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eBook August 10 2022
... accuracy of your business decisions. This guide to augmented decisions outlines how to: Understand the role of automation in decision making Blend the human and AI factors in hybrid decision making Use decision intelligence framework to assess when to augment/automate decision making Act intentionally to ...
Webinar On-Demand
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Now is the time to embrace a key component of the future of data: Augmented analytics. Augmented analytics is a disruptive trend that leverages machine automation and artificial intelligence. It transforms how you prepare data, generate and ...


Analyst(s):   Anirudh Ganeshan
Research Feb 2022
... of the largest ABI platform vendors recently acquired augmented analytics vendors, solidifying the technology as a differentiator for vendors in this market segment. Data and analytics leaders should evaluate the broad scope of augmented analytics for solving new business challenges. Overview Strategic ...

Analyst(s):   Kevin Quinn
Research Jun 2021
... Augmented capabilities are differentiating features in platforms across D&A. They’re also a key factor accelerating the convergence between analytics and data science. Data and analytics leaders must enable analysts and consumers with these capabilities to enhance data-driven decision making. Overview ...

Analyst(s):   David Pidsley   |   Austin Kronz
Research Jul 2021
... Augmented capabilities are differentiating features in platforms across D&A. They’re also a key factor accelerating the convergence between analytics and data science. Data and analytics leaders must enable analysts and consumers with these capabilities to enhance data-driven decision making. Gartner ...

Analyst(s):   Austin Kronz
... Augmented analytics is the use of enabling technologies such as machine learning and AI to assist with data preparation, insight generation and insight explanation to augment how people explore and analyze data in analytics and BI platforms. It also augments the expert and citizen data scientists by ...
Research Jun 2021
... storytelling techniques to increase decision makers’ engagement with data. Data and analytics leaders should plan for new ML/AI-based data storytelling capabilities that will automate these tasks and potentially change how analytics is done. Overview Strategic Planning Assumption Introduction Impacts and Recommendations ...

Analyst(s):   James Richardson
Premium Research Mar 2022
... driven by metadata and AI/ML technologies, are disrupting how we solve data quality issues by automating processes and simplifying effort. Data and analytics leaders must leverage these solutions and related best practices to evolve their data quality capabilities. Overview Strategic Planning Assumptions ...

Analyst(s):   Ankush Jain   |   Melody Chien
Research Nov 2021
... The proliferation of augmented capabilities within analytics, business intelligence, and data science and machine learning products is making once-distinct markets collide. To harness the energy released, data and analytics leaders must anticipate big changes in products, investments and practices. ...

Analyst(s):   Carlie Idoine
Research Jul 2019
... Research In the digital era, data and analytics leaders will leverage augmented analytics to drive improved customer experiences and valuable business outcomes. This research provides a structured five-step framework to define, assess and prioritize augmented analytics features in the product roadmap. Key ...

Analyst(s):   Jim Hare   |   Eric Hunter
Research Sep 2021
... Augmented DSML brings in transformational innovation by enhancing productivity and operationalizing Data Science initiatives. Data and analytics technical professionals can use this research to understand the intricacies and learn to complement Augmented DSML within their data science initiatives. ...

Analyst(s):   Ramke Ramakrishnan
Premium Research Apr 2022
... driven by metadata and AI/ML technologies, are disrupting how we solve data quality issues by automating processes and simplifying effort. Data and analytics leaders must leverage these solutions and related best practices to evolve their data quality capabilities. Gartner Research ...

Analyst(s):   Melody Chien
Research Jan 2022
... AI throughout the full software test cycle. Software engineering leaders must build a portfolio of multiple tools and capabilities to support AI-augmented software testing. Gartner Research ...

Analyst(s):   Joachim Herschmann
Research Dec 2021
... achievements improving health, cost, efficiency and the use of emerging technologies. Janssen Pharmaceuticals’ case study highlights AI-driven augmented analytics driving life science commercial operations transformation. Overview Recommended by the Authors Gartner Research ...

Analyst(s):   Rohan Sinha   |   Pooja Singh   |   Mandi Bishop
... specializes in analytics and business intelligence (BI) solutions. This includes assessing and selecting analytics and BI platforms and augmented analytics tools. Capabilities such as cloud analytics, reporting, dashboards, self-service analytics, data discovery, citizen data science and advanced analytics are ...
Blog Post September 19 2017
... Augmented reality (AR) is defined as the overlaying of digital information on the physical world (see our note "Immersive Technologies Offer Infinite Possibilities" ). It gives organizations unique and specialized ways of offering experiences to their internal and external users with the use ...

Analyst(s):   Marty Resnick
Research Jun 2021
... Novel applications of existing AR technologies and innovative new technologies are both required to deliver the enhanced experiences required to accelerate user adoption. Product leaders must track early-stage AR innovations and make critical decisions on inclusion in product roadmap planning. Overvi ...

Analyst(s):   Roberta Cozza   |   Kanishka Chauhan   |   Stephanie Baghdassarian   |   Annette Jump   |   Anshul Gupta   |   Tuong Nguyen   |   Nick Ingelbrecht   |   Bill Ray
Webinar On-Demand
... Now is the time for you to embrace a key component of the future of data: Augmented analytics. Augmented analytics is a disruptive trend that leverages machine automation and artificial intelligence (AI). It transforms how you prepare data, generate and share insights, and create and operationalize data ...

Analyst(s):   Austin Kronz
Blog Post August 31 2017
... Needless to say, it’s been a very exciting couple of months for Augmented reality (AR). With the announcements of AR Core (Google), and AR Kit (Apple) a couple of months ago,  it appears as though AR has hit mainstream. It is important to keep in mind that both of these AR development kits ...

Analyst(s):   Marty Resnick
Premium Research Aug 2022
... Organizations are looking for more collaborative, governed and easily embedded augmented analytics in their business processes. Data and analytics leaders should consider the Cool Vendors in this research to close the gap between analytics insights and business actions. Gartner Research ...

Analyst(s):   Julian Sun
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Augmented Analytics

... Augmented analytics is the use of enabling technologies such as machine learning and AI to assist with data preparation, insight generation and insight explanation to augment how people explore and analyze data in analytics and BI platforms. It also augments the expert and citizen data scientists by ... Gartner Glossary