Doing more with less is the defining characteristic of finance and accounting departments in midsize enterprises, which ISG research defines as organizations with between 100 and 999 workers. One frustrating truth confronting executives in these organizations is that, once their company stops being a small business, it has many of the same challenges that large enterprises face but with fewer resources to deal with them. Over the past two decades, advances in information technology have had the...
Read More
Topics:
Office of Finance,
Business Planning,
ERP and Continuous Accounting,
natural language processing,
digital finance,
Generative AI,
Procure-to-Pay,
Consolidate and Close Management
I recently attended Infor’s Velocity Summit, designed to showcase the latest versions of its CloudSuite ERP software. Also center stage were Infor’s advances in artificial intelligence and process mining as well as its environmental, social and governance application and supply chain optimization enhancements.
Read More
Topics:
Office of Finance,
ERP and Continuous Accounting,
natural language processing,
digital finance,
Sustainability Management,
AI & Machine Learning,
Continuous Supply Chain & ERP,
Generative AI
Agents are all the rage—and for a good reason. They are a way to automate work almost effortlessly so that repetitive and boring tasks get done with the least amount of effort on the part of the operator. In business, agents can be a boon for customer satisfaction and a way to improve worker productivity. They are alluring, with an almost unlimited number of potential use cases.
Read More
Topics:
Office of Finance,
Business Planning,
ERP and Continuous Accounting,
natural language processing,
digital finance,
Work Management,
Generative AI,
AI and Machine Learning,
Digital Applications,
Procure-to-Pay,
Order-to-Cash,
Consolidate and Close Management
As we celebrate the first half of what seems to be the year of generative artificial intelligence, with an apparently unlimited discussion of use cases and bogeymen, my attention is turning to the very mundane question of costs. Specifically, how costs incurred – through investment and operation – will be distributed along the value chain and how this will affect the demand for AI ‒ by whom and for what purpose. It’s a question that needs asking even though, at this stage in the market’s...
Read More
Topics:
Office of Finance,
Continuous Planning,
Business Planning,
Enterprise Resource Planning,
natural language processing,
digital finance,
Consolidate/Close/Report,
Continuous Supply Chain & ERP,
AI and Machine Learning
Early last December, just before ChatGPT became the new, bright, shiny object, The Economist magazine ran a story proclaiming that we had finally arrived at the age of boring artificial intelligence (AI). From my perspective, it’s unfortunate that didn’t last and that AI has been relegated back to the buzzword league. AI will be an increasingly important feature of business software through the end of this decade. Ventana Research asserts that by 2026, almost all vendors of software designed...
Read More
Topics:
Office of Finance,
Business Intelligence,
Business Planning,
Enterprise Resource Planning,
ERP and Continuous Accounting,
natural language processing,
continuous supply chain,
digital finance,
Purchasing/Sourcing/Payments,
Consolidate/Close/Report,
AI and Machine Learning
As with many IT innovations, augmented reality (AR), extended reality (XR) and the related topic of spatial computing had been discussed to death long before they became a practical reality. As a user interface, AR is already well understood in terms of its ability to open vast new vistas in entertainment as well as making physical tasks, such as machinery maintenance and warehouse pick-and-pack, far more efficient. In the case of spatial computing, by using glasses to superimpose workflow...
Read More
Topics:
Office of Finance,
Digital transformation,
natural language processing,
extended reality,
Digital Business,
robotic automation,
Collaborative & Conversational Computing
By itself, data isn’t useful for business; the application of analytics is necessary to transform data into actionable information. Data analysis of one sort or another has long been a core competence of finance departments, applied to balance sheets, income statements or cash flow statements. Today, however, Finance must go beyond these basics by expanding the scope of the data being examined to include all financial and operational information that can yield actionable insights. Analysis thus...
Read More
Topics:
Customer Experience,
Human Capital Management,
Marketing,
Voice of the Customer,
business intelligence,
embedded analytics,
Learning Management,
Analytics,
Collaboration,
Data Governance,
Data Lake,
Data Preparation,
Information Management,
Internet of Things,
Contact Center,
Data,
Product Information Management,
Sales Performance Management,
Workforce Management,
Financial Performance Management,
Price and Revenue Management,
Digital Technology,
Digital Marketing,
Digital Commerce,
ERP and Continuous Accounting,
blockchain,
natural language processing,
robotic finance,
Predictive Planning,
candidate engagement,
Intelligent CX,
Conversational Computing,
Continuous Payroll,
revenue and lease accounting,
collaborative computing,
mobile computing,
Subscription Management,
agent management,
extended reality,
AI and Machine Learning
For several years, I’ve commented on a range of emerging technologies that will have a profound impact on white-collar work in the coming decade. I’ve now coined the term “Robotic finance” to describe this emerging focus, which includes four key areas of technology: Artificial intelligence (AI) and machine learning (ML), robotic process automation (RPA), bots utilizing natural language processing, and blockchain distributed ledger technology (DLT), each of which I describe below. Robotic...
Read More
Topics:
ERP,
Machine Learning,
close,
Consolidation,
Continuous Accounting,
Reconciliation,
CFO,
Robotic Process Automation,
blockchain,
AI,
natural language processing,
Accounting
The application of artificial intelligence (AI) and machine learning (ML) to business computing will have a profound impact on white collar professions. This is especially true in heavily rules-based functions such as accounting. Companies recognize the transformational potential of AI and ML, but the progression and pace of the adoption of these technologies is unclear. Some applications of AI and ML are already in use but others are a decade or more away from replacing human tasks.
Read More
Topics:
Big Data,
Machine Learning,
Office of Finance,
Analytics,
CFO,
finance,
CEO,
AI,
AICPA,
natural language processing,
Accounting