SYS-CON Events announced today that SD Times BZ Media has been named "Media Sponsor" of SYS-CON's 20th International Cloud Expo, which will take place on June 6-8, 2017, at the Javits Center in New York City, NY. BZ Media LLC is a high-tech media company that produces technical conferences and expositions, and publishes a magazine, newsletters and websites in the software development, SharePoint, mobile development and commercial UAV markets. All major researchers estimate there will be tens of billions devices - computers, smartphones, tablets, and sensors - connected to the Internet by 2020. This number will continue to grow at a rapid pace for the next several decades. With major technology companies and startups seriously embracing Cloud strategies, now is the perfect time to attend @CloudExpo @ThingsExpo, June 6-8, 2017, at the Javits Center in New York City, NY and October 31 - November 2, 2017, Santa Clara Convention Center, CA.

Cyber threats are an ever-present danger to global economies and are projected to surpass the trillion dollar mark in damages within the next year. As a result, the cybersecurity industry is investing heavily in machine learning in hopes of providing a more dynamic deterrent. ABI Research forecasts machine learning in cybersecurity will boost big data, intelligence, and analytics spending to $96 billion by 2021. "We are in the midst of an artificial intelligence security revolution," says Dimitrios Pavlakis, Industry Analyst at ABI Research. "This will drive machine learning solutions to soon emerge as the new norm beyond Security Information and Event Management, or SIEM, and ultimately displace a large portion of traditional AV, heuristics, and signature-based systems within the next five years."

Melville, NY (PRWEB) January 17, 2017 – Nastel Technologies, a global provider of enterprise-grade operations analytics and application performance monitoring (APM) solutions, announced the next-generation version of its flagship software platform, AutoPilot Insight 2.0. According to Charley Rich, VP Product Management "The new release fuses predictive anomaly and machine learning capabilities, business transaction tracking that spans corporate firewalls, raw information handling and analytics speed, and the flexibility to operate across dynamic IT environments--from mobile to mainframe. It provides the broad array of capabilities needed by developers, IT admins, and business analysts for enterprise-grade operations intelligence and APM." Rich said building a solution that fully addresses today's client requirements demanded two years of ground-up product re-engineering. "Customers universally remarked that they needed to find data outliers faster and sense problem conditions before they actually affect users. They also wanted more powerful end-to-end transaction tracking capabilities, with the ability to tie transaction performance to business outcomes."

PHOENIX--(BUSINESS WIRE)--Aspect Software, a global provider of fully-integrated consumer engagement, workforce optimization and self-service solutions, announced today that it is making its Aspect Mila personal assistant chatbot available on leading workforce collaboration and messaging platforms such as Slack, Microsoft Teams and Facebook Workplace. Announced last year, Mila provides contact center and enterprise employees with automated self-service functionality to view schedules, request time off or trade shifts with other employees. Mila simplifies day-to-day administrative challenges faced by thousands of employees in call centers and other large labor force employers while also reducing the oftentimes labor-intensive workload of schedule management. With plain, conversational language, Mila allows employees to easily ask for a day off or pick up a shift right from within Slack. Supervisors and managers no longer have to field the administrative requests from employees, leaving that instead to Aspect Mila and Aspect's Workforce Management solution.

When you finally get your chance to ride in an autonomous Uber, you may find yourself clambering into a Mercedes-Benz. That's because Daimler, which owns Mercedes, announced today that it will use Uber's immense network to deploy its own robocars. Last year, it struck up with Volvo, which built Uber's autonomous tech into a fleet of XC90 SUVs for testing in Pittsburgh and San Francisco (until the California DMV kicked it out). But the Daimler deal marks a new approach for Uber. Until now, its public plan called for stuffing its homegrown tech into vehicles built by an established manufacturer like Volvo, then deploying it.

The Rivers Casino in Pittsburgh may not seem a likely setting for a major scientific breakthrough. But on Tuesday, it was: Libratus, an AI system developed by Carnegie Mellon University, beat the world's top four human players in a 20-day tournament of Head's-Up No-Limit Texas Hold'em poker. Libratus, developed by Carnegie Mellon's Tuomas Sandholm, a professor of computer science, and Noam Brown, a Ph.D. student in computer science, competed against Dong Kim, Jimmy Chou, Daniel McAulay, and Jason Les in a competition called "Brains Vs. Artificial Intelligence: Upping the Ante"--during which 120,000 hands were played. "This is the last frontier," said Sandholm during a press conference on Tuesday.

SYS-CON Events announced today that Conference Guru has been named "Media Sponsor" of SYS-CON's 20th International Cloud Expo, which will take place on June 6-8, 2017, at the Javits Center in New York City, NY. A valuable conference experience generates new contacts, sales leads, potential strategic partners and potential investors; helps gather competitive intelligence and even provides inspiration for new products and services. Conference Guru works with conference organizers to pass great deals to great conferences, helping you discover new conferences and increase your return on investment. All major researchers estimate there will be tens of billions devices - computers, smartphones, tablets, and sensors - connected to the Internet by 2020. This number will continue to grow at a rapid pace for the next several decades.

Uber has made a major step towards making its self driving cars commonplace with a new deal with Germany's Daimler AG, maker of the luxury Mercedes-Benz cars and trucks. In the coming years, Daimler plans to incorporate its own self-driving Mercedes-Benz into Uber's growing fleet of self-driving cars. Daimler is the first auto company to join Uber as it opens up its platform for manufacturers to introduce their own self-driving cars - and Uber will not own or manage the Daimler cars, and won't help with R&D, simply letting the cars become part of its fleet. Daimler is the first auto company to join Uber as it opens up its platform for manufacturers to introduce their own self-driving cars. 'Under the terms of the cooperation, Daimler plans to introduce self-driving vehicles... on Uber's global ridesharing network in the coming years,' the companies said in a joint statement.

Persistence Market Research delivers pertinent insights on the growth of the Cognitive Computing Market and identifies key market dynamics impacting this growth. New York City, NY -- (SBWIRE) -- 01/27/2017 -- In the ever changing world of information technology, business organizations are left with humongous amount of data with them. This data includes very critical information for business use, but business organizations are only able to utilize 20% of whole data available with them with the use of traditional data analytics technology. To process and interpret the reaming 80% of the data that is in the form of videos, images, and human voice (also called as dark data), there is a need of cognitive computing systems. Cognitive computing systems are typical combination of hardware and software that constitute natural language processing (NLP) and machine language, and have capability to collect, process, and interpret the dark data available with business organizations.

Health Catalyst has used healthcare.ai to build predictive models that drive its clients' outcomes improvement efforts and span across the company's product lines. Models include but are not limited to a predictive model for central line associated blood stream infection (CLABSI), readmission models for COPD and other chronic conditions, schedule optimization, and financial predictions such as patient propensity to pay. "Machine learning and artificial intelligence are going to transform healthcare. We are seeing amazing results and yet we are barely getting started. We are applying it to the reduction of patient harm events, care management, hospital acquired infections, revenue cycle management, patient risk stratification, and more," said Dale Sanders, Executive Vice President of Health Catalyst.