OPEN Tech Talks: Technology worth Talking| Artificial Intelligence |Tools & Tips

In our connected world, keeping our online spaces secure is a top priority for everyone - businesses, startups, and individuals alike. Today's episode is all about making cybersecurity simple and accessible. We'll cover how to start protecting yourself and your organization, address the need for more skilled professionals, and examine how new technologies make security brighter. Suppose you've ever wondered about the best ways to stay safe online. In that case, this conversation is for you about what it takes to build a career in cybersecurity or how innovation is shaping the future of protection. Let's dive in together and learn how to keep our digital lives safe and sound.

Before inviting the guest speaker, I will also discuss my experience attending WebSummit Qatar and some of the latest news from the Leap 2024 event in Saudi Arabia.

We all now must be aware that the consequences of neglecting cybersecurity can be dire, from personal data breaches to large-scale attacks on corporations and governments. I know we hate to keep long-digit passwords, but there is so much happening in the security world that we all need to be extra conscious and take serious steps.

Episode # 130

• Website: AstuteTechnologists
• Linkedin: NickLorizio

The insights into cybersecurity include learning how to bolster security within your organizations and personal digital spaces.

What Listeners Will Learn:

In today's podcast, you'll gain insights into several key areas:

1. Understanding Security Necessities: Learn why individuals and organizations must prioritize cybersecurity, recognizing the unique challenges each faces and the critical importance of investment in this area for protecting data and ensuring operational continuity.
2. Innovation in Security: Learn about the inspiration behind developing a security product, identifying market needs, and how innovative technologies like AI are integrated into cybersecurity solutions to enhance protection and efficiency.
3. Guidance for Startups: Discover tailored advice for startups or those early in product development on embedding cybersecurity measures from the outset, ensuring a secure foundation as they scale.
4. Personal Security Strategies: Gain strategies and best practices that individuals can adopt to safeguard themselves in the digital world.
5. Addressing Talent Shortage: Explore the current landscape of cybersecurity talent shortage, understand its impact on the industry, and learn about ways to mitigate this issue through education, training, and community engagement.
6. Career Growth in Cybersecurity: Receive suggestions for individuals looking to start or advance their careers in cybersecurity, including educational paths, skill development, and networking strategies.
7. Foundational Insights: Hear firsthand about the biggest mistakes to avoid as a founder and the key traits to look for when building a team, providing a deeper understanding of the leadership and decision-making process in the cybersecurity sector.

• Website: AstuteTechnologists
• Linkedin: NickLorizio
• Amjad Masad, CEO of Replit
• Groq

The impact of large language models, also known as Gen AI, can be seen in every industry. In the healthcare sector, Generative AI Technologies is gaining momentum and becoming a key priority. Generative AI can revolutionize the healthcare industry by automating medical coding, improving medical claims processing.

Generative AI can also assist healthcare payors and insurers, providing valuable call report summarization and performance analytics.

AI-enhanced imaging can further elevate the accuracy of medical diagnoses. Generative AI has the potential to refine, reconstruct, or synthesize medical imagery, including X-rays, MRIs, or CT scans. This provides clinicians with more detailed and accurate visual data, which supports better-informed diagnoses and treatment plans.

The healthcare industry stands on the brink of a transformative era, with the integration of advanced technologies reshaping its landscape. Today, we will talk about the dynamics of incorporating artificial intelligence (AI) and machine learning (ML) models into healthcare systems. We explore the challenges and breakthroughs in developing go-to-market strategies, healthcare IT integration, and the profound impact of AI in operational systems.

This podcast delves into the contrasting requirements of medical record interoperability among different healthcare facilities and the rigorous cybersecurity standards. Additionally, we explore how the healthcare industry is being transformed by AI, with closed-loop systems that are FDA-approved at the forefront.

Episode # 124

• Website: JFJordan
• Linkedin: JamesJordan

What Listeners Will Learn:

In today’s podcast, you’ll gain insights into several key areas:

1. The Role of AI and LLMs in Decision Support: How AI shapes healthcare decision-making processes, including precision medicine.
2. Cybersecurity in Healthcare: Addressing the high stakes of protecting medical records in an increasingly digital landscape.
3. Interoperability vs. Cybersecurity: Balancing the need for shared medical records with the imperative of data protection.
4. Regulatory Challenges: Navigating the speed of technological advancement versus the pace of regulatory approval.
5. Startups in Healthcare: Analysis of the current state and future prospects for startups in the healthcare industry.

• JFJordan
• Healthcare Data Center
• JamesFJordan - Carnegie Mellon University’s Heinz College

The big question is, How do CTOs, CIOs, IT Managers, and IT Directors choose the right technology software, applications, and tools for their organizations?

Navigating the ever-evolving world of technology can be daunting, especially when someone is at the helm of a company's IT decisions. The landscape is riddled with established technology solutions, from packaged applications (ERPs) to SaaS, PaaS & IaaS vendors to Emerging technologies, each promising to be the game-changer and now with the Artificial Intelligence hype at the peak. Being at the C-level is about more than just knowing tech stuff. It's about making sure that tech helps the business do well, and irrespective of the technology or who the vendor is providing, so many moving pieces need to be put in place.

Today we have a guest who is Chief Technology Officer (CTO), and he will take us on an exciting trip of starting with a simple idea, something you jot down quickly, and then you turn it into something tangible - Smart helmets. It must. be challenging as some people might doubt you, especially when they hear stories of other businesses that tried and didn't succeed.

