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Bridging the Hole Unlock the Energy of OT Expertise within the Digital Age


When Hackers Shut Down the Manufacturing facility Ground: Are Your OT Techniques Protected?

Think about this: A significant manufacturing plant grinds to a halt. Not due to a mechanical failure, however due to a complicated cyberattack concentrating on its Operational Know-how (OT) techniques. Manufacturing traces cease, important infrastructure is compromised, and the monetary and reputational harm is immense. This isn’t a hypothetical situation; it’s a rising actuality.

As Expertise and Coaching Product Managers at Cisco, we see firsthand the rising vulnerability of OT environments and the pressing want for professionals who perceive each OT and IT. The convergence of those two worlds is not a future development, it’s occurring now, driving innovation, optimizing processes, and enhancing security in important infrastructure and industrial environments. However this convergence additionally introduces new safety dangers.

Why OT Expertise Matter Extra Than Ever

Historically, OT targeted on controlling bodily gadgets and processes, whereas IT dealt with knowledge and communication. However in as we speak’s digital age, these two worlds are colliding. This implies professionals want a brand new set of expertise to:

  • Analyze Information: Extract worthwhile insights from the huge quantities of information generated by OT techniques.
  • Improve Cybersecurity: Safe important infrastructure and legacy gadgets from evolving cyber threats.
  • Combine Techniques: Seamlessly join OT and IT techniques for improved effectivity and visibility.

Cisco: Your Companion in OT Talent Growth

At Cisco, we’re dedicated to serving to you and your group navigate the OT-IT digitization wave. We provide a spread of sources and coaching packages designed to equip you with the data, expertise, and skills you want to achieve an OT atmosphere.

Be a part of us at Cisco Dwell!

We’re excited to announce our Cisco Dwell presentation: “Bridging the Hole – Unlocking the Energy of OT Expertise within the Digital Age.” In this session, you’ll be taught:

  • The importance of OT-IT convergence in as we speak’s digital panorama.
  • The core OT expertise which can be important for fulfillment.
  • How one can future-proof your profession by leveraging OT expertise.

Don’t get left behind. Put money into your OT expertise as we speak and unlock the ability of the digital age.

We encourage you to discover Cisco’s sources for additional studying and ability growth. We stay up for seeing you at Cisco Dwell!

Cisco Dwell 2025 – San Diego

Cisco U.

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Amazon launches serverless distributed SQL database, Aurora DSQL


Amazon has introduced that Amazon Aurora DSQL is lastly usually out there after first being launched as a preview at re:Invent final 12 months.

Aurora DSQL is a serverless distributed SQL database designed for at all times out there purposes, that includes capabilities targeted on offering scalability, excessive availability, and nil infrastructure administration. Particularly, Amazon claims 99.99% availability in a single area and 99.999% availability throughout a number of areas. 

In single area configurations, Aurora DSQL commits all write transactions to a distributed transaction log and replicates all dedicated log knowledge to consumer storage replicas throughout three Availability Zones. By distributing storage replicas, Aurora DSQL is ready to guarantee optimum learn efficiency.

Multi-region clusters enhance availability additional by using a Regional endpoint for every peered cluster Area (two in complete). Every of the endpoints current a single logical database and assist concurrent learn and write operations. A 3rd Area additionally acts as a log-only witness. Based on Amazon, this structure permits clients to steadiness and optimize for geographic places, efficiency, or resiliency. 

“Aurora DSQL is a perfect option to assist purposes utilizing microservices and event-driven architectures, and you may design extremely scalable options for industries reminiscent of banking, ecommerce, journey, and retail. It’s additionally best for multi-tenant software program as a service (SaaS) purposes and data-driven providers like cost processing, gaming platforms, and social media purposes that require multi-Area scalability and resilience,” Amazon wrote in a weblog publish

Aurora DSQL additionally has an MCP server to allow builders to work together with their database utilizing pure language, enabling duties reminiscent of exploring database schema, understanding desk construction, and executing SQL queries. 

