Category: Big Data

Enterprise big data and analytics cuts through the hype to make sense of data collection, storage, management, dissemination, and discovery technologies, all employed collectively as a means of realizing corporate efficiencies and uncovering business opportunities.

Cisco Quantum – Simply Network All the Quantum Computers

by Steven J. Schuchart Jr., posted in Big Data
S. Schuchart

Cisco’s Quantum Labs research team, part of Outshift by Cisco, has announced that they have completed a complete software solution prototype. The latest part is the Cisco Quantum Complier prototype, designed for distributed quantum computing across networked processors. In short, it allows a network of quantum computers, of all types, to participate in solving a single problem. Even better, this new compiler supports distributed quantum error correction. Instead of a quantum computer needing to have a huge number of qbits itself, the load can be spread out among multiple quantum computers. This coordination is handled across a quantum network, powered by Cisco’s Quantum Network entanglement chip, which was announced in May 2025. This network could also be used to secure communications for traditional servers as well.

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Technology Leaders Can Leverage TBM to Play a More Strategic Role in Aligning Tech Spend with Business Values

by siowmeng, posted in Big Data, Cloud Enable, IT Leader
S. Soh

Summary Bullets:

  • Organizations are spending more on technology across business functions, and it is imperative for them to understand and optimize their tech spending through technology business management (TBM).
  • IBM is a key TBM vendor helping organizations to drive their IT strategy more effectively; it is making moves to extend the solution to more customers and partners.

Every company is a tech company. While this is a cliché, especially in the tech industry, it is becoming real in the era of data and AI. For some time, businesses have been gathering data and analyzing them for insights to improve processes and develop new business models. By feeding data into AI engines, enterprises accelerate transformation by automating processes and reducing human intervention. The result is less friction in customer engagement, more agile operations, smarter decision-making, and faster time to market. This is, at least on paper, the promises of AI.

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Mistral AI’s Independence from US Companies Lends it a Competitive Edge

by Beatriz Valle, posted in Big Data
B. Valle

Summary Bullets:

• Mistral AI’s valuation went up to EUR11.7 billion after a funding round of EUR1.7 billion spearheaded by Netherlands-based ASML.

• The French company has the edge in open source and is well positioned to capitalize on the sovereign AI trend sweeping Europe right now.

Semiconductor equipment manufacturer ASML and Mistral AI announced a partnership to explore the use of AI models across ASML’s product portfolio to enhance its holistic lithography systems. In addition, ASML was the lead investor in the latest funding round in the AI startup and now holds 11% share on a fully diluted basis in Mistral AI.

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The EU is a Trailblazer, and the AI Act Proves It

by Beatriz Valle, posted in Big Data
B. Valle

Summary Bullets:

• On August 2, 2025, the second stage of the EU AI Act came into force, including obligations for general purpose models.

• The AI Act first came into force in February 2025, with the first set of applications built into law; the legislation follows a staggered approach with the last wave expected for August 2, 2027.

August 2025 has been marked by the enforcement of a new set of rules as part of the AI Act, the world’s first comprehensive AI legislation, which is being implemented in gradual stages. Like GDPR was for data privacy in the 2010s, the AI Act will be the global blueprint for governance of the transformative technology of AI, for decades to come. Recent news of the latest case of legal action, this time against OpenAI, by the parents of 16-year-old Adam Raine, who ended his life after months of intensive use of ChatGPT, has thrown into stark relief the potential for harm and the need to regulate the technology.

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IBM Think on Tour Singapore 2025: An Agentic Enterprise Comes Down to Tech, Infrastructure, Orchestration, and Optionality

by Dustin Kehoe, posted in Big Data, IT Leader
D. Kehoe

Summary Bullets:

• Cloud will have a role in the AI journey, bit no longer the destination. The world will be hybrid, and multi-vendor.

• Agentic AI manifests from this new platform but will be double-edged sword. Autonomy is proportionate to risk. Any solution that goes to production needs governance.

