Live/Beyond 2022 Live Analytics And Cloud News Product Updates And Uncovering The Data Driven Power Shift


In this regular column, we’ll bring yous all the latest industry news centered around our main topics of focus: large data, data science, machine learning, AI, and deep learning. Our manufacture is constantly accelerating with new products and services being announced everyday. Fortunately, we’re in close bear on with vendors from this vast ecosystem, so nosotros’re in a unique position to inform y’all near all that’southward new and exciting. Our massive manufacture database is growing all the fourth dimension so stay tuned for the latest news items describing technology that may make yous and your organisation more competitive.

MOSTLY AI Becomes First Synthetic Data Provider to Achieve ISO Certification

By and large AI, which pioneered the creation of AI-generated synthetic data, appear that it has simply been awarded ISO 27001:2013 certification. The ISO 27001 standard is a globally recognized data security standard. With data privacy and information security at the middle of everything By and large AI does, the company makes compliance with security standards and regulations a high priority, with a dedicated privacy and security team. In March 2021, the company received its SOC 2 Type 2 certification, which is an audit report capturing how a company safeguards customer data and how well internal controls are operating.


“We are very proud to have received our ISO 27001:2013 certification,” said Melanie Hartl, Primary Information Security Officer at MOSTLY AI. “Since we work with many global Fortune 100 enterprises, similar banks and insurance companies, who handle highly sensitive data, it is imperative that they can trust in our ability to continue information secure.”

Yugabyte Meets Developer Demand for Comprehensive PostgreSQL Compatibility with YugabyteDB ii.11

Yugabyte, a leading open source distributed SQL database company, announced the general availability of YugabyteDB 2.eleven, with updates that extend PostgreSQL compatibility in the open up source database. These updates allow application developers to use powerful and familiar PostgreSQL features without compromising resilience, scale, or performance. This release extends YugabyteDB’s lead equally the most PostgreSQL-compatible distributed SQL database in the world.

“The biggest roadblock to database adoption is familiarity. For developers, PostgreSQL is the most familiar database. Being able to work within a similar framework is critical for productivity. What other distributed SQL databases get wrong is they red pick features, either providing good compatibility without truthful distributed SQL, or the reverse,” said Karthik Ranganathan, co-founder and CTO, Yugabyte. “Nosotros’ve heard loud and articulate from our community that true distributed SQL with complete PostgreSQL compatibility is the gold standard. That is what nosotros are delivering.”

CAST AI™ Introduces ‘Instant Rebalancing,’ Advancing its Cloud Management Platform

CAST AI™, the AI-driven cloud optimization company specializing in price optimization for customers running cloud-native applications, introduced Instant Rebalancing, a characteristic that immediately and automatically reduces cloud compute costs between 50 and 75 percent. Congenital upon Bandage AI’s cut edge artificial intelligence engineering science, Instant Rebalancing enables customers to clarify their cluster configuration and – at the click of a button – rightsize information technology to the most toll-efficient compute resources bachelor. With instant Rebalancing, customers automatically optimize a cluster from its current state to the most optimal configuration by seamlessly modifying compute resources in real time, based on real-time inventory availability and pricing. Customers typically realize savings within five minutes.

“A substantial office of deject cost optimization is rightsizing, or using the all-time available resource  to optimize your deployments,” said Laurent Gil, Primary Product Officer at Bandage AI. “We’ve developed avant-garde algorithms  that make rightsizing instant, and equally easy every bit clicking a button. Customers can and so integrate instant rebalancing into cluster onboarding or continuous optimization through Infrastructure equally Code (IaC). Our platform provides customers  with significant cost savings by enabling them to quickly and easily become optimized and stay optimized, ensuring a truly frictionless experience.”

Carmine Hat Bolsters Partner Ecosystem to Accelerate Information Scientific discipline Pipelines Across the Open Hybrid Cloud

Red Hat, Inc., a leading provider of open source solutions, announced the availability of Red Hat OpenShift Data Science every bit a field trial, also as an expanded partner ecosystem focused on this new deject service offer. Every bit leading bogus intelligence and motorcar-learning (AI/ML) partners support the service, Red Hat customers are provided with a range of solutions optimized for Red Lid OpenShift, letting them select the technologies to best meet their specific machine learning needs beyond the open hybrid deject and edge computing environments.

“Data science and machine learning are helping drive innovation and business value in near every industry,” commented
Mike Piech, vice president and general managing director, Cloud Data Services, Scarlet Hat. “For many companies the biggest barrier to adoption is the complexity of wiring together the necessary information sources with diverse model training and model deployment technologies. With Red Chapeau OpenShift Information Science, Red Lid’s contributions to Open Data Hub, and our extensive partner ecosystem, we’re helping organizations overcome such complexity to brainstorm harnessing the total potential of machine learning from the leader in trusted open source engineering science.”

Druva Unveils Data Resiliency Deject

Druva Inc. unveiled the Druva Data Resiliency Cloud. Delivering an at-scale SaaS solution for information resiliency, Druva enables enterprises to radically simplify information protection, streamline data governance, and gain data visibility as they accelerate cloud adoption. Leveraging a cloud-native, centralized, and automated approach to data protection and disaster recovery, the Druva Data Resiliency Cloud is designed to help enterprises manage data that has become increasingly fragmented beyond multi-cloud environments.