For the reason that preview final 12 months, Amazon has additionally improved the cluster administration expertise, built-in with extra AWS providers (AWS Backup, AWS PrivateLink, AWS CloudFormation, and AWS CloudTrail), and added extra PostgreSQL options like assist for views, distinctive secondary indexes for tables with present knowledge, and Auto-Analyze. 

Amazon has supplied a easy tutorial on the best way to arrange Aurora DSQL in its weblog publish asserting the discharge. 

Refroid launches India’s first knowledge middle CDUs



They use warmth exchangers and pumps to manage the movement and temperature of fluid delivered to gear for cooling, whereas isolating the expertise cooling system loop from facility techniques.

The expertise addresses limitations of conventional air cooling, which trade consultants say can’t adequately deal with the warmth generated by fashionable AI processors and high-density computing purposes.

Strategic significance for India

Trade analysts view the event as a essential milestone for India’s knowledge middle ecosystem. “India generates 20% of world knowledge, but contributes solely 3% to world knowledge middle capability. This imbalance will not be merely spatial — it’s systemic,” mentioned Sanchit Vir Gogia, chief analyst and CEO at Greyhound Analysis. “The emergence of indigenously developed CDUs indicators a strategic pivot. Home CDU innovation is a defining second in India’s transition from knowledge centre host to expertise co-creator.”

Neil Shah, VP for analysis and associate at Counterpoint Analysis, famous that main worldwide gamers like Schneider, Vertiv, Asetek, Liquidstack, and Zutacore have been driving most CDU deployments in Indian enterprises and knowledge facilities. “Having an area indigenous CDU tech and provider designed with Indian climate, infrastructure and prices in thoughts expands choices for home knowledge middle demand,” he mentioned.

AI driving knowledge middle cooling revolution

India’s knowledge middle capability reached roughly 1,255 MW between January and September 2024 and was projected to broaden to round 1,600 MW by the top of 2024, in response to CBRE India’s 2024 Information Middle Market Replace. A number of market analysis companies have projected the India knowledge middle market to develop from about $5.7 billion in 2024 to $12 billion by 2030.

Bhavaraju cited aggressive projections for the sector’s growth, with AI workloads anticipated to account for 30% of whole workloads by 2030. “All of them want liquid cooling,” he mentioned, noting that “as we speak’s newest GPU servers – GB200 from Nvidia are by default, liquid cooled.”

China to spice up chip-to-server ecosystem with the merger of Hygon and Sugon



“The merger of Hygon and Sugon strategically integrates Hygon’s chip design experience with Sugon’s server and supercomputing capabilities, enabling vertical synergy from chips to programs,” mentioned Charlie Dai, VP and principal analyst at Forrester.

In response to Greyhound Analysis, 58% of AI-focused corporations in China have accelerated efforts to take away US know-how from their stacks since mid-2023.

“For the worldwide tech provide chain, this introduces new bifurcations,” mentioned Sanchit Vir Gogia, chief analyst and CEO at Greyhound Analysis. “International locations and companies that relied on Chinese language meeting for US-designed elements could now face dual-track compliance and interoperability challenges. In the meantime, rising markets may see China’s vertically built-in choices as viable, lower-cost alternate options for AI infrastructure.”

The merger underscores the shifting dynamics for international tech leaders, who should now assess how China’s inward flip might recalibrate worldwide know-how requirements and provide chains.

“For international CIOs, this transfer alerts a maturing of China’s end-to-end AI infrastructure ecosystem, particularly for regulated industries akin to public providers, protection, and banking,” Gogia added. “However whereas it shores up inside resilience, it additionally narrows the runway for cross-border innovation.”

The merger additionally displays a probable shift in procurement tendencies, with Chinese language institutional consumers anticipated to more and more prioritize domestically constructed computing infrastructure over US-sourced applied sciences, in accordance with Manish Rawat, semiconductor analyst at TechInsights.

