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Alexa Voice Controls Reach Out To Low-Powered Devices

AWS is also introducing more connectivity and control services to make life easier for IoT developers

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Amazon Alexa
Amazon Alexa, known simply as Alexa, is a virtual assistant developed by Amazon. Pixabay

To the delight of third-party developers, Amazon’s Cloud arm Amazon Web Services (AWS) has decided to bring Alexa voice control capabilities to low-powered devices.

Currently, Alexa Voice Service (AVS) has a minimum requirement of at least 100MB of on-device RAM and an ARM Cortex “A” class microprocessor, reports SiliconANGLE.

Amazon is also expanding the capabilities of its AAWS IoT Greengrass service, which extends AWS functions to connected devices.

“When you know the state of your physical assets, you can solve a lot of things,” AWS Vice President of IoT Dirk Didascalou told SiliconANGLE.

“You can also create a lot of new services. A lot of our customers have this need,” he added.

To cut back on costs, Amazon is transferring tasks such as processing requirements, retrieving, buffering, decoding and mixing audio on devices to the cloud, making voice control, and potentially biometrics, possible even for light switches, the report added.

Amazon alexa
Amazon Web Services offers reliable, scalable, and inexpensive cloud computing services. VOA

AWS customers can also create their own machine learning image analysis thanks to a new feature added to Amazon Rekognition called Amazon Rekognition Custom Labels, available from December 3.

AWS is also introducing more connectivity and control services to make life easier for IoT developers.

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These include Fleet Provisioning for AWS IoT Core, which makes it simpler to onboard a wide range of connected products, be it vacuum cleaners or construction excavators, the report mentioned.

AWS is set to kick off its flagship annual re: Invent conference here from Dec 2. (IANS)

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Is Oracle Digital Assistant Smarter Than Amazon Alexa? Find Out Here!

Here's Why Oracle's digital assistant better than Amazon's Alexa

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Amazon and oracle
Amazon Alexa may lag behind Oracel Digital Assistant. Pixabay

Alexa may be your perfect living room assistant, but when it comes to specific queries with particular vocabulary from enterprises, it lags behind in rich capabilities that Oracle Digital Assistant (ODA) has to offer, a top company executive has stressed.

Oracle Digital Assistant can become your intelligent front-end — your smart router that’s able to send all your specific questions to relevant bots, according to Suhas Uliyar, VP-Product Management, Oracle Digital Assistant and Integration Cloud.

“It knows how to handle conflicts, manage security and so on and so forth. It has got Artificial Intelligence (AI) and is AI-trained so we call the routing of your questions to be relevant, and call it a skill now. Instead of bot, it’s a skill,” Uliyar told IANS during an interaction.

According to him, there are a couple of differences compared to Alexa as it works on the same model.

“Alexa is very implicit, where you have to say — Alexa, ask this skill to do something. While Oracle Digital Assistant is both explicit and implicit and you don’t need to sort of say ‘go ask the HCM (Human Capital Management) bot,’ for instance. It’ll just figure out that the question is for HCM bot and will answer accordingly,” Uliyar elaborated.

The other thing is to use the word ‘assistant’ and, according to him, we are overloading the term ‘assistant’ because if you have an ‘assistant’, she or he is smart enough to understand who you are, what your preferences are, know how you work.

“Most of the chatbots respond to a simple question and answer. Next time, it will probably remember who you are. So, the whole context is memory, and also the process side of things,” the Oracle executive added.

Oracle Digital Assistant provides the platform and tools to easily build AI-powered assistants that connect to your backend applications.

The digital assistant uses AI for natural language processing and understanding, to automate engagements with conversational interfaces that respond instantly, improve user satisfaction, and increase business efficiencies.

Most of those voice-enabled application programming interfaces (APIs) are being trained using what’s called Open Common Domain Models, which means that it understands our normal speaking style and content.

“What if an enterprise has a specific vocabulary? For example, a very common thing in Enterprise Resource Planning (ERP) is what’s EBITDA for a company. You try saying EBITDA to Alexa or any other such assistant in the market today, and you’ll most likely draw a blank,” Uliyar told IANS.

Oracle AI
Oracle digital assistant uses AI for natural language processing and understanding. Pixabay

Earnings before interest, tax, depreciation and amortization (EBITDA) is a measure of a company’s operating performance.

According to him, to serve customers with delightful experiences every single time, there has to be a lot of innovation happening — whether it’s mobile, chatbots, Blockchain, AI or AR/VR.

“With all these new realities, what enterprises really need is a platform that can pull that ‘holistic experience’ altogether. That’s sort of the topmost challenge that enterprise customers want to solve,” he noted.

Oracle Digital Assistant is very sophisticated. It has got deep learning and is based on a technology called Sequence-to-Sequence vectoring and creates what we call as logical forms of the statement.

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“We call it a deep semantic parsing. It’s the underlying technology and is very different given the advancements of deep learning. We can do a much better job instead of understanding the linguistic constructs, versus in the past. This is quite a bit of advancement. We’re definitely very excited about pushing the boundaries,” said Uliyar. (IANS)