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. Why focus on the Global 2000 accounts? Going Forward.

Machine Learning 40

Machine Learning Data Warehouse Marketing Software 40

CIO Business Intelligence

MAY 10, 2023

focuses on driving mobility and tapping on the then-nascent Internet of Things, the subsequent phase prominently features technology such as artificial intelligence and machine learning and ways to extend their use across every aspect of the business. Whereas digital transformation in its earliest iteration—digital transformation 1.0—focuses

Enterprise 52

Enterprise Digital Transformation Internet of Things B2B 52

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 62

Recreation/Entertainment Testing Advertising Insurance 62

Smarten

APRIL 26, 2022

Now, consider the relevance of the knowledge gained from a degree achieved in 2000 in an IT related discipline. In an era of smart phones, apps, machine learning, natural language processing, DevOPs, AI and GPS, how can one compete? How much has changed since then? Consider how quickly the development environment has changed.

Technology 67

Technology Software Enterprise Machine Learning 67

Ontotext

SEPTEMBER 2, 2020

Machine learning coupled with knowledge graphs is already collecting, categorizing, tagging and adding the needed structure to the endless (and useless) swathes of unstructured data and creating predictive analytic tools. The post What Does 2000 Year Old Concrete Have to Do with Knowledge Graphs? appeared first on Ontotext.

Insurance 72

Insurance Metadata Publishing Unstructured Data 72

IBM Big Data Hub

JANUARY 10, 2023

This Index proved that in almost 2000 companies, organizational health is closely linked to performance. Operationalize Change / Execution Management => Execute on shopfloor level based on facts & figures / using Machine Learning / AI. Final thoughts on data insights for change management.

Management 52

Management Data-driven Data mining Business Objectives 52

Business Over Broadway

SEPTEMBER 5, 2018

million people have been directly affected by natural disasters since 2000. Using machine learning, deep learning, and visual recognition to improve critical processes. The devastating impact of natural disasters can be measured in human suffering, loss of life and economic impact. It is estimated that 2.5

Data Science 57

Data Science Statistics Advertising Deep Learning 57

Peter James Thomas

AUGUST 18, 2018

From 2000 to 2015, I had some success [5] with designing and implementing Data Warehouse architectures much like the following: As a lot of my work then was in Insurance or related fields, the Analytical Repositories tended to be Actuarial Databases and / or Exposure Management Databases, developed in collaboration with such teams.

Data Lake 63

Data Lake Data Warehouse Data mining Statistics 63

Rita Sallam

SEPTEMBER 11, 2020

The United States grew the least at only 2% from 2000 to 2016. Don’t miss the Data Science and Machine Learning Bake-Off on September 15th at 1:pm EDT. In 2016, life expectancy in the United States (78.5) was almost 4yrs less than the average of all other countries combined (82). To register and find the replay click here.

Statistics 96

Statistics Machine Learning Sales Data Science 96

AWS Big Data

JULY 27, 2023

He is passionate about databases, analytics, machine learning, and architecting solutions. But in addition to that, we should use a PartiQL statement to handle arrays if applicable. Matt lives in Minneapolis, Minnesota, and in his free time enjoys spending time with friends and family.

Data Warehouse 80

Data Warehouse Analytics Metadata Dashboards 80

Insight

MARCH 27, 2019

Even after many experiments, a machine learning (ML) engineer may still not discover the best option. The problem, however, is determining which augmentation technique is best for the dataset at hand. Discovering the proper method requires time-consuming experimentation.

Optimization 75

Optimization Cost-Benefit Modeling Strategy 75

FineReport

APRIL 26, 2023

This is why big tech companies are switching to Spark as it is highly suitable for machine learning and artificial intelligence. However, the per-node cost of the Hadoop cluster is around $1000 to $2000 per terabyte. Real-time processing: Spark Streaming can handle real-time streaming. Less complex administration.

Big Data 52

Big Data Data Analytics Analytics Cost-Benefit 52

Domino Data Lab

MAY 20, 2021

Machine Learning algorithms often need to handle highly-imbalanced datasets. A weighted nearest neighbor algorithm for learning with symbolic features. Machine Learning, 57–78. UCI machine learning repository. Machine learning for the detection of oil spills in satellite radar images.