“It additionally factors to the gradual emergence of a parallel international tech ecosystem, as China develops its personal requirements and provide chains unbiased of Western affect,” Rawat mentioned. “Past financial consolidation, the merger serves as a geopolitical safeguard, serving to China mitigate the influence of future sanctions whereas highlighting the dangers international tech corporations face in sustaining entry to China’s huge market.”

Google’s gambit, half 2 | Cell Dev Memo by Eric Seufert


Google hosted its annual I/O developer convention final week. Predictably, each product showcase emphasised AI-enabled performance; this video gives a useful, 10-minute overview of all the things that was highlighted. Google revealed a number of new options and core merchandise on the occasion, together with:

  • Two new subscription plans for Gemini: Google AI Professional ($19.99 / mo) and Google AI Extremely ($249.99 / mo);
  • A “Deep Assume” mode for the Gemini 2.5 mannequin;
  • Agent Mode” for the Gemini app and expanded performance for Mission Mariner, each of which are actually obtainable for Google AI Extremely subscribers. It’s not clear how these options are differentiated (Mission Mariner was launched into beta late final yr as a browser-based agent), as they each present agentic capabilities;
  • Veo 3, an up to date video generative mannequin that may additionally produce audio, and Imagen 4, an up to date picture era mannequin.
  • Stream, an AI film-making software primarily based on Veo 3.

However the firm made two different revelations at I/O that present readability round its business technique with AI. The primary is the introduction of “AI Mode” to Search, which was rolled out to US-based customers on Might twentieth. AI Mode makes use of Mission Mariner to convey “extra superior reasoning, pondering and multimodal capabilities” to Google Search queries: basically, it’s a search-optimized chatbot accessible from the homepage.

Google introduced at Google Advertising Dwell, the advertising-focused facet occasion held the day after the I/O mainstage occasion, that advertisements are already dwell in AI Mode. Additional, at I/O, the corporate unveiled a digital dressing room function that makes use of AI Mode to assist facilitate product discovery and buying instantly from the question.

I view AI Mode because the pure and apparent development of what I’ve referred to as Google’s gambit: its crucial to transition Search from a content material distribution mechanism to a content material sink, capturing consumer engagement by AI-enabled interplay touchpoints and monetizing that elevated engagement with promoting. From that piece:

As a distribution mechanism, Google optimizes to generate one click on per search: a consumer considers a search question profitable if it results in a click on to the suitable vacation spot from the primary web page of outcomes. However the incentive with AI Overviews could be very clearly totally different: it’s to unravel the consumer’s wants with out resulting in a click on, probably whereas instigating additional queries and, due to this fact, elevated time spent with AI Overviews. And advertisements are displayed every time AI Overviews are rendered, probably main to at least one click on per question because the consumer refines their search. In impact, with AI Overviews, Google can seize the conversions and advert clicks that happen subsequent to a profitable search question within the present distribution mechanism configuration.

It appears clear that Google seeks to execute a whole Ship of Theseus transformation of Search from a hyperlink rating product right into a fully-contained shopper discovery engine that facilitates commerce by its chatbot and with different, novel options just like the aforementioned digital becoming room. AI Mode is solely in step with Google’s motivations associated to the open internet: as I talk about in Google was the open internet’s imperfect benefactor, with its Community enterprise threatened by the result of its “advert tech” antitrust trial, Google has little incentive to protect Search’s function as a content material discovery software since it might not be capable of absolutely or effectively monetize the engagement that takes place on internet locations. I made the purpose extra pointedly in a current interview with Ben Thompson on Stratechery:

And also you may say, “Watch out what you would like for”, as a result of in the event that they lose whichever a part of the Google community enterprise, it could possibly be the provision facet, could possibly be the demand facet, they’ve zero incentive to assist the open internet … What are they already doing? They’re already inserting AI overviews into the complete above the fold phase of Google search and if they are saying, “Look, we simply don’t care concerning the open internet anymore, we are able to’t monetize it”, then they’re going to desire all the businesses that they’ve knowledge licensing offers with, like Reddit, to desire and prioritize these ends in the AI overviews, drive visitors to them, instantiate that suggestions loop and earn a living on the advertisements that they serve on AI overviews.

