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OPEN Tech Talks: Technology worth Talking| Emerging Tech |Tools & Tips

Open Tech Talks is your weekly sandbox for technology insights, experimentation, and inspiration. Hosted by Kashif Manzoor, Tech Evangelist, Cloud Expert, and Enterprise Architect, this Podcast combines technology products, artificial intelligence overviews, how-to's, best practices, tips & tricks, and troubleshooting techniques. Whether you're a CIO, IT manager, developer, or just curious about technology, Open Tech Talks is for you, covering a wide range of topics, including Artificial Intelligence, Multi-Cloud, ERP, SaaS, and business challenges. Join Kashif each week as he explores the latest happenings in the tech world and shares his insights to help you stay ahead of the curve. Here's what you can expect from Open Tech Talks: Interviews with industry experts Insights into the latest technology trends Best practices for using technology in your career Tips and tricks for troubleshooting technology problems Inspiration to learn more about technology Subscribe to Open Tech Talks today and start growing your career in technology! Additional details about the podcast: The podcast is available on all major platforms, including Spotify, Apple, and Google. New episodes are released every Saturday. The podcast is about 30 minutes long for each episode. The podcast is free to listen to. I hope you enjoy the podcast! The views expressed on this Podcast and blog are my own and do not necessarily reflect the views of my current and previous employers.
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Nov 26, 2023

In this era where technology is not just an enabler but a driver of business innovation, Artificial Intelligence (AI) stands at the forefront of this transformation. AI is no longer a futuristic concept; it's a tangible, powerful tool reshaping how businesses operate and compete across various industries. Generative AI, a subset of AI, has started ruling the world in the last year, and every industry is being impacted. 

AI's vast and varied capabilities, from streamlining operations and enhancing customer experiences to driving data-driven decision-making and innovation. Organizations will focus not just on the theoretical aspects of AI in business but, more importantly, on real-world applications and strategies proving successful. Whether you're a startup embracing AI for agility or an established corporation using AI to maintain a competitive edge, understanding how to integrate this technology into your business strategy effectively is critical. Incorporating AI into business is not just about adopting new technology but fundamentally rethinking how we approach problems, make decisions, and create value. 

Real-world examples include:

  • AI-driven predictive maintenance in manufacturing.
  • AI-powered personalization in retail.
  • AI-enhanced diagnostic tools in healthcare.

This involves understanding the AI maturity curve, where businesses evolve from experimental AI projects to scaling AI across the organization.

An important facet is developing an AI-literate workforce and fostering a culture that embraces data-driven decision-making.

This comprehensive discussion aims to equip business leaders, strategists, and technologists with insights and actionable strategies to harness AI's power effectively and responsibly. As AI continues to evolve, staying ahead in this AI-driven business landscape requires not only technological advancements.

Episode # 121

Today's Guest:

Abdul-Jabbar Sani, CEO, VezTek

An excellent quote from the guest speaker, 'Bitcoin introduced the blockchain to the world, and similar to this, ChatGPT has introduced machine learning to the world.'

What to Expect in Today's Discussion:

    1. AI's Transformational Role: Insights into how AI is a tool and a catalyst for business innovation and strategy.
    2. Practical Applications: Understanding how AI is being used in real-world scenarios, such as predictive maintenance in manufacturing, personalization in retail, and diagnostic tools in healthcare.
    3. AI Maturity in Business: Learn about the evolution of businesses from initial AI experiments to full-scale AI integration across operations.
    4. Developing AI Skills: The importance of building an AI-literate workforce and how this impacts data-driven decision-making in organizations.
    5. Navigating the Hype Cycle of Technologies: Understanding the difference between hype and actual demand in emerging technologies, with examples from blockchain and machine learning.
    6. Leadership in AI: Discover what CEOs and leaders seek in candidates working with emerging technologies.
    7. Staying Ahead: Strategies for keeping up with the rapid technological changes every 15-18 months and leveraging them for business success.

Resources:

 

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