CIO Business Intelligence

JANUARY 10, 2024

From IT’s point of view, there’s going to be a steep trajectory over the next few years, spearheaded by generative AI and machine learning, that will dramatically change how people live and work. Then there’s thinking outside the box to figure out what the unknown risks are regarding generative AI and machine learning.

Machine Learning 52

Machine Learning Technology Insurance Management 52

Smart Data Collective

MARCH 17, 2020

The concept of data science was first introduced in 2001, but it started gaining popularity in 2010. That’s where the machine learning came to existence. Data Science is a prerequisite of machine learning. Machine learning is not limited to one type of development. Sexiest Job of 21 st Century.

Data Science 97

Data Science Big Data Machine Learning Statistics 97

CIO Business Intelligence

NOVEMBER 20, 2023

The emergence of Siri in 2010 ushered in a new era of conversational assistants. These intelligent digital workers (IDWs) will combine conversational bots’ ease-of-use with the skills of specialized machine learning models, predicts author and OneReach.ai CEO Robb Wilson.

Machine Learning 104

Machine Learning Data-driven Software Interactive 104

CIO Business Intelligence

FEBRUARY 14, 2024

The same issues were revealed when Microsoft launched Delve, and before that when the FAST integration brought powerful search to SharePoint in 2010. Artificial Intelligence, Budgeting, CIO, Data Governance, Data Management, Generative AI, IT Governance, IT Leadership, Machine Learning, Security But it was.

IT 142

IT Metadata Data-driven Management 142

DataRobot

JULY 6, 2021

The Behavioural Insights Team, also known unofficially as the “Nudge Unit,” was founded by the UK government in 2010 to use behavioral science to make public policies and services more effective. Use advanced machine learning algorithms to deeply understand customer purchasing behavior.

Marketing 105

Marketing Sales Data-driven Statistics 105

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

CIO Business Intelligence

APRIL 24, 2023

Deep learning emerged in academia in the early 2000s, with broader industry adoption starting around 2010. A subfield of machine learning – deep learning – trains models for various tasks by presenting them with examples. Transfer learning emerged in the mid-2000s and quickly became popular.

Enterprise 52

Enterprise Deep Learning Modeling Machine Learning 52

Domino Data Lab

APRIL 3, 2019

Plus, the more mature machine learning (ML) practices place greater emphasis on these kinds of solutions than the less experienced organizations. That presented an opportunity to learn, putting me in the same position as much of the audience. Enterprise Repository Era” (1990–2010) – first generation DG solutions.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

Smart Data Collective

APRIL 5, 2019

million in Series B in 2010, and was quickly acquired by Twitter for $40 million in 2011. It leverages expert systems and deep machine learning to provide actionable customer experience insights. During this time, they raised $300,000 in seed funds, $3.5 This is useful for businesses with an international presence.

Big Data 79

Big Data Interactive Data-driven Metrics 79

Timo Elliott

JANUARY 10, 2022

They are applying machine learning to create more intelligent trade claims management. He also cited the Costco example of using analytics and machine learning to create algorithms to optimize bread production, again using cameras. Live and learn. I’ve been talking about them for a long time.

Data Processing 121

Data Processing Manufacturing Machine Learning Technology 121

Domino Data Lab

AUGUST 5, 2019

I had just seen Chris speak in New York about his work building a team to develop and deploy machine learning in Data Science at The New York Times and I also attended his recent data ethics talk. In 2010, Netflix cancelled their second recommendation contest after a privacy lawsuit.

Data Science 93

Data Science Data-driven Modeling Machine Learning 93

O'Reilly on Data

MARCH 20, 2019

Apply fair and private models, white-hat and forensic model debugging, and common sense to protect machine learning models from malicious actors. Like many others, I’ve known for some time that machine learning models themselves could pose security risks. Data poisoning attacks. General concerns.

Modeling 222

Modeling Machine Learning Predictive Modeling Consulting 222

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. MongoDB MongoDB, which gained popularity in 2010, is a NoSQL document-oriented database platform that is free and open-source. Real-time processing: Spark Streaming can handle real-time streaming.

Big Data 52

Big Data Data Analytics Analytics Cost-Benefit 52

O'Reilly on Data

SEPTEMBER 19, 2023

They’d grown tired of learning what is; now they wanted to know what’s next. Stage 2: Machine learning models Hadoop could kind of do ML, thanks to third-party tools. It felt like, almost overnight, all of machine learning took on some kind of neural backend. Those algorithms packaged with scikit-learn?

