Monday, November 25, 2024

AITech365’s Weekly Roundup: Discover the Most Recent News From OpenText, BlackBerry, DataRobot, Teradata!

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Here is AITech365’s Weekly Roundup of the top news from global markets. In this fast-paced world, breaking down information helps readers grasp the nuances that follow the news.

In Analytics news this week…

Teradata and DataRobot Partner to Accelerate Trusted AI Innovation

Teradata announced the new integration of the DataRobot AI Platform with Teradata VantageCloud and ClearScape Analytics. This integration is aimed to help enterprises maximize their AI potential by providing greater optionality and flexibility for building and scaling safe and effective AI models.

In Cybersecurity news this week…

BlackBerry Introduces CylanceMDR Pro: Expansive Platform Ecosystem Powered by AI

BlackBerry Limited announced the launch of CylanceMDR™ Pro, a cutting-edge managed detection and response (MDR) service built on an Open XDR platform powered by AI. Designed to tackle the growing challenges of modern cybersecurity, CylanceMDR Pro overcomes the operational burden facing security teams that must defend against increasingly sophisticated adversaries across expanding attack surfaces with limited resources and talent shortage constraints.

In IT and DevOps news this week…

OpenText Cloud Editions 24.3 Unlocks Innovation and Productivity for Developers and Knowledge Workers Through Trusted Data

OpenText™ announced its latest groundbreaking product innovations with Cloud Editions (CE) 24.3. This release represents a significant leap forward in integrating advanced information management capabilities, trusted cloud solutions, robust security measures, and cutting-edge artificial intelligence (AI) to optimize data performance for simpler, but superior, results.

In Computing news this week…

Untether AI Releases Early Access to imAIgine Software Development Kit Supporting speedAI Inference Acceleration Solutions

Untether AI®, the leader in energy-centric AI inference acceleration, announced the availability of early access (EA) of its imAIgine® Software Development Kit (SDK) supporting the speedAI® inference acceleration solutions.

In Robotic Process Automation news this week…

Skild AI Raises $300M Series A To Build A Scalable AI Foundation Model For Robotics

Skild AI, an AI robotics company building a scalable foundation model for robotics, announced it has closed a $300M Series A funding round. The round was led by Lightspeed Venture Partners, Coatue, SoftBank Group, and Jeff Bezos (through Bezos Expeditions), with participation from Felicis Ventures, Sequoia, Menlo Ventures, General Catalyst, CRV, Amazon, SV Angel, and Carnegie Mellon University. The funding brings the company to a valuation of $1.5B.

In Healthcare news this week…

Eyenuk Appoints Bryan Haardt as Chief Executive Officer

Eyenuk, a global artificial intelligence (AI) digital health company and leader in real-world applications for AI Eye Screening™ and AI Predictive Biomarkers™, announced the appointment of Bryan Haardt as Chief Executive Officer. With over 25 years of experience founding and leading healthcare technology enterprises, Haardt takes the helm at Eyenuk to guide the Company into a new era.

In Generative AI news this week…

Forcepoint Launches Comprehensive GenAI Security

Forcepoint, a global leader in data-first cybersecurity solutions, unveils its comprehensive GenAI Security solution, offering visibility, control, and risk-based data protection across generative AI platforms, including integration with OpenAI’s ChatGPT Enterprise Compliance API.

In Machine Learning news this week…

Edge Impulse Integrates Microchip’s SAMA7G54 Microprocessor Into Its Platform to Easily Train Machine Learning Models

Edge Impulse, the leading platform for building, deploying, and scaling edge machine learning models, announces Microchip Technology’s SAMA7G54 microprocessor (MPU) is now fully integrated into the Edge Impulse platform. This collaboration marks a significant milestone in advancing edge machine learning capabilities, particularly in camera-based applications.

Insight of the Week

5 Ways AI in Radiology Transforms the Medical IndustryAI in Radiology

Imagine a world where doctors can diagnose diseases accurately, predict health outcomes with uncanny precision, and personalize treatment plans tailored to each individual—all within minutes. This isn’t science fiction; it’s the incredible reality brought about by integrating artificial intelligence in radiology. AI algorithms are transforming the landscape of medical imaging analysis and patient care, making it possible to detect anomalies that even the most trained human eyes might miss.

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