Smart Data Collective

APRIL 13, 2021

Based on figures from Statista , the volume of data breaches increased from 2005 to 2008, then dropped in 2009 and rose again in 2010 until it dropped again in 2011. They can use AI and data-driven cybersecurity technology to address these risks. The instances of data breaches in the United States are rather interesting. In summary.

Testing 122

Testing Behavioral Analytics Data-driven Big Data 122

Jen Stirrup

FEBRUARY 1, 2023

Automation and the history of the 'blame game' Technology is often touted as the solution to automating and correcting errors in human behaviour, reducing risk. The Hatfield tragedy led to changes in corporate manslaughter law, ensuring that organisations and individuals were held accountable (Bain and Barker, 2010; Whittingham, R.,

Recreation/Entertainment 62

Recreation/Entertainment Testing Advertising Insurance 62

CIO Business Intelligence

DECEMBER 26, 2023

As a result, the agency spent $15 million over the past three years on software it may not be using, but didn’t want to risk a software audit from Oracle that might end in a fine that’s even more costly. Business Continuity, Disaster Recovery, Generative AI, IT Strategy

IT 138

IT Software Reporting Testing 138

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 Enterprise Repository Era” (1990–2010) – first generation DG solutions. More Policies Emerged” (2010-2018). Andrew Ng later described this strategy as the “Virtuous Cycle of AI” – a.k.a. a second priority?at

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

CIO Business Intelligence

FEBRUARY 26, 2024

This article was co-written by Chris Davis, Partner, Metis Strategy , and Kelley Dougherty, Associate, Metis Strategy To succeed as a large, global company, there is no choice but to harness the power of technology talent around the world.

Cost-Benefit 98

Cost-Benefit Measurement Modeling Strategy 98

CIO Business Intelligence

JUNE 13, 2023

As chief digital officer of Kotak Mahindra Bank, Deepak Sharma has been instrumental in driving the bank’s digital transformation, future-ready initiatives, and business model innovation strategies. As I was setting up the NRI banking and remittance platform in 2010, I started getting involved with technology.

IT 105

IT Digital Transformation Uncertainty Risk Management 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. There is a tradeoff between the trust and risk. Source: [link].

Risk 306

Risk Software Interactive Modeling 306

O'Reilly on Data

SEPTEMBER 19, 2023

” There’s as much Keras, TensorFlow, and Torch today as there was Hadoop back in 2010-2012. “Here’s our risk model. Isn’t it nice to uncover that in a simulated environment, where we can map out our risk mitigation strategies with calm, level heads?

Machine Learning 249

Machine Learning Testing Modeling Cost-Benefit 249

Octopai

JUNE 16, 2021

Do you ever feel like taking risks? . If you’re a bank, however, taking risks doesn’t just have implications for you, but for all your customers and (if you’re big enough) for the economy as a whole. . Basel III was drafted in 2010, with finalization and implementation set to take place over the next several years. Market risk.

Management 52

Management Risk Management Risk Visualization 52

O'Reilly on Data

MARCH 20, 2019

Like many others, I’ve known for some time that machine learning models themselves could pose security risks. An attacker could use an adversarial example attack to grant themselves a large loan or a low insurance premium or to avoid denial of parole based on a high criminal risk score. 2010): 121-148. Barreno, Marco, et al.

Modeling 222

Modeling Machine Learning Predictive Modeling Consulting 222

The Unofficial Google Data Science Blog

JULY 22, 2020

by ALEXANDER WAKIM Ramp-up and multi-armed bandits (MAB) are common strategies in online controlled experiments (OCE). These strategies involve changing assignment weights during an experiment. The first is a strategy called ramp-up and is advised by many experts in the field [1].

Experimentation 95

Experimentation Statistics Testing Strategy 95

The Unofficial Google Data Science Blog

AUGUST 27, 2019

There are many strategies we can use to estimate this quantity, and we will discuss each option in detail. When training a classifier with few positives in the population, one common strategy is to over sample items with positive labels, and/or down sample items with negative labels. High Risk 10% 5% 33.3% Statistical Science.

Metrics 98

Metrics Statistics Uncertainty Optimization 98

Occam's Razor

AUGUST 28, 2017

Why the scale at which we can (/have to) solve the problems is already well beyond the grasp of the fundamental strategy most companies follow: We have a bigger revenue opportunity, but we don’t know how to take advantage? Some new techniques – machines, analytical strategies – might be accessible to the resident. An example I love.

Deep Learning 139

Deep Learning Machine Learning Marketing Strategy 139

Occam's Razor

MARCH 23, 2010

For big success you'll need to have a Multiplicity strategy: So when you step back and realize at the minimum you'll also have to use one Voice of Customer tool (for qualitative analysis), one Experimentation tool and (if you want to be great) one Competitive Intelligence tool… do you still want to have two clickstream tools?

Analytics 118

Analytics Consulting Metrics Experimentation 118

Alation

APRIL 12, 2022

Between 2010 and 2018 the number of CDOs present in Fortune 1500 companies increased nearly 8-fold. Today, the modern CDO drives the data strategy for the entire organization. The CDO’s Role in Driving a Data Strategy. A comprehensive data strategy must balance two core impulses: making data useful and keeping it safe.

Data Quality 52

Data Quality Data Governance Metrics Data Strategy 52

The Unofficial Google Data Science Blog

OCTOBER 12, 2017

Of course, exploratory analysis of big unintentional data puts us squarely at risk for these types of mistakes. Controlling the Type I error necessarily comes at the expense of increasing the risk of a Type II error. We have previously discussed the risk of confounding factors obscuring important real effects. Consistency.

Experimentation 61

Experimentation Testing Statistics Metrics 61

O'Reilly on Data

JANUARY 25, 2021

Observability” risks becoming the new name for monitoring. It’s tempting to think of Flask and Vue as “new” platforms, but they were released in 2010 and 2014, respectively; they’ve had time to establish themselves. It’s often a chaotic grassroots process rather than a carefully planned strategy. And that’s unfortunate.

Machine Learning 363

Machine Learning Software Testing Technology 363

CIO Business Intelligence

APRIL 12, 2022

Even though Nvidia’s $40 billion bid to shake up enterprise computing by acquiring chip designer ARM has fallen apart, the merger and acquisition (M&A) boom of 2021 looks set to continue in 2022, perhaps matching the peaks of 2015, according to a report from risk management advisor Willis Towers Watson.

Enterprise 143

Enterprise Technology Consulting Software 143