Monday, August 26, 2024

Certifications and courses taken

Here is a list of all certifications and courses taken clustered by topics : 

1. Generative AI and Prompt Engineering

  • Advanced Prompt Engineering for Everyone (Vanderbilt University)
  • ChatGPT & Zapier: Agentic AI for Everyone (Vanderbilt University)
  • Generative AI in Marketing (University of Virginia Darden School of Business)
  • Introduction to Generative AI (Duke University, University of Colorado Boulder, Google Cloud Training Online)
  • Generative Pre-trained Transformers (GPT) (University of Glasgow)
  • Navigating Generative AI for Leaders (Coursera)
  • Automated Report Generation with Generative AI (Coursera)
  • Copywriting with ChatGPT: Produce Compelling Copy That Sells (Coursera)
  • AI for Business: Generation & Prediction (Coursera)
  • Responsible AI in the Generative AI Era (Fractal)
  • AI for Everyone (DeepLearning.AI, Coursera)

2. Content Marketing and Copywriting

  • The Strategy of Content Marketing (University of California, Davis)
  • Artificial Intelligence in Marketing (Coursera)
  • Learning to Write Marketing Copy (LinkedIn)

3. Business and Leadership

  • Leadership Skills 2022 - Leadership Academy Foundation Program (SAP)
  • The Manager's Toolkit: A Practical Guide to Managing People at Work (Coursera)
  • Delivering an Authentic Elevator Pitch (LinkedIn)
  • Communicating Persuasively & Building Trust (Stanford University)
  • Creating Powerful Sales Proposals (LinkedIn)
  • Business Writing Principles (LinkedIn)
  • Leadership Academy Foundation Program (SAP)

4. Technical Skills and Programming

  • Python Programming (WorldLearnEasy)
  • Python for Beginners (SAP)
  • Mathematics for Machine Learning: Linear Algebra (Coursera)
  • In Memory Database Management (OpenHPI)

5. Artificial Intelligence and Data Science

  • Natural Language Processing (Coursera)
  • Getting Started with Data Science (SAP)
  • A Crash Course in Data Science (Coursera)
  • AI Awakening: Implications for the Economy and Society (Stanford Online)
  • Introduction to Artificial Intelligence (LinkedIn)
  • Artificial Intelligence for Business (LinkedIn)
  • AI for Everyone (Coursera)

6. Digital Marketing and SEO

  • Search Engine Optimization Fundamentals (Coursera)
  • Introduction to Search Engine Optimization (Coursera)
  • Google Ads for Beginners (Coursera)

7. Specific Technologies and Platforms

  • Generative AI at SAP (SAP)
  • Drive Ignite Transformation Knowledge - Year One Success for ALL Onboarding Experience (SAP)
  • SAP’s Integrated Intelligent Suite (SAP)
  • Hire to Retire Process in the Intelligent Enterprise (SAP)
  • What Can Blockchain Do for You? (SAP)
  • Reimagine Customer Experience with SAP C/4HANA (SAP)

8. COVID-19 and Healthcare

  • COVID-19 Contact Tracing (Coursera)

Monday, July 22, 2024

Generative AI: Videos

Generative AI: Videos

Videos

Title Description
Elevate Your Prompts: A Guide to Superior AI Results Guide on writing effective prompts for AI.
The Role of Humanity in Shaping the Future of AI TED Talk by Mustafa Suleyman on the future of AI.
Goblin Tools Demo Demonstration of the Goblin Tools app.
How GenAI Works Explains how generative AI functions.
How to Write Better Prompts for AI Chatbots Tips on writing better prompts for AI chatbots.
Eric Schmidt on the Future of AI Former Google CEO Eric Schmidt discusses the future of AI.
Prompt Pro Tips 8-minute video with interesting tips on writing prompts.
TED Talk: The Coming Wave Mustafa Suleyman condenses his best-seller 'The Coming Wave' in 20 minutes.
Making PPT and Google Slides in Minutes Using ChatGPT to make PPT and Google slides quickly.
AI Vs AI for Proof Reading A comparison of AI tools for proofreading.
TED Talk by Mustafa Suleyman: The Coming Wave Mustafa Suleyman condenses his best-seller 'The Coming Wave' in 20 minutes.
How to Use ChatGPT for Proofreading A comparison of AI tools for proofreading.
How to Use AI for Content Creation Tips and tricks for using AI to create content.
AI in News Journalism - Curio App An overview of the Curio app and its AI-native tools for news journalism.
AI-Powered Educational Tools by Khan Academy An introduction to AI-powered educational tools developed by Khan Academy.

