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SATMAR nanosatellite to debut in June advancing digital maritime connectivity


SATMAR nanosatellite to debut in June advancing digital maritime connectivity

by Hugo Ritmico

Madrid, Spain (SPX) Might 28, 2025






The maritime business’s digital evolution will acquire momentum on June 21 with the scheduled launch of SATMAR, a 6U nanosatellite engineered totally by Alen Area. The satellite tv for pc will carry off aboard a SpaceX Falcon 9 rocket through the Transporter-14 rideshare mission from Vandenberg Area Power Base in California.



Developed in collaboration with Egatel and backed by Spain’s Ports 4.0 innovation program, SATMAR is designed to validate the VHF Knowledge Change System (VDES), a next-generation maritime communication customary set to supersede the present Computerized Identification System (AIS). Ports 4.0 is led by Puertos del Estado and the Spanish Port Authorities to drive disruptive innovation inside port infrastructure.



SATMAR will function an orbital platform to check real-world functions of VDES over Spanish territorial waters. The satellite tv for pc will assess bidirectional knowledge switch within the VHF band, aiming to cut back communication saturation and improve the effectivity, safety, and environmental sustainability of world maritime operations.



Use case testing will likely be carried out in partnership with the Port Authority of the Bay of Algeciras and corporations resembling Oritia and Boreas. SATMAR will assist functionalities together with VDES sign transmission, long-range coastal connectivity, encrypted messaging, maritime security alerts, and correct vessel arrival predictions.



“This can be a pioneering mission with world implications,” acknowledged Guillermo Lamelas, CEO of Alen Area. “The VDES customary is poised to redefine maritime communications, bringing forth digital transformation, new companies, and significant security enhancements for vessels and ports.”



Past its main VDES mission, SATMAR additionally hosts a secondary payload for spectrum evaluation, positioning the satellite tv for pc as an orbiting Software program Outlined Radio (SDR) take a look at lab. It can experiment with high-speed S-band communications and monitor RF interference throughout VHF, L, and S bands. Payloads had been designed with in-orbit reconfigurability to regulate testing because the mission evolves.



The satellite tv for pc builds on the inspiration of the SHIPMATE undertaking, beforehand developed by Alen Area and Egatel with Gradiant, reinforcing a sustained dedication to advancing space-based maritime digitalization.


Associated Hyperlinks

Alen Area

VSAT Information – Suppliers, Know-how And Purposes



A Strategic Information for CTOs and QA Leaders


Are you a CTO, QA Director, or testing chief wanting so as to add AI to your testing processes?

In that case learn on to find learn how to implement AI testing automation that delivers quick ROI whereas future-proofing your high quality assurance technique.

This complete information supplies a vendor-neutral, actionable 90-day roadmap for implementing AI in software program testing—serving to you enhance software program high quality, cut back testing time by as much as 70%, and dramatically enhance crew effectivity.

NOTE: This content material is predicated on actual insights from our BlinqIO webinar that includes Tal Barmeir and Sapnesh Naik.

Why AI Testing Automation Is No Longer Non-compulsory

I’ve spoken with a bunch of testing consultants on each my automation testing podcasts and webinars and I’ve come to this conclusion:

AI is not optionally available in software program testing—it’s a strategic benefit. AI-powered testing instruments now automate every little thing from take a look at case technology to check execution, liberating up your crew to give attention to higher-quality software program releases.

Knowledgeable Level of View: What generative AI does is assist us actually shut an enormous backlog of testing necessities with very restricted protection—one thing we see throughout all industries.

– Tal Barmeir CEO of Blinq.io

At the moment’s AI-powered testing instruments automate every little thing from take a look at case creation to execution and upkeep, enabling your crew to:

  • Cut back take a look at creation time by as much as 80%
  • Lower take a look at upkeep prices by 40-60%
  • Speed up time-to-market with quicker launch cycles
  • Enhance take a look at protection throughout browsers, gadgets, and environments
  • Release worthwhile engineering assets for innovation

This information supplies a structured strategy to implementing AI testing that delivers each quick wins and long-term transformation.

