DataRobot Blog

APRIL 29, 2022

With the big data revolution of recent years, predictive models are being rapidly integrated into more and more business processes. When business decisions are made based on bad models, the consequences can be severe. In 2017, additional regulation targeted much smaller financial institutions in the U.S. What is a model?

Risk 111

Risk Modeling IT Risk Management 111

Analytics Vidhya

AUGUST 17, 2022

A team at Google Brain developed Transformers in 2017, and they are now replacing RNN models like long short-term memory(LSTM) as the model of choice for NLP […]. Introduction Transformers were one of the game-changer advancements in Natural language processing in the last decade.

Testing 247

Testing Data Science Publishing Modeling 247

IBM Big Data Hub

DECEMBER 4, 2017

They voraciously read blog posts about incorporating machine learning, choosing the best possible data model, determining how to make the most of data science skills, working with open source frameworks and more. Here are our top 10 blog posts of 2017.

Big Data 77

Big Data Data Analytics Analytics Machine Learning 77

CIO Business Intelligence

MAY 29, 2024

For many, this spring’s RSA show was an energized, optimistic experience, similar to the pre-pandemic years of 2017-2019. There was a definite buzz about cybersecurity investments and M&A picking up steam, AI-based defense and AI-delivered industry models, and overall product innovation. For CISOs, the messages were clear.

Machine Learning 112

Machine Learning Enterprise Data-driven Modeling 112

Domino Data Lab

FEBRUARY 10, 2019

This blog post provides insights into why machine learning teams have challenges with managing machine learning projects. Why are Machine Learning Projects so Hard to Manage? I’ve watched lots of companies attempt to deploy machine learning?—?some Why is this? We might expect that.

Machine Learning 63

Machine Learning Modeling Deep Learning Metrics 63

CIO Business Intelligence

MARCH 29, 2024

That’s why Rocket Mortgage has been a vigorous implementor of machine learning and AI technologies — and why CIO Brian Woodring emphasizes a “human in the loop” AI strategy that will not be pinned down to any one generative AI model. The rest are on premises.

Data Lake 112

Data Lake Machine Learning Data Warehouse Unstructured Data 112

CIO Business Intelligence

SEPTEMBER 29, 2023

These skills include expertise in areas such as text preprocessing, tokenization, topic modeling, stop word removal, text classification, keyword extraction, speech tagging, sentiment analysis, text generation, emotion analysis, language modeling, and much more.

Deep Learning 142

Deep Learning Machine Learning Modeling Consulting 142

O'Reilly on Data

MARCH 19, 2020

We use it as a data source for our annual platform analysis , and we’re using it as the basis for this report, where we take a close look at the most-used and most-searched topics in machine learning (ML) and artificial intelligence (AI) on O’Reilly [1]. What’s driving this growth? disproportionately involve Python. What’s in a name?

Deep Learning 281

Deep Learning Machine Learning Data-driven Modeling 281

Cloudera

JANUARY 19, 2018

Before we get too far into 2018, let’s take a look at the ten most popular Cloudera VISION blogs from 2017. On April 28, 2017, Mike Olson , as one of the founders of Cloudera, writes about the initial public offering, and what the milestone means. “We Machine Learning in the Age of Big Data. This blog has everything!

Machine Learning 45

Machine Learning IoT Big Data Insurance 45

Smart Data Collective

APRIL 5, 2022

They are using tools like Amazon SageMaker to take advantage of more powerful machine learning capabilities. Amazon SageMaker is a hardware accelerator platform that uses cloud-based machine learning technology. IBM Watson Studio is a very popular solution for handling machine learning and data science tasks.

Cost-Benefit 124

Cost-Benefit Machine Learning Data Science Unstructured Data 124

CIO Business Intelligence

JANUARY 4, 2023

Experts point to Southwest’s point-to-point operating model as problematic in recovering from major weather issues compared to the hub-and-spoke model used by many major airlines. billion in stock buybacks between 2017 and 2019. While weather may have been the root cause, the 16,000 flights canceled between Dec.

Digital Transformation 131

Digital Transformation Software Technology Modeling 131

Decision Management Solutions

JUNE 4, 2021

Like many enterprises, you’ve likely made a hefty investment in analytic technology—from interactive dashboards and advanced visualization tools to data mining, predictive analytics, machine learning (ML), and artificial intelligence (AI). 1 MIT Sloan Management Review September 06, 2017.

