The alliance between Mannai InfoTech and BUSINESSNEXT marks a significant blend of modern technology, domain expertise, business consultation and implementation services to deliver high-impact customer experience and relationship management solutions for the banks in Qatar.

Recognized as a leader in Forrester Wave Financial Services CRM, 2023, with a user base of over a million bankers globally servicing more than a billion banking customers on its platform. BUSINESSNEXT offers cutting edge suite of solutions, including CRMNEXT, CUSTOMERNEXT, DATANEXT, and WORKNEXT, empowering the bank with specialized AI-powered and cloud-agnostic customer engagement platform, delivering easier, faster, and more personalized modern banking experiences. The alliance will bring unparalleled benefits to the Qatar banking sector with its specialized AI capabilities like personalized customer intelligence, onboarding journeys, risk rating models, accelerated back-office operations, product recommendations, smart bots, next-best actions, and much more. It has specialized offerings covering all lines of business for banks including retail banking, corporate banking, and Islamic banking. In addition, it specializes in delivering modern lending experiences with new-age UI/UX, an automated parameterized smart credit engine, and ready ecosystem integrations.

Mr. Vishal Khurana, Region Head – Middle East and Africa, BUSINESSNEXT, stated, “We are thrilled to partner with Mannai InfoTech to further accelerate the delivery of our innovative solutions to the Qatar Banking Sector. This alliance will empower banks in Qatar to navigate the complexities of digital transformation and achieve remarkable growth and efficiency.”

Mannai InfoTech’s extensive regional expertise and robust market presence in Qatar banking industry will be instrumental in the successful deployment of BUSINESSNEXT’s solutions. This collaboration ensures that financial institutions can integrate these cutting-edge technologies seamlessly, resulting in enhanced customer engagement, improved service delivery, and greater operational agility.

Mannai InfoTech’s Senior Vice President, Binu M R, said, “The synergy between BUSINESSNEXT’s technological prowess and Mannai InfoTech’s domain expertise is expected to drive significant advancements in technology, improving customer loyalty and business growth across the banking industry. Together, we aim to set new benchmarks in customer engagement, operational efficiency, and business growth, reinforcing our commitment to driving the future of banking in Qatar.”

This collaboration marks a pivotal moment in banking solutions, introducing unprecedented innovation and a profound focus on customer needs, resulting in increased cross-selling opportunities, enhanced Net Promoter Scores (NPS), massive reduction in customer servicing costs, faster go-to-market, and much more.

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 Tigunia, a leading Microsoft ERP, CRM, and IT infrastructure solutions provider, is excited to announce the opening of its new headquarters in Phoenix, Arizona. This strategic expansion marks Tigunia’s growth and strengthens its ability to offer cutting-edge technology solutions tailored for regional markets and time zones.

With diverse business management solutions and services designed to streamline and enhance operational efficiency, Tigunia’s offerings are set to revolutionize how Arizona and surrounding regional businesses can leverage technology to drive growth and success.

Tigunia’s highly trained specialists provide end-to-end technology services, including Microsoft Dynamics 365 Sales (CRM) and Business Central cloud ERP, business intelligence and reporting solutions, custom development, and specialty applications for managing sales tax and royalties. They also offer IT consulting and infrastructure services. Their combination of diverse solutions and expertise allows Tigunia to uniquely offer a one-stop shop for the technology needs of growing organizations across any industry to optimize their systems.

Ron Summers, CEO of Tigunia, expressed his pride in the company’s extensive growth over the last few years, “We are thrilled to bring our expertise and passion for innovation to the vibrant Arizona area. Staying at the forefront of emerging technologies is crucial for us, and we are dedicated to expanding our offerings to meet the evolving needs of today’s customers.”

Tigunia’s expansion into Phoenix strengthens its presence in the region and underscores its commitment to providing exceptional service to customers across neighboring geographies. Through its holistic approach to technology solutions and unwavering dedication to client success, Tigunia is well-positioned to help businesses achieve their goals and thrive in the modern digital landscape.
For more information about Tigunia and its innovative technology solutions, visit www.tigunia.com.

