Palo Alto Networks is stepping up cloud data security by introducing two powerful solutions, Data Security Posture Management (DSPM) and Data Detection and Response (DDR). These tools are engineered to provide businesses with greater visibility and control over their data in cloud environments, ensuring compliance and safeguarding against potential breaches. Leveraging advanced analytics and real-time monitoring, Palo Alto Networks’ enhancements offer a more comprehensive approach to securing sensitive information in the cloud. Learn more in this Gestalt IT article by Sulagna Saha.
CyberSense’s AI-Based Detection for Maximum Confidence
CyberSense from Index Engines delivers an AI-based analytics tool that provides organizations with enhanced confidence in their ability to detect and recover from cyberattacks. The solution offers a robust layer of defense that goes beyond traditional data recovery methods, validating the integrity of data before restoration. With CyberSense’s cutting-edge AI detection, enterprises can significantly minimize the risk of data corruption and ensure maximum data fidelity in the wake of security breaches. Read Sulagna Saha’s article at Gestalt IT to learn more.
Aryaka Launches Unified SASE Delivered as a Service
Aryaka Networks has announced the launch of its Unified SASE solution, providing a seamless, as-a-service offering aimed at reinventing enterprise network security and optimization. This new service integrates cutting-edge security capabilities into Aryaka’s global SD-WAN platform, catering to the modern enterprise’s demand for a comprehensive, agile, and secure networking infrastructure. With Aryaka’s Unified SASE, businesses can look forward to a simplified deployment and management experience while ensuring robust security standards for their distributed workforces. Read more in this article by Sulagna Saha at Gestalt IT.
VAST Data Releases New DASE Architecture Based on NVIDIA BlueField-3 DPU
VAST Data introduced their revolutionary DASE (Disaggregated Shared Everything) Architecture at AI Field Day, which integrates NVIDIA BlueField-3 DPUs to deliver superior performance for AI-driven data centers, as explained by Sulagna Saha. This architecture enables independent scaling of compute and storage resources, simplifying operations and reducing costs with easy management, particularly benefiting cloud service providers. Alongside significant energy savings, the VAST Data Platform offers robust quality of service and enhanced security by isolating data management from host systems, marking a leap forward for high-performance computing environments like those of NASA and NIH. Read more in this Gestalt IT article by Sulagna Saha.
Solidigm SSDs for the AI Era – Small Size, Big Value
Solidigm’s presentation at AI Field Day focused on their ambition to deliver industry-leading storage solutions that address the escalating storage and energy consumption needs of AI workloads, as Sulagna Saha reports for Gestalt IT. Positioning itself as a provider of affordable, high-capacity SSDs, Solidigm’s D5-P5336 model stands out with its 61TB capacity within a compact 2.5” form factor, presenting a pathway to significantly lower TCO and energy costs for massive AI deployments. The company’s innovative storage solutions, coupled with Cloud Storage Acceleration Layer (CSAL) technology, promise to streamline data flow to GPUs, enhancing model training and inferencing performance across varied AI workflows.
Building a Future-Proof AI Foundation With VMware Private AI
VMware’s presentation on Private AI at AI Field Day emphasized their forward-looking approach in creating a scalable and secure foundation for enterprises investing in artificial intelligence. Their platform addresses the challenges of AI deployment and management, optimizing compute resources and providing robust data processing capabilities. With VMware’s Private AI, businesses are empowered to harness the full potential of AI applications while ensuring compliance and protecting sensitive data. Read more in this Gestalt IT article by Sulagna Saha!
Guaranteed Performance Outcomes With Nile Access Service
At Networking Field Day, Suresh Katukam, Co-founder and CPO of Nile, introduced the Nile Access Service architecture, aiming to alleviate complexities in modern networks by providing guaranteed performance outcomes. Nile’s approach simplifies network operations with streamlined solution architecture, integrating wired security, wireless coverage, and management into a service-consumable model. The company emphasizes eliminating the pain points of product-centric innovation by unifying disparate technologies under a service that promises broad automation, AI-driven observability, and zero-trust security by design. Read more in this Gestalt IT article by Sulagna Saha!
