#Adobe Orchestrator AI

[ailatestupdate]

Adobe Orchestrator AI is a cutting-edge AI agent designed to revolutionize automation, creativity, and digital workflows. With advanced machine learning, it seamlessly integrates AI-driven processes, enhancing efficiency for businesses and creators. Stay ahead with the future of AI-powered automation!

[yfthg]

The Top CX Platforms Revolutionizing Electric Vehicle Customer Experiences

NUMR CXM: Powering Predictive and Connected CX for EV Brands

NUMR CXM stands out as a leading AI-powered CX platform that empowers EV companies to deliver hyper-personalized, real-time, and omnichannel experiences across the entire customer lifecycle. From onboarding to after-sales service and charging ecosystem engagement, NUMR integrates predictive analytics, NPS intelligence, and workflow automation to anticipate customer needs and improve loyalty.

Its strengths for EV players include:

Real-time customer sentiment tracking

Predictive churn modeling

Journey automation for test drives, service reminders, and charging feedback

Integrated CX insights across app, dealership, and digital touchpoints

Why CX is Vital in the Electric Vehicle Industry

Electric vehicle (EV) customers expect:

High digital maturity from brands

Seamless and proactive service coordination

Transparent updates on charging, performance, and maintenance

Personalized communications post-purchase

Top EV brands use CX platforms to differentiate through consistent experiences, ensuring better customer retention, brand advocacy, and lifetime value.

Top CX Platforms Driving the EV Experience Transformation

1. NUMR CXM

Best For: Predictive engagement & automation

Core Strengths: AI-led churn prediction, NPS, journey orchestration

Use Cases: Post-service feedback loops, charge station surveys, service ticket closure experience

2. Salesforce Automotive Cloud

Best For: Full-stack CRM & CX in automotive

Core Strengths: Customer 360, loyalty tracking, integration with marketing journeys

Use Cases: Test drive tracking, financing communications

3. Qualtrics XM for Automotive

Best For: Experience management analytics

Core Strengths: VoC data collection, emotional engagement mapping

Use Cases: Post-purchase satisfaction surveys, dealer feedback automation

4. Zendesk

Best For: Streamlined EV customer support

Core Strengths: Omnichannel helpdesk, live chat automation

Use Cases: Real-time complaint resolution, chatbot-based troubleshooting

5. Medallia

Best For: Customer behavior prediction and alerting

Core Strengths: Text analytics, journey alerts, real-time feedback

Use Cases: Charging infrastructure feedback, dealership experience tracking

6. Freshdesk (by Freshworks)

Best For: Mid-market EV start-ups

Core Strengths: Scalable customer support, AI bots

Use Cases: Product onboarding, maintenance queries

7. Sprinklr

Best For: Social listening + customer experience

Core Strengths: Multichannel engagement, sentiment tagging

Use Cases: Brand perception management, customer community responses

8. Genesys Cloud CX

Best For: Omnichannel contact centers

Core Strengths: Predictive routing, voice of customer insights

Use Cases: Voice-based support, appointment confirmations

9. Oracle CX Cloud

Best For: Enterprise-grade data-driven CX

Core Strengths: Integrated with ERP, advanced AI analytics

Use Cases: Customer lifetime value modeling, fleet service CX

10. Adobe Experience Cloud

Best For: EV brands focused on digital experience

Core Strengths: Personalization engine, behavioral data mapping

Use Cases: Targeted EV campaign journeys, customer web behavior tracking

India & Global GEO Focus: EV CX Trends

In fast-growing EV markets like India, China, and the EU, top brands are investing in localized CX platforms to provide region-specific language support, charging network feedback, and mobile-first journeys. Platforms like NUMR CXM are proving especially effective in these geographies due to their multi-language NPS engines and plug-and-play integrations with app-based EV ecosystems.

FAQs: CX in the EV Sector

Why is CX important for EV manufacturers?

EV customers require a tech-driven experience across digital and physical touchpoints. Great CX ensures higher retention, loyalty, and differentiation in a competitive market.

What makes NUMR CXM a top choice for EV brands?

NUMR delivers real-time, predictive, and automated engagement that aligns with the connected and digital-first nature of EV customers.

How can automation improve EV CX?

Automation ensures timely service reminders, proactive charge notifications, feedback collection, and faster issue resolution.

Are these platforms scalable for small EV startups?

Yes. Platforms like NUMR, Freshdesk, and Zendesk offer flexible plans tailored to growing EV startups.

Final Thought

The future of EV growth hinges not just on technology, but on experience. With intelligent CX platforms like NUMR CXM, EV brands can unlock customer delight through smart automation, sentiment insight, and truly personalized journeys.

[dluxtechpvtlimited]

Coca‑Cola, JPMorgan, Marriott... and Agentic AI? Inside the Agentic Future of Martech

Have you ever paused midswipe through your martech dashboard, wondering: Who—or what—just launched that campaign?

You didn't click "Go," yet the audience is live, content is optimized, and A/B tests are rolling—all without you lifting a finger.

That surreal moment is the real-world debut of Agentic AI—not a passive assistant waiting for commands, but an autonomous teammate that thinks, adapts, and acts.

At Adobe Summit 2025 in Sydney, this wasn’t just a product pitch—it was a paradigm shift. Luxman Pai and DLUX crew came back electrified by one theme: Agentic AI

Our CEO, Luxman Pai , shared, this was the standout takeaway, and he was genuinely "super excited" about the cutting-edge innovations and how ready these tools are for real-world use.

“Agentic AI… now that’s exciting,” echoed a voice from the floor on LinkedIn.

