Data Science 101

JUNE 3, 2019

Cloud Programming Simplified: A Berkeley View on Serverless Computing (2019) – Serverless computing is very popular nowadays and this article covers some of the limitations.

Data Science 96

Data Science Machine Learning Modeling Software 96

O'Reilly on Data

APRIL 23, 2024

But in 2013 and 2014, it remained stuck at 83% , and while in the ten years since, it has reached 95% , it had become clear that the easy money that came from acquiring more users was ending. Some of those innovations, like Amazon’s cloud computing business, represented enormous new markets and a new business model.

Advertising 270

Advertising Cost-Benefit Marketing Risk 270

Smart Data Collective

FEBRUARY 4, 2020

Current R&D Models Provide Diminishing Returns. In a report on the failure rates of drug discovery efforts between 2013 and 2015, Richard K. Now, picture the same process using heuristic models, machine vision, and artificial intelligence. Artificial intelligence can help us take better care of those we’ve left behind.

Experimentation 100

Experimentation Testing Modeling Strategy 100

Insight

MARCH 12, 2020

In 2013, Robert Galbraith?—?an The AIgent was built with BERT, Google’s state-of-the-art language model. In this article, I will discuss the construction of the AIgent, from data collection to model assembly. More relevant to the AIgent is Google’s BERT model, a task-agnostic (i.e. an aspiring author?—?finished

Modeling 59

Modeling Metadata Publishing Sales 59

CIO Business Intelligence

MAY 4, 2022

In fact, it has been available since 2013. After adopting the MITRE ATT&CK as their common language and model for describing attacks and attackers, the critical infrastructure organization’s security team can now translate between operational aspects of security and the potential impact of a successful attack.

Measurement 105

Measurement Marketing Testing Visualization 105

The Data Visualisation Catalogue

JANUARY 24, 2022

Mapping shifting hierarchical and regional tendencies in an urban network through alluvial diagrams (2013). Bayesian Modelling of Alluvial Diagram Complexity (2021). This is the first piece of research that empirically assesses, quantifies, and models the complexity of Alluvial Diagrams to aid in improving their effectiveness.

Visualization 77

Visualization Reporting Modeling IT 77

Smart Data Collective

SEPTEMBER 17, 2020

A 2013 survey conducted by the IBM’s Institute of Business Value and the University of Oxford showed that 71% of the financial service firms had already adopted analytics and big data. Big Data can efficiently enhance the ways firms utilize predictive models in the risk management discipline. The Underlying Concept.

Big Data 142

Big Data Finance Risk Management Risk 142

AWS Big Data

AUGUST 7, 2023

Amazon Redshift ML makes it easy for data analysts and database developers to create, train, and apply machine learning (ML) models using familiar SQL commands in Amazon Redshift. Simply use SQL statements to create and train SageMaker ML models using your Redshift data and then use these models to make predictions.

Forecasting 85

Forecasting Data Warehouse Machine Learning Modeling 85

Smart Data Collective

MARCH 27, 2020

Insurance companies have access to stats on what make and model of car is stolen more often or involved in more crashes. For instance, the 2000 Honda Civic is the most stolen car in America and the Mitsubishi Mirage (in the 2013-2017 model range) has the most fatal crashes. Telematics.

Insurance 108

Insurance Measurement Risk Cost-Benefit 108

Smart Data Collective

JUNE 18, 2021

The Challenge offers an opportunity for contestants to win prize money totaling over $700,000 for their development of a recidivism forecasting model using data provided by NIJ. The Challenge uses data from the State of Georgia about persons released from prison to parole supervision for the period January 1, 2013, through December 31, 2015.

Predictive Analytics 68

Predictive Analytics Forecasting Analytics Big Data 68

DataRobot

OCTOBER 27, 2021

Between 2013 and 2017, job listings in 27 states rose by 11 percent while applicant numbers tumbled by 24 percent, compounding talent vacancy issues within state and local governments. Machine learning models are transparent and explainable and consider only business-relevant information to avoid bias and promote equity and fairness.

Machine Learning 52

Machine Learning Modeling Reporting IT 52

CIO Business Intelligence

JUNE 12, 2023

In 2012, COBIT 5 was released and in 2013, the ISACA released an add-on to COBIT 5, which included more information for businesses regarding risk management and information governance. COBIT 2019 Framework: Governance and management objectives: A companion guide that dives into the COBIT Core Model and 40 governance and management objectives.

