Join our webinar to learn more about
- Business imperative for quality management modernization
- Tooling strategies: best-of-breed vs integrated toolsets
- Significance of active & historical data
- Pros and cons of tool adoption strategies: rip and replace vs coexist
- Migration approaches: Big bang vs agile migration
- Best practices/strategy for application modernization
Vice President of Sales, OpsHub Inc
Increasing product sophistication and digital transformation drives the demand for new tools and processes to support development and QA teams’ needs for agile, best-of-breed tools. Product innovation goes beyond efficiency and needs insights, and interoperability to connect the dots with informed decision making. Modernizing dated and legacy tools that no longer serve the transparency and traceability needs is among the first steps that organizations can take to build high quality products faster.
In this webinar experts from OpsHub and Intland Software will talk about the key considerations for modernizing your quality management tools.
About our expert
Mark Schultz is Vice President of Sales at OpsHub. He has extensive experience in aligning with Customers and Partners to achieve business objectives. Prior to OpsHub, Mark worked at VersionOne (now Digital.ai) for 10 years. During this time, Mark resold OpsHub integration solutions and worked with multiple digital transformation partners to help enterprises scale Agile and DevOps practices. Mark works with Intland from a Business Development and Sales perspective, which includes ensuring customer success.
OpsHub is the leading provider of integration and migration solutions for the ALM, CRM, and DevOps toolchains. OpsHub enables modern software teams to innovate by empowering enterprises to modernize and unify their toolchain and reap actionable insights from disparate tools. OpsHub flagship products for migration, integration and insights help teams to leverage the best tool for a given task, collaborate seamlessly and unlock the full potential of their data.