Generative AI: Courses as Listed In TechSambad

Generative AI: Courses as Listed In TechSambad



Courses

Title Provider Description
The AI Awakening: Implications for the Economy and Society Stanford University Explores the economic and societal implications of AI.
Generative AI Language Modeling with Transformers IBM Provides a deep dive into attention models and transformers.
Use Generative AI as Your Thought Partner Coursera Emphasizes the use of generative AI as a thought partner for executives.
Leveraging AI for Enhanced Content Creation Coursera Focuses on using generative AI in marketing and communications.
Planning a Generative AI Project AWS Offers an overview of technical foundations and essential terminology of generative AI.
Generative AI in Marketing Coursera Covers the role of generative AI in marketing.
Trustworthy Generative AI Google Explains the importance of fact-checking AI outputs.
Introduction to Generative AI Google Covers the basics of generative AI.
Generative AI for Everyone Deeplearning.AI An introductory course to generative AI.
Navigating Generative AI for Leaders Coursera Designed for leaders to understand and navigate generative AI.
Leveraging AI for Marketing and Communications Coursera Enhance marketing and communication strategies using AI tools.
Generative AI for Executives Stanford University For executives to understand the strategic use of generative AI in business.
AI in Marketing: From Hype to Reality Harvard University Explores the practical applications of AI in marketing.

Tuesday, March 19, 2024

The Rise of Generative AI: A Game Changer in Various Industries


This blog discusses the term "artificial intelligence" (AI), its evolution, and its impacts on various markets. The term was first coined in 1955, and over the years, AI has grown to have significant influence in different sectors. For instance, there has been a decrease in writing, customer service, and translation jobs due to AI. However, fields like web designing and video editing have increased demand. In the stock market, companies showing potential benefits from AI have seen growth, like NVIDIA, SAP, Microsoft, and Salesforce.

 The blog also discusses GPT (Generative Pre-training Transformer) and how it reached 100 million users in just two months. The blog states that the growth of AI contributes significantly to global GDP due to increased efficiency in different work processes.

 The evolution of AI runs parallel with the growth of data and computing power. The emergence of the internet in the early 70s and its transition from Web 2.0, where individuals create their websites, to Web 3.0, where we have Amazon and Netflix, has led to an enormous increase in data.

 With the emergence of social media and cloud computing, users have generated even more data, providing valuable information for AI development. Gaming company NVIDIA introduced a GPU processing unit in 2010, boosting computing power and accelerating machine learning concepts.

 Despite AI's remarkable growth, the blog emphasizes challenges, particularly job losses in some sectors. However, the potential for efficiency and economic development with AI is vast and continuing to increase.

Over the past decade, machine learning has revolutionized our world. A new realm of concepts was introduced with various forms, such as supervised, unsupervised, and reinforcement learning, as well as the development of neural networks. However, the complexity and cost of training data was a significant obstacle. This changed in 2017 when the Google Deep Brain team launched a new framework called 'all the attention you need', which drastically reduced the cost and manpower of training data.

 In generative AI, models like GPT have three elements – generative, pre-trained, and transformer. The generative model can create new words, images, and videos, while the pre-trained component is trained automatically without human intervention. The transformer model helps encode and decode commands. Generative AI's capability to create new and original data propels a comet of change across various industries. Applications range from chatbots increasing personal and organizational efficiency to language translation.

 Despite the immense benefits, there are ethical considerations and potential downsides. The most significant concern involves bias issues, which can creep into the AI system. There's also the risk of unethical data usage and environmental impacts due to high energy consumption. Despite these challenges, the future for AI is promising and vast, with continuing advancements and applications in various fields such as image generation and data analysis.

 The training of AI models involves pulling a vast data set from the internet, including publications, social media, programming codes from GitHub, and more. The model is then trained and tested by masking parts of the data and predicting what's missing, creating a "pretrained" model or "brain". Lastly, ongoing input and feedback cause a continuous evolution and fine-tuning of the AI's parameters, making it progressively more intelligent, almost like a human brain.

 Despite all the advancements, it's still a work in progress, and AI still needs to be at the level of human intelligence. However, there's considerable hope and excitement for a future where AI's ability to understand and process information will surpass human capabilities.

 In the artificial intelligence (AI) world, it's crucial to stay relevant and effectively adapt our work processes. With AI capable of performing an increasing number of tasks, it's vital to assess whether AI can complete jobs or if they require a human-based approach. Tasks related to relationship management or conflict resolution remain human activities, whereas AI is ideal for functions centred around generating issues or classifying metadata.