The energy from the floor, the buzz online, and the innovative tools showcased all point to one thing: Agentic AI is ready to change the game. It’s not just evolving martech workflows; it’s revolutionizing how marketing gets done.

Big-Name Moments from Summit 2025

Adobe put Agentic AI front and center, supported by its Agent Orchestrator and ten purpose-built agents. But the real-world impact shone brightest through bold brand stories:

The Coca-Cola Company's CEO James Quincey joined Adobe CEO Shantanu Narayen on stage, spotlighting how Coke uses Adobe’s tools to create hyper-localized campaigns for over 200 brands—powered by generative and agentic AI.

At JPMorganChase, CEO Jamie Dimon shared how Adobe-fueled automation runs deep in their AI stack of 2,000+ data scientists, helping them cut prospecting costs by tenfold.

Marriott International’s VP Hillary Cook revealed how their teams are unlocking Shutterstock-level speed in segmentation and personalization using Brand Concierge agents.

ServiceNow's CMO Colin Fleming championed brand-led automation, showing how Agentic AI merges creativity with streamlined execution across B2B workflows.

The Rise of the Agentic AI

Picture this: You log into your Martech platform, expecting to plan your next campaign. But everything’s already done. The audience is defined. The content is tailored. Tests are running. Performance’s being optimized in real-time.    And you didn’t click a thing.

Sounds like science fiction? It’s not. Welcome to the era of Agentic AI.

This isn’t just automation that follows instructions—it’s AI that takes the lead. Not a silent assistant waiting for input, but a smart partner that understands goals, makes decisions, and acts on them. It’s a shift from doing things faster… to thinking smarter.

Agentic AI is changing the game in Martech—evolving from basic task automation into something that feels more like a strategist in its own right. One that collaborates, adapts, and sometimes even surprises you.

Step 1: From Hyperautomation to Autonomy

Hyperautomation tools have been great at speeding up admin tasks—email triggers, report exports, A/B testing workflows.

But Agentic AI flips the script: it builds campaigns, creates audiences, analyzes performance—and can even launch experiments—on its own, orchestrated via a reasoning engine that links multiple agents together

👉 Quick interactive thought: “What if your marketing stack could ideate, create, launch, analyze, learn, and optimize—without you stepping in?”

Step 2: Meet the Purpose-Built Agents

Adobe’s 2025 Summit spotlighted ten such agents within Experience Platform—four key ones include:

Audience Agent – builds and refines segments for personalization

Data Insights Agent – digests analytics and uncovers story-worthy trends

Experimentation Agent – ideates A/B tests, runs them, reports findings

Product Advisor Agent – delivers product discovery experiences tailored to customer profiles.

These agents form a dynamic toolkit—a collaborative AI ecosystem that works for the marketer, not just at the marketer.

Step 3: The Orchestrator—Your AI Manager

At the core is the Adobe Experience Platform Agent Orchestrator, a reasoning engine that determines which agents, in what sequence, should achieve a specified goal. Think of it as central AI command: you define what you want; it figures out how to get it done.

Why This Matters for Marketers

Scale without sacrifice – Now you can run personalized experiences at scale without ballooning your team.

Shift focus to strategy – Human creativity can focus on brand voice, storytelling, and innovation—while agents handle the heavy lifting.

Faster insights, faster action – Agents analyze in real time and take the next best action, exponentially increasing speed-to-market.

Data-powered autonomy – With high-quality data as fuel, agent orchestration can become a self-driving marketing engine.

Interactive pause: How could Agentic AI support your next campaign—say, a holiday launch or product roll-out?

True Autonomy or Hyperautomation 2.0?

You decide. Agentic AI redefines hyperautomation: it's not just about automating tasks, but autonomously executing strategy. Marketers become showrunners, orchestrating intelligent agents to bring ideas to life.

Thanks to insights from Adobe Summit 2025, it’s clear: Agentic AI has arrived—and it’s charging right at the heart of martech.

What do you think the first tasks you'd hand over to an AI agent would be? Drop your ideas below—we’d love to discuss!

At DLUX, we’re proud to be an Adobe Bronze Partner, helping brands unlock the full potential of the Adobe ecosystems.

📩 Let’s connect — reach out at sales@dluxtech.com to explore how we can support your marketing transformation.

#DLUX #AgenticAI #Martech #AdobeSummit2025 #AIRevolution #MarketingInnovation #FutureOfMarketing #CocaCola #JPMorganChase #Marriott #ServiceNow #Sydney #Adobe #AgenticAI #AIinMartech

[altdigitaltechnologies]

Top Platforms Enterprises Are Switching to in 2025

A Strategic Look at What’s Powering the Next Wave of Digital Transformation

According to our further move into 2025, the enterprise technology sphere is massively changing. Companies do not expect to be content anymore with the legacy platforms that provide inflexible silo solutions. They are instead going to the latest, cloud-native, artificial intelligence-enriched platforms that drive agility, scale, and customer-centric innovation.

We at Alt Digital Technologies are partnering with progressive businesses that are transitioning through this transformation. In our experience in the industry, these are the best platforms to which organizations are currently migrating in 2025, and the reason why these platforms are taking the lead.

1. commercetools – The Rise of Composable Commerce

With monolithic eCommerce systems starting to display their weakness, companies are turning toward commercetools, due to its headless/ API-first features. It provides the opportunity to create unique storefronts, connect new services fast, and provide their customers with omnichannel experiences.

Why enterprises are switching:

True composability for rapid experimentation

Seamless integration with CMS, ERP, CRM

Ideal for global commerce scalability

Alt Digital Insight: As a team of commercetools experts, we are supporting brands in starting to move beyond out-of-the-box eCommerce designs to more tail objet-oriented, top-performing digital shops.

