Warc's'Toolkit 2017', in association with Deloitte Digital, indicates that more than half of global CMOs said they expected the impact of Artificial Intelligence (AI) on marketing and communications to be greater than the impact of social media. Machine learning is already being applied to programmatic trading and we have seen brands such as Aviva in the UK improve its media efficiencies as a result. The report, produced in association with Deloitte Digital, brings together the best of Warc's content over the past year – the latest ideas, research and examples. The result is a guide to current thinking in each area, and the implications for marketers. Warc's'Toolkit 2017', in association with Deloitte Digital, indicates that more than half of global CMOs said they expected the impact of Artificial Intelligence (AI) on marketing and communications to be greater than the impact of social media.

Evernote has reversed proposed changes to its privacy policy that would allow employees to read user notes to help train machine learning algorithms. The changes to the privacy policy were to come into effect on Jan. 23. The company plans to revise in the coming months its existing privacy policy to reinforce that customers' data remains private by default, and "confirm the trust they have placed in Evernote is well founded." By late Thursday, however, O'Neill was taking measures to fix the crisis caused by the proposed policy change. "We announced a change to our privacy policy that made it seem like we didn't care about the privacy of our customers or their notes. This was not our intent, and our customers let us know that we messed up, in no uncertain terms. Evernote has reversed proposed changes to its privacy policy that would allow employees to read user notes to help train machine learning algorithms. The changes to the privacy policy were to come into effect on Jan. 23. The company plans to revise in the coming months its existing privacy policy to reinforce that customers' data remains private by default, and "confirm the trust they have placed in Evernote is well founded." By late Thursday, however, O'Neill was taking measures to fix the crisis caused by the proposed policy change. "We announced a change to our privacy policy that made it seem like we didn't care about the privacy of our customers or their notes.

Microsoft has released a set of 100,000 questions and answers that artificial intelligence researchers can use in their quest to create systems that can read and answer questions as well as a human. The MS MARCO dataset is available for free to any researcher who wants to download it and use it for non-commercial applications. Majumder said the ability for systems to answer complex questions could augment human abilities by helping people get information more efficiently. These datasets can be used to teach artificial intelligence systems to recognize questions and formulate answers and, eventually, to create systems that can come up with their own answers based on unique questions they haven't seen before. MS MARCO is modeled on similar training sets that were created to help spur breakthroughs in other areas of machine learning and artificial intelligence.

A couple weeks back, I spent a couple of days in San Francisco for the IBM Watson Developers Conference and our nation's largest AI business conference: AI World Conference and Expo. I met a handful of the very brightest -- and most prominent -- members of the AI community: Qualcomm Ventures Partner, Patrick Eggen; NVIDIA VP & GM, Jim McHugh; PwC Global & US Consulting Analytics Leader, Paul Blasé; IBM Fellow and IBM Watson VP and CTO, Rob High; Baidu Senior Researcher and Head of Systems, Gregory Diamos; Artificial Solutions CEO Lawrence Flynn and CMO Andy Peart; Steve Ardire, Advisor to Software Startups to name a few. They blew my mind with what they had to share! I consolidated key highlights from my chats -- and general sessions -- into 10 things you need to know about the enterprise AI world. To address the need, NVIDIA built the DGX-1 supercomputer which packs the horsepower of 250 servers.

Recently we wrote about the development of AI and neural nets beyond the second generation Convolutional and Recurrent Neural Nets (CNNs / RNNs) which have come on so strong and dominate the current conversation about deep learning. Our research shows that the next generation of neural nets is most likely to be led by Spiking Neural Nets (SNNs) that are a return to the'strong' AI tradition and closely mimic actual brain function. Unlike CNNs that fire signals to every one of their deep layer connections every time, SNNs are modeled after the fact that in the brain neurons do not constantly communicate with one another. Rather they communicate in spikes of signals or more correctly short trains of spiking signals. As each spike in the train arrives at a neuron it raises the potential of that neuron until finally a spike arrives that tips it over its potential threshold and it in turn fires, propelling the signal onward.

Silicon Valley's CEOs are just like CEOs everywhere: banal financial engineers, not superheroes and supervillains The financialization of everything is just as real in the boardrooms of technology as it is everywhere else; though the deferential press likes to paint the tech-sector leaders as geniuses, superheroes (Elon Musk as Iron Man), and super-villains (Peter Thiel as Lex Luthor), the reality is that they're basically run-of-the-mill financial engineers, whose major creation […]

Chatbots have captivated the tech world. Facebook, Google, Apple, Microsoft, Amazon, and IBM all heavily invest in conversational platforms. Thousands of developers, businesses, and brands build bots to engage users, but one fact is clear... According to Botanalytics, 40 per cent of a bot's users disengage after one interaction. With thousands of bots launching every month, what growth strategies distinguish successful from useless ones?

What is normal for a machine (or the System under observation) is environment-dependent and ever-changing in real life!

NEW YORK: Microsoft has released a set of 100,000 questions and answers that artificial intelligence (AI) researchers can use to create systems that can read and answer questions as precisely as a human. "The dataset is called MS MARCO, which stands for Microsoft MAchine Reading COmprehension, and can be used to teach artificial intelligence systems to recognise questions and formulate answers and, eventually, to create systems that can come up with their own answers based on unique questions they have not seen before," said Microsoft in a blog post. By providing realistic questions and answers, the researchers said they can train systems to better deal with the nuances and complexities of questions regular people actually ask, including those queries that have no clear answer or multiple possible answers. "Our dataset is designed not only using real-world data but also removing such constraints so that the new-generation deep learning models can understand the data first before they answer questions," added Li Deng, Partner Research Manager of Microsoft's Deep Learning Technology Centre. The MS MARCO dataset is available for free to any researcher who wants to download it and use it for non-commercial applications, Microsoft said.

In an ideal workplace scenario, every employer wants to hire the'right' candidate. With success in today's market hinged on having the right talent on board, organizations cannot afford to hire average or low performers. Getting the right talent on-board, and also in a cost and time-effective manner is a task that is getting more complex with steady rise in the number of applications for each job and the sophisticated nature of the competencies required for various job roles. A typical recruitment process today post sourcing revolves around shortlisting a candidate through his/her resume, interaction with a couple of line managers and pre-hiring checks. These interactions, however, do not guarantee any quantifiable indicators of the skills and competencies of a candidate or his/her ability to do a specific job.