I recently completed the latest edition of our Business Planning Buyers Guide, which reviews and assesses the offerings of 14 providers of this software. One of the points that I look at is whether and to what extent the software provider offers out-of-the-box external data useful for forecasting, planning, analysis and evaluation. What I discovered is that the availability of this type of vital information is exceedingly slim.
Read More
Topics:
Office of Finance,
Analytics,
Business Planning,
digital finance,
AI & Machine Learning,
Generative AI
Too often, enterprises find that data is distributed across multiple silos on-premises and in the cloud. More than two-thirds of participants in ISG’s Market Lens Cloud Study are using a hybrid architecture involving both on-premises and cloud infrastructure for analytics and artificial intelligence deployments. Unifying data to achieve operational and analytic objectives requires complex data integration and management processes. Fulfilling these processes requires a smorgasbord of tools aimed...
Read More
Topics:
AI,
AI & Machine Learning,
data platforms,
Generative AI,
Model Building and Large Language Models,
Data Intelligence,
Machine Learning Operations,
Analytics and Data
The breadth of customer experience (CX) solutions created by software providers in recent years has expanded into new areas, usually related or adjacent to existing, more traditional toolkits. Most providers in the space began as more-or-less pure play contact center software providers, so the CX toolset starts with that set of technologies. Products are grounded in core functions for service delivery, like interaction handling, labor management and customer tracking. Some software providers...
Read More
Topics:
Customer Experience,
Contact Center,
Customer Experience Management,
Generative AI,
CXM,
Pre-Hire Assessment,
Customer Success
Field service is an often-overlooked area of the service equation, in part because managing its operations involves tools and activities outside of normal contact center models. Field service has a communications component, which is partly handled by contact centers. However, the bulk of field service management activity has to do with organizing the work of technicians and dispatchers. It also requires constant attention to informational resources about products, assets, locations, real-time...
Read More
Topics:
Customer Experience,
Contact Center,
Field Service,
Generative AI,
Augmented Reality,
AR
The evolution from basic task automation platforms to advanced task orchestration and management marks a milestone in the journey toward Intelligent Automation. Task automation platforms initially enabled enterprises to automate repetitive tasks, freeing valuable human resources for more strategic activities. However, as the need for seamless coordination of multiple automated tasks becomes increasingly apparent, enterprises are transitioning toward orchestration approaches that enhance...
Read More
Topics:
Digital Technology,
RPA,
Generative AI,
Intelligent Automation,
Orchestration,
Bot
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
Software providers have identified “openness” as a key consideration for contact center buyers. Since there is no generally accepted rule about what makes a system open, it makes sense for us to examine what components contribute to that quality, and why it should be thought of as a good thing.
Read More
Topics:
Customer Experience,
Contact Center,
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
Generative AI (GenAI) software can transform various aspects of enterprise operations, which makes it a critical component of modern business strategies. GenAI tools can automate repetitive tasks such as data entry, report generation and customer interactions. GenAI can improve overall operational efficiency, resulting in time and cost savings for the organization. Another benefit from GenAI software is the ability to analyze vast amounts of data and extract actionable insights, enhancing...
Read More
Topics:
Playbook,
Digital Technology,
employee experience,
Customer Experience Management,
Intelligent Self-Service,
Generative AI,
Intelligent Automation,
Promptbook