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…
MicroStrategy announced the latest release of MicroStrategy ONE
MicroStrategy® Incorporated, a pioneer in AI-powered business intelligence, announced the latest release of MicroStrategy ONE®, the fully cloud-native AI/BI platform that’s trusted by the world’s leading brands to solve their toughest data challenges.
In Cybersecurity news this week…
SecureIQLab Validates First XDR Solutions with AI/ML
SecureIQLab LLC, a leader in cloud security validation, is proud to announce the industry’s first-ever comprehensive validation of Extended Detection and Response (XDR) solutions. The focus is on integrating AI/ML advanced analytics capabilities alongside traditional detection and response functionalities.
In IT and DevOps news this week…
Digital.ai appoints Mike Davey as Chief Revenue Officer
Digital.ai, an industry-leading technology company helping Global 5000 enterprises automate software delivery through its AI-powered DevSecOps platform, announced the appointment of Mike Davey as its Chief Revenue Officer (CRO).
In Computing news this week…
Lumino Announces AI SDK Release
Lumino, an AI infrastructure startup, announced that it has launched its large language model (LLM) fine-tuning SDK and web console. Training and fine-tuning LLMs require large amounts of computing power, which has led to a price surge for GPUs.
In Robotic Process Automation news this week…
UST Acquires ISG Automation for Enhanced Solutions
UST, a leading digital transformation solutions company, has acquired the automation unit of Information Services Group (ISG), strengthening its position in the intelligent automation space and positioning the company for future growth in a dynamic market. The acquired unit is a leading provider of intelligent automation solutions, utilizing artificial intelligence (AI), robotic process automation (RPA), and automation technologies to help clients across a range of industries optimize their business processes, enhance the customer experience, and reduce operational costs.
In Healthcare news this week…
Viz.ai Shows Cost Savings and Fewer Transfers in Stroke
Viz.ai, the leader in AI-powered disease detection and intelligent care coordination, announced clinical data validating the impact of Viz LVO in the management and outcomes of patients with large vessel occlusions (LVO), a type of ischemic stroke that occurs when a major artery in the brain is blocked. Viz LVO, part of the Viz Neuro suite of artificial intelligence (AI)-powered solutions, automatically detects and triages suspected LVO patients and has been shown to reduce delays in acute stroke treatment.
In Generative AI news this week…
Accenture & NVIDIA Propel Businesses into AI Era
Accenture and NVIDIA announced an expansion of their partnership, with Accenture forming a new NVIDIA professional group focused on helping companies around the world rapidly scale their use of AI.
In Machine Learning news this week…
Avalara Unveils AI-Powered Tariff Code Classifier
Avalara, Inc., a leading provider of tax compliance automation software for businesses of all sizes, announced the launch of Automated Tariff Code Classification, an AI-based system that uses a pioneering combination of proprietary, advanced AI, machine learning, and natural language processing methods and technologies to classify large product catalogs quickly and efficiently to Harmonized System (HS) or Tariff Codes.
Insight of the Week
A Holistic Guide To AI Training Data
From medical diagnosis to creating an itinerary for a vacation, from finding solutions to fight climate change to drafting a cover letter for job applications, the use cases of artificial intelligence (AI) are growing at a rapid scale. Generative AI since its inception has become the buzzword. However, whatever AI models or use cases are being discussed today, their success hugely depends on how effectively the AI model has been trained. The success truly relied on having the right kind of data for training the AI models.
