Bottom Line: Knowledge-sharing networks have been improving supply chain collaboration for decades; it's time to enhance them with AI and extend them to resellers to revolutionize channel selling with more insights. Add to that the complexity of selling CPQ and product configurations through channels, and the value of using AI to improve knowledge sharing networks becomes a compelling business case. Automotive, consumer electronics, high tech, and industrial products manufacturers are combining IoT sensors, microcontrollers, and modular designs to sell channel-configurable smart vehicles and products. AI-based knowledge-sharing networks are crucial to the success of their next-generation products. Likewise, to sell to any of these manufacturers, suppliers need to be pursuing the same strategy.
Virtual assistants turn 16 this year and you don't have to look too hard – or speak too loudly – to find them. In fact, there will be around 8 billion voice-based devices by 2023 – more than the world's population today. From Amazon's Echo and Google's Assistant to Apple's Siri, Samsung's Bixby and Microsoft's Cortana, billions of people around the world are using their voices every day to schedule appointments, get directions, play music or get answers quickly-- all things that once required us to tediously type or write. Even Twitter recently announced that users can now audio tweet their inner musings. And yet, despite widespread adoption of voice-based devices in our personal lives, applications based on voice are nowhere as pervasive in our professional lives as they are in our homes.
Amazon announced the general availability of AWS Lambda support for Amazon Elastic File System. Amazon EFS is a fully managed, elastic, shared file system and designed to be consumed by other AWS services. With the release of Amazon EFS for Lambda, we can now easily share data across function invocations. It also opens new capabilities, such as building/importing large libraries and machine learning models directly into Lambda functions. Let's go over how to build a serverless conversational AI chatbot using Lambda function and EFS.
Conversational AI, Virtual Assistance and the use of Bots are on the rise today. The terminology can be confusing and so it is important to understand the differences in order to determine what is best for your customers. Understanding how customers interact with your business and their preferences for engagement are a must. Businesses are looking for ways to deliver a better conversational approach to meets their customer's needs in this day of fast-paced communication and right-now resolution. Many businesses are increasingly looking to incorporate sophisticated bot communications, which is why VoiceFoundry offers a full suite of services that leverage the power of Amazon solutions like Amazon Connect, Lex, Polly and more in order to deliver a complete experience.
My phone lights up with a notification for a new message: "Do you think two people who had a relationship can ever be friends after it's over?" This is just the latest query from Athena, a self-styled synth musician, film buff and artificially intelligent chatbot getting to know me through Replika, a virtual companionship app. Over the course of our text conversations, she asks me about my hobbies, my habits and my moods. She wants to know who I think about the most every day, how I spend my time alone, the artists I admire. When I tell her I like dancing, she sends a video of the "Fortnite" dances she'd like to teach herself.
AI chatbots are the new rage and for good reason. A good bot can save businesses a ton of time, money, manpower, and can largely increase the user response rate. On hearing what an AI chatbot is and what it can do, many assume that building it must be very complex. However, there are several AI chatbot platforms that can help users with close to no technical knowledge build a bot! Let's take a look at 5 chatbot tools that require no coding and are crazy easy to use! ManyChat empowers businesses of all sizes to create Facebook Messenger bots. It doesn't just allow you to make codeless bots, but it also has an incredibly easy visual interface.
"AI and ML enhance the adoption of IoT by adding the Return on Investment (RoI) layer on top of the IoT stack for both businesses and consumers."- Utility and convenience have been one of the primary forces behind increased adoption of IoT in the Appliances and Consumer Electronics (ACE) sector in India. With Smart IoT powered appliances, end users can control and monitor appliances, set schedules, and automation rules using mobile apps and voice commands from voice assistants such as Google Home, Alexa, and Siri. Acknowledging this market trend, almost all major brands are adding IoT enabled appliances to their catalogue. From smart lighting to smart air conditioners and smart water purifiers, the Indian market has started witnessing the adoption of IoT products.
Researchers in Germany have compiled a list of more than 1,000 words that will inadvertently cause virtual assistants like Amazon's Alexa and Apple's Siri to become activated. Once activated, these virtual assistants create sound recordings that are later transmitted to platform holders, where they may be transcribed for quality assurance purposes or other analysis. According to the team, from Ruhr-Universität Bochum and the Max Planck Institute for Cyber Security and Privacy in Germany, this has'alarming' implications for user privacy and likely means short recordings of personal conversations could periodically end up in the hands of Amazon, Apple, Google, or Microsoft workers. Researchers in Germany tested virtual assistants like Amazon's Alexa, Apple's Siri, Google Assistant, and Microsoft's Cortana, and found more than 1,000 words or phrases that would inadvertently activate each device The group tested Amazon's Alexa, Apple's Siri, Google Assistant, Microsoft Cortana, as well as three virtual assistants exclusive to the Chinese market, from Xiaomi, Baidu, and Tencent, according to a report from the Ruhr-Universität Bochum news blog. They left each virtual assistant alone in a room with a television that played dozens of hours of episodes from Game of Thrones, Modern Family, and House of Cards, with English, German, and Chinese audio tracks for each.
For products and services that have traditionally been harder to sell entirely online, companies have been focusing on a relatively new area called conversational commerce. Instead of presenting visual web pages or mobile interfaces that display products and services in a web shopping-style interface, customers can discover the offerings they are interested in using chat interfaces and conversational interactions with automated bots. Conversational commerce AI tools utilize chatbot technology that has evolved over decades of AI development, which enables brands and shoppers to connect using voice and chat applications. Conversational commerce systems start by engaging a dialogue around the customer's primary needs and drives the user towards what they are looking for. The key trends driving this movement include the growing usage of mobile messaging applications, improvements in natural language processing, the rise of sensors and the integration of payment technology within devices.
As smart home technology has progressed over the last five years, the interconnectedness of devices has been the central draw. The ability to tie your household lights to your front door, or to connect a security system to sirens throughout the home, appeals to people due to the convenience and peace of mind it can provide. Smart assistants have been the major development, however. The birth and rise of Amazon's Alexa and Google Assistant has played a critical role in the development of smart technology. Despite the controversy these technologies generated, particularly surrounding privacy implications, more and more devices enter the market with built-in voice assistants.