At Google Cloud, our mission is to accelerate manufacturers' digital transformation by bridging data silos, and turning every engineer into a data scientist with easy-to-use AI technologies and an industry data platform. Manufacturers across all domains, from discrete manufacturing to energy and supply chain, are adopting Google's products and purpose-built industry solutions because of their ease-of-use and scalability, using analytics and machine learning to remotely monitor and optimize operations and make better-informed business decisions. Our customers and partners have made great progress on their data transformation journey and on May 5th they will share their perspective and insights at the Manufacturer Spotlight. Join us to hear leading manufacturers and technology partners discuss how they transformed operations and empowered their teams to solve productivity challenges and build competitive and sustainable businesses with Google Cloud. You will hear from thought leaders how a data platform, data analytics and AI models can create a solid foundation for scaling smart factory initiatives and enable unique optimization models.

The American Bureau of Shipping recently collaborated with Google Cloud and software engineers SoftServe to use artificial intelligence (AI) models to detect levels of corrosion and marine coatings breakdowns on brown- and bluewater vessels. The pilot project is aimed at developing image recognition software tools that can examine early signs of degradation in hull structures, to avoid unsafe working conditions, unscheduled maintenance and resulting operational downtime. The effort demonstrated how AI can support early detection of structural anomalies that are usually found through traditional, visual inspections. The project was focused on corrosion and coatings failures, but ABS engineers believe the new tools could also be used to detect stress fractures and larger hull deformations. These AI techniques -- in tandem with advanced data algorithms -- could be used to analyze images over time to understand the trends in corrosion and asset fatigue that would support a transition to more efficient class and maintenance regimes for everything from workboats to offshore structures.

Machine learning technology is poised to move from niche data analytics applications to mainstream enterprise big data campaigns over the next two years, a recent vendor survey suggests. SoftServe, a software and application development specialist based in Austin, Texas, reports that 62 percent of the medium and large organizations it polled in April said they expect to roll out machine learning tools for business analytics by 2018. That majority said real-time data analysis was the most promising big data opportunity. The survey authors argue that artificial intelligence-based technologies like machine learning are moving beyond the "hype cycle" as enterprise look to automate analytics capabilities ranging from business intelligence to security. The goal is to demonstrate that that cyber defenses can be automated as more infrastructure is networked via an Internet of Things.)

Machine learning is set to go mainstream in the next two years, according to a new survey by software and application development vendor SoftServe Inc. The new report, based on an April poll of 300 U.S. and U.K.-based medium and large enterprises, shows that 62 percent of firms expect to roll out machine learning-based tolls for business analytics within the next two years. The majority of those companies said the most promising opportunity for machine learning lays in real-time data analysis. According to SoftServe, the survey is evidence that machine learning is moving past the "hype cycle", with enterprises looking to automate analytics processes in areas like business intelligence and cyber security. In the latter area, further evidence of machine learning's progress comes from the Defense Advanced Research Projects Agency (DARPA), which is sponsoring an "all-machine" hackathon at the DEF CON hacking conference in Las Vegas next month.

WHAT: SoftServe's "Will Artificial Intelligence Change Healthcare?" on-demand webinar will deep dive into the most talked about topic in Healthcare – Artificial Intelligence. WHO: During the webinar SoftServe's Eugene Borukhovich, Senior Vice President and Healthcare Global Vertical Practice Leader, will provide insights on how AI can add value in Healthcare by: WHERE: Register to access a recording of the "Will Artificial Intelligence Change Healthcare?" webinar. Eugene Borukhovich is an international expert on healthcare information technology innovation. He is also a member of HIMSS EU Industry Advisory Committee, convened in September 2014 to discuss and collaborate on key Healthcare IT topics. Eugene is a frequent speaker at various healthcare conferences and events, including HealthXL, mHealth Summit, Health 2.0, Week of Health and INNovation, etc. Eugene's articles and blogs have been published in numerous healthcare resources including SoftServe United, HealthWorksCollective, Medical Design Technology, intrepidNOW, and many more.