Chatterbox Labs is a Cognitive data science company focused on delivering real world business outcomes that drive multi-million dollar outcomes. As a company we often find ourselves explaining the key differences between RPA and Cognitive. Fundamentally, RPA and Cognitive are two completely different offerings that both have merit, however, we describe RPA as the "Finger Tapping" as opposed to the "Brain Mapping" of Cognitive. RPA is a different and lower value proposition compared to Cognitive. Cognitive is built and ready to address 90% of the worlds data that is unstructured and not monetized…..RPA cannot address this market Cognitive is focused on processing 148K documents per second and achieving accuracy of 80% which is higher than human accuracy.

Researchers at MIT's Computer Science and Artificial Intelligence Laboratory have created a device that can read human emotions using wireless signals. The EQ-Radio reads subtle changes in breathing and heart rhythms to figure out if a person is happy, excited, angry or sad. The device measures heartbeats like an ECG monitor with a margin of error of 0.3 percent. It then analyzes the waveforms within each heartbeat to determine the person's emotion. "Our work shows that wireless signals can capture information about human behavior that is not always visible to the naked eye," project lead Dina Katabi, who co-wrote a paper on the topic with PhD students Mingmin Zhao and Fadel Adib, said in a statement Tuesday.

Recommendation systems allow executives and manager to recommend products their customers will like, and in the process take the guesswork out of marketing efforts - but they're still underused, and often under perform. We explain their use cases, how they work, why they might fail, and how to solve these issues. In a world dominated by mail, social media, youtube ads, chat applications and other communication technologies, marketing executives and managers have never had more ways of reaching out to customers. Yet this explosion in communication channels is a mixed blessing: while customers can be reached more easily, marketing teams also need to tailor their message much more than a decade ago: gone are the days of "one message to every customer". Non-tailored messages are often considered like junk or spam, and have become largely ineffective at driving sales.

Wipro will leverage the Vectra automated threat management platform built with artificial intelligence-based on machine learning and behavioral analytics to detect attacker behaviors and user anomalies in the network. According to Gartner, "most enterprises have limited capabilities to detect and respond to breaches when they inevitably occur, resulting in longer'dwell times' and increased damage." We believe organizations these days incur significant fines because they do not have adequate solutions to detect breaches or cannot contain them in a reasonable period. Gartner also says that by 2020, 60% of enterprise information security budgets will be allocated to rapid detection and response approaches -- up from less than 10% in 2014.1 As threats became more intelligent and sophisticated, traditional security solutions will become inadequate over time because they will continue to make snap judgments based on incomplete information. Wipro's'Threat Hunting as- a- Service' offering, powered by Vectra Networks, provides enterprises with an automated threat hunting platform for real-time detection of threats.

For business environments, many tasks are already being performed through the automated functions of intelligent machines, such as scheduling, report compilations and invoice tracking. Increased productivity is the common goal for any competitive enterprise, and for business, the benefits of automation are clear: allow for tasks to be completed faster in a way that is cost-effective and error-free. AI enables the cost-cutting automation of routine work but can also empower value-adding augmentation of human capabilities. Tasks such as scheduling, allocating resources and generating reports across business sectors have typically been reserved for humans but can now fall within the remit of intelligent processes to execute.

Futurists and science fiction writers have always looked ahead to predict how machines could augment the way people live and work. Still, a future where technology fully replaces physical work is distant, but it's no surprise that Artificial Intelligence (AI) has become a bit of a buzzword among technology and business circles lately. The topic of AI often generates strong reactions, with proponents who note its boundless potential reach and others who see it as a nadir for the global workforce. However, industries across the board have noted the potential of AI and how it will impact enterprises at the core. According to Narrative Science, 44 per cent of executives believe artificial intelligence's most important benefit is'automated communications that provide data that can be used to make decisions'.

Google Allo is a smart messaging app that is based on users' phone numbers so they can basically use it to get in touch with anyone in their phonebook. 'When you chat in Incognito mode, messages have end-to-end encryption and additional privacy features like discreet notifications and message expiration' – AMIT FULAY, GOOGLE Or it may be able to suggest a Smart Reply based on what's going on in a photo, for example if it is a pet a Smart Reply could be "aww cute!" Not just an attack on WhatsApp and Facebook Messenger, Google's Allo is also taking a shot at Snapchat in terms of photos, emojis and stickers. "When you chat in Incognito mode, messages have end-to-end encryption and additional privacy features like discreet notifications and message expiration," Amit Fulay, group product manager for Google Allo explained.

Time and again, we have seen and read about many natural disasters that have caused great havoc in the world, killing thousands of people and destroying properties and livelihood. Despite the fact that the human race has made tremendous technological progress in various fields, predicting and preventing natural disasters is one area where we haven't been able to surpass the supremacy of Nature. Despite the technological and scientific advancements in this field, and ground breaking developments in weather forecast techniques, disasters at many times cannot be accurately predicted. Dark days for India Any Indian won't easily forget the destruction caused by the tsunami in Southern India which was triggered by a major earthquake in 2004 and the back-to-back floods in Uttarakhand and Kashmir in 2013 and 2104 respectively. Damages of these floods ranged from 7 billion to 15 billion, impacting more than 2 million Indians.

Artificial intelligence is all the rage in technology and as it progresses at a dizzying pace, the industry is at danger of being overhyped, say researchers. Speaking at a symposium about AI in bioscience, ex-IBM Watson veteran and head of technology at benevolent.ai, Jérôme Pesenti, warned the audience to have a healthy scepticism about developments in AI. There are great achievements in AI, but in reality the technology is probably "two steps behind PR", Pesenti said. Overselling AI can lead to bogus demos and give unrealistic expectations, he added. "People start with the expectations that AI can do everything. But nothing can do everything - even Watson had its limits."

The asset management industry is currently facing an era of rapid transformation that has the potential to change it out of all recognition. For many fund management firms, there will be a choice between embracing such change, or becoming redundant. We have already seen similar revolutions in other sectors: Amazon has completely re-written the rules of the book retailing world, Netflix has put the video store out of business, and Uber is in the process of revolutionizing the way we use taxis. For many businesses in these sectors, there was a hard choice to be made – adapt or die. Such revolutions tend not to emerge from the established companies that dominate sectors. In my father's business, airlines, the dominant players hoped to shield themselves through established practices that made it tougher for upstarts to change the way the aviation industry served its clients: the rise of the low-cost airline has forced airlines to adapt, many of them launching their own low cost carriers.