CIO Business Intelligence

MAY 23, 2023

Unlocking VMware’s potential Broadcom’s business model and its decades of focus on R&D combined with VMware’s core technology and superb talent will be the catalysts that will enable VMware to capture the growth opportunity in front of it. VMware needs more partners to grow, and we will help it succeed in doing so.

Uncertainty 144

Uncertainty Cost-Benefit Risk Technology 144

DataRobot Blog

MAY 31, 2022

For instance, in 2019, the Government Acquisition Office (GAO) researched and identified 35 high-risk hiring areas. The Office of Personnel Management (OPM) began tracking time-to-hire (T2H) requirements in 2008 and found that the average government hire took around 100 days. Use Case Results. Additional DataRobot Use Cases.

Management 59

Management Risk Testing Modeling 59

Jedox

OCTOBER 8, 2020

We had the Financial Crisis/Recession of 2008, where hopefully the comment “Well that will never happen” has been struck from our lexicon and is now considered a punishable capital offense. The 2008 economic crisis was a watershed event for FP&A teams and scenario planning.

Uncertainty 75

Uncertainty Cost-Benefit Unstructured Data Data-driven 75

AWS Big Data

MARCH 26, 2024

The updated Data Analytics Lens outlines the most up-to-date steps for performing an AWS Well-Architected review that empowers you to assess and identify technical risks of your data analytics platforms. He’s worked with small and big data for most of his career, and has built applications running on AWS since 2008.

Data Analytics 55

Data Analytics Analytics Big Data Data Lake 55

Cloudera

JANUARY 26, 2022

In 1991, the World Wide Web (WWW) launched, and distributed computing in the form of the client-server model started to take shape. In 2008, Cloudera was born. The amount of data being collected grew, and the first data warehouses were developed. Big Data” became a topic of conversations and the term “Cloud” was coined. .

Data Processing 84

Data Processing IoT Cost-Benefit Digital Transformation 84

Smart Data Collective

MARCH 22, 2019

Realtors all over the country have started embracing automation to streamline their valuation and customer engagement models. New models use the latest geographic, economic and demographic data to minimize the risk of mistakes when analyzing properties. The error rate for real estate professionals using AI algorithms is just 9%.

Big Data 66

Big Data Cost-Benefit Marketing Strategy 66

CIO Business Intelligence

FEBRUARY 24, 2023

VMware Tanzu Labs partners with organizations worldwide to accelerate the delivery of software and modernize legacy apps, while reducing operating costs and risk working side by side with customers to build capabilities, transfer skills and knowledge, and instill a process that shows immediate and lasting impact. government.

Software 114

Software Uncertainty Risk Cost-Benefit 114

Smart Data Collective

MARCH 10, 2022

The biggest benefits relate to using big data to understand voters and create models of voting patterns in various districts. As the title suggests, it is geared towards using data analytics to anticipate the risk of a borrower defaulting on their student loans. More policymakers are using data to make more informed decisions.

Data Analytics 99

Data Analytics Analytics Big Data Cost-Benefit 99

CIO Business Intelligence

AUGUST 1, 2023

Instead, our entire business model is grounded in the belief that we can create innovative solutions that will deliver on our customers’ needs over time and progress through multiple generations of technology. From September 2005 to January 2008, he served as chairman of the board of Integrated Device Technology.

Uncertainty 97

Uncertainty Risk Sales Marketing 97

Jet Global

JUNE 25, 2020

Based on 20 years of research findings and heavily informed by insights gleaned from the 2008 financial downturn, the list deserves review: Taking Bigger Bets. Facilitating Risk Taking. Combining Budget Models. Financial invisibility represents one of the biggest risks companies face right now. Fighting Scope Creep.

Uncertainty 52

Uncertainty Reporting Risk Metrics 52

Jen Stirrup

FEBRUARY 1, 2023

The effects of AI will be magnified in the coming decade as manufacturing, retailing, transportation, finance, health care, law, advertising, insurance, entertainment, education, and virtually every other industry transform their core processes and business models to take advantage of machine learning.

Recreation/Entertainment 62

Recreation/Entertainment Testing Advertising Insurance 62

Jet Global

JUNE 22, 2023

Recommended Post: [link] As a CFO, it is your job to address the financial risk of your business. This blog post talks about the benefits of having an external CFO conduct risk analysis on your business for you. Strategize your hiring practices using real-time insights from a headcount ratio model.

KPI 105

KPI Finance Dashboards Digital Transformation 105

CIO Business Intelligence

OCTOBER 31, 2022

The Broadcom business case for this transaction is premised on focusing on the business model, increasing R&D, and executing so that customers see the value of the full portfolio of innovative product offerings — not on increasing prices. VMware develops technology for the future and addresses a growing market.

