data security 13 Nov 2023
Qumulo, the simple way to manage exabyte-scale data anywhere, today unveiled the next version of its Scale Anywhere™ Platform, which empowers enterprises to overcome the challenges posed by unstructured data, providing a unified and scalable solution that drives efficiency, security, and business agility.
Qumulo is the simple way to manage exabyte-scale data anywhere — edge, core, or cloud — on the platform of your choice. In a world with trillions of files and objects comprising 100+ zettabytes worldwide, companies need a solution that combines the ability to work anywhere with simplicity.
"Unstructured data is everywhere in the enterprise and growing at an unprecedented rate, a reality that traditional storage solutions have constantly grappled with," says Bill Richter, CEO of Qumulo. "Qumulo finally fixes this with a software platform built for hybrid IT that scales to exabytes anywhere unstructured data is generated, stored, consumed, or managed."
The new platform is comprised of four major components and introduces a revolutionary new way to consume on-premises storage in the same way cloud storage is consumed.
The platform begins with Azure Native Qumulo (ANQ), the first cloud-native enterprise file system with unlimited exabyte scale, unmatched economics, and performance elasticity. Jointly developed with Microsoft, ANQ eliminates the trade-offs customers face between scale, economics, performance, and features for file services in the public cloud. ANQ’s scalable file service delivers:
Qumulo’s Scale Anywhere™ further includes Global Namespace (Q-GNS), a unified data plane for an organization's entire unstructured data, from edge to core and cloud. Q-GNS allows enterprises to access remote data as if it were local for all their workflows, from the most performance-sensitive applications to active archives. Q-GNS delivers Qumulo’s rich set of data services (multi-protocol access, enterprise security integrations, snapshots, quotas, replications, etc.) across geographically distributed systems—edge, core, or cloud.
“We are rapidly adopting cloud to store our long-term radiology images, while keeping new images on-premises,” says JD Whitlock, CIO of Dayton Children’s Hospital. “Qumulo’s Global Namespace makes it easy to bring our file-based workloads to the cloud without refactoring any applications.”
Qumulo allows customers to run Qumulo on commodity hardware or public cloud of their choice.
Nexus, Qumulo’s unified control plane, rounds out Qumulo’s next-generation Scale Anywhere™ platform. And Qumulo One provides an enterprise-level licensing program to use with any of Qumulo’s products.
Customers can now manage a globally distributed hybrid infrastructure and link distributed teams, all enabled by a single, secure enterprise platform.
artificial intelligence 13 Nov 2023
DataRobot, the leader in Value-Driven AI, today announced new end-to-end functionality designed to close the generative AI confidence gap, accelerating AI solutions from prototype to production and driving real-world value. Enhancements to the DataRobot AI Platform empower organizations to operate with correctness and control, govern with full transparency, and build with speed and optionality. “The demands around generative AI are broad, complex and evolving in real-time,” said Venky Veeraraghavan, Chief Product Officer, DataRobot. “With over 500 of our customers deploying and managing AI in production, we understand what it takes to build, govern, and operate your AI safely and at scale. With this latest launch, we've designed a suite of production-ready capabilities to address the challenges unique to generative AI and instill the confidence required to bring transformative solutions into practice.” New functionality announced today brings enterprise-grade governance and observability for both generative and predictive AI in the DataRobot AI Platform: - 360° Observability Console: New full-360° view observability for DataRobot and third-party models across cloud providers, on-premises, or at the edge. The console acts as a command and control center with comprehensive insights into the performance, behavior, and health of AI systems and models, allowing for immediate detection of issues or anomalies. - LLM Cost and Performance Monitoring: Out-of-the-box monitoring to observe and manage your generative AI solutions and costs in real-time with customizable metrics designed for both high performance and on-target budgets. Now you can see cost per prediction and total spend by generative AI solution, set your own alerts to avoid exceeding thresholds, and make cost-performance tradeoff decisions. - Generative AI Guard Models: Assess critical attributes like toxicity, sentiment, PII leaks, prompt injection, and correctness for generative AI models in production, as well as capture user feedback on the quality of generated responses to improve models over time. - Unified AI Registry: A single system of record to govern all of your generative and predictive AI assets, including models from different systems. The new centralized Registry helps you track what matters while unifying disparate projects, processes, and multi-cloud environments for seamless cross-team visibility and collaboration across your organization. - Multi-Provider LLM Playground: First-of-its-kind visual interface with built-in access to GCP Vertex AI, Azure OpenAI and AWS BedRock to easily compare and experiment different recipes with any combination of foundation model, vector databases, and prompting strategies. - Generative AI Accelerators: New accelerators designed to quickly accomplish common tasks for accelerating generative AI deployment, such as building and hosting a Retrieval Augmented Generation (RAG) application, adding