Adobe Expands AI Agentic Offerings, Adds New Agent Capabilities in Adobe Experience Platform

• Adobe unveiled Product Support Agent, a new AI Agent in Adobe Experience Platform which helps marketers and experience teams resolve issues impacting marketing workflows
• Product Support Agent is the latest addition to Adobe’s suite of purpose-built AI Agents; it joins the now generally available Data Insights Agent, which simplifies the process of deriving insights from customer data in Customer Journey Analytics
• Product Support Agent and Data Insights Agent are powered by Adobe Experience Platform (AEP) Agent Orchestrator, which allows businesses to build, manage, and orchestrate AI agents across Adobe and third-party ecosystems

Today, Adobe (Nasdaq:ADBE) announced several updates to Adobe’s agentic functionality, including Product Support Agent, a net-new agent which provides an interactive, and guided way for marketers and customer experience professionals to diagnosis and resolve issues impacting marketing workflows in Adobe Experience Platform applications. As part of this expansion, Adobe is also announcing the general availability of Data Insights Agent, the first agent built on the Adobe Experience Platform Agent Orchestrator, which provides the foundation for businesses to orchestrate purpose-built AI agents that engage directly with customers and support the daily work across Adobe applications and third-party ecosystems.

Product Support Agent is designed to support marketing and customer experience teams in their Adobe Experience Platform applications by providing an interactive way to troubleshoot, diagnose, and escalate issues. Too often, marketers experience operational roadblocks that can interrupt workflows and pull their focus away from strategic, high-impact work. Troubleshooting application issues and managing support tickets, can be time-consuming and distract from core responsibilities as they often involve cross-functional inputs and collaboration, and can mean tracking down fixes that require navigating complex workflows and technical documentation, distracting them from core responsibilities. By delivering in-the-moment troubleshooting guidance and case management, Product Support Agent enables faster resolutions and greater operational efficiency.

As soon as a user asks for help with creating a support ticket within the AI Assistant conversational interface, the Product Support Agent gathers relevant contextual data from the environment automatically—logs, metadata, user session details, and more—and accurately pre-fills the support case, which the user can review before submitting. This ensures critical information is captured from the start and enables the agent to handle triage-level tasks like ticket categorization, prioritization, and context gathering, so support teams can begin working on the issue earlier with no delays.

Users can also get real-time status updates for of any open ticket directly through the same AI Assistant interface, without switching tools or logging into separate portals. Product Support Agent will soon be able to provide proactive notifications whenever there’s a change in case status. This reduces follow-ups and means support case requesters can be alerted as soon as there’s progress, allowing them to communicate confidently with stakeholders and stay in control of the support experience.

As part of this expansion, we are also announcing the general availability of Data Insights Agent, the first agent built on the Adobe Experience Platform Agent Orchestrator. Data Insights Agent allows users to query data directly using natural language, just simple questions like “What channels drove the most conversions last week?” and in an instant the Data Insights agent builds the visualization in the Analysis Workspace within Adobe Customer Journey Analysis.

Data Insights Agent not only simplifies insight generation for marketers by allowing them to query their data in natural language and generate visualizations from scratch, but also lets you make changes to previously built visualizations and build analysis iteratively.

“Adobe’s Data Insights Agent will be a major unlock for our organization, shortening the time it takes to find and deliver actionable insights,” said Lokesh Alluri, digital and marketing analytics manager, Lenovo. “By streamlining time-intensive workflows, from reporting to forecasting, we can ensure that every stakeholder has timely data to drive initiatives that enhance customer satisfaction.”

Experience Platform Agents are built for a new era of work where AI is powering creativity and marketing execution to help teams move faster, work smarter, and stay in control. Agentic AI will never replace human expertise, but it can certainly work alongside experts to help create more capacity so they can focus on creative solutions that will drive greater business impact than ever before.

