Pax8, the leading cloud commerce marketplace, welcomes Redstor, a global leader in cloud backup and recovery that will revolutionize Managed Service Providers’ (MSPs) backup offerings. Redstor’s AI-powered cloud backup solution guarantees MSPs’ instant recovery of files across cloud infrastructure, SaaS business apps like M365, Google Workspace, Salesforce and Quickbooks, as well as on-prem data, while eliminating the need for hardware and mitigating against cyber risks. Redstor helps MSPs fuel growth, improve operational efficiency and reduce risk through its software which is uniquely built for the cloud and engineered to scale rapidly with product-led growth at its core.

“Data loss can be catastrophic for any business,” said Ryan Burton, Vice President of Product Strategy at Pax8. “We are excited to partner with Redstor to arm our partners with an incredibly robust backup solution to safeguard their customers’ most valuable asset – their data.”

Redstor, with offices in the, US, UK and South Africa, boasts an enviable reputation for delivering robust, category-leading backup solutions to the channel. Consistently ranked on G2.com as a leader across 16 categories including online backup and DRaaS, Redstor helps MSPs to drive market-leading revenue retention and enhanced margins.

“We’re seeing unprecedented demand for our software, especially around the protection of M365, Google Workspace, QuickBooks Online and Azure VM environments. Recognizing the need for superior solutions, we built better, refusing to settle for mediocrity,” commented James Griffin, CEO, Redstor. “We are relentless in our belief that everything can always be improved. The Pax8 partnership further expands our ability to bring a smarter backup product to the thousands of global MSPs who need and deserve a better solution to the protection of modern workloads.”

Redstor empowers Pax8 partners to:

Fuel Growth: Tap into new revenue streams by protecting critical applications and workloads such as Azure VMs, Salesforce, QuickBooks and Xero, all with 30-day free end user trials.

Optimize Efficiency: Manage all customers and the protection of their data from a single app, instantly recover customer data from the cloud and benefit from seamless billing integration with Pax8.

Reduce Risk: Leverage AI-powered malware detection and data tagging and classification to enable safe recovery from cyber-attacks and help identify sensitive and business critical data.

This breakthrough partnership further amplifies Pax8's expansive marketplace, providing MSPs with a comprehensive suite of solutions to overcome today's most daunting data protection challenges.

Coverage extends across on-premises and cloud, unstructured and structured sources to discover, classify, and inventory data wherever it resides

OneTrust, the market-defining leader for trust intelligence, announces new data source connectors for OneTrust Data Discovery, bringing the total number of out-of-the-box connectors to over 200. This allows organizations to scan, classify, inventory, and remediate data from virtually any data source.

"Data is created at unprecedented rates, and that data often extends across dozens of data stores in the enterprise," said Blake Brannon, Chief Product & Strategy Officer at OneTrust. "Your data security posture only goes as far as your solutions can reach, and companies need to ensure their discovery efforts don't leave any data behind, especially sensitive and personal data. OneTrust continues to deliver the connectors organizations need to discover, classify, and catalog data in virtually any system to gain visibility and minimize data risk."

Data Discovery connects to hundreds of different data sources to scan, classify, and catalog data. Whether data resides on-premises or in the cloud, is structured or unstructured, is in data lakes, data warehouses, or SaaS applications, OneTrust covers virtually any data store across the entire data ecosystem, including:

• Big data: Amazon Redshift, Databricks, Google BigQuery, Snowflake, Teradata
• SaaS applications: Microsoft Dynamics, Salesforce, Slack, Workday, Zendesk
• Structured databases: Microsoft SQL, MySQL, Oracle, PostgreSQL, SAP Hana
• Unstructured file shares: Amazon S3, Box, Microsoft OneDrive, Microsoft SharePoint, SMB

OneTrust also enables organizations to build their own connectors to address bespoke, legacy, and homegrown data stores through drag-and-drop JDBC drivers and a low-code SDK.

OneTrust Data Discovery provides the foundation of visibility and control for any data, privacy, or security team. With AI-powered data classification, built-in regulatory intelligence, and automated policy enforcement, Data Discovery delivers the capabilities enterprises need to automate data security and governance. Coupled with category-defining consent, preference, and privacy management, OneTrust Data Discovery enables modern businesses to ensure responsible use of data throughout the entire data lifecycle.

Shutterstock, a leading global creative platform for transformative brands, newsrooms and media companies, today announced the launch of the brand new Shutterstock Editorial platform, including offering Editorial Subscriptions for the very first time. This centralized destination offers the entire Shutterstock Editorial offering with more than 90 million assets across entertainment, breaking news, sports and archival already available and 700,000 new assets added each month.