The AI triathlon is underway. A year ago the race was about the size of the GenAI large language model (LLM). Today, it is the number AI agents connecting to internal systems to automate workflows, moving to the overall level of preparedness for the agentic enterprise. The latter seems about giving much higher levels of autonomy to AI agents to set own goals, self-learn and make decisions, possibly manage other agents from other vendors, that impact customers (e.g., approving home loans, dispute resolution, etc.). This, in turn, influences NPS, C-SAT, customer advocacy, compliance, and countless other metrics. It also raises many other legitimate legal, ethical, and regulatory concerns.

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GPT-5 Has Had a Rocky Start but Remains an Extraordinary Achievement

by Beatriz Valle, posted in Big Data, Cloud Enable, IT Leader
B. Valle

Summary Bullets:

  • OpenAI released GPT-5 on August 7, 2025, a multimodal large language model (LLM) with agentic capabilities.
  • This is the latest iteration of the famous chatbot, and the most important upgrade since the release of the previous generation, GPT-4, in 2023.

As it happens sometimes when a product is thrust with such force into the realm of popular culture, the release of GPT-5 sparked a veritable PR crisis, leading CEO Sam Altman to make a public apology and backtrack on the decision to remove access to all previous AI models in ChatGPT. Unlike enterprise customers, which received advanced warnings of such movements, consumer ChatGPT users did not know their preferred models would disappear so suddenly. The ensuing kerfuffle highlighted the strange co-dependency relationship that some people have developed with the technology, creating no end of background noise surrounding this momentous release.

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The Season of Agentic AI Brings Bold Promises

by Charlotte Dunlap, posted in Big Data, IT Leader
C. Dunlap Research Director

Summary Bullets:

  • Spring/summer platform conferences led with AI agent news and strategies
  • AI agents represent the leading innovation of app modernization, but DevOps should be wary of over-promising

During this season of cloud platform conferences, rivals are vying to own the headlines and do battle in the cloud wars through their latest campaigns and strategies involving AI agents.

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New Zoom Workplace Enhancements Symbolize Both Opportunity and Hurdles for Zoom

by Gregg Willsky, posted in Big Data
G. Willsky

Summary Bullets:

  • New Zoom Workplace features are emblematic of the advent of agentic AI and the rise of Zoom as a competitor.
  • A rapid accumulation of Workplace features provides Zoom with the challenge of drafting clear messaging regarding security and market positioning.

Earlier this month Zoom continued its steady drumbeat of enhancements to the Zoom Workplace platform with the latest round of new features. As with previous rounds, the new capabilities enable users to be more productive by saving time during their workday. However, the real headline is that the features are emblematic of the advent of agentic AI and the rise of Zoom as a competitor.

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Google Cloud Focuses on Agentic AI During UK Summit

by Beatriz Valle, posted in Big Data, Cloud Enable
B. Valle

Summary Bullets:

• The Google Cloud summit was held in London (England) on July 9-10, 2025. The company said there are now over seven million developers operating within Google Vertex AI Studio.

• The company has expanded into 42 cloud regions, adding that 90% of AI unicorns are running on Google Cloud.

Google Cloud highlighted a wealth of customer cases during the Google Cloud summit held in London on July 9-10, 2025. Google Cloud has a data center in Waltham Cross (England), which will be fully operational by end-2025 to provide British businesses with high-performance computing (HPC) services. Various new capabilities for agentic AI that are aligned with business needs were highlighted. This shows strong momentum, but there are a few considerations for Google Cloud to strengthen its position in the enterprise, such as the need for stronger skills in the area of consulting, for example.

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HPE’s Concessions Made to US DoJ to Acquire Juniper Will Have an Uncertain Impact

by Steven J. Schuchart Jr., posted in Big Data, Network
S. Schuchart

Summary bullets:

• The long-awaited merger is nearly here

• The impact of these concessions will play out over time

The long, drawn-out saga of HPE’s quest to buy Juniper has reached another milestone. HPE and the United States Department of Justice (DoJ) have reached a deal that, pending judicial approval, will allow the transaction to complete. However, there are a couple of concessions on HPE’s part. First it must divest its HPE Aruba Instant On business within 180 days to satisfy the DoJ’s worries about Wi-Fi market share of the combined companies. Second, HPE must auction off a perpetual, non-exclusive license to the source code for AI Ops for Mist.

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