“Enterprises are working to stay ahead of three major trends: the accelerating rate of cloud migrations, the massive growth of data, and the concerning levels of malicious attacks,” said Jaspreet Singh, founder and CEO, Druva. “When data is resilient, a business can become back to business, and nosotros are on a mission to make information resilient, secure, accessible, and actionable for organizations effectually the earth. The Druva Data Resiliency Deject is the culmination of years of unparalleled industry feel building a completely cloud-native platform, which nosotros believe is the end-game of data resiliency. Leveraging the core innovations and benefits of the public cloud, we are bringing customers and partners a truly unmatched feel.”

Prevision.io Launches First Pay-As-You-Go AI Management Platform to Make AI Accessible to All Companies

Prevision.io has launched an AI Management Platform on Google Cloud, enabling companies that have a limited amount of resources and infrastructure power to now back up robust AI projects. The characteristic-rich platform democratizes AI through the removal of complicated licensing fees that can run companies into the hundreds of thousands—fifty-fifty millions—each yr. This empowers teams to deliver projects faster through an intuitive interface that allows users to create, deploy, monitor, and retrain models in a few clicks. By managing the complexities throughout the AI lifecycle and offering revolutionary pay-every bit-yous-go pricing, Prevision.io is breaking down the barriers that impede organizations from building a robust, high-impact AI practice.

“We started Prevision.io with the goal of improving the lives of people who piece of work with data twenty-four hours in and day out,” said Tuncay Isik, the founder, and CEO of Prevision.io. “Our manufacture-first AI direction platform removes product inhibitors while still scaling the value, domain expertise, and impact users can have at their organizations. By putting our platform in the hands of users via the relationship with Google, it volition shine a whole new light on the mode predictive analytics tin can—and should—be done.”

Entropik Tech Announces Beta Launch of its Disruptive Conversational Intelligence Platform, Decode

Entropik Tech, a leader in Emotion AI, announced the beta launch of its new conversational intelligence platform, Decode, which comes fix to be integrated with the existing conferencing and collaboration ecosystem. Information technology seamlessly gathers conversation data and creates a layer of intelligence on pinnacle to turn conversations into actionable insights that will increment the efficiency and productivity of organizations.

“Nosotros are excited to announce the beta launch of our latest innovation, Decode,” commented Ranjan Kumar, Founder, and CEO, Entropik Tech. “Being a chat intelligence platform, information technology offers companies a hazard to unlock the unlimited potential of all conversations. The product is self-serve, like shooting fish in a barrel-to-use and enables users to collate all their conversations in i place, regardless of the video conferencing tools they utilise. With the availability of Emotion AI capabilities, we believe that it signals a new era in video conversations. We look forrard to announcing the General Availability of Decode in the adjacent two months”.

Introducing TheLoops ane.0 – an Intelligent Support Operations Platform

TheLoops, an intelligent support operations platform, announced the release of version 1.0 of its enterprise-grade platform. TheLoops transforms the support experience, enabling agents to make decisions faster and deliver modern support with real-time admission to operational customer product feature data within tools such as Salesforce, Zendesk, Intercom and Jira. TheLoops contextualizes data for businesses, delivering digital customer transformation. By learning from collaborations across back up, customer success and engineering, it revolutionizes the support experience by providing insights from wide information sets and recommendations embedded in intelligent procedure flows – upskilling representatives to brand them preventative and growth oriented. In consequence, TheLoops bridges the gap between support and engineering science. In improver, existent-fourth dimension insights drawn from people, process, and tooling interactions too assistance support managers to be more constructive in monitoring the state of their service operations.

“Nosotros live in a world where more digital businesses recognize that leveraging automation and analytics to back up human-centric engagement will amend the quality of customer relationships and drive empathetic loyalty,” said Somya Kapoor, CEO of TheLoops. “Many companies take digitized their data, just non their customer experience. This is where TheLoops steps in. By having an active approach to customer support, nosotros enable our clients to scale their businesses while reducing operational costs. TheLoops transforms back up from existence a cost center to a growth driver.”

Narrative Launches Buyer Studio, a No-Code App That Makes Ownership Data Fast, Easy, and Price-Effective

To help give organizations control of the data conquering process while saving time and money,
Narrative, the Information Commerce Platform, announced the launch of Buyer Studio. The new software offering enables organizations to find and access the precise data they demand while automating the most time- and labor-intensive aspects of buying data. Traditionally, buying information is a cumbersome, manual, and highly inefficient multi-pace procedure, involving various internal teams working over numerous months to find and evaluate suppliers, negotiate terms, run ETL, normalize schemas, integrate with other systems, and then on. Now, with Heir-apparent Studio, organizations can but find the precise data they need, place an social club, and have it delivered directly to the systems they want, all with just a few clicks.