Building on the momentum of the recent acquisition of Splash News and a new deal with Opry Entertainment Group, this site development is the next step in Shutterstock Editorial's rapid evolution as the leading destination for breaking news and exclusive archival content. The Shutterstock Editorial search function is streamlined through curated collections personalized to individual users and includes filters and predictive search functions based on search history. The platform will offer two unique editorial subscription options: Essential, which runs on a monthly basis and Elite, which runs on an annual basis, as well as an à la carte shopping option that does not require a subscription.

"We've made it easier than ever to find the right piece of content by constantly working to enhance the breadth of our library and the speed at which new assets are available for our contributors to publish," said Candice Murray, Global VP of Shutterstock Editorial. "By optimizing the search experience and offering bespoke subscriptions, we have created the perfect solution for every player in the Editorial ecosystem."

"The Condé Nast archive is a treasure trove for visual storytelling, and we're thrilled that the new Shutterstock Editorial hub will allow culture lovers around the world to access these iconic photographs effortlessly," said Ivan Shaw, Corporate Photography Director at Condé Nast.

Dave Hogan, a VIP entertainment photographer who recently joined Shutterstock Editorial, added "Both Shutterstock and I have a 20-year legacy of capturing iconic moments in entertainment history, and this exciting transition broadens my coverage of key entertainment events, from star-studded red carpets to prestigious awards ceremonies. This new platform will ensure that my work will receive unparalleled visibility with the fastest and highest-quality content and coverage."

Vectara, the Generative AI (GenAI) Conversational Search Platform, is committed to a holistic Go-To-Market strategy and has appointed seasoned industry leaders to build and drive the Sales, Marketing, Developer, and Partner Ecosystem charters. The strategy is reinforced by Vectara’s vision of helping the world find meaning through search with its grounded generation developer-first API platform, allowing co-innovation and value creation for Vectara customers and partners.

Driving this collective mission, Vectara’s GTM Leadership team consists of:

• Bader Hamdan, Head of Partnerships & Joint Ventures - Builder of global enterprise BD/GTM, $1B strategic alliances and ecosystem partnerships at Twilio, Google, Cisco. Speaker, startup mentor, Channel Futures 2022 DE&I Honoree. Co-led build-buy-partner strategy into ISV Partner acquisition.
• Lance Wills, Head of Growth Marketing - Built out launch GTM plan for SaaS FinTech Bento for Business (Acquired by US Bank, 2021)
• Ofer Mendelevitch, Head of Developer Relations - Experienced machine learning leader at Helix, Hortonworks and Yahoo!. Author and speaker
• Sean Anderson, Head of Product Marketing - Seasoned product marketing leader in data and machine learning, author, and podcast host
• Shawn Clink, Head of Strategic Sales - Sales leader with 20+ year track record growing revenue for enterprise software manufacturers (search, AI and big data) like Elastic (IPO), CA Technologies (now Broadcom), Fair Isaac (now FICO) and Cisco Systems (Caissoft acquisition)

“Vectara’s GTM charter positions us for sustainable future success and we are committed to a holistic go-to-market strategy, inclusive of Sales, Marketing, DevRel, and Partnerships to extend our PLG efforts,” said Dr. Amr Awadallah, Co-Founder & CEO. “Expanding GTM by investing in a robust Partner Ecosystem strategy and program will further strengthen our platform approach and market reach to fuel Vectara’s growth.”

With the conviction of “Ecosystem Partnerships are the enablers of growth and scale,” Bader will serve as Ecosystem Chief to empower Vectara’s Partner Ecosystem strategy centered on joint product co-innovation, additive go-to-market motions, and cloud platform marketplace alignment. The strategic vision will be underpinned by a Partner program that delivers ‘Better Together’ value creation for customers and celebrates Ecosystem success.

“We’re at the cusp of an industry-defining moment to shape ecosystem values and ‘Humanize Partnerships’ in the age fueled by the tremendous AI opportunity. There is no better time than now to imagine and build ‘the art of possible’ of Vectara’s Partner Ecosystem future,” said Bader Hamdan. “I’m thrilled to embark on Vectara’s journey with a team of successful entrepreneur founders, GTM leaders, and AI technologists. We’re well poised to enable delightful customer and partner experiences.”