Watch Free Coaching On AI Testing for CTOs

Section 1 (Days 1–15): Set Your AI Testing Technique

Earlier than diving into instruments, outline the way you wish to use AI:

  • Assistive AI: Enhances the human-led testing course of
  • Autonomous AI: Absolutely AI-powered take a look at automation with human supervision

“Most organizations begin with assistive AI. However in a short time they understand the worth is proscribed—and attempt to transfer to full AI possession. That shift requires totally different instruments, construction, and mindset.”
— Tal Barmeir, CEO of Blinq.io

Key Strategic Choices for CTOs and QA Administrators:

  1. Automation Scope: Will your crew automate present take a look at instances, or enable AI to personal full take a look at script creation, execution, and upkeep?
  2. Integration Necessities: How will AI testing combine together with your present CI/CD pipeline and growth workflow?
  3. Success Metrics: What KPIs will measure success? (Take a look at protection, execution time, defect detection, and so on.)
  4. Danger Evaluation: Which purposes or options are finest fitted to preliminary AI testing implementation?

Government Motion Merchandise: Doc your AI testing imaginative and prescient, scope, and success standards earlier than continuing to software analysis.

Automation & Performance Engineers to Follow

Section 2 (Days 16–30): Redefine QA Roles and Testing Inputs

AI take a look at automation doesn’t get rid of roles—it transforms them.

Conventional Function

AI-Enhanced Function

Key Duties

Handbook Tester

Immediate Engineer

Creating efficient take a look at prompts, reviewing AI-generated exams

Automation Engineer

AI Take a look at Supervisor

Overseeing AI take a look at technology, execution, and upkeep

QA Supervisor

AI Testing Strategist

Defining AI testing technique, measuring ROI, optimizing processes

Knowledgeable Level of View: Individuals usually suppose AI means job loss. That’s not true. What it actually does is repurpose testers—handbook testers develop into immediate engineers, and automation engineers develop into supervisors of the AI’s work.

– Tal Barmeir CEO of Blinq.io

Increasing Take a look at Enter Sources

AI testing platforms can generate complete take a look at instances from varied inputs:

  • Jira tickets and person tales
  • Display recordings of software utilization
  • Pure language necessities
  • API specs and documentation
  • Current handbook take a look at instances
This flexibility eliminates the necessity for strict BDD frameworks or specialised take a look at case codecs, making AI testing accessible to groups at any maturity stage.
Git Hub Robot

Section 3 (Days 31–45): Consider AI Testing Instruments

The proper AI testing software should align together with your infrastructure, crew abilities, and long-term imaginative and prescient.

Important Options for Enterprise AI Testing Platforms

  1. Open-Supply Take a look at Code Technology: Produces maintainable code in customary frameworks (Playwright, Selenium, and so on.)
  2. Self-Therapeutic Capabilities: Robotically adapts to UI adjustments with out handbook intervention
  3. Complete Testing Help: Covers purposeful, visible, efficiency, and safety testing
  4. Enterprise Integration: Works together with your CI/CD pipeline, take a look at administration, and defect monitoring techniques
  5. Cross-Platform Testing: Helps net, cellular, API, and enterprise purposes (Salesforce, SAP, and so on.)
  6. Visible Testing: AI-powered visible comparability and anomaly detection
  7. Flaky Take a look at Administration: Identifies and resolves inconsistent exams robotically

Knowledgeable Level of View: Even for those who cease utilizing the seller, you are left with a code mission you may keep. No black field. No lock-in.

– Tal Barmeir CEO of Blinq.io

✔️ Choice Framework: Consider instruments primarily based in your particular necessities, present infrastructure, and crew capabilities. Prioritize platforms that generate customary, maintainable take a look at code over proprietary codecs.

Test Management Machine Learning Robot

Section 4 (Days 46–60): Practice for New AI-Enhanced Testing Roles

AI in take a look at automation introduces AI options and duties that elevate the function of your QA crew.

Crucial Expertise for the AI Testing Period

  • Immediate Engineering: Creating efficient take a look at prompts that generate complete take a look at protection
  • AI Take a look at Evaluation: Evaluating and refining AI-generated take a look at scripts
  • Take a look at Upkeep Administration: Overseeing self-healing capabilities and take a look at stability
  • Take a look at Prioritization: Figuring out which exams ship the best worth for every launch
  • Exploratory Testing: Focusing human creativity on edge instances and sophisticated eventualities

Knowledgeable Level of View: The previous abilities had been scripting and debugging. The brand new abilities? Writing prompts, reviewing AI ideas, and managing code at scale.