Infosys Launches AI-Amplified Marketing Suite Infosys Aster™

Infosys, today announced the launch of Infosys Aster™ – a set of AI-amplified marketing services, solutions and platforms that deliver engaging brand experiences, enhanced marketing efficiency, and accelerated effectiveness for business growth. It drives AI-led transformation of marketing with integrated, real-time view across customers, brands and channels, enabling companies to increase ROI from marketing. With creative services, experience design, digital commerce, MarTech orchestration, performance marketing and marketing operations, Infosys Aster™ brings agility to the marketing value chain for B2B and B2C brands. With Infosys Aster™, global brands have realized up to 50% increase in repeat buyers, 30% improvement in the cost of marketing operations, and 40% increase in sales.

Deliver Engaging Brand Experiences: Infosys Aster™ delivers lasting connections with its human experience design approach amplified by the power of technology. Utilizing advanced technologies like real-time Unreal Engine 3D, AR/VR/XR, and digital twin CGI modeling, it delivers immersive experiences that foster customer intimacy. By taking advantage of AI-powered customer and marketing data platforms, it enables brands to unlock insights from data while also drawing on the power of ecosystems to deepen omnichannel engagement. For example, as the creative partner for an international racing giant, Infosys Aster™ created a holistic digital ecosystem – with compelling visual experiences that were highly customized for user groups – to boost engagement. Taking advantage of a dynamic content engine along with a simple ticketing system, Infosys Aster™ helped the business turn millions of fans into lifelong customers.

Enhance Marketing Efficiency: Infosys Aster™ combines gen AI-amplified content and creative services, intelligent recommendations from the MarTech stack, and marketing insights to deliver cost-effective campaigns faster. It also boosts efficiencies through marketing shared services by centralizing and automating content and design operations, reducing time and cost to activate campaigns. The suite’s AI capabilities, powered by Infosys Topaz™, help brands improve channel efficiencies by analyzing performance data and adapting strategies in real time. For example, a global health-tech company took advantage of Infosys Aster™ to accelerate their campaign management cycles – from setup to execution for 80+ markets driving savings in cost of operations.

Accelerate Effectiveness for Business Growth: Infosys Aster™ helps businesses create shared digital foundations, by integrating MarTech and enterprise systems, to create new avenues to value for sales and marketing. AI-driven analytics and customer insights help marketers increase customer lifetime value by personalizing outreach, nurturing meaningful conversations, and garnering high-quality leads. This supports brands in driving effective lead-generation campaigns, marked by better cross-sell and up-sell opportunities. Marketers can also capture demand and nurture repeat purchases with the suite’s real-time recommendations based on customer behavior. Predictive insights also help in influencing pricing strategies. For example, a retail chain used AI-amplified insights from Infosys Aster™ to develop their app-based promotional loyalty program that resulted in sales boost for them. The digital commerce platform, integral to Infosys Aster™, has a proven record in shaping e-commerce as an enterprise growth-lever.

Infosys Aster™ offers a range of powerful features to enhance marketing efforts and drive business growth:

1. Personalization: Tailor content and experiences for individual customers based on their preferences, behavior, and demographics.
2. Predictive Analytics: Leverage AI to forecast trends, identify opportunities, and optimize marketing strategies.
3. Automated Campaigns: Streamline marketing workflows with automated campaign creation, execution, and tracking.
4. Customer Journey Mapping: Visualize and optimize customer interactions across touchpoints.
5. Data Insights: Gain actionable insights from data analytics to refine marketing tactics.
6. Content Recommendations: Deliver relevant content to users at the right time.
7. Multi-Channel Engagement: Reach customers through various channels (web, mobile, social media, email, etc.)

Compatibility with existing marketing tools

Infosys Aster™ is designed to integrate seamlessly with existing marketing tools. Its flexible architecture allows it to connect with various systems, including customer relationship management (CRM) platforms, email marketing tools, analytics solutions, and more. By leveraging APIs and data connectors, marketers can enhance their workflows and leverage the power of Infosys Aster™ alongside their existing technology stack.

Satish H C, EVP and Co-head of Delivery, Infosys, said, “Our clients want to tap into new avenues of growth, while deepening customer intimacy, efficiently, in near-real time. They understand the role that modern agile marketing, enabled by data and AI, can play to accelerate their strategy and disintermediate execution. Infosys Aster™ helps our clients’ marketing organizations master the duality of marketing effectiveness and marketing efficiency to truly transform into customer-champions and growth-partners.”

