#agentic artificial intelligence

[datascienceunicorn]

I tested ChatGPT’s new Agentic AI to find out: can GPT-5 access and optimise my calendar for me?

Agentic AI in Action: Building a “Deep Work Defender” with GPT-5

When OpenAI announced last month that ChatGPT could now act as an Agentic AI, I wanted to see what that actually feels like in practice. Wit

My key insight:

• For individuals, Agentic AI will soon be the personal assistant we never had; becoming a commodity in everyday tools that supercharges productivity.

• For enterprises, the real edge will come from tailoring such agents with proprietary data and workflows across pillars like Supply Chain, R&D, Marketing, and Central Functions. Those who combine high-quality data, cross-system workflows, and AI-skilled people, with appropriate governance, will unlock the ground-breaking opportunities.

[omshree0709]

Latest tech Newz 15th Sept

Major Tech News of September 15, 2025

September 15, 2025, marked a significant day in the technology sector, with breakthroughs, policy updates, and corporate developments shapin

[omshree0709]

Obot MCP Gateway: An Enterprise Control Plane for the Model Context Protocol

Obot MCP Gateway: An Enterprise Control Plane for the Model Context Protocol

Obot MCP Gateway: Bringing Order to AI Agent Integration As the Model Context Protocol (MCP), a standard for connecting AI agents to exter

[viratkohli0911]

💡 Agentic AI: Smarter Decisions for Businesses

Agentic AI goes beyond traditional AI by autonomously analyzing data and recommending actions, helping businesses solve complex challenges efficiently. From predicting customer behavior to optimizing operations, Agentic AI is transforming how enterprises make data-driven decisions.

With TransOrg IQ, organizations can leverage Agentic AI and advanced analytics to turn raw data into actionable insights. It enables companies to enhance efficiency, uncover hidden patterns, and drive measurable growth—all with minimal manual intervention.

Harness the power of Agentic AI with TransOrg IQ and elevate your business strategy with smarter data science solutions.

#AgenticAI #DataScience #AI #TransOrgIQ #Analytics #BusinessGrowth #MachineLearning #DataDriven

[merittech]

AI has always been powerful. But the real leap is happening now. With agentic AI.

Unlike traditional models that only respond, agentic AI is built to plan, reason, and act independently. It takes us from passive insights to proactive orchestration. 

The potential across industries is staggering: 

Healthcare: Agents that monitor patient data continuously, flag anomalies early, and suggest tailored care pathways for clinicians. 

Finance: AI systems that don’t just detect fraud but anticipate suspicious patterns and recommend preventive actions before losses occur. 

Energy & Utilities: Autonomous agents that balance grid demand in real time, optimising renewable inputs while preventing outages. 

Education: Personalised learning agents that adapt lesson delivery in real time based on student engagement and comprehension. 

Logistics & Supply Chain: Intelligent agents that not only track shipments but also re-route dynamically in response to delays, weather, or geopolitical risks. 

As we head into 2025 and beyond, the conversation isn’t just about AI adoption. It’s about whether organisations are ready to trust AI as a decision partner—one that acts alongside humans to shape outcomes. Read more: https://linkly.link/2EXwY

🔮 Do you see agentic AI becoming a trusted collaborator in your domain—or is it still an experimental frontier? 

[wedesignyouny]

Explore insights on Agentic AI—where human expertise meets intelligent automation. Discover strategies to amplify your AI-powered projects.

AI agents California: Explore insights on Agentic AI—where human expertise meets intelligent automation. Discover strategies to amplify your AI-powered projects. 

[nitor-infotech]

What Is Agentic AI? A Quick Primer for Developers 

Imagine an AI assistant that doesn’t just wait for your prompt but thinks ahead, makes decisions, and takes action on your behalf, proactively. That’s Agentic AI in a nutshell.

We’re moving beyond the era of passive bots and entering the world of Agentic AI, where intelligent systems can plan, reason, and act autonomously toward goals. If you're a developer or tech enthusiast, this is a game-changer for how we build intelligent applications and a strong signal of where the future of artificial intelligence is headed.

To truly understand the shift, we need to define what makes AI "agentic".

So, What Exactly Is Agentic AI?

Agentic AI refers to AI systems that exhibit agency-the ability to set goals, make context-aware decisions, and execute tasks with minimal human intervention. Unlike traditional AI assistants, which are reactive and need specific instructions, agentic systems can function more like intelligent agents.

