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IBM Makes Granite AI Models Available To The Public

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IBM Research recently announced it’s open sourcing its Granite code foundation models. IBM’s aim is to democratize access to advanced AI tools, potentially transforming how code is written, maintained, and evolved across industries.

Which Granite Code Models Are Used by IBM?

Granite was born out of IBM’s grand plan to make coding easier. IBM used its extensive research resources to produce a suite of AI-driven tools to help developers navigate the complicated coding environment because it recognized the complexity and rapid innovation inherent in software development.

Its 3 billion to 34 billion parameter Granite code models, which are optimized for code creation, bug fixes, and code explanation, are the result of this endeavor and are meant to improve workflow productivity in software development.

Routine and complex coding activities are automated by the Granite models, which increase efficiency. Developers are able to concentrate on more strategic and creative parts of software design while also expediting the development process. This results in better software quality and a quicker time to market for businesses.

There is also an infinite amount of room for inventiveness. New tools and applications are expected to emerge, some of which may redefine software development norms and practices, given that the community has the ability to alter and expand upon the Granite models.

In addition to 500 million lines of code written in more than 50 programming languages, code snippets, challenges, and descriptions make up the extensive CodeNet dataset that the models are trained on. Because of their substantial training, the models are better able to comprehend and produce code.

Analyst’s Take

The Granite models are designed to increase efficiency by automating complicated and repetitive coding operations. This expedites the development process and frees up developers to concentrate on more strategic and creative areas of software development. Better software quality and a quicker time to market are what this means for businesses.

IBM expands its potential user base and fosters collaborative creation and customization of these models by making these formidable tools accessible on well-known platforms like GitHub, Hugging Face, watsonx.ai, and Red Hat’s RHEL AI.

Furthermore, there is an infinite amount of room for invention. Now that the Granite models are open to community modification and development, new tools and applications are sure to follow, some of which may completely reshape software development norms and practices.

This action has significant ramifications. First off, it greatly reduces the entrance barrier for software developers wishing to use cutting edge AI techniques. Now that independent developers and startups have access to the same potent resources as established businesses, the playing field is leveled and a more dynamic and creative development community is encouraged.

IBM’s strategy not only makes sophisticated coding tools more widely available, but it also creates a welcoming atmosphere for developers with different skill levels and resource capacities.

In terms of competition, IBM is positioned as a pioneer in the AI-powered coding arena, taking direct aim at other IT behemoths that are venturing into related fields but might not have made a commitment to open-source models just yet. IBM’s presence in developers’ daily tools is ensured by making the Granite models available on well-known platforms like GitHub and Hugging Face, which raises IBM’s profile and influence among the software development community.

With the Granite models now available for public use, IBM may have a significant impact on developer productivity and enterprise efficiency, establishing a new standard for AI integration in software development tools.

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Coforge and Microsoft Establish Copilot Innovation Hub to hasten the Deployment of Generative AI

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Global supplier of digital services and solutions Coforge Limited recently announced a partnership with Microsoft to launch the Coforge Copilot Innovation Hub. In addition to working closely with Microsoft to integrate these solutions with Microsoft’s generative AI products and technologies, such as Microsoft Azure OpenAI Service, Microsoft Power Platform, and Microsoft Copilot, the Hub will concentrate on building a pipeline of new, industry-specific cognitive analytics solutions.

Coforge announced the launch of two new copilots as part of the Copilot Innovation Hub: Underwriter Copilot for insurance companies and Advisor Copilot for financial services firms. An innovative technique to improve ROI and streamline the process of navigating the complexity of underwriting, the Underwriter Copilot for Insurance gives insurance underwriters more authority and the ability to make informed decisions. The goal of the solution is to increase carriers’ combined ratios by two to three percent in order to open up new income streams. Insurance carriers can achieve a 30- to 35 percent boost in underwriter productivity and efficiency by implementing Underwriter Copilot.

By removing the need for time-consuming searches across several tools, documents, and data sources, the Coforge Advisor Copilot solution gives financial quick access to full fund information and performance data through an intuitive interface. Financial advisers and asset managers should become more productive by more than thirty percent thanks to the solution.

