Rocket-Powered Data Science

FEBRUARY 15, 2023

3) How do we get started, when, who will be involved, and what are the targeted benefits, results, outcomes, and consequences (including risks)? Those F’s are: Fragility, Friction, and FUD (Fear, Uncertainty, Doubt). (2) Why should your organization be doing it and why should your people commit to it? (3)

Strategy 290

Strategy Experimentation Uncertainty Machine Learning 290

CIO Business Intelligence

JUNE 23, 2023

It helps reduce risk, increase efficiency, optimize resources, and improve both the customer and employee experience. When asked what keeps them up at night, IT leaders noted the need to improve overall IT performance (60%), followed by data security (50%), process risk and compliance (46%), and the need to improve agility (41%).

IT 98

IT Risk Management Risk Optimization 98

DataRobot

AUGUST 5, 2021

After Banjo CEO Damien Patton was exposed as a member of the Ku Klux Klan, including involvement in an anti-Semitic drive-by shooting, the state put the contract on hold and called in the state auditor to check for algorithmic bias and privacy risks in the software. The good news was the software posed less risk to privacy than suspected.

Uncertainty 98

Uncertainty Sales Risk Statistics 98

CIO Business Intelligence

JUNE 24, 2024

Yet throughout the evening, the common denominator was the need to reduce uncertainty and manage risk. At a recent supper roundtable in London, convened by the endpoint and IT management vendor NinjaOne , attendees discussed some of the industry’s most complex issues. Here are five main takeaways from the event.

IT 98

IT Uncertainty Manufacturing Data Processing 98

Cloudera

DECEMBER 3, 2021

Surely there are ways to comb through the data to minimise the risks from spiralling out of control. This involves identifying, quantifying and being able to measure ethical considerations while balancing these with performance objectives. Systems should be designed with bias, causality and uncertainty in mind. System Design.

Uncertainty 100

Uncertainty Measurement Metrics Risk 100

Insight

FEBRUARY 19, 2020

Using variability in machine learning predictions as a proxy for risk can help studio executives and producers decide whether or not to green light a film project Photo by Kyle Smith on Unsplash Originally posted on Toward Data Science. and even set their risk tolerance. In 2019, Netflix alone released 371 new TV shows and movies.

Risk 67

Risk ROI Modeling Metrics 67

CIO Business Intelligence

NOVEMBER 12, 2024

Transformational CIOs recognize the importance of IT culture in delivering innovation, accelerating business impacts, and reducing operational and security risks. Measure the impact of software developers by how teams meet release commitments, promote design peer reviews, and demonstrate the impacts of experimentation.

IT 139

IT Digital Transformation Management Experimentation 139

IBM Big Data Hub

MARCH 25, 2024

Get the study: The Revolutionary Content Supply Chain A content supply chain brings together people, processes, and technology to effectively plan, create, produce, launch, measure, and manage content. Modernizing a workflow to introduce a content supply chain means disruption and uncertainty.

Uncertainty 97

Uncertainty Cost-Benefit Risk Measurement 97

CIO Business Intelligence

JULY 23, 2023

EY recently found that in current economic and financial uncertainty, 94% of tech executives plan to increase their IT investment over the next year. Optimization also rose to the top of IT leaders’ lists: 67% measure success within their IT organization by better optimizing resources.

Optimization 95

Optimization IT Digital Transformation Uncertainty 95

IBM Big Data Hub

JUNE 12, 2023

As public cloud technology and hybrid multicloud architectures are being adopted in financial institutions at an increasing rate, we’re observing that their counterparts in the public sector— central banks—are a long way behind, due at least in part to a profoundly risk-averse approach.

Strategy 85

Strategy Cost-Benefit Digital Transformation Uncertainty 85

CIO Business Intelligence

JULY 10, 2024

“Getting the right people with diverse skill sets and capabilities is critical, and then it’s about finding the right roles for those people and giving them clarity on the vision, strategy, and measures of success,” she says. But as a technologist, you understand more the risks and controls you need to put in place.

Strategy 118

Strategy Cost-Benefit Uncertainty Technology 118

CIO Business Intelligence

MAY 9, 2023

Like most CIOs you’ve no doubt leaned on ROI, TCO and KPIs to measure the business value of your IT investments. Those Three Big Acronyms are still important for fine-tuning your IT operations, but success today is increasingly measured in business outcomes. Maybe you’ve even surpassed expectations in each of these yardsticks.

