ISG Software Research Analyst Perspectives | AI and Machine Learning (4)

Planning to Get Ahead of What’s Next in the 21st Century

Posted by Robert Kugel on 22 February 2024

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... Read More

Topics: Office of Finance, Continuous Planning, Data Management, Business Planning, data operations, 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

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

AI Hallucinations Are More Than a Headache for Business and IT

Posted by Jeff Orr on 24 January 2024

Imagine a world where artificial intelligence (AI) seamlessly integrates into every facet of your business, only to subtly distort your data and skew your insights. This is the emerging challenge of AI hallucinations, a phenomenon where AI models perceive patterns or objects that do not exist or are beyond human detection. AI hallucinations became popularized in early 2023 with the rollout of... Read More

Topics: Digital Technology, AI and Machine Learning

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

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

Intelligent Automation Trends to Improve Business Results in 2024

Posted by Jeff Orr on 26 December 2023

Ensuring digital effectiveness requires insights into how enterprises can provide the best outcomes through people, processes and technologies. Armed with those insights, business and technology investments can effectively innovate and streamline organizational processes. Global enterprises are building new digital platforms to replicate human actions and eliminate routine tasks to achieve... Read More

Topics: Digital Technology, robotic automation, 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

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

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

Workday Rising Highlights Responsible AI

Posted by Robert Kugel on 02 November 2023

Because artificial intelligence is top-of-mind, Workday spent a great deal of time on the topic at its recent Workday Rising annual user group meeting in San Francisco. It was front and center in the general sessions, in the announcements made at the event and in the product roadmaps. The sudden attention paid to AI and generative AI in the media has provoked alarmists to warn of potential... Read More

Topics: Office of Finance, Business Planning, ERP and Continuous Accounting, 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

Databricks Utilizes Unity Catalog to Support Generative AI Development

Posted by Matt Aslett on 17 October 2023

I previously described how Databricks had positioned its Lakehouse Platform as the basis for data engineering, data science and data warehousing. The lakehouse design pattern provides a flexible environment for storing and processing data from multiple enterprise applications and workloads for multiple use cases. I assert that by 2025, 8 in 10 current data lake adopters will invest in data... Read More

Topics: Analytics, Business Intelligence, Data Governance, Data Management, Data, Digital Technology, analytic data platforms, Analytics and Data, AI and Machine Learning

The Buyers Guide for Augmented Analytics Classifies and Rates Vendors

Posted by David Menninger on 06 October 2023

I am happy to share insights gleaned from our latest Buyers Guide, an assessment of how well vendors’ offerings meet buyers’ requirements. The Ventana Research 2023 Augmented Analytics Buyers Guide is the distillation of a year of market and product research by Ventana Research. Drawing on our Benchmark Research, we apply a structured methodology built on evaluation categories that reflect the... Read More

Topics: Analytics, Augmented Analytics, AI and Machine Learning

Augmented Analytics Buyers Guide 2023: Market Observations

Posted by David Menninger on 05 October 2023

The 2023 Ventana Research Buyers Guide for Augmented Analytics research enables me to provide observations about how the market has advanced. For decades, organizations have been improving and expanding the way they use analytics and data software, commonly referred to as business intelligence (BI), to improve their operations. Vendors have made dramatic improvements to BI products with highly... Read More

Topics: Analytics, Augmented Analytics, AI and Machine Learning

Cloudera Facilitates Versatility with Enterprise Data and AI

Posted by Matt Aslett on 03 October 2023

The data platforms market may appear to have little or nothing to do with haute couture, but it is one of the data sectors most strongly influenced by the fickle finger of fashion. In recent years, various architectural approaches to data storage and processing have enjoyed a phase in the limelight, including data warehouse, data mart, data hub, data lake, cloud data warehouse, object storage,... Read More

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

Generative AI Boosts Value Creation with Outcome-Led Data Integration

Posted by Matt Aslett on 27 September 2023

Despite a focus on being data-driven, many organizations find that data and analytics projects fail to deliver on expectations. These initiatives can underwhelm for many reasons, because success requires a delicate balance of people, processes, information and technology. Small deviations from perfection in any of those factors can send projects off the rails. For data projects, placing too much... Read More

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

Altair Accelerates Data Analytics with RapidMiner

Posted by David Menninger on 21 September 2023

Organizations are continuously combining data from diverse and siloed sources for analytical, artificial intelligence and machine learning projects. As the volume of data grows, it becomes challenging for organizations to manage and keep current to extract valuable insights in a timely manner. Businesses also face challenges such as a lack of required skills and a shortage of data science... Read More

Topics: Analytics, Business Intelligence, AI and Machine Learning

Microsoft Fabric Stitches Together Data and Analytics

Posted by Matt Aslett on 20 September 2023

I have written before about the rising popularity of the data fabric approach for managing and governing data spread across distributed environments comprised of multiple data centers, systems and applications. I assert that by 2025, more than 6 in 10 organizations will adopt data fabric technologies to facilitate the management and processing of data across multiple data platforms and cloud... Read More

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

Evaluating the Impact of Generative AI Benefits on GRC Practices

Posted by Jeff Orr on 31 August 2023

Governance, risk management and compliance are essential tactics for a successful organization. Effective GRC practices help organizations achieve business objectives, mitigate risks and ensure compliance with laws and regulations. As a chief information officer or IT leader, it is important to evaluate new technologies and determine their impact on the business, including whether they fit within... Read More

Topics: Data Governance, AI and Machine Learning