custom metrics, monitoring external models, and integrating with business applications like Slack and Microsoft Teams. “DataRobot has been instrumental as we work through our generative and predictive AI use cases,” said Fred De Letter, Senior Director of Business Insights and Analytics, Keller Williams. “With DataRobot’s LLM operations (LLMOps) capabilities and out-of-the-box LLM performance monitoring, we're equipped to implement cutting-edge generative AI techniques into our business while monitoring for toxicity, truthfulness and cost.” “AI is set to shape our future in many different ways, and it has enormous potential to be a powerful force for good,” said Craig Civil, Director of Data Science and Artificial Intelligence, The British Standards Institution (BSI). “In BSI’s research, we have seen evidence of a confidence gap, with people lacking understanding and trust in AI. Ensuring confidence in AI systems is key to society realizing AI’s transformational benefits, which is why we’ve partnered with DataRobot for our generative AI journey.” “DataRobot has long been recognized for simplifying the complexities presented by AI and data science. Our research shows that organizations need flexibility to use their preferred LLMs and infrastructure through an open, tightly-integrated ecosystem,” said Mike Leone Principal Analyst at Enterprise Strategy Group. “By bringing together predictive and generative AI in a single end-to-end AI lifecycle platform with governance and cost transparency, DataRobot is delivering real value to its customers as they look to scale AI projects.”Large language model cost and performance monitoring, observability console, multi-provider comparison playground and other enhancements unveiled to deliver greater transparency and governance
digital marketing 13 Nov 2023
Wunderkind, the leading cross-channel performance marketing and advertising software, today announced a holistic ad monetization and audience development offering to help publishers maximize the value of their visitors with a unified user experience. The Publisher Growth Suite has been in private beta with select publisher partners including CNN and AP News.
The full-stack technology infrastructure bridges the gap between MarTech and AdTech, providing publishers with the tools they need to identify their audience and extract the optimal value in the form of email submissions, subscriptions, programmatic addressability and high-yielding ad placements. Rather than advertising and marketing strategies operating in silos, often competing for reader attention, the solution enables publishers to meet their audience where they are in their lifecycle, with relevant content.
Additionally, Wunderkind's Publisher Growth Suite now offers a unique self-sustaining financial model — whereby publishers activate WunderKIND Ads to generate a new and meaningful revenue stream that can absorb platform costs.
The Publisher Growth Suite includes:
"With the deprecation of the cookie on the horizon, and the future of addressability and monetization dependent upon user opt-in, we see offerings like Wunderkind's Publisher Growth Suite, which allows publishers to easily deploy cookie-proof technologies, such as UID2, as a necessary tool for forward-thinking publishers," said Samantha Jacobson, Chief Strategy Officer at The Trade Desk.
Among the early beta customers is Trusted Media Brands (TMB), which includes properties like Reader's Digest, Taste of Home, and Family Handyman. Since the integration, TMB has seen year-over-year increases in magazine subscriptions (6%), and newsletter signups (46%), all while increasing ad impressions served (84%).
"Wunderkind has been instrumental in helping us hit our audience development goals," said Emily Christner, Chief Product Officer at Trusted Media Brands. "The best part? This new model allows us to scale that growth and drive additional ad revenue at no cost to us! It's a win-win."
"Publishers are the lifeblood of the digital ecosystem, and with the future of monetization being hinged upon user opt-in, we wanted to build a tech stack that can power stability and future growth for the industry," said Jesse Brewer, VP of Sales and Operations at Wunderkind. "This takes into account all stages of the reader journey, from low intent to high intent, with a complex decisioning engine to ensure a win-win-win for publishers, advertisers, and consumers."
digital experience 13 Nov 2023
One year after launching its first generative AI features, Picsart has rolled out an entire suite of fun and easy-to-use AI tools for businesses and individuals.
Picsart, the world’s leading digital creation platform, today announced the launch of its new suite of groundbreaking AI tools, Picsart Ignite. Designed to empower creators of all levels to build their businesses and personal brands, the suite includes more than 20 tools to allow the seamless creation of ads, social posts, logos and more.
With the rise of digital content creation, Picsart recognizes the growing need for accessible and intuitive tools that allow anyone to express their creativity in unique and personalized ways. This suite serves as a catalyst for imagination, enabling users to effortlessly transform their ideas into vibrant visual content for their brands, selves or businesses.
"At Picsart, we believe that everyone is a creator. Our editing experience reflects this philosophy by providing users with powerful, yet fun and easy-to-use tools to express their unique visions," said Hovhannes Avoyan, Founder and CEO of Picsart. "We developed these features to ignite creativity and enable users to turn their ideas into stunning visual content – whether they’re posting ads for their business, memes for their friends, or anything in between.”
