Domino Data Lab

MAY 8, 2019

Finale Doshi-Velez, Been Kim (2017-02-28) ; see also the Domino blog article about TCAV. Adrian Weller (2017-07-29). “ That’s a risk in case, say, legislators – who don’t understand the nuances of machine learning – attempt to define a single meaning of the word interpret. Challenges for Transparency ”. Riccardo Guidotti, et al.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

Jen Stirrup

OCTOBER 3, 2019

The future is likely to be even more defined by the technology that is currently evolving – and if companies neglect to take a practical, thoughtful and responsible approach to implementing and developing this software, they run the risk of not being able to catch up with the consequences. . Miller, Wolf and Grodzinsky, 2017).

Technology 40

Technology Machine Learning Interactive Risk 40

The Unofficial Google Data Science Blog

APRIL 23, 2024

However, if we experiment with both parameters at the same time we will learn something about interactions between these system parameters. Multiparameter experiments, however, generate richer data than standard A/B tests, and automated t-tests alone are insufficient to analyze them well.

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

The Unofficial Google Data Science Blog

NOVEMBER 17, 2020

For example, consider the following simple example fitting a two-dimensional function to predict if someone will pass the bar exam based just on their GPA (grades) and LSAT (a standardized test) using the public dataset (Wightman, 1998). Curiosities and anomalies in your training and testing data become genuine and sustained loss patterns.

Machine Learning 108

Machine Learning Deep Learning Modeling Interactive 108

IBM Big Data Hub

JULY 19, 2023

Other use cases where generative AI models can help life sciences organizations unleash competitive advantage are: Summarization : call center interactions, documents such as financial reports, analyst articles, emails, news, media trends and more. Supply Chain: Demand forecasting, supply chain optimization, risk assessment and mitigation.

Consulting 62

Consulting Machine Learning Manufacturing Optimization 62

bridgei2i

JULY 28, 2020

She’s the founder and CEO of StatWeather, a company, which was recognized as number one in climate technology globally in the year, 2017, by the Energy Risk Awards. We need people who can test. Not just that. Then, if the computer system goes down, then what do we do? SERIES: COVID 19 | Redefining Digital Enterprises.

Enterprise 98

Enterprise Digital Transformation Insurance B2B 98

O'Reilly on Data

JANUARY 25, 2021

We’ve explored usage across all publishing partners and learning modes, from live training courses and online events to interactive functionality provided by Katacoda and Jupyter notebooks. Observability” risks becoming the new name for monitoring. It’s particularly difficult if testing includes issues like fairness and bias.

Machine Learning 363

Machine Learning Software Testing Technology 363

Domino Data Lab

JULY 2, 2019

For more background about program synthesis, check out “ Program Synthesis Explained ” by James Bornholt from 2015, as well as the more recent “ Program Synthesis in 2017-18 ” by Alex Polozov from 2018. A Program Synthesis Primer ” – Aws Albarghouthi (2017-04-24). A Program Synthesis Primer ” – Aws Albarghouthi (2017-04-24).

Metadata 105

Metadata Machine Learning Data Science Data-driven 105

Cloudera

MAY 18, 2021

These interactions are captured and the resulting synthetic data sets can be analysed for a number of applications, such as training models to detect emergent fraudulent behavior, or exploring “what-if” scenarios for risk management. Value-at-Risk (VaR) is a widely used metric in risk management. Intraday VaR.

Risk 94

Risk Marketing Risk Management Data-driven 94

CIO Business Intelligence

APRIL 15, 2022

In 2017, The Economist declared that data, rather than oil, had become the world’s most valuable resource. MIT Technology Review has chronicled a number of failures, most of which stem from errors in the way the tools were trained or tested. The algorithm learned to identify children, not high-risk patients.

Analytics 143

Analytics Machine Learning Insurance Testing 143

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

Domino Data Lab

AUGUST 8, 2019

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). To wit: data science is a team sport. No big deal.”.

Data Science 71

Data Science Machine Learning Data Governance Statistics 71

Domino Data Lab

APRIL 3, 2019

Also, while surveying the literature two key drivers stood out: Risk management is the thin-edge-of-the-wedge ?for See also the paper “ The Case for Open Metadata ” by Mandy Chessell (2017–04–21) at IBM UK for compelling perspectives about open metadata. That definition plus the one-liner provide good starting points.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

datapine

NOVEMBER 27, 2019

Spreadsheets finally took a backseat to actionable and insightful data visualizations and interactive business dashboards. Another increasing factor in the future of business intelligence is testing AI in a duel. Today, managers and workers need to interact differently as they face an always-more competitive environment.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

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. Tableau buys Narrative Science.

Technology 142

Technology Enterprise Consulting Software 142

Alation

AUGUST 26, 2021

Privacy, Risk and Compliance. HBR Review May/June 2017. Finally, data catalogs leverage behavioral metadata to glean insights into how humans interact with data. Next, you test these use cases with the software chosen. Field Test Use Cases. Examples of Data Intelligence use cases include: Data governance.

Metadata 64

Metadata Data Governance Dashboards Software 64