 To maximize AI's potential, we must learn prompt engineering, enabling us to describe our work to AI accurately. While it's predicted that prompt engineering will likely become redundant with the advent of new websites that can write prompts, it's currently an essential AI skill. Equally crucial is continuous learning, adapting ourselves to the rapidly developing AI technologies in the market.

Several high-quality resources, such as the AI podcast Discover Daily, offer invaluable insights into the latest developments in AI. They keep us updated with AI-related news and offer tips and valuable analyses. You can also follow my Newsletter: TechSambad

The shift from AI towards Artificial General Intelligence (AGI) raises crucial questions about its implications. AGI refers to increasingly intelligent systems capable of learning and improving over time. While AGI's capabilities are not fully realized yet, witnessing AI's increasing influence across various sectors suggests that AGI's arrival maybe sooner than we think. Staying up-to-date with these dramatic shifts, continuously learning and growing, is paramount.

 

Saturday, November 19, 2022

A MOOC Review : What Can Blockchain Do for you?

Pic Credit


Blockchain is the kid in the technology block. Is it? We have been reading about it for the last 10 years. The rapid growth of cryptocurrencies and the remarkable rise and fall of currencies have been in the news. A couple of binge-worthy series on Netflix series also piqued my interest in this topic. With all this happening, I wanted a basic understanding of this topic. Some excellent MOOCs on the course did help. These MOOCs did help clear up the basics. I still missed the big picture. 

What Can Blockchain Do for you?
And this course was the one which did clear up some of the basic understandings of how blockchain can be put into business usage. The course instructor Lloyd Keays did a great job breaking up the jargon and explaining it to a layman like me. 

Some of the salient pointers from the course ( for future reference).
1.) It's a new way to share trust.
2.) No database ( no one owns it)
3.) Technology needs to evolve more, especially in NFTs etc
4.) Regulations are needed - whom do we complain?
5.) Lots of technologies to learn - built an index and will learn about them more.

You can access the MOOC here.  In case you are aware of any free MOOC on the blockchain, do put them in the comments section. Also, any feedback as well !!

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Sunday, July 18, 2021

Talk : Traditional Marketing to Digital Marketing - When & how to shift?



A talk given on 11th July, 2021 to Antwalk on role of digital marketing in this new era.


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Sunday, April 18, 2021

Digital Transformation - Here are the three ways it can happen




Part 2 comes after 6 years of the original post - "How to thrive in the world of digitization".

A lot has happened. Internet is now considered an essential service like water and electricity. Almost 4.66 billion people were active internet users as of October 2020, encompassing 59 per cent of the global population (Source). Around 4 Bn people are active social media users. The global cloud market is around 62 Billion in 2020 and is expected to grow at 20 CAGR YoY by 2025.


Lately, I enrolled on MOOC on The Business Opportunities of a Digitally Transformed Economy 

It was a course that talked about how to digitally transform your organization and prepare it to navigate the technology and business changes for the future. Experts talked about many things which can transform our future in the next 5 years. Three things that stood out for me are :


1.) SuperSpeed Connectivity: 

With the advent of 5G, we will unleash new potential for machine-to-machine interactions. New opportunities will evolve as the enhanced speed of data transfer will define new business models. It will unleash a new era of technological progress. A classic example, is refrigerators replenishing food items that are running out of stock.


2.) The emergence of sophisticated algorithms:

New algorithms especially leveraging Machine learning algorithms will be something to watch out for. Here there was a special mention of GPT 3 - an autoregressive language model that uses deep learning to produce human-like text. My personal view - it will have a significant impact in the areas of marketing, customer service, and process-centric business. One of the classic examples can be the machine studying the writing pattern of a user and writing emails/ content on behalf of a user. Looks promising.


3.) Move towards more sustainability:

The new generation faces severe challenges of climate impact. There is more awareness towards making this planet a better place to live. Sustainable products and activities are already getting ingrained in our society and are already seeing results as Sustainable companies outperform other companies. Along with price and quality, the carbon footprint of a product will be something that companies have already started mentioning in their products.


There were also mentions of how humans will elevate their roles to be more business process-centric as machines take up the task of automation more. Internet of Things (IoT) still is very relevant but data interoperability remains in the grey areas as no uniform standards have been set till now.


I frequently write on Enterprise applications and ERP markets. You can reach out to me at @subhankarp