Business is moving at warp speed, and go-to-market teams are struggling to keep up. Marketing tactics that worked last year are now obsolete. Sales playbooks that used to be reliable are outdated. Customer service expectations have skyrocketed beyond what most teams can handle.
AI is driving these shifts, and while it has the promise to be transformative, SMBs are overwhelmed with the onslaught of AI tools and updates. Three out of four leaders admit that they feel like they’re falling behind on AI.*
Last year, HBR published a piece on how people are using gen AI. Much has happened over the past 12 months. We now have Custom GPTs—AI tailored for narrower sets of requirements. New kids are on the block, such as DeepSeek and Grok, providing more competition and choice. Millions of ears pricked up as Google debuted their podcast generator, NotebookLM. OpenAI launched many new models (now along with the promise to consolidate them all into one unified interface). Chain-of-thought reasoning, whereby AI sacrifices speed for depth and better answers, came into play. Voice commands now enable more and different interactions, for example, to allow us to use gen AI while driving. And costs have substantially reduced with access broadened over the past twelve hectic months. With all of these changes, we’ve decided to do an updated version of the article based on data from the past year. Here’s what the data shows about how people are using gen AI now.
Competing on features alone is a race to the bottom, leading to commoditization. There's a better way. By applying the Jobs-to-be-Done (JTBD) framework, CRM vendors can shift their focus from incremental feature improvements to understanding and solving the core progress customers are trying to make. This isn't just about CRM; it's about enabling customer success. It involves looking beyond the current toolchain and understanding how to potentially elevate the level of abstraction – simplifying the customer's world by getting a higher-context job done more effectively.
The secret to making AI actually useful? Asking the right questions. A lazy prompt gets you a lazy answer. A smart one is where the magic happens. Here are three power-packed AI prompts to start using today.
When thinking about a large language model input and output, a text prompt (sometimes accompanied by other modalities such as image prompts) is the input the model uses to predict a specific output. You don’t need to be a data scientist or a machine learning engineer – everyone can write a prompt. However, crafting the most effective prompt can be complicated. Many aspects of your prompt affect its efficacy: the model you use, the model’s training data, the model configurations, your word-choice, style and tone, structure, and context all matters. Therefore, prompt engineering is an iterative process. Inadequate prompts can lead to ambiguous, inaccurate responses, and can hinder the model’s ability to provide meaningful output.
When you chat with the Gemini chatbot, you basically write prompts, however this whitepaper focuses on writing prompts for the Gemini model within Vertex AI or by using the API, because by prompting the model directly you will have access to the configuration such as temperature etc.
This whitepaper discusses prompt engineering in detail. We will look into the various prompting techniques to help you getting started and share tips and best practices to become a prompting expert. We will also discuss some of the challenges you can face while crafting prompts.
A great product doesn’t need a lot of words, that’s why we ask our customers to share with us their achievements using Crono.
In this customer story, you’ll read about how WeRoad doubled its sales results, integrating Crono in all teams worldwide.
So per Forbes for the first time there are over 3,000 Billionaires in the world. Tech is heavy on the list, and #1 is Elon Musk.
When I started in SaaS, it was tough to imagine many B2B billionaires, as most SaaS companies were lucky to IPO at a $1 Billion valuation. So founders might make $100m on paper.
But today, many SaaS leaders are worth $10B, $20B, $40B or more. So net worth … has gone up.
When we talk about aging well, what exactly does that mean? Though “looking good for your age” or “wrinkle-free” may spring to mind, what’s going on inside is what truly matters most. What good is making it into your nineties if you’re battling disease for half your life? In the longevity world, truly aging well means being able to do the things you want to do, right up to the very end with health and vitality.