New Tool Enables Quick Generation and Finalization of On-brand, Locally Relevant Content 

 Lilt, the leading AI solution for enterprise translation, today announced the launch of Lilt Create, a multilingual writing tool. Lilt Create enables regional teams to quickly and directly create brand-aligned, enterprise grade content in any language. The addition of this app makes the Lilt Contextual AI Platform the first and only existing platform to offer both multilingual content translation and creation.

Historically, businesses that operate in global markets have been forced to choose between creating source content in one hub, then translating to other languages, or decentralizing content creation. Centralization creates brand consistency, but slows down in-region teams. Decentralization usually causes content gaps as teams have competing priorities. 

"Enterprise organizations are routinely forced to trade off between speed and local relevance in their global content creation strategy" said Lilt CEO Spence Green. "Lilt Create offers our customers an additional tool to empower their regional teams and develop an optimized, fit-to-purpose global content creation strategy, eliminating that tradeoff."

Accessible via the Lilt Platform, Lilt Create enables regional users to directly generate content in any language with the assistance of generative AI, then refine and finalize that content to ensure appropriate context by locale. The app offers users the ability to leverage multilingual data preferences verified through previous work with Lilt, such as historical translations, company brand styles guides, and glossaries and keywords.

Using each customer's multilingual data as their large language model prompts, Lilt Create is able to generate higher-quality, brand-aligned content that reflects a company's preferences, tone, and style while still allowing regional users to infuse local relevance and context. Lilt Create also provides a highly-intuitive interface that is easy for non-technical and non-specialized stakeholders to use, making it an easy addition to toolkits for regional teams including marketing, customer support, communications, and more.

Lilt Create is available in public preview for any enterprise user through the end of July 2023.

Mapp, the international provider of insight-led customer experiences, announces the addition of several new updates to its core product, Mapp Cloud. These enhancements offer marketing professionals a range of expanded cloud functionalities, empowering them to deliver more personalized and effective campaigns.

At the heart of this update is the newly enhanced Magento plugin. Marketing professionals utilizing Magento can connect their e-commerce platform with the powerful Mapp Cloud and benefit from comprehensive marketing capabilities. Real-time insights allow marketers to create personalized, cross-channel campaigns based on user behavior. For example, shopping behavior predictions can be made, and campaigns can be tailored accordingly.

Within Mapp Cloud, marketers can connect relevant service phone numbers with push and in-app messages using the new "Tap-to-Call" feature. With just one tap, customers can directly interact with brands, enabling more proactive customer service, the promotion of seasonal offers, or the delivery of information regarding their latest orders in a quick and streamlined manner.

Another enhancement to Mapp Cloud is the extended functionality of Mapp Intelligence. With this analytics solution, individual time periods can now be defined for analyses and dashboards, allowing targeted data selection for specific analysis purposes and comparison of marketing activities based on user needs. Additionally, Mapp Intelligence now enables configuration monitoring and rollback of changes, giving users full control over their collected data and allowing them to view version history, make modifications, and revert if necessary.

Additional product updates include:

• Improved email functions such as monitoring and inbox display for Mapp Engage
• New SMS provider for Mapp Engage
• Update to the Analytics API for Mapp Intelligence
• Video Analytics for YouTube for Mapp Intelligence
• More Flexibility for Onsite Placements for Mapp Intelligence
• Mapp Cloud Debugger: browser detection and content engagement updates
• And many more. You can find the full Mapp Cloud June update here.

"In today's world, holistic marketing across various channels is of great importance. At Mapp, we take pride in continuously providing our customers with innovative new solutions and exciting enhancements," says Eric Lubow, Chief Technology & Product Officer at Mapp. "It is crucial for our customers to reach their target audience at every touchpoint in order to ensure a seamless customer experience. With these new updates, we continue to push the boundaries of digital marketing and offer our clients a first-class platform to achieve their marketing goals."

 Insight Enterprises NASDAQ: NSIT, a Fortune 500 Solutions Integrator, is launching a new service offering designed to help unlock the vast potential of generative AI to drive value to clients' businesses. Insight Lens for GenAI builds on Insight's deep capabilities in enterprise applications, data platforms, technical architecture and scaled infrastructure solutions. 

The offerings leverage Insight's extensive network of partner relationships with the world's leading technology companies, including Microsoft, NVIDIA, NetApp and more. 