According to Sudhir Singh, Executive Director & CEO of Coforge, “Coforge is leveraging its deep industry strengths and customer partnerships to build industry specific generative AI solutions on the Microsoft platform to drive transformation and enhance productivity.” Our efforts to provide our clients with generative AI solutions that lead the market will go even faster thanks to our partnership with Microsoft. He went on, “We are announcing two new copilots today: Advisor Copilot for financial services businesses and Underwriter Copilot for insurance carriers.

“Our combined commitment to transforming and scaling organizational capabilities of financial services firms globally is demonstrated by the Coforge Copilot Innovation Hub. The 2024 Work Trend Index Annual Report states that 75% of individuals utilize AI at work, and that the use of generative AI has nearly doubled in the last six months. According to David Smith, Vice President, WW Channel Sales, Microsoft, “Coforge and Microsoft are dedicated to spearheading AI adoption, fostering innovation, and unleashing business value for businesses worldwide.”

Through the automation of manual chores, the improvement of decision-making through the creation of suggestions based on corporate data, and the streamlining and optimization of business processes, these copilots will increase operational efficiency by utilizing Microsoft’s generative AI products and technologies. These solutions will help businesses generate new value streams and speed up change.

Microsoft’s generative AI products will be easier to implement with the Coforge Copilot Innovation Hub, leading to increased productivity and better business results.

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Samsung Appoints New Leader for Chip Unit as AI Competition Intensifies

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As the race to build artificial intelligence processors heats up, Samsung Electronics has replaced the leader of its semiconductor division.

In an unexpected announcement made by the business on Tuesday, Vice Chairman Jun Young-hyun has been named head of Samsung’s device solutions division. The company’s foundry, memory, and system semiconductor divisions are managed under the device solutions division.

“Vice Chairman Jun Young-hyun is the key player who took Samsung Electronics’ memory semiconductor and battery businesses to the global top-tier level,” the company stated in a news release.

Samsung is making this announcement as it battles to overtake its regional rival SK Hynix in the market for AI memory chips. When it comes to high-bandwidth memory (HBM) chips, which are essential for AI computing, SK Hynix is in the lead.

According to Samsung, if the board and shareholders approve, Jun may also be named as the company’s chief executive. Samsung has two chief executive officers: one leads the company’s semiconductor division, while the other oversees its mobile and visual display businesses.

Before taking on the role of chief executive of Samsung SDI, the company’s battery division, Jun led Samsung’s memory chip business team for three years, from 2014 to 2017. In 2000, he made his debut as a member of Samsung’s memory chip business team.

Kyung Kye-hyun, who oversaw the semiconductor branch since2022, is replaced by Jun. During the memory chip market collapse, the division under his direction reported billion-dollar losses. The 61-year-old Kyung has been posting lengthy and in-depth posts on social media platforms like LinkedIn and Instagram about subjects including technology and climate change.

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Kudos Secures $10.2 Million for Its AI-Powered Smart Wallet

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The Four Cities Fund, Samsung Next, SV Angel, Precursor Ventures, The Mini Fund, Newtype Ventures, Patron, and The Points Guy creator Brian Kelly all participated in the funding round.

Kudos, an app and browser extension, was founded in 2001 by a group with prior expertise at Google, PayPal, and Affirm. It functions as a smart wallet assistant by suggesting or choosing the best credit card for customers to use when making payments in order to optimize rewards and cash back.

Recently, the company introduced a number of new features: Dream Wallet, which suggests cards to members based on their spending patterns; MariaGPT, an AI-powered card discovery tool with over 3000 cards in its database; and Kudos Boost, which offers personalized rewards across over 15,000 partner brands, such as Walmart and Sephora.

Since its initial fundraising round, Kudos has raised its annualized checkout Gross Merchandise Value to $200 million and expanded to over 200,000 registered users.

It intends to use the additional funds to develop MariaGPT into a comprehensive personal finance assistant, introduce an AI-powered hub offering expenditure optimization insights, and create a gateway that lets users book flights using points.

As consumers budgets, various credit cards, and sometimes complex rewards programs, they want to know they’re receiving the best value for their money, according to Tikue Anazodo, CEO of Kudos. With just one user-friendly app and extension, Kudos streamlines everything.”

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