The Unofficial Google Data Science Blog

DECEMBER 14, 2021

by AMIR NAJMI & MUKUND SUNDARARAJAN Data science is about decision making under uncertainty. Some of that uncertainty is the result of statistical inference, i.e., using a finite sample of observations for estimation. But there are other kinds of uncertainty, at least as important, that are not statistical in nature.

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O'Reilly on Data

MARCH 31, 2020

Machine learning adds uncertainty. This has serious implications for software testing, versioning, deployment, and other core development processes. Underneath this uncertainty lies further uncertainty in the development process itself. Models within AI products change the same world they try to predict.

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CIO Business Intelligence

NOVEMBER 12, 2024

He did not get to the point of 100% specificity and confidence about exactly how this makes him happier and more productive through a quick one-and-done test of a use case or two. He specializes in removing fear, uncertainty, and doubt from strategic decision-making through empirical data and market sensing.

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O'Reilly on Data

SEPTEMBER 15, 2020

Technical competence results in reduced risk and uncertainty. With well-formed goals, data scientists and machine learning engineers can then apply the scientific method to test different approaches in order to determine the validity of the hypothesis, and assess whether a given approach is feasible and can achieve the goal.

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O'Reilly on Data

OCTOBER 13, 2020

In Bringing an AI Product to Market , we distinguished the debugging phase of product development from pre-deployment evaluation and testing. During testing and evaluation, application performance is important, but not critical to success. require not only disclosure, but also monitored testing. Debugging AI Products.

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CIO Business Intelligence

AUGUST 15, 2024

For instance, the increasing cost of capital has affected access to and use of money across all sectors; an increasing regulatory focus on competition and industry dynamics has driven increased scrutiny as a critical factor for uncertainty; geopolitical uncertainties, including unprecedented conflicts across many regions, have forced delays.

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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. In the context of Data in Place, validating data quality automatically with Business Domain Tests is imperative for ensuring the trustworthiness of your data assets.

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O'Reilly on Data

DECEMBER 9, 2019

Because of this trifecta of errors, we need dynamic models that quantify the uncertainty inherent in our financial estimates and predictions. Practitioners in all social sciences, especially financial economics, use confidence intervals to quantify the uncertainty in their estimates and predictions. Image Source: Wikimedia Commons.

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CIO Business Intelligence

FEBRUARY 20, 2025

This is due, on the one hand, to the uncertainty associated with handling confidential, sensitive data and, on the other hand, to a number of structural problems. If a database already exists, the available data must be tested and corrected. Aspects such as employee satisfaction and talent development are often neglected.

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CIO Business Intelligence

SEPTEMBER 19, 2023

How can enterprises attain these in the face of uncertainty? Rogers: This is one of two fundamental challenges of corporate innovation — managing innovation under high uncertainty and managing innovation far from the core — that I have studied in my work advising companies and try to tackle in my new book The Digital Transformation Roadmap.

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CIO Business Intelligence

JUNE 19, 2024

Everyone remembers the guesswork and uncertainty of the pandemic. Some academic medical centers (AMCs) and healthcare organizations already have processes in place to test and approve AI algorithms. Meanwhile, the huge bureaucracy associated with patient care and medical records will be automated by machines.

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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. Thriving amid uncertainty means staying flexible, he argues. . The coming months are a leadership test for CIOs, and it’s a pass/fail grade.”. Keep calm and lead on.

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CIO Business Intelligence

JUNE 22, 2022

For example, the consultant will seek to test the strength of their relationship with executive leadership against the strength of the program leadership team. This effectively drives a wedge of uncertainty between senior leadership and the project team, positioning the consultant with a higher degree of confidence entering negotiations.

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Jet Global

JANUARY 12, 2021

With the pace of change and uncertainty facing your business, is your current planning process fit for purpose? How to respond quickly and decisively to sudden events – by modeling and testing multiple different scenarios to determine the best outcome. Webinar Date: February 18, 2021 at 11 AM Local Time. Register Now.

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CIO Business Intelligence

JULY 11, 2024

To developers, OSSTest is an essential automated testing and quality checking system for anyone submitting code to the Xen Project’s open-source hypervisor. Last resort Technically, OSSTest is a gating Xen Project continuous integration (CI) loop, a complicated way of describing a shared system that replicates standalone testing tools of old.

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Jet Global

DECEMBER 10, 2020

To implement AI, you need four main resources: an algorithm, at least 15 years of data, massive amounts of data over that time period, and a way to test the algorithm and get feedback on its accuracy. The post Q&A with Chris Ortega: Dealing With Uncertainty Through Technology appeared first on insightsoftware.

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CIO Business Intelligence

JULY 23, 2024

Any government decision affecting the operations of the private sector could potentially stir uncertainty and raise concerns for these companies. The city also has R&D centers of major companies such as Samsung and IBM, making it a critical location.

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CIO Business Intelligence

JANUARY 11, 2024

CIOs are under increasing pressure to deliver AI across their enterprises – a new reality that, despite the hype, requires pragmatic approaches to testing, deploying, and managing the technologies responsibly to help their organizations work faster and smarter. The top brass is paying close attention.

