AI is changing the 2024 Olympics, and new EU legislation restricts AI
June 2024 has been a dynamic month for AI and data analytics, marked by significant events, product launches, and industry insights.
Product Launches and Investments
Oracle introduced its HeatWave GenAI, integrating large language models and automated vector stores into databases, enhancing data processing and analytics capabilities.
Onehouse raised $35 million in Series B funding to improve data lakehouse performance, and Cube launched an AI-powered universal semantic layer to unlock trusted data value.
Qlik launched a suite of OpenAI connectors, enhancing its analytics platform with generative AI capabilities. This integration allows users to leverage AI-driven insights directly within their workflows, improving machine learning and natural language processing (NLP) functionalities.
Microsoft announced significant updates to its AI tools and services, particularly within its Azure cloud platform. These enhancements are designed to boost user productivity and business intelligence through advanced machine learning models and data analytics capabilities. Microsoft continues to embed AI into Azure, providing robust tools for building, deploying, and managing AI applications.
Tableau introduced new AI-powered analytics features to enhance data visualization and insight generation. These updates leverage machine learning to automate data preparation and analysis, making it easier for users to uncover trends and make data-driven decisions.
Anthropic unveiled its Claude 3.5 Sonnet, designed to enhance user productivity through advanced generative AI capabilities. This model aims to provide significant improvements in AI-driven tasks and applications.
In today's era of digitalisation, businesses in all sectors are facing new challenges. Competition is intensifying, customers are becoming more demanding and technology is evolving at breakneck speed. To remain competitive, businesses need to change. And one of the key steps along the way may be migrating to the cloud.
The right choice of a business partner is one of the main tasks of any business. The quality of goods or services that the company receives, as well as its reputation, depend on the reliability of the supplier. To make the process transparent and convenient, scoring models for assessing reliability come to the rescue.
Summer is coming to an end, but life in the analytics field is bustling. New vendor announcements, promising projects, and the pervasive penetration of AI into all areas of our lives are paving the way for the upcoming business season.
Maksim Karankevich, Director of Data and Digital Transformation, Ultramar, in his presentation shared his experience of implementing a cellular-based industrial radio network.