Risk Management 94

Risk Management Strategy Digital Transformation Enterprise 94

CIO Business Intelligence

MARCH 13, 2023

It may surprise some that the platform has seen shipment increases since 2013, Rutten adds. They know that they need the mainframe, modernize on the platform, integrate it with the rest of their data center, run it as a hybrid cloud, and take advantage of the new consumption-based pricing models for the platform,” he says.

Digital Transformation 98

Digital Transformation Strategy Interactive Management 98

IBM Big Data Hub

OCTOBER 16, 2023

Containers have increased in popularity and adoption ever since the release of Docker in 2013, an open-source platform for building, deploying and managing containerized applications. Gartner predicts that 90% of global enterprises will use containerized applications and one in five apps will run in containers by 2026, as CIO reported.

Data Processing 83

Data Processing Dashboards Metrics Software 83

Smart Data Collective

JANUARY 26, 2021

Sometimes big data models can look at which keywords and topics are trending on social media and, as translation company Tomedes points out, that can involve multiple languages. Even by 2013, 90% of the data in the world had been generated within the previous two years. It’s overwhelming just how fast our data is growing.

Data Architecture 121

Data Architecture Big Data Data Strategy Data-driven 121

Domino Data Lab

DECEMBER 1, 2019

This article covers how to detect data drift for models that ingest image data as their input in order to prevent their silent degradation in production. Introduction: preventing silent model degradation in production. This article explores an approach that can be used to detect data drift for models that classify/score image data.

Modeling 77

Modeling Machine Learning Deep Learning Testing 77

CIO Business Intelligence

JUNE 28, 2023

In a recent article , Rajeev Ronanki, CEO of Lyric and author of bestseller You and AI , attributes the failure of a 2013 joint venture between MD Anderson and IBM Watson Health to the wrong mindset. According to Ronanki, they aspired to replace human doctors with machines in diagnosing cancer.

Enterprise 52

Enterprise Experimentation Risk Data-driven 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

CIO Business Intelligence

SEPTEMBER 15, 2022

Among other accolades, he was named Consumer Goods Technology’s 2013 CIO of the Year and was the 2021 recipient of the Bay Area CIO of the Year ORBIE award for Leadership. Along the way, Loura has been recognized time and again as an inspiring, transformational CIO whose innovative approaches create real business value.

Uncertainty 105

Uncertainty Marketing Modeling Technology 105

Ontotext

JULY 8, 2020

In the past decade, the most notorious incident was probably the Yahoo data breach of 2013 in which all three billion user accounts were hacked and compromised. According to their study, a total of 79% of business leaders report that new business models introduce technology vulnerabilities faster than they can be secured.

Unstructured Data 52

Unstructured Data Enterprise Reporting Modeling 52

CIO Business Intelligence

JUNE 22, 2022

Carbon Neutrality 2050, and the Bio-Circular-Green Economic Model. In addition, since Huawei’s global flagship CSR project Seeds for the Future first started in Thailand in 2013, Huawei Thailand has already partnered with 23 local universities to facilitate knowledge transfer and skill improvement for over 215 leading students.

Digital Transformation 98

Digital Transformation Uncertainty Data-driven Manufacturing 98

Sisense

JUNE 8, 2020

As a result, many organizations are able to join external data to their own data in real time to forecast business impacts, predict supply and demand , apply models, and aggregate to predict the spread of the virus. This builds reusable artifacts that power ad hoc analysis, and also serves that data into reporting to send to teams and models.

Data Warehouse 89

Data Warehouse Data-driven Dashboards Sales 89

Ontotext

DECEMBER 2, 2021

In 2013, actually, with SPARQL 1.1. Ontotext Platform allows you to define a simple model of your data – or to generate it from your pre-existent ontology. This model would contain a number of objects such as Report, Drone, Inspection, Building, etc. SPARQL federation. That does not mean that it cannot visualize data.

Visualization 98

Visualization Interactive Dashboards Enterprise 98

CIO Business Intelligence

MAY 18, 2023

By defining team types, their fundamental interactions, and the science behind them, you learn how to better model your organizations according to these definitions. “It gives the fundamental patterns for achieving fast flow,” he says. “By The CEO demands that Bill deliver the project in 90 days.

IT 130

IT Software Recreation/Entertainment Technology 130

bridgei2i

JULY 28, 2020

It is my immense pleasure to introduce you all to our guest today Ria Persad, she’s named as international woman of the year by Renewable Energy World in power engineering in 2013 and the lifetime achievement leader by Platts Global Energy awards in 2014. We need people who can test.