Joseph is a CTO who is helping startups and other organizations design, develop, and launch innovative products and solutions.

• You will hear the story of the world's first smart helmet that was developed from idea to mass production.
• How do you decide or select technology for the business?
• How to fail fast can help to refine your idea to invest more time and money into it
• What are the qualities you are looking into the candidates, especially in the technology space?
• When is the right time to add AI to your startup idea?
• How can we learn quickly from mistakes without wasting time and money?
• Website: Azar Consulting
• Linkedin: Joseph Azar

• Azar Consulting
• Forcite Helmets

Writing in the Age of AI has become crucial and a skill that requires a mindset to be grasped. Writing a book is a long-standing item on my to-do list, and today, I have got an exceptional expert on the show to learn from him about writing books and how to write books with the support of Artificial Intelligence.

I have been writing blogs for the last 12 years; I wrote my first blog in the year 2011, and interesting to see it was on 16th August 2021.

Without any doubt, writing a book offers a unique platform to share knowledge, experiences, and expertise.

It establishes one as an authority in a particular domain and allows one to reach and impact a larger audience.

For technical experts, writing books becomes even more crucial. It’s an avenue to translate complex technical jargon into consumable content.

In doing so, they bridge the gap between technological advancements and make it understandable for the wider community; it’s become like demystifying and democratizing knowledge.

However, writing a book is no mean feat. It demands time, patience, and a high level of commitment, which I am also struggling to overcome over the years.

Here’s where Artificial Intelligence comes into play.

1. Research: AI-driven tools can sift through vast amounts of data, summarizing and pulling out key insights that can be valuable for a writer.
2. Editing: AI-powered grammar and style checkers ensure the content is coherent, error-free, and engages the reader.
3. Content Enhancement: Through predictive text and content suggestions, AI can aid in refining the narrative, making it more compelling.
4. Market Analysis: AI can analyze current market trends to suggest topics or themes that resonate with readers.
5. Personalization: AI tools can help tailor content, ensuring it addresses the specific needs and preferences of the target audience.

Today, in our Podcast, we’re privileged to have a guest who embodies the confluence of traditional book-writing and modern AI tools. Having authored over 300 books, he not only understands the nuances of the writing process but has also harnessed the capabilities of AI to amplify his online business. His journey offers invaluable insights for anyone looking to venture into writing, especially in the technical domain.

Jonathan is an expert at using Artificial Intelligence tools to accelerate your online business.

• How AI tools are shifting from optional to mandatory for every business.
• You can use AI tools like ChatGPT and Midjourney to save work hours.
• What is the objective of writing books? Different categories give you the context of why to write a book.
• How you should structure your book and add the story, follow the formula of 3 things to write in the book.
• How you need to market your books, the secret to getting reviews on Amazon.
• Website: ServeNoMaster
• Twitter/X: Jonathan Green

• ServeNoMaster
• Book: ChatGPT Profits
• Link: https://www.otechtalks.tv/writing-in-the-age-of-ai-a-deep-dive-with-a-300-book-author/

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The journey started from the cloud to arriving on the multi-cloud. Nowadays, every IT department in an organization is heading towards the multi-cloud era. Let’s first get our heads clear,

• What is multi-cloud?
• What is a hybrid cloud?

As we are hearing, these two terms are sometimes interchangeable.

So multi-cloud is where an organization uses the cloud services from two or more cloud providers, such as the Oracle Cloud, AWS, Azure, and Google Cloud.

A hybrid cloud is where the organization uses on-premises services, or “private cloud,” and a few from any of the cloud providers – public clouds, such as the Oracle Cloud, AWS, Azure, and Google Cloud.

Distributed cloud: organizations want to have their own decision and choice for the cloud resources that they want to have. It could be multiple public clouds, or even an Oracle cloud@customer, an AWS outpost, etc. The point is that services will be like a public cloud and managed, and governed by the public cloud vendor.

Now the first question that comes to mind is, why multi-cloud? A few areas to think of...

• Vendor lock-in (in other words -multiple cloud vendors lock in)
• Data center availability – this is also linked to the compliance requirement that you need to have an in-country data center
• Utilize the best services from the cloud vendor, who specializes in certain services.
• Low latency requirements for certain applications and that vendor doesn’t have a data center in that region.
• Price optimization
• By accident, they opted for multi-cloud (within organizations, the different departments opted for different cloud vendors).
• Resilience (I need to have a backup site with other cloud providers)

The multi-cloud strategy brings several benefits to organizations, however, implementing a multi-cloud also brings challenges, few to mention:

• Compatibility
• Increased complexity
• Security
• Interconnection between different cloud providers
• The learning curve for the IT teams (to learn about different cloud providers)
• Cost estimation and reporting.
• Cloud management
• Multi-cloud architecture

• Fundamentals of multi-cloud
• What are the benefits, and challenges of multi-cloud?
• the common patterns of deployments
• what are the common cloud management platforms
• what are the common cloud networking providers

• Cloud Management Platform Gartner magic quadrant 2020
• Multi-Cloud Networking Software (MCNS)
• Interconnection between Oracle Cloud and Azure
• 99 – Cloud Adoption Framework
• 97 – What are the leading cloud migration challenges?
• 95- Cloud Security with CIS Benchmarks
• 94- How to develop a cloud migration strategy?
• 93- Cloud Migration Workload Assessment
• 91- Workload Migration to Cloud – Getting Started