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Orby has now joined Databricks’ Built On Partner Program and is leveraging Databricks Mosaic AI to pretrain, build, deploy and monitor its innovative Large Action Model, ActIO, a deep learning model able to interpret actions and perform complex tasks based on user inputs.

“As the demand for data intelligence increases, Orby’s AI innovations are a real game changer in enabling enterprise automations that require truly cognizant reasoning,” said Naveen Rao, VP of Generative AI at Databricks.

“Orby’s unique LAM approach gives organizations the ability to complete tasks with increasing complexity and variability, easily automating complex tasks that, until now, just hasn’t been possible or practical,” Rao concluded.

LARGE ACTION MODEL TAKING CENTER STAGE

Unlike conventional Large Language Model (LLMs) approaches, which focus on interpreting language and generating responses, Orby’s unique Large Action Model (LAM), observes actions to automate tasks and make decisions.

Orby’s LAM simply observes a user at work, learns what can be automated, and creates the actions to implement it. Users then approve the process and can modify the actions at any time, this allows continuous improvement as Orby learns more.

Making generative AI truly useful for the enterprise requires incredible amounts of variable inputs to enable rapid contextual reasoning. Today’s open source and proprietary LLMs are trained on massive amounts of data, but of only one modality: language. Other multimodal models may allow for variable inputs but lack the complex planning and visual grounding capabilities necessary to translate these inputs into enterprise-ready actions that reason, adjust, continuously learn and improve. Large Action Models are uniquely suited to empower enterprise efficiency, but first must be trained on massive amounts of data across multiple modalities.

“Databricks Mosaic AI makes it possible to build a multimodal training pipeline at a scale that is essential for delivering unrivaled performance, accuracy and stability,” said Will Lu, Co-Founder and CTO of Orby.

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Through the offering, an organization can gain access to a range of core language services, including video remote interpreting, over-the-phone interpreting, in-person interpreting, and translation. In addition, SPS will offer wraparound services and solutions tailored to the specific needs of each organization, determined through a thorough analysis and evaluation of their language access program.

“Operating a language service department has traditionally been seen as a cost associated with doing business. With SPS, we are changing this narrative and redefining language services as a strategic part of patient care that instead has the ability to reduce cost by addressing common issues like longer lengths of stay, missed appointments and higher readmissions driven by a lack of language service resources,” said Jacobia Solomon, President, AMN Language Services. “The launch of SPS represents a significant milestone for the healthcare industry, and we are proud to be at the forefront of this innovative approach to language access in healthcare.”

SPS addresses common challenges faced by healthcare organizations, including limited resources, high staff turnover, compliance issues, and difficulty in serving limited English proficient populations. By leveraging AMN Healthcare’s industry and operational expertise, SPS aims to enhance the reliability, efficiency, and cost-effectiveness of language access programs while improving patient outcomes. Leaders at Yuma Regional Medical Center, an SPS pilot site, have begun experiencing the solution’s effects.

“Our staff have been very impressed with the speed at which our patients are getting connected with an interpreter and with the quality of the interpretation that is occurring,” said Tina Rube, Director of Patient Experience & Care Advocacy for Yuma Regional Medical Center. “We finally have the resources to fully provide for our many non-English speaking patients.”

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• Combined Fixed Wireless Access (FWA) and satellite connections support in the VMware VeloCloud Edge 710 appliance as well as the new VMware VeloCloud Edge 720 and 740 appliances.
• VMware VeloCloud SASE, secured by Symantec enhancements featuring the integration of VeloCloud and Symantec points of presence (PoPs).
• VMware Edge Compute Stack product enhancements.

According to IDC, worldwide spending on edge computing is expected to be $232 billion in 2024, an increase of 15.4% over 2023. Edge computing is expected to play a pivotal role in the deployment of AI applications. (1) Broadcom is evolving its software-defined edge portfolio to help enterprises address the growth of AI and non-AI workloads at the edge. Edge AI workloads are deployed at geographically dispersed locations to enhance business operations in order to reduce costs, increase sales or improve compliance. Unlike traditional IT workloads which are centralized at the data center, Edge AI workloads such as video inference cameras, industrial control systems, and other OT (Operational Technology) devices and applications are deployed locally and are largely autonomous, they are orchestrated rather than administered, they consume data where it’s being created, and are driven by the lines of business.

