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Most notably, The Future of Life Institute published an open letter calling for an immediate pause in advanced AI research , asking: “Should we let machines flood our information channels with propaganda and untruth? If every company had a different way of reporting its finances, it would be impossible to regulate them.
The responses show a surfeit of concerns around data quality and some uncertainty about how best to address those concerns. Just 20% of organizations publish data provenance and data lineage. It’s more complicated than that—with more than half of respondents reporting at least four data quality issues.
In the face of unprecedented uncertainty, the question is how to quickly evaluate risk, opportunities and competitively allocate capital. At the fund level, great uncertainty demands continual strategic and portfolio reviews to manage liquidity, identify assets at risk, and understand growth challenges. Pinpoint opportunities.
The auditor’s report contained both good news and bad news. AI and Uncertainty. Some people react to the uncertainty with fear and suspicion. Recently published research addressed the question of “ When Does Uncertainty Matter?: Understanding the Impact of Predictive Uncertainty in ML Assisted Decision Making.”.
It’s been one year since we’ve started publishing the Alation State of Data Culture report, and uncertainty still remains the only sure thing. The Alation State of Data Culture Report provides a quarterly assessment of the progress enterprises have made in creating a data culture.
Last year, Xiafei Li and his two colleagues in China published a study in the Annals of Operations Research on the ability to forecast stock market volatility with predictive analytics models. Sites like Stock Market Eye take all of the guesswork out of investment portfolio reporting.
The text of the EU AI Act was published in the Official Journal of the EU on July 12, 2024, and the set of rules around the development and use of AI tools officially entered force at the beginning of August. AI regulation in the European Union is getting serious.
Columbia University professor David Rogers, author of Digital Transformation Playbook and The Digital Transformation Roadmap , published in September, says it doesn’t have to be that way. How can enterprises attain these in the face of uncertainty? Where does the CIO role fit in the scheme of things?
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.
Gartner’s Data and Analytics leaders team, led by Mike Rollings, just published a new Special Report: Cost Optimization and Risk Reduction Approaches for Data and Analytics Leaders: A Gartner Trend Insight Report. Jarring economic disruption and uncertainty makes the road ahead difficult to anticipate.
When an application or service performs an action or undergoes a change, it publishes an event—a real-time record of that action or change. An event-driven architecture focuses on the publication, capture, processing and storage of events.
Given this timeframe, the OECD has recently published a report with the aim of assisting transfer pricing teams on best practices to follow given the current climate. She added that, for taxpayers, these challenges create increased uncertainty. This is a key factor when considering and interpreting the content of the report.
Unfortunately, every time a breach like this is reported, the security community is bombarded with pseudo-silver bullets claiming how the compromise could have been averted if only a particular solution had been deployed. In this recent OKTA breach, no reports suggest major incidents so far. To learn more, visit us here.
In fact, the Foundry’s recently published Cloud Computing Study (2022) found that 84% of organizations have at least one application, or a portion of their computing infrastructure already in the cloud. All of this is a deviation from traditional on-premise computing which is done via a local server or personal computer.
Tax planning is playing an increasingly important part in corporates’ enterprise resource management (ERM) strategies, driven by the many uncertainties created by political, economic, and pandemic-related trends. Why Boards are Paying More Attention to Their Firm’s Tax Planning Activities. The Role of Tax Teams.
Google built an innovative scale-out platform for data storage and analysis in the late 1990s and early 2000s, and published research papers about their work. Rob Bearden from Hortonworks has written up a post sharing his thoughts, as well. First, remember the history of Apache Hadoop. Forward-Looking Statements.
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The inability to dig deeper into reports, time-consuming manual verification and uploading of data, and the prevalent use of spreadsheets not designed for collaboration make the answer unnervingly complex. But as the current market uncertainty continues, CFOs need to refresh their approach to achieving cash and cost transparency.
The article notes this as cognitive uncertainty. But it happens to relate closely to our analysis of business metrics and ROI being used to justify investment and report success. Maybe finally we can break through the cognitive uncertainty bias and away from 50:50. What is so special about a 50:50 (or 0.5p) probability?
So, without further ado, it is with great delight that we officially publish the 2021 Data Impact Award winners! This, in turn, has had a positive impact on innovation and decision-making aimed at improving customer services and reporting. . Data Lifecycle Connection. Industry Transformation.
We also examine the uncertainties that lie ahead in international tax regimes, the power that automation and analytics will deliver to tax teams, and the outcomes of implementing tax software, which will enhance the strategic contribution that tax teams are able to make. Improve overall financial reporting and forecasts.
I successfully attracted Automattic’s attention with a post I published on the misuse of the word insights by many tech companies , which included an example from WordPress.com. While some people may find this kind of uncertainty daunting, I find it interesting, as it is one of the things that makes data science a science.
