General AI
Business Wire | October 27, 2023
Digital.ai, the leading provider of AI-powered software delivery solutions for the enterprise, today announced the launch of Denali, the latest release of its AI-powered DevSecOps platform, exemplifying its commitment to delivering an open platform tailored to the needs of the modern enterprise. The platform allows companies to harness the potential of AI while effectively addressing the complexities organizations need to overcome to deliver high-quality and secure software, at scale.
Denali ensures compatibility with the latest operating systems and development frameworks and optimizes performance of the most critical applications. With Denali, organizations can leverage the power of AI to further automate software delivery, orchestrate and govern code from AI-assisted development, and gain better insights across each phase of the software delivery lifecycle -- saving developers time and improving their access to knowledge. Additional enhancements such as self-guided workflows, templates and best practices create efficiencies and alignment around measurable goals. Denali also provides comprehensive support for cloud-native application development, and features additional integrations with Terraform by Hashicorp, Azure Biceps, Azure Key Vault, and AWS Secret Manager.
As companies embark on their AI adoption journey, we are seeing exponential improvements in application development. But with the vast adoption of AI code-assist tools, the question becomes, can DevSecOps processes, teams, and tools keep up with developer improvements? Businesses need to support an enhanced developer experience while overcoming roadblocks in their release pipelines, toolchains, and security challenges. We have designed Denali to empower teams at every stage of the software development lifecycle (SDLC), helping to align developer outcomes with business strategy and accelerate innovation throughout the enterprise.
Derek Holt, CEO of Digital.ai
“Our partnership with Digital.ai is focused on enabling secure digital transformation at leading financial services companies,” said Jhonny Telles, Leadcomm’s Director of Digital Transformation. “Ongoing R&D is crucial for us, and Digital.ai continually reinvests in their solution so that together, we can meet the fast-evolving needs of banking customers and help them deliver innovative applications that work for their customers. The new ARM Protection feature is an example of how Digital.ai makes application protection significantly easier while also eliminating extra steps.”
Denali enables enterprise teams to:
Deliver high-quality, secure apps at scale by supporting more iOS development frameworks and by providing ARM protection for iOS applications running in these new environments
Utilize the power of AI to further automate software delivery through improved access to product knowledge, expanded test coverage across teams, and better release orchestration and code governance from AI-assisted development
Enhance the developer experience by aligning developer outcomes to business strategy, increasing developer efficiency, and improve cloud strategy & transformation across hybrid environments
Greg Ellis, General Manager, Application Security, added, “Security risks are growing in quantity and complexity. Our new security enhancements for web applications, including the creation of a new proprietary language that is interpretable by a new virtual machine, exemplifies our commitment to continue to make the task of reverse engineering applications as frustrating as possible for threat actors.”
About Digital.ai
Digital.ai is an industry-leading technology company dedicated to helping Global 5000 enterprises achieve digital transformation goals. The company’s AI-powered DevSecOps platform unifies, secures, and generates predictive insights across the software lifecycle. Digital.ai empowers organizations to scale software development teams, and continuously deliver software with greater quality and security while uncovering new market opportunities and enhancing business value through smarter software investments. Additional information about Digital.ai can be found at https://digital.ai and on Twitter, LinkedIn, YouTube and Facebook.
Read More
AI Tech
PR Newswire | October 26, 2023
Today IBM (NYSE: IBM) launched watsonx Code Assistant, a generative AI-powered assistant that helps enterprise developers and IT operators code more quickly and more accurately using natural language prompts. The product currently delivers on two specific enterprise use cases. First, IT Automation with watsonx Code Assistant for Red Hat Ansible Lightspeed, for tasks such as network configuration and code deployment. Second, mainframe application modernization with watsonx Code Assistant for Z, for translation of COBOL to Java on IBM Z.
Designed to accelerate development while maintaining the principles of trust, security, and compliance, the product leverages generative AI based on IBM's Granite foundation models for code running on IBM's watsonx platform. Granite uses the decoder architecture, which underpins large language model capabilities to predict what is next in a sequence to support natural language processing tasks. IBM is exploring opportunities to tune watsonx Code Assistant with additional domain-specific generative AI capabilities to assist in code generation, code explanation, and the full end-to-end software development lifecycle to continue to drive enterprise application modernization.
According to a recent IDC report, "Because it relies on a model trained on curated data, watsonx Code Assistant can help enterprises improve code quality by propagating best practices through code recommendations, instead of polluting enterprise code bases with code generated by models trained on unvetted repositories."2
With this launch, watsonx Code Assistant joins watsonx Orchestrate and watsonx Assistant in IBM's growing line of watsonx assistants that provide enterprises with tangible ways to implement generative AI, said Kareem Yusuf, Ph.D, Senior Vice President, Product Management and Growth, IBM Software. Watsonx Code Assistant puts AI-assisted code development and application modernization tools directly into the hands of developers – in a naturally integrated way that is designed to be non-disruptive – to help address skills gaps and increase productivity.
Additionally, IBM Consulting brings deep domain expertise across these use cases working closely with clients across industries such as banking, insurance, healthcare and government, to build strategies to allow them to take advantage of the potential of generative AI and code generation to accelerate modernization.
IT Automation - IBM watsonx Code Assistant for Red Hat Ansible Lightspeed
The Ansible Automation Platform helps enterprise developers and IT operators implement automation, using Ansible Playbooks, for IT tasks including infrastructure management, hybrid cloud deployment, network configuration, application deployment and more. With IBM watsonx Code Assistant for Red Hat Ansible Lightspeed, platform users can input plain English prompts to automatically generate task recommendations for Ansible Playbooks that adhere to best practices in task creation and maintenance. This way, a greater number of team members can create Ansible Playbooks more efficiently and implement automation engineered to be more resilient and easier to support without in-depth training.
