🎓 Theme & Purpose

The world of “intelligent technologies” uses a lot of overlapping terms: automation, machine learning (ML), deep learning (DL), artificial intelligence (AI), generative AI (GenAI). This session with Rahul Pareek will cut through the confusion and help you:

• Define each term clearly and show how they relate and differ.

• Understand where each fits in the technology stack and business context.

• Translate the definitions into practical use‑cases: when automation suffices, when ML adds value, when DL is required, when full AI/GenAI is game‑changing.

• Explore the strategic implications: investment decisions, team skills, governance, risk, and scaling challenges.

• Prepare to make informed decisions in your organisation — not just following buzzwords but applying the right tool for the right job.

🧑‍💼 About the Speaker – Rahul Pareek

Rahul Pareek, a seasoned data professional with over 10 years of experience in the data domain across leading MNCs and is specialized in AI/Analytics, known for bridging the gap between business strategy and data‑driven innovation. His work emphasizes how next‑gen technologies like GenAI become enablers for transformation rather than just technical curiosities. Currently a Strategic Consultant at Geeks Analytics.

Don’t miss this opportunity to learn from someone who’s not just talking about automation—but living it every day.

🔍 What You’ll Walk Away With

• Gain clear definitions of each term and their inter‑relationships.

• Receive a map of when each technology makes sense (use‑case, maturity, cost/benefit).

• Understand the skills & infrastructure implications (for automation vs ML vs DL vs GenAI).

• Be better equipped to challenge buzzwords and ask the right questions in your organisation (“Is this really GenAI or just automation?”).

• Network with fellow professionals and get direct access to the speaker for scenario‑based questions.

• Certification of Participation from Geeks Analytics

✅ Why This Event Matters

• Many organisations say they’re doing “AI” but what they actually mean may be simple automation — conflating terms leads to misaligned expectations and wasted resources.

• The pace of change in GenAI is fast: understanding the full spectrum helps you stay ahead, rather than chasing hype.

• For business leaders, tech leads, and analytics teams: being able to articulate what you’re doing and why makes a strategic difference.

• By mapping the spectrum (automation → ML → DL → AI → GenAI), you can build more coherent road‑maps and avoid jumping into the most complex tier without readiness.

👉 Grab your ticket | Save your spot | Let’s decode the future with Geek Analytics

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