O'Reilly on Data

MAY 18, 2020

Garbage in, garbage out still holds in 2020. This article answers these questions, based on our combined experience as both a lawyer and a data scientist responding to cybersecurity incidents, crafting legal frameworks to manage the risks of AI, and building sophisticated interpretable models to mitigate risk.

Risk 359

Risk Modeling Data Processing Software 359

O'Reilly on Data

APRIL 23, 2024

Some of those innovations, like Amazon’s cloud computing business, represented enormous new markets and a new business model. Google, for example, invented the Large Language model architecture that underlies today’s disruptive AI startups. These companies did continue to innovate.

Advertising 268

Advertising Cost-Benefit Marketing Risk 268

bridgei2i

JUNE 2, 2020

Episode 7: The Impact of COVID-19 on Financial Services & Risk. The Impact of COVID-19 on Financial Services & Risk Management. As past data isn’t relevant anymore, current models aren’t going to work. Now, the first of those areas is definitely risk and portfolio management. Management.

Risk Management 128

Risk Management Risk Enterprise Management 128

Smart Data Collective

MARCH 2, 2023

One survey from March 2020 showed that 67% of small businesses spend at least $10,000 every year on data analytics technology. Therefore, it is a good idea to have predictive analytics models that account for these variables. In 2023, big data Is no longer a luxury. It is an essential resource that companies have to utilize.

Big Data 81

Big Data Uncertainty Risk Data mining 81

DataRobot Blog

DECEMBER 7, 2019

Using the DataRobot’s automated machine learning platform and data from numerous sources ranging from MLB payrolls, to free agent signings, to historical player performance, we built an array of AI models to tell us specific details about how this free agent market would play out, showing contract values, terms, and destinations for every player.

Machine Learning 52

Machine Learning Forecasting Metrics Modeling 52

CIO Business Intelligence

FEBRUARY 29, 2024

As companies have grown comfortable with offshore and nearshore delivery, the captive model offers the opportunity to tap larger populations of lower-cost talent without handing the reins to a third party. Buyer beware: The risks of ownership Despite the lower barrier to entry, setting up a captive center still comes with significant risks.

Cost-Benefit 116

Cost-Benefit Risk Modeling Strategy 116

bridgei2i

APRIL 23, 2020

Still, with the COVID-19 pandemic infecting 2,475,723 and 169,151 dead in its wake till Apr 23, 2020, most businesses are slowing down and experiencing tremendous losses due to restrictions imposed on the movement of goods and people, lockdowns and regulatory compliance. Understanding & Managing Risks. Forced Moratorium on Loans.

Risk 52

Risk Management Scorecard Forecasting 52

Smart Data Collective

AUGUST 31, 2020

Big Data is Critical for App Monetization in 2020. Various Fitness App Monetization Models. Here are a few models which leading app developers have adopted big data strategies to earn from their applications. Ads Monetization Model. Viability and Feasibility of Monetization Models. Just click the link.

Data-driven 103

Data-driven Modeling Advertising Big Data 103

CDW Research Hub

SEPTEMBER 25, 2020

Forescout Research Labs recently released “ The Enterprise of Things Security Report ,” which assesses the risk posture of over 8 million devices deployed across the financial services, government, healthcare, manufacturing and retail sectors. According to Forescout, these are the most at-risk devices today. Mitigating these risks.

IoT 40

IoT Risk Manufacturing Strategy 40

CDW Research Hub

JANUARY 22, 2020

While the looming threat of hackers and security breaches should not be taken lightly, the good news is companies can mitigate risks commonly associated with breaches and safely migrate their database(s) to the cloud with proper planning, insight and preventive measures. Cloud services’ pricing models and your company’s budget availability.

Measurement 52

Measurement Consulting Risk Finance 52

IBM Big Data Hub

FEBRUARY 7, 2024

Investors, regulators and stakeholders are increasingly demanding that companies disclose their exposure to climate-related risks , such as dependence on fossil fuels or vulnerability to weather events. 2 For example, some are turning to software solutions that can more easily capture, manage and report ESG data.

Reporting 99

Reporting Cost-Benefit Internet of Things Data-driven 99

CIO Business Intelligence

AUGUST 25, 2022

As organizations shape the contours of a secure edge-to-cloud strategy, it’s important to align with partners that prioritize both cybersecurity and risk management, with clear boundaries of shared responsibility. But outsourcing operational risk is untenable, given the criticality of data-first modernization to overall enterprise success.

