@TOtechweek@ada_cx There once was an agent named Torii,
The star of Torontoβs tech story.
It crushed every chat, In two seconds flat,
And swept up the Tech Week glory!
Update! Our @ada_cx AI agent still needs a name, but weβre getting closer π
The TTW community sent us 80+ suggestions. Some were clever. Some were very Toronto. Some made us really laugh.
Our team narrowed it down. Now we need your vote.
What should we name it? π
Apparently, people love cat videos featuring clowns - who knew ? π Here's one for you to learn from a smart cat and attend the Practical Ai Summit at https://t.co/hT6LF43rWX. Hurry and register now - it starts in less than four days on Oct 2! #Cat#Catnapxdogday#catsandclowns #clownworld
If you are surrounded by AI quackers who you need to get in a row, you need to be at the Practical AI Summit on Oct 2-3. Register now at https://t.co/zzdYnHgAR6 #businessevents#BusinessInnovation@GoogleSmallBiz
BTW, @GoogleAIStudio@veo3gemini why do so many videos we are creating Gemini Veo3 have spelling errors and garbled text? Even after repeatedly instructing the AI to reproduce the text exactly as written, it still produces erroneous garbled mess in videos. See below for example. Please fix it!
So very true, @alliekmiller. Getting AI to work and obtain results that truly move the needle is not easy. But it can be done. Learn how from leaders who have done it at https://t.co/hT6LF43rWX Oct 2-3 Online #Futureofwork#AI#aiforbusiness
PS: even the simple videos generated by Veo have so many errors. See this, for example:
So very true, @alliekmiller. Getting AI to work and obtain results that truly move the needle is not easy. But it can be done. Learn how from leaders who have done it at https://t.co/hT6LF43rWX Oct 2-3 Online #Futureofwork#AI#aiforbusiness
PS: even the simple videos generated by Veo have so many errors. See this, for example:
You need to fire people that generate endless workslop with AI.
There will be a cohort of people that will drag down the group project, so to speak. Theyβre going to have ChatGPT generate generic, low-quality, inaccurate, off-brand, potentially harmful BS for your company. Letβs call this person Slopbot Sam.
Then theyβll pass it to a checker - a smarter liability holder, letβs call them Golden Greg - who has a higher bar and refuses to let trash out the door and who has to fix everything. Golden Greg is now stuck with hours of additional labor to review and potentially fix Slopbot Samβs input.
Golden Greg could have spent his time creating unbelievably high-value work and changing the course of his company for the better. Instead, Golden Gregβs time is allocated to fixing Slopbot Samβs crap output. So your org is now producing Slopbot Samβs half-baked ideas and Golden Gregβs edits, instead of both Slopbot Sam (with training) and Golden Gregβs best ideas.
Workslop and lazy employees will destroy your competitive advantage. Raise the bar on Slopbot Sam and coach him. Set clear AI expectations and incentivize high-quality AI usage. AI usage alone does not equal success with AI. Work success is still based on quality, trust, taste and curation, data and insights that increase customer value, and speed of iteration toward a goal.
Even if AI can 10x the quantity, you donβt want to scale trash.
Fire Slopbot Sam.
Reward Golden Greg.
Are you coding the algorithm of ambition and investing in knowledge? Hurry up, less than a week to go before you miss the greatest chance to invest in knowledge here: https://t.co/JTHwpIAfa6 #AI#Futureofbusiness@AIforGood@GMktgPlatform
We asked AI to study our conference webszite and produce a poster that summarizes why anyone should attend it and here is the result. Color us impressed! https://t.co/JTHwpIAfa6 #AI#practicalAI#futureofbusiness
Not surprising, @karlmehta - there's way too much hype and not enough substance in AI yet. This is why we put together an online conference to learn from some of the best thinkers and doers how to leverage AI in practice and get results today that move the needle. https://t.co/hT6LF43rWX
BREAKING: McKinsey just analyzed $600B+ in tech investments across 13 frontier sectors & the results are shocking.
Turns out, 78% of companies are using AI, but only 1% actually scaled it.
Here's what their data revealed:
(hint: we're measuring "AI adoption" completely wrong)