The Insight Lens for GenAI approach is based on four key foundational pillars that combine to drive clients' data-driven transformation:

• Creating a secure, scalable enterprise instance of generative AI within client environments.
• Identifying and prioritizing high-value use cases, leveraging Insight expertise across client value chains.
• Leveraging the Insight Lens™ platform, which uses a metadata-driven architecture to ingest data from multiple enterprise sources and process it into a modern data warehouse.
• Designing, building and deploying infrastructure to support generative AI platforms.

"Insight is an established leader in data and AI, and we have invested heavily in creating business impact through our Insight Lens framework, which can quickly ingest terabytes of enterprise data across dozens of sources into a central repository for improved visibility, analysis and business value. The addition of generative AI capabilities will fast-track clients' ability to accelerate data-driven transformation," said Matt Jackson, Insight global CTO.

Insight's rapid launch is in part related to the in-house OpenAI center of excellence and IP development strategy to expand the value of generative AI for clients, as well as its own experience in using the tool to streamline internal data analysis and decision-making. Insight is fully operating a "client-zero" test-bed environment internally to pressure test real-life applications of the services. 

Enterprise customers can now leverage knowledge graphs with Google's large language models to make generative AI outcomes more accurate, transparent, and explainable

 Neo4j®, the world's leading graph database and analytics company, announced a new product integration with Google Cloud's latest generative AI features in Vertex AI, Google's leading large language model (LLM) platform. The result empowers enterprise customers to harness knowledge graphs built on Neo4j's fully managed cloud offerings in Google Cloud Platform for generative AI insights and recommendations that are more accurate, transparent, and explainable.

Neo4j's graph database and analytics capabilities can be used to create knowledge graphs, which capture relationships between entities, enabling AI systems to reason, infer, and retrieve relevant information effectively. The result ensures more accurate, explainable, and transparent outcomes for large language models (LLMs) and other generative AI systems.

Specific integrations with Google's generative AI capabilities in Vertex AI enable enterprise customers to:

1. Leverage natural language to interact with knowledge graphs: Vertex AI's generative AI capabilities can be used to provide a natural language interface to the knowledge graph. In this case, Cypher query language statements are generated from user input and used to query the database. This allows non-technical users unfamiliar with database query languages to access the knowledge graph. We will soon provide this capability to existing dashboarding and other user tools that are already used by most Neo4j customers.
2. Transform unstructured data into knowledge graphs: Developers can leverage new generative AI capabilities in Vertex AI to process unstructured data, structure it, and load it into a knowledge graph. Once in a knowledge graph, users extract insights leveraging Neo4j data visualization and query tools such as Bloom for business intelligence (BI) and Neo4j Graph Data Science.
3. Real-time GenAI enrichment: Neo4j databases now have the ability to call Vertex AI services in real-time to enrich knowledge graphs. The input to a generative model can be augmented from structured sources like knowledge graphs as requested context for guiding the model processing. The response can be post-processed for result verification, guard-railing, and enriched for correctly generated semantic entities.
4. Support for vector embeddings: Neo4j can be leveraged to provide long-term memory for large language models through support of vector embeddings. Neo4j's Graph Data Science supports more than 60 algorithms, including efficient (approximate) nearest neighbor graphs and cosine similarity on embedding vectors to perform similarity searches. This, along with Vertex AI embedding APIs, can be a powerful tool for enterprises to reduce costs and build intelligent applications.
5. Grounding with knowledge graphs: Grounding is the ability of enterprise customers to validate responses received from large language models against enterprise knowledge graphs. This will avoid hallucinations and provide confidence to users in the results received. Developers can use LangChain along with Neo4j-based knowledge graphs to enable grounding use cases.

Long-standing strategic partnership since 2019
Google Cloud and Neo4j launched their strategic partnership in 2019. Hundreds of large enterprises and SMBs have leveraged Neo4j on Google Cloud for AI use cases ranging from anti-money laundering to personalized recommendations, supply chain management, natural language generation, molecular design, digital twinning, and more.

"Businesses are undergoing data- and AI-driven transformations at an unprecedented rate," said Nenshad Bardoliwalla, Director of Product Management for Vertex AI, Google Cloud. "These new integrations between Neo4j and Vertex AI will help businesses create more value and impact with their data and LLMs through capabilities like real-time enrichments and grounding, pattern identification in large datasets, and new abilities to explore their data with natural language."

"Neo4j's partnership with Google represents a powerful union of graph technology and cloud computing excellence in a new era of AI," said Emil Eifrem, Co-Founder and CEO, Neo4j. "Together, we empower enterprises seeking to leverage generative AI to better innovate, provide the best outcome for their customers, and unlock the true power of their connected data at unprecedented speed."