Analytics Technologies 52

Analytics Technologies Technology Modeling Key Performance Indicator 52

DMBS2

DECEMBER 12, 2017

As I wrote back then in a post about the connection between machine learning and the rest of AI , It is my opinion that most things called “intelligence” — natural and artificial alike — have a great deal to do with pattern recognition and response. Accordingly, it can be reasonable to equate machine learning and AI.

Machine Learning 50

Machine Learning Predictive Modeling Deep Learning Modeling 50

O'Reilly on Data

JANUARY 22, 2019

An exploration of three types of errors inherent in all financial models. At Hedged Capital , an AI-first financial trading and advisory firm, we use probabilistic models to trade the financial markets. All financial models are wrong. Clearly, a map will not be able to capture the richness of the terrain it models.

Modeling 136

Modeling Finance Uncertainty Data mining 136

CIO Business Intelligence

AUGUST 11, 2023

How natural language processing works NLP leverages machine learning (ML) algorithms trained on unstructured data, typically text, to analyze how elements of human language are structured together to impart meaning. Transformer models take applications such as language translation and chatbots to a new level.

Unstructured Data 137

Unstructured Data Modeling Machine Learning Data mining 137

Jedox

JULY 17, 2018

Many of us already profit from machine learning or artificial intelligence – often without even thinking about it. Artificial intelligence and machine learning excel at processing and analyzing large amounts of data from multiple sources in a very short time.

Machine Learning 47

Machine Learning Technology Digital Transformation Predictive Analytics 47

AWS Big Data

AUGUST 7, 2023

Amazon Redshift ML makes it easy for data analysts and database developers to create, train, and apply machine learning (ML) models using familiar SQL commands in Amazon Redshift. With Redshift ML, you can take advantage of Amazon SageMaker , a fully managed ML service, without learning new tools or languages.

Forecasting 84

Forecasting Data Warehouse Machine Learning Modeling 84

CIO Business Intelligence

SEPTEMBER 7, 2022

Dubbed Cropin Cloud, the suite comes with the ability to ingest and process data, run machine learning models for quick analysis and decision making, and several applications specific to the industry’s needs. The company says it has partnered with more than 250 B2B customers.

B2B 82

B2B Contextual Data IoT Deep Learning 82

CIO Business Intelligence

APRIL 25, 2023

A transformer is a type of AI deep learning model that was first introduced by Google in a research paper in 2017. Five years later, transformer architecture has evolved to create powerful models such as ChatGPT. Meanwhile, however, many other labs have been developing their own generative AI models.

Experimentation 103

Experimentation Enterprise Deep Learning Modeling 103

CIO Business Intelligence

JUNE 21, 2022

As AWS continues to add more features ( machine learning and AI-based capabilities) to Amazon Connect since its release in 2017, there is lack of clarity in terms of the product placement and its market strategy, Miller believes. Lack of clarity in product placement. The question is who does AWS want to compete with?

Management 92

Management Machine Learning Interactive Marketing 92

Insight

AUGUST 29, 2019

In 2017, we expanded the location to include our Data Science program, and in early 2018, we welcomed our first Data Engineering Fellows. Jerry Chen was a Health Data Fellow in 2017 and joined Wayfair as a Senior Data Scientist on their Marketing team; he now manages the Data Science Measurement team.

Data Science 56

Data Science Machine Learning Sales Measurement 56

Cloudera

NOVEMBER 1, 2022

A quick trip in the congressional time machine to revisit 2017’s Modernizing Government Technology Act surfaces some of the most salient points regarding agencies’ challenges: The federal government spends nearly 75% of its annual information technology funding on operating and maintaining existing legacy information technology systems.

Cost-Benefit 88

Cost-Benefit Data Architecture Risk IoT 88

CIO Business Intelligence

APRIL 24, 2023

Generative AI (Artificial Intelligence) and its underlying foundation models represent a paradigm shift in innovation, significantly impacting enterprises exploring AI applications. These foundation models are trained on vast amounts of data. The model can then predict or classify new, previously unseen data.

Enterprise 52

Enterprise Deep Learning Modeling Machine Learning 52

Cloudera

MAY 15, 2018

Over the past decade, we have observed open source powered big data and analytics platforms evolve from large data storage containers to massively scalable advanced modeling platforms that seamlessly operate on-premises and in a multi-cloud environment. Derman (2016), Cesa (2017) & Bouchard (2018)).

Machine Learning 42

Machine Learning Recreation/Entertainment Finance Big Data 42

Jen Stirrup

FEBRUARY 1, 2023

The effects of AI will be magnified in the coming decade as manufacturing, retailing, transportation, finance, health care, law, advertising, insurance, entertainment, education, and virtually every other industry transform their core processes and business models to take advantage of machine learning.