Broadcom defines the software-defined edge as distributed digital infrastructure for connecting, securing and running workloads across a number of locations, close to endpoints that are producing or consuming data. It extends to where the users and devices are – in the office, on the road, in a cell site, at a retail store or on the factory floor. Broadcom addresses the three layers of the software-defined edge: the edge compute stack which hosts the applications and workloads; the intelligent overlay where connectivity and security services run across the WAN; and the underlay network layer, which runs the software for network connectivity across fixed and 5G networks to provide orchestration and network programmability.

“We’re focused on enabling enterprises to adopt Edge AI workloads,” said Sanjay Uppal, vice president and general manager, Software-Defined Edge Division, Broadcom. “We’ve announced support for Fixed Wireless Access and satellite connections in VMware VeloCloud Edge to deliver critical, blended connectivity for OT devices as well as AI and non-AI edge workloads. We uniquely offer enterprises a good, better, best approach to connectivity at the edge by allowing them to tweak real-time WAN performance, gain insights from the network, and program the network. This convergence of the underlay network enables enterprises to build networks in minutes to support today’s and tomorrow’s workloads.”

Integrated FWA and Satellite Support to Enhance Connectivity for Edge AI Workloads
To address the need for more robust connectivity to support edge computing and Edge AI workloads, Broadcom today announced enhancements to the VMware VeloCloud Edge 710 appliance as well as introduced new VMware VeloCloud Edge 720 and 740 appliances. VeloCloud Edge 710 now provides enterprises with a combination of broadband, FWA, and satellite connections to significantly improve real-time voice, video, and application traffic – delivering enhanced connectivity at the edge. This blended connectivity provides enterprises with redundant, always-on connectivity for edge devices and workloads. Additionally, Communication Service Providers (CSPs) can use the VeloCloud Edge 710, 720, and 740 appliances to further modernize their infrastructure and monetize their services by delivering a premium, combined SD-WAN, FWA, and satellite offering to enterprise customers in support of their edge deployments. CSPs running both VeloCloud SD-WAN and VMware Telco Cloud Platform benefit from the ability to program the real-time performance of their WAN using insights from their networks. Read more in the blog post, “Unveiling the Future of Networking: VMware VeloCloud SD-WAN Edges 710-5G, 720, and 740.”

PoP Integration Boosts Enterprise Connectivity to the Cloud
To better assist enterprises with cloud connectivity, Broadcom today announced initial integration of VeloCloud SD-WAN points of presence (PoPs) with Symantec PoPs. This integration will further automate cloud access without compromising performance and security. VeloCloud SASE, secured by Symantec customers will also benefit from higher bandwidth and availability, lower latency, and global reach to major cloud and SaaS providers. Earlier this year, Broadcom announced the availability of VeloCloud SASE, secured by Symantec—a single-vendor SASE solution. The solution is a culmination of a joint effort to integrate best-in-class VeloCloud SD-WAN and Symantec Security Service Edge (SSE) capabilities—extending significant benefits to Broadcom’s VeloCloud and Symantec customers.

Simplifying Edge AI Workload Deployment and Lifecycle Management
The distributed nature of the edge produces numerous challenges for enterprises and their respective IT teams—from managing edge devices, applications, and infrastructure across multiple if not hundreds or thousands of locations. Enterprises are investing in solutions that enable zero-touch provisioning and application lifecycle management to accelerate the turnkey deployment of secure edge environments. An edge-optimized runtime and orchestration platform, VMware Edge Compute Stack delivers frictionless management of edge apps and infrastructure across many sites with limited resources. With its latest two releases, VMware Edge Compute Stack delivered critical capabilities to efficiently manage infrastructure and applications including Edge AI apps and workloads such as Small Language Models (SLMs) at dispersed sites, including: 

• Zero-Touch Orchestration: VMware Edge Cloud Orchestrator simplifies deployment and application lifecycle management across multiple sites by leveraging GitOps and desired state management. By automating these processes, enterprises enable consistent and efficient operations, even with limited IT resources.
• Pull-Based Architecture: Hosts always initiate the communication to the management plane as a keepalive, and also to fetch any changes to its configuration. This architecture puts less burden on the management plane, allowing it to achieve a much higher scale.
• Edge Infrastructure and Application Monitoring: It configures metrics gathering and transmission for infrastructure, virtual machines, and Kubernetes-based workloads. Customers can achieve comprehensive local edge monitoring in minutes with the included sample implementation of industry-standard monitoring tools and pre-built dashboards. 

