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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 learni

In the rapidly evolving landscape of artificial intelligence, the introduction of AI-powered voice solutions, particularly in call centers, marks a significant revolution. This transformative shift is not just about automating conversations but about redefining the very essence of customer interactions. AI voice technologies, harnessing advanced algorithms and vast data sets, are enabling call centers to provide more personalized, efficient, and consistent customer service. According to a report by Grand View Research, the global AI in the call center market size was valued at USD 1.6 billion in 2020 and is expected to expand at a compound annual growth rate (CAGR) of 23.6% from 2021 to 2028. This growth is attributed to the increasing demand for AI solutions that can manage large volumes of calls and enhance customer satisfaction while reducing operational costs. Moreover, the integration of AI in call centers goes beyond just handling inquiries; it's about leveraging technology to understand customer needs

Managed services have become a linchpin in the strategy of companies looking to harness technology for growth, efficiency, and innovation.  We delve into the transformative world of managed services and their role in business strategy.  The shift from in-house tech management to outsourcing to specialized tech companies represents a strategic reorientation for many businesses. This critical decision allows companies to focus on their core competencies, entrusting the technological complexities to expert service providers. Yet, challenges arise, especially for tech-centric businesses that prioritize maintaining control over their IT infrastructures.  We explore this delicate balance between managing in-house technology and reaping the benefits of outsourced services. This blog post and accompanying podcast are tailored for business leaders contemplating the shift to managed services and MSPs aiming to align their services with client success. Stay tuned as we navigate the dynamic and evolving landscape of mana

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

Today's topic is more than just talking about technology; it is a refreshing deviation from our usual tech-focused narratives.  We're exploring life beyond the screens and code, diving into themes of personal growth, emotional wellness, and life transitions. Today, I have requested a special guest, a former corporate professional turned life coach, to join us to share invaluable wisdom on overcoming common fears, embracing self-care, and navigating the transformative journey of career shifts.  We will cover various topics, such as battling public speaking anxiety, seeking joy in one's daily routine, and considering a significant career change. This discussion is tailored to provide you with meaningful, life-enhancing insights.  Episode # 120 Today’s Guest: Sylvia Worsham, Couch & Author Website: SylviaWorsham Linkedin: SylviaWorsham Twitter: SylviaWorsham What to Expect in Today’s Discussion: Conquering Common Fears: Learn practical strategies to overcome fears like public speaking or rejection, which

In today's digital age, every swipe, click, and search is monitored, analyzed, and even predicted by Artificial Intelligence (AI), although we are all going through the Generative AI era; in other words, the ChatGPT era. However, AI has been here for a long time, and one example is being used at the core for marketing products, including in social media channels. As the algorithms get more innovative, the digital footprints we leave are no longer mere footprints; they are profound insights into our psyche, preferences, and behaviors. All these footprints are being used and exploited to push us the products through ads that even we don't need to buy or don't have requirements at all.  Authenticity in marketing is becoming more crucial and at the heart of marketing tactics instead of just pushing the products through AI. A few months ago, I received an email advertisement for a product I casually mentioned in a conversation. It wasn't a typed search or a clicked ad - it was just a conversation. Intrigued, I bo

In today's rapidly-evolving tech landscape, the right technical decisions can make or break a business. Startups and established enterprises alike face unique challenges in technology, which is where technical advisors come in. These unsung heroes shape the world with every new idea, guiding organizations through the ever-changing tech world. With so much pressure on CEOs and CTOs to innovate and stay updated, technical advisors equipped with a profound understanding of software engineering, cloud computing, and business acumen are indispensable. From building an MVP to launching a new product, technical advisors offer a unique perspective that can help businesses achieve their goals. They bring real-world experience to the table, having worked closely with startups and established businesses. Their approach is pragmatic, focused on driving tangible results and actual business performance improvements. If you're looking to navigate technical challenges and stay ahead of the curve, a technical advisor can help

In the ever-evolving world of e-commerce and SaaS, sustainable growth remains the challenge for whoever is starting a new business or already establishing his business. How do we truly define the growth? What is required for the company? Is it just about numbers, or is there a deeper layer where creativity meets strategy, resonating with audiences like never before?  As businesses grapple with these questions, founders are still looking for ways to have a unique brand voice. If you are new to the industry and want to start with unique creative strategies, you must have a profound understanding of audience dynamics. How to uncover the essence of proven methods and discover what makes businesses thrive in the competitive digital space. How Generative AI is impacting and helping to achieve and give you a head start for establishing a unique brand. Today's podcast session will uncover all these questions and help you have creative ways to use for the business.  Today’s Guest: John Chan, Founder, 2x Growth Agency

With the dawn of ChatGPT, to be more accurate, the Large Language Models (LLMs) have given a new way to interact with everything, from content to writing code to design/drawing a picture. These models, sophisticated as they are, rely on one critical component: the prompt.  As AI technology matures, crafting the perfect prompt, termed "prompt engineering," has become a high-demand skill set. This brings us to the new field of prompt engineering. How best will you pass the instructions to large language models? The best results you will get it.   The Evolution of Interaction: With the ChatGPT, how we communicate with machines has taken a quantum leap. No longer are we confined to simple commands; now, we can engage in intricate, layered conversations. This transition isn't just about the models themselves but how we "talk" to them. The better the prompt instruction, the more refined and effective the output. Just as the pen is mightier than the sword, the prompt holds the power in the AI domain. Today's guest s