“Traditionally when you buy from a data broker, you have no say in the data you receive—yous go what they offer y’all, and that’s it,” said Nick Hashemite kingdom of jordan, founder and CEO of Narrative. “You are also most likely getting and paying for duplicate data. Narrative Buyer Studio is a synthesizer that provides all of the data that businesses desire and demand and makes information technology accessible via like shooting fish in a barrel-to-utilize, understandable, and affordable options. With Heir-apparent Studio, buyers no longer need to take data from a firehose and waste money paying for duplicate and useless data. Buyers have the flexibility of buying data from one or many providers, transparency into how and when the data was nerveless, and the confidence of knowing that the information they buy is exactly what they want. With Buyer Studio they can customize, filter, and control the information they demand with no duplicates and set their price.”

Nasdaq Releases Information Fabric, New Managed Data API Service Bachelor from Nasdaq Data Link

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Nasdaq announced the launch of Data Textile, a managed data solution to help investment management firms scale their information infrastructure with enhanced quality, governance and integrity. Built off Nasdaq Information Link, Data Textile enables firms to significantly improve data time-to-value and tin power investment processes and strategies with new datasets in a affair of days or weeks instead of months. The platform provides secure, end-to-end data hosting through fully managed infrastructure and data onboarding services, enabling firms to integrate internal and external data sets quickly to focus on their competitive edge.

“For many financial institutions, it is extremely expensive and time-consuming to build out a full data stack and develop reliable internal infrastructure,” said Bill Dague, Head of Alternative Data and Nasdaq Data Link. “Nosotros developed Data Textile to empower firms to leapfrog that unabridged process. Financial services firms are already grappling with attracting and retaining the best technology and data science talent and Data Fabric ensures that those individuals tin spend their time developing meaningful insights from data – not overseeing the infrastructure that should already exist.”

Treasure Data Unveils Terminate-to-End Governance, Security and Privacy Foundation

Treasure Information™, a leading enterprise customer information platform (CDP), introduced the Treasure Data Trusted Foundation. The suite of features enables marketers to manage all data privacy and consent preferences related to individuals in the unified customer information tape with information access permissions and controls – all within one smart platform. With Treasure Data’s best-in-class privacy, consent direction, compliance and security controls, teams tin can quickly leverage trusted customer data to deliver both personal and ethical customer experiences. Marketers go amend equipped to navigate an increasingly complex privacy landscape while benefiting from admission to avant-garde audience sectionalisation, personalization and activation.

“Just as marketers empathize the need for i-to-one personalization, they must also recognize the need for one-to-ane privacy,” said Tamar Shor, vice president of product strategy at Treasure Data. “Make reputation now relies on customer data stewardship counterbalanced with personalization beyond every touchpoint. Treasure Data’s Trusted Foundation empowers marketers to deliver on this promise with campaigns that pair personalization with privacy, farther building trust and respecting privacy while maximizing efficiencies.”

ChaosSearch Data Lake Platform is Showtime to Unlock JSON Files for Analytics at Scale

ChaosSearch announced JSON Flex™, a powerful new adequacy that delivers a first-of-its-kind, scalable, cloud-native solution for analyzing JavaScript Object Annotation (JSON) log files. The ChaosSearch Data Lake Platform can now help information engineers reduce the price, complexity and time associated with accessing and analyzing circuitous nested JSON files. The JSON file format has become a standard for logging, and information technology’southward common for information engineers to have heavily nested JSON within custom logs similar CloudTrail and Sidecar. Even so, the JSON format requires significant preparation and transformation to present it for analysis – and the flattening of JSON tin result in exploding data book growth. These issues often prohibit companies from making JSON files available for on-demand analytics. Data engineers have express options: they can either exclude and/or transform JSON via complicated data pipelines where such pipelines need to be revisited if requirements change; or at worst, fully expand all the JSON permutations upfront with the drawback of data explosion. These options create challenges for the business analysts who want admission to all of the information and the ability to experiment with various searches equally part of their analysis.

“Until the introduction of JSON Flex, there hasn’t been a scalable analytics solution for complex, nested JSON files,” said Thomas Hazel, CTO, Founder and Chief Scientist, ChaosSearch. “Organizations have been forced to rely on static, express views of their data that ultimately pb to less valuable insights. We’re unlocking that information and democratizing it for the masses by delivering a platform that tin automatically index and present all the data at once — making information technology easier to search, understand and leverage for business insights.”

Panzura Rolls Out 2d-Gen Panzura Information Services With Complementary and Paid Tiers, Simplified Value-based Pricing

Panzura has released the second generation of Panzura Data Services to provide all Panzura customers with observability and visibility over their data, and more agile consumption-based pricing that flexibly supports them and scales as they grow. Panzura Data Services is a powerful SaaS data direction solution that offers a unmarried, unified view and management of enterprise information, whether it is stored in the cloud, on premises in a information middle, or at the border. Information technology also offers search and inspect capabilities that allow users to see and discover files beyond their unabridged data storage footprint. Panzura Data Services is now available in two tiers. Complementary Bones service is now offered to all users of Panzura CloudFS, and new paid Licensed tiers are fee-based according to the number of concurrent users.

“The second generation of Panzura Data Services  allows organizations to manage their unstructured information differently than the exclusively capacity-based paradigm of the past,” said Panzura’s chief innovation officer, Edward K.50. Peters, Ph.D.  “Now, they can go beyond an exclusively storage-based arroyo and separately license access for value-added functions such every bit enhanced audit and search capabilities. This allows them to easily access the value embedded in their information and provides for enhanced decision making.”

