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Google Cloud Next '23: the Maps perspective Google's flagship annual cloud conference ‘Google Cloud Next’ took place last week in San Francisco, and we are excited to share that, the many product announcements included the launch of three new environmental-focused APIs for Google Maps Platform - Air Quality API, Solar API, and Pollen API. Expanding the commitment to sustainability, Google is introducing these new products within the Google Maps Platform that leverage the power of ML and AI. Coupled with aerial imagery and environment data, these products offer real-time information about solar potential, air quality, and pollen levels. This technology empowers developers and organisations to create tools that accurately map and mitigate environmental impact. Learn more:
Google Cloud Next London '23 – the round-up Inspiration. Innovation. Education. The three words that underpinned Google Cloud Next London ‘23. Taking place across Wednesday 11th and Thursday 12th October at Tobacco Dock, London, this event brought together professionals to discuss challenges, solutions, ideas and game-changing solutions. Google Next London covered the latest from across the Google ecosystem, echoing the 161 announcements made at San Francisco’s Google Cloud Next ‘23. Learn more:
Unlocking Insights from Complexity: A Guide to Unnesting GA4 Data What is Google Analytics data? Google Analytics 4 (GA4) is the next generation of Google Analytics. In Google Analytics, a property is a website, mobile application, or blog, etc. that is associated with a unique tracking ID. GA4 is a new property with a new data model, reports, and features. GA4 is designed to give you a more complete picture of your customers across devices and platforms. If you're looking for a more comprehensive and predictive view of your customers, then GA4 is the right choice for you. Not only is website and app data available, but the data is event-based rather than session-based in order to better understand your customer’s journey. GA4 also includes privacy control such as cookieless measurement, and behavioural and conversion modelling. Learn more:
Why every company should have an AI policy As generative AI services have become increasingly accessible to a wider audience, it's more important than ever for businesses to set out a guiding framework that supports its usage. This framework should comprehensively address the potential pitfalls in relation to AI and security, ethical, legal, and data protection yet it should not be so restrictive that it stifles innovation. Many businesses are finding that while AI is an exciting and dynamic area of growth, it also introduces some new challenges and scenarios that may not be covered by existing company policies. Learn more:
Data Lake(house) vs Data Warehouse: a comparison What is a data warehouse? A data warehouse is the backbone of data-driven decision-making in modern organisations. It's a highly structured repository designed to store, consolidate, and manage data from various sources across the organisation. Think of it as a meticulously organised library where data is cleaned, transformed, and made readily accessible for analytical and reporting purposes. At Ancoris, we use Google Cloud Platform (GCP) to implement the ingestion, cleaning, transformation and serving of data (with a data warehouse) according to the diagram below. Learn more:
The Crucial Role of Managed AI Services in Harnessing the Power of AI Artificial Intelligence (AI) has now clearly emerged as a transformative force across industries, driving innovation, efficiency, and competitiveness. However, something that’s not being thought about by a lot of businesses (yet) is that the ongoing improvement, optimisation and maintenance of AI technologies can pose significant challenges. This makes Managed AI Services an area of key strategic importance for the future. Learn more:
