Cloudera

DECEMBER 3, 2021

In part 1 of this blog post, we discussed the need to be mindful of data bias and the resulting consequences when certain parameters are skewed. For example, training an interview screening model using education data often contains gender information. As discussed in this article , model design can also be a source of bias too.

Uncertainty 98

Uncertainty Measurement Metrics Risk 98

Ontotext

DECEMBER 15, 2023

Introduction InnoGraph will build a holistic knowledge graph of innovation based on Artificial Intelligence (AI), and more generally of the global “hitech” ecosystem. The official (first) repo is tensorflow/tensor2tensor that has topics: machine-learning reinforcement-learning deep-learning machine-translation tpu.

Machine Learning 69

Machine Learning Interactive Deep Learning Statistics 69

Cloudera

NOVEMBER 25, 2021

This includes systems based on AI and ML. Advances in AI have meant that we have moved from building systems that make decisions based on human defined rules, to systems trained on data. With the introduction of ML and Deep Learning (DL), it is now possible to build AI systems that have no ethical considerations at all.

Insurance 93

Insurance Machine Learning Deep Learning Reporting 93

CIO Business Intelligence

SEPTEMBER 21, 2023

Today’s foundational models are jacks-of-all-trades. With a pre-trained model, you can bring it into HR, finance, IT, customer service—all of us are touched by it.” Gen AI is that amplification and the world’s reaction to it is like enterprises and society reacting to the introduction of a foreign body. “We Everyone wants it.

Enterprise 130

Enterprise Consulting Modeling Cost-Benefit 130

IBM Big Data Hub

JANUARY 8, 2024

Organizations implementing successful business transformations are more likely to grow their existing businesses, eliminate silos, create revenue growth and business models and reinvent how they handle their operations. Organizations are increasingly investing in digital transformation as a way to maintain or grow a competitive advantage.

Digital Transformation 66

Digital Transformation Strategy Key Performance Indicator Cost-Benefit 66

Cloudera

AUGUST 3, 2022

The challenges of arbitrary code execution notwithstanding, there have been attempts to provide a stronger security model but with mixed results. The challenges of arbitrary code execution notwithstanding, there have been attempts to provide a stronger security model but with mixed results. Introducing Spark Secure Access Mode.

Snapshot 85

Snapshot Cost-Benefit Machine Learning Data Transformation 85

erwin

AUGUST 15, 2022

This blog is based upon a recent webcast that can be viewed here. For NoSQL, data lakes, and data lake houses—data modeling of both structured and unstructured data is somewhat novel and thorny. Moreover, this blog will provide readers with a firm foundation for NoSQL and data lakes as they move to the cloud. Operational.

Data Lake 52

Data Lake Modeling Unstructured Data Data Warehouse 52

Domino Data Lab

NOVEMBER 14, 2019

James Murdoch, Chandan Singh, Karl Kumber, and Reza Abbasi-Asi’s recent paper, “Definitions, methods, and applications in interpretable machine learning” Introduction. Model interpretability continues to spark public discourse among industry. Yet, Bin Yu, W. ” and advocate.

Modeling 71

Modeling Machine Learning Data Science Experimentation 71

Cloudera

JANUARY 15, 2021

Introduction. Cloudera Data Warehouse is a cloud-native data warehouse based on the Apache Impala and Apache Hive SQL engines, deployed using a containerized architecture based on Kubernetes. Some examples of recent optimizations in Impala include: New multithreading model (see dedicated blog post ). higher cost.

Data Warehouse 92

Data Warehouse Cost-Benefit Consulting Interactive 92

Cloudera

DECEMBER 20, 2022

This scenario suggests that in the not too distant future, there will be a large “long-tail” of producers that will have to be taken into account for any production forecasting model. McKinsey estimates that by 2035, 50% of energy will be wind and solar. Data efficiency in renewables. Intelligent network management.

Optimization 79

Optimization Data Analytics Analytics Cost-Benefit 79

Domino Data Lab

JANUARY 20, 2019

Introduction. What if there was a way to quantitatively measure whether your machine learning (ML) model reflects specific domain expertise or potential bias? The MLConf talk is based on a paper Kim co-authored and the code is available. with post-training explanations? on a global level instead of a local level ?

Testing 63

Testing Modeling Machine Learning Data Science 63

IBM Big Data Hub

JUNE 23, 2023

Insurers are also struggling with high, mostly fixed costs and the complexities of maintaining legacy systems, which makes current variable cost-based alternatives more attractive. Insurers want to shift from fixed to variable, “pay-as-you-go” operating costs.

Insurance 61

Insurance Cost-Benefit Digital Transformation Marketing 61

FineReport

JUNE 11, 2021

Also, we will give a brief introduction of what business analysts should do and the tools often used for BI&A. As companies striving to embrace digital transformation and become data-driven, business intelligence and analytics skills and experience are essential to building a data-savvy team. Definition. BI Dashboard (by FineReport).

Business Intelligence 98

Business Intelligence Analytics Dashboards Statistics 98

DataRobot Blog

JUNE 3, 2022

The influence of the GPT-3 language model has the potential to be both beneficial and misused. . Generative Pre-trained Transformer 3 (GPT-3) is a language model that utilizes deep-structured learning to predict human-like text. It was also fed the following introduction: “I am not a human. What is GPT-3?

Risk 52

Risk Predictive Modeling Modeling Technology 52

Sisense

JULY 3, 2019

Whether it is the now ubiquitous ‘next product to buy’ or excitement in the news evangelizing AI’s potential for detecting cancer, we have long passed the point where AI and Machine Learning are restricted to the technology lab. literally everyone (even my mother) is talking about AI these days. AI is nothing new for Sisense.

IT 74

IT Machine Learning Dashboards Visualization 74

AWS Big Data

JUNE 23, 2023

This blog post is co-written with Ori Nakar from Imperva. Imperva’s data lake is based on Amazon Simple Storage Service (Amazon S3), where data is continually loaded. Imperva Cloud WAF protects hundreds of thousands of websites and blocks billions of security events every day. Imperva harnesses data to improve their business outcomes.

Data Lake 72

Data Lake Cost-Benefit Dashboards Data Warehouse 72

Sisense

OCTOBER 29, 2020

We live in a world of data: There’s more of it than ever before, in a ceaselessly expanding array of forms and locations. Dealing with Data is your window into the ways data teams are tackling the challenges of this new world to help their companies and their customers thrive. It’s difficult not to get excited about this future.

Machine Learning 90

Machine Learning Data Collection Cost-Benefit Advertising 90

Sisense

FEBRUARY 1, 2021

As we clarify the functional distinction between the two types of frameworks and summarize the rationale for choosing one or the other, an exciting new event in the evolution of product life cycle management emerges: The application of machine-learning-based (ML) analytics is sharpening PLM frameworks.

Management 52

Management Analytics Manufacturing Cost-Benefit 52

Insight

MARCH 27, 2019

The main benefits and features of DeepAugment are: Reduces the error rate of CNN models (showed 60% decrease in error for CIFAR10 on WRN-28–10) Saves time by automating the process 50 times faster than Google’s previous solution– AutoAugment The finished package is on PyPI. To learn more about how I built this, read on!

Optimization 75

Optimization Cost-Benefit Modeling Strategy 75

Ontotext

NOVEMBER 22, 2020

If you wish to make an apple pie from scratch, you must first invent the universe. Carl Sagan, Cosmos. The quote above eloquently expresses the idea that even something as quotidian as an apple pie is the last link of a chain going back billions of years. You want to start at the very tip of the universe’s innovation.

Metadata 72

Metadata Cost-Benefit Unstructured Data Technology 72

FineReport

JUNE 11, 2021

Also, we will give a brief introduction of what business analysts should do and the tools often used for BI&A. As companies striving to embrace digital transformation and become data-driven, business intelligence and analytics skills and experience are essential to building a data-savvy team. Definition. BI Dashboard (by FineReport).

Business Intelligence 52

Business Intelligence Analytics Dashboards Statistics 52

Ontotext

JANUARY 21, 2021

Introduction. Even if you have detailed models of your business, data and the technology artifacts that support the business, ontology alignment is still an active area of research with few, if any, off the shelf tools to support such an effort. In this way, FIBO can give meaning to any data (e.g., This is a nontrivial task.

Modeling 72

Modeling Finance Technology Insurance 72

Domino Data Lab

JANUARY 6, 2019

In Paco Nathan ‘s latest column, he explores the theme of “learning data science” by diving into education programs, learning materials, educational approaches, as well as perceptions about education. Introduction. This month, let’s explore learning data science. Learning Data Science.

Data Science 56

Data Science Machine Learning Reporting Visualization 56

The Unofficial Google Data Science Blog

APRIL 17, 2017

Introduction Time series forecasting enjoys a rich and luminous history, and today is an essential element of most any business operation. Selection and aggregation of forecasts from an ensemble of models to produce a final forecast. So it should come as no surprise that Google has compiled and forecast time series for a long time.

