Server Virtualization, Virtual Server Infrastructure
globenewswire | June 27, 2023
Impero Software, a leading provider of online student safety, classroom management and secure remote access software, today announced during ISTELive 2023 that it has incorporated AI and machine learning into its newly debuted “Impero Wellbeing” student safety software, dramatically elevating its capabilities of safeguarding learners.
When installed on student devices, Impero Wellbeing actively and automatically monitors for harmful keywords – such as those having to do with self-harm, bullying, violence, drugs, weapons, pornography or radicalization. If the software detects a student typing potentially dangerous keywords, it then records the incident by snapping a series of screenshots and flagging them in real-time for teacher and administrator review. The AI component is able to sort through the potentially thousands of flags and intelligently cut through false positives to give teachers immediate visibility to any concerning student behavior.
“The launch of machine learning for Impero Wellbeing is taking our goal of ensuring the safety of every learner to the next level,” said Justin Reilly, CEO of Impero Software. “Even the most intricate, nuanced filtering solution can have potentially thousands of false positives. We recently had a great example - perhaps a student is typing to their friend that they’re excited to go to the theater and see the new ‘Suicide Squad’ movie. That’s obviously a very different situation than looking up information on suicide. Our AI-powered solution is able to achieve a dramatic reduction in these false positives that would take up valuable staff time and alert teachers to only the truly dangerous phrases and searches – saving precious time that can make all the difference for a student in crisis.”
In addition to this active online monitoring, Impero Wellbeing can be paired with Impero Safeguard, a digital toolbox allowing teachers to record observed, “offline” events. If a student comes in without a jacket during a harsh winter or has visible bruises, teachers can log these concerns into a student profile for further investigation. Impero Wellbeing & Safeguard are unique in that they combine the “offline” and “online” flags into a single holistic view that gives teachers and school staff a full picture of a student’s physical and mental wellbeing.
“It’s impossible to overstate how much of a difference having this technology at their back makes for teachers in today’s classrooms,” said Impero’s Product Engagement Manager Channing Anderson, who has previous experience as a teacher and school IT director. “Teachers today are being asked to fight against a mental health crisis while half their students are only visible through a screen. They can’t always see what’s happening, and these software solutions are transformative in catching red flags and taking proactive action well before any real danger presents itself.”
Other key features of Impero Wellbeing include:
Granular permission levels for school staff to protect confidential student information.
A constantly reviewed database of over 7,000 concerning keywords and phrases covering mental health, sexual exploitation, criminal exploitation and more.
Integration with Impero Safeguard, enabling the online captures to be included in student-specific chronologies. These chronologies can be securely shared, making it easier than ever to support referrals and aid specialist intervention.
Intuitive reporting that paints a picture of individual student behavior, as well as trends across a class, year group and whole school - giving you valuable context to plan appropriate intervention tactics.
Full GDPR compliance with a firm commitment to student data privacy and security.
Full compatibility with Windows, macOS, iOS, Android and ChromeOS.
About Impero Software
Impero is a global leader in digital solutions for safe and efficient studying and working environments, keeping students on-task and safe, and providing secure and efficient platforms for employees working remote.
In 2022, Impero acquired ContentKeeper, considered one of K-12's best web filtering solutions. Today we work directly with technical teams, schools, MATs, and Fortune 500 companies in more than 90 countries.
Virtual Desktop Strategies, Virtual Server Infrastructure
prnewswire | August 21, 2023
DataBloom AI, a leading provider of virtual data lakehouse solutions, today announced the beta release of Blossom Sky for Google Cloud. The beta release is part of Databloom AI's cooperation with Google for Startups Cloud Program.
Blossom Skyis the first virtual data lakehouse (VDL) on the market. It enables organizations to store, process, and analyze data within multiple data lakes and data warehouses via a single, unified platform. Federated data processing enables customers and users to manage and process their data directly at the source through data pipelines, including low-level data operations like map, join, filter, or map reduce and high-level machine learning operations such as KMeans, SGD or PageRank.
This provides organizations with a number of benefits, including:
Increased Data Scalability and Flexibility: Blossom Sky enables organizations to leverage their existing data infrastructure without centralizing data. This provides organizations with the ability to scale up or down as required.
