O'Reilly on Data

SEPTEMBER 19, 2023

” Each step has been a twist on “what if we could write code to interact with a tamper-resistant ledger in real-time?” “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 247

Machine Learning Testing Modeling Cost-Benefit 247

John Wheeler

NOVEMBER 25, 2020

Integrated risk management (IRM) technology is uniquely suited to address the myriad of risks arising from the current crisis and future COVID-19 recovery. Re-starting business operations will require risk visibility not only across the organization but vertically down through the organization as well. Key Findings.

Marketing 110

Marketing Risk Management Risk Digital Transformation 110

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

Domino Data Lab

JULY 22, 2019

By virtue of that, if you take those log files of customers interactions, you aggregate them, then you take that aggregated data, run machine learning models on them, you can produce data products that you feed back into your web apps, and then you get this kind of effect in business. What do they report in common? You know what?

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

Jet Global

MAY 19, 2020

Organizations across various industries must respond quickly in order to maintain continuity and de-risk their operations as their functions are drastically disrupted during a crisis. The insights can help you monitor your ability over the long term and help you avoid potential financial risks. Visibility into Liquidity is Vital.

Uncertainty 98

Uncertainty Risk Management Reporting 98

Alation

AUGUST 5, 2021

Analysts wind up relying on imperfect reports and making misguided conclusions based on those findings. And in more highly regulated industries, bad data can result in the company receiving fines for improper financial or regulatory compliance reporting. Establish a step-by-step process for investigating negative reports.

Data Quality 52

Data Quality IT Data Governance Sales 52

Domino Data Lab

AUGUST 8, 2019

2008 – Financial crisis : scientists flee Wall St. The probabilistic nature changes the risks and process required. We face problems—crises—regarding risks involved with data and machine learning in production. Some people are in fact trained to work with these kinds of risks. Public Health Reports (2017-07-10).

Data Science 71

Data Science Machine Learning Data Governance Statistics 71

O'Reilly on Data

JANUARY 25, 2021

In this report, we look at the data generated by the O’Reilly online learning platform to discern trends in the technology industry—trends technology leaders need to follow. Look at all the angst heating up social media when TIOBE or RedMonk releases their reports on language rankings. But what are “trends”? Starting with Python 3.0

Machine Learning 363

Machine Learning Software Testing Technology 363

Jet Global

APRIL 5, 2021

Risk management. The three-statement financial model allows you to explore how your company will perform under multiple circumstances and visualize how different decisions can interact to impact the future of the company. This is achieved through thorough risk management strategies that are continually reviewed. M&A Model.

Modeling 98

Modeling Forecasting Metrics Finance 98