2. Salesforce Industries (Vlocity) – Personalized Engagement at Scale

Salesforce still defines the CRM sector, but it is its industry cloud products (such as Vlocity) that are attracting the attention of big enterprises in 2025. Whether in financial services or telecom, they provide domain capabilities that are deeply coupled with the power of Salesforce data and AI.

Why it’s trending:

Industry-tailored data models and workflows

Built-in AI for guided selling and service

Faster time-to-market for CX innovations

Alt Digital Insight: Our area of expertise is to tailor Salesforce Industries so that businesses can get the most out of automation, compliance, and personalization of customers.

3. Adobe Experience Platform (AEP) – The Experience Data Powerhouse

Adobe Experience Platform is gaining some popularity as the customer data serve as the foundation of the marketing and CX strategies. AEP is a point where data of various sources can be centralized, subject to real-time intelligence, and drives continuous customer smooth, personalization.

Why it’s rising:

Unified customer profiles with real-time updates

Integration with Adobe Campaign, Target, and AEM

Scalable AI-driven personalization

Alt Digital Insight: We are an Adobe Experience Cloud partner. This is why we assist brands in unleashing the full power of AEP transforming disjointed data into linked experiences.

4. SAP S/4HANA Cloud – The New Core of Digital ERP

The ease of doing business, its intelligent automation, and real-time analytics are fast decommissioning legacy ERP systems in favor of SAP S/4HANA Cloud. Later in 2025, S/4HANA is being migrated by many large enterprises in their digital core transformation.

Why it matters:

Real-time data for faster decisions

Embedded AI for predictive insights

Seamless integration with supply chain, finance, HR

Alt Digital Insight: We also use custom workflows to support the needs of larger enterprises, and our ERP experts can make the migrating to S/4HANA effortless.

5. ServiceNow – Reimagining Digital Workflows

Companies are putting on ServiceNow to automate and streamline the mundane workflows inside and outside. ServiceNow has end-to-end visibility and efficiency, supplemented by a strong low-code platform, in all aspects of IT operations, customer service and beyond.

Why it’s winning:

Unified platform for ITSM, HR, and CX operations

AI-powered automation and workflow orchestration

Scalable for global enterprise needs

Alt Digital Insight: We also enable clients to digitize their operations and diminish friction in business processes with the help of modular capabilities of ServiceNow.

6. Microsoft Power Platform – Low-Code Revolution in Action

As digital agility has become a central enterprise objective, Microsoft Power Platform (Power BI, Power Apps, Power Automate, and Power Virtual Agents) is allowing citizen development in ways it has never been done before.

Why it’s popular:

Democratizes app development across teams

Strong integration with Microsoft 365 and Azure

Speeds up automation and data visualization efforts

Alt Digital Insight: We help organizations develop enterprise level apps and workflows to help them move faster with making decisions and to make them less manual.

7. Kubernetes & Cloud-Native Ecosystems (AWS, Azure, GCP)

Digital transformation is based on cloud-native infrastructure. Businesses are adopting Kubernetes and AWS, Azure, and Google cloud services to construct scalable, resilient, and modern applications architecture.

Why it’s foundational:

Enables microservices, containerization, and CI/CD

Greater scalability, cost-efficiency, and uptime

Supports innovation velocity with DevOps best practices

Alt Digital Insight: Our cloud engineering and DevOps professionals assist companies to modernize existing systems and enable businesses to run scalable and safe solutions.

Final Thoughts: The Shift Is Strategic, Not Just Technological

Not only do all these platforms possess superior technology, but they also have something in common, which is business agility, data intelligence, and user-centered design. They are not only implementing tools, but they are creating digital ecosystems that can change with their customers and markets.

We not only implement things at Alt Digital Technologies, but we are partners in transformation. Whatever the force to change the platform to the headless commerce model, unleash the potential of AI in CRM, or re-architect your data layer, our expertise is comprehensive to ensure your platform shift turns out to be a success.

[infernovm]

Adobe adds Product Support Agent for AI-assisted troubleshooting

Expanding its planned suite of AI agents, Adobe introduced the new Product Support Agent, intended to simplify troubleshooting and support case management in the Adobe Experience Platform for managing customer experiences. Announced June 4 and powered by the now-available  Adobe Experience Platform Agent Orchestrator, the Product Support Agent is intended to lighten operational troubleshooting by…

[cybersecurityict]

Artificial Intelligence In Marketing Market Size, Share, Analysis, Forecast, and Growth Trends to 2032: Consumer Behavior and Adoption Patterns

The Artificial Intelligence In Marketing Market was valued at USD 17.2 billion in 2023 and is expected to reach USD 140.1 billion by 2032, growing at a CAGR of 26.25% from 2024-2032.

Artificial Intelligence in Marketing Market is experiencing a major upswing as businesses increasingly adopt AI tools to personalize content, automate customer interactions, and optimize campaign strategies. From predictive analytics to generative AI, the technology is transforming how brands connect with consumers across digital platforms, especially in the USA and Europe where adoption is surging across industries.

Artificial Intelligence Revolutionizing the US Marketing Landscape: Market Trends and Growth Insights

the U.S. Artificial Intelligence In Marketing Market was valued at USD 4.7 billion in 2023 and is expected to reach USD 37.5 billion by 2032, growing at a CAGR of 25.96% from 2024-2032.  