Without robust in-house expertise and support to build the necessary dashboards and run queries, many institutions are instead forced to rely on canned reports that can’t be customized. This insight can inform future partnerships, and reduce uncertainty about which services will be most relevant and useful.
Data is ingested, processed, transformed (perhaps for a specific report or to be stored in a traditional database), and then the raw or partially processed data is discarded. Approximately duplicated data sets may introduce uncertainty about data quality. And the problem is not just a matter of too many copies of data.
Given that the article is published in the Exchange section those implications are related to business and finance. The second article looks at the recent jobs market and reports that in February 379,000 jobs were added in the US. How do we frame our short-term decisions given all these uncertainties?
Companies like Google [2], Amazon [3], and Microsoft [4] have all published scholarly articles on this topic. For this reason we don’t reportuncertainty measures or statistical significance in the results of the simulation. MAB algorithms are popular across many of the large web companies.
These normally appear at the end of an article, but it seemed to make sense to start with them in this case: Recently I published Building Momentum – How to begin becoming a Data-driven Organisation. Unless a reported figure, or output of a model, leads to action being taken, it is essentially useless. Up-front Acknowledgements.
Some of these are referenced by The Atlantic in an article (which, in turn, cites a study published by The Royal Society entitled The impact of the ‘open’ workspace on human collaboration ): “If you’re under 40, you might have never experienced the joy of walls at work. King was a wise King, but now he was gripped with uncertainty.
The data consist of the weekly initial claims for unemployment insurance in the US, as reported by the US Federal Reserve. At the end of the week, the economic activity determining these numbers has taken place, but the official numbers are not published until several days later.
Spark has emerged as the general-purpose data processing engine of choice; interest in Hadoop is waning, although reports of its death are greatly exaggerated. In the third place, there’s uncertainty about what to do with all of this data. Nor is big data itself a topic of controversy, confusion, uncertainty, or, even, ignorance.
If you look into the middle bucket, they have three things that they report in common. Now, working down to the mature part of this, they report two things in common. What do they report in common? It was also the year, 2001, when “ Agile Manifesto ” was published. You know what? and that gap is widening.
Amanda said, “There are different points in which we make decisions about how and what we visualize, and then how we publish and share. We’re seeing that come out more and more in some of the retroactive reporting being done in countries that are farther along in their epidemic curves. We can’t always quantify that uncertainty.
On the 29th of October 2020, the WHO reported 44,002,003 confirmed cases. Worldometer which John Hopkins base their figures on, reported 44,860,215 cases. This large gap between reported figures raises tough questions on the reliability of COVID-19 tracking data. 858,212 is a big number – a whole island.
The user can enter information about a proposed film project and receive a report on the riskiness of the project. I wanted to note that my technique to predict ROI and ROI uncertainty is designed to supplement but not supplant the creative decision-making process. Input page for ReelRisk. and even set their risk tolerance.
Some KPIs are too detailed to be reported to top management, and some KPIs are too general for middle managers and supervisors. Leading indicators predict performance whereas lagging indicators report on it. Using a BI software will help unify the information and ensure that your team always has access to the latest reports.
The 2020s have been a decade marked by uncertainty. The uncertainty we’ve faced these past few years doesn’t appear to be going away anytime soon, and businesses need to be able to not only respond quickly to change, but to actively plan for it.
Due to the Infrastructure Investment and Jobs Act of 2022 in the United States, nonresidential construction is expected to continue expanding despite expected uncertainty in 2023. According to Oxford Economics’ Future of Construction Report , the construction market is expected to grow by $4.5 trillion worldwide by 2030.
Inflation, economic uncertainty, and swiftly-changing regulations significantly impact finance professionals. Using the reporting tools ERPs provide can help streamline workflows and reduce timelines, but they’re often too rigid to offer the tailored reporting capabilities organizations need to answer specific business questions.
While Sage Intacct’s native reporting capabilities provide a strong foundation, finance teams often face limitations when tackling complex analyses or navigating evolving information needs. By exploring alternative approaches and leveraging additional tools, Sage Intacct users can unlock a world of enhanced reporting flexibility.
Continued uncertainty about the future prompting them to retire earlier than they might have otherwise. Empower Your Remote Finance Team with Excel Based Reporting. Many organizations routinely perform ad hoc analysis and financial reporting using Microsoft Excel. Many of the baby boomers employed in finance have already left.
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The shifting landscape of tax reporting is more complex than ever. As a European organization with US operations, or a US-based company that operates in multiple states, you are now facing an increasing demand for state-by-state provision reporting, rather than the traditional blended rate method.
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