There is a fundamental flaw in information technology, or at least in the way it is most commonly delivered. Most technology systems are developed under the assumption that all people will use the system primarily in the same way. Sure, there are some options built in — perhaps the same action can be initiated by either clicking on a button, selecting a menu item or invoking a keyboard short-cut. The problem is that when every variation needs to be coded into the system, the prospect of providing personalized software programs to every individual is impractical.
Data and Analytics Processes: Can We Get Personal?
Posted by
David Menninger on May 24, 2022 3:00:00 AM
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Topics: Business Intelligence, Data Management, natural language processing, AI and Machine Learning, data operations, Analytics & Data
Natural Language Processing Enables Self-service Analytics & BI
Posted by
David Menninger on Mar 2, 2022 3:00:00 AM
Natural language processing (NLP) is a field that combines artificial intelligence (AI), data science and linguistics that enables computers to understand, interpret and manipulate text or spoken words. NLP includes generating narratives based on a set of data values, using text or speech as inputs to access information, and analysing text or speech, for instance, to determine its sentiment. There are various techniques for interpreting human language, ranging from statistical and machine learning (ML) methods to rules-based and algorithmic approaches. In this perspective, we will focus on two aspects of NLP: natural language query (NLQ), which offers the ability to use natural language expressions to discover and understand data, and natural language generation (NLG), which uses AI to produce written or spoken narratives from a dataset. NLQ and NLG enable business personnel to communicate information needs with business intelligence (BI) systems more easily.
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Topics: Big Data, Analytics, natural language processing, NLP
Improving the State of Analytics in Organizations
Posted by
David Menninger on Feb 24, 2022 3:00:00 AM
Despite all the advances organizations have made with respect to analytics, our most recent research shows the majority of the workforce in the majority of organizations are not using analytics and business intelligence (BI). Less than one-quarter (23%) report that one-half or more of their workforce is using analytics and BI. This is a problem. It means organizations are not enabling their workforce to perform at peak efficiency and effectiveness. It means the workforce in many organizations does not have access to the same information by which they are being measured. It means organizations must find other ways to communicate with, and manage, the workforce.
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Topics: Sales, business intelligence, embedded analytics, Analytics, Data, Sales Performance Management, Digital Technology, Digital Commerce, natural language processing, subscription management, partner management, Revenue Management, Sales Engagement, Collaborative & Conversational Computing
The 2022 Market Agenda for Analytics: Enabling Actions and Effective Insights
Posted by
David Menninger on Feb 3, 2022 3:00:00 AM
Ventana Research recently announced its 2022 Market Agenda for Analytics, continuing the guidance we have offered for nearly two decades to help organizations derive optimal value from technology investments in order to improve business outcomes.
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Topics: embedded analytics, Analytics, Business Intelligence, Digital Technology, natural language processing, Process Mining, Analytics & Data, Collaborative & Conversational Computing
Augmented Reality Will Evolutionize Business Computing
Posted by
Robert Kugel on Jan 25, 2022 3:00:00 AM
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 directions, instructional videos, messages and the like onto the three-dimensional world, individuals can complete tasks faster with little formal training and make fewer errors in the process. So, long before these AR devices, tools and their related UI techniques are adapted to create a new era of immersive business computing, here are some thoughts on this idea.
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Topics: Office of Finance, Digital transformation, natural language processing, extended reality, Digital Business, robotic automation, Collaborative & Conversational Computing
