CDW Research Hub

MARCH 19, 2020

As witnessed with the Ebola outbreak in 2014 and other events that have impacted patient health on a large scale, we anticipate these mobile clinics will result in healthcare organizations’ reconsideration of strategy as it relates to IT resource reallocation, as well as the shifting of capital and operational funding.

IT 52

IT Testing Risk Strategy 52

Smart Data Collective

FEBRUARY 19, 2020

They need to adapt their borrowing strategy to the new big data algorithms to improve their changes of securing a loan. This has proven important too, with the value of loans provided by big banks having declined by 3% overall between 2014 and 2019. They didn’t discuss the risks of big data in small business lending in enough detail.

Big Data 100

Big Data Data mining Risk Data-driven 100

CIO Business Intelligence

MAY 16, 2022

ITIL’s systematic approach to IT service management (ITSM) can help businesses manage risk, strengthen customer relations, establish cost-effective practices, and build a stable IT environment that allows for growth, scale, and change. This path focuses on how technology directs business strategy and how IT plays into that.

IT 105

IT Cost-Benefit ROI Risk 105

Smart Data Collective

APRIL 13, 2021

By 2012, there was a marginal increase, then the numbers rose steeply in 2014. They can use AI and data-driven cybersecurity technology to address these risks. Data security risks are abundant, and they are very unlikely to be reduced to irrelevance, let alone become fully extinguished. Breach and attack simulation. In summary.

Testing 124

Testing Behavioral Analytics Data-driven Big Data 124

IBM Big Data Hub

AUGUST 7, 2023

Tackling complexities in clinical trial site selection: A playground for a new technology and AI operating model Enrollment strategists and site performance analysts are responsible for constructing and prioritizing robust end-to-end enrollment strategies tailored to specific trials. To do so they require data, which is in no shortage.

Optimization 61

Optimization Forecasting Data-driven Strategy 61

CDW Research Hub

DECEMBER 1, 2020

This marks Sirius’ ninth acquisition since 2014, including Brightlight Consulting, Avnet, Inc.’s Our mission of helping our clients reduce costs, increase productivity and mitigate risk will continue within the Sirius brand.”. The acquisition—which closed on November 30—helps Sirius extend its reach in the Southeast region of the U.S.

Consulting 62

Consulting Risk Optimization Management 62

CDW Research Hub

MAY 20, 2019

Sirius continues to raise the bar as we pursue our quest to help our mutual customers increase their data efficiency, lower CAPEX/OPEX, and reduce their IT risk.”. In addition to this year’s award, Sirius has also been named Outstanding Momentum Partner of the Year (2014, 2015); Outstanding Innovation Partner of the Year (2016); and U.S.

Sales 45

Sales Risk Optimization Strategy 45

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. Not just that. Then, if the computer system goes down, then what do we do?

Enterprise 98

Enterprise Digital Transformation Insurance B2B 98

Smart Data Collective

JULY 23, 2019

Risk management , e.g. understanding of acceptable and too dangerous risks. For instance, magik_moose from Reddit states that pros must follow a few rules, including proper risk management, clear targets, independent analysis, and control over emotions. Gox in 2014. Major Drawbacks of Pro Crypto Trading.

Recreation/Entertainment 76

Recreation/Entertainment Risk Management Marketing Risk 76

O'Reilly on Data

JANUARY 25, 2021

in 2008 and continuing with Java 8 in 2014, programming languages have added higher-order functions (lambdas) and other “functional” features. Observability” risks becoming the new name for monitoring. It’s often a chaotic grassroots process rather than a carefully planned strategy. Starting with Python 3.0 The result?

Machine Learning 363

Machine Learning Software Testing Technology 363

The Unofficial Google Data Science Blog

APRIL 23, 2024

It is also a sound strategy when experimenting with several parameters at the same time. To find optimal values of two parameters experimentally, the obvious strategy would be to experiment with and update them in separate, sequential stages. (And sometimes even if it is not[1].) Why experiment with several parameters concurrently?

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

Andrew White

MARCH 22, 2019

I have blogged before (see this from 2014: A Day in the Life of an Analyst” at Gartner’s IT/Expo Symposium – Day 3 ) about the hot topics I discussed with attendees at our Symposia and data and analytics conferences. Strategy is Learning By Doing. Another way to say this is modern architecture is lean architecture.

