Over the past several years, the field of artificial intelligence has transformed dramatically—from solving challenges once deemed insurmountable to igniting debates about the arrival of Artificial General Intelligence (AGI). Reflecting on this journey offers not only a look back at how far AI has come but also a glimpse into the future and what it means for industries and business leaders.

The world of AI is constantly evolving, with new models and innovations emerging at a rapid pace. One of the latest breakthroughs to make headlines is DeepSeek-R1, an open-source AI model developed by the Chinese startup DeepSeek. This model has garnered significant attention for its impressive performance, rivaling that of OpenAI's o1, while being offered at a significantly lower cost . In this article, we'll delve into the details of DeepSeek-R1, exploring its features, capabilities, and the technology behind its cost-effectiveness.

Imagine having a personal assistant that fetches the latest news and sentiment about your favorite companies faster than you can say, “What’s the stock ticker for Tesla?” With Custom Actions in ChatGPT and the Alpha Vantage News & Sentiment API, you can build exactly that—a tailored news and sentiment aggregator designed to keep you informed without drowning in data. Here’s how to set it up.

Industry chatter suggests that Perplexity AI might join forces with TikTok’s U.S. operations in a bid that could significantly alter the tech landscape. This rumored partnership goes beyond standard corporate deals: it might secure TikTok’s shaky foothold in the American market while catapulting Perplexity AI into a global spotlight. If successful, the merger would fuse TikTok’s colossal user community with Perplexity’s cutting-edge AI capabilities, creating a powerhouse that could disrupt the status quo—or turn into a costly miscalculation. Either way, the tech world is watching closely, with big questions about the potential impact on innovation, competition, and regulations.

OpenAI’s new “Tasks” feature for ChatGPT might look like a modest update on the surface—just a way to schedule reminders or routine actions. But if you read between the lines, it’s a signal that AI is inching closer to becoming a proactive assistant rather than just a chatty companion. Think of it as an early stage in the evolution from “AI that reacts” to “AI that acts.”

Artificial Intelligence (AI) has made significant strides in natural language understanding, a key area that enables machines to interpret and respond to human queries effectively. One of the core challenges in this domain is understanding the context of a query. In this article, we'll explore how AI systems process and leverage context to provide accurate and meaningful responses.

In the era of data-driven decision-making, having access to quality data can be the difference between a successful marketing campaign and one that misses the mark (or worse, becomes the subject of a Twitter roast). But acquiring high-quality marketing data isn't always easy. Privacy regulations, budget constraints, and limited access to diverse datasets can pose significant challenges. That’s where synthetic data swoops in like a data superhero.

Text data is like the caffeine of the AI world—it powers everything from chatbots to recommendation systems. But if your data isn't properly formatted, you could end up with a jittery mess instead of a smooth, efficient pipeline. In this blog, we’ll explore the essentials of prepping text-based data for AI with tips that are practical, effective, and sprinkled with a little humor.

Artificial intelligence has progressed at a remarkable pace, shifting from narrowly focused models to more general systems capable of understanding and interacting with complex, dynamic environments. At the forefront of this transformation are world models, a class of AI architectures designed to build internal representations of the world and use them to simulate, reason, and plan. While still in their early stages, world models represent a significant leap towards human-like intelligence—an approach that could profoundly impact fields ranging from robotics and creative prototyping to advanced AI research.

If you’ve ever had to decode an email subject line like “Sure, sounds great” only to realize it’s the written equivalent of a sigh, you’ll appreciate the value of sentiment analysis. With AI, we can automate the Herculean task of parsing human emotions, but as any seasoned data scientist will tell you, it’s not just about building the model—it’s about measuring its effectiveness. Let’s dive into strategies for measuring sentiment analysis that are both rigorous and relatable (yes, even for non-AI enthusiasts).

In a recent reflection, Sam Altman, CEO of OpenAI , shared candid insights from the company’s journey—one that has quickly transformed from an obscure research lab to a global AI powerhouse. From being “fired” one Friday (and reinstated shortly thereafter) to scaling products used by hundreds of millions of people, Altman’s story offers vital lessons for business leaders everywhere.

Marketing tactics change rapidly and understanding your customers isn’t just an advantage; it’s a survival strategy. Among the many metrics that keep marketers awake at night, Customer Lifetime Value (CLV) can give marketers a lot of anxiety. Enter AI: the marketing wizard that can take your CLV game from guesswork to greatness. Let’s unpack how.

In the fast-paced world of private equity, efficiency and precision are critical. Deal memos—those all-important documents that summarize key aspects of a completed deal—are the unsung heroes of the industry. They’re essential for record-keeping, internal communication, and stakeholder reporting. But let’s be honest: writing them can be about as much fun as watching paint dry. So let's have artificial intelligence do it for us by using a custom GPT. 

As digital marketing grows increasingly data-driven, marketers need tools that can not only process vast amounts of data but also generate actionable predictions. Enter the dynamic duo of data wrangling: BigQuery and Vertex AI. Together, they’re like the Batman and Robin of predictive analytics—minus the spandex.

Tired of making the same old New Year's resolutions, only to abandon them by February? This year, things are going to be different. Why? Because you've got a secret weapon: Artificial Intelligence!

Imagine having a new hire who can outsmart your top performers, analyze data faster than your entire analytics team, and generate innovative ideas you haven't even thought of. That's the potential of OpenAI's latest model, o3.

OpenAI just delivered a holiday surprise during its "12 Days of Christmas" event: the ability to call ChatGPT. Yes, you heard that right. Your favorite AI can now talk to you—over the phone just like the olden days. Whether this makes you feel like you're living in a sci-fi novel or questioning reality as we know it, there's no denying this feature marks a significant leap forward in conversational AI.

The holiday season is always a time for surprises, and this year OpenAI didn’t disappoint. As part of ChatGPT’s “12 Days of OpenAI,” the new search on steroids feature was unveiled on Day 8. It’s a groundbreaking tool that redefines how users interact with AI and information.

If you’ve ever struggled to keep track of your team’s work, juggle multiple tasks at once, or ensure everyone has the right access to the right tools, OpenAI’s new “Projects” feature for ChatGPT might be a game-changer. Designed to make AI-powered work more organized, secure, and easy to manage, Projects helps businesses run more smoothly—without requiring you to be a tech expert.

Google has unveiled Gemini 2.0, the latest iteration of its advanced AI model, marking a transformative step in the evolution of artificial intelligence. Designed to enhance speed, multimodal capabilities, and autonomous functionality, Gemini 2.0 is poised to revolutionize how AI integrates into everyday tools and professional applications.