ROI 126

ROI Cost-Benefit KPI Uncertainty 126

The Unofficial Google Data Science Blog

APRIL 23, 2024

the weight given to Likes in our video recommendation algorithm) while $Y$ is a vector of outcome measures such as different metrics of user experience (e.g., Crucially, it takes into account the uncertainty inherent in our experiments. Figure 2: Spreading measurements out makes estimates of model (slope of line) more accurate.

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

CIO Business Intelligence

DECEMBER 18, 2023

Other fears cover compliance with emerging AI regulations and the risk of models becoming contaminated or biased through adversarial attacks. As some executives suggested, it would benefit the enterprise more to monitor the AI traffic at an aggregate (not employee-specific) level to understand the risks of public LLM usage.

Enterprise 119

Enterprise Management Risk Uncertainty 119

O'Reilly on Data

MARCH 31, 2020

Machine learning adds uncertainty. Underneath this uncertainty lies further uncertainty in the development process itself. There are strategies for dealing with all of this uncertainty–starting with the proverb from the early days of Agile: “ do the simplest thing that could possibly work.”

Management 339

Management Machine Learning Experimentation Metrics 339

O'Reilly on Data

SEPTEMBER 15, 2020

Technical sophistication: Sophistication measures a team’s ability to use advanced tools and techniques (e.g., Technical competence: Competence measures a team’s ability to successfully deliver on initiatives and projects. Technical competence results in reduced risk and uncertainty.

Advertising 300

Advertising Cost-Benefit ROI Machine Learning 300

Jedox

SEPTEMBER 3, 2020

The new normal introduced new risks from employee health and safety, supply chain stress and government mandates – all with working capital implications. The unprecedented uncertainty forced companies to make critical decisions within compressed time frames. This placed an acute spotlight on planning agility. Conclusion.

Uncertainty 81

Uncertainty Forecasting Digital Transformation Risk 81

DataKitchen

SEPTEMBER 21, 2023

The uncertainty of not knowing where data issues will crop up next and the tiresome game of ‘who’s to blame’ when pinpointing the failure. After navigating the complexity of multiple systems and stages to bring data to its end-use case, the final product’s value becomes the ultimate yardstick for measuring success.

Testing 173

Testing Data Quality Predictive Modeling Metrics 173

CIO Business Intelligence

JUNE 8, 2022

Digital disruption, global pandemic, geopolitical crises, economic uncertainty — volatility has thrown into question time-honored beliefs about how best to lead IT. If people need to go through multiple layers of approvals, they run the risk of building a very inefficient system. Tumultuous times redefine what constitutes success.

IT 133

IT Cost-Benefit Uncertainty Digital Transformation 133

IBM Big Data Hub

SEPTEMBER 11, 2023

Government executives face several uncertainties as they embark on their journeys of modernization. How to quantify the impact : Quantify, articulate and measure the expected long-term benefit of a capability to justify the investment. Through the analysis of collected data, potential opportunities for improvement are uncovered.

Data-driven 85

Data-driven IT Measurement Cost-Benefit 85

IBM Big Data Hub

FEBRUARY 20, 2024

These proactive measures are made possible by evolving technologies designed to help people adapt to the effects of climate change today. The model could potentially be used to identify conditions that raise the risks of wildfires and predict hurricanes and droughts. But what will the impacts of climate change be in the future?

Modeling 113

Modeling Forecasting Reporting Risk 113

CIO Business Intelligence

SEPTEMBER 20, 2023

They are afraid of failure and the uncertainty of knowledge work, and so that’s stressful. Agile is an amazing risk management tool for managing uncertainty, but that’s not always obvious.” The key is recognizing that planning must be an agile discipline, not a standalone activity performed independently of agile teams.

Digital Transformation 135

Digital Transformation Uncertainty Metrics Business Objectives 135

Data Insight

APRIL 8, 2020

So, in the face of uncertainty, how should businesses be looking to use data to stay ahead? This phase is about identifying the specific segments, customers, channels or products that are at risk or represent an opportunity for growth. Measure – how are things changing? Monitor – what is happening?

Key Performance Indicator 52

Key Performance Indicator Analytics Measurement Uncertainty 52

Smart Data Collective

APRIL 30, 2020

At this stage there is an insufficient amount of data concerning the health risks, so we must all take the same precautions for our own safety and for the safety of others around us. We are also required to follow the same restrictive measures that attempt to contain or mitigate the spread of the virus. Standardise security processes.

