Welcome to Open Tech Talks.

In this episode, we’re speaking with Mayank Jindal, a Software Development Engineer, about AI's evolving landscape and its impact on software engineering. From AI use cases to challenges in model development, we cover strategies for aligning AI solutions with business needs, tips for staying updated in this fast-paced field, and career advice for aspiring developers.

Whether new to AI or looking to refine your skills, this episode delivers insights you can apply immediately.

Large language models (LLMs) are transforming software engineering by automating code generation, debugging, and testing. They enable developers to accelerate workflows but require engineers to upskill and adapt. While AI reduces repetitive tasks, developers need to focus on designing architectures, validating outputs, and ensuring AI-generated code meets quality standards.

This episode has covered AI's evolving role, its impact on software engineering, and strategies for addressing challenges in AI development.

Episode # 153

He is a Software Engineer passionate about leveraging Artificial Intelligence to enhance the digital world.

• Linkedin: Mayank

What Listeners Will Learn:

• Understand how large language models (LLMs) influence software engineers' role and reshape development workflows.
• Explore common challenges faced in AI development, including data quality, scalability, and performance optimization.
• Discover strategies for keeping up with the rapid advancements in AI and machine learning technologies.
• Gain practical tips for newcomers looking to start or grow their AI and software development careers.
• Learn methods for translating business requirements into effective AI and machine learning models and tips for overcoming common obstacles.
• Learn about real-world AI applications that are transforming industries and solving complex problems with AI

Welcome to your weekly AI Newsletter from AITechCircle!

I'm Building, Implementing AI solutions, and sharing everything I learn along the way...

This week is a recap of 2024 with some of the key insights and the tools and recipes I have used or learned over the year with you as an AI community. Please take a moment to read and share this with a friend or colleague who might benefit from these valuable insights!

• How to start your journey of AI & Generative AI project implementations in your organization
• Generative AI Use Cases
• AI ethics and Governance
• AI Courses to attend
• Open Tech Talks with AI industry leaders

Full Shownotes are available: https://aitechcircle.com/posts/2024-wrapping-up-a-year-of-shared-learning-and-growth-in-ai

Dive into this week’s updates, and take a moment to share them with a friend or colleague who could gain from these valuable insights!

• AI Governance Framework
• AI Weekly news and updates covering newly released LLMs

A few months back, I had a chance to work with an organization. Their key question was, what should we be doing to ensure AI governance is in place?

We had a long discussion on the AI Governance areas, starting with regulations and what any organization should be doing.

I thought of expanding this topic and imagining myself as someone responsible for creating AI governance for an organization.

What should I be following?

So here are my steps and the artifacts for creating an AI Governance Framework or guidelines for a Model organization. I have shared these with them, and after a few sittings and conversations, an early version was ready to baseline as AI Governance Framework.

I am sharing the initial work as, in reality, it was improved a lot.

Before you start reading below, I strongly suggest you read these earlier editions:

1. ​Diaries from the Field—Building Ethically Responsible AI Enterprise Solution​
2. ​Building a Game-Changing AI Strategy: Step-by-Step Guide and Exercises for Your Organization​

Now, it's best to start below:

All the details are on this link:

https://aitechcircle.com/posts/lets-build-ai-governance-framework-for-an-organization

Welcome to Open Tech Talks, the podcast exploring the intersection of AI and business transformation. In this episode, we speak with the CEO of Addy AI, a cutting-edge solution reshaping loan processing and banking automation. The discussion covers everything from integrating AI with traditional banking tools to practical advice for implementing large language models (LLMs) in products and businesses. Plus, we'll share lessons learned from challenges faced along the way and insights for aspiring AI professionals.

Loan processing has long been a time-consuming and error-prone task. Addy AI has redefined this process, automating key steps and reducing turnaround times. This transformation enables banks to process applications faster, improving customer experience while maintaining accuracy.

Before using AI-driven tools like Addy AI, traditional methods often relied heavily on manual input and outdated workflows, significantly slowing down operations.

Episode # 150

Michael worked on Enterprise Engineering at AWS. He holds a master's degree in Software Engineering from Carnegie Mellon.

• Website: Addy AI
• Twitter/X: Addy 

What Listeners Will Learn:

• Discover how AI applications like Addy AI revolutionize loan processing, making it faster and more efficient than traditional methods.
• Understand how AI solutions like Addy AI seamlessly fit into banks' existing tools and systems.
• Learn about the architecture of AI-powered solutions, providing a practical perspective on how they operate within real-world business environments.
• Gain insights into how AI agents enhance automation, decision-making, and efficiency.
• Receive actionable tips for leveraging large language models (LLMs) in business or product development.
• Explore a beginner-friendly framework for organizations looking to start their AI journey effectively.
• Learn about the common challenges encountered while working with LLMs and how to address them.
• Get advice on what skills and attributes stand out when hiring for AI-related roles.
• Hear about a valuable learning experience from a business challenge and how it shaped future strategies.

