One-Minute Insights are quick, digestible reports of benchmark surveys taken only by decision makers like yourself in the Peer Community platform. They are designed to be read between meetings. Each report is available for you to download and use for visual data in a presentation or slide deck.
Chaos engineering tests the resilience of complex systems, but how many tech leaders have adopted it in their organizations? Read on to find out.
Today’s marketing landscape is changing, and many organizations have developed marketing operations teams to help overcome new challenges and embrace new opportunities. Explore how organizations have overcome obstacles in the marketing operations team development process, and read more about the successes these organizations have achieved.
Generative AI has gained significant attention and adoption recently as organizations and end users increasingly recognize the potential of this technology. Sales teams, in particular, are finding new and innovative ways to boost sales outcomes using these tools.
HR teams across organizations are utilizing generative AI (GenAI) to streamline their hiring process. From drafting job listings to screening resumes, GenAI’s applications have enhanced organizations’ recruitment strategies and shortened the time needed to close open positions. How are HR teams adapting GenAI to their personal needs, how successful have they been and what challenges are they facing?
In the ever-evolving landscape of business and technology, customer engagement stands as a pivotal factor that defines success. With the advent of AI, a new era of customer engagement has emerged. How have product management and data professionals incorporated AI into their customer engagement strategy and what benefits have they seen?
Innovation has always been the driving force behind successful product development. Enter GenAI, an emerging power that can reshape how products are brought to life. How can product managers harness the power of GenAI to improve the user experience and business outcomes of their offerings and drive product growth?
Marketing teams are leveraging generative AI (GenAI) to better understand their customers, create personalized content and improve workflows. Integrated alongside traditional marketing automation platforms, these GenAI tools allow marketers to develop unique marketing strategies, synthesize customer journeys and optimize results. How can marketing teams who aren’t using GenAI leverage the tool, and what applications does synthetic marketing data have in the development of customer journey mapping?
GenAI has been a ubiquitous topic of conversation over the past six months, but when it comes to the actual implementation, details are surprisingly sparse.
How are supply chain and procurement professionals approaching the work of implementing GenAI, and what advice do they have for those just starting the journey?
With the potential for generative AI to transform supply chain operations, leaders are eager to explore its benefits. However, many roadblocks remain on the journey to implementation. Where do supply chain leaders say their organizations currently stand on adoption and use?
Generative AI (GenAI) is changing the way that software engineers and developers do their work, but how are organizations managing adoption, training and governance? Read on to find out.
Decision-makers may look to artificial intelligence (AI) and machine learning (ML) technologies, that learn based on training datasets, and make predictions that can aect business outcomes, to achieve their business goals. However, debates around the potential impacts of such technologies on businesses and society continue. How are decision-makers, and their organization, approaching AI ethics?
How are CIOs and IT leaders approaching 2024 planning and budgeting to account for Generative AI (GenAI) adoption within their IT organizations?
Artificial intelligence (AI) technologies are being used in a variety of tools—but are decision-makers adopting AI in cybersecurity?
Hyperautomation allows for streamlined processes and decision making, but how successfully are tech leaders deploying it in their organizations? Read on to find out.
Marketing teams around the world have embraced generative AI and integrated the technology into their marketing funnels. As a result of these high levels of adoption, many marketing leaders report improved speed to market and enhanced productivity.
How are marketing teams using generative AI across their marketing tech stack? What benefits are they anticipating, and what barriers to entry are they facing, if any?
With growing interest in generative AI tools and foundational models among organizations and individuals alike, IT and security leaders are challenged to mitigate the accompanying risks of this rapidly developing tech. Given the emergent nature and deep complexity of this area, what strategies are these leaders turning to so far?
Generative AI is trending in the tech world, but how are software engineering leaders making use of the tool? Which use cases are most promising, and which concerns are top of mind?
Generative AI is currently in the spotlight with the release of ChatGPT, but it has already been making significant contributions to data and analytics (D&A) through synthetic data. This solution can help fill gaps in real-world data sources and even improve model outcomes. How are data and analytics professionals currently using synthetic data and what challenges do they face?
With the potential for generative AI to transform business, technology leaders are eager to explore its benefits. The swift rise of ChatGPT further highlights its potential. Where do IT leaders say their organizations currently stand on adoption and use?
Organizations are looking to generative AI (GenAI) governance as the tech’s risks and opportunities continue to emerge. What are their strategies and how many plan to implement generative AI for security?
The potential use cases for GenAI are extensive. How are leaders applying this technology in their data and analytics (D&A) function today, and how do they plan to in the future?
AI poses unique challenges for governance that must be directly addressed to mitigate risks and take advantage of opportunities. How are organizations developing AI governance frameworks, and what benefits and challenges have they experienced around AI governance?