Thursday, July 4, 2024

AITech365’s Weekly Roundup: Discover the Most Recent News From SingleStore, Veeam, Netlify, Lantronix!

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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…

SingleStore Accelerates Go-to-Market Strategy with AWS

SingleStore, a data platform that allows you to transact, analyze and contextualize data in milliseconds, announced it signed a Strategic Collaboration Agreement (SCA) with Amazon Web Services (AWS) to accelerate their go-to-market approach.

In Cybersecurity news this week…

Veeam to Jointly Develop AI Solutions with Microsoft for Industry’s #1 Data Protection and Ransomware Recovery Platform

Veeam® Software, the #1 leader in Data Protection and Ransomware Recovery by market share, announced an extended, five-year strategic partnership with Microsoft to innovate new solutions for protecting customers by integrating Veeam’s product family and Microsoft Copilot and AI services.

In IT and DevOps news this week…

Netlify Unveils AI-Enabled Deploy Assist to Improve Developer Productivity and Ship Personalized Digital Experiences Faster

Netlify, the leading platform for modern web development, announced the general availability of the AI-enabled deploy assist. Available as a part of Netlify’s Composable Web Platform, this tool leverages AI to analyze failed deployments and provide suggestions to correct the errors. As a result, developers significantly reduce their time spent manually reviewing logs, leading to increased productivity, faster and more predictable go-to-market workflows, and a more satisfying developer experience.

In Computing news this week…

Lantronix Announces Snapdragon 8 Gen 3 Mobile Hardware Development Kit for Qualcomm 8650 System-on-Chip

Lantronix Inc, a global provider of compute and connectivity IoT solutions that target high-growth industries, including Smart Cities, Automotive and Enterprise, announced its new Snapdragon™ 8 Gen 3 mobile hardware development kit (HDK). A single-board computer (SBC) built on the Snapdragon 8 Gen 3 Platform, the new HDK provides an expandable, feature-rich starting point for the development of new mobile applications and devices utilizing Qualcomm™ Technologies Inc.’s Snapdragon 8650 System-on-Chip (SoC).

In Customer Experience news this week…

Enghouse launches its next-generation EnghouseAI suite

Enghouse Interactive, a unit of Enghouse Systems Limited and a leading provider of customer experience (CX) solutions, announces the launch of its artificial intelligence (AI) products from new generation. These advanced offerings are designed to strengthen contact center capabilities, improve agent productivity and provide unprecedented insights into customer interactions.

In Robotic Process Automation news this week…

DAC Robotics Selects OSARO Mixed-Case Robotic Depal for New Integrated Warehouse Replenishment System

DAC Robotics is teaming with OSARO, a global leader in machine-learning-enabled robotics for e-commerce, to launch a breakthrough warehouse replenishment system that debuts next week at MODEX 2024 in Atlanta. The DAC Robotics system combines the OSARO® Robotic Depalletization System with DAC’s latest automatic box opening ABOT and its automated decant robot.

In Natural Language Processing news this week…

data.world’s Groundbreaking AI Context Engine™ Helps Teams Build AI-Powered Applications With Data and Organizational Knowledge

data.world, the data catalog company built for the future of artificial intelligence, announced the launch of its AI Context Engine. This pioneering new platform is designed to securely unlock vast amounts of organizational data for teams building and using chat interfaces with Large Language Models (LLMs).

In Cloud news this week…

Mission Cloud Achieves the AWS Generative AI Competency

Mission Cloud, a US-based Amazon Web Services (AWS) Premier Tier Services Partner, announced that it has achieved the AWS Generative AI Competency in the category of Consulting Services. This specialization recognizes Mission Cloud as an AWS Partner that helps customers and the AWS Partner Network (APN) drive the advancement of services, tools, and infrastructure pivotal for implementing generative AI technologies.

In Healthcare news this week…

Helix Appoints Genentech and Flatiron Health Vet Hylton Kalvaria as SVP of Life Sciences

Helix, the leading population genomics company in the nation, announced that Hylton Kalvaria has joined its leadership team as senior vice president (SVP) of Life Sciences. Kalvaria will oversee partnerships leveraging the unique and growing clinico-genomic datasets of Helix with life sciences customers.

In Generative AI news this week…

DataStax and Airbyte Partner, Enable Developers to Ingest and Vectorize Data from the Largest Catalog of Data Sources to Build GenAI Applications

DataStax, the Gen AI data company, announced a new integration with Airbyte that simplifies the process of building production-ready GenAI applications with structured and unstructured data. Now, developers can use Airbyte Cloud to easily ingest and vectorize data from hundreds of sources directly into Astra DB, the best vector database for building production-level AI applications.

In Machine Learning news this week…

Edge Impulse Deploys its State-of-the-Art Edge AI Models to Arm Microcontrollers Tools

Edge Impulse, the leading platform for building, refining and deploying machine learning models and algorithms to edge devices, has launched a direct integration with Arm ® Keil ® MDK that provides easy access to cutting-edge AI and machine learning models and makes it simpler and faster for embedded engineers to collaborate with other cross-disciplinary teams to build edge AI products and bring them to market.

Insight of the Week

The Ultimate Guide to Model Training in 2024

Model TrainingHave you ever pondered what enables AI systems like ChatGPT or Gemini to consistently deliver accurate results whenever we interact with them? The answer lies in a crucial process known as model training. Model training involves exposing a machine learning algorithm to vast amounts of data, allowing it to learn and adapt its internal parameters to minimize error or maximize performance. Let’s learn everything about it.

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