Machine Learning 136

Machine Learning Metrics Data mining Knowledge Discovery 136

Cloudera

FEBRUARY 28, 2024

Notice that the tool will produce 2000 records. After the producer is finished with creating the topic and producing the 2000 records, the topic is immediately replicated. The tool is available by default on all CDP clusters, and can be called directly by typing its name. No need to specify full paths. Let’s replicate.

Management 72

Management Testing Data Processing Big Data 72

Cloudera

JUNE 25, 2019

Over 2000 customers and partners joined us in this live webinar featuring a first-look at our upcoming cloud-native CDP services. Multi-function – solves the most demanding business use cases – applying real-time stream processing, data warehousing, data science and iterative machine learning across shared data at scale.

Enterprise 89

Enterprise Machine Learning Recreation/Entertainment IoT 89

Corinium

APRIL 25, 2019

The areas of fastest AI innovation and adoption are around machine learning, using it for more and more use cases where there exists large volumes of data, and human beings just don’t have the bandwidth or can’t keep up with ongoing stream of transactions, events, or whatever other changes in the environment being described by that data.

Insurance 150

Insurance Risk IoT Cost-Benefit 150

Alation

FEBRUARY 13, 2020

Since the year 2000, new discoveries are coming at a fast and furious pace in many technology sectors, including software, material science, neuroscience, and genetics. And celebrating the ability for Machine Learning Data Catalogs to support data culture in every enterprise.

Machine Learning 52

Machine Learning Data-driven Big Data Technology 52

CIO Business Intelligence

JULY 24, 2023

“Growth, profitability, productivity, and engagement are all now part of the CIO role that 20 years ago was all about internal operations,” says Herlihy, who has been an IT executive since landing his first CIO position in 2000.

IT 98

IT Sales Business Objectives Marketing 98

AWS Big Data

FEBRUARY 21, 2024

AWS Glue is a serverless data integration service that makes it straightforward to discover, prepare, move, and integrate data from multiple sources for analytics, machine learning (ML), and application development. split(',') glue_jobname = Variable.get("glue_job_dag.glue_job_name").strip()

Strategy 88

Strategy Management Visualization IT 88

Sisense

FEBRUARY 24, 2021

In fact, in a 2019 edition of Industrial Management & Data Systems, a research team led by Yu Nie noted that prior to the year 2000, there were only six chief data officers in the world. The role is a relative newcomer to the boardroom. Clearly, data is becoming more important to organizations.

Data Warehouse 69

Data Warehouse Big Data Metrics Visualization 69

Domino Data Lab

DECEMBER 2, 2020

DBSCAN is implemented in the popular Python machine learning library Scikit-Learn , and because this implementation is scalable and well-tested, I will be using it to demonstrate how DBSCAN works in practice. from sklearn.datasets import make_moons #moons_X: Data, moon_y: Labels moons_X, moon_y = make_moons(n_samples = 2000).

Metrics 116

Metrics KDD Testing Machine Learning 116

CDW Research Hub

AUGUST 14, 2019

In this post, we’ll look at structuring happy and unhappy conversation paths, various machine learning policies and configurations to improve your dialogue model, and use a transfer learning-based language model to generate natural conversations. epochs: 2000. Rasa recently released version 1.0, attn_shift_range: 5.

Interactive 53

Interactive Modeling Machine Learning Testing 53

Occam's Razor

MAY 2, 2017

For example, your company is shifting aggressively into leveraging Machine-Learning in your marketing strategies and hence have made a shift to Smart Display Campaigns a huge priority. Let your competition be lame and play by 2000 worldviews. A quick best practice. The site has tons and tons of content, almost haphazardly so.

Metrics 141

Metrics Key Performance Indicator B2B Measurement 141

Domino Data Lab

AUGUST 29, 2019

It also covers using Keras to construct a deep Q-learning network that learns within a simulated video game environment. Recent feats in machine learning, like developing a program to defeat a human in a game Go, have been powered by reinforcement learning. Essential Theory of Reinforcement Learning.