Risk Management 116

Risk Management Internet of Things Risk IoT 116

Smart Data Collective

MAY 10, 2022

For example, banks now apply AI to assess credit risks with high accuracy. billion in 2020. They include; Credit risk assessment. Credit risk assessment entails estimating the probability of a prospective borrower failing to repay a loan. billion to bank fraud in 2021 , up 70% from 2020. Customer Support.

Marketing 110

Marketing Technology Insurance Machine Learning 110

Cloudera

AUGUST 3, 2021

January 2020 is a distant memory, but for most, the early days of the pandemic was a time that will be ingrained in memories for decades, if not generations. Consider that e-commerce’s acceleration due to the pandemic saw retailers’ digital sales penetration realize 10 years of growth in just the first three months of 2020 alone. .

Analytics 107

Analytics Digital Transformation Risk Forecasting 107

O'Reilly on Data

MAY 25, 2021

GPT-3 is essentially an auto-complete bot whose underlying Machine Learning (ML) model has been trained on vast quantities of text available on the Internet. I’d like to share my thoughts on GPT-3 in terms of risks and countermeasures, and discuss real examples of how I have interacted with the model to support my learning journey.

Modeling 346

Modeling Marketing Testing Machine Learning 346

erwin

DECEMBER 3, 2020

The answer is radical transformation, made possible by an intelligent, data-driven approach to: New business models. To manage not only risk but also to grow and compete effectively requires the ability to deal with both planned and unplanned change. New products and services. Hyper-competition. Market expansion.

Metadata 141

Metadata Data Governance Data-driven Digital Transformation 141

Smart Data Collective

NOVEMBER 3, 2021

They currently spend just under $4 billion in 2020. The Deloitte report says that in the second quarter of 2020 the largest 100 banks in the USA reported $103.4 2020 became the year when a lot of customers first experienced their remote interaction with banks and enjoyed it. The banking industry is among them.

Software 121

Software Data-driven Interactive Insurance 121

Smart Data Collective

DECEMBER 5, 2021

This was nearly 20% higher than all of 2020, when data breaches already became higher than ever due to so many people staying at home. He concluded that traditional security models were operating on an outdated assumption. Further, the user identity is assumed not to be compromised in a traditional model. Efficient Access.

Internet of Things 114

Internet of Things Risk IoT Big Data 114

CIO Business Intelligence

JANUARY 13, 2023

The report attributes the huge over-expenditure to vendor lock-in and NASA’s unwillingness to risk a license audit by Oracle because of its lack of visibility into software management. The agency uses over 49,000 desktops, laptops and engineering computers.

IT 122

IT Software Reporting Risk 122

CIO Business Intelligence

JULY 18, 2023

Enterprises have been evolving toward as-a-Service models for years, but most of this transition has been executed in software, via SaaS and other subscription models. The PC-as-a-Service (PCaaS) model makes it just as efficient to deploy and support your PC fleet.

Strategy 97

Strategy Consulting Software Modeling 97

erwin

SEPTEMBER 3, 2020

You can collect complete application ecosystem information; objectively identify connections/interfaces between applications, using data; provide accurate compliance assessments; and quickly identify security risks and other issues. You can better manage risk because of real-time data coming into the EA space.

Data Governance 144

Data Governance Enterprise Risk Data Lake 144

Cloudera

AUGUST 12, 2021

A 2020 retention report by the Work Institute revealed that over 42 million employees in the US left their jobs voluntarily in 2019, and this trend appeared to be increasing. Exploring new possibilities to develop intelligent connected devices and services is made easier by creating digital twins,accurate models to predict behaviour.

Data-driven 107

Data-driven Manufacturing Insurance Risk Management 107

CIO Business Intelligence

JANUARY 17, 2023

Billion in 2020 and is projected to reach USD 131.68 Aerospace and Defense 2020 SAP Innovation Awards We celebrated a record number of submissions for the 2020 SAP Innovation Award program. According to Verified Market Research , the Global Satellite Communication Market size was valued at USD 65.68

Technology 98

Technology Manufacturing Digital Transformation Data-driven 98

Cloudera

DECEMBER 11, 2020

A recent McKinsey survey, cited in CRN , shows that worldwide, 58 percent of customer interactions were digital as of July 2020. Insurance and finance are two industries that rely on measuring risk with historical data models. To facilitate risk modeling in this new normal, agility and flexibility is required.

Insurance 91

Insurance Digital Transformation Unstructured Data Machine Learning 91

erwin

OCTOBER 16, 2020

Now to survive and thrive in the face of radical disruption requires radical transformation and new business models. The global pandemic in 2020 has accelerated digital transformation and amplified the value of data in what will become the next normal as the global economy struggles through recovery. Subscribe to the erwin Expert Blog.