Enterprise 98

Enterprise Digital Transformation Insurance B2B 98

DMBS2

MAY 20, 2018

Multiple kinds of data model are viable … … but it’s usually helpful to be able to do some kind of JOIN. The ongoing rise of “edge computing” and the “Internet of Things” fit into the general trend that in 2013 I summarized as appliances, clusters and clouds.

Internet of Things 50

Internet of Things Predictive Analytics Metrics Enterprise 50

BizAcuity

DECEMBER 31, 2019

We can also take the long view: In 2013, he turned 42 and led the Devils in scoring; two seasons later, at 44, he led the Panthers in scoring and was a main factor in their first-place Atlantic Division finish.

Reporting 52

Reporting Testing Modeling IT 52

Sisense

APRIL 2, 2019

This is when IT operations and software development communities started to talk about problems in the software industry, specifically around the traditional software development model. 25th, 2013, New Relic News and Products. You should be improving the quality of your application with each release. And it’s not just about the product.

Software 80

Software Testing Enterprise IT 80

Howard Dresner

NOVEMBER 6, 2013

At one of our recent Friday #BIWisdom tweetchats, we talked about the findings in our 2013 Wisdom of Crowds® Collaborative Business Intelligence Market Study, which led to an insightful conversation about why some organizations haven’t adopted collaborative BI technologies and why some adopted it but failed to achieve the anticipated value.

Technology 40

Technology Business Intelligence ROI Strategy 40

Howard Dresner

AUGUST 15, 2013

August 15, 2013 Do you remember when you thought it was too risky to purchase something online? In fact, one of the significant nuggets in our recent 2013 Wisdom of Crowds® Cloud Business Intelligence Market Study is that organizations targeting external users (customers and suppliers) are the biggest users of cloud BI.

Business Intelligence 40

Business Intelligence Cost-Benefit Marketing Data Processing 40

Domino Data Lab

JANUARY 6, 2019

I’ve been teaching data science since 2008 privately for employers – exec staff, investors, IT teams, and the data teams I’ve led – and since 2013, for industry professionals in general. Also, clearly there’s no “one size fits all” educational model for data science. The Berkeley model addresses large university needs in the US.

Data Science 56

Data Science Machine Learning Reporting Visualization 56

Timo Elliott

JANUARY 10, 2022

Most people rent skis rather than buying, because it’s easier and cheaper and more convenient — so why not apply that model to more things? I also loved the episode The Race to Zero: Regenerative Business Models for a Sustainable Future. The logic of the argument was very convincing. with the CTO of SAP Fieldglass.

Data Processing 121

Data Processing Manufacturing Machine Learning Technology 121

Anmut

MARCH 2, 2020

Construction and mining firms such as Caterpillar are also innovating their business models. Data plays a fundamental role in enabling this business model. As the graphic below shows, the shift in company valuations – even between 2013 and 2019 – is striking.

Insurance 52

Insurance Risk Management Risk Cost-Benefit 52

Hurwitz & Associates

OCTOBER 29, 2018

The company’s most notable move was the $2 billion dollar acquisition of the IaaS vendor SoftLayer in 2013. Now the two deployment models: on premises and on the public cloud consistent software architectures that enable portability and integration. Red Hat has a sophisticated community model that will be useful to IBM.

Software 40

Software Marketing Strategy Management 40

Occam's Razor

JANUARY 2, 2013

It will be the same in 2013. Even if you never get into the mess of attribution modeling and all that other craziness, you are much smarter by just analyzing the data, and implications, from at this report. After that if you can't resist the itch, go play with the, now free to everyone, Attribution Modeling Tool in GA.

Strategy 159

Strategy Analytics Reporting Metrics 159

Howard Dresner

AUGUST 27, 2013

But one of the tribe tweeted that, at a minimum, the NSA storm will draw more attention to the organizational risks inherent in BYOD models. Our 2013 Wisdom of Crowds® study also found that many small organizations are embracing mobile BI and cloud BI as a means of side-stepping traditional computing.

Business Intelligence 60

Business Intelligence Finance Risk Data Processing 60

Occam's Razor

OCTOBER 14, 2014

See step four in the process for creating your Digital Marketing and Measurement Model.]. This recommendation also valuable for companies that have very unique business models, or face other unusual circumstances (geographic, size, amount of innovation, and many others). See Page 269. :). So how can you use your own data?

Key Performance Indicator 133

Key Performance Indicator Metrics Reporting Marketing 133