Insight

APRIL 10, 2019

Insight’s Data Science & Data Engineering programs expand to Los Angeles Photo by Pedro Marroquin on Unsplash We are excited to announce that the Insight Data Science and Data Engineering Fellows Programs are expanding to Los Angeles beginning September 2019.

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Data Science 101

APRIL 12, 2019

There are three main reasons why data science has been rated as a top job according to research. Firstly, the number of available job openings is rapidly increasing and the highest in comparison to other jobs, data science has an extremely high job satisfaction rating, and the median annual salary base is undeniably desirable.

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David Menninger's Analyst Perspectives

SEPTEMBER 19, 2024

Snowflake was founded in 2012 to build a business around its cloud-based data warehouse with built-in data-sharing capabilities. Snowflake has expanded its reach over the years to address data engineering and data science, and long ago moved beyond being seen as just a cloud data warehouse.

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Cloudera

NOVEMBER 17, 2021

It feels like a lifetime ago that everyone was talking about data science as the sexiest job of the 21st century. There’s recognition that it’s nearly impossible to find the unicorn data scientist that was the apple of every CEO’s eye in 2012. Heck, it was so long ago that people were still meeting in person!

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Cloudera

SEPTEMBER 24, 2021

In a sense, there have been three phases of network analytics: the first was an appliance based monitoring phase; the second was an open-source expansion phase; and the third – that we are in right now – is a hybrid-data-cloud and governance phase. The Dawn of Telco Big Data: 2007-2012. Let’s examine how we got here.

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Analytics IoT Cost-Benefit Big Data 96

DataRobot

APRIL 23, 2019

In this Data Scientist Spotlight, you’re going to meet Sergey Yurgenson , the Director of Advanced Data Science Services at DataRobot. Sergey is a Kaggle Grandmaster who was named one of the top ten Kaggle data scientists in 2012.

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Data Science and Beyond

OCTOBER 22, 2014

Data science has been a hot term in the past few years. Despite this fact (or perhaps because of it), it still seems like there isn't a single unifying definition of data science. Data Scientist (n.): This post discusses my favourite definition.

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Smart Data Collective

APRIL 10, 2019

children are now growing up in a world where they encounter the effects of data analytics every day. However, topics of big data and data science typically circulate around traffic patterns, stock market trends, and digital information, topics that kids just cannot relate to.”

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Dataiku

NOVEMBER 24, 2022

It’s 2012 and you’re a data scientist. Your boss is impressed with the highly performant algorithms you’ve developed and other departments are in awe of your ability to turn seemingly nonsensical data into actionable business insights. Picture this. You have the “sexiest job of the 21st century.”

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O'Reilly on Data

SEPTEMBER 19, 2023

” There’s as much Keras, TensorFlow, and Torch today as there was Hadoop back in 2010-2012. The data scientist—sorry, “machine learning engineer” or “AI specialist”—job interview now involves one of those toolkits, or one of the higher-level abstractions such as HuggingFace Transformers.

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DataRobot

JUNE 18, 2019

In 2012, DataRobot co-founders Jeremy Achin and Tom de Godoy recognized the profound impact that AI and machine learning could have on organizations, but that there wouldn’t be enough data scientists to meet the demand.

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3AG Systems

DECEMBER 8, 2022

Is Data Scientist still the sexiest job of the 21 st century ? Davenport and DJ Patil addressing this question, which they first posed in 2012. Diversifying data management should have begun in earnest in data science’s earliest days. In 2022, Harvard Business Review posted an article by Thomas H.

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Domino Data Lab

JUNE 2, 2019

Co-chair Paco Nathan provides highlights of Rev 2 , a data science leaders summit. We held Rev 2 May 23-24 in NYC, as the place where “data science leaders and their teams come to learn from each other.” If you lead a data science team/org, DM me and I’ll send you an invite to data-head.slack.com ”.

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CIO Business Intelligence

JANUARY 10, 2023

Based on Gartner data, the overall supply of tech workers has increased only by a few percentage points at most. In key function areas, like data science, software engineering, and security, talent supply remains as tight or tighter than before.” Careers, IT Skills, Staff Management.

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Data Science and Beyond

APRIL 5, 2014

Over the years, I’ve participated in a few Kaggle competitions and wrote a bit about my experiences. This page contains pointers to all my posts, and will be updated if/when I participate in more competitions.

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AWS Big Data

APRIL 26, 2024

IAM Identity Center now supports trusted identity propagation , a streamlined experience for users who require access to data with AWS analytics services. Fine grained access control is done using Lake Formation.

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Smart Data Collective

SEPTEMBER 17, 2019

Towards Data Science wrote about the changes that machine learning is bringing to this field. It may surprise you to find out that there were 679 widespread, weather-related power outages between 2003 and 2012. Machine learning is creating pivotal change in the energy industry. Minimize Expensive Downtime. Department of Energy.

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Machine Learning Enterprise Insurance Cost-Benefit 91

CIO Business Intelligence

APRIL 15, 2022

But according to the UK’s Turing Institute, a national center for data science and AI, the predictive tools made little to no difference. In 2012, an analytics project by retail titan Target showcased how much companies can learn about customers from their data. Target analytics violated privacy.

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Domino Data Lab

AUGUST 8, 2019

Paco Nathan ‘s latest monthly article covers Sci Foo as well as why data science leaders should rethink hiring and training priorities for their data science teams. In this episode I’ll cover themes from Sci Foo and important takeaways that data science teams should be tracking. Introduction.