Uncertainty 97

Uncertainty Risk Reporting Marketing 97

The Unofficial Google Data Science Blog

APRIL 17, 2017

Selection and aggregation of forecasts from an ensemble of models to produce a final forecast. Calendaring was therefore an explicit feature of models within our framework, and we made considerable investment in maintaining detailed regional calendars. Adjustments for effects: holiday, seasonality, and day-of-week effects.

Forecasting 83

Forecasting Modeling Statistics Uncertainty 83

O'Reilly on Data

JULY 15, 2019

In recent posts, we described requisite foundational technologies needed to sustain machine learning practices within organizations, and specialized tools for model development, model governance, and model operations/testing/monitoring. Note that the emphasis of SR 11-7 is on risk management.). Sources of model risk.

Machine Learning 37

Machine Learning Management Enterprise Risk Management 37

CIO Business Intelligence

JULY 5, 2023

Addressing semiconductor supply chain risks Even before the most recent supply chain challenges, political leaders around the world have been taking a close look at the current semiconductor supply chain model. Some of that risk is being addressed at national and regional levels, such as the U.S. CHIPS Act and the EU Chips Act.

Risk 96

Risk Manufacturing Cost-Benefit Data Processing 96

Smart Data Collective

FEBRUARY 28, 2023

One of the most important changes pertains to risk parity management. We are going to provide some insights on the benefits of using machine learning for risk parity analysis. However, before we get started, we will provide an overview of the concept of risk parity. What is risk parity? What is risk parity?

Machine Learning 83

Machine Learning Risk Cost-Benefit Marketing 83

Anmut

NOVEMBER 10, 2020

Formerly known as DONG (Danish Oil and Natural Gas) Energy, in 2008 Ørsted announced a new focus on renewables, targeting 85% clean-energy supply by 2040. Data helped Ørsted reduce the risks associated with a rapidly changing organisation, putting the right information in the hands of decision-makers targeting a greener corporate vision.

Forecasting 52

Forecasting Data-driven Advertising ROI 52

bridgei2i

MAY 26, 2020

It is even more essential now that supply chains are empowered with a high standard of data and analytics sophistication to be able to cost-effectively serve the company’s purpose and combat risks at the same time. You know, Chief Risk Officers, for example, will no longer be confined to the credit industry. Anushruti: Perfect.

Enterprise 131

Enterprise Management Forecasting Manufacturing 131

CIO Business Intelligence

JUNE 27, 2022

Sentry was started as an open source project by David Cramer in 2008 to provide monitoring services for application developers. We knew we had a great product, with a number of paying customers and a fair approach to pricing so churn risk was low. million developers today. Be committed in your belief of how to do something.

Software 110

Software Experimentation Testing Marketing 110

Cloudera

FEBRUARY 15, 2024

It’s hard to believe it’s been 15 years since the global financial crisis of 2007/2008. While this might be a blast from the past we’d rather leave in the proverbial rear-view mirror, in March of 2023 we were back to the future with the collapse of Silicon Valley Bank (SVB), the largest US bank to fail since 2008.

Insurance 83

Insurance Data Architecture Risk Management Risk 83

O'Reilly on Data

SEPTEMBER 19, 2023

” Consider the structural evolutions of that theme: Stage 1: Hadoop and Big Data By 2008, many companies found themselves at the intersection of “a steep increase in online activity” and “a sharp decline in costs for storage and computing.” And it (wisely) stuck to implementations of industry-standard algorithms.

Machine Learning 245

Machine Learning Testing Modeling Cost-Benefit 245

CIO Business Intelligence

DECEMBER 13, 2023

Over the past 15 years, its stock price grew from a low of $20 in 2008 to $170 today as it diversified into new areas of business, research, and workflow products for legal, accounting, and tax professionals. Generative AI systems carry a lot of risk for enterprises,” he says. And then there are the legal risks.”

Enterprise 135

Enterprise Consulting Risk Marketing 135

CIO Business Intelligence

MAY 24, 2022

Deloitte estimates that compliance costs for banks have increased by 60% since the financial crisis of 2008, and the Risk Management Association found that 50% of financial institutions spend 6 to 10% of their revenues on compliance. This is where sophisticated OCR (optical character recognition), NLP, and AI models come in.

Risk 145

Risk Reporting Marketing Risk Management 145

O'Reilly on Data

MAY 27, 2020

So the state calculates and publishes a “Risk Adjusted Mortality Ratio”—a comparison between the actual number of observed deaths and the number that would be statistically expected, on average, for patients medically similar to those each doctor actually operated on. Credit scores.

