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. Join Cloud Expo / @ThingsExpo conference chair Roger Strukhoff (@IoT2040), June 6-8, 2017, at the Javits Center in New York City, NY and October 31 - November 2, 2017, Santa Clara Convention Center, CA for three days of intense Enterprise Cloud and'Digital Transformation' discussion and focus, including Big Data's indispensable role in IoT, Smart Grids and (IIoT) Industrial Internet of Things, Wearables and Consumer IoT, as well as (new) Digital Transformation in Vertical Markets. Accordingly, attendees at the upcoming 20th Cloud Expo / @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 will find fresh new content in a new track called FinTech, which will incorporate machine learning, artificial intelligence, deep learning, and blockchain into one track. The upcoming 20th International @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 announces that its Call For Papers for speaking opportunities is open.
"Innovation in Adobe Sensei, our AI, machine learning and deep learning framework, dramatically accelerates and improves the design and delivery of experiences across any customer touch point." The intelligence layer in the Adobe Cloud Platform, Adobe Sensei provides customers with a unified AI and machine learning framework as well as intelligent services to help them work smarter and faster. In Adobe Experience Cloud, Adobe Sensei already powers over 100 intelligent capabilities including Intelligent Alerts, Automated Advertising Insights, Anomaly Detection and Lookalike Modeling, to help brands better understand and meet their customers' needs. Today, Adobe released several new Sensei capabilities for the enterprise including Fluid Experiences to enable brands to deliver the experience consumers expect across any connected screen, including social, VR, IoT devices and physical screens.
Notably, the majority of deals have focused on acquiring talent, technology, and intellectual property - not on existing revenues and profits - to support and build on existing businesses, and to expand into related fields. And so, apparently as intended all along, Alphabet effectively acquired Motorola's entire patent portfolio for sub-$3.5 billion, to'defend the entire Android ecosystem'. And second, the gross consideration for Motorola is actually less than 50% of the annual $26 billion free cash flow Alphabet now generates! A step-change in strategy is required - that is, listed and much larger target companies, with revenues, profits, and users being the primary driver.
Providing hyperscale data centers with a fast, flexible path for AI, the new HGX-1 hyperscale GPU accelerator is an open-source design released in conjunction with Microsoft's Project Olympus. It will enable cloud-service providers to easily adopt NVIDIA GPUs to meet surging demand for AI computing." NVIDIA Joins Open Compute Project NVIDIA is joining the Open Compute Project to help drive AI and innovation in the data center. Certain statements in this press release including, but not limited to, statements as to: the performance, impact and benefits of the HGX-1 hyperscale GPU accelerator; and NVIDIA joining the Open Compute Project are forward-looking statements that are subject to risks and uncertainties that could cause results to be materially different than expectations.
NVIDIA, Microsoft, and Ingrasys, a subsidiary of Foxconn) announced today their plans for HGX-1, a hyperscale GPU accelerator for AI and cloud computing. This open-source design is being released in conjunction with Microsoft's Project Olympus initiative at the OCP (Open Compute Project) conference and is designed to give hyperscale datacenters a high performance and flexible path for the machine learning industry. The compute model is changing, and machine learning training currently favors GPU computing--NVIDIA's bread and butter. NVIDIA is drawing comparisons between the HGX-1 (and what it hopes to do for cloud-based AI workloads), with what ATX (Advanced Technology eXtended) accomplished for PC motherboards back in 1995.
"We started Quantiphi over three years ago with the belief that artificial intelligence and machine learning will be essential building blocks of digital transformation, and a new breed of expertise will be necessary to help businesses harness the full potential of these technologies," said Asif Hasan, Co-founder, Quantiphi, Inc. "We are committed to bringing the power of Google Cloud Platform's machine learning technologies together with Quantiphi's experience and proven use cases in applied machine learning to customers of any size who want to achieve transformational analytics." Quantiphi has put together a wide array of machine learning models that help businesses build AI products, find and retain high value customers, improve operating efficiencies and reduce risk across several industries including Healthcare, Insurance, Media, Retail, Manufacturing and Consumer Products. About Quantiphi Inc Quantiphi is a category defining Data Science and Machine Learning software and services company focused on helping organizations translate the big promise of big data and machine learning technologies into quantifiable business impact. It is founded on the belief that machine learning and artificial intelligence are transformative technologies that will create the next quantum gain in customer experience and unit economics of businesses.
The AI technology performs real-time recognition of workers' activities by integrating technology in eye-tracking glasses*1to recognize gazed objects with technology in armband devices to recognize action. Researchers from the DFKI research department, Smart Data & Knowledge Services and Hitachi developed AI for human activity recognition to recognize the activity of workers using various data collected through the wearable devices, not image data from cameras. DFKI and Hitachi will advance the technological development for assisting operations and preventing human error on the front line of manufacturing, where operation guidance and inadequate action detection are required, by utilizing this newly developed AI. Currently more than 478 employees from 60 countries are conducting research focusing on Smart Data & Knowledge Services, Cyber-Physical Systems, Multilingual Technologies, Plan-Based Robot Control, Educational Technology Lab, Interactive Textiles, Robotics Innovation Center, Innovative Retail Laboratory, Institute for Information Systems, Embedded Intelligence, Smart Service Engineering, Intelligent Analytics for Massive Data, Intelligent Networks, Agents and Simulated Reality, Augmented Vision, Language Technology, Intelligent User interfaces, Innovative Factory Systems.
According to Tech Republic, IBM plans to bring soon some of the core machine learning technology from IBM Watson to the private cloud and mainframes, as the company announced on Wednesday, Feb. 15. IBM described IBM Machine Learning in a press release as a platform that will facilitate creating, training and deploying high volume of analytic models in the private cloud. IBM Machine Learning is leveraging core Watson technologies in order to accelerate the adoption of machine learning, according to the statement of Rob Thomas, general manager for IBM Analytics, published in the press release. According to the release, IBM Machine Learning can help create and train operational analytic models by using any popular machine learning framework, any language and any transactional data type.
Organizations have a brief window to experiment and become familiar with the strategies and technologies needed to get ready for an AI-first world, according to a new report from Avanade, the leading digital and cloud services provider. It states that the emerging AI-first era will bring powerful opportunities and capabilities to organizations – similar to the PC revolution of the 1990s – but they must begin transforming now. For example, by augmenting employees' capabilities using AI – including intelligent automation, Robotic Process Automation (RPA) and physical automation – organizations will enable workers to achieve far more, faster, with more intelligence-driven actions that deliver better results. For more information on the Avanade Technology Vision 2017, please visit: www.avanade.com/techvision About Avanade Avanade is the leading provider of innovative digital and cloud services, business solutions and design-led experiences delivered through the power of people and the Microsoft ecosystem.
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 is now available on Slack, with integrations to Microsoft Teams and Facebook Workplace platforms to follow in Q2. The enterprise app integration of Mila follows what Gartner calls Mesh App and Service Architecture (MASA) which is a linking of mobile, apps, and desktop apps to a broad mesh of back-end services to create an "application."