Artificial Intelligence in Marketing Market is being propelled by the need for real-time insights, customer segmentation, and hyper-targeted advertising. With AI seamlessly integrating into CRMs, social media platforms, and email marketing tools, marketers are unlocking new levels of efficiency and engagement while reducing manual workload and increasing ROI.

Get Sample Copy of This Report: https://www.snsinsider.com/sample-request/6611  

Market Keyplayers:

Google LLC – Google Ads

IBM Corporation – Watson Marketing

Microsoft Corporation – Dynamics 365 Marketing

Amazon Web Services (AWS) – Amazon Personalize

Adobe Inc. – Adobe Sensei

Oracle Corporation – Oracle Eloqua

Salesforce Inc. – Salesforce Marketing Cloud

Meta Platforms, Inc. – Meta Advantage+

SAP SE – SAP Emarsys Customer Engagement

HubSpot, Inc. – HubSpot Marketing Hub

H2O.ai – H2O Driverless AI

CognitiveScale Inc. – Cortex AI

Persado Inc. – Persado Motivation AI

Mailchimp (Intuit Inc.) – Mailchimp Smart Recommendations

Drift.com, Inc. – Drift Conversational Marketing Platform

Market Analysis

The market is being shaped by the exponential growth of digital data and the demand for personalized, responsive consumer experiences. Businesses are investing in AI to automate decision-making, forecast customer behavior, and deliver content at the right moment. In the USA, tech giants are driving widespread adoption, while European markets are focusing on AI ethics and regulatory compliance, creating a balanced ecosystem of innovation and responsibility.

Market Trends

Rapid adoption of generative AI tools for content creation

Integration of AI chatbots in customer service and lead generation

Predictive analytics for customer journey optimization

Real-time A/B testing and automated campaign adjustments

AI-enhanced SEO and voice search targeting

Computer vision for visual content recognition and engagement metrics

Ethical AI and data transparency initiatives in Europe

Market Scope

AI in marketing is expanding across B2B and B2C sectors, enabling smarter campaign execution and real-time consumer insights. The market is not just about automation—it’s about innovation, personalization, and performance at scale.

Hyper-personalized email and ad campaigns

Real-time customer sentiment analysis

AI-driven CRM and lead scoring

Automated social media content scheduling and optimization

Cross-platform marketing performance analytics

Visual and voice search integrations

Scalable solutions for enterprises and startups

Forecast Outlook

The Artificial Intelligence in Marketing Market is poised for rapid evolution as AI capabilities become more accessible and intuitive. The focus is shifting from basic automation to intelligent orchestration—where machine learning continuously refines strategies based on performance. The USA remains a global leader in AI marketing innovation, while Europe contributes through ethical frameworks and high standards of data governance. Future growth will center on adaptive technologies that learn, scale, and evolve with shifting consumer behaviors.

Access Complete Report: https://www.snsinsider.com/reports/artificial-intelligence-in-market-6611 

Conclusion

The rise of AI in marketing marks a shift from guesswork to precision. Brands that leverage AI not only improve efficiency but also create deeper, more meaningful connections with their audiences.

Related Reports:

Analyze AI-driven innovation in the US financial technology market

Explore the US market for next-generation ICT solutions

About Us:

SNS Insider is one of the leading market research and consulting agencies that dominates the market research industry globally. Our company's aim is to give clients the knowledge they require in order to function in changing circumstances. In order to give you current, accurate market data, consumer insights, and opinions so that you can make decisions with confidence, we employ a variety of techniques, including surveys, video talks, and focus groups around the world.

Contact Us:

Jagney Dave - Vice President of Client Engagement

Phone: +1-315 636 4242 (US) | +44- 20 3290 5010 (UK)

[jcmarchi]

ServiceNow bets on unified AI to untangle enterprise complexity

New Post has been published on https://thedigitalinsider.com/servicenow-bets-on-unified-ai-to-untangle-enterprise-complexity/

ServiceNow bets on unified AI to untangle enterprise complexity

ServiceNow has opened its Knowledge 2025 conference with a brand new AI platform. The ambition is clear: to give businesses a single, coherent way to get all their different AI tools and intelligent agents working together, right across the company.

This isn’t just a fresh lick of paint; we’re talking deep-rooted new features and much cosier relationships with the likes of NVIDIA, Microsoft, Google, and Oracle. The aim? To finally help businesses orchestrate their operations with genuine intelligence, and it seems some big names like Adobe, Aptiv, the NHL, Visa, and Wells Fargo are already seeing it pay off.

Most business leaders you speak with today will tell you they’re wrestling with a tangled mess of complexity. We’ve got systems that don’t talk to each other, data all over the shop, often no real game plan for AI, and that constant pressure to do more with less.

ServiceNow believes AI innovation is the answer here, a way to fundamentally change how businesses run – making them more resilient, more efficient, and helping them get a handle on costs, all while chipping away at that mountain of tech debt and operational guesswork.

However, the company rightly points out that just throwing AI at the problem won’t cut it. You need a clear vision and a real commitment to using ‘agentic AI’ – think smart, autonomous AI helpers – all underpinned by a platform built for what’s next.

For the companies already diving in, these AI agents are apparently delivering the goods, boosting productivity in all sorts of ways. And it’s hitting the bottom line: ServiceNow’s own research, the Enterprise AI Maturity Index, shows that 55% of organisations using this kind of agentic AI have seen their gross margins improve. That’s a hefty jump compared to the mere 22% for those not yet on board.

Bill McDermott, Chairman and CEO of ServiceNow, commented: “ServiceNow is igniting a new era of enterprise transformation with the ServiceNow AI Platform. We’re unleashing the full power of AI, across any industry, any agent, any workflow.

