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Interest in artificial intelligence (AI) is exploding driven in large part by the widespread interest in generative AI. ISG’s AI Buyer Behavior Survey reported that more than 6 in 10 participants have at least one AI application in production. However, despite the ease with which individuals can use AI as a result of natural language processing, creating and managing AI models is still a...

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Topics: Data Science, AI, Analytics and Data, AI and Machine Learning


Cloud computing has had an enormous impact on the analytics and data industry in recent decades, with the on-demand provisioning of computational resources providing new opportunities for enterprises to lower costs and increase efficiency. Two-thirds of participants in Ventana Research’s Data Lakes Dynamic Insightsresearch are using a cloud-based environment as the primary data platform for...

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Topics: Analytics, AI, Analytics and Data, AI and Machine Learning


Zoho recently held its annual analyst day to communicate its strategy, objectives and product roadmap. The privately held company, headquartered in Chennai, Tamil Nadu, India, has an unconventional approach to the software market. Its self-described corporate philosophy emphasizes making bold moves that challenge assumptions. Its design engineering approach stresses simplicity and cost while...

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Topics: Office of Finance, Voice of the Customer, Digital Commerce, ERP and Continuous Accounting, Order-to-Cash


It is well known that data integration, transformation and preparation represent a significant proportion of the time and effort required in any analytics project. Traditionally, operational data platforms are designed to store, manage, and process data to support worker-, customer- and partner-facing operational applications, and data is then extracted, transformed, and loaded (or “ETLed”) into...

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Topics: Analytics and Data


Cyber threats are becoming more sophisticated and pervasive, posing a major challenge for CIOs and IT leaders. To protect their digital assets and drive business growth, they need a new approach to security: Continuous Threat Exposure Management (CTEM). CTEM software continuously monitors and manages the enterprise’s exposure to cyber risks, enabling a swift and effective response to any security...

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Topics: Digital Technology


After a year of near-constant AI chatter, the broad strokes of how the technology will roll out in business over the next three to five years are coming into place. It’s almost trite but worth repeating that artificial intelligence will drive a substantial boost in productivity as it’s adopted. Rather than making large swathes of jobs obsolete, it will take the robotic work out of those job...

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Topics: Office of Finance, Business Planning, ERP and Continuous Accounting, AI, Order-to-Cash


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...

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


With a year of AI-everywhere-all-the-time chatter now in the rearview mirror, finance and accounting department executives appear to be in a state of apprehension and well-tuned skepticism about the impact this technology will have on their organization. There are solid reasons to believe that the next few years will be transformative, making it important for departments to adopt a fast-follower...

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Topics: Office of Finance, Business Planning, ERP and Continuous Accounting, Order-to-Cash


I have previously written about the impact of intelligent operational applications on the requirements for data platforms. Intelligent applications are used to run the business but also deliver personalization, recommendations and other features generated by machine learning and artificial intelligence. As such, they require a combination of operational and analytic processing functionality. The...

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Topics: Analytics, Artificial intelligence, Analytics and Data, AI and Machine Learning


We live in an era of uncertainty, not unpredictability. Managing in uncertain times is always difficult, but tools are available to improve the odds for success by making it easier and faster to plan for contingencies and scenarios. Software makes it possible to manage ahead of any future event, connecting the tactical trees to the strategic forest. The purpose of planning is not just to create a...

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Topics: Office of Finance, Continuous Planning, Data Management, Business Planning, data operations, AI and Machine Learning


Unstructured data has been a significant factor in data lakes and analytics for some time. Twelve years ago, nearly a third of enterprises were working with large amounts of unstructured data. As I’ve pointed out previously, unstructured data is really a misnomer. The data is structured; it's just not structured into rows and columns that fit neatly into a relational table like much of the other...

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Topics: Artificial intelligence, Computer Vision, Analytics and Data, AI and Machine Learning


Digitally transforming finance operations has been a priority since 2020. For purchasing and the procure-to-pay cycle, software can streamline processes, shorten process times, reduce unnecessary costs, provide greater visibility into cash flows, increase control and improve results. Digitizing operations helps attract and retain the best talent because professionals spend less time on...

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Topics: Office of Finance, Continuous Planning, Business Planning, Supplier Relationship Management, Continuous Supply Chain & ERP


The migration of on-premises applications to the cloud has become more than just a technological shift; it’s a strategic imperative for enterprises. This transition, driven by the need for competitiveness, agility and responsiveness in a rapidly evolving business environment that operates at the speed of digital, is not a simple task. It requires a careful balance between the technology roadmap...

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Topics: Cloud Computing, Digital Technology


The increasing importance of intelligent operational applications driven by artificial intelligence (AI) is blurring the lines that have traditionally divided the requirements between operational and analytic data platforms. Operational data platforms have traditionally been deployed to support applications targeted at business users and decision-makers to run the business, with analytic data...

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Topics: embedded analytics, Analytics, Cloud Computing, analytic data platforms, Analytics and Data


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,...

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


Revenue and sales performance used to be the preserve of a few software providers as many enterprises made do with in-house solutions, often built on the ubiquitous spreadsheet. But increasingly managing revenue and sales performance is becoming too complex as business models are changing in response to customer behavior.

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Topics: Revenue Performance Management, Office of Revenue


Ventana Research recently announced its 2024 Market Agenda for Human Capital Management, continuing the guidance we have offered for two decades to help enterprises derive maximum potential from workforce- and people-related technology investments and initiatives. In crafting this Market Agenda, we focused on essential themes that are critical for HR organizations and for the software providers...

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Topics: Human Capital Management, Learning Management, Talent Management, Workforce Management, Payroll Management, Total Compensation Management, employee experience


We are going through an analytics revolution in and around contact centers. There is more data to analyze and better tools to conduct the analysis. One important advancement is assessing customer sentiment and using it to predict (and influence) behavior. Enterprises are using customer experience programs to identify and act upon hidden "moments of leverage" where customers may be inclined or...

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Topics: Customer Experience, Voice of the Customer, Contact Center


I am excited to announce that I have joined Ventana Research and ISG to lead coverage of the Human Capital Management technology practice, including Continuous Payroll, Employee Experience, Learning Management, Talent Management, Total Compensation Management and Workforce Management. 

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Topics: Human Capital Management


I have previously written about thefunctional evolutionandemerging use casesfor NoSQL databases, a category of non-relational databases that first emerged 15 or so years ago and are now well established as potential alternatives to relational databases. NoSQL is a term used to describe a variety of databases that fall into four primary functional categories: key-value stores, wide-column...

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Topics: Data, data operations


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