Ethical AI in data practices: Balancing innovation and privacy
AI has quickly emerged as the technology of this century, promising to revolutionize industries like healthcare, finance, and retail. But as the power of AI grows, so does the complexity of ethical...
View ArticleDriving Relevant GenAI / LLM Outcomes with Contextual Continuity
As GenAI tools like ChatGPT become increasingly popular for problem-solving and decision-making, users often face a critical challenge: navigating the vast expanse of knowledge within Large Language...
View ArticleLarge action models and the promise of true agency
Image by Gerd Altmann from Pixabay In September 2024, Salesforce AI Research EVP and Chief Scientist Silvio Savarese posted at the Salesforce 360 site on the rise of large action models (LAMs). Among...
View ArticleDeepfake Technology: A useful tool or a growing threat for businesses?
There is a popular saying that seeing is believing. With so many fake videos circulating online, it’s hard to tell real from fake. So, is seeing truly believing? In this article, we will look closely...
View ArticleData science implications of a second gilded age
Wirestock on Freepick Mark Twain coined the term The Gilded Age when he published his 1873 novel The Gilded Age: A Tale of Today. Between 1870 and 1914, the US experienced an unprecedented amount of...
View ArticleRevolutionizing product management with AI: Exploring innovation, machine...
AI has revolutionized product management by increasing creativity, efficiency, and market relevance. AI is our greatest technological advancement. Modern technology relies on AI subsets DL and ML....
View ArticleLet’s Get Small! Nanoeconomics to Address Economic Welfare Loss
Much like Alice in Alice in Wonderland, who drank from the “Drink Me” bottle and shrank to explore a world she couldn’t access before, nanoeconomics invites us to think small—delving into the granular...
View ArticleWhat happens when you click “Accept All Cookies”?
People Don’t Want Cookies—But Accept Them Anyway We’ve all been there. You visit a website for the first time, and a pop-up asks you to “accept all cookies.” At that moment, you’re faced with two...
View ArticleLLMs, mobile e-commerce: Where-to-sell-AI, for new business marketplaces
How does an entrepreneur know that the products or services of the business are needed at some location? What is the possibility of stretching the marketplace of a business into new directions of...
View ArticleDeconstructing Generative Adversarial Networks and synthetic data
The utility derived from the Generative Adversarial Network (GAN) approach to advanced machine learning is less celebrated than that gained from its language model counterparts. GANs have not...
View ArticleA vision for the future of AI: Guest appearance on Think Future 1039
As someone who has spent years navigating the exciting and unpredictable currents of innovation, I recently had the privilege of joining Chris Kalaboukis on his show, Think Future. For those...
View ArticleHow should AI companies compensate content creators for used training data?
Contents [from] which base AI models were trained, by contemporary creators of varying categories, with an expectation that their contents would be monetized, may have one possible option, amid others,...
View ArticleLLM 2.0, RAG & Non-Standard Gen AI on GitHub
In this article, I share my latest Gen AI and LLM advances, featuring innovative approaches radically different from both standard AI and classical ML/NLP. The focus is on doing better with less, using...
View ArticleEnvisioning the AI Value-creation Maturity Curve – Lessons from the Internet
2025 will be the year when Artificial Intelligence (AI) must prove itself beyond driving mundane, easily replicated productivity improvements. To be successful, AI must fuel organizations’ imagination...
View ArticleBest practices for managing large content libraries
Learn practical tips to organize and manage your content library effectively. From content audits to CMS tools, discover strategies for optimizing, updating, and maintaining your content to improve...
View ArticleQuantum computing’s status and near-term prospects (Part II)
Image by Gerd Altmann from Pixabay Why today’s pre-quantum encryption now faces a Y2K scenario I had the opportunity to attend the Quantum to Business (Q2B) 2024 Silicon Valley event in December 2024,...
View ArticleAgentic AI in motion: Smart command implementation for document management
The synthesis of generative machine learning models and digital agents, which many have dubbed Agentic AI, may well prove the most advantageous development for enterprise-spanning deployments of...
View ArticleWhat is data engineering – Common challenges and solutions
Enterprises and businesses are bound by a vast amount of digital data and traditional methods do not imply any longer. That’s where data engineering services form the foundation to manage data-driven...
View ArticleRevolutionizing real estate through technology and project management
There have been huge improvements in the technological world and the way we work. The real estate market is known for its traditional methods and prolonged adoption of transformations. However, it is...
View ArticleRevolutionizing Analytics with GenAI-Driven Simulation
While much of the focus on using Generative AI (GenAI) has been to improve worker productivity with tools like OpenAI’s ChatGPT and Microsoft’s Copilot, GenAI offers so much more. I wrote about the...
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