“For decades, CEOs have wanted technology to accelerate the speed of business transformation. With this next generation architecture, we finally have the foundation to run the integrated enterprise in real time. We are the only ones who can orchestrate AI, data, and workflows on a single platform.”

It’s not just talk; some big names are already putting ServiceNow’s agentic AI through its paces:

Adobe is using it to speed up automation in IT and workplace services. Think AI agents handling common but time-consuming requests like password resets. The upshot? Fewer support tickets, quicker fixes, and happier, more productive staff. They’re also looking to add ServiceNow’s Workflow Data Fabric and RaptorDB to chew through their data even faster.

Aptiv, known for its work in critical industries, is teaming up with ServiceNow. Their new partnership aims to blend ServiceNow’s AI smarts with Aptiv’s edge intelligence to boost automation and keep things running smoothly when it really matters.

The NHL is, in their words, “going all in on ServiceNow AI.” The goal is to streamline how they operate, making life easier for employees needing quick solutions and helping arena technicians give fans an even better game day.

Wells Fargo has rolled out ServiceNow AI with RaptorDB to automate tricky workflows and process huge amounts of data in real-time. This, they hope, will lead to smarter, AI-driven decisions right across the bank.

Visa is set to bring in ServiceNow Disputes Management – a system they built together. It uses AI agents on the ServiceNow platform to help resolve payment disputes. And it seems they like what they see, as Visa plans to use ServiceNow’s AI to run its own managed dispute services.

So, what’s under the bonnet of this reimagined ServiceNow AI Platform? It’s built to bring together intelligence, data, and the actual doing – the orchestration. The idea is to help companies move beyond a few scattered AI experiments to making AI a core part of how they operate.

A big piece of this puzzle is what they call a “smart, conversational AI Engagement Layer.” This lets people get complex tasks done across different systems by tapping into ServiceNow’s Knowledge Graph, Workflow Data Fabric, and AI Agent Fabric. These clever bits are designed to connect smoothly with all sorts of enterprise data systems and AI frameworks.

This launch is clearly just the start of a whole wave of new stuff. We’re seeing expanded partnerships, literally thousands of ready-made AI agents, and the introduction of the ServiceNow AI Control Tower.

Alongside the main platform, ServiceNow is adding some additional firepower:

AI Control Tower: Think of it as a central dashboard for managing everything AI – whether it’s ServiceNow’s own AI, or tools from other providers. It’s about keeping an eye on things, making sure it’s secure, and getting real value from every AI agent, model, and workflow, all in one place. The goal is better teamwork, solid oversight, and automation that actually scales.

AI Agent Fabric: This is the communication network for a company’s AI ecosystem. It’s about getting AI agents – no matter who built them (ServiceNow, partners, or your own tech teams) – to work together smoothly across different tools, teams, and even vendors like Microsoft, NVIDIA, Google, and Oracle. They can share information, coordinate jobs, and generally get things done more effectively together.

Next-generation CRM: They’re also beefing up their Customer Relationship Management offering with more AI. The plan is to bring sales, order fulfilment, and customer service onto one platform. This means businesses can shift from just reacting to customer problems to proactively engaging with them at every stage, from quoting a price right through to renewal.

Apriel Nemotron 15B: This new reasoning LLM is built with NVIDIA. It’s designed to power intelligent AI agents that can think and act at scale, promising high accuracy, quick responses, lower running costs, and generally faster, smarter AI for everyone.

And it’s not just about the tech; ServiceNow is also doubling down on people with the launch of ServiceNow University. This is their bid to give organisations the tools to upskill their workforce, helping them not just unlock individual potential but also drive real business change.

At the end of the day, even the smartest AI needs smart people to make the most of it.

See also: UAE to teach its children AI

Want to learn more about AI and big data from industry leaders? Check out AI & Big Data Expo taking place in Amsterdam, California, and London. The comprehensive event is co-located with other leading events including Intelligent Automation Conference, BlockX, Digital Transformation Week, and Cyber Security & Cloud Expo.

Explore other upcoming enterprise technology events and webinars powered by TechForge here.

[differenttimemachinecrusade]

Performance Marketing Software Market Forecast: Challenges and Opportunities 2032

Performance Marketing Software Market was valued at USD 15.2 billion in 2023 and is expected to reach USD 30.9 Billion by 2032, growing at a CAGR of 8.23% from 2024-2032.

Performance Marketing Software Market is experiencing significant growth due to the increasing demand for data-driven marketing strategies. Businesses are focusing on measurable results, leading to a surge in adoption of performance marketing tools. Advanced technologies like AI and automation are further revolutionizing the industry.

Performance Marketing Software Market continues to expand as companies prioritize return on investment (ROI) and real-time analytics. The shift from traditional marketing to performance-based models has increased the need for AI-powered platforms that optimize ad spending and enhance campaign effectiveness. As digital marketing evolves, businesses are investing in software solutions that offer deeper insights, automation, and improved targeting.

Get Sample Copy of This Report: https://www.snsinsider.com/sample-request/3811 

Market Keyplayers:

Google - Google Analytics

HubSpot - HubSpot Marketing Hub

Salesforce - Salesforce Marketing Cloud

Semrush - Semrush SEO Toolkit

6sense - 6sense Account-Based Orchestration

AnyTrack - AnyTrack Conversion Tracking

Opteo - Opteo Google Ads Optimization

Trackier - Trackier Affiliate Marketing Platform

Cake - Cake Affiliate and Lead Generation Software

Phonexa - Phonexa Marketing Automation

Adalysis - Adalysis PPC Automation

Klaviyo - Klaviyo Email Marketing Automation

Adobe - Adobe Experience Cloud

Sendinblue - Sendinblue Email Campaigns

Mailchimp - Mailchimp Marketing Automation

ActiveCampaign - ActiveCampaign Customer Experience Automation

Unbounce - Unbounce Landing Page Builder

WordStream - WordStream PPC Management Software

ClickFunnels - ClickFunnels Funnel Builder

Sprout Social - Sprout Social Social Media Management

Market Trends Driving Growth

1. AI and Machine Learning Integration

AI-driven marketing software is transforming campaign optimization, offering predictive analytics and automated bid management.

