with ideas, but it can help you improve on good ones, avoid trying bad ones, and uncover flaws that can be fixed”.

Analytics 163

Analytics Predictive Analytics Advertising Dashboards 163

Cloudera

DECEMBER 14, 2022

The company recently migrated to Cloudera Data Platform (CDP ) and CDP Machine Learning to power a number of solutions that have increased operational efficiency, enabled new revenue streams and improved risk management. OCBC also won a Cloudera Data Impact Award 2022 in the Transformation category for the project.

Data Strategy 81

Data Strategy Strategy IT Contextual Data 81

Cloudera

MAY 12, 2021

And it is with this in mind, that we’re delighted to announce that the 2021 Cloudera Data Impact Awards is now open for entries. The 2021 Cloudera Data Impact Award categories aim to recognize organizations that are using Cloudera’s platform and services to unlock the power of data, with massive business and social impact.

Digital Transformation 70

Digital Transformation Machine Learning Optimization Data Lake 70

Domino Data Lab

MARCH 6, 2019

Niels Kasch , cofounder of Miner & Kasch , an AI and Data Science consulting firm, provides insight from a deep learning session that occurred at the Maryland Data Science Conference. Outlook, with Justin Leto, Big Data & AI: State of the Industry, Labor Trends and Future Outlook. Introduction.

Deep Learning 55

Deep Learning Data Science Machine Learning Data Processing 55

Cloudera

NOVEMBER 29, 2021

The Data Impact Awards 2021 aim to recognize and reward the various organizations taking advantage of the latest Big Data services to successfully manage large amounts of data and thus improve their own organizations and the world. . You can become a data hero too.

Data Lake 77

Data Lake Data Warehouse Data Architecture Reporting 77

Cloudera

NOVEMBER 18, 2020

In fact, each of the 29 finalists represented organizations running cutting-edge use cases that showcase a winning enterprise data cloud strategy. To ensure maximum momentum and flawless service the Experian BIS Data Enrichment team decided to use the power of big data by utilizing Cloudera’s Data Science Workbench.

Internet Publishing and Broadcasting 123

Internet Publishing and Broadcasting Data-driven Broadcasting Digital Transformation 123

Domino Data Lab

MAY 1, 2019

This Domino Data Science Field Note provides highlights and excerpted slides from Chloe Mawer ’s “ The Ingredients of a Reproducible Machine Learning Model ” talk at a recent WiMLDS meetup. Mawer is a Principal Data Scientist at Lineage Logistics as well as an Adjunct Lecturer at Northwestern University. Conclusion.

Machine Learning 81

Machine Learning Testing Data Science Modeling 81

IBM Big Data Hub

MAY 18, 2023

We received the highest score in the “Current offering” category on the scorecard, the highest possible scores in the authoring, applications, and supporting products and services criteria, and the highest market presence score among all evaluated vendors. We are pleased that IBM has been named as a Leader in the Forrester Wave.

Reporting 87

Reporting Scorecard Predictive Modeling Machine Learning 87

Cloudera

JUNE 6, 2024

Recently, Cloudera, alongside OCBC, were named winners in the“ Best Big Data and Analytics Infrastructure Implementation ” category at The Asian Banker’s Financial Technology Innovation Awards 2024. Learn more about how Cloudera helped OCBC unlock business value with trusted data.

Contextual Data 83

Contextual Data Data Lake Data-driven Risk 83

Cloudera

FEBRUARY 15, 2023

Snatching victory from the jaws of defeat Amogh and his fellow hackathon team members felt the rush of victory after winning Cloudera’s 2022 global hackathon in the product development category. There Amogh majored in computer science and engineering with a specialization in data science.

Software 84

Software Visualization Data Science Marketing 84

Cloudera

DECEMBER 4, 2020

After a tumultuous year, the final award category at the Data Impact Awards was a much needed pick me up for everyone in attendance. Judge Cornelia Levy-Benchton teed up the award on the night and summed up the category finalists beautifully. Using CDF, custom NiFi flows were developed to automate the ingestion of COVID-19 data.

Forecasting 76

Forecasting Dashboards Modeling Testing 76

Cloudera

DECEMBER 2, 2020

The Industry Transformation category at our Data Impact Awards celebrates these organizations— the ones that have looked digital transformation in the eye and said “bring it on!” . The competition for this year’s category was fierce. The program provides training for new skills in data science.

Digital Transformation 67

Digital Transformation Cost-Benefit Data Science Data-driven 67

O'Reilly on Data

NOVEMBER 28, 2023

But that isn’t all the art that a company needs: “hero images” for blog posts, designs for reports and whitepapers, edits to publicity photos, and more are all necessary. The LLaMA-family models also fall into the “so-called open source” category that restricts what you can build. Is generative AI the answer? Perhaps not yet.

Enterprise 342

Enterprise Testing Modeling Reporting 342