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Our mentee startup success and growth
I am inspired to introduce Petinder (which is developing to a huge AdoptPetHub.com brand).

Starting in 2022 as a Social business startup Petinder involved both business and social parts, building strong core team, amended with a wide number of volunteers.
Social part of the service offers search engine for pets adoptio0n and care, including leisure options, co-workings, sport events, hotels, beaches, and many other services.
The business part includes “tools and information on dog walkers, pet sitters, dog trainers, and groomers, helping pet owners find trusted professionals to care for their furry friends”.
The inspiring essence of this project is hybrid – employees and volunteers team.
AdoptPetHub.com
The service is rapidly developing leading by its Founders, and now it’s transforming to a larger Adopt Pet Hub mega service!
AI module in IT Service management online course
Our course IT Service management has a new module now – AI in ITSM.
Learn which roles can AI play in ITSM – boring and generative. We discuss risks, achievements, challenges and advantages of applying AI for IT service management.
Join or Retake our course NOW!

AI applying for Service Desk
Our online course – Service operations and Service Desk – got a new module – AI in Service Desk.
Join our course here.

Google User Lab Handbook
My graduate MBA student published an extremely helpful playbook for Product teams. Enjoy!
We’re DevOps accredited training provider!
We’re happy to announce that services gained again the prestigious Training Provider and Accredited trainer status.
Join our online courses and purchase individual consulting!


Service Desk Predictors (Leading indicators)
Service desk predictors (or leading indicators) module is added to our Service Desk KPIs e-learning course. In this module you learn how to develop and measure subjective predictors which help us to predict ad solve issues before they happen, and thus reach high KPIs.

ITSM vs DevOps e-learning course is improved with adding Scrum for Operations module
Oxford recommendations for implementing AI in Education
The Oxford University published a set of simple, but helpful recommendations on implementing and challenges of AI tools in higher and university education.
Ab excerpt from the publication –
Six tips to keep in mind when using generative AI tools
- Always cross-check AI generated outputs against established sources to verify accuracy and identify erroneous information.
- Give significant contextual information when asking questions or prompts and ask several follow-up questions to refine responses.
- Use personae in your prompts e.g. “I am an undergraduate student who is revising for a first-year calculus exam”.
- Give examples of the kind of responses you want.
- AI tools are not good at calculations so use other established tools, calculators, Excel or Mathematica.
- Do not share sensitive personal data such as financial details or passwords with AI tools. Avoid sharing your own or others intellectual property such as patents, trademarks, designs, sensitive information, or content created by others into any AI tools.


