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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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Now displaying: 2022
Aug 7, 2022

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.

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

You’ll Learn:

The journey to Multi-cloud:

  • 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

Access the full podcast details on: https://www.otechtalks.tv/multi-cloud-benefits-challenges-and-adoption/

Resources:

 

Jun 10, 2022

An open talk on the challenges of having a data pipeline for the images, audio and videos, The Hub enables to have several famous machine learning datasets with just a single command, like CIFAR-10, MNIST or Fashion-MNIST, Google Objection, ImageNet, COCO, and many others.

As I came from a Relational Database management system (RDBS) background, this talk gives me a new perspective and helps to think outside of the known areas. Enjoy the talk with the CEO of Active Loop. This session was recorded in October 2021 and is now being published.

Today’s Guest

Davit Buniatyan, CEO at ActiveLoop.ai

A great insight talk with the guest speaker on a topic, a product owner focuses on a dataset format to offer API for creating, storing, and collaborating on any size of AI datasets.

  • What were the challenges faced in the unstructured data storage and how the hub is offering a solution to solve the data problem?
  • The question of where you will store the large data sets of images, and videos - you will get all the answers in this talk
  • How the opensource Github repo is helping thousands of people to use datasets to PyTorch or TensorFlow with one line of code.

Resources:

May 31, 2022

Every day, we are reading reports on cyberattacks and massive data breaches worldwide, resulting in substantial financial losses, disruption, and downtime. The most important thing to notice is that every day cybercriminals adopt new attacks to avoid traditional security measures and bring new approaches to achieve the target. There is a concept of having layered security, with this approach of layered security enables you to have a system for an Internet security strategy that ensures an attacker who tries to penetrate one layer of defence will be stopped by a subsequent layer. Let's get first the definition clear about layered security.

What is Layered Security?

According to, Techopedia, the layered security is:

“Layered security refers to security systems that use multiple components to protect operations on multiple levels or layers. This term can also be related to the term defence-in-depth, which is based on a slightly different idea where multiple strategies and resources are used to slow, blog, delay, or hinder a threat until it can be completely neutralized”

National Institute of Standards and Technology (NIST) Guidance, NIST has defined a layered security model that has 17 control families 

This session was recorded back in October 2021, and it is now being published.

Today’s Guest

Greg Edwards, CEO at CryptoStopper

An inspirational talk with the guest speaker on a topic, a SaaS product targeted to help detect and stop ransomware.

  • Why it is important to focus on security and have a Layered security approach for your organization.
  • As a CEO the favourite tool is being used every day for SaaS product development.
  • What are the qualifies required to get hired from a CEO perspective and many more such insights you will have

Resources:

May 12, 2022
An overview of Oracle's different Artificial Intelligence, machine learning, and data science solutions available on Oracle Cloud. If you are new to this website, it is a learning and sharing platform where we will learn publicly.

Before I cover today's show schedule, let me admit that procrastination is sometimes very dangerous, as I could not record/host the podcast for the last 4 months. It wasn't easy to have a work-life balance due to the two factors. First, as I am doing MSc in AI and the previous 4-5 months were crucial to complete the key subjects, now I am on the last topic of robotics, which will be completed very soon. And 2nd factor was that I was dedicating a lot of my time to office work, where I worked with several EMEA-based customers and helped them migrate on-premise workloads to the Oracle cloud.

On the procrastination, James clear’s book ‘Atomic habit’ and specifically the article “Procrastination: A Scientific Guide on How to Stop Procrastinating” has helped me to come out of the phase and be back with the podcast 😊

Let's dive into today’s topic. Oracle has solutions that broadly cover three areas from the product's point of view. We will also talk about some of the use cases along with these products.

1-Artificial intelligence services, 2- Machine learning services and 3- AI apps for SaaS services

1-Artificial intelligence services deliver pre-trained models that can also be custom trained to improve model quality and enable organizations to use the AI services.

2-Machine learning services enable organizations to build, manage and deploy machine learning models with the different open source frameworks or they can use in-database machine learning capabilities.

3-AI apps for SaaS services provide organizations with capabilities in pre-integrated and fully functional AI functionalities in the Software as a Services (SaaS) model. These services are primarily part of the Oracle Cloud Applications. It uses deep semantic parsing with natural language processing (NLP), natural language understanding (NLU), and custom algorithms to understand common conversations to derive real intent and context. In addition, users can communicate with the business application using voice commands capabilities available in the digital assistant offered by Oracle’s Voice, it is not relying on any third party offerings.

You’ll Learn:

Different offerings for AI, ML and Data Science from Oracle Cloud:

Resources:

Jan 30, 2022

Project management is changing how emerging technologies are becoming on-board, and complex business transformations are happening in different industries. All this requires new approaches and methodologies. In this podcast, I discussed the role of artificial intelligence in project management, how we can get ready with the future of project management, and what it looks like. What are the traits someone needs to have? What is impacting the current project management and the challenges being faced?

You will also learn why project management professionals & executives need to understand the need to transition to an AI-powered approach in project management. You will also learn the vital steps for effective collaboration between intelligent technology and project professionals. The organization is collecting enormous amounts of data and how the collected data can help have informed decisions for the project management.

You will get the answers to 4 key areas:

  • What are the current challenges with project deliveries, their root causes, and why AI is the cure?
  • Which AI will impact areas of Project Management?
  • How will AI work in the project management practice, and what is the impact on current practices?

Understand the steps that organizations and project professionals need to take to prepare for the future

Another view to look the future of project management as Gartner reported that "By 2030, 80 percent of the work of today’s project management (PM) discipline will be eliminated as artificial intelligence (AI) takes on traditional PM functions such as data collection, tracking and reporting, according to Gartner, Inc."

However, project managers need to be ready with the help of AI and to use the latest tools in routine tasks rather than just stopping them. The core skills like leadership, people stakeholder management, storytelling, communication and many more skills will play a significant role to be a great project manager.

Today’s Guest

Marcus Glowasz, Project Management Coach, Speaker, Facilitator

A talk with the experienced project management practitioner as a guest speaker on how the latest Technologies and Innovations in Project Management.

Resources:

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