Alpine Intuition launches “iSquare for Pharma” – a version of its AI hosting platform optimized for companies in the pharmaceutical industry

AI-equally-a-Service visitor Alpine Intuition launched “iSquare for Pharma”, the first release of its flagship platform for completely automated AI hosting, tailored to the needs of companies in the pharmaceutical sector. Co-ordinate to industry research*, one in ii organizations take adopted or programme to adopt AI in at least one business organisation office, resulting in global enterprise spend on AI-related solutions breaking the $500 billion marking by 2024. However, information technology remains difficult for most companies to employ the technology. Ane of the biggest pain points is deployment, with the majority of companies spending up to 12 months to deploy AI models into production, which comes with increased overhead and computing costs. To address this pain indicate, Alpine Intuition has launched iSquare, an automated hosting platform, to allow firms to easily and cost effectively deploy AI models, opening up the applied science without the demand for AI specialists or DevOps skills.

“Deploying AI applied science is fundamental for any firm to build and sustain competitive reward in our digital age,” said Sebastian Savidan, Co-founder and CEO of Alpine Intuition. “With iSquare, nosotros are not but levelling the playing field by allowing any company to deploy AI but also bringing advanced features to marketplace, such as existent-time inference which allows predictions to exist made at any time with an immediate response, equally needed for example with streaming data. We are very excited to be putting this applied science into the hands of so many businesses, starting in the pharmaceutical sector.”

Open Source Immutable Database Adds Cluster Support Capable of Billions of Transactions and Potentially Unlimited Cloud Storage

The starting time and merely open up source enterprise-grade database with information immutability at scale, immudb, tin can now be deployed in cluster configurations for enervating applications that crave high scalability — up to billions of transactions per day — and high availability. Codenotary’s immudb ane.1 update likewise enables databases to use Amazon’s S3 storage cloud so they will never run out of disk space.

“With this update, we’re addressing the most requested capability to scale to any level of data shop,” said Jerónimo Irázabal, lead architect at Codenotary – the company behind the immudb project. “Banking applications are one example that require ultra-secure and tamperproof transaction ledgers while at the same time retaining loftier scalability.”

Habana Labs Announces Turnkey AI Training Solution Featuring Habana Gaudi Platform and DDN AI400X2 Storage Organization

Habana Labs, an Intel Company and leading developer of AI processors, announced the availability of a turnkey, enterprise-grade AI preparation solution featuring the Supermicro X12 Gaudi AI Preparation Server with the DDN AI400X2 Storage system. This organisation is the production of the collaboration of Habana Labs and Supermicro with DDN, a leader in AI data management and storage. With eight Habana Gaudi purpose-built AI processors, the Supermicro X12 Gaudi AI Server provides customers with highly price-efficient AI preparation, ease of use and organisation scalability. Integration of the Gaudi platform with the DDN AI400X2 appliance eliminates storage bottlenecks institute in traditional NAS storage and optimizes utilization of AI compute capacity.

“The Habana team is committed to bringing Gaudi’south price performance, usability and scalability to enterprise AI customers who need more cost-effective AI preparation solutions,” said Eitan Medina, chief business organisation officer of Habana Labs. “Nosotros are pleased to support our customers with this new turnkey solution that brings the efficiency of the Supermicro X12 Gaudi AI Server together with the data management and storage performance of the DDN AI400X2 organization to augment utilization of AI compute capacity and enable us to address this growing demand in training deep learning models.”

Gurobi 9.5 Delivers Enterprise Features and Even Amend Operation

Gurobi Optimization, LLC, creator of the fast mathematical optimization solver, announced the release of Gurobi Optimizer ix.5. This release provides customers with an even faster compute engine, with impressive functioning improvements beyond all supported problem types. Customers volition discover over a dozen enhancements beyond the product, such every bit native support for Apple tree M1, powerful new heuristics for non-convex quadratic models, norm constraints, deterministic work measures, memory limit parameters, and more user control of IIS computation, as well as improvements to callbacks and tuning.

“I’m confident that our customers will be really pleased with Gurobi 9.five. And happy customers are the foundation upon which our whole business is built,” said Dr. Edward Rothberg, Master Executive Officer and Co-founder of Gurobi Optimization.

ScaleOut Software Announces Azure Digital Twins Integration for its ScaleOut Digital Twin Streaming Service™

ScaleOut Software announced major extensions to the ScaleOut Digital Twin Streaming Service™ that integrate its Azure-based in-memory computing platform with Microsoft’due south Azure Digital Twins cloud service. This integration adds key new capabilities for real-fourth dimension analytics to Azure Digital Twins and unlocks important new use cases in a variety of applications, such as predictive maintenance, logistics, telematics, disaster recovery, cyber and physical security, health-device tracking, IoT, smart cities, fiscal services, and ecommerce.

“We are excited to combine our in-memory computing technology with the popular Azure Digital Twins platform to deliver fast, scalable insights that aid address existent-time challenges beyond industries,” said Dr. William Bain, ScaleOut Software’due south CEO and founder. “By incorporating this technology, ScaleOut Software is enabling a new wave of applications for Azure Digital Twins, and we look forward to helping our customers accept total advantage of this integration to meet their real-fourth dimension monitoring and streaming analytics capabilities.”