Picsart Ignite features innovative tools for both image and video including: AI Expand, AI Object Remove in Video, as well as generation tools for videos, images, GIFs, logos, backgrounds, QR codes, stickers and more. Picsart has also recently rolled out improvements to its previously launched AI Writer, AI Replace and AI Image Generator, which is used to generate more than 2 million images per day.
Picsart Ignite is now available to all users across Picsart’s web platform, iOS and Android. By incorporating these advanced features into their creative workflow, creators of all levels can unlock new realms of artistic expression and take their content to the next level.
artificial intelligence 13 Nov 2023
Shutterstock, Inc., a leading global creative platform connecting brands and businesses to quality content, today announced TRUST, an official guiding framework that embodies Shutterstock's long-standing values and commitment to using AI responsibly in its products and workflows. TRUST, an acronym for Training, Royalties, Uplift, Safeguards and Transparency, reflects the core commitments that Shutterstock has actively upheld over the last two decades. In an unregulated and rapidly evolving industry, this framework can also serve as an action-driven checklist for companies experimenting with AI technologies and reiterates Shutterstock's lifelong, contributor-centric operating principles.
TRUST's commitments include:
Training on properly licensed data
Royalties that compensate artists fairly
Uplift and promote representation that reflects the world
Safeguards to control content and protect customers
Transparency by default
"Maintaining the trust of our contributors and customers is at our core, and our TRUST framework affirms the actions we take to support this commitment," said Dr. Alessandra Sala, Senior Director of AI and Data Science at Shutterstock. "We've always trained on properly licensed data, sought out new revenue streams for our contributors and uplifted creators and underrepresented groups. TRUST formalizes these principles in a clear, straightforward approach that others in the industry can follow as they embark on their own responsible AI journeys."
Training
Respecting the IP rights of artists is central to Shutterstock's business as a world leader in content licensing. This includes ensuring that our AI models are trained only on properly licensed content and requiring our AI partners to uphold the same standard. Shutterstock takes careful steps to ensure it has the rights to license the content on its platform, and that the content complies with our content standards.
Further, contributors are empowered with the option to opt out of data deals to respect their autonomy and preferences, however, to date only about 1 percent of contributors to the Shutterstock platform have chosen to do so.
Royalties
Shutterstock's Contributor Fund is a testament to our commitment to supporting artists through compensation. To date, the Shutterstock Contributor Fund has compensated hundreds of thousands of artists, with anticipated payments to millions more, for the role their content IP has played in training our generative technology.
Uplift
Our mission has always been to elevate inclusive content and invest in supporting and partnering with underrepresented content creators to achieve the broadest spectrum of representation. Shutterstock's teams strive to improve representation of different genders, ethnicities, and orientations, as well as to ensure a fair creative platform through initiatives like the Create Fund and partnerships with UN AI for Good and World Ethical Data Foundation. This also includes enhancing and expanding the usage of human-created stock content, ensuring our AI features empower advanced use of such content to support—not replace—the unique talent of artists.
Safeguards
Shutterstock pioneered advanced indemnity protections for a worry-free experience for its customers and their audiences, ensuring an ethical approach, legal integrity and brand safety through tailored protections and content controls.
Shutterstock's multi-layered content controls help to prevent the creation of content that displays adult themes, offensive themes or violence. These safeguards also include protection against AI training liability on all licenses of AI-generated content. Shutterstock Enterprise users can also receive the same protections for AI-generated content as traditional stock assets, while special cases receive an additional asset assurance.
In a survey conducted with Shutterstock Enterprise customers, more than 60 percent of respondents said that the most important criteria for them when choosing an AI platform is the guarantee of safe commercial use. Shutterstock is the only company to offer Enterprise users the option for a human review of their licensed content for indemnification.
Transparency
Shutterstock believes in transparent AI practices and content provenance. It commits to a clear distinction between AI-generated and human-created content on the Shutterstock platform to help safeguard against deepfakes, disinformation and other forms of misuse. Shutterstock does not sell AI-generated content with unknown or unclear provenance and contributors cannot upload AI-generated content to Shutterstock's core library. Through support of and membership in the Content Authenticity Initiative, the company is also labeling all AI-generated content and metadata according to C2PA/IPTC industry standards to further protect its users with verifiable and tamper-evident information across all forms of content ensuring each asset is certified with secure metadata about its creation, authorship and edit history.