Reduced Data Duplication and Complexity: Blossom Sky removes the need for expensive Extract, Transform, Load (ETL) and data transfer costs, reducing data duplication and making data management easier for organizations.
Better Data Security and Governance: Blossom Sky brings federated data processing to every organization as a Software as a Service (SaaS) solution.
Time to insights (T2I): Blossom Sky brings together data silos in a single data management platform, making it easier for organizations to discover, analyze, and act on data, resulting in faster T2I.
"We are excited to partner with Google Cloud to bring Blossom Sky to market," saidAlexander Alten, CEO of Databloom AI. "Google Cloud's infrastructure and services provide the perfect foundation for our platform, and we believe that this partnership will help us to accelerate our growth and reach more organizations around the world."
Databloom AI, headquartered inMiami, FL, is one of the world's leading virtual data lakehouse providers. Databloom's cloud-based data lakehouse platform allows organizations to consolidate, manage, and analyze data across multiple data lakes or data warehouses in one, single platform.
Virtual Desktop Tools, Server Hypervisors
prnewswire | July 20, 2023
RISC Zero, developer of leading general purpose zero-knowledge (ZK) virtual machine technology, has raised a $40 million Series A. The round was led by Blockchain Capital and joined by seed round lead Bain Capital Crypto, with participation from other notable investors including Galaxy Digital, IOSG, RockawayX, Maven 11, Fenbushi Capital, Delphi Digital, Aglaé Ventures, IOBC, Tribute Labs' Zero Dao, Figment Capital, and Alchemy Ventures.
RISC Zero's mission is to equip developers and infrastructure providers with novel cryptographic tools to power the next generation of trustless, scalable, and decentralized computation; both on and off-chain — allowing them to build solutions that defy common assumptions about the capabilities of blockchains and other federated and cooperative computing systems. Our innovative system enables users to confidently take control of their digital world by ensuring computational integrity and producing indisputable receipts of accurate program execution.
"Imagine a world where data privacy, security, and trust are no longer concerns, where software supply chains are transparent and verifiable, and where a new generation of applications can harness the power of zero-knowledge computing to solve some of the most pressing challenges of the digital age. This is the promise of zero-knowledge computing and the reason we are investing in RISC Zero" - Bart Stephens, Founder and Managing Partner at Blockchain Capital
RISC Zero's ZK Virtual Machine (zkVM) enables developers to build ZK-powered applications with the convenience of conventional programming languages such as Rust and C++. Utilizing advanced features such as continuations, RISC Zero's zkVM can run programs of arbitrary complexity and scope while utilizing off-the-shelf computing platforms — a first in the blockchain industry.
"We're honored to be supported by all of our incredible capital partners and the visionary leaders and teams that have signed on to help us build this revolution in computing capability. We're excited to play our part in building a more open and trusted foundation for the future of the internet." - Brian Retford, CEO & Co-founder
This funding round will enable RISC Zero to bring its Bonsai computing platform to market, supporting rapid application development and deployment in both cloud and decentralized environments. With Bonsai, developers can focus on writing their application instead of worrying about the complexities of proof orchestration and server infrastructure.
The RISC Zero platform will drive the coming decentralized computing revolution. We are bringing general purpose computing to the zero-knowledge ecosystem – enabling users to trust programs run anywhere, while allowing developers to use the tools they already know and love. Public key cryptography ushered in the modern internet era by fundamentally altering digital trust dynamics. Similarly, zero-knowledge computing will radically alter the way we interact digitally and enable entirely new classes of applications.
Virtual Desktop Strategies, Virtual Server Management
businesswire | August 18, 2023
LogicMonitor, a leading SaaS-based unified observability platform for hybrid IT infrastructure, today announced expanded integrations, insights and workflows to the LM Envision Platform. LogicMonitor is also introducing Dexda, an event management solution that filters through the noise of thousands of daily alerts by using advanced machine learning (ML) techniques, contextual enrichment capabilities and deduplication efforts. Together, these additions allow customers to reach a significantly lower mean time to resolution and lower risks to the business.