Internet of Things 145

Internet of Things Data-driven Uncertainty Data Governance 145

Smart Data Collective

OCTOBER 13, 2020

Predictive analytics have become even more influential in the future of altcoins in 2020. But it’s clear they need help in choosing the best altcoins to buy from the more than 2000 high-risk cryptocurrencies available. That appears unlikely, however, even with the momentum of the 2020 altcoin season driving continued growth.

Predictive Analytics 100

Predictive Analytics Analytics Forecasting Marketing 100

CIO Business Intelligence

JANUARY 9, 2023

What they found—an innovative way to model healthcare data—is saving the company an estimated $150M annually and enabling its medical professionals to provide accurate and effective care path recommendations in real time. Armed with this insight, healthcare providers could warn patients when they were at higher risk.

Analytics 100

Analytics Cost-Benefit Visualization Risk 100

IBM Big Data Hub

JANUARY 3, 2024

In 2020, the National Institute for Health (NIH) published a report stating that Black Americans died from COVID-19 at higher rates than White Americans, even though they make up a smaller percentage of the population. Empower domain experts to curate and maintain trusted sources of data that are used to train models.

Metadata 80

Metadata Modeling Testing Manufacturing 80

DataRobot

OCTOBER 19, 2021

On average, DataRobot forecasts had a 21 percent lower rate of error than all other published competing models over a six to eight week period. At the time, much of the available data was limited and inaccurate as a result of forecasting based on traditional—and outdated— epidemiological modeling. reporting backlogs). White Paper.

Forecasting 98

Forecasting Predictive Modeling Optimization Testing 98

CIO Business Intelligence

APRIL 12, 2022

By May 2020, up to 70 percent of employees were working from home. Many top companies are switching to a hybrid model to encourage collaboration, including Capital One. Personally, I am excited to move into the hybrid work model.”. While working remotely certainly has its benefits, security risks can arise.

Cost-Benefit 98

Cost-Benefit Risk Measurement Modeling 98

Cloudera

AUGUST 17, 2023

From powering intelligent Large Language Model (LLM) based chatbots like ChatGPT and Bard , to enabling text-to-AI image generators like Stable Diffusion , ML continues to drive innovation. And despite generating misinformation, malinformation and even outright lies , the reward of using ChatGPT was seen as far greater than the risk.

Software 70

Software Risk Manufacturing Finance 70

BizAcuity

APRIL 1, 2023

Anti-Money Laundering (AML) is increasingly becoming a crucial branch of risk management and fraud prevention. In fact, online casinos as an industry carries the biggest risk of money laundering. Predictive Analytics can help businesses in reducing risk (eg. Building a predictive model is a continuous process and commitment.

Machine Learning 52

Machine Learning Predictive Analytics Predictive Modeling Risk 52

erwin

JULY 12, 2019

equivalent of GDPR] will not become effective until 2020, we believe that new developments in GDPR enforcement may influence the regulatory framework of the still fluid CCPA.”. Creating and automating a curated enterprise data catalog , complete with physical assets, data models, data movement, data quality and on-demand lineage.

Data Governance 110

Data Governance Management Metadata Risk Management 110

erwin

NOVEMBER 13, 2020

Data Security & Risk Management. Enterprise architecture has been critical to helping businesses navigate the pandemic to ensure business continuity, reimagine their business and operating models, and identify the tools to survive and ultimately thrive in a post-COVID world. Digital Transformation. Compliance/Legislation.

Enterprise 131

Enterprise Digital Transformation Key Performance Indicator Data-driven 131

erwin

OCTOBER 8, 2020

And you can’t risk false starts or delayed ROI that reduces the confidence of the business and taint this transformational initiative. But even with the “need for speed” to market, new applications must be modeled and documented for compliance, transparency and stakeholder literacy. Subscribe to the erwin Expert Blog.

Data Governance 145

Data Governance Metadata Testing Data Lake 145

Rita Sallam

APRIL 2, 2023

In 2020, we analyzed population health data. Qlik Key Findings: In the US alone, there’s $367 billion in agricultural commodities at risk to flooding in the US alone. A large part of under-developed Asian countries ranging from Bangladesh to Vietnam are at high risk of flooding events. In 2000, the Netherlands had 8.5

Optimization 52

Optimization Machine Learning Insurance Risk 52

CIO Business Intelligence

SEPTEMBER 6, 2022

When Steve Pimblett joined The Very Group in October 2020 as chief data officer, reporting to the conglomerate’s CIO, his task was to help the enterprise uncover value in its rich data heritage. The whole company rebranded as Very in 2020, the year Pimblett joined. You know, good old DBAs, modelers, and analysts.”.

IT 98

IT Forecasting Data Lake Enterprise 98