Risk 354

Risk Testing Measurement Reporting 354

Domino Data Lab

JULY 22, 2019

how “the business executives who are seeing the value of data science and being model-informed, they are the ones who are doubling down on their bets now, and they’re investing a lot more money.” and drop your deep learning model resource footprint by 5-6 orders of magnitude and run it on devices that don’t even have batteries.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

CIO Business Intelligence

MARCH 22, 2022

At Fractal, Tiwari will be responsible for the company’s digital transformation and overseeing IT operations, cybersecurity, and risk management. . In his 20 years’ experience in IT, Verma has led work on security, risk compliance, IoT, RPA, cloud, and business continuity planning. He will be based in Gurugram.

Internet Publishing and Broadcasting 98

Internet Publishing and Broadcasting Digital Transformation Insurance Recreation/Entertainment 98

Cloudera

MARCH 18, 2021

The Fundamental Review of the Trading Book (FRTB), introduced by the Basel Committee on Banking Supervision (BCBS), will transform how banks measure risk. FRTB is designed to address some fundamental weaknesses that did not get addressed in the post-2008 financial crisis regulatory reforms. FRTB Demands a Streamlined Architecture.

Risk 55

Risk Machine Learning Risk Management Measurement 55

Domino Data Lab

JANUARY 6, 2019

I’ve been teaching data science since 2008 privately for employers – exec staff, investors, IT teams, and the data teams I’ve led – and since 2013, for industry professionals in general. What are the projected risks for companies that fall behind for internal training in data science? This is not a new gig, by any stretch.

Data Science 56

Data Science Machine Learning Reporting Visualization 56

CIO Business Intelligence

APRIL 3, 2023

These programs help us drive two pivotal customer objectives: innovation in technology and innovation in business models. We introduce industry-first, go-to-market partner models with shared risk and significant rewards. From September 2005 to January 2008, he served as chairman of the board of Integrated Device Technology.

Sales 52

Sales Digital Transformation Software Marketing 52

Ontotext

DECEMBER 30, 2022

In 2008, we received a small round of funding and focused on bringing this technology to the market. Of course, there is still heavy lifting needed to lower the cost, risk and time-to-value of such an advanced knowledge management technology. Ontotext develops re-usable domain models as pre-packaged knowledge graphs.

Enterprise 52

Enterprise Sales Cost-Benefit Marketing 52

Ontotext

DECEMBER 30, 2022

In 2008, we received a small round of funding and focused on bringing this technology to the market. Of course, there is still heavy lifting needed to lower the cost, risk and time-to-value of advanced knowledge management technology.

Enterprise 52

Enterprise Sales Cost-Benefit Marketing 52

Cloudera

JUNE 23, 2021

Yet there are also more subtle risks to monitor, including changes to insured assets, risks, and exposures. Climate change can also impact the insurance carrier as an enterprise itself—similarly to cyber risks, insurers underwrite cyber risks for their customers, as well as manage their own risks and exposure as a company.

Insurance 52

Insurance Risk Modeling Risk Management 52

Domino Data Lab

AUGUST 8, 2019

Meanwhile, many organizations also struggle with “late in the pipeline issues” on model deployment in production and related compliance. then building machine learning models to recommend methods and potential collaborators to scientists. 2008 – Financial crisis : scientists flee Wall St.

Data Science 71

Data Science Machine Learning Data Governance Statistics 71

Domino Data Lab

MAY 20, 2021

In this article we discuss why fitting models on imbalanced datasets is problematic, and how class imbalance is typically addressed. This carries the risk of this modification performing worse than simpler approaches like majority under-sampling. Chawla et al. Indeed, in the original paper Chawla et al. Chen, L., & Aihara, K.

Machine Learning 136

Machine Learning Metrics Data mining Knowledge Discovery 136

Jet Global

NOVEMBER 23, 2020

In this model, your monthly income is split into the following categories: 50 percent for needs, 30 percent for wants, 20 percent for debts and savings. As a CFO, it is your job to address the financial risk of your business. Strategize your hiring practices using real-time insights from a headcount ratio model.

KPI 52

KPI Finance Dashboards Data Processing 52

Occam's Razor

SEPTEMBER 29, 2009

When you are trying to break through the noise you'll take any measure of success to detect a signal, use the macro & micro conversion mental model. It is important to point out I am simply doing outside-in analysis, a sport always fraught with risk. Outcome #6: To destroy your competition. Notice the competitive trends?

Measurement 128

Measurement Metrics Analytics Marketing 128