Impact of Data AI Literate Citizen

In this episode, we explore the growing phenomenon of technology-based anxiety — the fear, stress, and uncertainty people experience in response to the rapid advancements in technology, particularly artificial intelligence.

We dive into how the speed of innovation is fueling anxiety. Joined by a mental health expert and real-world stories, we take our time to understand anxiety, potential triggers, demographics, and the social and ...

Discover how AI revolutionizes procurement in our latest video, "Top 10 AI Use Cases on Procurement: Transforming the Future!" 🚀 We dive into AI's transformative power, showcasing its incredible impact. Learn how AI enhances efficiency, mitigates risks, and drives sustainability, ensuring your procurement processes are future-ready. Spend Analytics & Opportunity IdentificationSupplier Discovery & Market IntelligenceStrateg...

A quick overview of AI Agents, what they are, examples of where we interact with them today, and how they work.

This content was created with my two daughters in 9th grade. They are experiencing AI from their local county school board, who are developing policies on using AI in school and creating 1 page flyers with an overview of AI.

In summary, my daughters may not understand all there is to know about AI, but they are asking the...

AI technologies impact all of us, no matter where we are in our life journey. From high school students to full-time retirement on the beach, we each have a different perspective. How we navigate forward depends on our own experiences with AI technologies.Meet Devadharshinin in her first interview ever!! She received her bachelor's degree in Data Science and started the M.B.A. program in Business (Artificial) Intelligence in the Su...

'AI technologies' is a generic phrase that combines 7 different types of AI technologies in a broader group. If you are new to AI or interested in a refresher, this is a good use of 15 minutes.

This episode is a debrief and definition of key terms: - AI compared to AI Model - Narrow AI compared to General Intelligent and Super intelligent AIComponents of AI Technologies:- Machine Learning- Deep Learning- Natural Language Pr...

This episode discusses an often overlooked area of data cleansing and its enduring value, even in the age of AI technologies. In our data-driven world, companies are racing to adopt AI to automate processes at the expense of pausing longer to evaluate potential adverse side effects. This is why the human element remains a critical component.

This conversation aims to dive deeper into the benefits of data cleansing with human ...

Julienne B. Ryan shares valuable insights on the importance of effective communication in a digital world post-COVID. She highlights the impact of AI technologies on communication, including the limitations and potential inaccuracies of AI language models like ChatGPT. Ms. Ryan emphasizes the need to balance technology's benefits with the importance of the human experience. In her discussion, Ms. Ryan stresses the significanc...

Adita Karkera, "..motivated and inspired in how the public sector can cater to the needs of our citizens. My heart lies in the public sector." Data.gov was launched in 2009 and is the United States government's open data website. It provides access to datasets published by agencies across the federal government. It wasn't until 2018 that the federal government's mandate became a clear sign acknowledging the ...

The strategy and executive of marketing is not commonly considered in the early part of the product development and lifecycle. The most common reasons include, but not limited to: 1. to ensure the product and service works before taking it commercial (internally or external) and 2. the product or service can evolve during the product development cycle. Our guest, Isabella has an expertise is working with new and emerging product...

From housing data on a single server to global, distributed storage with zettabytes of available data. Over the past 20 years we have continued to modify the underlying architecture to match our desire to store more data. We use this data in consumer hyper personalization, detect vulnerabilities and data breaches, and to have a higher level of confidence in the answers to our questions. As we collect more data to address the ques...

We hear and understand that step 1 in developing a #dataorganization is to clean up the data. This often includes data harmonization from multiples sources, classification, mapping, labeling, etc. Most often it usually stops there. We cleaned it... we are done, right? No, not really. In my conversations with Himali Kumar an IT and Data Executive, new data is constantly be added into the enterprise data set. From information provi...

Bhuva Shaki is the Chief Sustainable Innovation Officer of Bhuva's Impact Global and Global Chief Ethics & Culture Officer (CECO) | Director of the Americas (Not-for-Profit), Women in AI. She embraces the concept of continuous learning and opportunities for personal growth: sustainability, entrepreneurships, private equity, venture capital. All of which intertwine to support her advocacy of others, helping startups expa...

Data is a rich asset. As we push the boundaries of available data beyond Zettabytes and into Bronobytes and Geobytes, how will we achieve accurate data intelligence? According to Forbes, 90% of the world's data was generated in the last two years with 2.5 quintillion bytes data being created each day. Is all data equal, and how much data do we need to address our questions? In talking with Kamal Distell, from Toyota Motor ...

We talk about challenges in moving AI solutions from testing into production or commercialising AI solution for all users internall / externally. We haven't really focused a lot of attention on the other extreme: the data collection and developing the proof of concept.  

Where do you start ?  Ask yourself, what is the outcome you want to achieve? What is the business problem you are trying to solve? Not understanding this is the #1...

My podcast recordings are usually under 30 minutes, but sometimes there is topic that is so fundemental and foundational to how we live our lives every day, the clock is just thrown out. This is one of those topics.  

While there were many 'Ah ha' moments, one moment of enlightenment was just how much carbon is produced for the inefficiency in training an AI model. We looked it up during this podcast. It was shocking. AI is used to...

AI technologies are not new. They only became popular after some time. They have been around for decades.  As a result of supporting components such as cloud architecture and semiconductor chips, using AI technologies has become more accessible. This accessibility brings this topic into the mainstream for discussing positive and negative impacts.  

Aruna Pattam,  Head of AI & Analytics for the Asia Pacific region, is my guest o...

This interview, our discussion, and our views are now a part of the global data set.   

According to Laura, data is impartial. It doesn't have human-like qualities. The unclean data, the unstructured data is the best mirror to ourselves. Ultimately, we are responsible for the data-sets that are pulled into other organizations. i.e. we buy, we post, we upload, we like, we repost. 

We can clean data to redefine a better 'prettier' an...

AI-related projects are not typical IT projects with a traditional waterfall approach.  My conversation with Lisa Palmer, Chief AI Strategist & Ethicist, AI Leaders focused around her recent doctorial thesis and research on 'Artifical Intelligence: Are For-Profit Entities using the "Do the right thing' goverance to drive business results"  

When her customers claimed they were 'doing the right thing', Lisa wanted to take that f...