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Domino Data Lab

SEPTEMBER 9, 2019

Data science teams in industry must work with lots of text, one of the top four categories of data used in machine learning. That’s excellent for supporting really interesting workflow integrations in data science work. Usually it’s human-generated text, but not always. get_data(). ?

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Insight

AUGUST 8, 2019

Whether they’re looking to transition to Data Science, Health Data Science, Data Engineering, Artificial Intelligence, DevOps Engineering, Decentralized Consensus, or Security, Insight Fellows typically already have 90% of the skills they need to succeed in the field. Insight’s model is very different from this.

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Data Science and Beyond

MARCH 29, 2015

I started in March 2009 and submitted my thesis in August 2012. I did my PhD at Monash University under the supervision of Ingrid Zukerman and Fabian Bohnert.

IT 52

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CIO Business Intelligence

MARCH 21, 2023

Accenture on Tuesday said that it was acquiring Flutura, an internet of things (IoT) and data science services providing firm, for an undisclosed sum to boost its industrial AI services that it sells under the umbrella of Applied Intelligence. The company, which has raised $8.5

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Data Science 101

SEPTEMBER 1, 2023

I graduated as a physician in 2012 in Venezuela, it’s a 6 years long career there. You mentioned changing careers, and you have a unique career change. Can you talk about your career change and what influenced that decision? Of course!

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AWS Big Data

AUGUST 7, 2023

Time series data is plottable on a line graph and such time series graphs are valuable tools for visualizing the data. Data scientists use them to identify forecasting data characteristics. To use Forecast, you need to have the AmazonForecastFullAccess policy.

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DataRobot

NOVEMBER 12, 2021

DataRobot was founded in 2012 and today is one of the most widely deployed and proven AI platforms in the market, delivering over a trillion predictions for leading companies around the world. At DataRobot, for some of our most sensitive data science efforts, the project starts with an impact assessment to identify stakeholders.

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Domino Data Lab

APRIL 3, 2019

The top three items are essentially “the devil you know” for firms which want to invest in data science: data platform, integration, data prep. Data governance shows up as the fourth-most-popular kind of solution that enterprise teams were adopting or evaluating during 2019. Rinse, lather, repeat.

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Machine Learning Data Governance Metadata Data Science 84

Smart Data Collective

OCTOBER 17, 2022

In fact, you may have even heard about IDC’s new Global DataSphere Forecast, 2021-2025 , which projects that global data production and replication will expand at a compound annual growth rate of 23% during the projection period, reaching 181 zettabytes in 2025. zettabytes of data in 2020, a tenfold increase from 6.5

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Domino Data Lab

SEPTEMBER 25, 2019

Conducting exploratory analysis and extracting meaningful insights from data are core components of research and data science work. Time series data is commonly encountered. We see it when working with log data, financial data, transactional data, and when measuring anything in a real engineering system. . >

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Cloudera

MAY 10, 2018

Cloudera 2017 Data Impact Award Winners. We are excited to kick off the 2018 Data Impact Awards ! Since 2012, the Data Impact Awards have showcased how organizations are using Cloudera and the power of data to transform themselves and achieve dramatic results. Read how to get nominated. link] #DataImpactAwards.

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Machine Learning Predictive Analytics Data-driven Data Science 41

The Unofficial Google Data Science Blog

JULY 11, 2017

SCOTT Time series data are everywhere, but time series modeling is a fairly specialized area within statistics and data science. Introduction Time series data appear in a surprising number of applications, ranging from business, to the physical and social sciences, to health, medicine, and engineering. Benoit, D.

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Domino Data Lab

OCTOBER 7, 2020

During his tenure as a Professor of Biostatistics, Bill focused on statistical methods grants in emerging areas of medicine, and worked with researchers when there were no known statistical methods for analyzing their study data. Louis Olin School of Business in 2012.

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Statistics Testing Predictive Modeling Big Data 145

DataRobot

SEPTEMBER 14, 2021

Since DataRobot was founded in 2012, we’ve been committed to democratizing access to the power of AI. We’re building a platform for all users: data scientists, analytics experts, business users, and IT. Let’s dive into each of these areas and talk about how we’re delivering the DataRobot AI Cloud Platform with our 7.2

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Alation

DECEMBER 15, 2022

December 2012: Alation forms and goes to work creating the first enterprise data catalog. Later, in its inaugural report on data catalogs, Forrester Research recognizes that “Alation started the MLDC trend.”. June 2021: Snowflake names Alation its Data Governance Partner of the Year.

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Domino Data Lab

MARCH 3, 2019

Paco Nathan covers recent research on data infrastructure as well as adoption of machine learning and AI in the enterprise. Welcome back to our monthly series about data science! This month, the theme is not specifically about conference summaries; rather, it’s about a set of follow-up surveys from Strata Data attendees.

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Insight

APRIL 16, 2019

Since 2012, Insight has helped over 2,000 Fellows transition to cutting-edge careers in specialized technical fields at more than 700 companies across the US and Canada.

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Machine Learning Software Risk Reporting 68

IBM Big Data Hub

SEPTEMBER 27, 2022

IBM Research has been developing trustworthy AI tools since 2012. Recently an American multinational financial institution came to IBM with several challenges, including deploying machine learning models in the hundreds that were built using multiple data science stacks comprised of open source and third-party tools.

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