Google Cloud Machine Learning & AI
Unleash the power of Google Cloud Advanced Analytics. Reimagine your business.
intelia's Google Cloud Platform (GCP) Machine Learning & AI Practice
intelia has a market leading Machine Learning and AI Practice focussed on delivering solutions leveraging Google Cloud Platform. At its core, we utilise the power and scale of GCP’s Vertex AI ensuring a flexible, open, and secure analytics platform that provides the easiest path to becoming an intelligence-driven organization. It builds on Google’s decades of innovation in AI and building internet-scale services, and is based on the same proven and reliable technology principles that power Google’s services (e.g. Search, Gmail, Maps, YouTube). Organizations choose Google Cloud to build their data cloud for its ability to fuel data-driven transformation like no other solution on the market today.
Predictive Analytics (ML & AI)
Predictive analytics is the use of historical data, statistical algorithms, predictive modeling, and big data machine learning techniques to help organizations predict future outcomes more accurately, plan for unknown events, and discover opportunities in future activities.
Data Warehouse
Data-driven companies require robust solutions for managing and analysing large quantities of data across their organizations. These systems must be scalable, reliable, and secure enough for regulated industries, as well as flexible enough to support a wide variety of data types and use cases. The requirements go way beyond the capabilities of any traditional database. That’s where the data warehouse comes in.
Generative AI (GenAI)
GenAI is causing a massive wave across almost every industry, and this is causing significant confusion for organisations embarking on a data journey. Many of the use cases organisations identify to address data challenges can be categorised into three main groups. Having a clear understanding of which solution to apply to your problem will enable you to efficiently classify and prioritise them.
intelia can provide you with comprehensive insight into GenAI and its applications on Google Cloud, equipping you with the knowledge and tools to leverage this cutting-edge technology for your organisation. Additionally, we have out of the box GenAI solutions built directly on Google Cloud – leveraging a number of foundational models including:
- Gemini API: Advanced reasoning, multiturn chat, code generation, and multimodal prompts.
- PaLM API: Natural language tasks, text embeddings, and multiturn chat.
- Codey APIs: Code generation, code completion, and code chat.
- Imagen API: Image generation, image editing, and visual captioning.
- MedLM: Medical question answering and summarization.
ETL
ETL stands for extract, transform, and load and is a traditionally accepted way for organizations to combine data from multiple systems into a single database, data store, data warehouse, or data lake. ETL can be used to store legacy data, or—as is more typical today—aggregate data to analyze and drive business decisions.
Business Intelligence
Business intelligence (BI) is the process of using the power of people and technologies to collect and analyse data to be used by organisations in their strategic and daily decision-making processes.
Data Governance
Data governance is a principled approach to managing data during its life cycle, from acquisition to use to disposal.
Every organisation needs data governance. As businesses throughout all industries proceed on their digital-transformation journeys, data has quickly become the most valuable asset they possess.
Data Integration
Data integration is the process that brings these separate data collections together in order to generate higher data value and insights.
Data integration is especially important as your business pursues digital transformation strategies, since your ability to improve operations, boost customer satisfaction, and compete in an increasingly digital world requires insight into all your data.
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