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We’re excited to bring you the latest developments in AI and technology through our weekly NexaQuanta Newsletter.
Each edition highlights groundbreaking advancements, industry insights, and innovations shaping the future of AI, cloud computing, and IT management.
Stay updated on how leading companies push boundaries to drive smarter solutions and empower businesses worldwide.
This newsletter delves into IBM’s integrating Apptio solutions with Microsoft Azure, creating smarter IT planning tools.
We also explore IBM and AWS’s collaboration on responsible generative AI, Alibaba’s new QwQ-32B-Preview reasoning model, and IBM’s recognition as a leader in order management systems.
IBM Brings Apptio Solutions to Microsoft Azure for Smarter IT Planning
IBM has announced the integration of its Apptio product portfolio with Microsoft Azure. This move is set to help organisations better manage IT budgets and technology planning.
Customers can now access IBM Targetprocess, a leading enterprise agile planning software, directly on the Azure Marketplace.
The Targetprocess tool helps portfolio managers and finance teams align budgets with technology priorities. It integrates seamlessly with Azure DevOps, offering simplified management, increased efficiency, and potential cost savings.
The software also supports Agile frameworks like SAFe, giving organisations flexibility in aligning their practices.
IBM is also expanding its software availability on the Azure Marketplace to 14 new countries, including Australia, Canada, Germany, and the UK. Clients can now purchase IBM tools like watsonx.ai, IBM Planning Analytics, and SingleStoreDB using their Microsoft Azure Consumption Commitment.
Nick Otto, IBM’s Head of Global Strategic Partnerships, emphasised the value of this collaboration, stating that it simplifies the purchasing process and supports digital transformation journeys.
Microsoft’s Dinis Couto highlighted how this partnership addresses evolving tech needs and drives better IT management.
IBM plans to bring more Apptio products, such as Apptio Costing and Planning, to the Azure Marketplace by the end of 2024.
This collaboration reinforces IBM’s and Microsoft’s shared vision for hybrid cloud and AI-driven innovation.
Check details by visiting this link.
IBM and AWS Unite to Scale Responsible Generative AI
IBM and AWS are taking their partnership to the next level by focusing on responsible generative AI. At AWS re:Invent, the two companies announced new milestones to help businesses adopt AI with transparency, security, and trust.
A key highlight is the availability of IBM’s Granite models on Amazon Bedrock and SageMaker JumpStart.
These enterprise-grade AI models are tailored to business needs and powered by AWS infrastructure for high performance and cost efficiency.
IBM also integrates its watsonx—governance framework with SageMaker, offering streamlined risk assessment and model approval workflows for better AI governance.
IBM Instana Generative AI Observability now provides enhanced visibility and resource optimisation for AI applications on AWS, ensuring seamless performance. Additionally, IBM’s new Autonomous Security for Cloud (ASC), launching in December, automates cloud security management to reduce risks.
Chris Grusz, AWS’s Managing Director of Technology Partnerships, emphasised the collaboration’s focus on empowering customers to leverage responsible AI.
IBM Consulting also showcases its expertise with solutions like Digital KYC and AIOps, powered by AWS generative AI technologies.
This partnership enables organisations to scale AI adoption confidently while meeting modern security and operational demands.
.For details, visit this link.
DeepSeek Introduces a Challenger to OpenAI with Reasoning Model
AI research company DeepSeek has unveiled a preview of its latest reasoning model, DeepSeek-R1, designed to compete with OpenAI’s o1. The model excels in key math and coding benchmarks, boasting similar performance while adopting a unique approach to accuracy.
DeepSeek-R1 takes additional time to process complex tasks, spending tens of seconds analysing queries to deliver precise results.
Currently, the model is available for limited inquiries, with plans to release an open-source version shortly.
This development marks a significant step in advancing reasoning models, offering an alternative to existing solutions and paving the way for more accessible AI innovation.
Check this link for more details.
IBM Named Leader in Order Management Systems by IHL Group
IHL Group, an independent research and advisory firm, has recognised IBM as a top leader in the order management systems (OMS) market.
In its latest report, The Order Management Market – 2024, IHL highlighted IBM Sterling® Order Management for its advanced functionality, AI-driven optimisation, and seamless integration across retail channels.
IBM Sterling OMS achieved the highest scores in several categories, including AI/machine learning capabilities, earning leadership status in 7 of 13 key areas.
The solution’s standout features include generative AI-powered call centre enhancements, enabling customer service teams to deliver proactive support, predictive order insights, and improved operational efficiency.
The report praised IBM’s “innovation and breadth of capabilities,” emphasising its ability to outpace competitors in AI integration and functional depth.
Integrating IBM watsonx.ai™, the Sterling® Call Center offers pre-built generative AI use cases to optimise workflows, improve agent training, and accelerate order servicing.
This recognition reinforces IBM’s commitment to infusing AI across its portfolio, empowering businesses with smarter order management solutions to navigate today’s complex fulfilment landscape with precision and agility.
IBM also continues to receive accolades from IDC and other analysts for its cutting-edge strategies in OMS and fulfilment solutions.
Click here for more details.
Alibaba’s QwQ-32B-Preview: A New Reasoning AI Model Challenges OpenAI
Alibaba’s Qwen team has introduced QwQ-32B-Preview, a reasoning AI model boasting 32.5 billion parameters.
This model rivals OpenAI’s o1 series and is available for download under a permissive Apache 2.0 license, making it one of the few commercially usable reasoning models in the market.
QwQ-32B-Preview can handle prompts of up to 32,000 words and surpasses OpenAI’s o1-preview on benchmarks like AIME and MATH. These tests evaluate advanced reasoning capabilities, including solving complex math problems and logic puzzles.
While Alibaba’s model exhibits self-checking mechanisms to improve accuracy, it faces occasional challenges, such as language switching and tasks requiring common sense reasoning.
The model’s performance on sensitive topics aligns with Chinese regulations, emphasising “core socialist values.” For instance, it defines Taiwan as an “inalienable” part of China and avoids addressing events like Tiananmen Square.
These responses illustrate how geopolitical considerations influence AI development.
Despite being labelled “open,” only parts of QwQ-32B-Preview’s architecture are available, limiting full replication or transparency into its design.
This positions the model as a midpoint on the openness spectrum, balancing accessibility with proprietary constraints.
Developers can explore QwQ-32B-Preview via the AI platform Hugging Face, marking a significant step in making advanced reasoning AI tools more accessible while navigating ethical and regulatory boundaries.
For further details, visit the link.
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