IBM Big Data Hub

APRIL 18, 2023

At this year’s National Association of Broadcasters (NAB) convention, the IBM sports and entertainment team accepted an Emmy® Award for its advancements in curating sports highlights through artificial intelligence (AI) and machine learning (ML). How did this come about?

Recreation/Entertainment 72

Recreation/Entertainment Broadcasting Unstructured Data Consulting 72

datapine

MARCH 31, 2022

The Bureau of Labor Statistics also states that in 2015, the annual median salary for BI analysts was $81,320. They use advanced technologies such as machine learning models to generate predictions about future business performance. They can help a company forecast demand, or anticipate fraud.

Business Intelligence 239

Business Intelligence Statistics Visualization Data-driven 239

bridgei2i

MAY 26, 2020

By allowing that, they could have a steady demand forecast based on sensing algorithms and react faster to such events. He has delivered hundreds of millions of dollars of impact to his clients in High-Tech CPG and Manufacturing Industries, particularly in the areas of demand forecasting, inventory and procurement planning. Transcript.

Enterprise 131

Enterprise Management Forecasting Manufacturing 131

O'Reilly on Data

JANUARY 22, 2019

They trade the markets using quantitative models based on non-financial theories such as information theory, data science, and machine learning. For such distributions, parameter values based on historical data are bound to introduce errors into forecasts. Bayesian Risk Management , by Matt Sekerke, Wiley, 2015.

Modeling 135

Modeling Finance Uncertainty Data mining 135

Rita Sallam

APRIL 2, 2023

The first featured analytics and BI platform Gartner Magic Quadrant leaders while the other showcased high interest data science and machine learning platforms. Here is the link to Alteryx’s Data Science and Machine Learning Bake-Off video. We did two Bake-Offs this year. In 2000, the Netherlands had 8.5

Optimization 52

Optimization Machine Learning Insurance Risk 52

Cloudera

MARCH 2, 2018

Bridgespan Group estimated in 2015 that only 6% of nonprofits use data to drive improvements in their work. The private sector already very successfully uses data analytics and machine learning not only to realise efficiency gains but also – even more importantly – to create completely new services and business models.

Data-driven 43

Data-driven Prescriptive Analytics Descriptive Analytics Machine Learning 43

DataRobot Blog

DECEMBER 7, 2019

This blog provides a unique take on using machine learning to predict free agent signings in the off-season. To answer this, we built our own player performance forecasting tool, which relied on an array of AI models to predict player performance between 1 and 10 years into the future. Specific Team & Signing Predictions.

Machine Learning 52

Machine Learning Forecasting Metrics Modeling 52

Cloudera

NOVEMBER 15, 2021

Seagate Technology forecasts that enterprise data will double from approximately 1 to 2 Petabytes (one Petabyte is 10^15 bytes) between 2020 and 2022. For example, the number of hyperscale centres is reported to have doubled between 2015 and 2020. Most of that data will be unstructured, and only about 10% will be stored.

Unstructured Data 94

Unstructured Data Recreation/Entertainment Structured Data Reporting 94

Rita Sallam

JULY 22, 2016

These intentions are also reflected in Gartner’s previous webinar poll results in March and in our 2015 market share results, which show a 63% growth in Modern BI market growth versus a 1.7% decline in traditional BI ( See: Market Share Analysis: Business Intelligence and Analytics Software, 2015 ).

Analytics 40

Analytics Business Intelligence Metadata Statistics 40

CIO Business Intelligence

MARCH 22, 2022

He co-founded Room on Call (now Hotelopedia) in 2015, where he set up the complete technology infrastructure, development, product management, and operations. He joined online pharmacy and medical diagnostics major Medlife in 2015 as its chief product officer and quit four years later as its chief technology officer.

Internet Publishing and Broadcasting 98

Internet Publishing and Broadcasting Digital Transformation Insurance Recreation/Entertainment 98

AWS Big Data

FEBRUARY 1, 2023

Furthermore, it created further opportunities for our data scientists and engineers to use AI and machine learning (ML) services to continuously feed and analyze data. He has been with Amazon since 2015,solving real-world challenges through technology that directly impact and improve the life of Amazon customers.

Optimization 52

Optimization Forecasting Data Lake Metadata 52

CIO Business Intelligence

AUGUST 28, 2023

Since the Paris Agreement was signed in 2015, businesses have been taking part to contribute in pursuing net zero and achieve emission reduction targets. The Internet of Things (IoT) – sensors and other technologies attached to objects – advanced analytics, and machine learning (ML) would all be applied to capture data.

Digital Transformation 119

Digital Transformation Internet of Things Dashboards IoT 119

AWS Big Data

SEPTEMBER 11, 2024

Hewlett-Packard acquired Aruba Networks in 2015, making it a wireless networking subsidiary with a wide range of next-generation network access solutions. With 14 years of experience in the IT industry, Ritesh has a strong background in Data Analytics, Data Management, Big Data systems and Machine Learning.

Data Architecture 86

Data Architecture Optimization Data Warehouse Metadata 86

Sisense

FEBRUARY 24, 2021

Whether that data is generated internally or gathered from an external application used by customers, organizations now use on-demand cloud computing resources to make sense of the data, discover trends, and make intelligent forecasts. Clearly, data is becoming more important to organizations.

Data Warehouse 69

Data Warehouse Big Data Metrics Visualization 69

Domino Data Lab

FEBRUARY 4, 2019

Spoiler alert: a research field called curiosity-driven learning is emerging at the nexis of experimental cognitive psychology and industry use cases for machine learning, particularly in gaming AI. Without delving into economic forecast techniques such as J curves, GPTs, etc., Modernists and structuralists beware.

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66

AWS Big Data

OCTOBER 23, 2023

Modern applications store massive amounts of data on Amazon Simple Storage Service (Amazon S3) data lakes, providing cost-effective and highly durable storage, and allowing you to run analytics and machine learning (ML) from your data lake to generate insights on your data. About the Authors Pathik Shah is a Sr.

Data Lake 106

Data Lake Visualization Optimization Interactive 106