• Addy AI

Welcome to your weekly AI Newsletter from ​AITechCircle​!

This newsletter has become an essential resource for me and many others in the AI community. It has practical insights that will immediately boost your work or business.

Dive into this week’s updates, and take a moment to share them with a friend or colleague who could gain from these valuable insights! AITechCircle​

• Behind the Scenes of writing this newsletter
• Insights from the Field: Creating Ethical AI Solutions for Enterprises
• Generative AI Use cases in the Health Care Industry
• AI Weekly news and updates covering newly released LLMs
• Courses and events to attend

To Read the full episode over here: https://aitechcircle.com/posts/diaries-from-the-field-building-ethically-responsible-ai-enterprise-solution

Read all the Edition of AI Tech Circle

In today's episode, we're tackling some of the most pressing topics in tech and business transformation, including strategies for AI integration, the evolving role of generative AI, and best practices for navigating ethical considerations in AI adoption. Joining us is the CEO of IdeaScale, a leader in innovation management who brings valuable insights into how AI can shape organizations' futures.  In today's competitive landscape, companies must go beyond just adopting new technologies; they need a structured, goal-driven approach. From automating processes to offering actionable insights through data, AI can enable growth and scalability.

Generative AI has quickly become one of the most influential technologies of the decade, but executives often need help with where to begin. Building an AI strategy for C-level decision-makers means identifying suitable applications for generative models and considering the long-term effects on the organization. Company's learning is critical here, as generative AI can amplify value or risk, depending on how it is implemented. 

Tune in to future episodes of Open Tech Talks for more discussions on AI

Episode # 148

• Website: IdeaScale

What Listeners Will Learn:

• Learn how IdeaScale transformed and adapted with new strategies, technologies, and leadership approaches to enhance innovation and operational success.
• Discover how AI has supported and influenced business functions, from optimizing workflows to enhancing data-driven decision-making.
• Gain expert recommendations on navigating the challenges and opportunities of Generative AI, including best practices for high-level decision-making.
• Understand key ethical and privacy considerations for responsibly implementing AI within any organization.
• Get insights on effectively introducing Generative AI use cases, aligning them with business goals, and overcoming implementation challenges.
• Learn about the productivity gains and efficiency improvements realized by integrating code generation with LLMs in development workflows.
• Find out how to effectively validate product ideas and new features with a structured approach to meet market needs.
• Gain practical tips for effectively marketing a startup or new product on a limited budget, focusing on maximizing impact.
• Learn strategies for recruiting and managing talent, fostering a team that aligns with organizational goals and culture.
• Hear proven strategies for identifying and discarding unhelpful or misleading business recommendations, maintaining focus on effective practices.
• Discover actionable steps for building leadership skills, from personal development practices to lessons learned from experience.
• Understand the techniques for navigating strategic management responsibilities and hands-on product development tasks.

Resources:

IdeaScale

This episode dives into how organizations can effectively harness AI to transform operations. We explore practical steps for starting an AI journey, discuss emerging use cases, and offer guidance on talent readiness. Whether you’re an executive leading AI initiatives or a professional looking to understand the evolving AI landscape, this episode provides valuable insights.

AI implementation in organizations often begins with identifying specific pain points where AI can make a measurable impact. Starting small with focused projects allows companies to integrate AI tools into existing processes, ensuring smoother transitions and quicker results. This approach minimizes disruption while enabling scalability as the AI solution proves its value.

A structured framework is essential for organizations starting their AI journey. It begins with assessing readiness, identifying areas with the highest potential for impact, and building a small-scale proof of concept. From there, scaling up based on early successes ensures a more sustainable and confident approach to AI adoption. This systematic method enables organizations to achieve quick wins while laying a solid foundation for long-term growth.

Adopting AI does not require overhauling existing systems. Integrating AI into the current ecosystem can be done by leveraging cloud platforms, APIs, and other tools, allowing AI solutions to complement rather than replace existing technologies. This approach helps to minimize friction and optimize the value derived from AI implementations.

This episode offers a detailed look into the practical aspects of AI implementation, providing actionable strategies for organizations to integrate AI into their processes. It covers everything from starting the journey to ensuring talent readiness and managing end-to-end operations. For more insights on AI and the latest tech trends, stay tuned to Open Tech Talks.