Technical Preview Key Data:
Approximately 4,000 developers participated in the technical preview.
85% overall average acceptance rate of the AI-generated content recommendations. (from July 27 – Oct 23, 2023, based on over 41,000 recommendations)
Productivity improvements in the range of 20-45%.
"Red Hat has already shown what domain-specific AI can do for IT automation at the community level," said Ashesh Badani, Senior Vice President and Chief Product Officer, Red Hat. "The release of watsonx Code Assistant for Red Hat Ansible Lightspeed has the potential to close skills gaps, create greater organizational efficiencies and free enterprise IT to deliver even more business value."
The Hybrid Cloud Platforms team within the IBM CIO Office uses Red Hat Ansible Automation Platform to support a wide range of tasks within their IT environment whether it's patching, resolving vulnerabilities, or running regular health checks of their systems. Bob Epstein, Leader of IBM CIO Hybrid Cloud Platforms, expects that the number of developers able to produce Ansible Playbooks with the full release version could increase as much as 10x as watsonx Code Assistant for Red Hat Ansible Lightspeed empowers other team members such as Site Reliability Engineers who can use natural language to generate Ansible-specific automation tasks.
"I like to look at our modernization journey in these stages: In the past we were crawling, doing a lot of things manually. Then, when we started automating, we were walking. Once we implemented Red Hat Ansible Automation Platform, we were running. And as we look ahead, with watsonx Code Assistant for Red Hat Ansible Lightspeed, I think we will be able to fly," said Robert Barron, Architect, Hybrid Cloud Platforms, IBM CIO Office.
Mainframe Application Modernization – IBM watsonx Code Assistant for Z
IBM watsonx Code Assistant for Z helps enable faster translation of COBOL to Java on IBM Z and enhances developer productivity on the platform. It is being designed to assist businesses in leveraging generative AI and automated tooling to accelerate their mainframe application modernization – while allowing clients to take advantage of the performance, security and resiliency capabilities of IBM Z.
Today, the product follows the application modernization lifecycle, starting with an application discovery capability, which maps out a technical understanding of the application and its dependencies. Then, an automated refactoring capability leverages the information captured in application discovery to identify selected elements to decompose the monolithic application into modular COBOL business services. Finally, watsonx Code Assistant for Z leverages generative AI to transform individual COBOL business services into object-oriented Java code. The next step in the lifecycle is validation testing. Anticipated in a future release, the product will support automated test case generation to validate the new COBOL or Java services.
TCS and IBM hold a long-term partnership that fosters a collaborative ecosystem to develop joint successes for their customers and stakeholders. Leveraging this partnership and the deep contextual knowledge, TCS has grown a purpose-led, dedicated, full-service practice for in-place application modernization.
"There is a significant need for the developer productivity gains that generative AI can bring to transform applications on the mainframe," said Keshav Varma, ISU Head, Technology, Software and Services Business Unit, TCS. "While watsonx Code Assistant for Z has only just become available, we have several clients that have already requested that we create proofs of concept for them. With decades of enterprise experience from both our companies, we look forward to building on our deep partnership with IBM using watsonx."
IBM Consulting Brings Expertise to Help Clients with IT Automation and Modernization
Early IBM Consulting engagements for both watsonx Code Assistant for Red Hat Ansible Lightspeed and watsonx Code Assistant for Z aim to provide clients with the ability to deliver continuous automation, Ansible Playbook productivity, quality improvements, and transformation of IT operations – in addition to helping them identify the right application areas to modernize with Z.
For those looking for more personalized use cases with watsonx Code Assistant, IBM Consulting and IBM Client Engineering can work side-by-side with clients to identify specific pain points and solve critical business and technical challenges from the users' perspective. IBM Consulting brings deep industry expertise in application modernization, IT automation and generative AI via dedicated Red Hat and watsonx practices that work closely with IBM Research, IBM Technology and Red Hat.
Statements regarding IBM's future direction and intent are subject to change or withdrawal without notice, and represent goals and objectives only.
Read More
General AI
PR Newswire | November 01, 2023
Dell Technologies (NYSE: DELL) is collaborating with Meta to make it easy for Dell customers to deploy Meta's Llama 2 models on premises with Dell's generative AI (GenAI) portfolio of IT infrastructure, client devices and professional services.
We are at the beginning of a new era with generative AI transforming how industries operate, innovate and compete, said Jeff Boudreau, chief AI officer, Dell Technologies. With the Dell and Meta technology collaboration, we're making open-source GenAI more accessible to all customers, through detailed implementation guidance paired with the optimal software and hardware infrastructure for deployments of all sizes. Now, customers can more easily deploy secure GenAI models on premises for powerful new approaches and insights.
Open-source GenAI fuels innovation on premises
The collaboration simplifies the on-premises AI environment by bringing together Dell's top-selling infrastructure portfolio and the Llama 2 family of AI models. Customers can accelerate their GenAI efforts on premises in a traditional data center or at edge locations. Dell has integrated Meta's Llama 2 models into its system sizing tools to help guide customers to the right solution to power their Llama 2 based AI efforts.
The Dell Validated Design for Generative AI with Meta's Llama 2 provides pre-tested and proven Dell infrastructure, software and services to streamline deployment and management of on-premises projects. With fully documented deployment and configuration guidance, organizations can get their GenAI infrastructure up and running more quickly and operate Llama 2 with more predictability.
With Meta's Llama 2 and the breadth of the Dell Generative AI Solutions technology and services portfolio, organizations of all sizes have access to more reliable tools to deliver GenAI solutions from desktops to core data centers, edge locations and public clouds.
Read More