CIO Business Intelligence

FEBRUARY 9, 2024

For example, in 2015 the league dramatically increased its data collection efforts by equipping all players with RFID sensors that pinpoint every player’s field position, speed, distance traveled, and acceleration in real-time. This season, the NFL has worked closely with Amazon Web Services (AWS) to debut a new joint effort: Digital Athlete.

Recreation/Entertainment 129

Recreation/Entertainment Data-driven Risk Digital Transformation 129

Cloudera

NOVEMBER 18, 2020

2- Leverage Real-time Data and Machine Learning. Effective fraud prevention requires sophisticated analytical approaches driven by real-time data and Machine Learning. Since 2015, they have been successfully fighting money laundering and wider economic threats. Learn more about Simudyne here.

Data Strategy 105

Data Strategy Strategy Machine Learning Risk 105

CIO Business Intelligence

SEPTEMBER 19, 2023

AI personalization utilizes data, customer engagement, deep learning, natural language processing, machine learning, and more to curate highly tailored experiences to end-users and customers.

Enterprise 140

Enterprise Cost-Benefit Optimization Deep Learning 140

CIO Business Intelligence

JUNE 7, 2022

Predictive analytics applies techniques such as statistical modeling, forecasting, and machine learning to the output of descriptive and diagnostic analytics to make predictions about future outcomes. In business, predictive analytics uses machine learning, business rules, and algorithms.

Data Analytics 128

Data Analytics Diagnostic Analytics Management Analytics 128

CIO Business Intelligence

OCTOBER 18, 2023

Starting in 2015, the company began to digitalize all sales and after-sales processes, a purpose reinforced by a promotion of synergies between distribution channels that led Nationale-Nederlanden to become an omnichannel company, which made it easier for customers to choose where, how, and when to engage with it.

Digital Transformation 113

Digital Transformation Insurance Interactive Sales 113

IBM Big Data Hub

AUGUST 11, 2023

Machine learning (ML), a subset of artificial intelligence (AI), is an important piece of data-driven innovation. Machine learning engineers take massive datasets and use statistical methods to create algorithms that are trained to find patterns and uncover key insights in data mining projects. What is MLOps?

Data Science 53

Data Science Machine Learning Cost-Benefit Deep Learning 53

Domino Data Lab

AUGUST 1, 2021

The interest in interpretation of machine learning has been rapidly accelerating in the last decade. This can be attributed to the popularity that machine learning algorithms, and more specifically deep learning, has been gaining in various domains. 2015) for additional details. See Wei et al. Bahdanau, D.,

Modeling 139

Modeling Deep Learning Machine Learning Knowledge Discovery 139

IBM Big Data Hub

FEBRUARY 7, 2024

Sustainable technology: New ways to do more With a boom in artificial intelligence (AI) , machine learning (ML) and a host of other advanced technologies, 2024 is poised to the be the year for tech-driven sustainability. The smart factories that make up Industry 4.0 Join the IBM Sustainability Community 1 Green transition creates $10.3T

Reporting 89

Reporting Internet of Things Cost-Benefit Data-driven 89

Smart Data Collective

JUNE 18, 2021

Machine learning technology has been instrumental to the future of the criminal justice system. Fortunately, machine learning and predictive analytics technology can also help on the other side of the equation. We have previously talked about the role of predictive analytics in helping solve crimes.

Predictive Analytics 67

Predictive Analytics Forecasting Analytics Big Data 67

CIO Business Intelligence

APRIL 5, 2022

At the center, however, is an IT culture focused on learning and the “entrepreneurial spirit,” says Mike Eason, senior vice president and CIO of enterprise data and machine learning engineering at Capital One. A cultural commitment. Capital One has over 11,000 engineers operating across more than 2,000 agile teams.