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CIO Business Intelligence

SEPTEMBER 22, 2022

Two years on since the start of the pandemic, stress levels of tech and security executives are still elevated as global skills shortages, budget limitations and an ever faster and expanding security threat landscape test resilience. “In I realised this when I failed one of our internal phishing simulation tests,” she says. “I

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Smart Data Collective

SEPTEMBER 7, 2021

Data-based insights can help make the right decisions, keep up with market trends and navigate the uncertainty. Retailers can conduct A/B testing to find out which prices work the best. Big data in retail help companies understand their customers better and provide them with more personalized offers. Setting the optimal prices.

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CIO Business Intelligence

MAY 20, 2024

By our estimates , at least 50% if not around 70% of organizations have yet to fully automate their testing and build pipelines. Practices like test-driven development, refactoring, and pair programming give you the exact recipe to start with. How to do agile development right Speeding up release cycles can be surprisingly quick.

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CIO Business Intelligence

SEPTEMBER 6, 2023

Today’s business climate is rife with economic uncertainty that is causing IT leaders to do more with less while still innovating to support the business. They also tend to be stable and robust systems owing to thorough vendor testing and years in the market. However, there are some downsides to this ERP approach.

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Smart Data Collective

AUGUST 18, 2021

Fortunately, recruitment software and tools allow for data-driven decision-making that eliminates human bias and uncertainties, ultimately helping you make better decisions during the hiring process with greater accuracy and peace of mind. Speed up the recruitment process. Top talent is typically hired by recruiters within ten days.

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CIO Business Intelligence

FEBRUARY 26, 2024

He points to a recent observation from GitHub CEO Thomas Dohmke, who noted 40% of computer-generated code was adopted by developers beta testing its Copilot AI automated code-writing system. The test also cut programming time by 55%. “Many people believe this will increase to 80%,” Mehlkopf said. “If

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CIO Business Intelligence

SEPTEMBER 22, 2022

Seeing that remote working continues to be a pressing issue still finding its footing after nearly three years in beta testing, the work surrounding feasible solutions seems to compound as time goes on, with some intending a full return to office while others have forged the company future on remote models.

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Occam's Razor

APRIL 8, 2013

Sometimes, we escape the clutches of this sub optimal existence and do pick good metrics or engage in simple A/B testing. Testing out a new feature. Identify, hypothesize, test, react. But at the same time, they had to have a real test of an actual feature. You don’t need a beautiful beast to go out and test.

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Jet Global

MAY 19, 2020

However, even amid all the uncertainty of the pandemic, change is not a novel concept for successful businesses. Industry-leading CFOs shared their ideas on April 16, 2020, during insightsoftware’s webinar, How to Navigate Your Business Through This Uncertainty. Throughout history, companies have had to transform to thrive.

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CIO Business Intelligence

AUGUST 1, 2024

The implementation must not become a stalemate for companies: Long legal uncertainty , unclear responsibilities and complex bureaucratic processes in the implementation of the AI Act would hinder European AI innovation. From 2027, the requirements for AI in products subject to third-party testing will come into force.

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Cloudera

DECEMBER 3, 2021

Systems should be designed with bias, causality and uncertainty in mind. Uncertainty is a measure of our confidence in the predictions made by a system. We need to understand and provide the greatest human oversight on systems with the greatest levels of uncertainty. System Design. Human Judgement & Oversight.

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Mark Raskino

AUGUST 30, 2017

He was talking about something we call the ‘compound uncertainty’ that must be navigated when we want to test and introduce a real breakthrough digital business idea. You can connect social groups, economic groups and communities, which would be extraordinarily cumbersome and time-consuming in bigger societies”.

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CIO Business Intelligence

JANUARY 17, 2023

Shut down the testing environment when you’re not using it. With those four moves in mind, and in the drive to reduce costs amid ongoing uncertainty, CIOs may be tempted to cancel a project in its final stages to stop spend. So your usage and costs should be elastic, expanding and contracting with workload. An easy example?

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CIO Business Intelligence

AUGUST 26, 2024

In today’s IT landscape, organizations are confronted with the daunting task of managing complex and isolated multicloud infrastructures while being mindful of budget constraints and the need for rapid deployment—all against a backdrop of economic uncertainty and skills shortages.

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Domino Data Lab

MAY 15, 2019

Addressing the Uncertainty that ML Adds to Product Roadmaps. As ML projects are more experimental and probabilistic in nature, they have the potential to “add uncertainty to product roadmaps.” Here, Pete outlines common challenges and key questions for PMs to consider.

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CIO Business Intelligence

SEPTEMBER 13, 2023

Let them test, learn, and–as the teams individually and collectively build their generative AI knowledge and skills–start playing to win by deploying to prod. He specializes in removing fear, uncertainty, and doubt from strategic decision-making through empirical data and market sensing. And a good goal?

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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. For example, we may prefer one model to generate a range, but use a second scenario-based model to “stress test” the range.

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AWS Big Data

SEPTEMBER 5, 2024

Intuitively, for some extremely short user inputs, the vectors generated by dense vector models might have significant semantic uncertainty, where overlaying with a sparse vector model could be beneficial. load(split="test") ingest_dataset(corpus, aos_client=aos_client, index_name=index_name) 3. How to combine dense and sparse?

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CIO Business Intelligence

OCTOBER 8, 2024

The data science practices of testing and iterating, experimenting, and diagnosing the interplay of “what data you’ve chosen to use and why” in the context of “what are acceptable boundary conditions for success and failure” are on point. But genAI also means learning to build, operate, and work alongside non-deterministic systems.

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