AI

C3 and Amazon Web Services Expand Collaboration to Drive Enterprise Artificial Intelligence Adoption

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C3 and Amazon Web Services (AWS) announced an expanded collaboration focused on accelerating customers' time to value with complex and strategic artificial intelligence (AI) applications across the enterprise.

Fueled by the successful adoption of the C3 Platform on AWS at more than 30 commercial and public sector organizations, C3 and AWS are increasing their investment in existing customer deployments, joint sales and go-to-market initiatives, a global event series, continuous technology integrations, and training on the joint solution for more than 5,000 sales and delivery professionals.

"Two years ago we embarked on an ambitious digital transformation effort to establish Engie as a leading force in the global energy transition. C3 and AWS provide a proven platform that helped us rapidly address our most strategic AI, big data, and IoT business initiatives, and we are very pleased with our results thus far," said Yves Le Gélard, Group CIO and Chief Digital Officer, Engie.

RiskSense Cloud Service Protects Against Cyber Threats and Vulnerabilities Ahead of Midterm Elections

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RiskSense, Inc., pioneering risk-based vulnerability prioritization and management, today announced its AI-Assisted Pen Testing Service called Attack Surface Validation for Election Systems which provides complete visibility and prioritization of security vulnerabilities that enables any district to remediate problems before the midterms. Immediate findings are delivered through the RiskSense cloud-service and cover the assessment of a district's entire voting ecosystem, including devices, applications, databases, networks, etc., for vulnerabilities, missing patches, misconfigurations, and more. RiskSense allows resource and security expert-constrained districts to know what to urgently fix, and receive validation that remediation actions were successful.

"I am not a security expert, but I knew it was important to assess the security of the technology and processes used in my district," said the New Mexico Secretary of State. "The priorities and prescriptive actions provided to our IT staff by RiskSense allowed us to prepare and remediate quickly as findings came to light with the specialized attack scenarios. We have the results to share amongst our constituents that our district will not be idle nor let our community be vulnerable to tampering."

DDN Simplifies the AI Data Center with NVIDIA

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DataDirect Networks (DDN) today announced it is teaming with NVIDIA to transform data centers with storage and compute solutions that are fully integrated and optimized for AI and deep learning (DL) workloads. Backed by deep AI expertise in both storage and computing, the DDN A³I platform with NVIDIA DGX-1 AI supercomputers delivers a validated, pre-configured solution that enables high performance at scale, thus making it faster and easier for every enterprise to gain data-fueled insights through the power of AI and deep learning.

"Artificial intelligence and deep learning applications are creating some of the most challenging workloads in modern computing history, and are straining traditional compute, storage and network resources," said Paul Bloch, president and co-founder, DDN. "DDN A³I with NVIDIA DGX-1 is an integrated solution that provides unlimited three-dimensional scaling and improved performance as clusters grow, accelerating the end-to-end AI and DL workflow. DDN A³I with DGX-1 is driving faster iteration and, most importantly, speeding business innovation."

DDN A³I with NVIDIA DGX-1 provides a turnkey solution that delivers a true end-to-end parallel architecture providing the highest throughput, lowest latency and maximum concurrency in data delivery to applications. Easy to deploy, manage, scale and support, the joint solution, available through AI-specialized resellers, delivers immediate workflow enablement and full saturation of GPU resources, all backed by one of the world's strongest pools of deep AI expertise.

BlueData Announces General Availability on Google Cloud Platform and Microsoft Azure

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BlueData, provider of the leading container-based software platform for AI and Big Data workloads, today announced the general availability (GA) of its BlueData EPIC software on Google Cloud Platform and Microsoft Azure. This makes BlueData the only unified solution for Big-Data-as-a-Service and AI-as-a-Service with the flexibility to support all three major public cloud services as well as on-premises and hybrid cloud deployments.

Public cloud services continue to be an increasingly popular option for many workloads in the enterprise - including applications for distributed analytics, data science, machine learning, and deep learning. But most enterprises today want the ability to deploy these applications quickly and easily regardless of the infrastructure, either on- or off-premises. They want self-service, elastic, automated, and secure environments for machine learning and analytics - whether the underlying compute and data storage is hosted in one public cloud or another, in their own data centers, or in a hybrid architecture.

Leveraging the inherent infrastructure portability of Docker containers, BlueData is committed to supporting these multi-cloud and hybrid cloud options for Big Data and AI deployments. Last fall, BlueData introduced the initial directed availability of BlueData EPIC on Google Cloud Platform (GCP) and Microsoft Azure - adding to its existing GA support for Amazon Web Services (AWS). And over this past year, BlueData has introduced additional new capabilities for AI, machine learning, and deep learning applications in multi-cloud and hybrid models.

