O'Reilly on Data

DECEMBER 12, 2019

Not least is the broadening realization that ML models can fail. And that’s why model debugging, the art and science of understanding and fixing problems in ML models, is so critical to the future of ML. Because all ML models make mistakes, everyone who cares about ML should also care about model debugging. [1]

Machine Learning 191

Machine Learning Modeling Testing Risk Management 191

O'Reilly on Data

MARCH 19, 2020

Our analysis of ML- and AI-related data from the O’Reilly online learning platform indicates: Unsupervised learning surged in 2019, with usage up by 172%. Deep learning cooled slightly in 2019, slipping 10% relative to 2018, but deep learning still accounted for 22% of all AI/ML usage. Growth in ML and AI is unabated.

Deep Learning 277

Deep Learning Machine Learning Data-driven Modeling 277

TDAN

JUNE 2, 2020

The domain of AI and data science so far has created significant value in the technological landscape. 2019 witnessed record-breaking AI funding, and it’s mostly possible because, over the years, decision making has […]. However, the path to reaching success isn’t easy and quick.

Data Science 52

Data Science Deep Learning Technology Business Intelligence 52

Domino Data Lab

JANUARY 24, 2019

Before we get too far into 2019, I wanted to take a brief moment to reflect on some of the changes we’ve seen in the market. In 2018 we saw the “data science platform” market rapidly crystallize into three distinct product segments. Proprietary (often GUI-driven) data science platforms. Reflections.

Data Science 65

Data Science Marketing Data-driven Statistics 65

KDnuggets

SEPTEMBER 25, 2019

Today, as companies have finally come to understand the value that data science can bring, more and more emphasis is being placed on the implementation of data science in production systems.

Data Science 86

Data Science Modeling 86

Rocket-Powered Data Science

MARCH 19, 2021

This article quotes an older market projection (from 2019) , which estimated “the global industrial IoT market could reach $14.2 Another dimension to this story, of course, is the Future of Work discussion, including creation of new job titles and roles, and the demise of older job titles and roles. trillion by 2030.”.

Internet of Things 259

Internet of Things Analytics IoT Prescriptive Analytics 259

DataRobot Blog

AUGUST 23, 2019

The next day, in the men’s final, we watched the match between our model’s top two favorites, Novak Djokovic (39%) and Roger Federer (32%) compete in an epic final that saw Novak Djokovic win his fifth Wimbledon title. With the 2019 US Open starting, we wanted to see if we could use DataRobot to predict how this tournament will play out.

Predictive Modeling 52

Predictive Modeling Modeling Marketing Analytics Data Science 52

FineReport

NOVEMBER 26, 2019

You will find that they are designed according to the data analysis process. First, data processing, data cleaning, and then data modeling, finally data visualization that uses presentation of charts to identify problems and influence decision-making. The Skills That Data Analysts Need to Master.

Data Analytics 98

Data Analytics Analytics Statistics Visualization 98

Decision Management Solutions

DECEMBER 12, 2018

Bill Franks, Tom Davenport and Bob Morison of the International Institute for Analytics recently published their 2019 Analytics Predictions & Priorities. They had some great predictions and suggested priorities around the ethics of analytics, the value of data and the use of AI in fraud and cybersecurity. Merge AI and Analytics.

Analytics 40

Analytics Predictive Analytics Modeling Data-driven 40

Cloudera

MAY 28, 2019

But rather as businesses look to operationalize machine learning capabilities at scale, they’ll turn increasingly to commercial platforms, with connectors to open source , where investments in enterprise features like collaboration, reuse, transparency, model management and data platform integration have been focused. Stay tuned.

Data Science 50

Data Science Machine Learning Data Strategy Cost-Benefit 50

DataRobot

JUNE 17, 2021

I remember my peers recommended staying in academia, but I thought it would be a distraction–all I wanted to do was work on Eureqa and try to create AI to help scientists to discover new laws of physics in raw data. At the time, I had a small following of people interested in using Eureqa to derive mathematical formulas and models.

Modeling 52

Modeling Experimentation Machine Learning Measurement 52

Jen Stirrup

DECEMBER 14, 2018

I’d hoped for some downtime at this time of year, but I’ve picked up a crucial data science project which needs to be delivered over Christmas so there isn’t much downtime. I was a Data Ambassador for DataKind this year. Here is the list of goals for 2019: Contracts and Partnerships. So it works well.

