With messaging apps on the rise, chatbots are all the hype now. Chatbots are artificial intelligence systems that interact with users via messaging, text, or speech. Many are deployed on chatbot platforms such as Facebook Messenger, WhatsApp, WeChat, Slack, or text messages. Facebook's expansion with Facebook Messenger has been giving businesses the opportunity to better reach their target audience through different APIs, and chatbots are becoming a necessity in certain industries. Despite the complexity of artificial intelligence used to pick content and context from conversations with users, there are a number of platforms and frameworks available to build a sophisticated chatbot.
Artificial intelligence, Machine Learning, and Deep Learning are more than futuristic concepts. These technologies are impacting the insurance industry in a significant way right now and this impact is likely to increase in the near future. The idea of Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL) may fascinate consumers who enjoy talking to their digital while admiring a Nest thermostat. But for the insurance industry, these terms are business-changers that affect products and services offered and interactions with consumers and other industry partners. The definitions of these terms may be a bit confusing to the uninitiated (see sidebar).
In the previous article, I talked about how one can make use of the internet in a highly productive manner (for those who haven't read the article, can take a look here) which can help increase knowledge and open doors for different opportunities as well. Today, I'll be discussing how startups are making use of artificial intelligence and how they are turning their products and services smarter in order to serve the consumers in a better way. The youth and the coming generations are extremely motivated and inclined towards the idea of starting a startup and pursuing the dream of becoming an entrepreneur. Though this dream comes true only with tons of determination and dedication towards the work you do. Many startups have been made in the recent years and each of them offering a unique product or service is making news in the industry.
It's National Customer Service Week this week, and one of the key themes being discussed is the use of AI technology and chatbots for serving customers. One big debate for the week is whether chatbots will or will not eliminate any inadvertent bias in how customers are treated. A new study from AI experts Pegasystems and issued for National Customer Service Week sets out what British customers think. When questioned about previous human customer service interactions, almost half (49%) of British consumers said they have experienced bias as a result of their individual characteristics, beliefs and/or appearance. By contrast, and despite fears that inherent human bias could be transferred onto modern chatbots, only 8% of respondents feel there is a risk that chatbots will be biased.
On October 4th, roughly one year after the introduction of its branded line of hardware products, Google unveiled a second iteration of "Made by Google" hardware. This was a major product launch, but more than that, the presenters repeatedly hammered home Google's AI first messaging mantra with proof points in the form of a second generation branded product line built around AI and machine learning. The company's hardware strategy is clear. Google believes it is uniquely positioned to blend AI Software Hardware to deliver innovative products that will win in the marketplace, even if they are late to market. This second generation of Google hardware provides abundant proof that the company can bring uniquely differentiated features to existing product categories, and maybe even create some new ones.
With the onset of digital advertising, one of the early promises was to reach specific individuals or small groups of individuals, as opposed to a large audience of a broadcast TV or radio show. To fulfill this promise, advertising and marketing technology companies, publishers and brands have been on a quest to solve digital identity. Over the years, various identifiers or combinations of identifiers have been used as the digital identifiers of choice. These include cookies and supercookies, email addresses, UDID (unique device identifier), IMEI (international mobile equipment identity), PII (personally identifiable information such as email or phone number) advertising IDs and social media IDs (Twitter handles, Facebook IDs, etc.). For each identifier, there are pros and cons, particularly around consumer privacy, siloed data collection and the ability to market to these identifiers.
Artificial intelligence is not a new concept. Sci-fi fans have been well acquainted with its principles since Isaac Asimov started getting books published, and more recently a generation that has grown up on video games has spent countless hours trying to outsmart AI entities. But in recent years AI has really come to the forefront of consumer electronics with the emergence of voice-controlled virtual assistants like Apple's Siri and Amazon's Alexa. These have quickly become prominent user interfaces across a range of devices, and are only becoming more important as consumers seem increasingly intent on leaving typing behind. Now, the field of AI represents an escalating arms race between a number of high-profile tech companies, with some smaller firms getting in on the action, too.
You don't have to look too far back to find a time where the idea of living alongside advanced, intelligent robots was little more than a fantasy. But in today's automated world, businesses and consumers have little choice but to accept that this will be, and perhaps already is, the case. It's very difficult to name an industry that hasn't been affected by advanced robots in some way, and now consumers are integrating smart machines into their homes. Combined with artificial intelligence, the clever bots we already encounter today will only get smarter. So, what does a robot reality look like?
Google will sell its new Pixel 2 and Pixel 2 XL devices at pop-up stores starting Oct. 19, the company announced. Since Google doesn't have hardware stores like Apple, Google will instead open up temporary locations to sell its newest smartphones and "all things made by Google," the search engine company said on Twitter using the hashtag #googlepopup. Where Are The Google Pop-Up Stores? Google will open up two location in the U.S., one in New York City and one in Los Angeles. The New York pop-up store will be located at 110 Fifth avenue in Manhattan, while the California shop will be located at 8552 Melrose Avenue in West Hollywood.
There's growing excitement – admittedly, at times, borderline hype – about what artificial intelligence can, and will, do for businesses. While speculation abounds among pundits, journalists, and'thought leaders' surrounding the impact that AI will have on jobs (CBInsights predicts 10 million jobs are at risk in the next 5-10 years), there's relatively little analysis of the tangible effect AI will have on marketer's day-to-day work, and the opportunity to'upskill' us all. Writing exclusively for ExchangeWire, Gareth Davies (pictured below), founder and CEO, Adbrain, explains why and how artificial intelligence can realise tangible benefits for marketers. Today's marketers will benefit by navigating an increasingly AI-centric (and AI-literate) world where bots, intelligent software and machine learning play an increased role in the marketing function. To help you cut through the noise, here are some tangible examples of where AI is likely to become a relevant part of the modern marketers' workflow, as well as ideas on how to better understand and qualify the impact that AI can have on your business.