Alvarez & Marsal
Machine Learning Accuracy Assessment and How to Improve Outputs
Those who trust too much and those who don’t trust machine learning enough will both miss out on potentially better accuracy.
Selecting and Preparing Data for Machine Learning Projects
Data is the foundation of any machine learning model. Here's how to deal with bias, cross-contamination, and non-numeric inputs.
The Two Faces of Private Equity
Host Analytics' CFO makes a case for private equity, recalibrates the software company's business focus, and sets a six-point agenda for his finance team.
What Kind of Problems Can Machine Learning Solve?
Understanding how to work with machine learning models is crucial for making informed investment decisions.
How to Avoid Cross-Border M&A Tax Pitfalls
A number of trends are converging, and U.S. tax reform will make navigating them more complex.
Sizing Up the New Hedge Accounting Rules
Companies should start preparing soon for the changes slated to take effect in late 2018.
Rope Tightens Around Global Tax Avoidance
Changes in international tax laws spurred by the OECD's BEPS project pose challenges for finance chiefs, but also offer some opportunities.
Memo to Hurting Retailers: Redo Comp Plans ASAP
The bankruptcy process will be smoother if compensation programs are rethought early on.
This Year’s Interest Rate Hikes Won’t Stifle M&A
A number of other coinciding economic factors likely ensure that 2017 will be another strong year for dealmaking.
Planning in the Face of Tax-Credit Uncertainty
While it's likely that the research credit and other credits will be renewed, it's not a sure thing. Here's how to hedge your bets.
Why Big Projects Go Bad
Two key mistakes: getting time and cost estimates from project advocates, and evaluating big projects like small ones.