ISG Software Research Analyst Perspectives | natural language processing

Gaining Financial Management Effectiveness in Midsize Enterprises

Posted by Robert Kugel on 15 May 2025

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... Read More

Topics: Office of Finance, Business Planning, ERP and Continuous Accounting, natural language processing, Procure-to-Pay

The State of Conversational Software Using Automation and AI

Posted by Jeff Orr on 06 March 2025

Conversational automation leverages artificial intelligence (AI)-powered agents, chatbots and virtual assistants to automate both customer interactions and internal processes. These systems understand natural language, sentiment and intent, generating relevant responses and executing actions based on user input. The software provider landscape is analyzed in the ISG Buyers Guide for... Read More

Topics: Self-service, natural language processing, Chatbots, Conversational Automation

Domo Enables Data Integration, Analytics and AI

Posted by Matt Aslett on 05 March 2025

As enterprises seek to expand and accelerate the adoption of artificial intelligence (AI) many are finding that longstanding analytics and data challenges are a barrier to success. As was explained in ISG’s State of Generative AI Market Report, AI requires data that is clean, well-organized and compliant with regulatory standards. The need for good data management is by no means new, but the... Read More

Topics: Machine Learning, Analytics, Data, Artificial intelligence, natural language processing

Infor’s Velocity Summit Highlights Multiple Advances and Enhancements

Posted by Robert Kugel on 12 November 2024

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. The company provides industry-specific enterprise software that enhances business... Read More

Topics: Office of Finance, ERP and Continuous Accounting, natural language processing, AI and Machine Learning, Continuous Supply Chain & ERP

Generative Automation: An Alternative for Process Optimization

Posted by Robert Kugel on 05 November 2024

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. However, as... Read More

Topics: Office of Finance, Business Planning, ERP and Continuous Accounting, natural language processing, AI and Machine Learning, Digital Applications, Order-to-Cash

Snowflake Offers a Platform for AI as well as Data

Posted by Matt Aslett on 19 September 2024

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... Read More

Topics: Analytics, natural language processing, AI and Machine Learning

Cloud Platforms and Accessibility Hurdles

Posted by Jeff Orr on 22 August 2024

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... Read More

Topics: Cloud Computing, Digital Technology, natural language processing, ITOps, Accessibility, Hybrid Cloud Platforms

ServiceNow Puts AI to Work at Knowledge 2024 Conference

Posted by Jeff Orr on 17 June 2024

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... Read More

Topics: IT Service Management, Digital Technology, natural language processing, AI and Machine Learning

Google Advances Cloud Data Platforms and Analytics Services with GenAI

Posted by Matt Aslett on 05 June 2024

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... Read More

Topics: Analytics, AI, natural language processing, AI and Machine Learning

Google Expands AI Capabilities at Cloud Next ’24

Posted by David Menninger on 09 May 2024

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... Read More

Topics: AI, natural language processing, Analytics and Data, AI and Machine Learning

Salesforce Wants Everyone to be an Einstein with AI

Posted by David Menninger on 11 April 2024

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... Read More

Topics: AI, natural language processing, Deep Learning, Model Building and Large Language Models, Computer Vision

Uniphore Puts AI to Work Automating Interactions

Posted by Keith Dawson on 05 March 2024

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... Read More

Topics: Customer Experience, Contact Center, AI, natural language processing, agent management

Generative AI Makes Natural Language Analytics a Reality

Posted by David Menninger on 13 February 2024

We’ve been saying for years that natural language processing (NLP) and natural language analytics would greatly expand access to analytics. However, prior to the explosion of generative AI (GenAI), software providers had struggled to bring robust natural language capabilities to market. It required considerable manual effort. Many analytics providers had introduced natural language capabilities,... Read More

Topics: business intelligence, Artificial intelligence, natural language processing, Analytics and Data

2024 Market Agenda for Artificial Intelligence: Improving Productivity and Experiences

Posted by David Menninger on 02 February 2024

Ventana Research recently announced its 2024 Market Agenda for Artificial Intelligence, continuing the guidance we have offered for two decades to help enterprises derive optimal value from technology and improve business outcomes. The application of artificial intelligence and machine learning within enterprises is transforming analytics. Opportunities to take advantage of these technologies... Read More

Topics: Artificial intelligence, natural language processing, Model Building and Large Language Models, Computer Vision

2024 Market Agenda for Analytics and Data: Automating Intelligence

Posted by Matt Aslett on 26 January 2024

Ventana Research recently announced its 2024 Market Agenda for Analytics and Data, continuing the guidance we have offered for two decades to help enterprises derive optimal value and improve business outcomes. Enterprises of all sizes in all industries and geographies strive to improve efficiency, productivity and customer experiences through analytics and data. Doing so relies on the ability to... Read More

Topics: embedded analytics, Analytics, Business Intelligence, Data Governance, Data Management, natural language processing, data operations, Process Mining, Streaming Analytics, Streaming Data Events, analytic data platforms, Analytics and Data

Vector Search and RAG Improve Trust in Generative AI

Posted by Matt Aslett on 31 October 2023

I previously discussed the trust and accuracy limitations of large language models, suggesting that data and analytics vendors provide guidance about potentially inaccurate results and the risks of creating a misplaced level of trust. In the months that have followed, we are seeing some clarity from these vendors about the approaches organizations can take to increase trust and accuracy when... Read More

Topics: Analytics, Business Intelligence, Data, Digital Technology, natural language processing, data operations, analytic data platforms, Analytics and Data

IBM’s Watsonx Provides a Foundation for Generative AI

Posted by Matt Aslett on 09 August 2023

It is a mark of the rapid, current pace of development in artificial intelligence (AI) that machine learning (ML) models, until recently considered state of the art, are now routinely being referred to by developers and vendors as “traditional.” Generative AI, and large language models (LLMs) in particular, have taken the AI world by storm in the past year, automating and accelerating the... Read More

Topics: Analytics, Business Intelligence, Cloud Computing, Data Governance, Data, Digital Technology, natural language processing, analytic data platforms, Analytics and Data, AI and Machine Learning

The Question of Generative AI Costs

Posted by Robert Kugel on 25 July 2023

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... Read More

Topics: Office of Finance, Continuous Planning, Business Planning, Enterprise Resource Planning, natural language processing, AI and Machine Learning, Continuous Supply Chain & ERP

Harnessing Generative AI: Fueling Collaboration and Conversation

Posted by Jeff Orr on 14 June 2023

A lot has been written about the definition of generative artificial intelligence (AI) and large language models (LLMs), though less has been written about the business considerations for an organization to evaluate adopting and implementing these technologies. And more importantly, does the technology align with the Office of the CIO objectives and the goals of the business? The value of... Read More

Topics: Digital Technology, natural language processing, Collaborative & Conversational Computing, AI and Machine Learning

Large Language Models and Generative AI: Beware Misplaced Trust

Posted by Matt Aslett on 06 June 2023

The data and analytics sector rightly places great importance on data quality: Almost two-thirds (64%) of participants in Ventana Research’s Analytics and Data Benchmark Research cite reviewing data for quality and consistency issues as the most time-consuming task in analyzing data. Data and analytics vendors would not recommend that customers use tools known to have data quality problems. It is... Read More

Topics: Analytics, Data Governance, Data Management, Data, Digital Technology, natural language processing, Analytics and Data, AI and Machine Learning