Hammerspace Global Data Environment – a Shared Space for All the Data
Hammerspace’s presentation at AI Field Day showcased its Global Data Environment, which streamlines data orchestration for AI model training by providing global real-time visibility and access to distributed datasets. The company’s innovative approach decouples file system metadata from the underlying storage, enabling a universal access layer across geographies and cloud platforms. By facilitating a shared metadata control plane, Hammerspace ensures seamless user experience and efficient data management for complex enterprise AI workflows. Read more in this Gestalt IT article by Sulagna Saha.
Forward Networks – Building Complete Confidence in AI Systems
At Networking Field Day, Forward Networks unveiled AI Assistant, a natural language interface enhancing its platform with generative AI, signifying a leap in network technology usability and trust. Distinguished from ordinary AI tools, AI Assistant harnesses the power of Forward Networks’ digital twin technology, ensuring validations and accurate, trusted responses in complex IT environments. The integration of AI Assistant simplifies data access through natural language queries, accelerating tasks for IT professionals and paving the way towards autonomous, self-healing networks. Read more in this Gestalt IT article by Sulagna Saha.
Keeping GPUs Fed Around the Clock, With Solidigm
As discussed at AI Field Day, Solidigm’s storage system addresses the diverse and intense demands of AI workloads, ensuring GPUs remain constantly fed with data. Recognizing the variety in I/O patterns and the substantial data processing required for machine learning, Solidigm’s SSDs offer superior performance for sequential and random read/write activities, consuming less power and space in datacenters. Additionally, their Cloud Storage Acceleration Layer (CSAL) software enhances the durability and efficiency of SSDs by optimizing write patterns, making it an open-source boon for those seeking to streamline AI-based operations. Read more in this Gestalt IT article by Sulagna Saha.
No-Code Machine Learning With Qlik AutoML
At AI Field Day, Qlik launched AutoML, a revolutionary no-code machine learning capability within Qlik Cloud, empowering enterprises to harness predictive analytics without the barriers of cost or lack of expertise. This innovative feature allows organizations to effortlessly integrate algorithmic prediction into their workflows, enabling data-driven decision-making across various departments from sales to finance. AutoML stands out as a tool that simplifies machine learning, offering a straightforward approach where users can develop models and analyze future trends with just a few clicks, transforming complex data science into actionable insights. Read more in this article by Sulagna Saha from Gestalt IT.
Everyday Networking With Aviz Networks’ New Smart Assistant, Network Copilot
Aviz Networks unveiled its Network Copilot Smart Assistant at Networking Field Day, a groundbreaking solution designed to redefine AI-enhanced networking by going beyond just data analytics to deep, seamless integration with existing network infrastructure. This Smart Assistant stands out with its ability to ingest and process vast network data across any environment, leveraging pre-trained open-source language models for robust, personalized network optimization. Aviz Networks’ Network Copilot is poised to transform everyday network operations, offering capabilities like compliance analysis, capacity planning, and advanced troubleshooting through an intelligent, vendor-neutral platform that simplifies and accelerates network management. Learn more in this article from Gestalt IT.
Nature Fresh Farms – Optimizing Indoor Farming Practices With AI and Intel
At AI Field Day, Nature Fresh Farms, a leader in greenhouse farming in North America, revealed how the strategic use of Intel AI solutions revolutionized their farming practices towards precision agriculture. Keith Bradley highlighted the transition from traditional to high-tech farming, with on-premises Intel-based infrastructure enabling real-time data analytics for improved yield, resource efficiency, and operational control. Emphasizing sustainability and the growing importance of AI in agriculture, Bradley shared how Nature Fresh Farms harnesses predictive AI models on the farm, leveraging technology to optimize every aspect from irrigation to packaging and contributing to a marked increase in yield per square meter annually. Read more in this Gestalt IT article by Sulagna Saha.