–Sapnesh Naik CBlinq.io

Coaching Assets for QA Groups

  • Inside workshops on AI testing ideas and immediate engineering
  • Vendor-provided coaching on particular AI testing platforms
  • Palms-on observe with actual software testing eventualities
  • Cross-training between handbook and automation testers

Management Focus: Encourage experimentation and create a studying setting the place groups can develop AI testing experience via sensible software.

Get your Testing Questions Answered by JoeBot AI

AirTest Robot

Section 5 (Days 61–75): Pilot and Broaden AI Take a look at Protection

Launch a targeted pilot mission utilizing 10–20 take a look at eventualities that ship quick, measurable influence and construct confidence in AI testing capabilities.

Perfect Pilot Mission Traits

  • Medium complexity software with steady UI
  • Current handbook take a look at instances for comparability
  • Common launch cycles to display CI/CD integration
  • Combination of regression, purposeful, and visible testing wants
  • Stakeholders open to innovation and course of change

Implementation Guidelines

  1. Choose pilot software and outline take a look at scope
  2. Configure AI testing software and combine with CI/CD
  3. Create preliminary take a look at prompts and generate baseline exams
  4. Execute exams throughout a number of environments
  5. Measure outcomes in opposition to conventional testing approaches
  6. Doc classes realized and optimization alternatives

This part is good for increasing take a look at protection throughout browsers, gadgets, and languages—leveraging the multilingual capabilities of AI fashions to check worldwide purposes effectively.

Automation Testing Flexing Robot

Section 6 (Days 76–90): Measure KPIs and Optimize

Observe key efficiency indicators to quantify the influence of your AI testing implementation and determine optimization alternatives.

Crucial AI Testing Metrics

  • Time-to-Launch: Discount in total testing cycle time
  • Take a look at Protection: Enhance in purposeful and platform protection
  • Upkeep Effort: Discount in take a look at script upkeep time
  • Defect Detection: Enchancment in defect identification fee
  • Useful resource Utilization: Shift in QA crew focus to higher-value actions

Knowledgeable Level of View: Most leaders suppose AI testing is about cost-cutting. However the largest ROI is definitely quicker time-to-market.

–Tal Barmeir CBlinq.io

Steady Enchancment Framework

  1. Evaluation AI take a look at efficiency and accuracy weekly
  2. Refine prompts primarily based on take a look at outcomes and missed eventualities
  3. Broaden AI testing to extra purposes and take a look at varieties
  4. Doc finest practices and share throughout groups
  5. Develop an AI testing middle of excellence

These insights will help your crew in making data-driven selections about take a look at protection, launch readiness, and high quality enhancements.

A cartoon robot with a clock on its chest and a red cape stands triumphantly at a conference table, surrounded by smiling CTOs in a meeting room.

Abstract: Your 90-Day AI Testing Implementation Roadmap

Section

Timeline

Focus

Key Deliverables

1

Days 1–15

Technique Definition

AI testing imaginative and prescient, implementation strategy, success metrics

2

Days 16–30

Function Transformation

Up to date crew construction, ability necessities, enter sources

3

Days 31–45

Software Choice

AI testing platform analysis, choice standards, proof of idea

4

Days 46–60

Workforce Coaching

Talent growth plan, coaching assets, information sharing

5

Days 61–75

Pilot Implementation

Preliminary AI take a look at suite, integration with CI/CD, baseline metrics

6

Days 76–90

Measurement & Optimization

Efficiency evaluation, optimization plan, growth technique

The Way forward for QA: AI-Powered Testing Management

With the suitable AI testing technique, your QA group is not simply preserving tempo—it is main the transformation to quicker, extra dependable software program supply.

You are not simply automating exams—you are empowering groups to reinforce and streamline the whole testing lifecycle, delivering higher-quality software program at unprecedented velocity whereas lowering threat and technical debt.

By embracing AI testing now, you will place your group on the forefront of high quality engineering, making a sustainable aggressive benefit via superior software program high quality and accelerated innovation.

