So tech players are working hard on this. In 2018, Google launched an investment program for start-ups that would work with their Google Home suites. And since then, they have invested in over 15 companies. Amazon has 10,000 employees working on Alexa voice technologies. So they will eventually crack the voice issues. The smart assistants will be able to understand what we say, the meaning of the words in their context. For example, if I’m using my smart assistant, and I’m listening to music, and then I say, "Change."
VA: Hi, Karen. Do you want to change the temperature of the room?
KLT: Well, clearly this is not working yet, but in the future, it will understand that I'm talking about changing the track, not changing the temperature of the room. It will also understand our long and complex requests. You know, when we start saying something and then we change our mind mid-sentence. But that doesn't stop here. With far-field speech recognition, you will be able to use it from a distance, from a room to another. Even with background noise like kids screaming or traffic.
Tremendous progress has been made on this recently, largely due to Amazon's efforts on their Echo speaker technology. Not only that. It will be able to understand in which mood you’re in -- joy, sadness, annoyance -- and will be able to mimic these feelings too. And as natural language processing advances further -- so natural language processing is the technology behind this -- so as it advances further, the voice-enabled interactions will increasingly be refined.
Now, the second challenge and the biggest, in my opinion, revolves around the breadth of recommendations provided. Will they be able to -- What will be their range of actions? Will they remain limited to very specific tasks, or will they be able to become a true companion across your day to which you can ask whatever you want, whatever you need? For example, taking notes in a meeting or reordering milk or even mental health coaching. Will they be able to provide you recommendations across product categories? Today, companies provide us recommendations within one specific category, for example, that can help us choose between two dresses, between two books. In the future, the smart assistants will actually be able to help us choose between buying a book or buying a dress.
So to be able to deliver this integrated and large range of recommendations, tech teams behind smart assistants will need to design the right algorithms. And these algorithms will need to be powerful enough to process a myriad of data points. To identify patterns, to model courses of actions, and also to learn from end users' feedback. But, a world where smart assistants become unavoidable means new priorities for all companies, not only the smart assistant players. Every business in the future will need to accelerate drastically on data and algorithm, on voice-enabled interactions. And also, they will need to be entrusted by consumers to provide recommendations. This is what I like to summarize in three words, in the three imperatives that are data, tech and trust. So the moment the breadth challenge and the voice challenge get solved will be a tipping point in smart assistant usage and adoption by consumers.
Today, can you live without your smartphone? I assume not, right? In a few years from now, your smart assistant will be a convenient, powerful, reliable helper essential in your day-to-day life. So you won't be able to live without it. And unlike your smartphones, it will be embedded in every device around you. Your smartphone itself, of course, but also your car, the mirrors, your fridge, your glasses and who knows what other device in the future.
So are you ready for a smarter life?
VA: Yes, Karen, I am.
Thank you.
#Future #Machine_Learning #Technology #Algorithm
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