This technique seems to be working: Google revealed at I/O that, “in [its] largest markets, just like the US and India, AI Overviews are driving over 10% progress within the forms of queries that present them. What’s notably thrilling is that this progress will increase over time.” Additional, the corporate famous in its Q1 2025 earnings report that AI Overviews are monetizing “on the identical charge” as Search. If AI Overviews is growing question quantity whereas attaining the identical stage of monetization as Search, why would Google wish to protect conventional Search? AI Mode appears explicitly designed to cannibalize outbound search consequence clicks even additional.

Taken collectively, these updates trace at Google’s intent to totally reposition Search: not as a place to begin for third-party content material navigation, however as a self-contained commerce and discovery platform constructed round AI engagement.

The second revelation from I/O that brings Google’s business AI technique into sharper focus was extra refined: Sundar Pichai famous that Gemini with personalization, a product function launched in March, can be utilized to Gmail with Personalised Good Replies, which permit generative textual content to be tailor-made to the linguistic patterns of the consumer. However the function was described in much more common and far-reaching phrases than that:

Together with your permission, Gemini fashions can use related context throughout your Google apps in a method that’s non-public, clear, and absolutely underneath your management … Gemini can do nearly all of the work for me: wanting up my notes in Drive, scanning previous emails for reservations, Gemini matches my typical greetings from previous emails, captures my tone, type, and favourite phrase decisions, after which it routinely generates a reply.

What Pichai describes right here isn’t merely a Gmail function: it’s a broadly-applicable personalization engine that Google could also be singularly positioned to construct and deploy, given the a number of touchpoints — and huge pool of knowledge — it enjoys with most customers throughout Gmail, Search, Drive, Maps, and elsewhere. Word that what’s being described isn’t a mannequin skilled on user-level knowledge, which is impractical. This sounds much more profound: a mannequin utilized to the output layer of Gmail, however related in lots of extra contexts, that determines how and the place personalization could be completed utilizing that consumer’s cross-product knowledge footprint as enter.

Given the various breadth of merchandise that Google operates, the corporate has an awfully privileged place in bringing personalization to bear for its customers. Electronic mail building is an apparent and pretty tame software, however the use instances are almost countless. If Google’s instruments can actually personalize output using the various volumes of knowledge collected throughout its multitude of floor areas, then its AI instruments stand one of the best likelihood at offering an all-in-one agentic expertise. And thru its pricing mannequin, Google appears to be nudging shoppers on this path: the $249.99 month-to-month Google AI Extremely subscription is priced to preclude the potential of a shopper subscribing to a number of AI instruments.

A premium shopper pricing tier isn’t distinctive: ChatGPT Professional is $200 per thirty days, and Anthropic’s Claude Max is $100 per thirty days. And whereas different fashions can connect with a consumer’s Google Workspace account through API, which might provide learn entry to a consumer’s Gmail account, Google has the advantage of the totality of the information generated by its customers in logged-in state, throughout its properties in addition to Chrome. Google lords over a useful trove of diversified historic knowledge for every of its customers that’s incomparable in quantity and scope.

And clearly, Google’s capability to personalize AI output is instantly associated to its potential to personalize the advertisements uncovered to its prospects, with elevated engagement delivering extra knowledge to make use of for precisely that goal. Google launched AI Max for Search Campaigns, an automatic suite of concentrating on and keyword-matching instruments, in early Might, and the corporate launched Good Bidding, which adjusts bids dynamically, on the Google Advertising Dwell occasion. These units of instruments share the identical basic goal — personalization — and they’re mutually reinforcing. Google’s potential to ship elevated engagement with AI Overviews and AI Mode gives not solely extra alternatives to reveal advertisements, however as engagement throughout different floor areas deepens by personalization, the corporate gathers extra and higher knowledge for concentrating on advertisements.