CIO Business Intelligence

JULY 25, 2022

As businesses were forced to adapt new styles of working and adapt technologies, they struggled to meet security compliance standards like the General Data Protection Regulation (GDPR) and lagged in responding to data breaches. million per incident on average – the highest cost in the 17-year history of the report.

Cost-Benefit 92

Cost-Benefit Enterprise Reporting Risk 92

Alation

JANUARY 26, 2023

This has spawned new legislation controlling how data can be collected, stored, and utilized, such as the GDPR or CCPA. Governance can — and should — be the responsibility of every data user, though how that’s achieved will depend on the role within the organization. Indeed, one of the biggest aggravators of data issues is inaction.

Data Governance 52

Data Governance Strategy Data Quality Marketing 52

Smart Data Collective

MARCH 23, 2020

Forbes recently wrote an article about the impact of big data on the food and hospitality industry. Information about our online activity has been accumulating for years, and now is actively used to know more about us. Most businesses prefer to rely on the insights gained from the big data analysis. billion in big data.

Big Data 103

Big Data Recreation/Entertainment Data mining Optimization 103

IBM Big Data Hub

SEPTEMBER 7, 2022

We started the Summer School for Data Leaders five years ago to create a community for data experts to share ideas and relate to people facing similar challenges. In reflecting on our conversations from this year’s program, here are five key takeaways: 1. In the last year we’ve spent a lot more time talking about data ethics.

Data Strategy 52

Data Strategy Strategy Data-driven Data Quality 52

Smart Data Collective

MAY 20, 2019

In fact, there’s no escaping the increasing reliance on such technologies. There are many reasons why data is being generated so quickly — doubling in size every two years. The birth of IoT and connected devices is just one source, while the need for more reliable real-time data is another. Specialization of Job Roles.

Analytics 111

Analytics Machine Learning Business Intelligence Big Data 111

Dataiku

MAY 25, 2019

Today is GDPR's first birthday, so it's a great opportunity to look at how organizations have adapted in the last year.

IT 91

IT 91

Octopai

APRIL 18, 2022

They were set in stone (basalt or diorite, to be exact ) by the Babylonian King Hammurabi around the year 1750 BCE. The notion of a worldwide recession brought on by bad financial practices and dirty data in the banking and insurance industries wasn’t on the radar. . V, IV, III, II, I… Regulate!

Insurance 52

Insurance Risk Cost-Benefit Reporting 52

Alation

SEPTEMBER 9, 2021

Of course, bank leaders’ number one priority is their customers. After all, they have regulators coming into their offices on a regular basis, checking off boxes and monitoring their activities. After all, they have regulators coming into their offices on a regular basis, checking off boxes and monitoring their activities.

Data Governance 52

Data Governance Data Strategy Strategy Risk 52

Domino Data Lab

APRIL 3, 2019

This month’s article features updates from one of the early data conferences of the year, Strata Data Conference – which was held just last week in San Francisco. Let’s take a look at the results for one survey question in particular, “Which solutions is your organization currently building or evaluating?”. Introduction.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

Alation

APRIL 25, 2023

That depends on who you serve, where you operate, and what types of data you’re trying to manage. It’d be difficult to exaggerate the importance of data in today’s global marketplace, especially for firms which are going through digital transformation (DT). Using bad data, or the incorrect data can generate devastating results.

Data Governance 52

Data Governance Marketing Machine Learning Sales 52

O'Reilly on Data

FEBRUARY 18, 2020

Current signals from usage on the O’Reilly online learning platform reveal: Python is preeminent. It’s the single most popular programming language on O’Reilly, and it accounts for 10% of all usage. Up until 2017, the ML+AI topic had been amongst the fastest growing topics on the platform. Coincidence? Security is surging.

Data-driven 335

Data-driven Software Statistics Marketing 335

Domino Data Lab

JULY 22, 2019

At Rev’s “ Data Science, Past & Future” , Paco Nathan covered contextual insight into some common impactful themes over the decades that also provided a “lens” help data scientists, researchers, and leaders consider the future. There’s a kind of tone that Rev really struck this year. Transcript.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

AWS Big Data

JULY 28, 2023

The GDPR (General Data Protection Regulation) right to be forgotten, also known as the right to erasure, gives individuals the right to request the deletion of their personally identifiable information (PII) data held by organizations. Who does GDPR apply to?

Snapshot 81

Snapshot Metadata Measurement Data Warehouse 81

Alation

APRIL 25, 2023

That depends on who you serve, where you operate, and what types of data you’re trying to manage. It’d be difficult to exaggerate the importance of data in today’s global marketplace, especially for firms which are going through digital transformation (DT). Using bad data, or the incorrect data can generate devastating results.

Data Governance 40

Data Governance Marketing Machine Learning Sales 40

O'Reilly on Data

JULY 20, 2021

If we don’t create these devices with communities of people in mind, we will continue to build the wrong ones. This expectation isn’t a new one either. Communal devices are intended to be used by groups of people in homes and offices. Someone buys the device and sets up the account; it’s their device, their account.

Risk 302

Risk Software Interactive Modeling 302

O'Reilly on Data

JULY 15, 2019

In this post, we'll address this question through the lens of one highly regulated industry: financial services. In our experience, many of the most popular conference talks on model explainability and interpretability are those given by speakers from finance. Note that the emphasis of SR 11-7 is on risk management.).

Machine Learning 37

Machine Learning Management Enterprise Risk Management 37

Octopai

OCTOBER 11, 2021

On a scale of 1 to 10, rate the difficulty of the following tasks: Searching for a needle in a haystack Finding an earring that fell off in the Mall of America Tracking down every appearance of a given customer’s birthdate amongst 100K+ data assets across your entire BI landscape. Finding data for regulatory compliance like GDPR.

Metadata 90

Metadata Data Collection Optimization IT 90

CIO Business Intelligence

MARCH 25, 2022

Indeed, financial institutions were disproportionately affected by ransomware in 2021, and the early indications for the New Year point to more of the same for 2022. . Indeed, financial institutions were disproportionately affected by ransomware in 2021, and the early indications for the New Year point to more of the same for 2022. .

Finance 81

Finance KPI Risk IoT 81

Smart Data Collective

MARCH 8, 2023

Last year, there were 1,802 data breaches that affected over 420 million Americans. The restaurant industry has been surprisingly affected by data breaches in recent years. Earlier this week, Chick-fil-A announced that many customers were affected after hackers gained access to their data.

Cost-Benefit 84

Cost-Benefit Machine Learning Dashboards Strategy 84

Cloudera

AUGUST 31, 2020

Service Management Group ( SMG ) offers an easy-to-use experience management (XM) platform that combines end-to-end customer and employee experience management software with hands-on professional services to deliver actionable insights and help brands get smarter about their customers. The case for a new Data Warehouse? The Offload Journey .

Slice and Dice 62

Slice and Dice Management Data Warehouse Analytics 62

DataRobot

DECEMBER 6, 2021

AI Impact Statements are rapidly becoming the tool of choice for thinking about whether an AI-driven solution will deliver business value, operate safely and ethically, and align with stakeholder needs. After all, every use case is different and every organization and stakeholder has unique needs and values. Around the World.

Data-driven 52

Data-driven Risk Publishing Modeling 52

IBM Big Data Hub

OCTOBER 20, 2023

” When observing its potential impact within industry, McKinsey Global Institute estimates that in just the manufacturing sector, emerging technologies that use AI will by 2025 add as much as USD 3.7 AI plays a pivotal role as a catalyst in the new era of technological advancement. ” Of this, PwC estimates that “USD 6.6

Machine Learning 77

Machine Learning Manufacturing Cost-Benefit Deep Learning 77

CIO Business Intelligence

JUNE 21, 2022

1 concern in the next three years is cybersecurity. 1 concern in the next three years is cybersecurity. It’s no wonder why the World Economic Forum named cybersecurity as one of their top five priorities over the past couple of years. Storage can no longer be an afterthought for CIOs. Top priority.

Strategy 128

Strategy Snapshot Enterprise Reporting 128

AWS Big Data

JULY 20, 2023

One key component that plays a central role in modern data architectures is the data lake, which allows organizations to store and analyze large amounts of data in a cost-effective manner and run advanced analytics and machine learning (ML) at scale. This post is co-written with Eliad Gat and Oded Lifshiz from Orca Security.

Data Lake 86

Data Lake Analytics Snapshot Optimization 86

Domino Data Lab

MARCH 3, 2019

Paco Nathan covers recent research on data infrastructure as well as adoption of machine learning and AI in the enterprise. After a data science conference, our marketing group wanted to follow-up by surveying 300 attendees from industry. Introduction. Welcome back to our monthly series about data science!

Data Science 49

Data Science Deep Learning Machine Learning Modeling 49

Domino Data Lab

AUGUST 1, 2021

the need for explainable AI is mainly motivated by the following three reasons: The need for trust – if a doctor is recommending a treatment protocol based on a prediction from a neural network, this doctor must have absolute trust in the network’s capability. According to Fox et al., According to Fox et al.,

Modeling 139

Modeling Deep Learning Machine Learning Knowledge Discovery 139

CIO Business Intelligence

JUNE 21, 2023

Existing generative AI platforms like OpenAI’s ChatGPT, Google Bard, or Stable Diffusion aren’t trained on 3D images of teeth. SmileDirectClub built their own generative AI, using their own data set, on their own servers, in compliance with HIPAA, GDPR, and other regulations. Teeth are very tricky. His company isn’t alone.

Cost-Benefit 95

Cost-Benefit Modeling Risk Enterprise 95

Jet Global

MAY 1, 2023

Introduction Why should I read the definitive guide to embedded analytics? Every application provider has the same goals: to help their users work more efficiently, and to drive user adoption. But many companies fail to achieve this goal because they struggle to provide the reporting and analytics users have come to expect. intranets or extranets).

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52