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Information Technology

Basic Ways AI Disrupts Our Cybersecurity Practices


Artificial Intelligence, the term which first originated in the 1950s has now emerged as a prominent buzzword all over the world. More than 15% of companies are using AI and it is proving to be one of the most powerful and game-changing technology advancements of all time. From Siri to Sophia, the technology has people noticing it and wondering how this will impact their future. Presently, Artificial Intelligence is seen everywhere. Major industries like healthcare, education, manufacturing, and banking are investing in AI for their digital transformation. Cybersecurity, being the major concern of the digital world, is still uncertain about the impact AI will have on it. With the fast-growing cyber attacks and attackers, cybercrime is growing to become a  massively profitable business which is one of the largest threats to every firm in the world. For this very reason, many companies are implementing Artificial Intelligence techniques which automatically detect threats and fight them without human involvement. How AI Is Enhancing Cybersecurity Artificial Intelligence is improving cybersecurity by automating complicated methods which detect attacks and react to security breaches. This leads to improvement in monitoring incidents leading to faster detection of threats and its consequent responses. These two aspects are quite essential as they minimize the damages caused. Various Machine Learning algorithms are adapted for this process depending on the data obtained. In the field of cybersecurity, these algorithms can identify exceptions and predict threats with greater speed and accuracy.

What Marketing Executives Need To Know About Adopting AI Technology


Netflix recommends your next binge based on the show you watched last night. Amazon convinces you to buy three more items that align with your buying habits. And ride-share apps like Uber or Lyft analyze your location and connect you with a driver heading your direction.

'DeepSqueak' A.I. Decodes Mice Chatter


In what is somehow the cutest science story of the new year so far, scientists at the University of Washington have announced a new artificial intelligence system for decoding mouse squeaks. Dubbed DeepSqueak, the software program can analyze rodent vocalizations and then pattern-match the audio to behaviors observed in laboratory settings. As such, the software can be used to partially decode the language of mice and other rodents. Researchers hope that the technology will be helpful in developing a broad range of medical and psychological studies. Published this week in the journal Neuropsychopharmacology, the study is based around a novel use of sonogram technology, which transforms an audio signal into an image or series of graphs.

YouTube now lets creators respond to comments with AI-generated smart replies


Google is making it easier for YouTube creators to engage with their audience and quickly reply to comments under their videos. The company is rolling out Smart Reply -- an AI-powered feature designed to help users generate appropriate replies without actually typing -- to YouTube Studio. Here's what the implementation looks like: Unlike Smart Reply for Gmail, YouTube's integration supports multiple languages. For the time being, Smart Reply for creators only works in English and Spanish, but it seems Google plans to add more options in the future. In a blog post, Google researchers explained they had to come up with a whole new language-processing model to accommodate for the common usage of emoji on YouTube.

Regain Power - OKRA


For far too long, sales reps and commercial managers in the pharmaceutical industry have had their responsibilities eroded by wave after wave of IT implementations, each one supposedly making life easier - but doing the exact opposite. The time has come for a more intelligent solution. It's time for technology to empower, not overrule. It's time for sales and marketing managers to regain control. Single black-box'next best actions' which dictate and disempower If you want to re-empower your sales and marketing staff with a smarter generation of technology, enter your details.

Tilia Labs Launches AI-Driven Imposition Solutions for HP Indigo Presses


Central to the collaboration with HP Indigo is Tilia Labs' flagship software tilia Phoenix. This is planning and imposition software that uses AI technology to reduce cost and optimize production in all print segments including packaging, labels, commercial, and wide format printing. Its AI-generated layouts eliminate the need for template-based imposition, instead dynamically adapting to manufacturing requirements and constraints – an innovation that earned tilia Phoenix a 2019 InterTech Award. HP Indigo customers benefit from AI technology Designed by Tilia Labs to be powerful and dynamic, tilia Phoenix's Imposition AI works quickly enough to keep up with the fastest presses on the market. For albelli of The Hague in the Netherlands, this means delivering automated, multi-lane impositions on-the-fly to their HP 50000 Digital Press - printing up to 770 duplex color/ 2300 mono pages per minute.

Multi-Label Classification


Classification has been a go-to approach for various problems for many years now. However, with problems becoming more and more specific a simple classification model can't be the solution for all of them. Rather than having one label/class for an instance, it's more appropriate to assign a subset of labels for an instance. This is exactly how multi-label classification is different from multi-class classification. For example, Classifying if a piece of audio file is a music file or not is a classification problem while classifying all the genres of forms in a piece of fusion music is a multi-label classification.

5 AI Chatbot Platforms that are Really Easy to Use


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.

How to Use AI & Machine Learning to Make Social Media Marketing Decisions


Northern Light CEO C. David Seuss presented a virtual session at The Market Research Event (TMRE) Digital Week on June 24, about the value of new, AI-driven tools for "decision-oriented analysis" of social media posts to help set and refine an organization's product marketing strategy. Seuss' talk, entitled "Using Machine Learning to Make Social Media Marketing Decisions," focused on analyzing Twitter – the most text content-rich social media platform – for the specific purpose of gleaning business insights valuable to marketing professionals. "Assessing simple co-occurrence of Twitter hashtags is insufficient, and often downright misleading, for marketers of complex products," Seuss asserted in his presentation. "Understanding the context of the social media conversation is vital to derive a truly meaningful analysis of hashtag and keyword overlaps." Seuss explained that using AI and machine learning techniques to measure the semantic similarity of hashtags leads to far more accurate analysis that gets at the importance, from a business perspective, of seemingly related terms.