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Report: Audit Industry Rising to the Data Analytics Challenge

With businesses facing the strongest economic headwinds in years, the Chartered Institute of Internal Auditors (Chartered IIA) is urging internal auditors to embrace data analytics to navigate more risky, uncertain, and volatile times ahead. The new report, “Embracing data analytics: Ensuring internal audit’s relevance in a data-led world,” from Chartered IIA in partnership with AuditBoard aims to encourage internal audit to fully embrace data analytics and support the organization in doing the same.

Chung-Ang University Researchers Develop Algorithm for Optimal Decision Making under Heavy-tailed Noisy Rewards

Researchers from South Korean Chung-Ang University propose methods that theoretically guarantee minimal loss for worst case scenarios with minimal prior information for heavy-tailed reward distributions.

Machine Learning Career Path: Exploring Opportunities in 2022 and Beyond

In this special guest feature, George Tsagas, Owner of eMathZone, discusses how machine learning professionals can work as data scientists, computer engineers, robotics engineers, or managers. But if you want to make a career, the first step in finding opportunities in the field of machine learning is to understand the different types of jobs and skills needed.

AI Hiring Experts on President Biden’s AI Bill of Rights

A recent interdisciplinary study from NYU Tandon researchers explores the issue of accountable AI. The study reveals how resume format, LinkedIn URLs and other unexpected factors can influence AI personality prediction and affect hiring.

The Move Toward Green Machine Learning

A new study suggests tactics for machine learning engineers to cut their carbon emissions. Led by David Patterson, researchers at Google and UC Berkeley found that AI developers can shrink a model’s carbon footprint a thousand-fold by streamlining architecture, upgrading hardware, and using efficient data centers. 

Data Science: U-M Partners with Google to Offer Job-ready Tech Skills Program 

A new flexible online training program on data science will prepare job-seekers in Michigan and beyond to quickly enter one of the fastest-growing labor markets and advance their careers. The University of Michigan’s Center for Academic Innovation created the program, “Data Analytics in the Public Sector with R,” for data science and other professionals interested in how public data sets can drive decisions and policymaking in the public sector. The course complements current Google career certificates, flexible online “Grow with Google” job-training programs for high-demand fields.

Synthesized Solidifies its Partnership with Deutsche Bank, Providing High-quality Synthetic Data for AI and ML Testing Purposes

Synthesized Ltd, a leading synthetic data generation platform, which provides engineering and data science teams a quick way to create and share trusted data through advanced machine learning and automation, announced that Deutsche Bank is investing in its next phase of growth and technology innovation development. 

How Artificial Intelligence Can Improve Coding Audits

In this contributed article, Jacob Wilkinson, Director, Product Management at VisiQuate, takes a look at how medical coding audits are complex, time-consuming, and costly processes that historically have required significant investment of manual resources to complete, but, more recently, advances in artificial intelligence have made audits more efficient, accurate, and cost-effective. 

NVIDIA Launches Large Language Model Cloud Services

NVIDIA today announced two new large language model cloud AI services — the NVIDIA NeMo Large Language Model Service and the NVIDIA BioNeMo LLM Service — that enable developers to easily adapt LLMs and deploy customized AI applications for content generation, text summarization, chatbots, code development, as well as protein structure and biomolecular property predictions, and more.

ACH Fraud and AI/ML – Much Work to be Done

In this article, I give focus to the situation with the financial services industry embracing AI/ML to a high degree in so many areas, one would think AI/ML would be used to detect and prevent ACH fraud, but this is not generally the case. Even the largest banking institutions seem to wash their hands with regards to ACH fraud, leaving their customers to absorb the losses.