Measurement 79

Measurement Uncertainty Risk Testing 79

CIO Business Intelligence

OCTOBER 18, 2023

If anything, 2023 has proved to be a year of reckoning for businesses, and IT leaders in particular, as they attempt to come to grips with the disruptive potential of this technology — just as debates over the best path forward for AI have accelerated and regulatory uncertainty has cast a longer shadow over its outlook in the wake of these events.

Risk 141

Risk Manufacturing Enterprise Technology 141

BizAcuity

MARCH 18, 2019

The consumer lending business is centered on the notion of managing the risk of borrower default. Credit scoring systems and predictive analytics model attempt to quantify uncertainty and provide guidance for identifying, measuring and monitoring risk. Benefits of Predictive Analytics in Unsecured Consumer Loan Industry.

Predictive Analytics 83

Predictive Analytics Analytics Data mining Cost-Benefit 83

AWS Big Data

SEPTEMBER 9, 2024

Stock implied volatility Implied volatility (IV) is a measure of the market’s expectation of how much a stock’s price is likely to fluctuate in the future. It is also used to price new options contracts and is sometimes referred to as the stock market’s fear gauge because it tends to spike higher during market stress or uncertainty.

Publishing 82

Publishing Management Snapshot Dashboards 82

Sisense

MARCH 26, 2020

To effectively identify what measures need to be taken, analytics can help to summarize and predict how companies should evolve to survive in a challenging environment. Now is the time to apply the full force of business intelligence used by analytics teams to help navigate growing uncertainty. While companies such as Adobe Inc.,

Management 91

Management Cost-Benefit Uncertainty Digital Transformation 91

DataRobot

JUNE 1, 2021

You should first identify potential compliance risks, with each additional step again tested against risks. Managing risk for any model involves understanding which monitoring and risk-mitigation procedures apply. Recognizing and admitting uncertainty is a major step in establishing trust. Is rain 40% likely?

Uncertainty 52

Uncertainty Machine Learning Advertising Risk 52

Jet Global

NOVEMBER 16, 2021

Faced with such monumental potential changes, tax and transfer pricing are now front and centre of MNEs’ operational risk registers. Investing in the right skills and tools that help reduce that risk is a matter for the senior leadership team, not just tax and TP professionals. The Current Picture. Download Now.

Advertising 97

Advertising Forecasting Uncertainty Risk 97

Cloudera

DECEMBER 11, 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. Data Variety. This will only become more important as we move into 2021 and a post-pandemic new normal.

Insurance 93

Insurance Digital Transformation Unstructured Data Machine Learning 93

Jet Global

JUNE 23, 2020

As companies grapple with economic shutdowns, plummeting revenues, market instability, and economic uncertainty now and into the foreseeable future, they need financial insights more than ever before. It’s exactly the kind of capability companies need to move forward with any measure of clarity and confidence.

Reporting 98

Reporting Uncertainty Metrics Measurement 98

DataRobot

JULY 16, 2021

Accuracy — this refers to a subset of model performance indicators that measure a model’s aggregated errors in different ways. Recognizing and admitting uncertainty is a major step in establishing trust. How can identifying gaps or discrepancies in the training data help you build a more trustworthy model?

Machine Learning 98

Machine Learning Uncertainty Modeling Measurement 98

The Unofficial Google Data Science Blog

DECEMBER 4, 2019

This classification is based on the purpose, horizon, update frequency and uncertainty of the forecast. A single model may also not shed light on the uncertainty range we actually face. These characteristics of the problem drive the forecasting approaches.

Forecasting 113

Forecasting Data Science Statistics Uncertainty 113

CIO Business Intelligence

OCTOBER 25, 2023

The recent breach is a stark reminder of the importance of robust security measures and continuous monitoring to safeguard identity provider systems and protect against these potential impacts. Deception changes the dynamics by injecting uncertainty into your environment.

Uncertainty 143

Uncertainty Measurement Data-driven Reporting 143

Jet Global

JULY 23, 2020

Fortunately, the level of uncertainty has fallen considerably, as many businesses are beginning to re-open, albeit with some restrictions and under capacity restrictions. F&A should be monitoring receivables closely, understanding which customers may be at risk, and taking an aggressive stance on collections.

Uncertainty 95

Uncertainty Finance Cost-Benefit Reporting 95

O'Reilly on Data

JULY 20, 2021

It comes down to a key question: is the risk associated with an action greater than the trust we have that the person performing the action is who they say they are? When we consider the risk associated with an action, we need to understand its privacy implications. There is a tradeoff between the trust and risk. Source: [link].

Risk 304

Risk Software Interactive Modeling 304