AI

BlueData Introduces New Innovations for AI and Machine Learning in Hybrid or Multi-Cloud Deployments

Grazed from BlueData

BlueData, provider of the leading Big-Data-as-a-Service (BDaaS) software platform, today announced the new summer release for BlueData EPIC. This release builds upon BlueData's innovations in running large-scale distributed analytics and machine learning (ML) workloads on Docker containers, with new functionality to deliver even greater agility and cost savings for enterprise Big Data and AI initiatives. 

Last spring, BlueData introduced support for hybrid cloud environments - leveraging the inherent infrastructure portability and flexibility of Docker containers. This past fall, BlueData delivered a major new release that added deep learning (DL), GPU acceleration, and multi-cloud support to the container-based BlueData EPIC platform. And last month, BlueData announced a new turnkey solution to accelerate AI and ML / DL deployments in the enterprise.

 

Five9 Spring Release 2018: Practical AI for the Contact Center and Portfolio Wide Enhancements

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"Good morning, Sophia! I see you are contacting us about an overcharge. Given you are a valued customer, I will credit the charge for this month's bill. Is there anything else I can help you with?" Have you ever had this experience calling a company where they already know you, know exactly why you are calling, and resolves your issue in a minute? If you are like most, this experience is rare. Personalized customer service matters and artificial intelligence (AI) can be the game changing technology. It takes the burden off the customer and enables an amazing experience.

To connect the dots for the agent and customer, today we announce Five9 Spring Release 2018. This release includes major enhancements across the portfolio, including Five9 Genius and Engagement Workflow.

Turbonomic Releases Major Update to AI-Powered Workload Automation for Hybrid Cloud

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Turbonomic today announced a major update to its workload automation software, delivering on the promise of application-aware infrastructure and making any type of workload - virtual, cloud and container - SMART (self-managing, anywhere, in real-time). Innovations in Turbonomic v6.1 include continuous usage automation of AWS Reserved Instances; a new integration with Cisco AppDynamics; new continuous optimization of container platforms; and a next-generation, AI-powered Decision Engine. Collectively, today's news extends Turbonomic's industry-leading workload automation, enabling customers to continuously automate trustworthy decisions for any type of workload anywhere (on-premises, in the cloud, and in containers) and at any time.

As organizations continue to accelerate digital transformation and IT modernization initiatives, the resulting high volume of dynamic workloads distributed across a decentralized hybrid cloud infrastructure leads to management complexity that is beyond the scale of manual control or monitoring tools. Only software automation, powered by AI, can ensure that applications continuously get the resources needed to perform at the lowest possible cost, while maintaining compliance with business policies.

YI Technology Announces Microsoft Azure Integration Plans

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YI Technology (YI), a leading provider of advanced, intelligent imaging technologies, today announced its plans to integrate with Microsoft Azure to provide millions of YI customers with secure cloud storage, next generation AI and computer vision features. The integration with Azure underscores YI's commitment to protecting customer data and delivering innovative cloud services for consumers and enterprises.

YI Technology believes that the very best imaging and sensing technology should be easy and accessible to everyone. From world-class innovation to numerous best-selling products, YI knows that great hardware is only possible when paired with great software and infrastructure. Integration with Azure provides data residency within our customers' geographical-regions and enterprise-grade cloud service for YI's rich product portfolio, including Kami, YI's upcoming initiative for the smart home.

Gradient Launches To Fuel Next Generation Of Cloud AI

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Paperspace, a leading provider of AI cloud computing, today announced the launch of Gradient to put the power of artificial intelligence into the hands of every developer. With Gradient, AI and machine learning developers of all levels can tap into a dedicated cloud of AI solutions for building, training and deploying machine learning applications.

"There's no denying that AI is the future of every industry, but today's complex cloud ecosystem coupled with a massive skills gap are threatening innovation," said Daniel Kobran, co-founder of Paperspace. "You shouldn't need decades of experience to build intelligent applications. We designed Gradient to remove infrastructure bottlenecks so that any developer can build a production-ready cloud AI pipeline."

Gradient is a suite of enterprise-ready tools that makes developing cloud AI as simple as building a modern web service. Featuring one-click Jupyter notebooks, a powerful GPU job runner and a new integration that lets you add 1-line of code to run any code on a full GPU cloud, Gradient works to turn raw infrastructure into the building blocks for intelligent applications. The mission behind Gradient is to accelerate the development of new machine learning products and services across a host of industry verticals.

Databricks Delivers Microsoft Azure Databricks Addressing Customer Demand

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Databricks, provider of the leading Unified Analytics Platform powered by Apache Spark, today announced general availability of Microsoft Azure Databricks. Azure Databricks is Databricks' Unified Analytics Platform offered as an integrated service within the Azure cloud platform. Organizations from around the globe using Azure Databricks are now deriving value from their Big Data and realizing the promise of Artificial Intelligence (AI). 

Designed by Databricks in collaboration with Microsoft, Azure Databricks combines the best of Databricks' Spark-based cloud service and Azure to help customers accelerate innovation with one-click set up, streamlined workflows and an interactive workspace that enables collaboration between data scientists, data engineers, and business analysts. The integrated service provides Databricks' Unified Analytics Platform integrated with the Azure cloud platform, encompassing the Azure Portal; Azure Active Directory; and other data services on Azure, including Azure SQL Data Warehouse, Azure Cosmos DB, Azure Data Lake Store; and Microsoft Power BI.