Shutterstock's ethical approach to AI has made the company a highly sought-after partner and collaborator with industry leaders such as NVIDIA, Meta, OpenAI, LG and others to develop foundational generative AI tools and standards for creators across 3D, images and text. Shutterstock's high-quality content library, enriched with vast metadata, leads the industry in size, diversity and annotation—making it unrivaled for training AI capabilities.
automation 13 Nov 2023
Rewst, a purpose-built Automation Platform for Managed Service Providers (MSPs), today unveiled App Platform, a low-code application builder for designing apps enabling end users to interact with Rewst-generated workflows, forms, and data. An extension of Rewst's Automation Platform, App Platform drives additional efficiency, consistency, and visibility gains, and helps MSPs differentiate themselves through engaging front-end experiences.
MSPs rely on hundreds of processes to deliver services and support customers. Each is a mix of disparate tools and data, requiring manual effort that drains productivity, erodes margins, and can impact customer satisfaction. Rewst's Automation Platform connects an MSP's existing tools and allows users to visually design workflows and forms that automate end-to-end processes. While forms can be linked to workflows to trigger automations, there are additional scenarios where employees and customers need to interact directly with workflows, forms, and data to accomplish specific tasks.
Build front-end experiences for interacting with Rewst workflows and forms
App Platform is the first low-code environment designed for MSPs to extend workflow automations with an MSP-branded front-end. Users can design app screens or pages by dragging and dropping UI components, such as text blocks, images, buttons, data tables, grid containers, forms, workflow inputs, and more. They can also theme their apps with the MSP's logo, color palette, and typography, and host them on custom subdomains to provide a fully white-labeled experience.
With App Platform, MSPs can build a variety of internal and customer-facing apps, such as cross-platform analytics, customer self-service, on-call schedule management, client onboarding, and more. These apps can uniquely interact with Rewst-generated workflows, forms, and data. Examples include:
"Rewst's Automation Platform is the de-facto standard for MSPs to automate processes across their tools," said Aharon Chernin, CEO and founder of Rewst. "But right now, it works behind the scenes. Any visible output of an automation goes to another product, like your PSA or chat system. App Platform changes that. We made a system that lets you drag and drop web page elements and create an entire site or 'app,' where the MSP and clients can log in, and interact with your automations. Theoretically, you could build out any use case you can imagine with App Platform. It's moving client-MSP interactions into line with the simplicity of using an app, which is more and more what users expect from their service providers. In the future, it will be the MSPs with the best apps that win."
Additional features of App Platform include:
Availability of App Platform
Rewst will release an alpha version of App Platform to select customers before year-end. A beta release will roll out to all customers in early 2024.
artificial intelligence 13 Nov 2023
Mnemonic AI, a pioneering customer intelligence startup, proudly announces the launch of its groundbreaking innovation, the "Digital Twin of the Customer," a pioneering solution poised to transform the landscape of customer experience and engagement.
"At Mnemonic AI, we work hard every day to push the boundaries of how businesses can leverage advanced customer analytics for improving services and meeting the actual needs of their audience," said Phil Wennker, CTO of Mnemonic AI. "The Digital Twin of the Customer " is the missing puzzle piece for organizations, allowing for real-time customer feedback, insights, personality, and behavior.
The idea of a digital twin dates back to NASA's Apollo missions. A clone of a physical object that behaves exactly like the original, allowing for rapid prototyping, predictions, and analyses. The Digital Twin of the customer is an AI that impersonates customers with their personalities, values, and needs - allowing organizations to ask direct questions, bounce ideas off the digital twin, and hone their messaging, speeding up marketing and product development by the factor 12.
cloud technology 13 Nov 2023
Leader in Secure Cloud Networking Attributes Rapid Revenue Growth to Customer Traction and Product Innovation
Aviatrix, a leader in Secure Cloud Networking, today announced it was named to the Deloitte Technology Fast 500™, a ranking of the fastest-growing technology, media, telecommunications, life sciences, fintech, and energy tech companies in North America. Making this list for the second consecutive year, Aviatrix attributes its growth to a strong and increasing demand for its innovative solutions, which enterprises trust to simplify cloud and multicloud networking, improve security, and reduce costs.
Founded in 2014, Aviatrix is one of the early pioneers in secure cloud networking, serving hundreds of companies worldwide. This year, it introduced the groundbreaking Aviatrix Distributed Cloud Firewall, which redefines network security for cloud by distributing inspection and enforcement – enhancing security with a 14X increase in aggregate throughput, ensuring scalability and agility, and reducing customer costs by over 30% compared to a centralized architecture. In June, Aviatrix named industry veteran Doug Merritt – known for taking Splunk from hundreds of millions to billions of dollars in revenue – as its new Chief Executive Officer (CEO).
"Since joining Aviatrix, I've seen the passion our customers have for securing their organization's cloud infrastructure. Together with our customers, we are addressing an urgent need for cloud networking and security teams to accelerate their cloud transformations," said Merritt. "Aviatrix is committed to safeguarding our customers as they build a more connected world."
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