These capabilities simplify deploying and managing Edge AI workloads enabling enterprises to more quickly realize the business benefits of their Edge AI investments. The recent release of VMware Edge Compute Stack 3.6 delivered additional new features to make it even easier to deploy and manage the edge at scale.

For the latest news and more from VMware Explore, the industry’s essential cloud event, visit the VMware Explore 2024 Las Vegas media kit.

Supporting Quote
“We’re aligned with Broadcom’s Edge AI approach,” said Keith Bradley, vice president, IT and Security, Nature Fresh Farms. “We rely on IoT devices at the edge — in our greenhouses and other facilities — to monitor and capture data used to keep millions of growing plants healthy. The 5G and broadband connectivity capabilities of VMware VeloCloud SD-WAN enable us to connect and tie together all our facilities across Canada and the U.S., while VMware VeloCloud SD-Access provides consistent connectivity, performance, and security capabilities to IoT devices deployed in remote locations. With these solutions, we’ve improved our farm-to-fork time to deliver better tasting, higher quality produce to our customers.”

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NVIDIA today announced NVIDIA NIM Agent Blueprints, a catalog of pretrained, customizable AI workflows that equip millions of enterprise developers with a full suite of software for building and deploying generative AI applications for canonical use cases, such as customer service avatars, retrieval-augmented generation and drug discovery virtual screening.

NIM Agent Blueprints provide a jump-start for developers creating AI applications that use one or more AI agents. They include sample applications built with NVIDIA NeMo, NVIDIA NIM and partner microservices, reference code, customization documentation and a Helm chart for deployment.

Enterprises can modify NIM Agent Blueprints using their business data and run their generative AI applications across accelerated data centers and clouds. With NIM Agent Blueprints, enterprises can continually refine their AI applications based on user feedback, creating a data-driven AI flywheel.

The first NIM Agent Blueprints now available include a digital human workflow for customer service, a generative virtual screening workflow for computer-aided drug discovery and a multimodal PDF data extraction workflow for enterprise retrieval-augmented generation (RAG) that can use vast quantities of business data for more accurate responses. NIM Agent Blueprints are free for developers to experience and download and can be deployed in production with the NVIDIA AI Enterprise software platform.

Global system integrators and technology solutions providers Accenture, Deloitte, SoftServe and World Wide Technology (WWT) are bringing NVIDIA NIM Agent Blueprints to enterprises worldwide. Cisco, Dell Technologies, Hewlett Packard Enterprise and Lenovo are offering full-stack NVIDIA-accelerated infrastructure and solutions to speed NIM Agent Blueprints deployments.

“Generative AI is advancing at lightspeed. Frontier model capabilities are growing exponentially with a continuous stream of new applications,” said Jensen Huang, founder and CEO of NVIDIA. “The enterprise AI wave is here. With the NVIDIA AI Enterprise toolkit — including NeMo, NIM microservices and the latest NIM Agent Blueprints — our expansive partner ecosystem is poised to help enterprises customize open-source models, build bespoke AI applications and deploy them seamlessly across any cloud, on premises or at the edge.”

Digital Human NIM Agent Blueprint Advances Customer Service
Gartner^® reports that 80% of conversational offerings will embed generative AI by 2025, up from 20% in 2024⁽¹⁾. The digital human NIM Agent Blueprint for customer service helps enterprises rapidly prepare for this coming shift, bringing enterprise applications to life with a 3D animated avatar interface.

