Salesforce says customer data possibly exposed following incident

Salesforce said Thursday it is investigating “unusual activity” involving Gainsight-published applications that may have ...

Don’t Rely on Instinct to Make Hiring Decisions — Use This Smart Strategy Instead

When you move from gut to data, you gain clarity and make better hires over time. You’ll make fewer mis-hires (which can cost ...
American Banker

Banks face challenges ahead of Saturday's ISO 20022 deadline

The migration to the standard and its more robust data is underway, but experts say the desired reduction in payment errors ...
International Association of Privacy ProfessionalsOpinion

Even exempt organizations need to be data mapping: Here's why

AMBART LAW's Maria Cannon writes data mapping is a smart choice for any organization looking to maximize efficiency, reduce ...

Microsoft updates database portfolio and adds open-source offerings

Microsoft Corp. today is introducing updates across its database portfolio as part of general availability announcements for Azure DocumentDB and SQL Server 2025.
Business of Home on MSN

Your ideal client is out there. Here’s how to find them

There are certain types of projects that bring out a designer’s best work. How do you discover what those are for your firm?
InvestmentNews

Why Storytelling Matters in Advisor-Client Relationships

Todd Bryant, CFP®, ChFC®, CLU®, AIF®, reveals how authentic stories—not just numbers—create lasting connections and trust ...
IEEE

Overcoming Client Data Deficiency in Federated Learning by Exploiting Unlabeled Data on the Server

Abstract: Federated Learning (FL) is a distributed machine learning paradigm involving multiple clients to train a server model. In practice, clients often possess limited data and are not always ...
GitHub

client-side-data

This repository contain the sample that proves that the Syncfusion Pivot table is capable of loading and displaying a million records instantly and perform scrolling without any performance lag.
IEEE

Graph-Based Joint Client Clustering and Resource Allocation for Wireless Distributed Learning: A New Hierarchical Federated Learning Framework With Non-IID Data

Abstract: Hierarchical federated learning (HFL) is a key technology enabling distributed learning with reduced communication overhead. However, practical HFL systems encounter two major challenges: ...