This story was delivered to BI Intelligence Apps and Platforms Briefing subscribers. To learn more and subscribe, please click here. Microsoft and Alphabet's Q3 2017 earnings calls highlighted that artificial intelligence (AI) and the cloud are not only major catalysts of growth for the tech giants, but also centerpieces of their long-term strategies. While Alphabet's overall revenue grew 24% year-over-year (YoY) to reach $27.8 billion in the quarter, the company's "Other Revenues" segment -- which lumps together everything from its Pixel smartphone and hardware products to its cloud computing and storage offerings -- generated $3.4 billion, a 12% share of total revenue. And Microsoft reported revenue of $24.5 billion, up 12% YoY, with 28% coming from its Intelligent Cloud segment.

This story was delivered to BI Intelligence Apps and Platforms Briefing subscribers. To learn more and subscribe, please click here. Microsoft and Alphabet's Q3 2017 earnings calls highlighted that artificial intelligence (AI) and the cloud are not only major catalysts of growth for the tech giants, but also centerpieces of their long-term strategies. While Alphabet's overall revenue grew 24% year-over-year (YoY) to reach $27.8 billion in the quarter, the company's "Other Revenues" segment -- which lumps together everything from its Pixel smartphone and hardware products to its cloud computing and storage offerings -- generated $3.4 billion, a 12% share of total revenue. And Microsoft reported revenue of $24.5 billion, up 12% YoY, with 28% coming from its Intelligent Cloud segment.

Firebase's development platform will receive a series of updates focused on tightening the integration of Firebase services and incorporating more machine learning technology into the toolkit, the Google-owned company announced today at the Firebase Dev Summit in Amsterdam. Firebase is a mobile platform for developing high-quality applications. The first notable update is the integration of Crashlytics by Fabric, which Google acquired in January. Crashlytics enables uses to track, prioritize, and fix stability issues within applications in real time. The integration will be rolled out over the next couple of weeks.

Earlier this year, Forbes included Expert System in the list of companies forging the next generation of Artificial Intelligence systems. "The impact of AI in the near future will be even more decisive," said Stefano Spaggiari, CEO, Expert System. "Artificial Intelligence allows companies to overcome the purely'numerical' management of data by adding the ability to understand and manage information in a way that captures the maximum business value." Keynote speaker Boris Evelson, VP and Principal Analyst, Forrester Research, noted that one of the most important macro-applications of Artificial Intelligence in the business world is for understanding and making use of the incredible volumes of information that companies already collect. In fact, the current rate of growth in the adoption of AI technologies is comparable to a'tsunami'.

Vienna, Austria -- (SBWIRE) -- 10/30/2017 -- IFDAQ has gained acceptance into NVIDIA's Inception program, a nurture program for exceptional startups revolutionizing industries with advances in AI and data sciences. The Inception program offers customized resources that range from hardware grants to collaboration with NVIDIA's Deep Learning Institute to raising visibility for the unique value and innovations IFDAQ can bring to market using NVIDIA's deep learning platform. There lation ship also includes access to NVIDIA's latest GPU accelerators as well as a global AI and deep learning ecosystem with a massive network of deep learning experts and opinion leaders. "We are honored to be part of NVIDIA's AI-start up family that is fostered with a number of benefits, including early access to state-of-the-art technology,"commented Daryl de Jori, Head of New Technologies and founding member of IFDAQ. "Asan AI-driven technology that generates billions of data sets daily through a series of high-dimensional algorithms, the IFDAQ could also benefit by building smarter calculation processes to shorten computing times. The collaboration with NVIDIA also boosts our ability to maximize our efficiency and data-driven processes in a manner that was previously thought impossible."

"We're excited to partner with MapR to bring our enterprise data science platform to their customers," said William Merchan, Chief Strategy Officer, DataScience.com. "By integrating the MapR Persistent Application Container Client, data science jobs are deployed directly on the MapR cluster for fast data access and better resource utilization. This is a huge differentiator for us compared with other data science workbenches on the market. Partnering with the leaders in the enterprise data platform space greatly enhances the ability of our customers to scale their analyses and deploy models to mission-critical production applications." Data scientists can now collaborate to build and deploy models via a full-featured platform from DataScience.com and MapR that provides convenient access to a wide range of data science tools and notebooks integrated directly with MapR.

Keep up with the latest news from Wisconsin's innovation community with these recent headlines: The four-year college's goal in constructing the 64,000-square-foot research center is to position MSOE "at the forefront in artificial intelligence, deep learning, cybersecurity, robotics, computing, and other next-generation technologies," according to a press release. The facility will have classrooms, laboratories, an auditorium, and space for businesses that partner with MSOE, the school said. MSOE plans to break ground on the new center by mid-2018. Phoenix sells neutron generators and other machines to organizations in industries ranging from healthcare to defense to renewable energy. The company plans to use some of the proceeds from the funding round to construct a new headquarters that can house all of its workers and equipment.

Consumer enthusiasm for both emerging technology and resilient mature categories is exceeding expectations – driving the U.S. consumer technology industry to an estimated 3.2 percent revenue growth in 2017, earning $321 billion in retail revenues ($251 billion wholesale), according to new research from the Consumer Technology Association (CTA). The latest edition of CTA's semi-annual industry report, U.S. Consumer Technology Sales and Forecasts, also projects drones, OLED TV and virtual reality (VR) technology will each cross the $1 billion revenue milestone for the first time this year. "Driven by consumer demand for the products we already know and love, as well as new, innovative technologies, revenue growth in the consumer technology industry is exceeding expectations," said Gary Shapiro, president and CEO, CTA. "Not only are breakthrough technologies changing our lives for the better – such as drones delivering medical supplies to remote areas or the use of VR in patient care – tech is also a key driver of the U.S. economy, outpacing GDP growth, and reinforcing America's role as a global leader in innovation." CTA's semi-annual report serves as a benchmark for the consumer technology industry, charting the size and growth of underlying product categories.

The first instances to include NVIDIA Tesla V100 GPUs, P3 instances are the most powerful GPU instances available in the cloud. P3 instances allow customers to build and deploy advanced applications with up to 14 times better performance than previous-generation Amazon EC2 GPU compute instances, and reduce training of machine learning applications from days to hours. With up to eight NVIDIA Tesla V100 GPUs, P3 instances provide up to one petaflop of mixed-precision, 125 teraflops of single-precision, and 62 teraflops of double-precision floating point performance, as well as a 300 GB/s second-generation NVIDIA NVLink interconnect that enables high-speed, low-latency GPU-to-GPU communication. P3 instances also feature up to 64 vCPUs based on custom Intel Xeon E5 (Broadwell) processors, 488 GB of DRAM, and 25 Gbps of dedicated aggregate network bandwidth using the Elastic Network Adapter (ENA). "When we launched our P2 instances last year, we couldn't believe how quickly people adopted them," said Matt Garman, Vice President of Amazon EC2.

Part of a growing trend, MobileIron announced today that it is adding machine learning-based threat-detection software to its enterprise mobility management (EMM) client, which it said will help address an increase in mobile attacks. The Mountain View, Calif.-based company said it has partnered with Zimperium, a maker of machine learning-based behavioral analysis and threat detection software that monitors mobile devices for nefarious activity and apps. MobileIron said it will integrate Zimperium's z9 Engine software with its security and compliance client. The software will reside on users' iOS or Android smartphones or tablets, and it will also become a part of IT administrators' EMM control consoles. That upgrade to MobileIron's EMM client will "automate the process of detecting and responding to mobile threats," MobileIron stated.