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IBM Unveils watsonx Generative AI Capabilities to Accelerate Mainframe Application Modernization

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IBM is designing this product to refactor, transform, and validate COBOL code to help speed time-to-value and augment skills for critical application modernization on IBM ZThe product will be enabled by a 20 billion parameter large language model (LLM) for code

ARMONK, N.Y., Aug. 22, 2023 /PRNewswire/ — IBM (NYSE: IBM) today announced watsonx Code Assistant for Z, a new generative AI-assisted product that will help enable faster translation of COBOL to Java on IBM Z and enhances developer productivity on the platform. This product will be generally available in Q4 2023, and is being designed to help accelerate COBOL application modernization. Watsonx Code Assistant for Z will preview during TechXchange, IBM’s premier technical learning event in Las Vegas, Sept 11-13.

Watsonx Code Assistant for Z is a new addition to the watsonx Code Assistant product family, along with IBM watsonx Code Assistant for Red Hat Ansible Lightspeed, scheduled for release later this year. These solutions will be powered by IBM’s watsonx.ai code model, which will have knowledge of 115 coding languages1 having learned from 1.5 trillion tokens.2 At 20 billion parameters, it is on target to become one of the largest generative AI foundation models for code automation.3 The watsonx Code Assistant product portfolio will extend over time to address other programming languages, to improve time to value for modernization and address growing skills challenges for developers.

Watsonx Code Assistant for Z is being designed to assist businesses in leveraging generative AI and automated tooling to accelerate their mainframe application modernization – all with the goal of preserving the performance, security and resiliency capabilities of IBM Z.

The COBOL data processing language supports many vital business and operational processes at organizations globally. At scale, using watsonx Code Assistant for Z in comparison to other approaches could make it easier for developers to selectively and incrementally transform COBOL business services into well architected high-quality Java code – with estimated billions of lines of COBOL code as potential candidates for targeted modernization over time. Generative AI can help developers to more quickly assess, update, validate and test the right code, allowing them to more efficiently modernize large applications and focus on higher impact tasks.

IBM is designing these capabilities to provide tooling for each step of the modernization journey. The solution is expected to include IBM’s Application Discovery and Delivery Intelligence (ADDI) inventory and analysis tool. Following ADDI, key steps on the journey include refactoring business services in COBOL, transforming COBOL code to Java code with an optimized design, and validating the resulting outcome, including using automated testing capabilities. Potential benefits for clients include:

Accelerating code development and increasing developer productivity throughout the application modernization lifecycleManaging total cost, complexity, and risk of application modernization initiatives, including translation and optimization of code in-place on IBM ZExpanding access to a broader pool of IT skills and accelerating developer onboardingAchieving high quality, easy to maintain code through model customization and the application of best practices

“Our collaboration with IBM is an important element in our drive to leverage generative AI interfaces to challenge legacy approaches with material productivity gains, and reinvent our Capital Markets solutions,” said Roger Burkhardt, CTO, Capital Markets and AI, Broadridge Financial. “We have had excellent client response to our generative AI investments and we are intrigued by the opportunity to further our efforts by leveraging IBM watsonx Code Assistant for Z to address a broader range of platforms.”

AI-assisted mainframe application modernization is an imperative

According to new research from the IBM Institute for Business Value, organizations are 12x more likely to leverage existing mainframe assets rather than rebuild their application estates from scratch in the next two years. At the same time, however, the study shows that the number one challenge for those same organizations is a lack of resources and skills.

“By bringing generative AI capabilities through watsonx to new use cases, we plan to drive real progress for our clients,” said Kareem Yusuf, PhD, Senior Vice President, Product Management and Growth, IBM Software. “IBM is engineering watsonx Code Assistant for Z to take a targeted and optimized approach. It’s built to rapidly and accurately convert code optimized for IBM Z, accelerate time to market and broaden the skills pool. This can help enhance applications and add new capabilities while preserving the performance, resiliency, and security inherent in IBM Z.”

There are many application modernization approaches available today. Some options include rewriting all application code in Java, or migrating everything to public cloud, which may sacrifice capabilities that are core to the IBM Z value proposition while failing to deliver on expected cost reduction. Tools that convert COBOL applications to Java syntax can produce code that is hard to maintain and can be unrecognizable to a Java developer. Generative AI is promising, but current AI-assisted partial re-write technology lacks COBOL support and doesn’t optimize the resulting Java code for the given task.