AccelStor All-Flash Solutions Unlock Data Possibilities for AI and Cloud

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AccelStor, an innovative all-flash array (AFA) provider for the big data era, is excited to announce its participation in the upcoming Cloud Expo Europe, taking place from March 21 to 22 at Booth C1850 in the ExCel London exhibition centre. Besides presenting latest all-flash storage solutions breaking through performance and availability barriers for artificial intelligence (AI), virtualization and private cloud, AccelStor will present a live demonstration of its new generation NeoSapphire high availability models, one of the highlights not to be missed this year.

AccelStor NeoSapphire all-flash arrays are highly integrated with virtualization and private cloud platforms, supporting VMware vSphere and OpenStack Cinder. NeoSapphire's "high availability" series features symmetric active-active, clustered shared-nothing architecture (SNA), providing full redundancy and 99.9999% reliability, enabling enterprises to achieve non-disruptive operations effortlessly. In addition, the patented FlexiRemap software technology accelerates data processing and unleashes the true performance of big data workloads with outstanding performance, over 1 million IOPS for 4KB random access.

Alibaba Cloud Launches Cloud and AI Solutions in Europe to Meet Changing Needs in Digital Transformation

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Alibaba Cloud, the cloud computing arm of Alibaba Group, today launched eight products ranging from big data and artificial intelligence (AI) to infrastructure, security and private cloud solutions at the Mobile World Congress that is taking place in Barcelona Spain. The array of products will meet the surging demand for powerful and reliable cloud computing services as well as advanced AI solutions among European enterprises to support them to capture opportunities in this digital transformation era. Bringing together these products with the expertise and real experience available from Alibaba Cloud, customers can put in place cutting edge solutions particularly in areas such as online and offline retail integration, smart manufacturing and smart city development.

The new products being launched for European enterprises fall into a number of inter-related categories. In relation to data technology and AI, Alibaba Cloud is launching three key products - Image Search solutions, which allow users to search for information online and offline using images; Intelligent Services Robot, a chatbot for business; and Dataphin, an intelligent data engine developed to cope with the cross-industry big data development, management and application needs.

Infrastructure and security will continue to be crucial as the foundation and fundamental consideration for enterprises undertaking cloud migration. In view of this, Alibaba Cloud will launch ECS Baremetal Instance, a new high performance computing solution of ECS that combines the strengths of virtualized systems and bare metal servers. When connected as a supercomputer, ECS Baremetal Instances becomes a Super Computing Cluster that will reduce network latency to the level of micro-seconds while offering elasticity and supercomputing capabilities.

How Cloud Technology Tackles Online Shopping Fraud

Article Written by Sally Perkins

Online transactions are increasingly being targeted by fraudsters, with a February 2017 report showing online card fraud rising 40% since 2015. Amongst many of the technologies seeking to combat this, is cloud security innovations. With the versatility and ever-evolving nature of the cloud, a few great ways to combat online fraud have been thrown out. 

What form does this technology take? Big technology players have long sought to make their cloud tech creditor compatible to allow for the widest range of transactions, but that's the baseline. 

AI Enabled Cloud Storage 

In basic terms, the cloud is simply the functions of a computer spread out into the ether of the internet. On its own, it doesn't entail great security detail. Companies the world over have innovated to meet this demand, and it has had an impact on their consumers. One of the latest iterations of this technology is the integration of AI into cloud services, which is protecting the data of customers - so they don't have to. With many consumers enjoying relaxed lending regulations and looking to obtain a credit card, data is being uploaded onto the cloud in large amounts. Amazon, for example, employ AI to intuitively search and protect customer data against online fraudsters within their cloud services. 

National Football League Selects AWS as Official Cloud and Machine Learning Provider for Next Gen Stats

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Today, Amazon Web Services, Inc. (AWS), announced that the National Football League (NFL) has selected AWS's machine learning and data analytics services to boost the accuracy, speed, and insights provided by its Next Gen Stats platform, the NFL's player-tracking system. In choosing AWS to power Next Gen Stats, the NFL aims to develop new ways of visualizing the action on the field, uncovering deeper insights into the action on the field, and expanding the fan experience by offering a broader range of advanced statistics. In addition, AWS will become an Official Technology Provider of the NFL.

Through the use of radio-frequency identification (RFID) tags in player equipment and the football, Next Gen Stats captures a variety of real-time location, speed, and acceleration data. The data is analyzed on AWS and used to contextualize movement on the field for fans to see on NFL Media properties, game broadcasts, third-party digital platforms, and in-venue displays. The data is also leveraged by NFL clubs post game as part of their football operations on a weekly basis. The system creates a variety of unique player and team stats for every game such as a receiver's ability to get open and an offensive line's ability to protect the quarterback. By leveraging AWS's broad range of cloud-based machine learning capabilities, the NFL is looking to take its game-day stats to the next level so that fans and NFL Clubs can benefit from deeper insights.