With approachable, humanlike interactions, customer service applications can provide more engaging user experiences compared to traditional customer service options. Powered by NVIDIA Tokkio technologies, the digital human workflow features NVIDIA software including NVIDIA ACE, NVIDIA Omniverse RTX, NVIDIA Audio2Face and Llama 3.1 NIM microservices, and is designed to integrate with existing enterprise generative AI applications built using RAG.

Multimodal PDF Data Extraction NIM Agent Blueprint Taps Business Data
The multimodal PDF data extraction workflow for enterprise RAG uses NVIDIA NeMo Retriever NIM microservices to unlock insights from massive volumes of enterprise PDF data. With this workflow, developers can create digital humans, AI agents or customer service chatbots that can quickly become experts on any topic captured within their corpus of PDF data.

Using the workflow, enterprises can combine NeMo Retriever NIM microservices with community or custom models to build high-accuracy, multimodal retrieval pipelines that can be deployed wherever enterprise data resides.

Generative Virtual Screening NIM Agent Blueprint Accelerates Drug Discovery
The generative virtual screening NVIDIA NIM Agent Blueprint for drug discovery accelerates the identification and optimization of promising drug-like molecules, significantly reducing time and cost by generating molecules with favorable properties and higher probabilities of success.

Researchers and application developers can quickly customize and deploy AI models for 3D protein structure prediction, small molecule generation and molecular docking. This blueprint incorporates NVIDIA NIM microservices — including AlphaFold2, MolMIM and DiffDock — to accelerate the virtual screening of small molecules using generative models.

In combination with other tools available in NVIDIA BioNeMo, enterprises can easily connect multiple NIM Agent Blueprints to build increasingly sophisticated AI applications and accelerate their drug discovery work.

Additional blueprints will be released monthly for workflows to build generative AI applications for customer experience, content generation, software engineering, and product research and development.

NVIDIA Partner Ecosystem Amplifies Enterprise Generative AI Success
NVIDIA partners are readying to help the world’s enterprises rapidly build and deploy their own generative AI applications using NIM Agent Blueprints.

Global professional services company Accenture will add NVIDIA NIM Agent Blueprints to its Accenture AI Refinery, unveiled last month.

“Across industries, generative AI is acting as a catalyst for companies looking to reinvent with tech, data and AI,” said Julie Sweet, chair and CEO of Accenture. “By integrating NVIDIA’s catalog of workflows into Accenture’s AI Refinery, we can help our clients develop custom AI systems at speed and reimagine how they do business and serve their customers to drive stronger business outcomes and create new value.”

Global consulting firm Deloitte will integrate NVIDIA NIM Agent Blueprints into its deep portfolio of NVIDIA-powered solutions.

“While many organizations are still working to fully harness the potential of GenAI, its implementation is steadily enhancing efficiencies and productivity,” said Jason Girzadas, CEO of Deloitte US. “By embedding NVIDIA’s NIM Agent Blueprints into enterprise solutions that are built on NVIDIA NIM microservices, Deloitte is engaging with our clients to innovate faster, unlock new growth opportunities and define AI-competitive advantage.”

IT consulting and digital services provider SoftServe is integrating NIM Agent Blueprints into its generative AI portfolio to speed enterprise adoption.

“Every enterprise knows generative AI is central to modernizing their operations, but not every enterprise knows where to begin their generative AI journey,” said Harry Propper, CEO of SoftServe. “Adding NVIDIA NIM Agent Blueprints into the SoftServe Gen AI Solutions portfolio gives clients proven frameworks for developing AI applications that put their own data to work.”

A solution provider for the majority of Fortune 100 companies, WWT will assist enterprises in building NIM Agent Blueprints that leverage their business data.

“WWT is committed to helping enterprises harness the power of AI as a catalyst for business transformation,” said Jim Kavanaugh, cofounder and CEO of World Wide Technology. “WWT’s AI Proving Ground, equipped with NVIDIA NIM Agent Blueprints and coupled with our data scientists, consultants and high-performance architecture engineers, offers a comprehensive resource for our clients to experiment with, validate and scale AI solutions.”

Enterprises can develop and deploy NIM Agent Blueprints on NVIDIA AI platforms with compute, networking and software provided by NVIDIA’s global server manufacturing partners.

