⭐ Podcast Episode Structure:
Intro: Guest Credibility (background, areas of expertise)
Pain Points, Existing Solutions: problems the industry the person is in could have, what was tried but didn’t work to solve them
AI as a Solution: Discuss how companies like tet can implement AI and fix the problems.
Telecommunications, AI, Operations Optimization, Data Privacy, Data Security, Competitive Advantage, AI Development, Outsourcing, Software Development, Strategic Advice, Skillsets, Competitive Principles, Cyber-security
Dmitrijs Nikitins is the Chief Technology Officer and board member of Tet.lv, the largest technology company in Latvia with 300m+ EUR annual revenue, providing broadband connectivity, IPTV and OTT video services, 3 TV channels, IT security services, and managed IT services. Dmitirjs has over 15 years of experience in IT during which he has developed a strong foundation in research, development, and technology implementation.
Intro
Can you share a bit about your background and how you became the CTO at tet?
What are the main areas of expertise you have developed over the years that have helped you in your role at tet?
What are the main challenges you face in your role as CTO at tet in terms of AI related projects?
As an active CTO with a track record of implementing new tech solutions that streamline operations, improve customer experiences and improve data-driven decision-making, what innovative projects have you led at tet that you're particularly proud of?
Pain Points, Existing Solutions
What are the key problems that come with implementing digital transformation projects where the goal is operations optimization?
What are the typical approaches used to address and solve these problems?
How do you measure the success of these solutions?
What other areas of applications you see AI being used in the telecommunications industry? Cyber-security, customer service, network optimization, etc.?
Are they new or existing processes that are being improved with AI?
Which processes are suitable for AI and which are not?
What are the main challenges you see in implementing AI in these areas?
AI as a Solution
Can you identify any common misunderstandings about AI's role in operations optimization?
How does tet.lv ensure data privacy and security when implementing AI technologies? (e.g. the model training using sensitive data etc.)
What specific regulatory or compliance challenges does AI implementation pose in the telecommunications sector? (GDPR, AI act, etc.)
How does tet.lv assess the cost-benefit ratio of AI investments?
What are some practical steps that companies should take to implement AI in their operation's optimization?
Should team learn how to use readily available AI tools or should they develop their own AI solutions? Do you teach how to use ChatGPT and other AI tools to your employees?
Under what conditions does tet.lv decide to develop AI solutions in-house versus outsourcing them?
What skill sets are required for team and what principles should be followed to remain competitive while optimizing operations considering AI models will continue to develop?
What main competitive advantages do you think the companies that use AI for optimizing their processes have over the ones that don’t?
In your experience what productivity, efficiency, and cost savings have you seen from implementing AI in operations optimization at tet?
How advanced are the AI solutions in the telecommunications industry today at tet here in Baltic countries? Are there more advanced solutions in other countries?
Bonus:
For executives at other large companies looking to leverage AI for growth, what strategic advice would you offer based on your experience at Tet.lv?