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Artificial Intelligence Tools That Will Transform Your B2B Marketing Operations


When you think of artificial intelligence (AI), do you imagine Will Smith battling humanoid robots? Well, think again…did you know that AI is already being applied in the Internet, helping you go about your daily life without drawing attention to itself? Artificial intelligence simulates traditionally human processes like learning, reasoning and self-correction. Unlike traditional programs, AI-based applications don't need to be continually fed data or manually coded to make changes to their functionality and output. AI can be (and already is) immensely useful to B2B professionals in all industries.

IBM - Data Science Experience, what is it?


Data scientists are tasked with turning raw data into meaningful insight. The latest Forrester Research report states "Data scientists have been plodding through the same process for 20 years" and concluded that the current process is reaching the limits of productivity and scalability. The new generation of data scientists are looking to open source technologies for innovation. Currently, they are spending a lot time in configuring their own environments and finding themselves having to source for critical capabilities from multiple places. In a business environment, this often creates silos and makes it impossible to share work within teams.

Exploiting machine learning in cybersecurity


MIT's Computer Science and Artificial Intelligence Lab (CSAIL) has led one of the most notable efforts in this regard, developing a system called AI2, an adaptive cybersecurity platform that uses machine learning and the assistance of expert analysts to adapt and improve over time. The system uses near-real-time analytics to identify known security threats, stored data analytics to compare samples against historical data and big data analytics to identify evolving threats through anonymized datasets gathered from a vast number of clients. Combining this capability with the data already being gathered by IBM's threat intelligence platform, X-Force Exchange, the company wants to address the shortage of talent in the industry by raising Watson's level of efficiency to that of an expert assistant and help reduce the rate of false positives. This technique gives the cybersecurity firm the unique ability to monitor billions of results on a daily basis, identify and alert about the publication of potentially brand-damaging information and proactively detect and prevent attacks and data loss before they happen.

Machine Learning is Helping Change the Solar Industry – News Center


A startup from California is using GPUs and big data to predict what homes are likely to buy solar panels. PowerScout is using GPUs on the Amazon cloud and cuDNN to train their deep learning models on a mix of data from commercial databases and LIDAR to detect solar panels from satellite images, and to also detect the presence of trees near homes that could cast shade onto roofs. The tools the startup developed can also help estimate how much energy could be harvested from a home's rooftop without needing to take measurements in person with a decent degree of accuracy. From the information, they can target direct mail and online marketing to the most promising customers and quickly give them online estimates. Then, those who are interested in rooftop solar can choose a financing plan and get connected to a local installation partner to have it installed.

WhatsApp: Security experts warn that Facebook's chat app can be insecure, despite Amnesty recommendation

The Independent - Tech

WhatsApp and Facebook Messenger are the most secure chat platforms, according to Amnesty International. But that decision has already met with scepticism from people in the technology community, some of whom have warned that it might not be safe to use the apps at all. Amnesty gave Facebook and WhatsApp a score of 73 out of 100 – its highest – to the two apps, which it didn't distinguish between. But it particularly picked out WhatsApp, which it said was "the only app where users are explicitly warned when end-to-end encryption is not applied to a particular chat". It did have some criticism for Facebook, which doesn't apply strong encryption by default and doesn't warn users that they're not using the most secure technology.