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 I explained in our recent Buyers Guide for Data Platforms, the popularization of generative artificial intelligence (GenAI) has had a significant impact on the requirements for data platforms in the last 18 months. While there is an ongoing need for data platforms to support data warehousing workloads involving analytic reports and dashboards, there is increasing demand for analytic data platform providers to add dedicated functionality for data engineering, including the development,...
Read More
Topics:
Analytics,
natural language processing,
data platforms,
Generative AI,
AI and Machine Learning,
Model Building and Large Language Models,
Machine Learning Operations
The latest ISG Buyers Guide for Cloud Computing Platforms uncovers the market evolution of regional and global cloud providers. Buyers Guides for Public Cloud Platforms, Private Cloud Platforms and Hybrid Cloud Platforms are part of the recent software provider evaluations. ISG Software Research defines Cloud Platforms as a software service for organizations to access virtualized IT resources via the internet on a pay-per-use basis. These resources include servers, data processing power, data...
Read More
Topics:
Cloud Computing,
Digital Technology,
natural language processing,
Multi-Cloud,
ITOps,
Hybrid Cloud Platforms,
Accessibility,
Orchestration,
Sovereign Cloud
ServiceNow is a global software provider that has developed a cloud computing platform that helps organizations manage digital workflows for enterprise operations. The provider uses its annual Knowledge user conference to educate customers and showcase product announcements. Ventana Research had the opportunity to attend the Knowledge 2024 event and provides this analyst perspective to summarize what transpired.
Read More
Topics:
IT Service Management,
Digital Technology,
natural language processing,
Digital Security,
Field Service,
Generative AI,
AI and Machine Learning,
Observability,
Intelligent Automation,
ITOps
The emergence of generative artificial intelligence (GenAI) has significant implications at all levels of the technology stack, not least analytics and data products, which serve to support the development, training and deployment of GenAI models, and also stand to benefit from the advances in automation enabled by GenAI. The intersection of analytics and data and GenAI was a significant focus of the recent Google Cloud Next ’24 event. My colleague David Menninger has already outlined the key...
Read More
Topics:
Analytics,
AI,
natural language processing,
data platforms,
Generative AI,
AI and Machine Learning
The artificial intelligence (AI) market is exploding with activity, which is part of the reason we recently announced that we have dedicated an entire practice at Ventana Research to the topic. Large language models (LLMs) and generative AI (GenAI) have taken the AI world by storm. In fact, we assert that through 2026, one-half of all AI investments will be based on generative rather than predictive AI. My colleague Rob Kugel has written about how AI can improve productivity and benefit the...
Read More
Topics:
AI,
natural language processing,
Analytics & Data,
Generative AI,
AI and Machine Learning
I recently attended the Salesforce Trailblazer DX event to learn more about Salesforce’s artificial intelligence products and strategy. Fueled by generative AI, awareness and investment in AI seems to be exploding. ISG research shows that enterprises plan to nearly triple the portion of budgets allocated to AI over the next two years. This doesn’t come as a big surprise when you look at the outcomes enterprises are achieving: Of those that have invested in AI, more than 8 in 10 (84%) have had...
Read More
Topics:
AI,
natural language processing,
Generative AI,
Computer Vision,
Model Building and Large Language Models,
Deep Learning,
Machine Learning Operations
The first wave of discussions around artificial intelligence (AI) in the contact center was focused on providing software buyers with a general understanding of what the technology could do. Now the conversations are becoming more specific, focused and direct. Buyers are more aware of the spectrum of available use cases and appear to be exploring how to map new tools to the particular business problems they face. Contact center buyers are approaching new technology deployments (or enhancements...
Read More
Topics:
Customer Experience,
Contact Center,
AI,
natural language processing,
agent management,
Intelligent Self-Service,
Generative AI,
Computer Vision