The resulting Java code from watsonx Code Assistant for Z will be object-oriented. IBM is designing this solution to be optimized to interoperate with the rest of the COBOL application, with CICS, IMS, DB2, and other z/OS runtimes. Java on Z is designed to be performance-optimized versus a compared x86 platform.4

Building on a foundation of governance and innovation

According to a 2023 Gartner® report (For Gartner Subscribers only), “by 2028, the combination of humans and AI assistants working in tandem could reduce the time to complete coding tasks by 30%.” The report further states that “the use of AI code generation tools is not replacing the quality assurance (QA) processes and security controls that are needed by developers for robust and secure product development, as well as for mitigation of inherited risks from using generative methods for code.”5

Protecting sensitive data and customer intellectual property are critical when it comes to implementing generative AI. IBM for decades has followed core principles, grounded in commitments to Trust and Transparency. With this principle-based approach, the watsonx platform aims to enable enterprises to leverage their own trusted data and IP to build tailored AI solutions that are scalable across operations.

Additionally, IBM Consulting brings deep domain expertise in IBM Z application modernization with a focus on guiding clients that leverage the platform across key industries such as banking, insurance, healthcare and government. These dedicated consultants can help clients identify the right application areas to modernize in order to optimize the potential benefits of watsonx Code Assistant for Z.  

For more information about AI-assisted mainframe application modernization, and to get started with IBM’s optimized, targeted approach, please visit our website here and join us at TechXchange. Register today for our watsonx Code Assistant for Z webinar on Sept. 21 at 11 am ET here and learn how IBM is bringing Gen AI to mainframe application modernization. You can also schedule a live demo with our team here.

IBM’s plans, directions, and intentions may change or be withdrawn at any time at IBM’s discretion without notice. Information about potential future products and improvements is provided to give a general idea of IBM’s goals and objectives and should not be used in making a purchase decision. IBM is not obligated to provide any material, code, or functionality based on this information.

5 Gartner, Emerging Tech: Generative AI Code Assistants Are Becoming Essential to Developer Experience, By Radu Miclaus, Arun Chandrasekaran, Ray Valdes, Mark Driver, Eric Goodness, Published 11 May 2023

GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally and is used herein with permission. All rights reserved.

About IBM
IBM is a leading provider of global hybrid cloud and AI, and consulting expertise. We help clients in more than 175 countries capitalize on insights from their data, streamline business processes, reduce costs and gain the competitive edge in their industries. More than 4,000 government and corporate entities in critical infrastructure areas such as financial services, telecommunications and healthcare rely on IBM’s hybrid cloud platform and Red Hat OpenShift to affect their digital transformations quickly, efficiently and securely. IBM’s breakthrough innovations in AI, quantum computing, industry-specific cloud solutions and consulting deliver open and flexible options to our clients. All of this is backed by IBM’s legendary commitment to trust, transparency, responsibility, inclusivity and service.

Media Contact:
Ashley Peterson
ashley.peterson@ibm.com 

1 List of coding languages used in the model can be found here: https://github.ibm.com/ai-models-architectures/Granite-Megatron-LM/blob/starcoder-experiments/sampling_proportions/starcoderdata-90/proportions.txt
2 Number based on proprietary internal data.
3 Previous largest was community model StarCoder at 15B https://www.marktechpost.com/2023/05/07/meet-starcoder-the-biggest-open-source-large-language-models-for-code/
4 For example, as noted during the announcement of IBM z16, using IBM Semeru Runtime Certified Edition 11, run Business Rules Processing with IBM Operational Decision Manager 8.11.00 on Linux on IBM z16 for up to 70% higher throughput per core     versus running the same application on a compared x86 server. DISCLAIMER: Performance results are based on the average of measurements done using IBM Operational Decision Manager (ODM) 8.11.0 with IBM Java 8.0.7.10 and IBM Semeru Runtime Certified Edition 11.0.15.0 on IBM z16 and on a compared x86 server. Two different configurations were tested: executing 2005 rules (from a ruleset containing 14560 rules), and executing 80 rules (from a ruleset containing 300 rules). IBM z16 configuration: Linux on IBM Z LPAR with Red Hat Enterprise Linux 8.5 (Ootpa) and 4 IFLs (SMT). x86 server configuration: Red Hat Enterprise Linux release 8.6 (Ootpa) and 4 SMT-2 cores (Cascade Lake Intel(R) Xeon(R) Gold 6226R CPU @ 2.90GHz). Results may vary.