These include Cisco Nexus HyperFabric AI clusters with NVIDIA, the Dell AI Factory with NVIDIA, NVIDIA AI Computing by HPE and HPE Private Cloud AI, as well as Lenovo Hybrid AI solutions powered by NVIDIA.

“Cisco, together with NVIDIA, created a revolutionary, flexible and simple-to-deploy AI infrastructure with Nexus HyperFabric,” said Chuck Robbins, chair and CEO of Cisco. “Combining Cisco innovation with NVIDIA NIM Agent Blueprints offers customers a simple and secure way to deploy generative AI fast and efficiently, with the adaptability they need to build and customize new applications at scale.”

“Dell Technologies and NVIDIA are making it easy for enterprises to unlock the power of AI-enabled applications and agents,” said Michael Dell, founder and CEO of Dell Technologies. “Incorporating NVIDIA NIM Agent Blueprints into the Dell AI Factory with NVIDIA provides an express lane for the transformative value of AI.”

“HPE and NVIDIA are expanding on our recent blockbuster collaboration to deliver NVIDIA AI Computing by HPE,” said Antonio Neri, president and CEO of Hewlett Packard Enterprise. “By integrating NVIDIA NIM Agent Blueprints into our co-developed turnkey HPE Private Cloud AI solution, we will enable enterprises to focus resources on developing new AI use cases that boost productivity and unlock new revenue streams.”

“Generative AI is a full-stack challenge that requires accelerated infrastructure, specialized software and services, and powerful AI-ready devices that can maximize the capabilities of Hybrid AI,” said Yuanqing Yang, chairman and CEO of Lenovo. “NVIDIA NIM Agent Blueprints, combined with Lenovo’s comprehensive, end-to-end portfolio, give enterprises a head start for building generative AI applications that they can run everywhere on Lenovo Hybrid AI.”

Enterprises can experience NVIDIA NIM Agent Blueprints today.

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Cribl, the Data Engine for IT and Security, today announced it has closed a $319 million oversubscribed Series E round, comprised of a combined primary and secondary transaction, bringing the company’s total capital secured to over $600 million and increasing its valuation to $3.5 billion, up 40% since the company’s Series D round in 2022.

The round was led by new investor GV (Google Ventures), marking one of the firm’s largest-ever investments. The investment was led by GV General Partner and former GitLab CRO Michael McBride, who joined Cribl’s Board of Directors. GIC, CapitalG, IVP, and CRV also participated in the round. This funding comes on the heels of Cribl surpassing $100 million in annual recurring revenue (ARR) in less than four years, becoming the fourth-fastest infrastructure company to reach centaur status in October 2023.

As enterprise data grows at a 28% CAGR, far outpacing IT budget growth, legacy vendors and point solutions make it challenging for customers to keep up with the volume, variety, and value of data. Cribl’s vendor-agnostic solutions empower customers to analyze, collect, process, and route all IT and security data to unlock its value. Since its inception in 2018, Cribl has seen unparalleled growth as enterprises around the world rapidly adopt the Data Engine for IT and Security to transform their data strategies. Cribl’s telemetry data management solutions drive significant value for enterprises, evidenced by:

• ARR Growth: The company’s ARR has grown at a 163% CAGR for the last four years;
• Customer Growth: The customer base has grown by triple digits YoY for five straight years, including a quarter of the Fortune 500 companies that are now Cribl customers;
• NDR: Customers continue to grow and expand with Cribl as the company boasts a net dollar retention (NDR) of over 130% over the past 12 months;
• Multi-product Adoption: Customers purchasing multiple products across the portfolio increased by over 300% over the past 12 months.

“As practitioners who worked in this space for years, my co-founders and I know firsthand the challenges facing IT and Security as data grows exponentially. What worked over the last ten years simply cannot keep up with the needs of businesses today, let alone over the next ten years,” said Clint Sharp, co-founder and CEO of Cribl. “We started Cribl to solve these real problems for real users. Today’s funding proves the value in that approach. It’s an incredible milestone, but only a step in our journey to create a generational company that will continue to evolve to meet our customers’ needs.”