Forecasting 83

Forecasting Modeling Statistics Uncertainty 83

Sisense

MAY 28, 2020

There are a wide range of scenarios where having super-fast access to real-time data can make a huge difference,” said Christelle Scharff, a professor and computer scientist based at Pace University in New York. The cloud isn’t the future; it’s right now. The world of data is constantly changing and speeding up every day.

Internet of Things 83

Internet of Things Metadata Data-driven Unstructured Data 83

datapine

DECEMBER 11, 2019

Gartner predicts that the service-based cloud application industry will be worth $143.7 Gartner predicts that the service-based cloud application industry will be worth $143.7 Learn what will enhance the SaaS infrastructure in our free cheat sheet! SaaS is taking over the cloud computing market. Dispelling 3 Common SaaS Myths.

Software 314

Software Cost-Benefit Data Processing Data-driven 314

O'Reilly on Data

MAY 14, 2020

This role includes everything a traditional PM does, but also requires an operational understanding of machine learning software development, along with a realistic view of its capabilities and limitations. In our previous article, What You Need to Know About Product Management for AI , we discussed the need for an AI Product Manager.

Management 363

Management Experimentation B2B Machine Learning 363

The Unofficial Google Data Science Blog

NOVEMBER 17, 2020

by TAMAN NARAYAN & SEN ZHAO A data scientist is often in possession of domain knowledge which she cannot easily apply to the structure of the model. On the one hand, basic statistical models (e.g. On the other hand, sophisticated machine learning models are flexible in their form but not easy to control.

Machine Learning 108

Machine Learning Deep Learning Modeling Interactive 108

datapine

NOVEMBER 19, 2019

Get the inside scoop and learn all the new buzzwords in tech for 2020! Exciting and futuristic, the concept of computer vision is based on computing devices or programs gaining the ability to extract detailed information from visual images. The solution? To keep abreast of current changes – at least at a level of basic understanding.

Technology 279

Technology Internet of Things IT IoT 279

Cloudera

MAY 19, 2021

Introduction. In the previous blog post in this series, we walked through the steps for leveraging Deep Learning in your Cloudera Machine Learning (CML) projects. RAPIDS brings the power of GPU compute to standard Data Science operations, be it exploratory data analysis, feature engineering or model building.

Machine Learning 136

Machine Learning Data Science Data Lake Modeling 136

IBM Big Data Hub

NOVEMBER 9, 2023

The foundation developed Liquid Prep , an intelligent mobile app-based watering solution, as part of the IBM Call for Code initiative in 2019. The foundation developed Liquid Prep , an intelligent mobile app-based watering solution, as part of the IBM Call for Code initiative in 2019.

IoT 97

IoT Software Data Processing Machine Learning 97

datapine

MARCH 25, 2022

While some experts try to underline that BA focuses, also, on predictive modeling and advanced statistics to evaluate what will happen in the future, BI is more focused on the present moment of data, making the decision based on current insights. Table of Contents. 1) What Is Business Intelligence And Analytics? 6) BI And BA Examples.

Business Intelligence 264

Business Intelligence Analytics Statistics Dashboards 264

Domino Data Lab

MAY 8, 2019

Paco Nathan’s latest article features several emerging threads adjacent to model interpretability. Introduction. I’ve been out themespotting and this month’s article features several emerging threads adjacent to the interpretability of machine learning models. Machine learning model interpretability.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

datapine

AUGUST 29, 2022

The argument of the book is based on the premise that everybody lies, even when answering an anonymous survey. The saying “knowledge is power” has never been more relevant, thanks to the widespread commercial use of big data and data analytics. The rate at which data is generated has increased exponentially in recent years.

Big Data 263

Big Data Data Analytics Analytics Data mining 263

AWS Big Data

OCTOBER 4, 2023

In this blog post, we share what we heard from our customers that led us to create Amazon DataZone and discuss specific customer use cases and quotes from customers who tried Amazon DataZone during our public preview. We are excited to announce the general availability of Amazon DataZone.

Metadata 105

Metadata Data Lake Publishing Data Governance 105

CIO Business Intelligence

JUNE 23, 2022

The aim being, according to a report in The Register , “to make it easier for enterprises to migrate VMware-based workloads to the cloud while allowing them to re-use on-premises license investments.”. Multi-cloud provides increased velocity, scale, and choice by enabling enterprises to create and deploy new services across clouds.

Enterprise 98

Enterprise Machine Learning Management Optimization 98

Domino Data Lab

FEBRUARY 12, 2020

Dean Wampler provides a distilled overview of Ray, an open source system for scaling Python systems from single machines to large clusters. Introduction. If you’re wondering if Ray should be part of your technical strategy for Python-based applications, especially ML and AI, this post is for you.

Experimentation 137

Experimentation Modeling Data Science Management 137