Analytics 68

Analytics Metadata Data Governance Management 68

Domino Data Lab

APRIL 3, 2019

Also, while surveying the literature two key drivers stood out: Risk management is the thin-edge-of-the-wedge ?for Given those two, plus SQL gaining eminence as a database strategy, a decidedly relational picture coalesced throughout the decade. Andrew Ng later described this strategy as the “Virtuous Cycle of AI” – a.k.a.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

datapine

MAY 2, 2019

As mentioned, asking the right questions will form the foundations of choosing the right types of visualization charts for your project, strategy, or business goals. In our example above, we are showing Sales by Payment Method for all of 2014. Download our list of different data visualization types you should know. Distribution.

Visualization 173

Visualization Dashboards Sales KPI 173

The Unofficial Google Data Science Blog

APRIL 17, 2017

Such a model risks conflating important aspects, notably the growth trend, with other less critical aspects. In other words, there is an asymmetry of risk-reward when there exists the possibility of misspecifying the weights in $X_C$. This imbues the forecasting routine with two attractive properties.

Forecasting 83

Forecasting Modeling Statistics Uncertainty 83

Insight

DECEMBER 30, 2019

LeNet-5: A classic CNN architecture Since LeNet-5, there have been many different CNN architectures developed over the years, such as AlexNet (2012), GoogLeNet (2014), VGGNet (2014), and ResNet (2015). As we will see, this fundamental shift in methodology led to a new generation of computer vision models with unprecedented ability.

Visualization 72

Visualization Modeling Machine Learning IT 72

The Unofficial Google Data Science Blog

JUNE 30, 2016

Choose the weights $alpha$ that minimize the cross-validated risk: $hatalpha =argmin_{alpha} frac{1}{J}sum_{j=1}^Jfrac{1}{|mathcal V_j|}sum_{iin mathcal V_j} L(M_i, hat e_{alpha, mathcal T_j})$ subject to $quad 0 leq alpha_kleq 1, sum_{k=1}^Kalpha_k=1,$ and define the final estimator as $hat e_{hatalpha}(x)$. 2014): 243-263.

Statistics 44

Statistics Optimization Modeling Experimentation 44

Smart Data Collective

FEBRUARY 6, 2022

The Poland-based exchange has been around since 2014 and they have grown to become an authority in the cryptocurrency industry. This will reduce the risk of losing all your money in case one trade goes wrong and keep you from giving up on cryptocurrency trading before you make any real profits. Step 4: Choose a Strategy.

Cost-Benefit 91

Cost-Benefit Marketing Finance Strategy 91

Domino Data Lab

JULY 9, 2019

You can sleep at night as a data scientician and you know you’re not building a random number generator, but the people from product, they don’t want to know just that you can predict who’s going to be at risk. There’s some strategy to be thought about in terms of how we push these things out on social channels.

Data Science 112

Data Science Machine Learning Advertising Modeling 112

Domino Data Lab

JANUARY 6, 2019

What are the projected risks for companies that fall behind for internal training in data science? Skills continuing to grow in prominence by 2022 include analytical thinking and innovation as well as active learning and learning strategies. In business terms, why does this matter ?

Data Science 56

Data Science Machine Learning Reporting Visualization 56

Sisense

FEBRUARY 24, 2021

To help provide guidance for what role a chief data officer should play at a particular organization, Yang Lee and a research team introduced their cubic framework for the chief data officer in their seminal 2014 paper for MIS Quarterly Executive. Value impact dimension: Service vs. strategy.

Data Warehouse 69

Data Warehouse Big Data Metrics Visualization 69

Jet Global

JULY 29, 2020

Oracle’s 2014 Statement of Direction laid out its support strategy. There is a significant risk with unsupported products. Fear of the unknown has left many companies afraid to implement a new reporting tool, yet the risk of staying with Discoverer is becoming increasingly high. View Solutions Now.

Reporting 98

Reporting Cost-Benefit Consulting Finance 98

datapine

FEBRUARY 23, 2023

Charts And Graphs Categories As mentioned, asking the right questions will form the foundations for choosing the right types of visualization graphs for your project, strategy, or business goals. Let’s dive into them. This is when you are comparing data to itself rather than seeing a total – often in the form of percentages.

Visualization 177

Visualization Dashboards Sales Measurement 177