Introducing CockroachDB 21.2: Survive and Thrive in a Distributed World

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Cockroach Labs, the company backside CockroachDB, the most highly evolved SQL database on the planet, announced the release of CockroachDB 21.2, further strengthening its position as an ideal transactional database for cloud-native applications. CockroachDB 21.2 delivers improvements that permit developers integrate more seamlessly with event-driven data architecture, build against CockroachDB with more than schema design and query optimization tools, and operate more hands at a massive scale. Deployment of modern data architecture in the deject demands a scalable, resilient infrastructure that tin can extract the full value of the distributed environment. Still, the bulk of infrastructure yet used beneath critical applications was not built to meet the demands of today’s real-fourth dimension, global economy. Organizations are looking for data platforms that can effortlessly perform as the market shifts to cater to cloud-native solutions.

“Nigh of our customers plough to CockroachDB for a scalable and resilient relational database—but they also value a familiar and comfy programmer experience, uncomplicated integrations with their preferred stack, and easy operations. CockroachDB was built by developers, for developers, and 21.ii builds upon these cadre principles,” said Spencer Kimball, CEO, and co-founder of Cockroach Labs. “With the help of our customers and their feedback, CockroachDB 21.2 is some other step forward in our mission to make it easy to build world-changing applications.”

PingCAP Introduces its New Developer Tier to Boost Application Innovation with TiDB Cloud

PingCAP, a leading distributed SQL provider, announced the availability of its new Developer Tier for TiDB Cloud. The fully-managed database every bit a service now allows developers to easily launch a small TiDB cluster for free for up to one year. The TiDB Cloud Developer Tier introduces a 12-month trial flow, in which developers tin build and test applications direct in the platform. Through this offering, PingCAP is breaking downwardly the adoption barrier for TiDB, providing the crucial time developers need to experiment first-hand how TiDB and TiDB Cloud can support their mission-critical applications and workloads, while providing determination makers a time frame to properly evaluate and determine where TiDB delivers the highest ROI for their needs.

“Our commitment to our customers starts before they cull PingCAP as their provider. Through this new developer tier, we are giving users the advisable time to properly test and evaluate the benefits of TiDB and TiDB Cloud,” said Shen Li, SVP, Head of Global Business organisation at PingCAP. “This new tier aims to ease the decision-making process and give customers the conviction that they are choosing the all-time option for their projects. Moreover, we are shattering the barrier for TiDB adoption and making it easier for our customers to onboard TiDB in their mission-critical applications.”

Datadobi Software Enhancements Power Agile Multi-Deject Expansion, Flexible Information Reorganization, Lower Costs

Datadobi, a leader in unstructured data direction software, announced enhancements to its vendor-neutral unstructured data mobility engine with the introduction of DobiMigrate’s API. Version 5.13 will permit organizations to programmatically configure unstructured data migrations using the API.

“Due to the scale and complexity of unstructured data in today’southward heterogeneous storage environments, enterprises can no longer rely on outdated tools and transmission practices to execute data management projects. Organizations must trust specialist tools powered by automation to gain an understanding of their environments and movement data appropriately,” said Carl D’Halluin, CTO, Datadobi. “Datadobi’s API allows for a seamless information direction experience built with the speed and integrity needed to conduct business organisation today.”

Alluxio Boosts AI/ML Support for Its Hybrid and Multi-Deject Data Orchestration Platform

Alluxio, the developer of open source data orchestration software for large-scale workloads, announced the immediate availability of version 2.vii of its Data Orchestration Platform. This new release has led to 5x improved I/O efficiency for Machine Learning (ML) grooming at significantly lower cost by parallelizing data loading, data preprocessing and grooming pipelines. Alluxio ii.vii too provides enhanced performance insights and support for open table formats similar Apache Hudi and Iceberg to more than easily calibration admission to data lakes for faster Presto and Spark-based analytics.

“Alluxio 2.7 farther strengthens Alluxio’s position as a key component for AI, Machine Learning, and deep learning in the deject,” said Haoyuan Li, Founder and CEO, Alluxio. “With the age of growing datasets and increased computing power from CPUs and GPUs, machine learning and deep learning have go popular techniques for AI. This rise of these techniques advances the state-of-the-fine art for AI, but too exposes some challenges for the access to data and storage systems.”

DDN Launches Next Generation of Loftier Functioning NVMe and Hybrid Storage
for AI and Advanced Computing Dispatch

DDN®, a leader in artificial intelligence (AI) and multicloud data direction solutions, appear the availability of its next generation of NVMe platforms, the SFA® 400NVX2 and 200NVX2. These Storage Fusion Architecture® systems are the foundation of DDN’due south accelerated storage portfolio and are available every bit EXAScaler® solutions – ES400NVX2 and ES200NVX2 – as well as the recently appear AI400X2 appliances for enterprise AI deployments. DDN adult these platforms to eliminate many of the challenges organizations face when bringing challenging workloads such as AI applications, natural language processing, fiscal analytics, and manufacturing automation to product.  Their current infrastructure is not designed to handle the ever-expanding corporeality of data these applications require, nor are they optimized to deliver the data fast enough for real-time processing and insight. With these systems as the foundation, DDN can provide enterprise-class storage solutions with ease of use, security and powerful data management to complement its best-in-course performance and scalability.