“At Sophos, we’ve found Cribl to be invaluable when it comes to addressing some of our most complex data processing challenges. Cribl not only understands the unique needs of cybersecurity professionals but also empowers them with great flexibility and control over their data. Cribl also enables us to tailor data formats for different destinations, giving us much greater control over storage options and retention periods,” said Stephen O’Leary, Principal Information Security Engineer at Sophos. “This flexibility complements our own products and other tooling, allowing us to efficiently manage an ever-increasing volume of data from disparate sources. More than just a vendor, Cribl has become a key collaborator in our mission to protect Sophos.”

GV’s support of Cribl is significant, marking one of the largest investments in the firm’s 15-year history. The funding will facilitate Cribl’s continued growth by accelerating product development, extending global presence, and strengthening infrastructure to support its rapid expansion.

“Every company must modernize its data stack as legacy systems already can’t handle today’s rapid data growth, and the arrival of AI further accelerates the need for a modern data platform,” said GV General Partner Michael McBride. “Cribl’s rapid growth has come from the consistent and powerful results experienced by its customers. It’s an honor to partner with Cribl’s deeply technical and seasoned team as they define the data platform category, similar to the way Salesforce did for sales and marketing and GitLab did for DevSecOps.”

With more than 700 employees worldwide, Cribl is actively broadening its business footprint, with a presence in the US, Europe, and Australia. The company’s market impact has been recognized by several prestigious industry accolades, including the Forbes Cloud 100 for two consecutive years, the Redpoint InfraRed 100, Notable Capital’s Rising in Cyber, and the Wing Enterprise Tech 30.

Read more about the news on Cribl co-founder and Clint Sharp’s blog.

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Strivacity, a leading provider of customer identity and access management (CIAM) solutions, earned two new certifications, while renewing two existing certifications, as part of its continued effort to ensure data security for clients and consumers.

Strivacity earned PCI DSS, or Payment Card Industry Data Security Standard, and FIDO2 certifications and recertified SOC2, or Service Organization Control Type 2, and Web Content Accessibility Guidelines (WCAG) certifications. These credentials provide third-party recognition of the company’s commitment to safeguarding the data of business clients and their customers.

“Data and identity safety and security are of utmost concern to any online operation,” said Keith Graham, Strivacity co-founder and CEO. “Strivacity is committed to protecting data and adhering to standards while simplifying customer sign-up and sign-in processes.”

The four certifications cover key industry standards, including payment, authentication, and internal controls.

• PCI DSS helps ensure the security of credit card transactions and minimize fraud.
• The FIDO Alliance promotes authentication standards including the use of passkeys to simplify login while reducing phishing and enhancing scalability. FIDO2 provides enhanced security for users accessing their accounts via mobile or desktop.
• SOC2, launched by the American Institute of Certified Public Accountants, helps to ensure organizations have sufficient internal controls in place to manage security and trust.
• WCAG, a Voluntary Product Accessibility Template standard, addresses online accessibility, ensuring that Strivacity solutions are readily usable for all individuals.

“We will continue to push for secure and efficient customer identity and access management solutions, including aligning with evolving safety and security standards,” said Graham. “I’m proud of our team and their efforts to make e-commerce and all other online activity safe and secure for clients and their customers.”

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Mavenir, the cloud-native network infrastructure provider building the future of networks, and Whitestack, an open source-based developer of Telco Cloud solutions, today announce successful completion of a technology alignment that enables Mavenir’s Cloud-Native IMS solution to be seamlessly integrated into Whitestack’s Telco Cloud platform – demonstrating Mavenir’s pivotal expertise in facilitating cloud-native deployments. The collaboration was initiated as part of a deployment with a leading Tier 1 operator in Latin America and harnesses the power and performance capabilities of the Intel Xeon processor and Intel Ethernet technology.

Empowering mobile operators to deploy telco workloads on its cloud solutions is a fundamental aspect of Mavenir’s cloud-native strategy. Today’s announcement marks the achievement of full integration with Whitestack’s Telco Cloud solution – offering telco operators a wider array of flexible options for deploying Mavenir’s solutions – and underscores the continued expansion of the telecom ecosystem aimed at liberating operators from legacy or monolithic solutions

The two companies are capitalizing on industry momentum, following significant announcements from operators adopting cloud infrastructure for critical network functions. This trend is generating substantial interest from traditional operators. To meet this clear demand, Mavenir and Whitestack are offering a compelling performance-to-cost ratio, making the transition to cloud solutions an easy decision.

