GitHub Copilot

HCLTech Launches AI Force to Accelerate Time-to-Value in Software Development and Engineering Lifecycle

Retrieved on: 
Tuesday, March 5, 2024

HCLTech , a leading global technology company, today announced the launch of HCLTech AI Force , an innovative GenAI platform that accelerates time-to-value by transforming the software development and engineering lifecycle, delivering greater productivity, improved quality and faster release timelines.

Key Points: 
  • HCLTech , a leading global technology company, today announced the launch of HCLTech AI Force , an innovative GenAI platform that accelerates time-to-value by transforming the software development and engineering lifecycle, delivering greater productivity, improved quality and faster release timelines.
  • It offers a highly customizable suite of GenAI-based solutions that inject intelligence into every aspect of software development and engineering workflows to improve efficiency and developer experience.
  • Prioritizing responsible AI adoption, HCLTech AI Force integrates robust security and governance measures, fostering secure innovation and growth at scale.
  • With its full-stack application development and engineering expertise and decades of experience in AI, HCLTech is helping clients unlock the best value out of GenAI, from chip development to cloud and business process optimization.

Top Five Applications Priorities for Technology Leaders in 2024 Published in New Report by Info-Tech Research Group

Retrieved on: 
Monday, February 19, 2024

Info-Tech Research Group's recently published Applications Priorities 2024 report offers a comprehensive guide for applications leaders as it outlines the adoption of emerging technologies and practices to enhance organizational capabilities in 2024 and beyond.

Key Points: 
  • Info-Tech Research Group's recently published Applications Priorities 2024 report offers a comprehensive guide for applications leaders as it outlines the adoption of emerging technologies and practices to enhance organizational capabilities in 2024 and beyond.
  • The Applications Priorities 2024 report provides applications leaders with a comprehensive overview of the applications landscape.
  • The report recommends applications leaders reinforce their maintenance strategies by assessing the health and technical debt of their applications.
  • As the digital landscape continues to evolve at an exponential pace, the Applications Priorities 2024 report provides applications leaders with a guide to optimizing their application portfolios and teams.

Legit Security Releases Industry’s First AI Discovery Capabilities

Retrieved on: 
Tuesday, February 13, 2024

BOSTON, Feb. 13, 2024 (GLOBE NEWSWIRE) -- Legit Security , the leading application security posture management (ASPM) platform that enables secure application delivery, today announced the availability of the cybersecurity industry’s first AI discovery capabilities.

Key Points: 
  • BOSTON, Feb. 13, 2024 (GLOBE NEWSWIRE) -- Legit Security , the leading application security posture management (ASPM) platform that enables secure application delivery, today announced the availability of the cybersecurity industry’s first AI discovery capabilities.
  • With these new capabilities, Legit helps bridge the gap between security and development by enabling CISOs and AppSec teams to understand where and when AI code is used and take action to ensure proper security controls are in place - without slowing software delivery.
  • Security policy enforcement: Legit Security detects LLM and GenAI development and enforces organizational security policies, such as ensuring all AI-generated code gets reviewed by a human.
  • Real-time notifications of GenAI code: Legit can immediately notify security teams when users install AI code generation tools, providing greater transparency and accountability.

AI helps students skip right to the good stuff in this intro programming course

Retrieved on: 
Tuesday, February 6, 2024

Generative AI is really good at computer programming – to the point where the way we teach and assess students who are learning to program must change.

Key Points: 
  • Generative AI is really good at computer programming – to the point where the way we teach and assess students who are learning to program must change.
  • We chose to embrace them in our new course, where students learn to program – supported by a generative AI assistant.
  • The course is built on our new book “Learn AI-Assisted Python Programming.” The book reconceptualizes an introductory programming course in the context of generative AI tools.
  • The course prepares those students to use generative AI to boost their careers through programming.

AveriSource Launches New AI-Powered Platform and User Experience for Application Modernization

Retrieved on: 
Wednesday, January 31, 2024

DALLAS, Jan. 31, 2024 /PRNewswire/ -- AveriSource, the leading global software provider of AI-powered, data-driven application modernization, announced today that it has completed a major release of its application analysis and modernization solution. The unveiling of AveriSource Platform™ 2.0 marks a pivotal step in the company's strategic growth plan and its innovative, AI-powered product roadmap. This launch follows a significant investment in its go-to-market and sales capabilities with the recruitment of industry veterans Ed Airey as VP of Marketing and Emmett Hynous as VP of Global Sales.

Key Points: 
  • The AveriSource Platform 2.0 release delivers a new user experience for enterprises planning or accelerating their modernization strategy—on the mainframe or in the cloud.
  • Visually engaging and highly interactive dashboards, alongside in-depth reporting and analytics, deliver an intelligent and guided user experience throughout all phases of the application modernization journey.
  • "I'm pleased to announce the general availability of AveriSource Platform 2.0," says David Gutzman, CEO and Managing Partner at AveriSource.
  • The 2.0 release of the AveriSource Platform includes the following application modernization packages: AveriSource Scan, AveriSource Inventory, AveriSource Discover, AveriSource Analyze and AveriSource Transform™.