“DDN is enabling customers to capture the full value of their information while eliminating complexity without compromising scalability,” said Dr. James Coomer, senior VP of products, DDN.  “Past creating intelligent infrastructure using autonomous operations to greatly reduce administrative overhead and optimize systems for every workload, we can evangelize flexible solutions that help customers go the nearly from their AI, analytics and high-performance computing projects.”

Starburst Announces New Product Release Which Extends Flexibility When Edifice Information Lakehouse Architecture

Starburst, the analytics anywhere company, announced the availability of the latest version of Starburst Enterprise. With enhanced performance, connectivity and security, Starburst Enterprise streamlines and expands data access across deject and on-prem environments. Back up for Apache Iceberg and MinIO with enhancements to materialized views empowers both data teams and domain experts with new information lake functionality that accelerates the journey to a data mesh architecture.

“Apache Iceberg is a rapidly growing open up table format designed for petabyte calibration datasets. With the add-on of Starburst support for querying data stored in Apache Iceberg, Starburst at present provides its customers the optionality to utilise Iceberg or Delta Lake (or both) table formats for their data lakehouse architecture,” said Matt Fuller, VP, Product and co-founder of Starburst. “Additionally, as companies continue to adopt hybrid and cantankerous-cloud architectures, their data gravity is both in the cloud and on-prem. Businesses with information stored on-prem are opting for S3-compatible storage, such as MinIO as they build their individual, cloud-similar compages. With official Starburst support for querying information stored in MinIO, MinIO users can heighten their hybrid and cantankerous-cloud strategies.”

Fortanix Introduces Confidential AI to Streamline the Development of Richer AI Models and Applications

Fortanix® Inc., the data-first multi-cloud security company, introduced Confidential AI, a new software and infrastructure subscription service that leverages Fortanix’s manufacture-leading confidential computing to improve the quality and accuracy of data models, also every bit to keep data models secure. With Fortanix Confidential AI, information teams in regulated, privacy-sensitive industries such as healthcare and financial services can employ private data to develop and deploy richer AI models.

“For today’due south AI teams, ane matter that gets in the style of quality models is the fact that information teams aren’t able to fully employ private data,” said Ambuj Kumar, CEO and co-founder of Fortanix. “Confidential AI makes that problem disappear past ensuring that highly sensitive data can’t be compromised even while in apply, giving organizations the peace of heed that comes with assured privacy and compliance.”

DataRobot Introduces “AI Deject for Industries,” Arming Banking, Healthcare, Manufacturing and Retail Customers for the Side by side Generation of Intelligent Business

DataRobot announced DataRobot AI Cloud for Industries, a comprehensive solution that unites industry-tailored AI capabilities and best practices, integrations, and expanded partnerships for major industries. Building upon DataRobot AI Cloud, the new launch leverages DataRobot’s deep expertise working with many of the largest and most successful retail, banking, manufacturing and healthcare organizations in the globe to harness the ability of AI to transform their operations, accelerate growth opportunities and manage risk as they evangelize services for their teams and customers.

DDN Launches AI Innovation Lab with NVIDIA

DDN®, a leader in Artificial Intelligence (AI) and multi-cloud data management solutions, appear that it has joined with NVIDIA to establish an AI Innovation Lab in Singapore to drive innovation and accelerate the deployment of AI-based solutions for enterprises. The AI Innovation Lab will provide customers and partners the necessary infrastructure and tools to build AI-led solutions at scale. With the all-time-in-class computing, networking and storage infrastructure provided by the lab, enterprises volition be able to build, test and optimize AI models. The lab will be powered by DDN’s A3I® AI400X™
systems to provide unmatched operation, optimal efficiency and flexible growth when used with NVIDIA DGX™ systems. DDN’s AI400X systems take been deployed to deliver the robust and high-performance storage for NVIDIA Selene, the globe’s sixth nigh powerful supercomputer. DDN systems are certified past NVIDIA for scalable NVIDIA DGX™ POD™ and NVIDIA DGX™ SuperPOD™ configurations, and offering storage infrastructure optimized to meet the demands of evolving AI workloads.

“As a trusted data storage solutions provider, nosotros are excited to interact with NVIDIA to deliver Intelligent Infrastructure to enterprises locally to develop, test and deploy rich AI solutions at scale,” said Atul Vidwansa, general managing director for India & S.Eastward. Asia, DDN. “This further demonstrates our delivery to empowering customers and partners to drive AI-powered innovations as quickly every bit possible.”

Apromore Announces Version 8 to Further Enable End-to-Terminate Process Intelligence

Apromore, a leading provider of enterprise-grade and open-source procedure mining technology, announced the latest version of its research-led process mining software, Apromore 8. New capabilities mean that organizations tin speedily and accurately map stop-to-end business processes that span multiple applications to accelerate, scale and efficiently manage business process improvement and automation initiatives.