They're not just tools-they’re doers. Agentic AI is built on top of powerful large language models (LLMs) like GPT or Claude, but it goes a step further. Think of an LLM as the brain, while Agentic AI gives the brain a sense of purpose and direction.

At this point, you might wonder: “Isn’t this just another form of generative AI?”

How Is It Different from Generative AI?

Most of what we use today—like ChatGPT, DALL·E, and Copilot—falls under the generative AI umbrella. These systems are excellent at producing outputs: whether it's text, code, or visuals.

However, Agentic AI goes several steps further. Instead of stopping at generation, it continues with decision-making, task execution, and self-improvement. It can:

· manage multi-step workflows,

· adjust its strategy based on context, and

· even incorporate feedback to improve future performance.

In simple terms: generative AI creates; Agentic AI acts.

If you're someone who builds products, services, or tools, this paradigm shift is essential to watch. Watch this video for an in-depth look at the AI revolution of 2025: >>> AI Showdown: Meet the Brainy Bots Taking Over 2025!

Why Developers Should Care

The rise of Agentic AI transforms what’s possible in intelligent applications. We're not just building smarter chatbots—we're creating systems that collaborate with humans and drive real-world outcomes.

Here are just a few use cases that highlight its potential:

● A customer support AI assistant that monitors tickets, prioritizes by urgency, and automatically resolves known issues

● An autonomous agent that scans the news daily, summarizes market trends, and generates actionable executive briefs

● Sales AI that initiates personalized outreach, follows up with leads, and evolves its messaging based on past response patterns

These are not futuristic ideas; they’re already being prototyped. The future of artificial intelligence is not passive. It’s autonomous, contextual, and strategic-exactly what Agentic AI promises.

So, what does it take to build Agentic AI?

The Architecture Behind It

You’ll need more than just a large language model. A functional agentic system includes:

● Memory: To retain context across interactions and decisions.

● Planning modules: To break down goals into executable steps.

● Tools and plugins: Such as CRMs, browsers, or APIs to perform actions in the real world.

● Feedback loops: To learn from successes and mistakes and get better over time.

Together, these components create an AI that is not only intelligent—but also purposeful and persistent.

Here’s a quick summary for busy software Developers

Ï Agentic AI is the next step in AI evolution—shifting from reactive tools to autonomous agents.

● It builds on the capabilities of LLMs but adds memory, tools, planning, and goals.

● Unlike generative AI, which focuses on content creation, Agentic AI is built for action and execution.

● The future of artificial intelligence lies in systems that not only understand and generate—but also decide and do.

● If you’re a builder, this is the moment to explore the space, experiment, and rethink how you design intelligent systems.

Because the real magic doesn’t happen when AI gives you an answer. It happens when it solves your problem without being asked.

Ready to build the future with Agentic AI? Contact Nitor Infotech, an Ascendion company, to witness how we can develop autonomous, goal-driven AI solutions that act, not just respond.

[wedesignyouny]

Top 10 AI SDR Platforms in California to Supercharge Your Sales Pipeline

In today’s rapidly evolving sales landscape, integrating artificial intelligence into your sales development process is no longer optional—it’s essential. Sales Development Representatives (SDRs) are the backbone of B2B pipeline generation, and AI-driven SDR platforms are revolutionizing how companies in California generate leads, qualify prospects, and close deals.

Here’s a deep dive into the top 10 AI SDR platforms in California that are helping businesses streamline sales outreach, boost efficiency, and significantly increase conversion rates.

Landbase – AI-Powered Lead Discovery and Outreach

Headquartered in California, Landbase is leading the AI SDR revolution with its data-enriched platform tailored for outbound prospecting. It intelligently combines real-time data with machine learning to identify high-value leads, craft personalized messages, and engage prospects at the right moment.

Key Features:

Dynamic lead scoring

AI-personalized email sequences

CRM integrations

Smart outreach timing

Perfect for B2B sales teams looking to optimize every touchpoint, Landbase turns raw data into real opportunities.

Apollo.io – Intelligent Prospecting and Sales Automation

Based in San Francisco, Apollo.io is one of the most trusted platforms for AI sales engagement. It offers a comprehensive B2B database, AI-assisted messaging, and real-time sales analytics. Its automation features help SDRs reduce manual work and spend more time closing.

Top Tools:

Smart email templates

Data enrichment

Predictive lead scoring

Workflow automation

Apollo.io is a go-to choice for tech startups and enterprises alike.