 

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O3 Mining Grants Security-Based Compensation For 2024

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/THIS NEWS RELEASE IS NOT FOR DISTRIBUTION TO U.S. NEWSWIRE SERVICES OR FOR DISSEMINATION IN THE UNITED STATES./

TSXV:OIII – O3 Mining

TORONTO, Dec. 23, 2024 /CNW/ – O3 Mining Inc. (TSXV: OIII) (OTCQX: OIIIF) (“O3 Mining” or the “Corporation”) announces its ordinary course security-based compensation awards for the year ended December 31, 2024. Effective December 23, 2024, the Corporation has granted to certain officers, directors and/or employees of the Corporation an aggregate of (i) 878,817 restricted share units of the Corporation (“RSUs”), and (ii) 230,750 deferred share units of the Corporation (“DSUs”). The RSUs will vest in their entirety over three years from the date of grant, with one-third of the RSUs vesting on each of the first, second and third anniversaries of the date of grant. The DSUs will vest in accordance with the Corporation’s DSU plan.

The Corporation anticipates the vesting of RSUs and DSUs will be accelerated in connection with the initial deposit period for the previously announced cash offer of $1.67 per common share of the Corporation by an affiliate of Agnico Eagle Mines Limited (“Agnico Eagle”) to acquire all of the issued and outstanding common shares of the Corporation not already owned, directly or indirectly, by Agnico Eagle (the “Offer”). The Offer has been made in accordance with the support agreement between Agnico Eagle and O3 Mining dated December 12, 2024, a copy of which is available on SEDAR+ (www.sedarplus.ca) under O3 Mining’s issuer profile.

About O3 Mining Inc.

O3 Mining Inc. is a gold explorer and mine developer in Québec, Canada, adjacent to Agnico Eagle’s Canadian Malartic mine. O3 Mining owns a 100% interest in all its properties (128,680 hectares) in Québec. Its principal asset is the Marban Alliance project in Québec, which O3 Mining has advanced over the last five years to the cusp of its next stage of development, with the expectation that the project will deliver long-term benefits to stakeholders. Further information can be found on our website at https://o3mining.com.

Cautionary Note Regarding Forward-Looking Information

This news release contains “forward-looking information” within the meaning of applicable Canadian securities legislation that is based on current expectations, estimates, projections, and interpretations about future events as at the date of this news release. Forward-looking information and statements are based on estimates of management by O3 Mining, at the time they were made, and involve known and unknown risks, uncertainties and other factors which may cause the actual results, performance or achievements to be materially different from any future results, performance or achievements expressed or implied by such forward-looking information or statements. Forward-looking statements in this news release include, but are not limited to, statements regarding vesting of RSUs and DSUs, including any accelerated vesting thereof; the anticipated next stage of development of the Marban Alliance project; and the expectation that the Marban Alliance project will deliver long-term benefits to stakeholders. Although the forward-looking information contained in this news release is based upon what O3 Mining believes, or believed at the time, to be reasonable expectations and assumptions, there is no assurance that actual results will be consistent with such forward-looking information, as there may be other factors that cause results not to be as anticipated, estimated or intended, and neither O3 Mining nor any other person assumes responsibility for the accuracy and completeness of any such forward-looking information. No assurance can be given that these expectations will prove to be correct and such forward-looking statements included in this news release should not be unduly relied upon. O3 Mining does not undertake, and assumes no obligation, to update or revise any such forward-looking statements or forward-looking information contained herein to reflect new events or circumstances, except as may be required by applicable law. These statements speak only as of the date of this news release. Nothing contained herein shall be deemed to be a forecast, projection or estimate of the future financial performance of O3 Mining.

Neither the TSX Venture Exchange nor its Regulation Services Provider (as that term is defined in the policies of the TSX Venture Exchange) accepts responsibility for the adequacy or accuracy of this news release. No stock exchange, securities commission or other regulatory authority has approved or disapproved the information contained herein.

SOURCE O3 Mining Inc.