2. Growing Adoption of Affiliate Marketing

Affiliate marketing is gaining traction, with businesses leveraging performance marketing software to track and manage partnerships efficiently.

3. Increased Demand for Multi-Channel Marketing

Brands are focusing on omnichannel strategies, utilizing performance marketing tools to synchronize campaigns across social media, search engines, and email marketing.

4. Personalization and Customer-Centric Marketing

Performance marketing software is enabling hyper-personalized advertising, enhancing customer engagement and conversion rates.

Enquiry of This Report: https://www.snsinsider.com/enquiry/3811 

Market Segmentation:

By Component

Software

Services

Integration & Implementation

Support & Maintenance

By Deployment  

Cloud

On-premise

By Organization Size

Large Enterprises

Small & Medium Enterprises

Industry Vertical

BFSI

Retail & E-commerce

Media & Entertainment

Healthcare

IT & Telecom

Travel & Hospitality

Others

Market Analysis

Surge in Digital Advertising: Businesses are increasing ad spending on programmatic advertising and AI-driven campaigns.

Growth of E-commerce: Online retailers are relying on performance marketing to optimize customer acquisition and retention.

Regulatory Compliance and Data Privacy: Companies are investing in software solutions that ensure GDPR and CCPA compliance while maintaining effective targeting.

Rising Competition Among Vendors: Leading players like Google Ads, HubSpot, and Adobe are constantly innovating to provide advanced analytics and automation features.

Future Prospects

1. Expansion of AI and Predictive Analytics

Future marketing software solutions will offer advanced AI capabilities, enabling marketers to predict trends and optimize strategies in real time.

2. Growth of Performance-Based Pricing Models

Businesses will increasingly adopt cost-per-acquisition (CPA) and cost-per-click (CPC) models, making software solutions indispensable for tracking and optimizing campaign efficiency.

3. Integration of Blockchain for Transparency

Blockchain technology will be incorporated into performance marketing software to improve transparency, prevent fraud, and enhance ad verification processes.

4. Automation and No-Code Marketing Solutions

Low-code and no-code platforms will empower businesses to execute performance marketing campaigns without technical expertise, increasing accessibility.

Access Complete Report: https://www.snsinsider.com/reports/performance-marketing-software-market-3811 

Conclusion

The Performance Marketing Software Market is rapidly evolving, driven by AI, automation, and data-driven strategies. As businesses shift towards measurable marketing models, the demand for advanced software solutions will continue to rise. Companies investing in cutting-edge technologies will gain a competitive edge, ensuring higher efficiency, transparency, and ROI in digital advertising.

 

About Us:

SNS Insider is one of the leading market research and consulting agencies that dominates the market research industry globally. Our company's aim is to give clients the knowledge they require in order to function in changing circumstances. In order to give you current, accurate market data, consumer insights, and opinions so that you can make decisions with confidence, we employ a variety of techniques, including surveys, video talks, and focus groups around the world.

Contact Us:

Jagney Dave - Vice President of Client Engagement

Phone: +1-315 636 4242 (US) | +44- 20 3290 5010 (UK)

[lowendbox]

