Accelerating delivery cycles through DevOps tools and practices is the topic of our time. In fact, according to the Accelerate State of DevOps 2021 report by DORA, the percentage of organizations reporting elite DevOps performance has grown by more than 370% between 2018 and 2021.
Combining DORA metrics with analytics and AI/ML can help you release better quality software more frequently and enable reliable customer experiences. How far along are organizations in their journey to continuously improve DevOps by leveraging DORA metrics, analytics and AI?
In March Techstrong Research conducted several flash polls among the Techstrong Group member community, which includes readers, influencers and contributors to our various communities focused on DevOps, cloud-native, security and our digital CxO community. Join us for this webinar featuring Tina Sturgis, senior director of product and solutions marketing at Digital.ai, Dan Kirsch and Mitch Ashley from Techstrong Research to learn the survey results and how your DevOps practices could improve using DORA metrics, AI and analytics.
Dan is Managing Director and Co-Founder of Techstrong Research is a consultant, IT industry analyst, and thought leader focused on how emerging technologies such as AI, machine learning, and advanced analytics are impacting businesses. Dan is particularly interested in how businesses use these emerging technologies to alter their approaches to information security, governance, risk, and ethics. Dan provides advisory services directly to leadership at technology vendors that design and deliver security solutions to the market. He assists them in aligning their solutions with enterprise requirements. Dan is viewed as an expert in understanding security solutions and mapping them to the complex needs of business across industries. Prior to co-founding Techstrong Research, Dan was Managing Director at Hurwitz & Associates, an analyst and consulting firm. At Hurwitz & Associates Dan led research on a variety of studies and reports in the areas of data and AI, modern software development, security, multicloud computing.
Dan earned his B.A. in Political Science from Union College in New York and a J.D. from Boston College Law School, where he focused on emerging corporate strategies and intellectual property. As an attorney, Dan represented start-ups, cloud computing ventures, early stage startups as they sought funding. Dan is a co-author of Augmented Intelligence: The Business Power of Human-Machine Collaboration (CRC Press, 2020), Cloud for Dummies (John Wiley & Sons 2020), and Hybrid Cloud for Dummies (John Wiley & Sons, 2012).