“As the economic system rebounds and new challenges appear in business organisation processes, customers are request for means to advance the fourth dimension to gaining actionable insights from process mining,” said Prof. Marcello La Rosa, Apromore co-founder and Chief Executive Officeholder. “The improvements in Apromore 8 give customers the power to streamline and scale business process improvement initiatives through easier integration, security and project management capabilities.”

Vertica to Leverage NetApp StorageGRID to Deliver Deject-Calibration Analytics to On-Premises Environments

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Vertica announced a new integration with NetApp StorageGRID to evangelize the advantages of cloud-native analytics to on-premises environments. This combined analytics offer enables data-driven organizations to elastically calibration capacity and functioning as data volumes abound and equally analytics and machine learning become a strategic business concern driver – all from within their enterprise information centers.

“With this NetApp integration, we are committed to providing our joint customers with the broadest options to power their strategic analytical and machine learning initiatives in the mode that works all-time for their businesses — today and in the time to come,” said Colin Mahony, senior vice president and general manager of Vertica. “Every organization can now run Vertica’southward deject-optimized architecture with NetApp’s StorageGRID to address their performance and financial requirements – all within enterprise data centers or private clouds.”

Apollo GraphQL Launches Contracts to Expand Access to the Graph

Apollo GraphQL, a pioneer in the use of open source and commercial GraphQL API technologies, announced the launch of Contracts, a dynamic new feature that allows enterprise software teams to create tailored graphs for different audiences by applying filters to a single unified graph.

“The graph is an essential new layer of the software stack that unifies all services into a single source of truth and is becoming the standard for cutting-edge teams developing applications,” said Matt DeBergalis, co-founder and CTO of Apollo GraphQL, which provides the industry’s simply unified graph platform. “Multiple Fortune 500 companies already trust Apollo technology to operate their graph, and companies of that scale oftentimes have hundreds of customer applications and thousands of developers all consuming different subsets of data from the graph. Rather than exposing the entire graph to every internal and external developer, Contracts permit you to streamline the experience by creating an private graph for each audience which contains a filtered subset of the unified graph.”

Agora Launches New Analytics Solution, Empowering Developers with Powerful Service Balls Tools

Agora, Inc. (NASDAQ: API), a pioneer and leading platform for real-time engagement (RTE) APIs, has launched Agora Analytics 3.0, which provides developers with valuable insights into the audio and video performance of their application and the capability to drill-down and understand specific Quality-of-Feel (QoE) metrics at the individual user or session level.

“Agora Analytics 3.0 will transform the way developers build and deploy new sound and video experiences,” said Tony Zhao, Co-founder, and CEO of Agora. “With consistent monitoring and alerts, developers now accept access to user data in real-time to troubleshoot issues and ensure high-quality seamless user experiences.”

IBM to Add New Natural Language Processing Enhancements to Watson Discovery

IBM (NYSE: IBM) appear new tongue processing (NLP) enhancements planned for IBM Watson Discovery. These planned updates are designed to aid business users in industries such as financial services, insurance and legal services enhance customer intendance and accelerate business concern processes past uncovering insights and synthesizing information from complex documents.

“The stream of innovation coming to IBM Watson from IBM Enquiry is why global businesses in the fields of financial services, insurance and legal services turn to IBM to help observe emerging business trends, gain operational efficiency and empower their workers to uncover new insights,” said Daniel Hernandez, General Manager of Data and AI, IBM. “The pipeline of tongue processing innovations nosotros’re adding to Watson Discovery can continue to provide businesses with the capabilities to more easily extract the signal from the noise and better serve their customers and employees.”

Cloudian Adds New Direction and Security Features to HyperIQ Observability and
Analytics Solution

Cloudian® announced new features in its HyperIQ observability and analytics solution, addressing the challenge of managing modern storage infrastructures that are increasingly distributed across geographically dispersed data centers. Introduced concluding yr, HyperIQ gives enterprises and service providers a unified management view of their entire Cloudian storage infrastructure, encompassing interconnected users, applications, network connections and storage devices. It provides intelligent monitoring, avant-garde analytics and health checks that enable predictive maintenance, enhanced security and resources optimization. Every bit a result, customers can reduce hateful time to repair, increase availability and advance new deployments, thereby saving operational costs and making it easier to adjust to workload demands.

“Today’southward modern storage infrastructure is increasingly distributed across geographically dispersed data centers, both on-premises and in public clouds,” said Jon Toor, chief marketing officer, Cloudian. “HyperIQ provides the comprehensive view of this geo-distributed storage and related networking infrastructure, and today’s proclamation gives enterprises boosted tools for efficiently, cost-finer and deeply managing it.”

Imply Introduces Project Shapeshift, the Next Step in the Evolution
of the Druid Experience

Imply, founded by the original creators of Apache Druid®, unveiled Projection Shapeshift, which volition offering developers and organizations a side by side level Druid experience that reimagines the process of building modern analytics applications. A series of game changing capabilities will exist released throughout the side by side year to transform the Druid experience to fit a deject-native, developer-centric world.

“Nosotros saw the impact that our friends at Confluent had when they launched their industry-defining Projection Metamorphosis,” said Gian Merlino, an original creator of Apache Druid, and Imply co-founder and CTO. “Establishing a path forrard to massive adoption of a new data infrastructure lies in a strong commitment to advancing the underlying open source technology combined with a dedication to re-engineer the very foundation of that applied science to be truly deject-native. It’due south an outcome that can but exist achieved by the original creators of the open source engineering science supported by the organization they lead. This is what Projection Shapeshift is all about, and over the next 12 months there will be product updates for both Druid and Imply.”

