Navigate Market Cycles with Agility, Intelligence, and Drive

Problem:

Organisations are running with thousands of cameras and are unable to track all unusual behaviour that is occurring. Their largest client has 8,000 cameras with 24/7 footage.

Solution:  

Harnessing the power of Artificial Intelligence and Machine Learning, Icetana software effectively detects and filters routine motion, enabling operators to focus on unusual behaviour.

One big piece of advice:

There is no excuse to be ignorant about a subject when you can read, watch YouTube, listen to a podcast or even ask Chat-GPT.

Bullets:    

• 00:00 - Introduction  
• 11:30 - The business Kevin would start today
• 14:40 - The dot.com bubble burst
• 17:46 - A/B testing eBay’s page
• 19:10 - Got acquired by Accenture around the GFC
• 20:28 - What Kevin learnt about the financial cycles that entrepreneurs can take  
• 25:15 - How humans chase a sunken cost
• 27:21 - A screenshot of $1m in the bank
• 28:32 - Buy an iPhone for 42c
• 30:49 - Working at a web development company
• 31:12 - Google Maps on steroids
• 35:00 - Finding the right price point
• 37:45 - Made $3m in one month
• 38:34 - Virtual Gaming World  
• 40:20 - Laurence's Escalante  
• 43:13 - Kevin went to Europe for a month
• 46:35 - Project Managing  
• 48:40 - Replaced the whole tech team
• 50:35 - Only had 3-months in the tank
• 54:29 - Welcome to the business – your budget is 0
• 54:50 - Laurence took the company to Boracay
• 56:43 - Icetana and the use of AI
• 1:00:10 - First fire detection detected red-haired people
• 1:03:00 - The pre-success of Icetana
• 1:03:30 - Kevin's views on AI
• 1:08:46 - Kevin's one big piece of advice
• 1:11:40 - Show & Tell

Show & tell

• ‍NearMap ‍
• Virtual Gaming World ‍
• Icetana ‍
• Chat-GPT