 

C3 IoT and Google Cloud Announce Partnership

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C3 IoT today announced a strategic partnership with Google Cloud to accelerate AI and IoT application development for enterprise digital transformation.

With this partnership, C3 IoT and Google Cloud have developed an integrated solution that seamlessly delivers the C3 IoT Platform - a comprehensive platform as a service (PaaS) for rapidly developing and operating big data, predictive analytics, AI, and IoT software applications - on Google Cloud Platform, leveraging its cutting-edge infrastructure and AI services. Additionally, the companies will execute co-marketing, co-selling, and co-training initiatives to rapidly scale distribution globally and accelerate customer success.

HiveIO Launches Hive Fabric 7.0, Bringing Next-Gen Intelligence to the Data Center

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HiveIO, a company that transforms commodity data center equipment into a software-defined virtualization solution, today announced version 7.0 of Hive Fabric, the industry's first zero-layer, hardware- and vendor-agnostic solution that provides high-performing, scalable technology to remove complexity from the data center. The artificial intelligence (AI) ready hyperconverged fabric (HCF) solution delivers next-generation data center management technology in a simple-to-deploy and easy-to-operate platform.

Current IT architecture requires highly skilled specialists with a range of certifications to manage the data center. Offering all the components of a hyperconverged solution, Hive Fabric 7.0 satisfies the performance, scale, and security that enterprises demand while eliminating confusing licensing and multi-vendor integration and management that come with traditional hyperconverged infrastructure.

Neurala Announces Brain Builder "AI for Good" Competition for Developers

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Following the announcement of its Brain Builder beta program, Neurala, the award-winning artificial intelligence company, today announced a call for submissions for its "AI for Good" competition.

Developers who participate in the "AI for Good" contest will have the chance to win a $1,000 first-place cash prize. The second-place finalist will win an EVGA GeForce GTX 1080 Ti SC2, and the third-place winner will receive a DJI phantom 3. Entries will be judged by a panel of industry experts. Neurala's own applications and commitment to this theme include its work with Motorola Solutions' first responder body cams to help find missing children, as well as its partnership with the Lindbergh Foundation to help combat animal poaching in Africa.

Each proposal should feature a detailed explanation of the approach the applicant will take to achieve the desired objective. This may include technological frameworks, development pathways, test dataset, what functions and technologies will be utilized, and how success will be measured.

MapR Academy Delivers New Machine Learning Course, Free and On-Demand

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MapR Technologies, Inc., provider of the industry's leading data platform for AI and Analytics, today announced a new, free introductory course from MapR Academy on Artificial Intelligence (AI) and Machine Learning (ML).  This on-demand course provides insights into how businesses can leverage AI and ML to improve operations through real-world use cases.  This course is ideal for developers just starting out in ML, as well as higher-level business decision makers.

"Machine learning, a trending topic in big data, is not fully understood.  This course provides a foundation for anyone curious about ML/AI and how it works in practical applications," said Suzanne Ferry, vice president, global training and enablement, MapR.  "Decision-makers, even those who already use big data, will benefit from learning more about common ML/AI business use cases."

 

Dynatrace announces Software Intelligence support for Google Cloud Platform

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Software intelligence company, Dynatrace, today announced at Google Cloud Next 2018, automated support for Google Cloud Platform (GCP) environments. With this announcement, operations teams can extend the scope of the Dynatrace platform to workloads in Google Cloud, eliminating manual and siloed monitoring of independent Kubernetes clusters, and enabling automatic AI-assisted answers to performance problems across GCP workloads.

"Historically, due to the complexity of enterprise cloud environments, monitoring solutions for GCP have operated in siloes, focusing only on Kubernetes clusters or workloads independently. This has rendered organizations unable to understand how performance problems within one application or container may be impacting the performance of others. As a result, enterprises can easily overlook performance issues that put the software performance at risk," said Alois Reitbauer, VP, Chief Technology Strategist, Dynatrace.

Five9 Announces New Integration With Google Cloud Contact Center AI - Provide Businesses the Ability to Improve Customer Service

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Five9, Inc., a leading provider of cloud contact center software for the digital enterprise, today announced an integration with Google Cloud's new Contact Center AI, a solution that combines multiple AI products to improve the customer service experience, as well as the productivity of contact centers.

Google Contact Center AI is a simple, secure, and flexible solution that allows enterprises with limited machine learning expertise to deploy AI in their contact centers. The solution integrates with Five9 making customer integration of AI into their systems easy.

Key features of Five9's integration with Google Contact Center AI include: