Based on in-depth reviews and ratings from customers, Image Relay tallies 18 industry leadership wins in G2’s Summer Report

Image Relay, delivering a single source of truth for all digital assets and product information, today announced several category wins in the newest report from G2, the world’s largest software marketplace. The G2 recognitions are the result of real customer reviews of digital asset management (DAM) and product information management (PIM) software.

Among the 18 distinct category awards that Image Relay earned from G2 for its DAM and PIM solutions are Solution Users Are Most Likely to Recommend, Easiest to Use, Best Support, Fastest Implementation, Best Estimated ROI, and Best Results.

Image Relay continues to launch and expand purpose-built solutions that directly address customer pain points and meet digital modernization initiatives. The company recently announced Marketing Delivery, a unique platform combining DAM and PIM capabilities to ensure data veracity and speed across all of a brand’s digital assets and product information. Launched in general availability in June 2023, Marketing Delivery has quickly become a critical component for businesses seeking a holistic, scalable, and cost-effective strategy for DAM and PIM execution.

“Ensuring customer success has been our focus for 21 years at Image Relay, so we’re especially proud to earn so much recognition based on how our customers view and use our solutions,” said Jeff Olsen, Director of Product, Image Relay. “Customer feedback continues to drive our product roadmap, empowering us to build products that brands are excited to put to work. Earning customer-driven accolades for ease of use, ROI, performance, and more is an immense point of pride at Image Relay, and we’re honored by the results of G2’s Summer Report.”

“Rankings on G2 reports are based on data provided to us by real software buyers,” said Sara Rossio, Chief Product Officer at G2. “Potential buyers know they can trust these insights when researching and selecting software because they’re rooted in vetted, verified, and authentic reviews.”

“We continue to see first-hand the value that Image Relay’s innovative solutions deliver,” said Hannah Wilson, Production Manager, Jamie Turner Designs. “No one in the industry understands how to make DAM and PIM as accessible, easy to use, and integrable into our existing workflows and tech stack. Image Relay gives us the tools we need to make sure our marketing assets and product information are always available and always current for anyone that requires them. We congratulate them on well-deserved recognition from G2.”

Optiversal AI helps multiply SEO traffic and revenue for the Retail 100

Optiversal, the generative AI content provider accelerating content creation for large retail enterprises, today announced that it has secured $4.2M in seed funding led by Bling Capital, with participation from Alpaca Ventures and Red Sea Ventures.

"Bling Capital is proud to support Optiversal in its mission to revolutionize the retail industry through its cutting-edge generative AI technology -- helping consumers easily find highly relevant, yet often hard-to-find products sold by retailers. Optiversal's early success with large retail enterprises and the expertise of its seasoned team speak volumes about their potential to transform the enterprise landscape," said Ben Ling, general partner of Bling Capital.

Optiversal eliminates operational and technical barriers to producing relevant, high-quality content at scale for Retailers. Since its launch, the Optiversal platform has converted tens of thousands of missed content opportunities into hundreds of thousands of traffic-generating landing pages, delivering material revenue for enterprises while improving the consumer experience. To date, the company has generated over $125 million in new revenue for its retail customers, including multiple top-20 retailers, showcasing the immense potential of AI-powered content creation in the retail industry.

Optiversal will use this funding to accelerate the growth of the company by investing in product development, its tech and infrastructure, as well as increasing efforts to meet growing customer demands.

"We founded Optiversal with the goal of revolutionizing the way retailers approach content creation," said Will Underwood, CEO and Founder of Optiversal. "Our platform addresses the challenges faced by large retail enterprises in generating high-quality, engaging content at scale. Our ability to develop custom AI models tailored to each of our customer's unique voices, enables them to maintain a consistent and distinct brand voice across all marketing channels while significantly reducing the time and effort required to produce high-quality content. We're thrilled to have the backing of investors like Bling Capital, Alpaca Ventures, and Red Sea Ventures, who share our vision for transforming the retail industry through AI-powered content creation solutions."

Optiversal was founded by Will Underwood, Lucas Tieleman, and Jarrod Wolf, a dynamic trio of successful serial entrepreneurs who have been working together in the retail technology space for nearly a decade. Their combined expertise and passion for innovation have been instrumental in the development of Optiversal's AI-powered content creation platform. With a proven track record of delivering transformative solutions to the retail industry, the founders are well-positioned to lead Optiversal in its mission to revolutionize content creation for retail enterprises.

U.S. federal agencies positioned to move to the cloud securely with leading cloud customer experience orchestration platform from Genesys

Genesys®, a leader in AI-powered experience orchestration, has achieved Federal Risk and Authorization Management Program (FedRAMP®) authorization at the Moderate Impact level for the Genesys Cloud CX™ platform. According to the Genesys State of Customer Experience Report, more than two-thirds of customer experience (CX) leaders at government agencies plan to implement a CX platform that integrates systems within the next two years. Now, with FedRAMP authorization, Genesys Cloud CX U.S. public sector customers can access the most innovative platform for orchestrating experiences, while protecting their mission, assets and resources.       

"Government agencies are under tremendous pressure to modernize their infrastructure to provide personalized, empathetic experiences, all while facing limited budgets and compliance mandates unique to the public sector," said Olivier Jouve, Chief Product Officer at Genesys. "Genesys Cloud CX provides the secure and compliant, open platform they need to meet the changing needs and increasing expectations of their customers."   

With Genesys Cloud CX, state and federal agencies will have access to a powerful set of set of digital, voice, artificial intelligence (AI), workforce engagement management (WEM), analytics and unified communications and collaboration (UCC) capabilities built to orchestrate the customer experience across every touchpoint.  Key benefits of the platform include:

• Improved Customer Experience: Genesys Cloud CX allows U.S. public sector customers to deliver exceptional experiences through real-time access to interactions and data which provides better insights into citizen needs and visibility into journey management metrics to identify opportunities for improvement, track progress towards goals and more.
• Improved Employee Experience: U.S. public sector customers can use Genesys Cloud CX to tap into employee behavior to understand, predict and learn what employees need to unleash their best potential and reduce turnover.
• IT System Modernization: With access to Genesys Cloud CX service from anywhere with an internet connection, government employees can work remotely or in the field. This provides state and federal agencies with the ability to deliver services to constituents anytime, anywhere.
• Enhanced Security and Compliance: The Genesys Cloud CX platform strictly complies with FedRAMP requirements, delivering critical system confidentiality, integrity and availability for government agencies and customers.

"Government agencies continue to plan for, and execute on, a move to the cloud to better serve and protect citizens," said Sheila McGee-Smith, President and Principal Analyst, McGee-Smith Analytics, LLC. "Genesys Cloud CX FedRAMP authorization communicates to both governmental and enterprise decision makers the company's ongoing commitment to provide a secure and compliant cloud-based platform that enables them to provide mission-critical services and support to constituents around the country and the world."

FedRAMP is a U.S. government-wide program that promotes the adoption of secure cloud services across the federal government by providing a standardized approach to security and risk assessment for cloud technologies and federal agencies. FedRAMP enables the federal government to accelerate the adoption of cloud computing by creating transparent standards and processes for security authorizations that help accelerate procurement and streamline adoption of cloud-based solutions.

Genesys supports government agencies of a variety of functions and services including State of Missouri, NAVAIR, a state unemployment agency, and more.

The Genesys Cloud CX FedRAMP authorized solution is available for procurement through Carahsoft Technology Corp., the Trusted IT Government Solutions Provider, on multiple state, local and federal contract vehicles.

FatBrain AI LZG International, Inc., OTCQB: LZGI the "Company," or "we", the leader in powerful and easy-to-use AI solutions for the enterprise stars of tomorrow, files for several patent families.

FatBrain offers a comprehensive suite of Artificial Intelligence (AI) solutions that work by plugging into existing software-as-a-service (SaaS) products like Quickbooks, Shopify, Salesforce, Slack and Hubspot, as well as hundreds of other applications.

The patents filed cover technologies for Peer Intelligence, Hierarchical AI and Private Data Models. The Peer Intelligence patent family claims dynamic scoring for an entity or asset, quantiled by peer behavior within the context of trade (SIC/NAICS/HS), geo, time-series, other data-guided insight. The Hierarchical AI patent family claims generative systems with emergent controls connecting at least micro-, meso- and macro- entities or assets with the dynamic score at each level. The Private Data Model patent family claims augmented, personalized decision-making for multiple peers using small, private data.

"Many and smart beat large and heavy. Our generative AI technologies align permissioned data of many into simplified data-driven insights for the best personalized outcomes," said Peter B. Ritz, co-founder and CEO of FatBrain AI, a reference to U.S. Naval College Prof. John Arquilla's book on modern warfare "Bitskrieg: The New Challenge of Cyberwarfare." Polity Books (2021). "With these powerful, private, generative AI technologies, FatBrain clients, and especially SMEs harness more effective and efficient insights impacting everyday business decisions vs. any siloed F500s or government agencies."

"FatBrain technologies claimed in the patents leverage discoveries from Cognitive Neuroscience to produce effective generative models that learn from small private data. This is in contrast with the traditional AI models —including large language model or LLMs like those in ChatGPT— which need massive amounts of data and learn orders of magnitude slower than humans," added Dr. Rajarshi Das, PhD, Chief Scientific Officer and emeritus research fellow at the Santa Fe Institute and IBM Research. "Our work builds on the decades of work in control theory with reinforcement learning and multi-agent cooperation now advanced for example, by the latest generative model research championed by the Google's DeepMind Gemini project."

Speakers identified a range of use cases from building analytics queries with natural language, to interpreting charts with AI

Mixpanel, the event analytics* pioneer, recently hosted its annual EMEA Customer Forum in London, where more than 100 product and analytics leaders from the world's most exciting digital innovators gathered to exchange ideas, share best practice, and hear from peers that have used event analytics to build outstanding digital products.

A key theme of the forum was the role that generative AI will play in product analytics, with speakers from companies including telecoms giant AT&T, fintech leader Wise, trading platform eToro, video game innovator Superplay and gambling software firm Playtech, touching on the potential of generative AI for analytics.

Rather than having to prepare queries, analytics leaders anticipate being able to chat with AI using natural language to get fast answers from their product data. For example, instead of writing a Structured Query Language (SQL) query to extract specific insights from a dataset, or using more modern and intuitive workflows like Mixpanel, the leaders saw potential in simply asking a question of generative AI linked to their analytics tool, like, "At what stage of the sign up process are we seeing the most drop offs?". AI chat could be used in this way to create meaningful visual representations of data, such as charts and dashboards, removing the need to build queries manually.

Hazal Muhtar, Head of Global Product Analytics at fintech leader Wise said, "We're using Mixpanel to better understand what our customers want from their Wise product experience, particularly our newer SME customers. My team guides our colleagues but we put Mixpanel directly in their hands too. In the most effective digital companies, analyzing and interpreting data extends beyond data scientists. I look forward to seeing how generative AI will enable people without a data background to begin asking questions."

The experts also saw generative AI being used to identify anomalies and blind spots in datasets that may be challenging to detect using manual methods. By identifying emerging anomalies at an early stage, proactive measures can be taken to address them, enabling more efficient and accurate analysis.

"Generative AI has the potential to transform product analytics," said Natalie Kouzeleas, VP EMEA & LATAM at Mixpanel. "We heard from some of the industry's foremost practitioners at this year's customer forum on a range of topics, but generative AI kept on popping up. Those working with customer data to build better product experiences know it can help them do more and empower a greater number of people to ask questions of data that aid decision making."

Integrating generative AI into analytics tools can make data insights more readily available to all team members, creating an environment where insights become an integral part of more discussions, problem-solving, and decision-making processes. Team members who may previously have been reluctant to attempt data analysis become more comfortable using data, interpreting it, and drawing insights. Indeed many of the speakers explained how they were already making significant progress with Mixpanel's existing user interface.

Vasileios Papageorgiou, Lead Analyst at gambling software firm Playtech said: "We're making it possible for hundreds of gambling brands that license our casino, sports, and retail betting games to easily visualise and ask questions of their user data with Mixpanel. For example, pop-up messages can provide valuable information and resources to players, such as reminders to take breaks, set limits on their gambling activity or access self-assessment tools. By integrating these messages into the online gambling experience, brands can help to encourage responsible behavior and reduce the risk of problem gambling." 

Leon Sucharov, Chief Technical Innovation Officer at gambling software giant Playtech said: "We're making it possible for hundreds of gambling brands that license our casino, sports and retail betting games to easily visualize and ask questions of their user data with Mixpanel. Previously they couldn't see things from the player's perspective, now they can easily see what is and isn't working for users, and make continual improvements." 

Guy Barkat, Product Analytics Leader at trading app eToro added: "Before Mixpanel we used BI and it took weeks to code SQL queries, tabulate the data and eventually publish a dashboard. Now we have 300 Mixpanel users asking questions of our data in minutes or even seconds. We still have BI capabilities but our senior leaders often bypass the process and jump straight to Mixpanel. Adding AI chat into the mix will make it easier, so more conversations and decisions can be grounded in the data."

Engaging in this shift and taking advantage of new innovations in the coming months will prove essential for businesses wishing to make data insights available to more teams and colleagues.

But Paolo Sabatinelli, Chief Product Officer at Italy's leading digital property portal, Immobiliare.it, explained that a degree of caution is needed: "I do have reservations about making analytics too easy. We need to ensure there are checks and balances so that people who aren't experienced at working with data don't make unintentional mistakes. We know AI isn't always accurate, so there needs to be a data savvy person in the process, and a way to double check the AI's work."

Product teams, marketers and executives at 8,000 of the world's leading digital firms can query their user data with natural language chat

Mixpanel's incorporation of OpenAI's GPT-3.5 Turbo allows accuracy to be validated and prioritizes privacy

Mixpanel, the event analytics* pioneer, has integrated generative AI so companies can 'chat with their data'. The move makes it easier for companies to quickly understand the impact that product and marketing decisions have on their customers' experience and their company's bottomline. Mixpanel's application of generative AI allows queries built by AI to be reviewed so people can understand the source and accuracy of the report created, without the need to expose their proprietary data to the Large Language Model (LLM).

Now, anyone using Mixpanel can clearly understand every customer's experience by asking plain English questions to OpenAI's 'GPT-3.5 Turbo' model, removing yet another barrier for companies that want to understand how people use their apps.

For example, a non-technical employee at a ride hailing firm might ask: "Which group of users most frequently convert when we apply surge pricing across our key markets?" A marketer can quickly understand trends relating to advertising spend or a salesperson can see changes in revenue over time. Generative AI builds the required query, which is executed in Mixpanel, returning the relevant chart in an instant to visually display conversion trends for different cohorts across different markets.

Amir Movafaghi, CEO, Mixpanel said: "Generative AI is the next interface to computing, and it's unlocking huge productivity gains. In our world, this means it's much easier for anyone to query their data in plain English by asking the AI a question. Making analytics accessible, so literally everyone can participate, will significantly improve decision making across companies."

Prioritizing privacy and validating accuracy
Despite the huge opportunity generative AI represents, it isn't always accurate. That's why Mixpanel queries built using generative AI allow people to check the source of their answer to understand how a report was generated. While the AI feature will be made available to all Mixpanel users, it will also be optional, so people can choose to build queries using AI or continue with the existing user interface.

Mixpanel is trusted with user behavior data and provides insights to 8,000 paying customers, including large enterprises and the world's most successful digital leaders, such as CNN, Uber and Yelp! That's why Mixpanel's introduction of generative AI prioritizes privacy. Mixpanel customers will not need to contribute their data to the Large Language Model, instead the AI increases the speed and ease with which queries are built, and it's Mixpanel that actually analyzes the underlying data.

"Generative AI is a bit like electricity, you can build it into other products to make things faster and easier. We're using it to speed up workflows and simplify how people ask questions of their data. But this is just the start, and we expect LLMs will enhance analytics for years to come." added Movafaghi.

Traditionally, data analysts using Business Intelligence tools needed to write complex SQL queries when analyzing data, a requirement that made analytics a niche discipline and prevented companies from getting fast answers from data at scale. Mixpanel changed this with its event-based analytics system, which non-technical employees use to ask questions of their data with drop-down menus. The introduction of generative AI reimagines the data analytics process again, so anyone can use Mixpanel to support better decision making by easily asking questions of their data.

The new Mixpanel generative AI interface is currently being used by a select group of customers as part of a closed Beta program. The capability will be made available as an optional interface, at no additional cost, to all Mixpanel users over the coming weeks.