Watch Free Coaching On AI Testing for CTOs

Triage Techniques from a Community Professional


The very first thing you study in community engineering — typically the onerous means — is that not all issues are created equal. Some tickets are real emergencies, whereas others are simply noise wearing urgency. However when your inbox begins piling up and the NOC cellphone received’t cease ringing, the way you triage makes all of the distinction between a hearth being put out and the entire place burning down.

Triage, on the planet of community operations, is a bit like being an ER physician in your infrastructure. You’ve obtained to determine what’s actually crucial, what can wait and what was by no means an issue to start with. The hot button is to remain calm, ask the suitable questions and belief your instincts and instruments.

1. Assess the Affect

When a ticket is available in, step one is all the time the identical: assess the influence. Is that this subject affecting one consumer, a crew, a website or the entire community? Don’t dive into configs or logs instantly. First, get context. Is that this a recurring subject? Has something modified, reminiscent of latest upgrades, swap replacements, cable pulls or climate? Is the issue affecting income or customer-facing methods? Understanding how many individuals or methods are affected helps you determine what to sort out first.

2. Isolate

As soon as you’ve got obtained a way of scope, the following transfer is to isolate. Lots of triage is solely a technique of elimination. Is it the gadget, the port or the uplink? Is it inside or exterior? Begin tracing the issue, hop by hop, and test for frequent culprits — misconfigured digital LANs, duplex mismatches, expired Dynamic Host Configuration Protocol leases or somebody plugging a printer right into a trunk port. Preserve notes and doc each take a look at and assumption you rule out. That means, if you must escalate, the following particular person has a clear path to observe.

Associated:Resilience Begins with Optimized Community Efficiency

3. Search for Patterns

Prioritization is not nearly influence, it is also about patterns. For instance, if three tickets are available in from totally different departments, all reporting sluggish web, your radar ought to go off. One consumer complaining is annoying. Three customers complaining the identical means is a transparent sign that one thing is clearly and significantly flawed. That is once you shift from particular person triage to sample recognition mode. Pull up your monitoring instruments, test interface stats, assessment logs, and run pings and traceroutes. You are not treating signs. As a substitute, you are on the lookout for the trigger.

4. Talk

Then there’s the gentle ability facet of triage: communication. Half the battle of triaging points is managing expectations. Let individuals know you’ve got seen the difficulty. Give them an ETA, even when it is tough. Replace the ticket. Speak to the consumer; it retains them off your again and exhibits you are up to the mark. Silence makes individuals nervous, and nervous individuals escalate.

Associated:Clients Annoyed with VMware after Broadcom Acquisition

In fact, not all the things is as pressing because it appears. Generally you open a ticket that claims, “NETWORK DOWN,” and uncover it is a single consumer with a foul patch cable. That is a part of the job, too — sorting sign from noise. Triage means being detective and realizing when to belief your intestine. Expertise teaches you to know the distinction between an actual outage and somebody having a foul Monday.

By the top of a shift, your psychological whiteboard is full, stuffed with pressing fixes, pending escalations and peculiar one-offs to analysis later. You won’t have solved all the things, however you saved the chaos from spreading. That is the objective. Triage is not glamorous, but it surely’s the glue that holds a steady community collectively.

Ultimately, it is about staying level-headed when issues get loud — realizing what to repair now, what to look at and what can wait. And above all, it is about preserving your cool when the stress’s on, as a result of for those who lose your calm, so does the community.



AI in Buyer Service: Buyer Assist in 2025


In accordance with a examine by the Federal Reserve Financial institution of St. Louis, workers who use AI turn into on common 33% extra productive for every hour of labor than those that don’t use it. The impact is particularly noticeable in areas the place velocity of communication is vital, akin to customer support.

On this article, we are going to inform you what AI in customer support will turn into by 2025, what actual advantages it can carry to corporations, and why it’s getting used not solely by expertise giants but in addition by small companies.

What’s AI in Buyer Service?

Have you ever ever written to assist and waited hours for a response — or by no means acquired one in any respect? Now think about your buyer getting assist in seconds, proper in messenger, with no calls, no kinds, and no annoyance.

That’s how synthetic intelligence works in customer support. A sensible chatbot understands the essence of the difficulty, instantly affords an answer, and is aware of precisely when to attach with a stay service agent.