Outreach – AI Sales Engagement That Converts

Outreach.io, a Seattle-headquartered company with a strong presence in California, provides one of the most powerful AI SDR platforms. It transforms how sales teams operate by offering AI-driven recommendations, sentiment analysis, and performance insights.

What Sets It Apart:

AI-guided selling

Multichannel engagement (email, calls, LinkedIn)

Machine learning-powered insights

Cadence optimization

Outreach is ideal for scaling sales organizations needing data-driven performance tracking.

Cognism – AI Lead Generation with Global Reach

Though originally based in the UK, Cognism has made a strong mark in the California tech ecosystem. Its AI SDR tool helps teams identify ICP (ideal customer profile) leads, comply with global data regulations, and execute personalized outreach.

Highlighted Features:

AI-enhanced contact data

Intent-based targeting

GDPR and CCPA compliance

Integrated sales intelligence

Cognism is perfect for international sales development teams based in California.

Clay – No-Code Platform for AI Sales Automation

Clay enables SDRs to build custom workflows using a no-code approach. The platform empowers sales teams to automate prospecting, research, and outreach with AI scraping and enrichment tools.

Noteworthy Tools:

LinkedIn automation

Web scraping + lead enrichment

AI content generation

Zapier and API integrations

California-based startups that value flexibility and custom workflows gravitate toward Clay.

Lavender – AI-Powered Sales Email Assistant

Lavender isn’t a full-stack SDR platform but is one of the most innovative tools on the market. It acts as an AI email coach, helping SDRs write better-performing sales emails in real time.

Key Features:

Real-time writing feedback

Personalization suggestions

Email scoring and A/B testing

AI grammar and tone check

Sales reps using Lavender have reported higher open and reply rates—a game-changer for outreach campaigns.

Regie.ai – AI Content Generation for Sales Campaigns

California-based Regie.ai blends copywriting and sales strategy into one AI platform. It allows SDRs to create personalized multichannel sequences, from cold emails to LinkedIn messages, aligned with the buyer’s journey.

Top Capabilities:

AI sales sequence builder

Persona-based content creation

A/B testing

CRM and outreach tool integrations

Regie.ai helps your SDR team speak directly to prospects’ pain points with crafted messaging.

Exceed.ai – AI Chatbot and Email Assistant for SDRs

Exceed.ai uses conversational AI to engage leads via email and chat, qualify them, and book meetings—all without human intervention. It’s a great tool for teams with high inbound traffic or looking to scale outbound efficiency.

Standout Features:

Conversational AI chatbot

Lead nurturing via email

Calendar integration

Salesforce/HubSpot compatibility

California companies use Exceed.ai to support their SDRs with 24/7 lead engagement.

Drift – AI Conversational Marketing and Sales Platform

Drift combines sales enablement and marketing automation through conversational AI. Ideal for SDRs focused on inbound sales, Drift captures site visitors and guides them through intelligent chat funnels to qualify and schedule calls.

Core Tools:

AI chatbots with lead routing

Website visitor tracking

Personalized playbooks

Real-time conversation data

Drift’s AI makes the customer journey frictionless, especially for SaaS companies in Silicon Valley.

Seamless.AI – Real-Time Lead Intelligence Platform

Seamless.AI uses real-time data scraping and AI enrichment to build verified B2B contact lists. With its Chrome extension and integration capabilities, SDRs can access lead insights while browsing LinkedIn or corporate sites.

Essential Features:

Verified contact emails and numbers

Real-time search filters

AI-powered enrichment

CRM syncing

Its ease of use and data accuracy make it a must-have for SDRs targeting California’s competitive tech market.

How to Choose the Right AI SDR Platform for Your Business

With numerous AI SDR tools available, selecting the right one depends on your business size, target market, tech stack, and sales strategy. Here are some quick tips:

Define your goals: Are you looking to scale outbound outreach, improve response rates, or automate email campaigns?

Assess integrations: Ensure the platform integrates seamlessly with your existing CRM and sales tools.

Consider customization: Choose a platform that allows flexibility for custom workflows and sequences.

Look at analytics: Prioritize platforms that offer robust data and insights to refine your strategy.

Final Thoughts

Adopting an AI SDR platform isn’t just a competitive advantage—it’s a necessity in California’s high-stakes, fast-moving sales environment. Whether you’re a startup in Palo Alto or an enterprise in Los Angeles, leveraging these AI tools can dramatically enhance your pipeline growth and sales performance.

Take the next step in modernizing your sales process by choosing the AI SDR platform that best aligns with your business needs. Let technology do the heavy lifting so your team can focus on what they do best—closing deals.