Home Authors Posts by Mikhail Ishkhanov

Mikhail Ishkhanov

Mikhail Ishkhanov
2 POSTS 0 COMMENTS

Mikhail Ishkhanov, Senior Director of Product Strategy and Sales Enablement has been with SOTI for over ten years. His journey began on the support team in 2012, and through the years, he led various teams within the business. His hard work and dedication make a huge impact on the Global Sales Engineering team. As a member of the team, he focuses on growth strategy and product engagement and worked alongside his team to onboard SOTI’s largest customers. In his most recent position as a Senior Director of Product Strategy and Sales Enablement, Mikhail focuses on alignment between Support, Service and Product Managers, along with the Marketing team, to create cohesive messaging and accompanying roadmaps for SOTI products.

Mikhail received a bachelor’s degree in Information Technology Management, specializing in Enterprise Resource Management, from Toronto Metropolitan University. Soon after graduating, Mikhail starts his career at SOTI. Mikhail is a self-motivated individual who takes on challenges and enjoys learning about new technology. He strives to be at the forefront of innovative projects, and this passion is evident through his successful track record.

Outdated technology is slowing care and burdening clinicians

Learn how to overcome outdated healthcare systems and improve patient care with AI, IoT, and security solutions.

The Rising Tide of AI-Augmented Software Development: A Pragmatic Overview of Efficiency and Productivity Gains

AI-augmented software development can automate repetitive and basic tasks, allowing organizations to redirect valuable resources to strategic initiatives.

You May Also Like

Ownership assigned after launch is not ownership

When engineering teams wait for a governance review to define accountability, the system already decided.

The checkbox that isn’t a control: Rethinking human-in-the-loop for ISVs

Relying on a final review screen fails to catch systemic AI errors. Software vendors must architect genuine oversight directly into the product.

AI application generation needs design, discipline and determinism

Scaling AI application generation requires moving beyond prompt-driven workflows to embed architectural and design constraints into development.

Modern monetization: The route to software business success

Stop relying on intuition. Use granular customer usage data to improve software products, optimize AI investments, and boost adoption.