IT 94

IT Machine Learning Software Technology 94

CIO Business Intelligence

OCTOBER 21, 2022

When Curt Garner became Chipotle’s first CIO in 2015, the only technology used for online restaurant ordering was, “believe it or not,” a fax machine, he says. Seven years later, the Newport Beach, Calif.-based

Digital Transformation 142

Digital Transformation Data Lake Forecasting Technology 142

Insight

FEBRUARY 27, 2019

New York is in the midst of an explosive period of growth in artificial intelligence and machine learning. However, when it comes to the concentration of artificial intelligence and machine learning jobs in the market, it looks like NYC even has San Francisco beat. Feel free to get in touch. An astonishing 11.6%

Machine Learning 64

Machine Learning Manufacturing Finance IoT 64

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

Insight

AUGUST 29, 2019

Insight Boston began its journey in 2015, with the first and only fellowship program dedicated to a career in Health Data Science. At the Lightning Chat event, she walked us through her approach to unifying high-dimensional clinical data by combining schema mapping and machine learning.

Data Science 56

Data Science Machine Learning Sales Measurement 56

Alation

DECEMBER 15, 2022

January 2015: Alation acquires its first customer. March 2015: Alation emerges from stealth mode to launch the first official data catalog to empower people in enterprises to easily find, understand, govern and use data for informed decision making that supports the business.

Metadata 52

Metadata Data Governance Data Quality Marketing 52

Cloudera

SEPTEMBER 29, 2021

The Indian government has also been working towards going digital with the launch of Digital India in 2015, a campaign that sought to provide access to government services electronically.

Digital Transformation 83

Digital Transformation Data Governance Data-driven Uncertainty 83

Rita Sallam

JULY 31, 2017

Machine learning automation is affecting all of enterprise software, but will completely transform how we build, analyze, and consume data and analytics. A new paradigm — augmented analytics — has emerged, which we started writing about in 2015 (“Smart Data Discovery: Enabling a New Class of Citizen Data Scientists”).

Marketing 72

Marketing Analytics Machine Learning Data Science 72

Domino Data Lab

OCTOBER 28, 2021

However, the ability to learn is not an ability exclusive to humans and certainly isn’t constrained to a strictly academic setting or to a certain period of a person’s life. Indeed, the ability to learn is universally present across humans, animals, and even plants (Karban, 2015), and is an ongoing process that takes place continually.

Machine Learning 52

Machine Learning 52

BI-Survey

MARCH 23, 2023

The company DataGalaxy was founded in 2015 in Lyon, France, by Lazhar Sellami and Sébastien Thomas. by machine learning) is not available yet, but work is underway on this. This makes it easier to bring the data catalog into the company without having to constantly purchase additional licenses.

Metadata 52

Metadata Marketing Data Quality Machine Learning 52

Smarten

NOVEMBER 20, 2023

The field of AI includes planning and learning, natural language processing (NLP) and machine learning, as well as reasoning and perception, neural networks, economics, mathematics and statistics. Services Open AI OpenAI was founded in 2015 by Elon Musk, Sam Altman and others.

Technology 52

Technology Digital Transformation Software Consulting 52

Smart Data Collective

APRIL 3, 2022

Machine learning tools have enabled remote workers to convert speech from video conversations into text, so they don’t have to record notes as much. However, it is a good idea to take notes manually, even if machine learning can do the job for you. One of the benefits is that it makes it a lot easier to take notes.

Machine Learning 96

Machine Learning Risk Technology IT 96

DataRobot

JANUARY 25, 2022

Trillion Inventory Distortion Problem , Greg Buzek, 2015). DataRobot’s Automated Time Series anomaly detection uses unsupervised machine learning workflows to detect anomalies and provides the blueprints to identify those anomalies. In the retail industry alone, over and under-stock issues equate to an annual loss of $1.1

Forecasting 52

Forecasting Cost-Benefit Data-driven Data Science 52

Domino Data Lab

JULY 2, 2019

Doesn’t this seem like a worthy goal for machine learning—to make the machines learn to work more effectively? For more background about program synthesis, check out “ Program Synthesis Explained ” by James Bornholt from 2015, as well as the more recent “ Program Synthesis in 2017-18 ” by Alex Polozov from 2018.

Metadata 105

Metadata Machine Learning Data Science Data-driven 105

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

Octopai

JANUARY 19, 2021

About Octopai: Octopai was founded in 2015 by BI professionals who realized the need for dynamic solutions in a stagnant market. The company was recognized as a Gartner Cool Vendor for Data Science and Machine Learning in 2018 and their investors include North First Ventures, Gefen Capital and iAngels.