“Every business is under tremendous pressure to seamlessly deliver exceptional digital performance,” states Christina Kosmowski, CEO, LogicMonitor. “To efficiently do that, our customers look to us to contextualize the overwhelming amount of data within their complex IT environments.“
The core of LogicMonitor’s platform has been built with advanced machine learning, intelligence and automation, combined to abstract complexity and deliver business impact through IT data collaboration. The company has focused its product roadmap in the areas of intelligence, experience and extensibility.
Intelligence and Automation
Dexda is the next evolution of AI Ops. It is built on top of LogicMonitor’s extensive data set and integrated into its platform, so users can effortlessly move from alerting to automating actions. Key attributes of Dexda include:
Adaptive Correlation- Alerts are automatically re-clustered when a more optimal option is detected.
ServiceNow Ready- Automatically enriches Dexda alerts with ServiceNow CMDB data to drive additional context for ML correlations.
User-defined Correlation- Dexda admins can now fine-tune the ML models to meet their unique needs or build new ML models.
In addition to Dexda, LogicMonitor has also delivered:
Event-Driven Ansible Integration- This jointly developed solution with Red Hat assists with auto-remediation and auto-troubleshooting. This integration lets customers trigger remediation workflows in Ansible and act in accordance with predefined rules.
Datapoint Analysis- Leverages machine learning techniques to find related metrics and patterns across different resources, which in turn reduces MTTR and increases productivity.
Unified Platform Experience
A unified platform experience is critical for consistency, adaptability and scalability while reducing tool sprawl and data complexity. Troubleshooting in hybrid modern environments requires a contextual and intuitive UX across devices, services and networks. This modernization and unification effort is the key to continually delivering new capabilities to users and keeping time to value short for new customers.
UI Modernization- Optimized to present information in complex hybrid environments. Components for all parts of the LM Envision platform now include bulk actions, better search and filtering and new editors for LogicModules.
Expanded Cloud Support- 20 new out-of-the-box dashboards for AWS and Azure, accelerating time to value while providing service-specific views for more insight into health, performance and availability.
Log Ingest and Filter Simplification- Introduced declarative UI to simplify log collection and configuration. Users can also add custom LM Properties to the logs which allows for more flexible searching and potentially faster MTTR.
Digital Experience Monitoring- Synthetic tests now support multi-factor authentication (MFA) and automated alerts for latency and error conditions.
As a trusted partner in the advancement of monitoring across on-prem, hybrid and cloud environments, LogicMonitor continues to invest in new ways to manage and monitor network equipment through integrations woven tightly into its overall platform experience.
Improved VMware vSphere Support- Support for vSphere 8 and automation for the discovery and monitoring of new ESXi Hosts and mission-critical Virtual Machines, eliminating manual processes – reducing the time, resources and risk involved in repeatable remediation processes.
Cisco Meraki and Catalyst SD-WAN- These new integrations make it easier than ever to monitor Cisco environments in the broader context of one's heterogenous hybrid infrastructure. Customers can now get alerted about anomalous events, visualize network traffic usage and see how Cisco vEdge/cEdge (formerly Viptela), SD-WAN Controllers, Meraki Security Appliances, Switches, Wireless Access Points and Smart Cameras connect to their network and where alert conditions exist.
Improved Kubernetes Monitoring- Greater coverage and deeper visibility into frequently changing cloud environments with new support and coverage for Amazon Elastic Kubernetes Service (Amazon EKS) Anywhere and enhanced Kubernetes helm and scheduler monitoring.
SaaS Monitoring-M365 and Okta logs allow users to clearly understand why problems happen, pinpoint the root cause and quickly troubleshoot alongside alerts.
By advancing many key features of its platform, LogicMonitor customers can harness the full potential of their data to make informed decisions with confidence and efficiency. This approach not only streamlines operations, but also provides clarity and precision to the complexities of their IT landscape.
LogicMonitor’s SaaS-based observability intelligence platform, LM Envision, helps ITOps, CloudOps, DevOps, CIOs, and business leaders gain operational visibility into and predictability across the technologies that modern organizations depend on to deliver extraordinary employee and customer experiences. LogicMonitor seamlessly enables unified observability across infrastructure, networks, clouds, containers and applications, empowering companies to focus less on troubleshooting and more on innovation.