IBM and the World Wide Fund for Nature (WWF) Germany have announced a groundbreaking collaboration aimed at developing an artificial intelligence (AI) solution to support the conservation of critically endangered species, starting with the African forest elephant. This initiative combines IBM's technological expertise with WWF's conservation knowledge to leverage AI for enhanced species monitoring and protection, contributing to environmental sustainability and climate change mitigation.

The U.S. National Institute of Standards and Technology (NIST) has released the world’s first post-quantum cryptographic standards, marking a significant advancement in securing data against future quantum computer attacks. These new standards include three cryptographic algorithms developed by IBM in collaboration with industry and academic partners, designed to safeguard data from the emerging risks associated with quantum computing.

Embedded AI integration with MATLAB and Simulink allows systems to process data and make decisions locally, improving efficiency and reducing latency. This article explores what Embedded AI is, the benefits of using MATLAB and Simulink for its development, and promotes participation in a key webinar on the topic.

Snowflake has announced the general availability of its enhanced RANGE-based window frame functionality, designed to accelerate time-series analytics. This new feature allows companies to efficiently calculate rolling statistics, even when dealing with gaps or nonuniform time-series data. By eliminating the need for cumbersome data preprocessing, this solution offers a faster, SQL-compliant alternative. Businesses across various industries are rapidly adopting this technology to improve their performance analysis, demand planning, fraud detection, and more.

Databricks has launched the Generative AI World Cup, a global hackathon inviting data and AI professionals to develop cutting-edge Generative AI applications that solve real-world problems. Participants will compete for over $50,000 in prizes, with opportunities for skill development and exclusive access to the Data and AI Summit 2025. Teams of 2 to 4 members will create innovative solutions, supported by Databricks’ resources and expert guidance, with submissions due by October 18, 2024. This event promises to be a showcase of creativity and technological advancement in the AI space.

In today's rapidly evolving financial services landscape, the pursuit of operational efficiency and robust risk management is essential for staying competitive. Financial institutions are increasingly turning to innovative solutions to streamline operations, meet regulatory demands, and deliver superior customer experiences. TIBCO stands out as a key partner in this journey, offering cutting-edge tools and platforms that empower banks and wealth management firms to navigate the complexities of the digital era with confidence. This article explores how TIBCO's advanced capabilities are driving operational excellence, mitigating risks, and positioning financial institutions at the forefront of industry innovation.

Discover Tableau’s VizQL Data Service, a new feature that allows users to make programmatic API requests for published data from Tableau.

The service enables you to request exactly the data you need, without being tied to any existing view or dashboard. This opens up a range of possibilities, from extracting a subset of columns to customizing data visualization for applications.

Key Benefits:
Programmatic access to Tableau data.
Ability to create custom experiences and workflows.
Filter, sort, and aggregate data on-demand.
This new service introduces a paradigm shift in Tableau, offering a controlled and precise way to provide data to users.

Amazon Redshift is a fast, scalable, and secure cloud data warehouse. It now allows programmatic access to Redshift Advisor recommendations via an API. This makes it easy to integrate suggestions for improving your cluster's performance into your applications. Advisor recommendations are based on the analysis of performance and usage metrics, helping to optimize performance and reduce operational costs.

The ListRecommendations API enables you to implement these recommendations on-demand or automatically. This approach allows you to receive recommendations without needing access to the Redshift console, improving the efficiency and productivity of data management.