Metadata 52

Metadata ROI Optimization Data Quality 52

datapine

SEPTEMBER 27, 2022

Going through topics such as how to construct datasets for exploration, analysis, and machine learning, to tips on how to design and develop codes using SQL for data analysis, this book serves as the perfect beginner’s guide to the topic. 17) “SQL Database Programming” (2015 Edition) By Chris Fehily. Viescas, Douglas J.

Business Intelligence 292

Business Intelligence Data Warehouse Data Processing Data mining 292

Smart Data Collective

FEBRUARY 14, 2023

This includes utilizing personalization technology, which relies heavily on machine learning. Since the advent of Progressive Web Apps (PWAs) in 2015, many developers are increasingly migrating from mobile apps to browser-based platforms. They will replace mobile apps for many applications.

Risk 116

Risk Technology Optimization Machine Learning 116

CIO Business Intelligence

MAY 17, 2022

In particular, the company has low confidence in its ability to address fundamental problems with machine learning and AI applications, according to the document. In 2015, Google’s Photos app labeled pictures of black people as “gorillas.” Artificial Intelligence, Data Management, Data Science, Machine Learning

Risk 140

Risk Consulting Machine Learning Data Science 140

DataRobot

AUGUST 20, 2021

He served as Vice Chairman of the Joint Chiefs of Staff, the nation’s second-highest ranking military officer, from 2011-2015. Admiral Winnefeld explains that the best protection against an unintended consequence is to build ethical decision-making rules into machine learning algorithms for lethal autonomous systems.

Machine Learning 52

Machine Learning Technology IT 52

Occam's Razor

MARCH 30, 2017

Machine Learning | Marketing. Machine Learning | Analytics. People tend to use these phrases almost interchangeably: Artificial Intelligence (AI), Machine Learning (ML) and Deep Learning. Most Deep Learning methods involve artificial neural networks, modeling how our bran works.

Marketing Analytics 166

Marketing Analytics Marketing Analytics Deep Learning 166

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. The two principal authors for spaCy , Matthew Honnibal and Ines Montani, launched the project in 2015 and industry adoption was rapid. Usually it’s human-generated text, but not always.

Deep Learning 110

Deep Learning Machine Learning Data Science Visualization 110

DMBS2

DECEMBER 12, 2017

Most of my comments about artificial intelligence in December, 2015 still hold true. 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.

Machine Learning 50

Machine Learning Predictive Modeling Deep Learning Modeling 50

AWS Big Data

JULY 26, 2023

AWS offers AWS Glue to help you integrate your data from multiple sources on serverless infrastructure for analysis, machine learning (ML), and application development. Hutto, Earl| |1937-11-07| null|2015-11-19| Ertel| male| Allen|01679bc3-da21-482.|[{E000208, H001018, biogui.|[link] link] (de),| Earl Hutto|[{null, Earl Dewi.|

Data Integration 83

Data Integration Interactive Machine Learning Big Data 83

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

Smart Data Collective

JUNE 10, 2019

They use machine learning tools that make it harder than ever for people to evade taxes. Prior to January 2015, members of AICPA were able to simply buy the qualification for a fee – without fulfilling any requirements or taking an exam. In some states, the titles “accountant” and/or “auditor” can only be used by CPAs.

Big Data 70

Big Data Finance Machine Learning Management 70

Domino Data Lab

JUNE 8, 2021

Support Vector Machines (SVMs) are supervised learning models with a wide range of applications in text classification (Joachims, 1998), image recognition (Decoste and Schölkopf, 2002), image segmentation (Barghout, 2015), anomaly detection (Schölkopf et al., Training invariant support vector machines. 1999) and more.

Optimization 76

Optimization Machine Learning Measurement Data Science 76

Smart Data Collective

JUNE 14, 2019

Machine learning algorithms make it easier to plan your schedule, because they can help optimize your schedule. In 2015, Gartner wrote a great piece on the proliferation of big data and its role in facilitating organization. That’s where a digital calendar comes in. Give yourself a real break. We are always on the move.

Big Data 99

Big Data Machine Learning Optimization Reporting 99