Optimization 111

Optimization Modeling Deep Learning Metrics 111

Cloudera

DECEMBER 12, 2018

And then I moved from Madison, Wisconsin to San Francisco in 2000, to chase the dotcom dream. Certainly interesting to hear that your background started in the dotcom age as I actually worked at a dot com back in 2000. And they might be using something like Spark for machine learning over that data to train it.

Data Warehouse 42

Data Warehouse Marketing Big Data Data Lake 42

The Unofficial Google Data Science Blog

APRIL 23, 2024

Biostatistics, 1(1):27-34, 03 2000. [2] Journal of Machine Learning Research, 17(83):1–5, 2016. [23] If you do try this out, please let us know how it goes in the comments. References [1] Andrew Gelman. Should we take measurements at an intermediate design point? 2] Nist / sematech. R package version 1.0.1. [22]

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

Peter James Thomas

AUGUST 30, 2018

Limitations in the state of the art in machine learning. It is indeed true that Machine Learning can be quite good at dealing with some types or bad or missing data. A survey of EIS [8] professionals back in 2000 would have done the same. Lack of funds to buy useful datasets from external sources.

Data Science 75

Data Science Data Quality Machine Learning Business Intelligence 75

Jet Global

OCTOBER 25, 2023

Every day, more companies unlock the potential of artificial intelligence (AI) and machine learning. When AI and machine learning are utilized in embedded analytics, the results are impressive. It uses past data, machine learning, and smart AI to forecast what’s coming down the road.

Analytics 52

Analytics Predictive Analytics Machine Learning Software 52

Jet Global

JULY 17, 2023

Predictive analytics is a branch of analytics that uses historical data, machine learning, and Artificial Intelligence (AI) to help users act preemptively. Predictive analytics answers this question: “What is most likely to happen based on my current data, and what can I do to change that outcome?”

Predictive Analytics 52

Predictive Analytics Analytics Statistics Reporting 52

Jet Global

FEBRUARY 21, 2024

Predictive Analytics Predictive analytics, machine learning and artificial intelligence have lit a fire under your customers. White-labelled embedded analytics software kicks this up a notch, but allowing you to beautify dashboards with your customer’s personal branding, guaranteed to catch the eye of their buying team.

Analytics 52

Analytics Dashboards Predictive Analytics Software 52

Jet Global

FEBRUARY 1, 2024

Embedded AI and machine learning models give your customers the foresight they need to make informed decisions, optimize resources, and gain a competitive edge. Get your application to market faster with built-in data power.

Analytics 52

Analytics Dashboards Reporting Marketing 52

Jet Global

JULY 17, 2023

To improve the effectiveness of the data cleaning process, the current trend is to migrate from manual data cleaning to more intelligent, machine learning-based processes. In fact, most project teams spend 60 to 80 percent of total project time cleaning their data—and this goes for both BI and predictive analytics.

Predictive Analytics 52

Predictive Analytics Reporting Software Strategy 52

Jet Global

MAY 9, 2024

Machine Learning Pipelines : These pipelines support the entire lifecycle of a machine learning model, including data ingestion , data preprocessing, model training, evaluation, and deployment. For example, migrating customer data from an on-premises database to a cloud-based CRM system. What is an ETL pipeline?

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52

Jet Global

MAY 12, 2023

Users can track sales events, analyze customer behavior, and even predict future sales trends using advanced machine learning algorithms. With Logi Symphony, your customers can also enjoy the features and benefits that come with a fully loaded analytics platform.

Analytics 52

Analytics Slice and Dice Sales Cost-Benefit 52

Jet Global

NOVEMBER 15, 2021

The rise of artificial intelligence and robotic process automation gives a hint as to where machine learning capacity is headed towards. Currently, there are technological processes available that may revolutionize your tax function.

Metrics 52

Metrics Reporting KPI Risk Management 52

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 said, spaCy has been quick to incorporate the SOTA advances in machine learning, effectively becoming a conduit for moving research into industry.

Deep Learning 110

Deep Learning Machine Learning Visualization Data Science 110

Jet Global

SEPTEMBER 1, 2023

Predictive analytics refers to the use of historical data, machine learning, and artificial intelligence to predict what will happen in the future. Enhanced Skill Development: Building your own software allows your application team to develop new skills in data science, machine learning, and analytics.

Predictive Analytics 52

Predictive Analytics Risk Analytics Software 52