AveriSource Launches New AI-Powered Platform and User Experience for Application Modernization

Retrieved on: 
Wednesday, January 31, 2024

DALLAS, Jan. 31, 2024 /PRNewswire/ -- AveriSource, the leading global software provider of AI-powered, data-driven application modernization, announced today that it has completed a major release of its application analysis and modernization solution. The unveiling of AveriSource Platform™ 2.0 marks a pivotal step in the company's strategic growth plan and its innovative, AI-powered product roadmap. This launch follows a significant investment in its go-to-market and sales capabilities with the recruitment of industry veterans Ed Airey as VP of Marketing and Emmett Hynous as VP of Global Sales.

Key Points: 
  • The AveriSource Platform 2.0 release delivers a new user experience for enterprises planning or accelerating their modernization strategy—on the mainframe or in the cloud.
  • Visually engaging and highly interactive dashboards, alongside in-depth reporting and analytics, deliver an intelligent and guided user experience throughout all phases of the application modernization journey.
  • "I'm pleased to announce the general availability of AveriSource Platform 2.0," says David Gutzman, CEO and Managing Partner at AveriSource.
  • The 2.0 release of the AveriSource Platform includes the following application modernization packages: AveriSource Scan, AveriSource Inventory, AveriSource Discover, AveriSource Analyze and AveriSource Transform™.

DataStax Launches New Data API to Dramatically Simplify GenAI Application Development

Retrieved on: 
Wednesday, January 17, 2024

DataStax , the company that powers generative AI (GenAI) applications with relevant, scalable data, today announced the general availability of its Data API, a one-stop API for GenAI, that provides all the data and a complete stack for production GenAI and retrieval augmented generation (RAG) applications with high relevancy and low latency.

Key Points: 
  • DataStax , the company that powers generative AI (GenAI) applications with relevant, scalable data, today announced the general availability of its Data API, a one-stop API for GenAI, that provides all the data and a complete stack for production GenAI and retrieval augmented generation (RAG) applications with high relevancy and low latency.
  • The new vector Data API and experience makes the proven, petabyte-scale power of Apache Cassandra ® available to JavaScript, Python, or full-stack application developers in a more intuitive experience for AI development.
  • “Astra DB's Data API has been a game-changer for us to build production RAG applications that use enterprise data,” said Rahul Singh, chief executive officer, Anant.US.
  • This has significantly expedited our production processes.”
    “The Astra DB vector experience advanced GenAI development at Aviso,” said Santosh Maddila, principal data scientist, Aviso AI.

LinearB Unveils New Impact Tracking for Generative AI Coding Tools and Accompanying AI Software Delivery Research Report

Retrieved on: 
Thursday, January 25, 2024

LOS ANGELES, Jan. 25, 2024 /PRNewswire/ -- LinearB, the pioneer in software engineering intelligence solutions for engineering leaders, released its Measuring Impact: The GenAI Code Report today in conjunction with a new solution for R&D leaders to measure the impact of their own GenAI initiatives. The report provides data and insights from a survey of over 150 technical leaders worldwide, detailing how their organizations plan to measure the effects of Generative AI (GenAI) on their code using LinearB's new solution.

Key Points: 
  • Understanding GenAI's effects on code creation and delivery is mission-critical, as these tools are poised to fundamentally reshape the role of software engineers.
  • By the end of 2024, GenAI is projected to generate 1 in every 5 lines of code .
  • "Engineering leaders know GenAI is already fundamentally changing software delivery life cycles," said Ori Keren , co-founder and CEO of LinearB.
  • "Measuring AI code's tangible impact on software delivery through our free platform offering separates hype from reality and shows where AI tools truly move the needle for developer productivity and business outcomes."

From Vision to Reality: AVL Collaborates with Microsoft to Demonstrate Future-Driven Mobility at CES

Retrieved on: 
Tuesday, January 9, 2024

LAS VEGAS, Jan. 9, 2024 /PRNewswire/ -- AVL is collaborating with major technology leader, Microsoft, to demonstrate the virtualization capabilities for vehicle software development. The software solution, called AVL DevOps Pilot, provides end-to-end orchestration of the development and operations pipeline including artifacts, simulation models, controller models, and test cases in a cloud-based platform. This paves the way for AVL's automotive development expertise using Microsoft Azure, including Microsoft Azure OpenAI Service, and GitHub Copilot. This dramatically reduces the development time for software defined vehicles as well as automates the testing and validation process and ensures end-to-end traceability of the software development assets.

Key Points: 
  • AVL, one of the world's leading mobility technology companies, is living the theme of "Future Driven Mobility: From Vision to Reality" at CES 2024.
  • These solutions are helping make technological breakthroughs possible for entire mobility ecosystem from suppliers to OEMs and startups.
  • LAS VEGAS, Jan. 9, 2024 /PRNewswire/ -- AVL is collaborating with major technology leader, Microsoft, to demonstrate the virtualization capabilities for vehicle software development.
  • This paves the way for AVL's automotive development expertise using Microsoft Azure, including Microsoft Azure OpenAI Service, and GitHub Copilot.

Delphina Raises $7.5 Million to Build Copilot for Data Science

Retrieved on: 
Wednesday, December 13, 2023

Delphina will do for data science and predictive AI what GitHub Copilot is doing for software engineering.

Key Points: 
  • Delphina will do for data science and predictive AI what GitHub Copilot is doing for software engineering.
  • It uses large language models (LLMs) to accelerate the routine, time-consuming tasks in predictive AI workflows, reducing them from months to days.
  • By automating time-consuming tasks, Delphina will enable data science teams to build and deploy better AI models, faster.
  • “Today, even the most advanced data science teams are mired in painstaking work that AI is better suited to do,” said Jeremy Hermann, Co-founder of Delphina.