In today’s tech landscape, the average VPS just doesn’t cut it for everyone. Whether you're a machine learning enthusiast, video editor, indie game developer, or just someone with a demanding workload, you've probably hit a wall with standard CPU-based servers. That’s where GPU-enabled VPS instances come in. A GPU VPS is a virtual server that includes access to a dedicated Graphics Processing Unit, like an NVIDIA RTX 3070, 4090, or even enterprise-grade cards like the A100 or H100. These are the same GPUs powering AI research labs, high-end gaming rigs, and advanced rendering farms. But thanks to the rise of affordable infrastructure providers, you don’t need to spend thousands to tap into that power. At LowEndBox, we’ve always been about helping users find the best hosting deals on a budget. Recently, we’ve extended that mission into the world of GPU servers. With our new Cheap GPU VPS Directory, you can now easily discover reliable, low-cost GPU hosting solutions for all kinds of high-performance tasks. So what exactly can you do with a GPU VPS? And why should you rent one instead of buying hardware? Let’s break it down. 1. AI & Machine Learning If you’re doing anything with artificial intelligence, machine learning, or deep learning, a GPU VPS is no longer optional, it’s essential. Modern AI models require enormous amounts of computation, particularly during training or fine-tuning. CPUs simply can’t keep up with the matrix-heavy math required for neural networks. That’s where GPUs shine. For example, if you’re experimenting with open-source Large Language Models (LLMs) like Mistral, LLaMA, Mixtral, or Falcon, you’ll need a GPU with sufficient VRAM just to load the model—let alone fine-tune it or run inference at scale. Even moderately sized models such as LLaMA 2–7B or Mistral 7B require GPUs with 16GB of VRAM or more, which many affordable LowEndBox-listed hosts now offer. Beyond language models, researchers and developers use GPU VPS instances for: Fine-tuning vision models (like YOLOv8 or CLIP) Running frameworks like PyTorch, TensorFlow, JAX, or Hugging Face Transformers Inference serving using APIs like vLLM or Text Generation WebUI Experimenting with LoRA (Low-Rank Adaptation) to fine-tune LLMs on smaller datasets The beauty of renting a GPU VPS through LowEndBox is that you get access to the raw horsepower of an NVIDIA GPU, like an RTX 3090, 4090, or A6000, without spending thousands upfront. Many of the providers in our Cheap GPU VPS Directory support modern drivers and Docker, making it easy to deploy open-source AI stacks quickly. Whether you’re running Stable Diffusion, building a custom chatbot with LLaMA 2, or just learning the ropes of AI development, a GPU-enabled VPS can help you train and deploy models faster, more efficiently, and more affordably. 2. Video Rendering & Content Creation GPU-enabled VPS instances aren’t just for coders and researchers, they’re a huge asset for video editors, 3D animators, and digital artists as well. Whether you're rendering animations in Blender, editing 4K video in DaVinci Resolve, or generating visual effects with Adobe After Effects, a capable GPU can drastically reduce render times and improve responsiveness. Using a remote GPU server also allows you to offload intensive rendering tasks, keeping your local machine free for creative work. Many users even set up a pipeline using tools like FFmpeg, HandBrake, or Nuke, orchestrating remote batch renders or encoding jobs from anywhere in the world. With LowEndBox’s curated Cheap GPU List, you can find hourly or monthly rentals that match your creative needs—without having to build out your own costly workstation. 3. Cloud Gaming & Game Server Hosting Cloud gaming is another space where GPU VPS hosting makes a serious impact. Want to stream a full Windows desktop with hardware-accelerated graphics? Need to host a private Minecraft, Valheim, or CS:GO server with mods and enhanced visuals? A GPU server gives you the headroom to do it smoothly. Some users even use GPU VPSs for game development, testing their builds in environments that simulate the hardware their end users will have. It’s also a smart way to experiment with virtualized game streaming platforms like Parsec or Moonlight, especially if you're developing a cloud gaming experience of your own. With options from providers like InterServer and Crunchbits on LowEndBox, setting up a GPU-powered game or dev server has never been easier or more affordable. 4. Cryptocurrency Mining While the crypto boom has cooled off, GPU mining is still very much alive for certain coins, especially those that resist ASIC centralization. Coins like Ethereum Classic, Ravencoin, or newer GPU-friendly tokens still attract miners looking to earn with minimal overhead. Renting a GPU VPS gives you a low-risk way to test your mining setup, compare hash rates, or try out different software like T-Rex, NBMiner, or TeamRedMiner, all without buying hardware upfront. It's a particularly useful approach for part-time miners, researchers, or developers working on blockchain infrastructure. And with LowEndBox’s flexible, budget-focused listings, you can find hourly or monthly GPU rentals that suit your experimentation budget perfectly. Why Rent a GPU VPS Through LowEndBox? ��� Lower CostEnterprise GPU hosting can get pricey fast. We surface deals starting under $50/month—some even less. For example: Crunchbits offers RTX 3070s for around $65/month. InterServer lists setups with RTX 4090s, Ryzen CPUs, and 192GB RAM for just $399/month. TensorDock provides hourly options, with prices like $0.34/hr for RTX 4090s and $2.21/hr for H100s. Explore all your options on our Cheap GPU VPS Directory. ✅ No Hardware CommitmentRenting gives you flexibility. Whether you need GPU power for just a few hours or a couple of months, you don’t have to commit to hardware purchases—or worry about depreciation. ✅ Easy ScalabilityWhen your project grows, so can your resources. Many GPU VPS providers listed on LowEndBox offer flexible upgrade paths, allowing you to scale up without downtime. Start Exploring GPU VPS Deals Today Whether you’re training models, rendering video, mining crypto, or building GPU-powered apps, renting a GPU-enabled VPS can save you time and money. Start browsing the latest GPU deals on LowEndBox and get the computing power you need, without the sticker shock. We've included a couple links to useful lists below to help you make an informed VPS/GPU-enabled purchasing decision. https://lowendbox.com/cheap-gpu-list-nvidia-gpus-for-ai-training-llm-models-and-more/ https://lowendbox.com/best-cheap-vps-hosting-updated-2020/ https://lowendbox.com/blog/2-usd-vps-cheap-vps-under-2-month/ Read the full article

[yfthg]

Best CX Platforms for Real-Time Behavioral Prediction and Churn Reduction

NUMR CXM: Redefining Churn Prevention with AI-Powered Customer Prediction

NUMR CXM is at the forefront of behavioral intelligence and predictive CX in fast-moving industries like BFSI, healthcare, FMCG, and telecom. Leveraging AI, machine learning, and real-time feedback analytics, NUMR empowers enterprises to detect early churn signals and act before customer dissatisfaction escalates.

Why NUMR CXM Stands Out:

AI behavioral scoring models updated in real time

Multi-source signal detection (CRM, call logs, surveys, app behavior)

Proactive churn intervention workflows for B2C and B2B

RCA engines that trace friction back to broken journeys

Custom dashboards by vertical (banking, retail, pharma, etc.)

NUMR CXM is especially powerful for Indian and Southeast Asian brands dealing with volume-driven CX pain points and region-specific churn triggers.

Why Real-Time Behavioral Prediction Is Critical in 2025

Today’s digital-first customer demands instant resolution, context-aware service, and personalized engagement. One poor experience can lead to churn—especially in hypercompetitive sectors like telecom, OTT, fintech, and D2C e-commerce.

