#AgenticAI

[cookedtechie]

What is Agentic Ai ??

You’ve seen ChatGPT. But there’s something bigger coming: Agentic AI.

This next-gen tech doesn’t just talk—it acts.

💡 Sets goals

🧠 Uses tools

⚙️ Automates real-world tasks

Want to know what’s coming next—and how to get ahead of it?

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[nayanamj]

Agentic AI Solutions bring a new level of autonomy to enterprise systems, enabling intelligent agents that understand goals, make decisions, and adapt in real time. Designed for dynamic environments, these solutions go beyond automation, delivering proactive, self-improving intelligence that drives business growth.

[mysocial8onetech]

Learn how Kimi K2 distinguishes itself as a premier open-weight coding model. We dive into its one-trillion-parameter Mixture-of-Experts (MoE) architecture, which efficiently uses only 32 billion active parameters. Find out how its unique approach—applying reinforcement learning directly to tool use—enables its impressive single-attempt accuracy on SWE-bench and allows it to outperform proprietary models in agentic coding tasks. 

[gignaati]

Uncover the critical differences between AI agents and agentic AI, and understand how these innovations are shaping the future of technology. Dive into the debate on autonomy, decision-making, and AI capabilities. Read the full blog to grasp the future of intelligent systems!

[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

[jacelynsia]

Generative AI vs Agentic AI: Which Delivers Real ROI for Modern Enterprises?

As AI reshapes the business landscape, leaders face a critical choice: double down on Generative AI or embrace the autonomy of Agentic AI. This blog breaks down both, comparing their impact on productivity, decision-making, and long-term value. Which one truly aligns with your business goals?

[doriannate]

From Prediction to Action: ML, Gen AI, and the Rise of Agentic AI

Machine Learning recognizes patterns and foretells results. Generative AI generates content such as text or images. But Agentic AI goes further—it reasons, chooses, and executes.

At Bridgera, we leverage Machine Learning and Generative AI and created Agentic AI systems such as JERA, which not only process data but also perform execution on it—driving real-time, intelligent automation in IIoT-driven industries.

Key Takeaways:

ML = prediction

Gen AI = content generation

Agentic AI = autonomous decision-making systems

JERA = Bridgera's real-life solution

Learn more about how Bridgera helps industries transform using JERA

[agentsarchitect]

Auto-GPT Development: The Next Leap in Autonomous AI Agents

Auto-GPT isn’t just a proof-of-concept anymore—it’s a new development paradigm. This blog walks through how autonomous AI agents are designed, highlighting the tools, frameworks, and memory systems that make it all possible. Developers will appreciate the breakdown of Auto-GPT architecture, self-prompting logic, and safe deployment practices. Whether you’re building a research assistant, a content generator, or a CRM-connected task bot, this blog gives you the foundation to move from basic automation to agentic design.

[nevastechnologies]

What is Microsoft CEO Satya Nadella’s “One Golden Rule!

Microsoft CEO Satya Nadella shares one golden rule for success in the AI era: Get your basics right. Logical thinking and system design still matter—even as AI helps write code.

👨‍💻 Want to lead in tech? Build your foundation strong. 👇 What’s your go-to rule for staying future-ready?

[maximumfuntrash]

Gartner’s agentic AI predictions suggest over 40% of projects will be scrapped by the end of 2027 due to multiple overlapping factors.

[cizotech]

What are the biggest challenges in building AI agents today—and how do experts solve them?

At CIZO, we get this question a lot. So here’s a quick breakdown from the field:

Challenge 1: Context Retention AI struggles with memory beyond short-term prompts. ✅ Solution: Vector Databases + RAG (Retrieval Augmented Generation) to simulate long-term memory.

Challenge 2: Data Bias Bias in training data can lead to unfair or inaccurate results. ✅ Solution: Diverse datasets + fairness-aware algorithms = more ethical AI.

Challenge 3: Real-Time Decision Making Multimodal data (text, images, sensors) is hard to process on the fly. ✅ Solution: Optimized pipelines combining NLP, Computer Vision & IoT for fast, smart responses.

👉 At CIZO, we don’t just build AI—we solve real problems with it.

Let’s talk if you’re ready to do the same - https://cizotech.com/

[deepgriffineffigy]

Transform Your Business with Agentic AI Development This futuristic image showcases a smart AI agent emerging from a digital interface—symbolizing the rise of autonomous systems that communicate, learn, and act on behalf of users. Perfect for illustrating how agentic AI is revolutionizing customer service, operations, and enterprise automation with intelligent, self-directed capabilities.

[dluxtechpvtlimited]

Hey team! Super excited to let you all know that our DLUX Aussie team is live @ Adobe Summit at Sydney 🌏✨ Do check it out and feel free to share it with your circle too!

Official Website : https://dluxtech.com

Linkedin :https://www.linkedin.com/company/dlux-tech-corp/

Youtube:https://www.youtube.com/@DLUXTECH

Instagram :https://www.instagram.com/dlux_tech/

[jagpreetsony36]

東京にあるソフトウェア開発会社と、僕たちの成長ストーリー

東京で働いていると、デジタル化の波を日々感じる。業務の自動化、モバイルアプリの導入、社内のDX（デジタルトランスフォーメーション）…でも、��の裏には、確かな技術と信頼できる開発パートナーがいる。

この数年、自分の会社でも何度か東京のソフトウェア開発会社と一緒に仕事をする機会があった。ときにはフリーランス、またあるときは中小企業、そして昨年は、ついに「本物」と思えるチームに出会った。

それが、東京のトップソフトウェア開発会社として知られる IndoSakura Software Japan Co., Ltd.。表面的には“オフショア開発”のイメージがあるけれど、実際は、インドと日本をつなぐ柔軟で誠実なチームだった。

要件がまだ曖昧な段階から一緒に企画に入り、UI/UXからバックエンドまで一括で構築。SlackやZoomでのやりとりも日本語中心で、時差も感じなかった。 プロジェクト後も、ちょっとした修正依頼にすぐ対応してくれたのが印象的だった。

ソフトウェア開発会社って、技術力はもちろんだけど、 “任せてもいいと思える安心感”がいちばん大事だと思う。

たとえば自分がまた開発を依頼するなら、やっぱり国内で信頼できるソフトウェア開発会社にお願いしたい。そう思わせてくれた経験があるから。

このブログは宣伝でもなくて、ただの備忘録。 でも、東京で開発パートナーを探している誰かに届いたら嬉しい。

🗾 東京オフィス — Indo-Sakura Software Japan株式会社 〒135–0016 東京都江東区東陽5–30–13 東京原木会館6階