Machine Learning 247

Machine Learning Testing Modeling Cost-Benefit 247

Smart Data Collective

JANUARY 13, 2021

The Internet is one of the most significant facets of our lives to be touched by data analytics, machine learning and other forms of new data technology. A Gallup poll conducted back in 2010 found that most Internet users were willing to pay for online privacy. There are a number of benefits of machine learning with websites.

Big Data 88

Big Data Machine Learning Data-driven Manufacturing 88

BizAcuity

MAY 10, 2022

The platform was acquired by Salesforce in 2010 for over USD $200 million. 2010: Windows Azure is now Microsoft Azure (IaaS) aggressively trying to penetrate into the cloud market with a redefined strategy. The platform was acquired by Salesforce in 2010 for over USD $200 million. You can read more on IaaS, PaaS and SaaS here ].

Data-driven 52

Data-driven IoT Unstructured Data Data Lake 52

Sisense

APRIL 14, 2020

Data is everywhere and every company is focused on what to do with their available data stores: customer journey follow-ups, harvesting precious behavioral insights, performing market analyses, and uncovering sales predictions through Machine Learning, just to name a few. Defining a social network.

Machine Learning 105

Machine Learning Measurement People Analytics Sales 105

O'Reilly on Data

JULY 20, 2021

After the release of the iPad in 2010 Craig Hockenberry discussed the great value of communal computing but also the concerns : “When you pass it around, you’re giving everyone who touches it the opportunity to mess with your private life, whether intentionally or not. This expectation isn’t a new one either.

Risk 304

Risk Software Interactive Modeling 304

Occam's Razor

AUGUST 28, 2017

Machine Learning is already changing lots of fields, the one I’m most excited about is what’s happening in healthcare. From the ability to speed up discovery of new medicines to the unbelievable speed with which Machine Learning techniques are becoming particularly adept at diagnosis (think blood reports, X-rays, cancers etc.).

Deep Learning 139

Deep Learning Machine Learning Marketing Strategy 139

Cloudera

APRIL 21, 2022

(Remember, a pedabyte of data is roughly equivalent to 500 billion pages of standard printed text) A solution was needed to backstop those never-ending streams of data into a single, universally available platform, using advanced analytics powered by machine learning optimized for a cloud service. The core of the EHR system.

Metadata 89

Metadata Informatics Insurance Data Processing 89

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. In machine learning, one of the most basic classification algorithms is k-Nearest Neighbors (k-NN) classification.

Metrics 116

Metrics KDD Testing Machine Learning 116

Domino Data Lab

SEPTEMBER 18, 2019

This post covers data exploration using machine learning and interactive plotting. As Domino seeks to help data scientists accelerate their work, we reached out to AWP Pearson for permission to excerpt the chapter “Real Estate” from the book, Pragmatic AI: An Introduction to Cloud-Based Machine Learning by Noah Gift.

Visualization 99

Visualization Interactive Machine Learning Data Science 99

The Unofficial Google Data Science Blog

AUGUST 27, 2019

A machine learning classifier serves this task perfectly. Statistics in Biopharmaceutical Research, 2010. [4] But in a world without perfect knowledge of $f$, the heuristic still holds — if we have an approximate rule to separate bad videos from the good ones, we could use it to design our importance distribution $q$.

Metrics 98

Metrics Statistics Uncertainty Optimization 98

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 Business Intelligence / Data Warehousing professionals back in 2010 would have generated something very like the list above.

Data Science 75

Data Science Data Quality Machine Learning Business Intelligence 75

O'Reilly on Data

JANUARY 25, 2021

We’re not pretending the frameworks themselves are comparable—Spring is primarily for backend and middleware development (though it includes a web framework); React and Angular are for frontend development; and scikit-learn and PyTorch are machine learning libraries. AI, Machine Learning, and Data.

Machine Learning 363

Machine Learning Software Testing Technology 363

Edwin Chen

SEPTEMBER 29, 2011

Classification (machine learning) 0.322. Inception (2010 movie) 0.535. The Social Network (2010 movie) 0.513. Machine Learning 0.326. Book Recommendations 0.33. Engineering Recruiting 0.33. Search Engines 0.329. Social Search 0.329. Data Science 0.328. History 0.328. Interaction Design 0.326. Writing 0.319.

Finance 81

Finance Interactive Machine Learning Advertising 81