Consulting 56

Consulting Business Intelligence Data Science Marketing 56

O'Reilly on Data

FEBRUARY 4, 2019

In this post, I’ll describe some of the key areas of interest and concern highlighted by respondents from Europe, while describing how some of these topics will be covered at the upcoming Strata Data conference in London (April 29 - May 2, 2019). Machine Learning model lifecycle management. Temporal data and time-series.

Machine Learning 277

Machine Learning Enterprise IoT Big Data 277

KDnuggets

SEPTEMBER 13, 2019

I am a Git god, why do I need another version control system for Machine Learning Projects?

Machine Learning 99

Machine Learning Data Science Modeling 99

Business Over Broadway

JULY 22, 2020

Top tools for automation were related to model selection and data augmentation. marketing, content management), and data professionals have many different tools, methods and products they can use to extract useful insights. Today’s post is about the machine learning methods and tools data professionals used in 2019.

Machine Learning 104

Machine Learning Data Science Modeling Marketing 104

Smart Data Collective

SEPTEMBER 30, 2019

Machine learning and other big data technology has rendered password security a greater concern. Password Security in the Age of Big Data. Alexander Polyakov of Towards Data Science discussed some of the ways that they are using machine learning to exploit their victims. Hackers are becoming more tech-savvy than ever.

Machine Learning 71

Machine Learning Big Data Risk Interactive 71

KDnuggets

OCTOBER 15, 2019

Follow this step-by-step tutorial using Tensorflow to setup a DC/OS Data Science Engine as a PaaS for enabling distributed multi-node, multi-GPU model training.

Data Science 53

Data Science Enterprise Modeling 53

CIO Business Intelligence

FEBRUARY 15, 2024

As Henkel CDIO Michael Nilles puts it, by 2019, Marc Andreessen’s pronouncement that “software is eating the world” had come true for the CPG sector, and Henkel was at risk of falling behind. “We We took it seriously and said we need to have software, data, and AI capabilities,” says Nilles, who signed on to the CDIO role at the time.

B2B 133

B2B Optimization Machine Learning Software 133

KDnuggets

JULY 30, 2019

This technical webinar on Aug 14 discusses traditional and modern approaches for interpreting black box models. Additionally, we will review cutting edge research coming out of UCSF, CMU, and industry.

Data Science 85

Data Science Modeling Machine Learning 85

Domino Data Lab

JUNE 13, 2019

Many data scientists and researchers have used the MNIST test set of 10,000 samples for training and testing models for over 20 years. 2018 , 2019 ], the rediscovery of the 50,000 lost MNIST test digits provides an opportunity to quantify the degradation of the official MNIST test set over a quarter-century of experimental research.”

Testing 83

Testing Data Science Experimentation Metadata 83

CIO Business Intelligence

MAY 6, 2022

We believe the scalability challenges revolve around two factors — the lack of access to contextualized operational data and the skills gap to use complex data science and AI tools on the factory floor,” Charlie Sheridan, technology director of global manufacturing at Google Cloud, wrote in a blog post.

Manufacturing 138

Manufacturing Analytics Machine Learning IoT 138

Data Science 101

MAY 6, 2019

I think in physics one of the things that attracted me most to the field that I studied, which was particle physics, was the ability to leverage computer science mathematical modeling and data visualization to solve big questions. And what kind of transformation do you need to apply to the data set to enable modeling?

Data Science 98

Data Science Modeling Machine Learning Testing 98

CIO Business Intelligence

MAY 17, 2024

Skills currently fueling increased pay include cybersecurity (55%), cloud (51%), AI and ML (46%), software development (44%), and data science and database management (33%), according to data from Robert Half. There are just not enough people with AI experience to be able to go out and put that as a job description ‘must have.’

IT 132

IT Insurance Reporting Manufacturing 132

CIO Business Intelligence

DECEMBER 28, 2023

Procter & Gamble also used IoT and machine language models to implement new solutions on their manufacturing lines. On top of that, we implemented our AI factory, which is a workbench for our data scientists to develop machine learning systems with speed and quality.” Cretella agrees.

IT 123

IT Manufacturing Machine Learning IoT 123

KDnuggets

AUGUST 21, 2019

This week's news: Become More Marketable as a Data Scientist; Command Line Basics Every Data Scientist Should Know; Chatbots with Keras!; Understanding Cancer using Machine Learning; Statistical Modelling vs Machine Learning; Is Kaggle Learn a "Faster Data Science Education?"; and much more!

