Smart Data Collective

JUNE 24, 2023

Fortunately, new advances in machine learning technology can help mitigate many of these risks. Machine learning technology can do wonders to help reduce the risk of cryptocurrency thefts Over the past few years, we have seen a growing number of hackers weaponize artificial intelligence.

Machine Learning 77

Machine Learning Broadcasting Risk Data mining 77

Smart Data Collective

SEPTEMBER 22, 2021

Data breaches have become much more common in recent years. One estimate shows that over 37 billion data records were exposed last year. The risk of data breaches will not decrease in 2021. Every business out there is now forced to become an internet business, which makes them more dependent on data.

Statistics 106

Statistics Risk Measurement Software 106

IBM Big Data Hub

FEBRUARY 16, 2022

Do you remember when you first began to think about data? Long before we learn about the concept, from the moment we are born, we are absorbing, consuming, sorting and organizing data. Nowadays, not all enterprises use data in a strategic way. The Chief Data Officer (CDO) role is relatively new to the c-suite.

Strategy 69

Strategy Data Strategy Risk Enterprise 69

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. The ISACA announced an updated version of COBIT in 2018, ditching the version number and naming it COBIT 2019.

Risk Management 69

Risk Management Strategy Digital Transformation Enterprise 69

IBM Big Data Hub

FEBRUARY 9, 2024

But the most impactful developments may be those focused on governance, middleware, training techniques and data pipelines that make generative AI more trustworthy , sustainable and accessible, for enterprises and end users alike. iii] “AI models haven’t had that kind of data before.

Cost-Benefit 97

Cost-Benefit Modeling Data-driven Enterprise 97

AWS Big Data

DECEMBER 8, 2023

In this post, we share how FanDuel moved from a DC2 nodes architecture to a modern Amazon Redshift architecture, which includes Redshift provisioned clusters using RA3 instances , Amazon Redshift data sharing , and Amazon Redshift Serverless. Their individual, product-specific, and often on-premises data warehouses soon became obsolete.

Data Warehouse 69

Data Warehouse Cost-Benefit KPI Risk 69

Smart Data Collective

MAY 17, 2021

Big data is at the heart of the digital revolution. Basing fleet management operations on data is not new, and in some ways, it’s always been a part of the industry. Basing fleet management operations on data is not new, and in some ways, it’s always been a part of the industry. billion in 2018.

Big Data 100

Big Data Cost-Benefit IoT Machine Learning 100

Smart Data Collective

SEPTEMBER 11, 2020

Networking technologies have been in existence for many decades with a singular purpose – the improvement of data transmission and circulation through the use of information systems. IoT is the technology that enhances communication by connecting network devices and collecting data. AI has made it even more viable than ever.

Technology 97

Technology IoT Internet of Things Cost-Benefit 97

The Unofficial Google Data Science Blog

APRIL 23, 2024

the weight given to Likes in our video recommendation algorithm) while $Y$ is a vector of outcome measures such as different metrics of user experience (e.g., Experiments, Parameters and Models At Youtube, the relationships between system parameters and metrics often seem simple — straight-line models sometimes fit our data well.

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

O'Reilly on Data

MAY 11, 2020

YouTube’s algorithm was measuring what kept viewers there the longest, not what they wanted to see, and feeding them more of the same. And anger and polarization are bankable commodities that drive the feedback loop in an engagement-driven world. If you’re a Democrat, Trump videos made you mad. READING LIST.

Modeling 188

Modeling Advertising Recreation/Entertainment Metrics 188

IBM Big Data Hub

OCTOBER 16, 2023

As the world continues to become a globally connected ecosystem, data fluidity has sparked national and international conversations around notions of data and digital sovereignty. First, we must understand how data sovereignty came to be. What is data sovereignty?

Cost-Benefit 67

Cost-Benefit Data Governance Risk Data-driven 67

Smart Data Collective

JULY 1, 2021

AI technology helps in the right, so all companies should use AI-driven cybersecurity measures to protect against it. At its most basic level, ransomware is simply a type of malware that encrypts your files and data. Essentially, they’re holding your data for ransom, hence the name of this particular threat.

Technology 82

Technology Machine Learning Statistics Data-driven 82

Data Insight

APRIL 15, 2019

“ It’s no coincidence that Google, Amazon and some of the most valuable companies in the world today were built not on product but on data from the outset.” We are now living in a world that is increasingly driven by data thanks to the emergence of digital and cloud-based technologies and the proliferation of social mobility.

Data-driven 40

Data-driven Metrics Measurement Strategy 40

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. M&A volume climbed from $3.26

Technology 142

Technology Enterprise Consulting Software 142

The Unofficial Google Data Science Blog

DECEMBER 4, 2019

by THOMAS OLAVSON Thomas leads a team at Google called "Operations Data Science" that helps Google scale its infrastructure capacity optimally. But looking through the blogosphere, some go further and posit that “platformization” of forecasting and “forecasting as a service” can turn anyone into a data scientist at the push of a button.

Forecasting 113

Forecasting Data Science Statistics Uncertainty 113

Domino Data Lab

MAY 8, 2019

For example, common practices for collecting data to build training datasets tend to throw away valuable information along the way. The lens of reductionism and an overemphasis on engineering becomes an Achilles heel for data science work. 2018-06-21). ML model interpretability and data visualization.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

Domino Data Lab

FEBRUARY 4, 2019

In Paco Nathan ‘s latest column, he explores the role of curiosity in data science work as well as Rev 2 , an upcoming summit for data science leaders. Welcome back to our monthly series about data science. and dig into details about where science meets rhetoric in data science. Introduction. This is not that.

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66

Cloudera

AUGUST 6, 2018

In recent years, we have heard a great deal about how new and sophisticated understanding of how to interpret the onslaught of data produced in the modern age could help us turn the corner on major social and environmental problems. While we have been using data to improve philanthropy for years, a great deal has changed very quickly.

Machine Learning 50

Machine Learning Internet of Things Cost-Benefit Data-driven 50

Andrew White

APRIL 22, 2020

Emergency measures are undertaken with little planning. In this second phase executive leaders will need to make critical business decisions with even less data and with more uncertainty. AI and machine learning will help, along with other data and analytics capabilities. Data, analytics and AI. Things stop working.

Software 52

Software Uncertainty Measurement Marketing 52

Peter James Thomas

AUGUST 12, 2018

These normally appear at the end of an article, but it seemed to make sense to start with them in this case: Recently I published Building Momentum – How to begin becoming a Data-driven Organisation. A number of factors can play into the accuracy of data capture. Honesty of Data that is captured. Timing issues with Data.

Metrics 49

Metrics Statistics Data Quality Measurement 49

Domino Data Lab

AUGUST 8, 2019

Paco Nathan ‘s latest monthly article covers Sci Foo as well as why data science leaders should rethink hiring and training priorities for their data science teams. In this episode I’ll cover themes from Sci Foo and important takeaways that data science teams should be tracking. Introduction. Ever heard of it before?

Data Science 71

Data Science Machine Learning Data Governance Statistics 71

Depict Data Studio

SEPTEMBER 17, 2019

In my sixth year of self-employment, the demand for data visualization skills is stronger than ever. Are you ready to take your organization’s data communications skills to the next level? This training program is about classic data visualization principles? Course 1: Data Visualization Design Principles . We’ll go broad?

Visualization 40

Visualization Consulting Dashboards Reporting 40