I’m thrilled to sit down with Dominic Jainy, a seasoned IT professional whose groundbreaking work in artificial intelligence, machine learning, and blockchain has positioned him as a leading voice in the field. With a passion for harnessing cutting-edge technologies to solve real-world challenges, Dominic has been at the forefront of using knowledge elicitation techniques to transform generative AI and large
Imagine waking up to a financial bloodbath where billions of dollars vanish in a matter of hours, leaving investors stunned and markets reeling. That’s the reality for the cryptocurrency world on November 18, as Bitcoin and Ethereum spearheaded a brutal selloff, sending shockwaves through the digital asset landscape. Bitcoin nosedived 5.1% to $90,190, slipping below the crucial $90,000 threshold for
In the sprawling world of academic research, where over 2.5 million papers are published annually, finding the signal amid the noise feels like an insurmountable challenge. Picture a researcher sifting through endless citations, unsure if a highly cited paper is a cornerstone of credibility or a magnet for criticism. This is the reality for many in academia and industries like
Imagine a world where technology doesn’t just respond to commands but anticipates needs, strategizes alongside users, and drives progress with purpose—a seismic shift from the clunky, reactive chatbots of yesteryear. This is the dawn of agentic AI, a transformative force redefining how humans interact with machines in both personal and professional spheres. Unlike static tools that wait for prompts, these
Imagine a world where machines don’t just process data but truly understand the nuances of text, images, and beyond, making decisions with human-like precision across industries like healthcare, education, and logistics. This isn’t a distant dream but a reality being shaped by multimodal AI, a transformative force that integrates diverse data types—text, visuals, and more—to enable smarter, context-aware reasoning. The
Imagine a marketing team drowning in a sea of data, unable to connect the dots because information is scattered across countless platforms and tools, with no clear path to integration. This frustrating reality plagues countless organizations, stunting their ability to make swift, informed decisions. Data silos—those isolated pockets of information—have long been a thorn in the side of marketers striving
Imagine a world where businesses don’t just react to market changes after they happen, but predict them with uncanny accuracy, staying steps ahead of competitors. That’s the reality unfolding today as data science and artificial intelligence (AI) reshape the landscape of market intelligence. These cutting-edge technologies are turning raw data into a crystal ball of sorts, enabling companies to anticipate
Introduction to the KB5070311 Update Review Imagine a world where your operating system feels like a trusted companion, seamlessly adapting to your needs, fixing persistent quirks, and introducing fresh tools to make daily tasks a breeze—until a sudden glitch disrupts the harmony. This is the reality for many Windows 11 users grappling with Microsoft’s latest optional preview update, KB5070311. The
Picture a scenario where artificial intelligence doesn’t just parrot pre-learned information but evolves with every interaction, much like a human mind deepening its understanding over time. This tantalizing vision isn’t a distant dream but a burgeoning reality in the field of AI, thanks to pioneering concepts like Nested Learning (NL). As technology races forward in 2025, the limitations of current
Imagine a staggering reality where nearly 90% of ambitious AI projects launched by enterprises fail to move beyond the experimental stage, leaving millions in investments stranded in the proof-of-concept limbo. This sobering statistic paints a vivid picture of the current landscape, where the promise of artificial intelligence to revolutionize business operations collides with harsh implementation hurdles. Despite the allure of
Imagine a workplace where cutting-edge artificial intelligence tools promise to revolutionize productivity, yet a staggering number of employees quietly sidestep these innovations, clinging to outdated manual methods out of sheer unease. This paradox lies at the heart of a critical trend shaping modern organizations: the persistent trust gap in AI adoption. Despite AI’s potential to transform operations, many workers remain
Setting the Stage for a Market Shake-Up Imagine a landscape where cutting-edge AI tools, once reserved for the elite few, suddenly become accessible to a broader swath of businesses, sparking a frenzy of adoption and innovation. This is the reality unfolding in the enterprise AI sector as Anthropic, a formidable player, has slashed the price of its flagship model, Claude