Data Science 48

Data Science Marketing Statistics Machine Learning 48

Rocket-Powered Data Science

MARCH 10, 2020

In 2019, I was asked to write the Foreword for the book “ Graph Algorithms: Practical Examples in Apache Spark and Neo4j “ , by Mark Needham and Amy E. I wrote an extensive piece on the power of graph databases, linked data, graph algorithms, and various significant graph analytics applications.

Metadata 250

Metadata Machine Learning ROI Prescriptive Analytics 250

Cloudera

JULY 10, 2019

Prior to the merger, the two companies distributed their products under somewhat different open source licensing models. Aligning the two models was one of the last items on our merger to-do list. Aligning our open source licensing strategy and business model was a community process as well.

Software 108

Software Strategy Modeling Data Processing 108

CIO Business Intelligence

OCTOBER 4, 2023

An example of the impact of AI can be seen from 2019 to 2022, when the company’s loss rate reduced by almost half, in part thanks to advances in algorithms and AI technology. PayPal’s deep learning models can be trained and put into production in two weeks, and even quicker for simpler algorithms.

Digital Transformation 125

Digital Transformation Deep Learning Data Lake Risk 125

DataRobot

JUNE 29, 2021

Well, just imagine a production machine learning model that always stays accurate after it’s deployed—all by itself. Machine learning models trained on 2019 data didn’t know what to do. Above image shows a DataRobot MLOps retraining policy set to trigger when data drift occurs. Why do I think this? Over and over.

Machine Learning 80

Machine Learning Data Processing Forecasting Modeling 80

CIO Business Intelligence

DECEMBER 12, 2023

The auto maker, too, was moving away from oil, having announced plans not long before to make the Jaguar range all-electric by 2025, and to offer electric versions of all its other models by the end of the decade.

Digital Transformation 112

Digital Transformation Manufacturing Consulting Software 112

KDnuggets

AUGUST 14, 2019

At times it may seem Machine Learning can be done these days without a sound statistical background but those people are not really understanding the different nuances. Code written to make it easier does not negate the need for an in-depth understanding of the problem.

Machine Learning 116

Machine Learning Statistics Modeling IT 116

DataRobot

MARCH 9, 2021

For the past couple of years ( 2019 , 2020 ), I’ve been enjoying the exercise of using DataRobot’s enterprise AI platform to generate predictions for who is going to win certain GRAMMY awards, specifically Song of the Year and, as of last year, Record of the Year. Modeling Workflow. is this song a favorite to win?),

Machine Learning 98

Machine Learning Recreation/Entertainment Modeling Data Science 98

DataRobot

AUGUST 5, 2021

In 2019, Utah struck a deal with Banjo, a threat detection firm selling AI services to process live traffic feeds, dispatch logs, and other data. After making their first estimate, all participants were shown rental price predictions from a machine learning model. Is there too much hype about AI or too much doomsaying?

Uncertainty 98

Uncertainty Sales Risk Statistics 98

CIO Business Intelligence

NOVEMBER 27, 2023

Roughly 26% of tech jobs in the US are held by women, a decrease from about 33% in 2019, according to CompTIA’s 2023 State of the Tech Workforce report. to help students of all ages gain real-world skills in AI, data science, and other emerging technologies. Provided programs and services that encourage self-improvement.

Technology 89

Technology Forecasting Data Science Reporting 89

Decision Management Solutions

MARCH 11, 2019

February 20 th , 2019 W. The three main topics covered in the webinar are: “What is decision ‘modeling’ and where does it apply” “How do you choose the right analytics” “What are the best practices for deploying analytics into operations”. What is decision ‘modeling’ and where does it apply”. It’s not data modeling.

Management 74

Management IT Data Science Modeling 74

CIO Business Intelligence

APRIL 28, 2022

Right from the start, auxmoney leveraged cloud-enabled analytics for its unique risk models and digital processes to further its mission. Particularly in Asia Pacific , revenues for big data and analytics solutions providers hit US$22.6bn in 2020 , with financial services companies ranking among their biggest clients.

Analytics 87

Analytics Insurance Big Data Uncertainty 87

Insight

AUGUST 8, 2019

Setting the record straight about the best program for transitioning to careers in data and tech New York Insight Fellows in June 2019 Over the past seven years, Insight has helped more than 2,000 Fellows transition into new careers in data and tech. Insight’s model is very different from this.

Data Science 66

Data Science Cost-Benefit Big Data Management 66