Real-time behavioral prediction platforms track interactions across web, mobile, support, and offline touchpoints to:

Flag signs of dissatisfaction (e.g., longer browsing time without conversion, repeated failed transactions)

Trigger churn-prevention nudges or offers

Empower frontline staff with insights for retention

Predict loyalty index drop even before NPS does

Top CX Platforms for Real-Time Churn Reduction

1. NUMR CXM

The leader in predictive churn intelligence, NUMR blends survey data, behavioral metrics, and complaint patterns to create customer health scores in real time. Built for industries with millions of interactions per month, NUMR also integrates with CRM, CDP, and analytics stacks.

2. Qualtrics XM

With its predictive NPS and machine learning-based Text iQ engine, Qualtrics offers enterprise-grade churn prediction tools. Real-time journey alerts and automated resolution rules enhance CX precision.

3. Medallia Experience Cloud

Medallia uses behavior-based triggers across voice, text, and video to analyze at-risk customers. Its AI platform pinpoints experience blind spots, enabling ops teams to act before loyalty erodes.

4. Genesys Predictive Engagement

Ideal for contact center-driven businesses, Genesys helps teams route risky interactions to senior agents and personalize retention offers on live calls or chat.

5. Sprinklr CXM

Sprinklr’s unified platform uses AI across social media, messaging apps, and CRM data to detect churn sentiment patterns and trigger tailored journeys based on customer intent.

6. Adobe Real-Time CDP + Journey Optimizer

Adobe enables dynamic journey orchestration with real-time data. Churn scoring models analyze user behavior and integrate with Adobe Campaign for retention actions.

7. Zendesk + Tymeshift

Combining ticketing intelligence and AI-powered workforce management, this stack ensures service bottlenecks are addressed proactively before frustration leads to attrition.

8. Salesforce Einstein for Service

Salesforce’s AI engine monitors drop-off behavior, case resolution delays, and sentiment decline to offer churn probability scores. It also recommends best retention actions to agents.

Regional Relevance: CX and Churn in India & APAC

In India and Asia-Pacific markets, churn often stems from:

Language mismatches and poor regional personalization

Low tolerance for technical service delays

Pricing fatigue in subscription businesses

Silent dissatisfaction in tier-2/3 cities

Platforms like NUMR CXM address this with:

Multi-language feedback clustering (Hindi, Tamil, Bengali, etc.)

Real-time behavioral tagging across WhatsApp, IVR, and mobile apps

Plug-and-play integration with Indian CRMs and ERPs

FAQs: Real-Time Behavioral CX Platforms

What is real-time behavioral prediction in CX?

It refers to the use of AI and analytics to monitor customer actions live and identify patterns that indicate churn risk or dissatisfaction.

How does NUMR CXM help reduce churn?

NUMR tracks multi-touchpoint behavior and feedback, builds churn propensity models, and triggers automated or manual retention workflows—customized by vertical.

Are predictive CX tools suitable for small enterprises?

Yes, tools like NUMR offer modular deployment, allowing both SMBs and large enterprises to access real-time churn insights.

What kind of industries benefit most?

High-competition and high-volume sectors like telecom, banking, OTT streaming, e-commerce, and insurance gain the most from real-time CX analytics.

Final Thought

To stay competitive in 2025, brands must act before the customer leaves. Real-time behavioral CX platforms like NUMR CXM don’t just react—they anticipate, predict, and guide teams toward smarter retention outcomes. Investing in the right platform today means safeguarding customer loyalty tomorrow.

[idmaacademy]

Adobe Introduces New AI Agents to Improve Marketing

New AI Tools Revealed at Adobe Summit

At the Adobe Summit in Las Vegas, announced Agent Orchestrator, a new tool within the Adobe Experience Platform. This artificial intelligence-powered system helps businesses use AI agents to communicate with customers and manage tasks in apps and other software.

Adobe says Agent Orchestrator understands business data, customer behavior, and content, making it easier for companies to improve their marketing. These AI agents can work on their own or assist humans by optimizing websites, organizing customer groups, and automating content creation.

Adobe Brand Concierge: A Smarter AI Chatbot

(ADBE) also introduced Brand Concierge, a new artificial intelligence chatbot designed to give customers a more personal experience. Unlike regular chatbots that answer simple questions, Brand Concierge uses company data to provide helpful recommendations and detailed comparisons.

This AI tool works across text, voice, and images, making online shopping and customer support more interactive. It helps customers explore products, make decisions, and complete purchases in a more engaging way.

Partners with Major Companies to Expand AI Features

(ADBE) is also teaming up with Amazon Web Services, Microsoft, SAP, Workday, Genesys, RainFocus, and Acxiom to improve artificial intelligence-driven solutions in areas like customer service, human resources, and data management.

AI is Changing Adobe’s Focus

(ADBE) has mainly used AI in its Creative Cloud and Document Cloud tools. Now, with Agent Orchestrator and Brand Concierge, is focusing on artificial intelligence powered marketing tools to help businesses connect with customers in a smarter way.

To know more about the article read on our website

[qhsetools2022]

Adobe makes agentic AI push with Agent Orchestrator, purpose-built agents

Adobe makes agentic AI push with Agent Orchestrator, purpose-built agents

[infernovm]

Adobe announces AI agents for customer interaction

Adobe has announced Adobe Experience Platform Agent Orchestrator, an intelligent reasoning engine that allows AI agents to perform complex decision-making and problem-solving tasks to accelerate customer experience orchestration. The Agent Orchestrator and a suite of Experience Platform Agents are “coming soon and currently in development,” Adobe said. Announced March 18, Agent Orchestrator is…