Episode # 147

In 2022, after 25+ years in technology in the corporate world, Mark decided to start Tairi. Tairi originates from his passion for leadership in tech.

• Website: Tairi
• Linkedin: Tairi 

What Listeners Will Learn:

• Understand practical strategies for integrating AI into various business functions, from small-scale projects to enterprise-wide initiatives.
• Learn about a structured framework for organizations to kickstart their AI transformation, ensuring they avoid common pitfalls.
• Discover the most impactful AI applications in diverse industries, helping businesses stay ahead of the competition.
• Gain actionable tips for adopting AI solutions that fit seamlessly into current processes and tools.
• Explore the current landscape of AI skills and how companies can assess and upskill their teams for success.
• Look inside the critical skills and attributes a CTO seeks when building a strong AI team.
• Learn practical advice for handling multiple business functions while leveraging AI to streamline efforts.

• Tairi

In this week's Open Tech Talks, we had the pleasure of speaking with TJ Walker, the founder of Media Training Worldwide. With over 2 million students on Udemy and over 200 courses under his belt, He is a global expert in presentation techniques, media training, and communication skills.

As the author of six books, including the USA Today #1 Bestseller "Secret to Foolproof Presentations," TJ shares his vast experience on how to elevate your communication skills—whether you're making media appearances, giving a presentation, or simply explaining complex ideas to a business audience.

We started the conversation with TJ by exploring the rise of AI cloning - replicating one's expertise through AI-powered digital clones. Imagine having an AI version of yourself that can share your knowledge, answer questions, and provide personalized learning to millions, just like TJ's courses. The benefits of AI clones are immense, especially for professionals looking to scale their knowledge and impact globally without being physically present.

Episode # 146

TJ Walker’s commanding digital presence is marked by over 2 million students on Udemy across more than 200 courses. He is the author of 6 books, including the USA Today #1 Bestseller “Secret to Foolproof Presentations” and “Media Training A to Z.

• Website: TJWalker
• Youtube: TJ Walker 

What Listeners Will Learn:

• AI Cloning and Expertise Sharing: Learn how AI clones revolutionize how experts share their knowledge and scale their impact.
• Before and After AI: Explore how adopting AI changes everything, from preparing for presentations to managing daily tasks in a business environment.
• Translating Tech Jargon for Business Users: Spekaer shares practical tips on breaking down complex technology concepts into language that business users can easily understand.
• Improving Your Presentation Techniques: He will give you actionable advice on how to make your next presentation more impactful, concise, and engaging.
• Learning Outcomes from Media Training Courses: Understand the key takeaways students gain from TJ's media training courses and how they apply them in real-world scenarios.
• Overcoming Fear in Media Appearances: Learn TJ's top strategies for overcoming fear of media appearances and public speaking and how to build confidence on camera.

• TJWalker

Unlock AI's full potential in your organization with a game-changing strategy. This week, I will guide you through actionable steps and hands-on exercises to help your team develop an AI strategy that creates real impact and sets you apart from the competition.

What does Chat GPT stand for: Chat Generative Pre-trained Transformer

Full Episode Details are available on this link with the show notes:

https://aitechcircle.com/posts/building-a-game-changing-ai-strategy-step-by-step-guide-and-exercises-for-your-organization

Episode Number 145

AI is dominating the tech industry, from new LLMs being released to new startups being formed to who will have the most GPUs. 

The multi-cloud and AI announcements dominated Oracle's flagship annual conference this week. Today's edition covers all essential products and features announced during the CloudWorld 2024

but before I start the highlights from this week's conference, let me give you some context as it reminded the keynote during the 2022 conference.

The 'Internet of clouds' statement made by Oracle CTO Larry Ellison during the opening keynote at Oracle CloudWorld 2022 enables customers to choose cloud services from various vendors and to go for the best cloud service from the cloud vendors.

The words that stuck in my mind were "Internet of clouds." What does it mean that, as he said, we need to build clouds like the Internet, which are interconnected and interoperable? Customers have all the choices of services, irrespective of what the vendors are; they are connected.

And if I recall, a couple of years back, the discussion in which I covered in Podcast: 105 – Multi-cloud benefits, challenges, and adoption, that one of the fundamental problems we are having in the adoption of the cloud is silo clouds.

The complete AI Tech Circle Newsletter is available on the below link:

Covering:

• AI
• Multi-cloud
• OCI Infrastrcture & PaaS
• Industry Apps

• 105 – Multi-cloud benefits, challenges, and adoption
• A holistic framework for evaluating foundation models
• Oracle CloudWorld 2024 keynotes