“Businesses need marketing to be their core engine for reimagining customer experience and driving growth. In the era of AI-first enterprise transformation, CMOs have a unique opportunity to be the true C-Suite partner and orchestrator of value across the organization,” said Sumit Virmani, EVP and Global Chief Marketing Officer, Infosys. “At Infosys, we count on AI to amplify our capabilities – deepen brand experiences while driving effectiveness and efficiencies. We know that Infosys Aster™ – the same AI-amplified services, solutions and platforms that delivers value for us – can transform marketing into the powerful growth engine CMOs need for it to be.”

Peter Bendor-Samuel, Founder & CEO, Everest Group, said, “AI presents immense value to marketers, from driving hyper personalization to promising enhanced efficiencies and effectiveness across insights generation, creative workflows, and customer support. This is enabling marketers to not only glean productivity improvements, but also drive growth mandates. This journey is best enabled by partnering with a service provider that brings together strong tech capabilities with a deep understanding of the marketing domain. Infosys Aster’s AI-led marketing capabilities, coupled with Infosys’ experience of driving marketing and experience transformations, is well positioned to serve the needs of progressive marketers.”

Infosys Aster™ has nurtured best-in-class digital agencies, proven AI capabilities, deep industry experience, decades of delivery excellence and a diverse partner ecosystem. WongDoody, Infosys’ creative digital innovation agency, brings together unique capabilities in creative consulting, experience design, immersive experiences, and future-proof marketing. Infosys Aster™ uses the AI and gen AI capabilities of Infosys Topaz™ in a ‘responsible by design’ approach to amplify marketing capabilities and enhance effectiveness of the function. Infosys’ deep industry experience and expertise in connecting the complex enterprise ecosystem to the customer facing marketing function, while managing organizational change, helps CMOs achieve strong business impact. With over 350 global awards, 20+ design studios, 50+ partners, and 400+ marketing assets including use cases, solutions, and platforms, Infosys Aster™ is accelerating experience, efficiency, and effectiveness for B2B and B2C marketers globally.

Björn Schick, Chief Experience Officer and Member of the Executive Board, smart Europe GmbH, said, “At smart Europe, we share a similar value set with our strong partner Infosys Aster™, which prioritizesthe individual customer experience thanks to sustainable concepts and the appropriate use of technology. In today’s dynamic digital landscape, smart must secure a strong presence to connect with customers at every touchpoint. Infosys’ human-centered design studio, WongDoody, has developed a performative 3D digital twin-based platform for us. This platform creates personalized customer journeys with our vehicles, enhancing the experience and unlocking new creative possibilities with gen AI. It simplifies and economizes the production of on-demand personalized visual content, increasing our flexibility to present and promote our brand and its growing product portfolio effectively to customers worldwide.”

“Infosys Aster™ is bringing expertise to help us reimagine, engineer, and activate best-in-class omnichannel experiences for our customers, partners, and prospects enabling them to quickly access the relevant and up to date information they need. We see the potential of AI to amplify these capabilities and significantly raise the bar in the delivery of personalized content, ensuring predictability of engagement. We are elevating the way we connect with our customers and how our customers connect with us,” said Tom Portman, Group VP, Online Transformation and Group Head of Digital Channels, ABB.

To know more, please visit: Infosys Aster™

Axilor Incubated Marax AI Launches Goal Based User Retention Platform with Funds from Zeroth.AI and Artesian VC

California and Bangalore-based marketing automation startup Marax AI has launched a goal based user retention and engagement platform which allows brands to retain and engage their users with personalized delightful experiences in real time; driving higher conversions and more meaningful engagements.

The platform is meant for broader set of e-commerce customers as the startup claims to have 9% reduction in churn for one of its customers, DailyNinja.

Marax is incubated at Axilor, a startup accelerator as well as early stage seed fund founded by Infosys co-founders Kris Gopalakrishnan and SD Shibulal.

Marax platform works on making user engagement more relevant and as personalized communications is becoming a key differentiator for making buying decisions, the platform by Marax focus on long-term user happiness, depending on industry.

According the startup, "Currently the market lacks a tool which optimizes for user intent and business goals simultaneously. For example - optimizing for a user’s intent to purchase a particular product with a personalized offer while also satisfying marketing budget constraints at the same time. And this is where Marax AI comes in."

