ISG Software Research Analyst Perspectives

As Interest in AI Scales, So Does Domino Data Lab

Posted by David Menninger on 13 March 2024

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... Read More

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

Teradata Encourages AI and Analytics Experimentation

Posted by Matt Aslett on 13 March 2024

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 Insights research are using a cloud-based environment as the primary data platform for... Read More

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

Zero-ETL Enables Real-Time Analytics on Single-Source Data

Posted by Matt Aslett on 07 March 2024

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... Read More

Topics: Analytics and Data

Couchbase Addresses Real-Time Analytics

Posted by Matt Aslett on 27 February 2024

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... Read More

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

Look Out: Computer Vision in AI is Coming Into Sight

Posted by David Menninger on 21 February 2024

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... Read More

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

InterSystems Smart Data Fabric Supports Intelligent Applications

Posted by Matt Aslett on 14 February 2024

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... Read More

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

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

Keebo Automates Cloud Data Warehouse Optimization

Posted by Matt Aslett on 31 January 2024

In recent years, many enterprises have migrated data platform workloads from on-premises infrastructure to cloud environments, attracted by the promised benefits of greater agility and lower costs. The scale of cloud data platform adoption is illustrated by Ventana Research’s Data Lakes Dynamic Insights research: For two-thirds (66%) of participants, the primary data platform used for analytics... Read More

Topics: business intelligence, Cloud Computing, data operations, robotic automation, analytic data platforms, Analytics and Data, AI and Machine Learning

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

2024 Market Agenda: Innovation in AI and Digital Modernization

Posted by Mark Smith on 23 January 2024

Ventana Research has announced its market agenda for 2024, continuing a 20-year tradition of credibility and trust in our objective efforts to educate and guide the technology industry. Our research and insights are backed by our expertise and independence, and we do not share our Market Agenda or our market research, including analyst and market perspectives, with any external party before it is... Read More

Topics: Customer Experience, Human Capital Management, Marketing, Office of Finance, Digital Technology, Operations & Supply Chain, AI, Analytics and Data

Edge and Local Data Processing Growing in Importance

Posted by Matt Aslett on 18 January 2024

Discussion about potential deployment locations for analytics and data workloads is often based on the assumption that, for enterprise workloads, there is a binary choice between on-premises data centers and public cloud. However, the low-latency performance or sovereignty characteristics of a significant and growing proportion of workloads make them better suited to data and analytics processing... Read More

Topics: Cloud Computing, Internet of Things, Data, Digital Technology, analytic data platforms, Analytics and Data, AI and Machine Learning

Actian Accelerates Insight with Unified Cloud Data Platform

Posted by Matt Aslett on 10 January 2024

As articulated in Ventana Research’s Data Platforms Buyer’s Guide and DataOps Buyer’s Guide research, the combination of cloud computing and advanced analytics has lowered the cost of storing and processing large volumes of data, accelerating the emergence of new data platform and data operations products that enable organizations to gain operational efficiency and competitive advantage. The... Read More

Topics: Data Management, Data, Digital Technology, data operations, analytic data platforms, Analytics and Data

Explorium Facilitates the Use of External Data for Analytics and AI

Posted by Matt Aslett on 03 January 2024

The phrase ‘big data’ may have largely gone out of fashion, but the concept of storing and processing all relevant data continues to be important for enterprises seeking to be more data-driven. Doing so requires analytic data platforms capable of storing and processing data in multiple formats and data models. This will be an important focus for the forthcoming Data Platforms Buyer’s Guide 2024.... Read More

Topics: Analytics, Business Intelligence, Data Management, Data, Digital Technology, data operations, Analytics and Data, AI and Machine Learning

Avoiding the Complexity and Cost of the Modern Data Stack

Posted by Matt Aslett on 19 December 2023

I recently discussed how fashion has a surprisingly significant role to play in the data market as various architectural approaches to data storage and processing take turns enjoying a phase in the limelight. Pendulum swing is a theory of fashion that describes the periodic movement of trends between two extremes, such as short and long hemlines or skinny and baggy/flared trousers. Pendulum swing... Read More

Topics: Analytics, Cloud Computing, Data Management, Data, Digital Technology, data operations, Analytics and Data, AI and Machine Learning

Oracle Evolves Database Services for Generative AI and Multi-Cloud

Posted by Matt Aslett on 13 December 2023

I previously described how Oracle had positioned its database portfolio to address any and all data platform requirements. The caveat to that statement at the time was that any organization wanting to take advantage of the company’s flagship Oracle Autonomous Database could only do so using Oracle Cloud Infrastructure (OCI) cloud computing service, their own datacenter or a hybrid cloud... Read More

Topics: Analytics, Business Intelligence, Cloud Computing, Data Management, Data, Digital Technology, analytic data platforms, Analytics and Data

Boomi Promotes Business-Focused Integration Modernization

Posted by Matt Aslett on 29 November 2023

I recently articulated some of the reasons why IT teams can fail to deliver on the business requirements for data and analytics projects. This is an age-old and multifaceted problem that is not easily solved. Organizations have a role to play in alleviating the issue by ensuring that their business processes and project planning support a collaborative approach in which business and IT... Read More

Topics: Cloud Computing, Data Governance, Data Management, Data, Digital Technology, Analytics and Data, AI and Machine Learning

The Key Value of Database Simplicity

Posted by Matt Aslett on 15 November 2023

I have previously written about the functional evolution and emerging use cases for 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... Read More

Topics: Cloud Computing, Data, Digital Technology, data operations, Analytics and Data

Snowflake Expands Data Platform with Container Services

Posted by Matt Aslett on 07 November 2023

I previously wrote about the challenge facing distributed SQL database providers to avoid becoming pigeonholed as only being suitable for a niche set of requirements. Factors including performance, reliability, security and scalability provide a focal point for new vendors to differentiate from established providers and get a foot in the door with customer accounts. Expanding and retaining those... Read More

Topics: Analytics, Cloud Computing, Data, Digital Technology, Streaming Data Events, analytic data platforms, Analytics and Data, AI and Machine Learning

Alteryx Uses Generative AI to Enhance Analytic Operations

Posted by David Menninger on 01 November 2023

Alteryx was founded in 1997 and initially focused on analyzing demographic and geographically organized data. In 2006, the company released its eponymous product that established its direction for what the product is today. In 2017, it went public in an IPO on the NYSE. At the time of the IPO, Alteryx was focusing much of its marketing efforts on the data preparation market, particularly to... Read More

Topics: business intelligence, Analytics, data operations, Analytic Operations, Analytics and Data, AI and Machine Learning

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