Gartner ThinkCast Gartner

The potential of new AI tools is unarguable, but the fundamental question remains: How much do you trust AI?
 
In this episode, which originally aired as part of our Top of Mind video series, Gartner Distinguished VP Analyst Mary Mesaglio explores both our trust and distrust of digital technology and provides insight on how to navigate the complexities of dealing with a nonhuman entity and cultivate healthier partnerships with AI.
 
Later, Mary discusses critical skills business leaders need to navigate trends, move beyond the hype of new technologies and progress toward genuine innovation. She then examines the potential of AI in very human fields like mental health and the challenges of integrating new technologies in more unexpected fields, such as cardiology.



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Download Now: 4 Key Initiatives to Get Your Enterprise AI Ready
https://gtnr.it/48vx60R
 
Get a Sneak Peek: How to Prepare for the $3 Trillion Machine Customer Opportunity 
https://gtnr.it/3xcrtrD
 

In the noisy world of digital marketing, what can catapult a brand to "genius" status?
 
Suzanne Schwartz, Senior Director Analyst in the Gartner for Marketing Leaders practice, delves into the findings of our annual Genius Brands report, which benchmarks the digital marketing performance of brands across industries. This year’s report emphasizes the importance of investing in people and processes over technology, maintaining robust brand governance and prioritizing customer touchpoints. The 36 brands featured outperform their peers by leveraging data science, machine learning and generative AI to create impactful marketing.
 
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Download Now: Digital Marketing Excellence in Action: See the Standout Performers
https://gtnr.it/43E4LEW
 
Learn More: 3 Impending Technology Shifts Rule the Gartner Hype Cycle™ for Digital Marketing
https://gtnr.it/3PGkKfI
 

As organizations implement AI in decision making and how work gets done, trustworthy data is essential to adding value every step of the way. Inadequate data governance or unclear AI ambitions leaves enterprises at risk of falling behind.
 
In this keynote address from Gartner Data & Analytics Summit 2024, Distinguished VP Analyst Debra Logan and VP Analyst Ehtisham Zaidi emphasize that the journey toward becoming AI-ready is not solely about technology adoption but also embedding these capabilities into the organizational DNA. Through rigorous execution of data and analytics fundamentals, leaders can unlock unprecedented business value, drive governance maturity and steer their organizations toward shared success. 
 
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Learn More: Highlights from Gartner Data & Analytics Summit
https://gtnr.it/3TCPZLa
 
Download Now: 4 Key Initiatives to Get Your Enterprise AI Ready
https://gtnr.it/49ketOs
 

Organizations are navigating headwinds from all directions, and in this environment, many are falling behind when it comes to keeping up with the latest technology. When the issue is ignored or mismanaged, and the price to modernize systems becomes insurmountable, enterprises risk being crushed under “technical debt.”

Gartner VP Analyst Roger Williams, who researches the future of infrastructure and operations, stresses the importance of continuous management over attempting to "spend your way out" of technical debt. He explains that organizations cannot eliminate their debt entirely through retroactive modernization projects. Instead they should work to understand and address the impacts of technical debt on stakeholders to effectively manage it as an ongoing concern rather than a one-time project.
 
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See More in Gartner Peer Community:  Is Technical Debt Necessary for On-Time Deployment?
https://gtnr.it/4cdIL7V
 
Read More: Set Up Now for AI to Augment Software Development
https://gtnr.it/3P83EHr
 

As supply chains return to normal following the COVID shortages of the past few years, chief supply chain officers find themselves at an inflection point: balancing efficiency with output.
 
Ken Chadwick, VP Analyst on the Gartner supply chain organizational development team and author of this year’s Future of Supply Chain report, explains how supply chain productivity creates value for enterprises as a whole. But to do so, supply chain leaders also must incorporate sustainability, technology, AI and the human role into their strategy.
 
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Download Now: 4 Keys to Creating a Competitive Advantage in Supply Chain
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Learn More: See the Latest Supply Chain Insights and Trends
https://bit.ly/48q1gT7
 

How far does your enterprise want to go with artificial intelligence? Deciding this is what Gartner calls an “AI ambition” — and that's the starting point for spotting AI opportunities and executing on your plans.
 
To help navigate the opportunities and limitations, Hung LeHong, a Gartner Distinguished VP Analyst whose work focuses on how C-level executives can anticipate changes to business models and customer trends caused by digital business, outlines why defining your AI ambition is the first step to setting up a roadmap for implementation. He also discusses the differences between “everyday AI” and “game-changing AI,” and how leaders can use the Gartner AI Opportunity Radar to decide which ambitious path is right for their organization.
 
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Download Guide: Use the AI Opportunity Radar to Define AI Ambition and Get Your Enterprise AI Ready
https://gtnr.it/49ketOs
 
Download Workbook: Build an AI Strategy: From Setting AI Vision to Executing Value-Driving AI Initiatives
https://gtnr.it/3OqlC7C
 
Read More: Executive Resources: What Generative AI Means for Business
https://gtnr.it/3uh3bf0