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CreateAI Announces Results of 2024 Annual Meeting of Stockholders

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SAN DIEGO, Dec. 23, 2024 /PRNewswire/ — CreateAI Holdings Inc., formerly TuSimple Holdings Inc. (OTCMKTS: TSPH) (“CreateAI” or the “Company”), a global artificial intelligence technology company, today announced shareholder voting results for its annual meeting of stockholders held on December 20, 2024 (the “Annual Meeting”).

As of October 28, 2024, the record date for the Annual Meeting, there were a total of 232,618,399 shares of common stock outstanding and entitled to vote at the Annual Meeting, comprised of 208,618,399 shares of Class A Common Stock (each with one vote per share) and 24,000,000 shares of Class B Common Stock (each with ten votes per share). At the Annual Meeting, holders of 207,347,538 shares of common stock, representing 423,347,538 votes, entitled to vote at the meeting were represented in person or by proxy and, therefore, a quorum constituted of the majority of the voting power of the shares of common stock issued and outstanding and entitled to vote at the Annual Meeting was present.

The following is a brief description of each matter voted upon at the 2024 Annual Meeting and the numbers of votes cast for, withheld, or against, the number of abstentions, and the number of broker non-votes with respect to each other, as applicable.

1.     Election of six nominees to serve on the Board of Directors (the “Board”) for a term which will expire at the 2025 annual meeting of stockholders, or, if Proposal Two is adopted, to hold office until the annual meeting of stockholders in accordance with the class of director to which each nominee will be assigned. The following six directors were elected by the votes as indicated below.

 
 

For

 

Withheld

 

Broker Non-Votes

Cheng Lu

 

208,949,915

 

164,765,0191

 

49,632,604

Mo Chen

 

208,946,146

 

164,768,7881

 

49,632,604

James Lu

 

209,109,928

 

164,605,0061

 

49,632,604

Zhen Tao

 

209,158,316

 

164,556,6181

 

49,632,604

Albert Schultz

 

348,895,0191

 

24,819,915

 

49,632,604

Jianan Hao

 

209,021,652

 

164,693,2821

 

49,632,604

The totals above include the 240,000,000 votes represented by the Class B shares of Common Stock. 12,000,000 shares of Class B Common Stock (representing 120,000,00 votes) were voted “FOR” and 12,000,000 shares of Class B Common stock (representing 120,000,00 votes) were voted “WITHHELD” for each of the Directors other than Albert Schultz. All shares of Class B Common Stock were voted “FOR” the election of Albert Schultz. Excluding the 240,000,000 votes from the 24,000,000 shares of Class B Common Stock from the totals above, the 183,347,538 shares of Class A Common Stock were voted as indicated below.

 
 

For

 

Withheld

 

Broker Non-Votes

Cheng Lu

 

88,949,915

 

44,765,019

 

49,632,604

Mo Chen

 

88,946,146

 

44,768,788

 

49,632,604

James Lu

 

89,109,928

 

44,605,006

 

49,632,604

Zhen Tao

 

89,158,316

 

44,556,618

 

49,632,604

Albert Schultz

 

108,895,019

 

24,819,915

 

49,632,604

Jianan Hao

 

89,021,652

 

44,693,282

 

49,632,604

2.       Amendment to the Company’s Restated Certificate of Incorporation to classify the Board of Directors into three classes, with directors in each class to serve staggered three-year terms. Pursuant to the Restated Certificate of Incorporation, Proposal Two must receive the affirmative vote of the holders of at least a majority of the voting power of all of the then-outstanding shares of the capital stock of the Company entitled to vote generally in the election of directors, voting together as a single class, since directors representing two-thirds (2/3) of the total number of authorized directors have already approved. The amendment was not approved2 by the votes as indicated below:

For

 

Against1

 

Abstain

 

Broker Non-Votes

208,955,668

 

164,659,652

 

99,614

 

49,632,604

Because Proposal Two was not approved, the six directors elected pursuant to Proposal One will serve on the Board for a term which will expire at the 2025 annual meeting of stockholders.

3.       Ratification of the appointment of UHY LLP as the Company’s independent registered public accounting firm for the fiscal year ending December 31, 2024. The selection was ratified by the votes as indicated below:

For

 

Against1

 

Abstain

 

Broker Non-Votes

255,504,371

 

155,923,768

 

11,919,399

 

Note 1: Includes 120,000,000 votes of the 12,000,000 shares of Class B Common Stock held by White Marble LLC and White Marble International Limited (together, the “White Marble Entities”) controlled by Dr. Xiaodi Hou.

