AI and Machine Learning
AI and Machine LearningThe hidden cost of SaaS, what your licence is really buying you
The true cost of enterprise SaaS goes well beyond the licence fee. How to see the full picture before your next renewal.
AI and Machine LearningWhy the build-vs-buy decision is changing and what to ask at your next renewal
AI has shifted the economics of what organisations can build vs buy. A decision framework for evaluating your next SaaS renewal with clear eyes.
AI and Machine LearningWhich Google Cloud services does your organisation actually need?
Which Google Cloud services does your organisation need? See how the core data services fit together and what to leave switched off.
AI and Machine LearningEnterprise data management: strategy and best practices
Learn what enterprise data management is, how a strategy comes together, and how to keep data governed, reliable and usable as you scale.
AI and Machine LearningWhen did your data platform stop making sense? A governance checklist
Signs that your data platform has outgrown its original design, and the questions worth asking before you start the next sprint.
AI and Machine LearningWhy AI Budgets Get Approved Before AI Strategies, And What It Costs
AI budgets get approved before the harder question is asked: is the data actually ready? Here's how that sequencing plays out, and what it typically costs to course-correct twelve months in.
AI and Machine LearningWhat AI-Ready Data Actually Looks Like: A Practical Checklist
Most AI projects don't fail because of the model, they fail because the data wasn't ready. Here are the five things your data needs to be before your next AI initiative.
AI and Machine LearningBuild vs. Buy in the Age of AI
Explore how AI is changing SaaS replacement decisions and when organisations should buy, build, or own workflows around their data.
AI and Machine LearningWhat Changes in Your Architecture Once Claude Is Introduced
Explore how Anthropic Claude is transforming organizational architecture, enhancing data interaction, and streamlining workflows.
AI and Machine LearningData ownership: Why it’s a leadership problem, not a technical one
Data Mesh only works when ownership is clear. Without it, platforms become more complex without improving reliability.
AI and Machine LearningHow Much Autonomy Should AI Agents Have?
Understand where AI agents can act autonomously and where human judgment is required to maintain accountability and control.
AI and Machine LearningMaking AI Agents Governable Through Observability
Learn how logging, traceability, and dashboards make AI agents observable, auditable, and governable.
AI and Machine LearningWhat to Consider When Building Trustworthy AI Agents
Learn how guardrails, approval matrices, and risk-based boundaries keep AI agents secure, controlled, and production-ready from day one.
AI and Machine LearningData & AI Trends for 2026: Lessons from our Google Cloud Projects
Explore the Data & AI in 2026 through Crystallds' insights on agentic commerce, real-time intelligence, and warehouse-native CDPs, on Google Cloud.
AI and Machine LearningConnecting Legacy Systems to Google Agentspace: A Practical Guide
Learn how to integrate legacy systems with Google Agentspace using Google Application Integration for robust, secure, and reliable AI-driven processes.
AI and Machine LearningArchitecting Conversational AI Agents for Production
Transform your conversational AI agent from a prototype into a scalable, secure, and reliable production system with our key architectural principles.
AI and Machine LearningAI-Ready Data Is Great, But Your Conversational AI Still Needs Learning
Learn why having AI-ready data isn't enough. Discover how to effectively train your conversational AI for accurate, context-aware business insights.
AI and Machine LearningHow to Set Up Your Conversational AI Agent
Learn how to effectively set up a conversational AI agent to interact directly with your business data for quick and accurate insights.
AI and Machine LearningIs Conversational AI the New Dashboard?
Discover how conversational AI is changes business data exploration by providing instant answers to your specific questions.
Google CloudGoogle Gemini: Setting a New Standard in AI Innovation
Explore the innovative world of Google Gemini: Discover how this advanced AI model excels in understanding text, images, audio, and video.
AI and Machine LearningHow to Navigate the Challenges of AI Implementation in Finance
Discover practical strategies for successful AI implementation in finance. Overcome challenges, improve ROI and embrace best project management practices.
AI and Machine LearningTransforming Financial Services with Generative AI: Solutions You Need to Know
Transforming Financial Services with Generative AI tools including ChatGPT, Google Vertex AI Search & Conversation, and Duet AI.
AI and Machine LearningInnovative And Practical Generative AI Use Cases In Finance
Explore the Generative AI use cases in finance.Learn how controllers can leverage this tech for efficiency, decision-making, and proactive risk management.
AI and Machine Learning7 Innovative Use Cases for Generative AI in Retail
Discover how generative AI can revolutionize your retail or eCommerce business. Learn about the power of gen AI in customer service and personalization.
AI and Machine LearningWhat is MLOps and why is it important?
Bart Marseille explains how MLOps can be implemented to deliver better business results for a prolonged time.
Google CloudMaking Machine Learning easily available with SQL in BigQuery
Machine learning with SQL in BigQuery
Google CloudComputer vision: today and tomorrow
Computer vision and Google Vision AI are already changing the way we see the world. What are the use cases today and is the future?
AI and Machine LearningHow machine learning improves search engines
Search engines use different steps to optimise search results. One of the secrets of search engines is Machine Learning.
AI and Machine LearningArtificial Intelligence - Curse or Blessing?
AI and ML are already part of our daily lives and help us in many situations, but is Artificial Intelligence good or bad?
AI and Machine LearningBuild machine learning models on BigQuery ML using SQL
Predicting outcomes in keyword searches, detecting objects from images or creating customer segmentation are just a few examples what can be achieved with machine learning. Google BigQuery ML now makes it possible for data analysts to build ML models using SQL.
AI and Machine LearningWhy you should start using machine learning to grow your business
If you have ever misspelt a word on Google and got a correct result, you have experienced machine learning in practice. It is a hot topic nowadays as businesses start to take advantage of big data and explore new ways to improve their interactions with customers and grow revenue.
Google CloudFace recognition is 99% accurate
Face recognition is used in various ways from catching criminals to finding lost children or uncovering digital thieves. It also opens new areas for creative marketing. Several advertising campaigns have been launched using this powerful tool to target the audience with the right message.
Google CloudPreparing Your Business for Voice Search
Voice search is changing the way people look for information. It is predicted that within two years, more than a third of all searches will be done via voice assistants. Is your business ready for this change?
AI and Machine Learning4 technology trends that are already shaping the future of the travel and tourism sector
The modern customer of the travel industry is digital orientated, and expects a fully personalized and smooth running online experience. Here's a list of the 4 innovation trends that you have to start investing in now.
AI and Machine LearningA matter of trust - Why we are afraid of self driving cars and why we shouldn't be.
A matter of trust - Why we are afraid of machines driving us around, and why we shouldn't.
AI and Machine LearningThe rise of the smart home speakers - What can we expect?
With every big tech player involved, what can we expect from the rise of the smart speakers and smart home tech that is being released everywhere?
AI and Machine LearningThe 5 most interesting Machine Learning & AI articles of last month
Every month we select the five best articles about machine learning and artificial intelligence. This month was all about looking back and predicting the future
Google Cloud4 reasons why the Google Cloud is the most sustainable data storage option.
The cloud can be environmentally friendly. However, it's important to choose the right provider. Google used the energy of their data centre as efficient as possible.