“We are very pleased to have completed the integration process in a reasonable timeframe, thanks in part to our experience with other Telco Clouds and Whitestack’s flexibility in adjusting their data plane configuration to maximize our performance,” said Brandon Larson, Senior Vice President and General Manager of Mavenir’s Cloud, AI & IMS Business Strategy. He added: “As the industry moves towards cloud infrastructure, cloud solutions must be adapted to be suitable for telco workloads,” says Brandon Larson. “In order to accomplish this, it takes companies like Mavenir that have developed a specialized skillset in both cloud and telco.”

Mavenir’s Cloud-Native IMS solution is based on a microservices architecture comprising Containerized Network Functions (CNFs) that adopt cloud-native principles, offering voice services that leverage the intrinsic benefits of Kubernetes to ensure high availability. This solution operates on Whitestack’s Telco Cloud platform under an automated deployment model.

“One of the many key aspects of a Telco Cloud, compared to a regular private cloud, is the ability to utilize advanced techniques for accelerating network function performance,” said José Miguel Guzmán, Telco/NFV Business Development Manager, Whitestack. “Each application has its own processing, memory, disk, and traffic profile. In WhiteCloud, we have granular control over these aspects, allowing us to provide each VNF or CNF with the optimal hardware settings to maximize their throughput, mixing and matching legacy and new-generation servers.”

“Server configurations based on Intel Xeon processors include new features designed to accelerate user traffic. When combined with the Intel Infrastructure Power Manager software and Intel Ethernet E810 Controller, these configurations allow service providers to drive optimization of their infrastructure for performance, energy efficiency and space in the telco data center,” said Alex Quach, VP Network and Edge Group, Intel.   

Whitestack has emerged as a key player in the open infrastructure space in Latin America, supplying dozens of Tier 1 data centers in the region with a Telco Cloud solution based on open-source technology. Its offering includes whitebox networking, high-capacity optics systems, and COTS servers powered by Intel Xeon processors.

Mavenir, Whitestack and Intel will be participating at the Open Telco Cloud Summit 2024 in Mexico City on September 3^rd 2024 – register to attend in person or virtually.

Intel, the Intel logo, and other Intel marks are trademarks of Intel Corporation or its subsidiaries. 

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“I am ecstatic to announce the launch of FluxAI, a groundbreaking AI application designed to showcase the limitless potential of our latest product FluxEdge. Powered by a decentralized GPU network, it has been meticulously crafted by our global community, resulting in a diverse and scalable infrastructure. After six months of relentless dedication and innovation, we are thrilled to share this cutting-edge technology with the world, and particularly with our passionate Flux community. As FluxAI and FluxEdge continue to thrive and grow, we are confident that this will not only revolutionize the industry but also contribute to the flourishing of the Flux ecosystem.”—Daz Williams, Chief AI Officer, InFlux Technologies.

The launch of FluxAI also introduces a crucial privacy aspect unique to decentralized technologies like InFlux. Unlike conventional AI platforms that exploit users’ data to train and fine-tune their models, FluxAI is 100% private. While conversation histories are preserved for improved interaction and accessibility, user data remains private and is not utilized by the FluxAI model in any way. This is particularly significant for organizations and enterprises dealing with proprietary or sensitive data, as it ensures the utmost privacy and security preventing their data from appearing in future versions.

FluxAI is powered by state-of-the-art, open-source LLMs (large language models), supporting the latest advancements in artificial intelligence. This advanced technology ensures that FluxAI is at the forefront of AI innovation. Furthermore, API integration for the application will be available towards the end of the year, catering to diverse development needs and further expanding the frontiers of AI applications.

The release highlights the multi-faceted offerings of the InFlux ecosystem and showcases the stellar computational capabilities of FluxEdge to power AI applications for businesses and enterprises.

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