[caption id="attachment_127871" width="537" align="aligncenter"] Raman Shrivastava - Founder/CEO - Marax[/caption]

The Artificial Intelligence (AI) engine at Marax works by monitoring millions of real-time data points of the critical moments in the user’s lifecycle and their interaction with retention and engagement campaigns to build a deep understanding of user behaviours with your product or service and then engage them through a multi-step recommendation process with the most relevant experiences at the right time through the customer’s preferred channels of communication to maximize long-term user satisfaction.

Started by Raman Shrivastava, Sumant US and Prateek Gupta in 2016, Marax is a goal based user retention and engagement platform which takes both - the company’s business objectives and customer motivations into consideration making every interaction with the brand a meaningful one.

Marax has raised an undisclosed pre-seed round from Zeroth, Artesian VC and a series of angel investors. The company is currently in talks to raise another round of funding and they will use the new funds to strengthen their ML and AI offerings, expand their team and expand aggressively across international markets.

To ensure that brands only send the most personally relevant notifications to users, notifications are matched to users using machine learning models in a multi-step process. Traditionally, supervised learning models have been used for predicting click through rate (CTR) and likelihood that the notifications lead to meaningful interactions.

This however, doesn’t capture the long term or incremental value of sending notifications. There can be some signals that appear long after and cannot be attributed directly to the notification.

Supervised learning systems typically generate predictions, but then require data analysts and product managers to make sense of these predictions and craft a strategy to take actions.

Marax’s feedback driven learning systems, on other hand, can create systems that make decisions, take actions and improve based on the feedback they receive. With these implicit feedback driven systems, they have observed a significant improvement in overall long-term reward.

This approach also moves away from the traditional methods of rule based and event based triggered retention marketing campaigns optimized for immediate rewards such as a higher CTR, delivering results visible in the form of reduced churn rates, higher retention and better engagement metrics for brands.

The team currently consists of AI researchers, Data Scientists and software developers working in tandem with marketers and industry veterans, reminiscent of scenes from Mr. Robot.

Raman Shrivastava, CEO of Marax puts it, “We are building our way to the end of segmentation. Every customer is unique and they should be treated that way. We make this possible with automated and optimized actions delivery moving beyond just predictions while also taking into consideration, business constraints"

The company is currently running trials with their existing set of early adopters within the consumer internet space to gather feedback and refine their algorithms while also adding more integrations with the third party tools that their clients work with.

“Thanks to Marax, in just one one month of working together, we boosted user engagement and have been able to reduce our monthly churn rate by 9% ” Sushant- Product Manager at DailyNinja , Sequoia funded startup and one of Marax’s early adopters.

“Raman and the Marax team are one of the top customer and product-focused teams we have seen. Their customers love them because they take feedback well, treat those relationships sacred, and their success shows for it.” - Tak Lo, Partner, Zeroth.AI and one of Marax’s early investors.

“Kudos to Raman and team at Marax at having identified a potent technology in form of deep learning for user analytics, primarily retention. The use of deep learning combined with unique domain driven data strategy gives them better accuracy over conventional models.” - Dr.Srinivas Padmanabhuni, PhD. in Artificial Intelligence from University of Alberta, who advises Marax on their AI strategy and architecture.

Marketing Automation - How to make it work for you [Infographic]

Marketing automation refers to software platforms and technologies designed for marketing departments and organizations to more effectively market on multiple channels online (such as email, social media, websites, etc.) and automate repetitive tasks.

Marketing automation has range of benefits, including improving the quality and quantity of lead. It helps improve the customer experience online, making customers more likely to buy, stay loyal, and become advocates. Some of the most used marketing automation tools used in companies, organizations and startups are - Marketo, Constant Contact, HubSpot and Eloqua.

A study founds that for companies using marketing automation 44% are likely to see ROI within 6 months and 77% are likely to see ROI within one year of implementation.

Team at Adeccousa decided to take a look at the best ways to implement it in order for a business to actually make money out of it, while attracting more quality leads.



By 2015, the use marketing automation technologies is expected to increase by 50%.