Siri, Alexa, Google ... what comes next? | Karen Lellouche Tordjman

TED Talks Daily

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4.1 • 11.9K Ratings

🗓️ 16 December 2021

⏱️ 11 minutes

🔗️ Recording | iTunes | RSS

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Summary

From Siri to Alexa to Google, virtual assistants already permeate our lives. What will the next generation of these digital helpers look and sound like? Customer experience professional Karen Lellouche Tordjman gives us a glimpse of where they’re headed -- and breaks down the two key challenges engineers need to crack in order to usher in a new age of truly smart voice assistants.

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Transcript

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0:00.0	It's TED Talks Daily. I'm your host, Elise Hugh. Hey, so when you played this podcast,
0:08.8	did you tap your device to start it or just use your voice to ask your voice-enabled digital assistant
0:14.6	to start playing it? In her talk from TED at BCG in 2021, customer experience pro Karen
0:20.7	LaLouche Torchman gives us a glimpse of where
0:23.2	these smart digital assistants are headed, how they'll align even more closely with our lives,
0:28.9	and talks through how we should prepare for what's to come.
0:34.5	It's Monday morning. You've just received a voice notification from your voice assistant.
0:41.3	Good morning. There's a new pair of pants on sale at your favorite store.
0:46.0	Last week, while wearing your smart glasses, you were drawn to a similar pair and a colleague.
0:50.6	Would you like to wear them to the party on Thursday?
0:53.5	I suggest you skip the movers tomorrow night to afford them.
0:57.2	Say yes to validate the purchase.
1:00.1	Let me know if I should also find a gift for your host.
1:03.2	I can make suggestions based on your budget and her public Instagram profile.
1:08.2	Say yes to proceed.
1:10.7	Yes. So, or scary? Because this is how our future could
1:19.5	look like very soon. As a working mom, I find it exciting. I would love stop doing Google searches, wasting time doing Amazon scrolling,
1:31.6	budget calculation, or optimizing my calendar. What is thrilling is the prospect of having
1:39.1	a companion that would cater specifically to my needs and requests.
1:45.7	Just imagine.
1:48.8	It could do things like using my heart rate to tweak my Starbucks order to reduce caffeine.
1:52.9	It could take into account my lunch
	...

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