Respondents were asked what they saw as the biggest area of opportunity for Big Data in comparison to traditional systems, with 62% agreeing that they consider real time analysis as the biggest area of opportunity today. "It's not long ago we were visiting enterprises and having to explain why they should look at big data. Today in 2016, Big Data Analytics is already considered a necessity to remain competitive by 63% of organizations," explains Serge Haziyev, VP Technology Services, SoftServe. "It's very encouraging that machine learning has featured so prominently in this survey. I find that businesses that take the plunge and implement machine learning techniques realize the benefits early on – it's a big step forward because it delivers prescriptive insights enabling businesses to not only understand what customers are doing, but why."

Microsoft and Google have announced plans to expand their machine learning capabilities, through acquisition and new research offices respectively, reports Telecoms.com.

Pendo is bringing the attention to what really matters today: data liquidity, which Pendo defines as liberating data by sophisticated matching and search providing for API's and open standards. Pendo is pleased to announce Version 3.1 of the Pendo Data Platform (PDP), surfacing new abilities in the user-friendly web UI incorporating Artificial Intelligence (AI) attacking the battle of aggregation and intelligent machine learning in gathering of Excel spreadsheets. "AI is a magnitude more complex than machine learning," states Pamela Pecs Cytron, CEO of Pendo Systems. When you model the mind you can create systems capable of learning everything about the world. It is a much smaller task, since the world is very large and changes occur behind your back, which means World Models will become obsolete the moment they are made.

"In 2016, selecting the top achievers was extremely difficult," said Alex Vieux, publisher and CEO of Red Herring. "The variety, depth, disruption and traction we saw from the early stage companies to those with significant scale made it one of the toughest vintages to judge. The North America winners are representative of the amazing ecosystem that never ceases to astound, with new and experienced entrepreneurs continuing to push the barriers of innovation. As one of the winners, Armorway should be proud of its accomplishment under such strong competition." Red Herring's editorial staff evaluated companies on both quantitative and qualitative criteria, such as financial performance, technological innovation and intellectual property, DNA of the founders, business model, customer footprint and market penetration.

"Knowledge workers spend a significant amount of time searching for information, either through standard search engines or through specialized tools", said Pablo Brenner, co-founder of Collokia. "In many situations, co-workers have already searched for similar information, but the work is recreated because there is no knowledge or experience sharing, leaving them unaware. Collokia s platform automatically identifies such collaboration opportunities and eliminates the time wasted on redundant research efforts. For example, when searching for a specific subject, Collokia alerts users to similar activities that have already been completed, offering recommendations and connecting them with others within the organization that have expertise on the information they are seeking." In contrast with most collaboration platforms where sharing information requires extra effort by the employee, Collokia s knowledge mapping, collection and distribution is completely transparent and effortless for all involved parties.

If there was any doubt that artificial intelligence is the future of technology, look no further than Google. The company announced the new AI research push on Thursday in a blog post. Opening as part of Google's existing Google Research center in Europe, the Machine Learning Research Group will focus on, naturally, Machine Learning, in which computers use vast amounts of data to teach themselves and build rules about the data; Natural Language Processing for speech-systems and conversational queries; and Machine Perception, which is used to understand the contents of images, sounds, music and video. This announcement comes four years after the company began aggressively pursuing machine learning technologies, three months after Google's AI beat one of the world's best Go players and just weeks after Google codified its approach to AI during its annual Google I/O developers conference. During I/O, Google unveiled Google Assistant, a voice-based digital assistant designed the take on Microsoft's Cortana, Apple's Siri and Amazon's Alexa.

Google announced today that it is expanding its largest non-U.S. The new Machine Learning Research Group will be based in Zurich, Switzerland, which is already Google's largest research center outside the U.S. The company did not say specifically how many positions will be added. But in a blog post, Google executives said machine learning has become critical to the company's development efforts across a wide range of services. "Google's ongoing research in Machine Intelligence is what powers many of the products being used by hundreds of millions of people a day -- from Translate to Photo Search to SmartReply for Inbox," wrote Emmanuel Mogenet, head of Google Research in Europe. Indeed, the Zurich research center has already had a sizable impact on Google.

FAIRFAX, VA--(Marketwired - June 15, 2016) - Invincea, the leader in advanced endpoint threat protection, announced today that it is the first machine learning based endpoint security company to join the Anti-Malware Testing Standards Organization (AMTSO). Participation in AMTSO furthers Invincea's mission of addressing the global need for improvement in third party testing based on scientific objectivity, quality, and relevance of anti-malware testing methodologies. Hundreds of millions of new pieces of malware are created a year, wreaking havoc on enterprises across industries against the backdrop of obsolete anti-malware approaches. To combat the scourge of malware that evades traditional anti-malware systems, the next-gen endpoint security market has exploded with new companies bringing products to market with fantastic claims. To date, these companies have not been held accountable to their marketing claims by independent scientifically valid testing on the merits of their product technology and approaches.

ConnectX-5 introduces smart offloading engines that enable the highest application performance while maximizing data center return on investment. Furthermore, ConnectX-5 is the first PCI Express 3.0 and 4.0 compatible adapter, enabling greater flexibility and future-proofing for the data center. With the exponential growth of data and the increase in businesses that takes advantage of real-time data processing for high performance computing (HPC), data analytics, machine learning, national security and'Internet of Things' applications, the market needs not only the fastest interconnect available, but also interconnect intelligence that can perform data algorithms as the data moves throughout the data center. The new intelligent ConnectX-5 100G adapter enables the most advanced real-time in-network computing engines to unleash business opportunities and new technological developments. "The new ConnectX-5 100G adapter further enables high performance, data analytics, deep learning, storage, Web 2.0 and more applications to perform data-related algorithms on the network to achieve the highest system performance and utilization," said Gilad Shainer, vice president, marketing at Mellanox Technologies.

Apple announced today that it will be opening up Siri to third-party developers through an API, giving outside apps the ability to activate from Siri's voice commands, and potentially endowing Siri with a wide range of new skills and datasets. The move follows similar announcements by Amazon, Google, Facebook, and Microsoft, all of which are betting that voice commands and chatbots will be one of the next big computing paradigms. When Steve Jobs introduced Siri to the world five years ago, it felt like a revelatory advancement. Sure, there had been digital assistants before, but not one you speak to naturally or carry around in your pocket. In the time since, however, this kind of conversational AI proliferated out to lots of devices, with big offerings from most of Apple's major competitors.