Deploying AI Cost-Effectively at Scale With Kamiwaza
At AI Field Day, Kamiwaza introduced their open-source stack, designed to enable GenAI to scale elastically, addressing the common hurdles of infrastructure cost and operational scale faced by enterprises. With a vision to empower businesses to achieve a trillion inferences a day and ignite the 5th industrial revolution, Kamiwaza’s stack facilitates AI deployment across various environments, from cloud to edge, guaranteeing security and manageability of dispersed data. The stack’s compatibility with Intel CPUs ensures that enterprises can harness efficient AI inferencing power with minimal energy consumption, making sophisticated AI accessible and sustainable for organizations of all sizes. Read more in this Gestalt IT article by Sulagna Saha.
Google Cloud, the Preferred Platform for Building Competitive AI Models
At AI Field Day, Google Cloud’s Brandon Royal showcased the giant’s comprehensive strategy for meeting today’s burgeoning AI demands, leveraging one of the industry’s most extensive digital infrastructures. Emphasizing the significance of AI infrastructure in conjunction with generative AI (GenAI), Google Cloud highlighted their commitment to innovation, asserting their platform as the superhighway for AI-forward companies. With Google Cloud providing robust compute power off its own infrastructure, businesses can harness AI’s opportunities without the traditionally high entry barriers of infrastructure costs and expertise. Read more in this article by Sulagna Saha for Gestalt IT.
Intel Xeon CPUs on VMware vSphere – A Powerful and Cost-Effective Twosome for AI/ML Workloads
With AI ingrained in our daily routines, Forward Networks delivered a strategic approach at Networking Field Day, demonstrating how even complex networking data can be made manageable through AI integration. Their platform uses a data-first principle, enabling AI to interact effectively with a digital twin of network infrastructure, simplifying tasks for network engineers. The innovative AI Assistant within Forward Networks’ ecosystem assists in constructing queries for the Network Query Engine, fostering trust through verifiable, human-readable outputs, and providing a gateway for more intuitive network management. Read more in this article by Sulagna Saha on Gestalt IT.
Taking on AI Inferencing With 5th Gen Intel Xeon Scalable Processors
Intel’s 5th Generation Xeon Scalable Processor, known as Emerald Rapids, offers an advantageous solution for AI inferencing, providing a compelling alternative to GPUs in certain applications. Highlighted during the AI Field Day event, Intel showcased the processor’s suitability for general-purpose AI workloads, especially for private AI deployments requiring lower latency and mixed workloads. In his presentation, Ro Shah illustrated that Xeon CPUs are well-equipped to handle AI models with fewer than 20 billion parameters, making them a cost-effective and efficient choice for many enterprises. Read more in this article from Gestalt IT.
Replacing Human-Driven Automation With One That Is Event-Driven, With Cisco
In a move to enhance network management efficiency, Cisco is replacing the existing human-driven automation with an innovative event-driven approach. Network controllers centralize operations by maintaining an inventory of network states, and event-driven automation streamlines this further by automating responses to network changes, reducing manual intervention and speeding up the resolution process. Cisco’s event-driven solutions were explored in detail at Tech Field Day Extra at Cisco Live EMEA 2024, promising elevated operational capabilities with a focus on observability and swift auto-configuration. Read more in this article from Gestalt IT.
Policy Management Gets Easier With Cisco AI Assistant
Cisco’s AI Assistant, unveiled at Tech Field Day Extra at Cisco Live EMEA 2024, promises to revolutionize policy management within Secure Access, offering swift and reliable creation and enforcement of security policies. Emphasizing simplicity and risk reduction, the AI tool handles English language prompts to generate comprehensive policies, demonstrating its capability to securely augment and automate IT administrator tasks. Showcasing AI’s monitoring role, Cisco Secure Access also ensures protected use of AI tools within organizations, preventing sensitive data breaches and incorporating intelligent user access control.
Doubling Down on Network Observability With IP Fabric and NetBox Labs
At Tech Field Day Extra at Cisco Live EMEA 2024, IP Fabric revealed a collaboration with NetBox Labs, emphasizing a strengthened focus on Network Observability through their Automated Network Assurance Platform and a versatile NetBox plugin. This strategic alliance addresses the complexities of visualizing and managing multifaceted network environments by merging extensive visibility with dynamic topology modeling. IP Fabric’s innovative approach promises improved data accuracy and operability across network architectures, aligning observed network states with intent-based configurations to support efficient and reliable network operations.