Confluent Sets Information in Motion Across Hybrid and Multicloud Environments for Existent-Time Connectivity Everywhere

Confluent, Inc. (NASDAQ: CFLT), the platform to set up data in movement, announced that Cluster Linking is available on Confluent Platform 7.0. Combined with its earlier release on Confluent Deject, Cluster Linking can now be used in any environs, everywhere an enterprise’south information and workloads reside. Now, organizations can securely stream data beyond hybrid and multicloud environments without needing to manage additional layers of complex tooling across disparate and siloed architectures. With a reliable, persistent bridge for real-fourth dimension data sharing, organizations can apace mobilize their data across their business to drive next-generation digital experiences and operations while maximizing the value of their cloud initiatives.

“At that place’s a massive shift to the cloud that is inadvertently creating pockets of siloed data across organizations,” said Ganesh Srinivasan, Principal Product Officer, Confluent. “It is at present more important than always for businesses to solve these data connectivity challenges equally their success depends on it. With Cluster Linking, the data across all the parts of a visitor–from cloud, on-premises, and everything in between–can be apace continued in real fourth dimension to help modernize businesses and build stand up-out applications.”

ZeroShotBot Launches World’southward First AI Chatbot That Requires Nix Training Data or Coding for Businesses of All Sizes

ZeroShotBot announced the launch of a new disruptive conversational AI technology that democratizes chatbots for businesses big and small-scale. ZeroShotBot brings a new way of building chatbots that can be scalable within hours, and requires no training data, assuasive anyone with cypher coding feel and training to create a fully functionable chatbot. Where many marketplace leading chatbot solutions accept several months and a team of developers to build and deploy a solution ZeroShotBot is able to reduce this effort to as quickly as 1 day.

“I’ve studied and worked in the AI industry and recognized that there had to be a better way to create chatbots that doesn’t require a lot of time and setup and overhead costs. I strongly believe in the potential of AI and chatbots just felt that the promise of chatbots has to engagement outstripped reality,” said Dr. Jason Mars, founder and CEO of ZeroShotBot. “With ZeroShotBot our aim is to democratize chatbots every bit we know it past completely rethinking from the ground upwardly how AI chatbots piece of work. ZeroShotBot is the commencement chatbot that is truly accessible for businesses of all sizes, especially for pocket-sized businesses, which is the engine of our economy. Piece of cake and quick to ready, affordable for all budgets, and only more effective, ZeroShotBot is the dawn of a new era in customer service.”

Lucata Launches Side by side Generation Computing Platform That Shatters the Functioning Limits of Conventional Computers for Graph Analytics

Lucata, provider of a next generation server platform for accelerating and scaling graph analytics, AI and machine learning (ML) appear it has launched the Lucata Pathfinder server and a customized version of GraphBLAS for the Lucata platform. Performance benchmarks demonstrate the unmatched functioning and scalability improvements of the Lucata platform, which enables users to run faster analytics on larger graphs than is possible with conventional calculating technologies. The Lucata platform affordably fills the gap betwixt the performance and scalability of conventional servers and the capabilities of supercomputers for Big Data graph analytics. A single rack of Pathfinder chassis provides the same full Breadth-First Search (BFS) performance as over 1,000 Xeon processors, while using ane/10th the power of a comparable Xeon-based system.

“Innovation is always fueled by democratizing access to the latest high-terminate technology. By making information technology possible to cost-finer analyze massive graph databases, Lucata will spur meaning innovation in multiple industries,” said Marty Deneroff, Lucata COO. “The Pathfinder benchmarks demonstrate the orders-of-magnitude increase in performance and scalability made possible today by our patented Migrating Thread engineering science.”

Crate.io launches CrateOM: a smart solution to digitalize and optimize operational processes

Crate.io, the enterprise data management company enabling data insights at scale, announced the launch of CrateOM, a smart solution that transforms process data into actionable insights. CrateOM runs in the deject, at the edge or in a hybrid environment. By enabling digital transformation through real-time insights and in-app communications, CrateOM helps production companies improve conclusion making and cantankerous-functional collaboration. Running on CrateDB, an enterprise-grade open up-source database optimized for big data volumes, CrateOM supports the complexity of manufacturing and enables companies to digitalize processes and streamline operations. Designed to improve process efficiency, CrateOM reduces unplanned reanimation, increases employee effectiveness, optimizes resource utilization and minimizes waste.

“ALPLA has been a swell development partner in the creation of CrateOM,” commented Crate.io CEO Eva Schönleitner. “Together, nosotros saw a need for a smart factory solution that would utilise the avant-garde functionalities of CrateDB on the shop floor. With the launch of CrateOM, nosotros want to extend our value offering from data collection to enabling operational data analysis in real time beyond several plants. We as well partnered with Microsoft to ensure CrateOM runs on Microsoft Azure as the primary cloud provider.”

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Source: https://insidebigdata.com/2021/11/24/insidebigdata-latest-news-11-24-2021/