Pivot3 adds AI and automation

Pivot3 has added new artificial intelligence (AI) and automation features to its Acuity software to address the data protection challenges often faced in large-scale hyperconverged infrastructure (HCI) deployments. These capabilities provide unprecedented resilience for large multi-petabyte environments, allowing customers who experience catastrophic hardware failures to quickly recover while ensuring high-availability with auto-healing, quick node rebuild and intelligent monitoring and analytics.

Customers are increasingly required to manage massive amounts of data generated by video surveillance, both for long term retention and for analysis with video analytics,” said Ben Bolles, vice president of product management, Pivot3. “The sheer scale of the infrastructure needed to support these use cases presents new resilience challenges, and organizations are increasingly concerned about capturing, protecting and capitalizing on this mission-critical data. Pivot3 is meeting this growing challenge with new automation and intelligence capabilities to provide customers with peace of mind, knowing their system is resilient, secure and always available.”

At the core of Pivot3's Acuity software platform is the Pivot3 Intelligence Engine. The Intelligence Engine comprises many advanced data- and performance-management capabilities, including its market leading Business Policy Management feature. This enables customers to map business objectives to resource management through simple policies. Pivot3 uses AI and machine learning to understand application performance, protection and security requirements and to make real-time system changes so SLAs are met. The Intelligence Engine also monitors system health and performs predictive maintenance to ensure maximum system availability. This automates time consuming systems administration and maintenance tasks to reduce operating expenses and to allow organizations to scale without adding additional IT resources.

Pivot3’s Intelligence Engine now includes a suite of new auto-healing capabilities. Designed to automate human decisions and tasks, the new features replace manual recovery processes by automatically adding a node back to a cluster once it has recovered from a failure. Pivot3 has also introduced a quick node rebuild feature to reduce repair times up to 90 percent and to eliminate the need for a time-consuming full node rebuild. This significantly lowers the risk of a second failure.

Other enhancements to the Intelligence Engine include intelligent automation, AI and analytics for proactive system health, configuration optimization and support. These additional system analytics and diagnostics provide customers with improved system health and performance and the ability to automatically share information to Pivot3’s Support Cloud. Proactive system monitoring flags events in real-time with on-alarm dispatch to Pivot3 Support and provides daily status reports. New AI and machine learning techniques analyze phone-home data and alert the customer to options if a system is not in compliance with best practices.

“With the real-time system monitoring, Pivot3 Support now alerts my team to unforeseen failures and provides remediation,” said Jeremiah Francis, director of information technology at Financial Advocates. “Additionally, receiving daily system health and configuration status reports allows us to ensure our system is running at peak performance; we can now more easily resolve potential points of failure and optimize for success.”

Army uses Immersive Labs to optimize digital professionals’ cyber security abilities as part of its modernisation.
As we move into 2022, the trends we see emerging will increasingly be geared towards delivering improved user experiences and innovation at speed. Unlocking data and harnessing digital capabilities will be the cornerstone of future transformation initiatives, with composable businesses set to take centre stage in the year ahead. MuleSoft, provider of the world’s #1 integration and API platform, has outlined the trends that will shape these emerging operating models and IT priorities in 2022.
Amido research shows 88% of retail tech decision makers (TDMs) see the potential of the likes of AI, AR and VR as ways to increase their competitive advantage, but many are struggling trying to meet the convenience demands of consumers.
Precise, AI-powered insights enable DevOps and SRE teams to proactively optimize cloud-native applications and infrastructure.
EkkoSense has launched Cooling Advisor – a powerful machine learning and AI-powered advisory software tool that helps data center operations teams to keep their critical facilities thermally-optimized.
Arming manufacturers, banks, healthcare organisations and retailers for the future of Intelligent Business.
BT has developed an epidemiology-based cybersecurity prototype, “Inflame”, which uses deep reinforcement learning to enable enterprises to automatically detect and respond to cyber-attacks before they compromise a network. Using the spread of viruses in human populations as a model to inform its AI, Inflame is a key component in BT’s recently-announced Eagle-i platform.
Partnership to be featured at COP26, highlighting how data-driven solutions and predictive analytics are fundamental to addressing climate change and stopping illegal logging in Sumatra.