Recreation/Entertainment 63

Recreation/Entertainment Testing Advertising Insurance 63

CIO Business Intelligence

MAY 20, 2022

That’s what some people asked of Adriana “Andi” Karaboutis, the former CIO of Dell who left the computer giant and was named National Grid’s global chief information and digital officer in 2017. Talent, data, and cloud operating models. Optimizing with machine learning. Her answer? She gets to change the world.

IT 91

IT Digital Transformation Internet of Things Data Architecture 91

IBM Big Data Hub

JULY 19, 2023

The explosion in digital data—in combination with declining availability of skilled and willing human resources to ingest and process the digital data in a compliant manner—is forcing life sciences organizations to explore AI, machine learning and now generative AI technologies. Why IBM Consulting for generative AI on AWS?

Consulting 60

Consulting Machine Learning Manufacturing Optimization 60

Smart Data Collective

MARCH 23, 2022

The ADA is modeled after the Civil Rights Act of 1964 in that it ensures that people with mental or physical disabilities are not discriminated against in the workplace while purchasing goods and services and when participating in state and local government programs and services. between Q1 of 2017 and Q1 of 2018.

Cost-Benefit 101

Cost-Benefit Data mining Sales Testing 101

O'Reilly on Data

JUNE 19, 2019

A look at the landscape of tools for building and deploying robust, production-ready machine learning models. Our surveys over the past couple of years have shown growing interest in machine learning (ML) among organizations from diverse industries. Model development. Model governance.

Modeling 196

Modeling Machine Learning Testing Metrics 196

Cloudera

MAY 27, 2021

It’s important to be conscious of this reality when creating algorithms and training models. This could be addressed with an explanation of how a technology works — how, for instance, machine learning (ML) engines get better at their tasks by being fed gobs of data. It’s not the machine’s fault.

Machine Learning 119

Machine Learning Big Data Consulting Technology 119

CIO Business Intelligence

MAY 4, 2022

CoorsTek IT earned CIO 100 innovation awards in 2021 and 2022 for their use of advanced analytics in IoT and machine learning to connect production machinery at the company’s 25 manufacturing sites around the world and for a “model plant” integrated systems strategy. What follows are edited excerpts of that conversation.

Manufacturing 78

Manufacturing IoT Strategy Finance 78

CIO Business Intelligence

MARCH 24, 2023

In June 2017, Idorsia had a lot on its plate, namely a new company to stand up, with 650 scientists and employees, a robust discovery pipeline, early-stage clinical assets, and plans to launch commercial products within five years. Companies across nearly every vertical are finding a transformational lifeline in industry clouds.

Consulting 87

Consulting Enterprise Machine Learning Technology 87

DataRobot

OCTOBER 27, 2021

Between 2013 and 2017, job listings in 27 states rose by 11 percent while applicant numbers tumbled by 24 percent, compounding talent vacancy issues within state and local governments. Machine learning models are transparent and explainable and consider only business-relevant information to avoid bias and promote equity and fairness.

Machine Learning 52

Machine Learning Modeling Reporting IT 52

IBM Big Data Hub

MAY 26, 2023

Leading life science companies are leveraging cloud for innovation around operational, revenue and business models. In 2017, 94% of hospitals used electronic clinical data from their EHR. AWS Shared Responsibility Model When it comes to security, AWS follows a Shared Responsibility Model between the customer and AWS.

Consulting 74

Consulting Cost-Benefit Optimization Machine Learning 74

CIO Business Intelligence

JULY 20, 2022

The 2022 State of the CIO research confirmed talent acquisition and retention strategies are a key issue for CIOs, cited by 38% of respondents, with cybersecurity skills, data science/analytics, and artificial intelligence (AI) and machine learning (ML) in top demand.

IT 130

IT Software Cost-Benefit Strategy 130

Jet Global

SEPTEMBER 4, 2020

Consultants and developers familiar with the AX data model could query the database using any number of different tools, including a myriad of different report writers. Data entities are more secure and arguably easier to master than the relational database model, but one downside is there are lots of them!

Data Lake 88

Data Lake OLAP Data Warehouse Unstructured Data 88

Hurwitz & Associates

MAY 15, 2018

To meet that challenge, Cloudera is now embarking on a major transition in its strategy that requires it to hold on to its predominant position in Hadoop analytics – and to become a provider of machine learning software supporting both on premises and public clouds. But it will have to move quickly to re-position the company.

Machine Learning 40

Machine Learning Data Warehouse Marketing Strategy 40