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Personal Assistant Systems

Has AI arrived for financial services?


When will artificial intelligence really have'arrived'? For a long time, this was a question for philosophers and computer scientists, pondering over whether passing the Turing test truly indicates intelligence, or debating about how broad our definition of artificial intelligence should be. Over the last several years, however, this question has changed considerably: with the advent of consumer AI tools such as virtual assistants and the increasing availability of off-the-shelf solutions offering to bring the power of AI to business operations, the issue has become less philosophical, and much more pragmatic. Now, for business leaders, it is often a matter not of whether to respond to the arrival of AI, but of how to respond to the arrival of AI. The promise is, of course, huge.

How To Improve Channel Sales With AI-Based Knowledge Sharing Networks


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.

AI is Transforming Digital Marketing Landscape in 2020 - The Next Scoop


Understanding text, images, and sounds is not a uniquely human prerogative anymore. Artificial intelligence is transforming virtually every business. AI's ability to derive data-driven insights is paving the road to better digital marketing. From the vast data analysis, marketers gain valuable consumer insights and change how they connect brands with their audiences. Why artificial intelligence cannot be separated from digital marketing anymore?

How Marketing AI Will Transform Your Lead Generation (and Conversion)


Artificial intelligence is about to change lead generation and conversion as you know it. In the process, it'll have a transformative impact on companies and careers. AI is a blanket term that covers several different technologies. You might have heard of some of them, like machine learning, computer vision, and natural language processing. Even if you don't know much about it, though, you probably use AI-powered technology dozens or hundreds of times per day.

Voice + AI Is Coming To The Workplace Loud And Clear


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.

Learn How To Optimize Your Content for Voice Search


Voice search is on the rise. We all have known this for ages but the voice search market may actually be growing faster than we expected. Throughout the last few years, smart speakers have been taking the market by storm. With the emergence of Amazon's Alexa (powered by Bing search), Google's Homepod, and Apples' Homepod (both powered by Google), voice search is naturally seeing unprecedented growth. And the growth is likely to surge in the next few years. Companies have already started to fine-tune their marketing and SEO strategies to accommodate this new technology.

How Machine Learning Impact Product Personalization


Machine learning-based personalization has gained traction over the years due to volume in the amount of data across sources and the velocity at which consumers and organizations generate new data. Traditional ways of personalization focused on deriving business rules using techniques like segmentation, which often did not address a customer uniquely. Recent progress in specialized hardware (read GPUs and cloud computing) and a burgeoning ML and DL toolkits enable us to develop 1:1 customer personalization which scales. Recommender systems are beneficial to both service providers and users. They reduce transaction costs of finding and selecting items in an online shopping environment and improves customer experience.

8 actually good things about dating in 2020, so far


When I reflected on the past decade of dating at the end of 2019, none of us had any idea what was in store for us at the start of this year. Take your mind on a journey back to the far-off time of last year. Dating was still considered to be a bad time by many. Online dating and apps -- now the most popular way couples meet -- had long been blamed for hookup culture and fostering an environment where ghosting ran amok. If people (by and large men) weren't ghosting, then they were probably sending messages horrible enough to warrant public shaming.

Researchers compile list of 1,000 words that accidentally trigger Alexa, Siri, and Google Assistant

Daily Mail - Science & tech

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.

The Case For Smart Assistants in Every Device


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.