In an increasingly competitive and fast-paced world, the traditional trajectory of education followed by a lifetime of work is evolving, and it is getting more common to see many working professionals returning to universities. Welcome to the era where working professionals are headed back to the classroom, juggling Excel sheets by day and academic journals by night. As the demand for upskilled employees and lifelong learning rises, we're witnessing a notable increase in adults pursuing degree programs while working full-time. So, why are adults flocking to universities and online platforms for higher education? The Landscape of Adult Learning: With advancements in technology and shifts in job requirements, it's no longer a "one-and-done" situation regarding education. Fields like data science, artificial intelligence, and project management are not limited to a few; now, all fields are mandated to update skill sets and in-depth knowledge, making it imperative for working professionals to up their educational

In the evolving financial sector landscape, harnessing First-Party Data and leveraging AI for a competitive edge has become more than just a trend; it's a necessity, without any doubt. Every successful institution today stands on a bedrock of data-driven decisions and how quickly they are getting these decisions done is vital, how they are enabling the executives to make informed decisions.  All lies with how organizations can truly unlock the potential of their data that is their in different silos. How do first-party data, artificial intelligence, and personalized banking experiences tie into the bigger picture?  I recently got to speak with Rich Edwards, CEO of Mindspan Systems, to demystify these concepts. His insights, shaped by early experiences with platforms like IBM Watson and rooted in a deep understanding of data strategy, shine a spotlight on the path forward for financial institutions. Today’s Guest: Rich Edwards, CEO, Mindspan Systems Website: Mindspan Twitter/X: Rich Edwards What You'll Learn

In today's fast-paced digital age, bonding moments come in various forms - playing a new video game or watching the latest viral video. Yet, Sam Keller and his 12-year-old son, Kaz Keller, have taken this bonding to an entirely new level. They're navigating the rough waters of artificial intelligence, particularly with OpenAI's ChatGPT. But what's more fascinating is how this tech journey reshapes Kaz's young world, from bolstering his leadership skills to conquering the age-old fear of public speaking. Every parent can relate this journey to their kids and how such activities can be treated as extracurricular activities that enable kids to learn in this high-paced world. When we think of artificial intelligence or ChatGPT, we often picture seasoned tech enthusiasts or professionals behind keyboards. Rarely do we envision a vibrant 12-year-old eager to absorb and share this knowledge. This Story, however, is that rare gem. A seasoned tech enthusiast has turned their shared interest into an enriching ex

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

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 n

In today’s rapidly evolving technological landscape, the term “AI Frontier” is more than just a buzzword; it represents the uncharted territories of innovation and possibilities that AI promises. As organizations worldwide stand on the cusp of integrating AI into their core operations, the quest for knowledge on navigating this frontier becomes paramount not only for the organizations but for an individual how to navigate and start taking action to learn and grow. Our guest today has ventured into this frontier and laid down markers, guiding others through his profound insights and groundbreaking work. As we dive deeper into today’s discussion, you will be privy to a firsthand account of the challenges and triumphs at the forefront of AI development. From understanding the nuances of AI integration to decoding its vast potential across sectors, our thought leader will shed light on the intricacies that organizations grapple with. How do businesses discern hype from genuine AI opportunities? What does it take

Wondering if your business is ready for the AI revolution and if you are already aligned with AI strategy? You are not going to join the race of AI/ML just for the sake of AI/ML. These are the common questions that come to nowadays in everyone's mind that I need to get on the bus of AI/ML and my organization or the business should not be left behind. Whereas some fundamentals need to be looked into before embarking on this journey, and in this open talk with the guest, we tried to find out some of the questions and answers which can help you. We need to start with the basics. First, ask yourself if your business goals are driven by data. Do you have a robust data infrastructure? Can you readily access and analyze relevant and high-quality data? Are you able to act on the insights this data provides? If you nodded along, you're already on the path to becoming AI-ready! Now, let's talk about aligning AI and data analytics with your business goals. Maybe you want to drive up sales, streamline operations, or

In today's rapidly evolving corporate landscape, continual learning and upskilling have become crucial for career advancement. Various educational options are available to professionals, each offering unique benefits, from corporate organizations to opting for MOOCs or having formal degree programs. The debate between colleagues and friends often refers to two main paths: a formal degree versus hands-on experience. In this Podcast, I will cover higher degrees during a professional career and how I decided to go for it. Finally, after a break of six months due to my university dissertation, I am back to writing blogs and podcasts. What is happening in the corporate world concerning degree programs while working? Why is upskilling essential? What are the options available? Or how usually it is being considered. Choosing Your Path: The decision to pursue higher education can be complex, with common considerations such as MBA programs versus technical degrees. This dilemma often feels like a roller c

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

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

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,