Machine Learning Marketing – Expert Consensus of 51 Executives and Startups -


When it comes to business applications of machine learning, marketing is always near the top of the list. Modern digital marketing offers a huge volume of quantifiable data for teams to work with, and marketing can be said to take precedent over other areas like customer service and business intelligence because of it's direct tie to driving revenue. Machine learning marketing applications are still relatively novel for most small and medium-sized business, but this may change drastically over the next five years. In this expert consensus, we reached out to over 50 executives running companies at the intersection of AI and marketing. Our goal was to determine the applications of machine learning and AI that are driving strong business value now, as well as the applications that would make the biggest different in the next five years.

Using AI To Protect Your Personal Data - DZone AI


How many of us could accurately say what is happening with our data right now? Are we aware of how Facebook, LinkedIn, Twitter and others use the data we share online every day? I suspect the vast majority of us skip past the privacy policy when signing up for websites and are therefore largely in the dark as to how our data is used. It's a quandary that prompted a team of researchers from EPFL, the University of Wisconsin-Madison, and the University of Michigan to develop an AI-driven program to check privacy policies for us. The work, which was documented in a recently published paper, aims to make it easier for users to understand the privacy policies they so often skip past. The team has developed a tool, called Polisis, which can be used for free either as a browser extension or from their website.

AI, Machine Learning and Chatbots to be the future of Online Broking


Dhiraj Relli, MD and CEO, HDFC Securities, feels that a lot of personalised tools have evolved to help the customer achieve his goals and take informed decisions. Whether it is online or offline the customer expects different service standards where they not only compare with other competitors but also from other industries whether it is Uber or E-commerce firms. Brokerages need to partner with Fintech players and plug in the solution in their platforms. The way a brokerage gets information from the customer can be through several modes, face to face chat, phone, online trading or chatbots. " Brokerages need get information from the customer in whatever way he is comfortable," he says.

Artificial intelligence comes in handy for offline retailers too - ETtech


Imagine you walk into aretail store wearing a blue striped shirt and by the time you go to the store help, he is already prepared with half a dozen striped shirts that you could consider buying. This might very well be possible, thanks to a suite of artificial intelligence (AI) based retail in-store products of SaaS provider Capillary Technologies. The company, which recently raised $20-million, has been working on using AI to understand the demographics, footfall and conversations within a retail store to give these stores a helping hand in an era where online players are aggressively expanding their operations. By using these solutions, stores can now attempt to do targeted advertising, produce heat maps, analyse conversations and build unique customer profiles. Capillary is piloting these solutions with an initial few customers.

This $100 Google Assistant-powered Insignia smart speaker is less than $40


Even if you don't have a home packed with smart devices, a smart speaker can still be a great way to play music and get information. So if you're looking for your first one or just want to add to an existing setup, Best Buy is offering its exclusive Insignia Voice smart Bluetooth speaker with built-in Google Assistant for just $36.99 right now. The Bluetooth speaker looks like a standard alarm clock but it comes with Google Assistant built in for hands-free control. Once connected to your smartphone, the speaker can access a variety of popular online streaming services as well as your own Google Play music library to listen to a wide range of music in multiple rooms at once. And if you have other smart devices in your home, you'll be able to control them as well just by asking Google Assistant to turn off the lights or turn up the thermostat.

Machines are coming for your March Madness office pool


March Madness--the NCAA college basketball championship playoffs--is among the most popular sporting events in the US, thanks in part to the wide-ranging contest that has evolved around predicting which teams will progress through the tournament. This year, almost $10.4 million is on the line in office pools or more organized competitions, and more than 40 million Americans will fill out their own versions of the playoff brackets to take part, according to the American Gaming Association. The chances of predicting a perfect bracket, which no one has ever done, are at least 1 in 128 billion and could be as remote as 1 in 9.2 quintillion. Now machine learning is taking a shot. Kaggle, the online platform for predictive modeling and analytics competitions that was acquired by Google parent company Alphabet last year, is hosting a competition for both the NCAA men's and women's tournaments.

Pay what you want to become the master of all things Arduino


Heads up: All products featured here are selected by Mashable's commerce team and meet our rigorous standards for awesomeness. If you buy something, Mashable may earn an affiliate commission. We're pretty big fans of Arduino, the DIY platform that lets you create and control your very own robots, as evidenced by this story about a $50 online class you can take and this one about an e-book collection dedicated to the hobby. Well here we are again, with another great deal for learning Arduino online. The 2018 Arduino Enthusiast E-Book Bundle contains ten e-books that will teach you how to make a wide variety of robotic and hardware projects to impress all your friends and scare all your supervisors.

Artificial intelligence that prevents Internet fraud


To begin with, we need to understand how artificial intelligence works. If we look back at the analytics in 2017, it's clear that machine learning and artificial intelligence are going to be the next big things. They will let us solve almost any problem, be it writing the lyrics of a song or even curing any disease. We all get curious when we see or hear about new inventions. So are those analytics correct, or just aspirational?

Three reasons small businesses can get ahead by embracing AI


When it comes to technology, SMEs exist in a kind of middle ground between agile start-ups and established multi-nationals. In many ways they have the worst of all worlds, feeling outpaced by start-ups, whose businesses are built around this emerging technology, or overpowered by larger competitors, who have much greater resources at their disposal. Too often SMEs are late to the party and left watching their rivals take advantage of new tech trends before they feel ready to take the plunge. Artificial Intelligence, however, presents an altogether different opportunity. Small businesses don't need to spend thousands of pounds on new tech or increase their headcount to benefit from it; they simply need to keep an open mind.

How Integrating Artificial Intelligence In B2B Marketing Can Scale Your Business


Every year, new advancements within the technology space have assisted businesses by creating new opportunities for customer outreach. One of the greatest technologies of our time is Artificial Intelligence (AI) which has been creating quite the buzz in the B2B arena. Even though marketers have tested the waters when it comes to machine learning algorithms, there is still major ground to be covered when it comes to predictive analytics, personalization, statistical analysis as well as lead generation. Given its potential, Artificial Intelligence in B2B sales and marketing is here to transform the way people interact with brands, information, and services. A good handful of enterprise giants dread the idea of automating their marketing functions with the use of Artificial Intelligence, however, by measuring the effect of AI in the customer service industry, one can affirm that understanding customer nuance and deriving insights from relevant customer data will not be entirely manual or managed by humans alone.