Machine Learning
Machine learning (ML) represents today’s most widely valued mechanism for reaching intelligence. It is a subfield of artificial intelligence. Instead of relying on explicit programming, it is a system through which computers use a massive set of data and apply algorithms to “train” on — to teach themselves — and make predictions.
Machine Learning for Healthcare
Doctors and medical practitioners will soon be able to predict with accuracy on how long patients with fatal diseases will live. Medical systems will learn from data and help patients save money by skipping unnecessary tests.
Machine Learning for Finance
The application of ML in the Finance domain helps banks offer personalized services to customers at lower cost, better compliance and generate greater revenue.
Machine Learning for Retail
Retailers need a solution that can analyze data in real-time and provide valuable insights that can translate into tangible outcomes like repeat purchasing. ML algorithms process this data intelligently and automate the analysis to make this supercilious goal possible.
Machine Learning for Travel
The travel industry leverages ML to analyze real-time data, trends and provide predictive modeling to provide insights into tourist behaviors, hotel reservations, and hotspot locations.
Machine Learning for Social Media
ML offers the most efficient means of engaging billions of social media users. From personalizing news feeds to rendering targeted ads, ML is the heart of all social media platforms for their own and user benefits. Social media and chat applications have advanced to a great extent that users do not pick up the phone or use email to communicate.
Machine Learning for Industries
In the automotive sector, ML is being used to improve industrial processes. As an example, factories carry out predictive analysis of component durability and in the early identification of anomalies and defects.
In installations and energy management, ML in this area is developing smart networks or smart grids.
Train models without code
Take advantage of AutoML to build models in less time. Use Vertex AI with state-of-the-art, pre-trained APIs for computer vision, language, structured data, and conversation.
Build advanced ML models with custom tooling
Vertex AI’s custom model tooling supports advanced ML coding, with nearly 80% fewer lines of code required to train a model with custom libraries than competitive platforms.
Make faster decisions using data
Improve operational efficiency by extracting structured data from unstructured documents and making that available to your business apps and users.
Google named a Leader in The Forrester Wave™: AI Foundation Models for Language, Q2 2024
We are excited to announce that Google is a Leader in The 2024 Forrester Wave™: AI Foundation Models for Language, Q2 2024, receiving the highest scores of all vendors evaluated in the Current Offering and Strategy categories.
In this report:
- Why Google is named a Leader in AI Foundation Models for Language
- Where the AI Foundation Models for Language market stands today, and where it is going
- How Google Cloud’s capabilities compare with other vendors in the market
Access your complimentary copy of the report and gain a comprehensive view of the AI foundation models for language market.
Google named a Leader in The Forrester Wave™: AI Infrastructure Solutions, Q1 2024
We are excited to announce that Forrester Research has recognized Google as a Leader in The Forrester Wave™: AI Infrastructure Solutions, Q1 2024. We believe this is a testament to Google’s vision and strong track record of delivering continuous innovation in AI infrastructure.
In this report:
- Why Google is named a Leader in AI infrastructure
- Where the AI infrastructure market stands today, and where it is going
- How Google Cloud’s capabilities compare to other cloud providers
- What contributed to Google Cloud receiving the highest score in both Current Offering and Strategy categories among all vendors evaluated
Access your complimentary copy of the report and gain a comprehensive view of the AI infrastructure solutions market.