Note 2: The White Marble Entities have filed an action in the Delaware Court of Chancery seeking a declaratory judgment that the voting agreement between White Marble and Mo Chen is invalid and White Marble, not Mo Chen, controls the vote. White Marble LLC v. Chen, C.A. No. 2024-1208-PAF (Del. Ch.) On December 13, 2024, the Court entered an order that allows the Company to hold the vote on Proposal Two, and ordered that if Proposal Two is not approved at the Annual Meeting but the Court determines in the Action that Mo Chen, not the White Marble Entities, control how the White Marble Entities’ Shares are voted, then the White Marble Entities’ shares shall be deemed to have been voted in favor of Proposal Two at the Annual Meeting and that such vote shall stand. The vote totals above include the votes of the shares held by the White Marble Entities as voted by the White Marble Entities. If the shares held by the White Marble entities reflected in the totals above are deemed to have been voted in favor of Proposal Two, the Proposal will have passed. Accordingly, if the Court rules in Mo Chen’s favor, Proposal Two will be deemed to have passed and the Company would be permitted to amend its Certificate of Incorporation to implement Proposal Two and each of the directors elected pursuant to Proposal One will serve on the Board until the annual meeting of stockholders in accordance with the class of director to which each nominee is assigned.

About CreateAI

CreateAI (formerly TuSimple) is a global artificial intelligence company with offices in US, China, and Japan. The company is pioneering the future of digital entertainment content production, seamlessly blending cutting-edge generative AI technology with the creativity of world-class talent. Our mission is to redefine the boundaries of what’s possible in digital storytelling by developing immersive, captivating, and visually stunning experiences that resonate with audiences on a global scale.

Investor Relations Contact:
ICR for CreateAI
CreateAI.IR@icrinc.com

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SOURCE CreateAI Holdings Inc

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Rosica Communications Releases V2 of Thought Leadership Measurement Matrix™

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Beta Phase Concludes, Formerly Launching Market Influence Platform

FAIR LAWN, N.J., Dec. 23, 2024 /PRNewswire-PRWeb/ — Rosica Communications, a national PR agency specializing in education, animal health, nonprofits, and healthcare, has completed beta-testing of its comprehensive tool for assessing thought leadership, now called the Thought Leadership Measurement Matrix™. This innovative tool utilizes a unique, weighted algorithm to measure and analyze 20 marketing, online, and public relations factors or activities that impact thought leadership and influence industry reputation and standing.

“Rosica goes beyond traditional web metrics to deliver a tool that tracks the broader scope of an organization’s thought leadership activities.”

This PR thought leadership measurement system provides both qualitative and quantitative assessments of an organization’s market influence, pinpointing strengths and uncovering opportunities for advancing thought leadership. After nearly two years of development and retaining an analytics specialist and mathematician in 2024 to advance its thought leadership scoring tables, Rosica’s Thought Leadership Measurement Matrix™ is now ready for prime time. Formerly launched by Rosica as the “Thought Leadership Index,” this is the only tool that thoroughly measures 20 distinct variables affecting thought leadership. It allows organizations to gauge their leadership presence through an in-depth analysis of performance indicators, SEO, content marketing (owned media), speaking engagements, website traffic and user experience (UX), and influencer or KOL advocacy.

“Completing the beta phase with our clients created insights that shaped the final PR and thought leadership measurement platform we’re now officially introducing. The Thought Leadership Measurement Matrix™ is the most comprehensive tool available to measure earned, owned, social, and paid media, plus a number of additional online and traditional marketing, PR, and communications activities that move the needle for organizations to impact of their thought leadership,” said Chris Rosica, CEO and president of Rosica Communications.

“Rosica goes beyond traditional web metrics to deliver a tool that tracks the broader scope of an organization’s thought leadership activities. This tool doesn’t just measure visibility, it quantifies influence, helping organizations not only get noticed but also become recognized leaders in their industries,” said Analytics Specialist Dan Scheuermann.

For more information, visit http://www.rosica.com

Media Contact

Micah Carroll, Rosica Communications, 201-843-5600, micah@rosica.com, www.Rosica.com

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SOURCE Rosica Communications

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