Advantages of Utilizing AI for Buyer Service

Assist that works with out fatigue, responds immediately, and remembers what the shopper contacted final time — seems like the best? That’s precisely how AI options may help in customer support.

First, AI is all the time on name. Whereas workers are resting, the AI continues to take requests, immediate options, and have interaction in dialog — shortly, clearly, and uncluttered. It may perceive context and even conversational AI components like tone and urgency.

Second, it removes the routine from the crew. The bot can clear up easy buyer queries by itself and go extra complicated ones to a human however already with the mandatory data, with out pointless correspondence. This empowers the customer support crew to concentrate on significant interactions and enhances the general assist expertise.

The third factor is velocity. No ready in queues, automated sorting of requests, prompt solutions. The shopper doesn’t wait however will get assist whereas they’re nonetheless within the temper to resolve the difficulty.

And what’s particularly nice is that the AI is ready to adapt to the shopper. It may take into consideration the historical past of communication, pursuits, tone, and elegance in order that the solutions are usually not simply correct, however acceptable and humane.

It additionally helps to enhance buyer relationships and repair high quality and even allows groups to assist clients extra successfully by way of data-driven insights. And naturally, if your organization is rising, AI is well scalable. One bot can deal with what used to take a whole crew to do. No places of work, no holidays, no extra time.

AI in Buyer Service: Buyer Assist in 2025

Key AI Applied sciences for Buyer Assist Service

AI in buyer assist isn’t just one software however a complete set of applied sciences, every of which solves a special drawback. Collectively, they make service sooner, extra correct, and extra handy for each the shopper and the crew.

Chatbots that Perceive What You Imply

This isn’t about buttons “1 — test steadiness, 2 — contact an operator”. Fashionable bots can perceive stay speech — with feelings, errors, and incomplete phrases. Write “My fee just isn’t working”, and the bot will make clear what’s flawed and attempt to resolve buyer issues with out placing them into templates.

Generative AI That Responds Like a Human

Fashions akin to ChatGPT generate a response not from a pre-defined record however proper for the time being of the request, considering the context, the shopper’s communication type, and even their temper. Assist turns into not simply purposeful however actually human.

Clever Routing

The shopper doesn’t have to select from 10 menu gadgets. AI itself understands what’s being mentioned and directs the request to the place it is going to be resolved quickest. This protects time for each the shopper and your buyer assist crew.

Temper Evaluation

AI may also detect when a buyer is irritated, annoyed, or happy — and helps them react in time. This strategy reduces conflicts and will increase loyalty.

Voice Applied sciences

When a buyer calls, the AI acknowledges speech, interprets it into textual content, and may even assist the operator: by prompting solutions, looking for related data, and recording the dialog. All of this occurs in real-time.

Suggestion Techniques

Whereas the shopper continues to be formulating their query, the AI already comes with a ready-made resolution. It analyzes how folks in related conditions have solved the issue and suggests what is going to work.

AI can present real-time solutions and assist throughout channels, guaranteeing clients really feel heard and helped instantly — even earlier than speaking to a human. If wanted, AI assist can information brokers with knowledge-based options.

AI-Powered Buyer Service in 2025

In 2025, synthetic intelligence (AI) is basically altering the face of customer support, reworking it from a conventional assist channel to a strategic software for bettering productiveness and higher buyer satisfaction.

In accordance with Stanford College’s AI Index Report 2024, funding in generative AI has actually exploded — it has grown virtually eightfold over the yr to achieve $25.2 billion. On the similar time, a number of main research verify that AI helps folks to work sooner and higher, and in addition helps to slender the hole between skilled and novice specialists.

This knowledge exhibits that AI is turning into an integral a part of customer support, enabling corporations to deal with buyer inquiries sooner and extra effectively, cut back operational prices by automating routine duties, and improve buyer satisfaction by way of customized and well timed service.

AI in Customer Service

The best way to Implement AI in Buyer Service: A Step-by-Step Information

AI is a strong software, however for it to start out delivering worth, it’s vital to implement it correctly. Beneath is a transparent plan of motion that can allow you to combine synthetic intelligence into your assist crew with out chaos or waste.

Determine the Duties Price Automating

Begin by analyzing: which assist requests are probably the most frequent? The place do operators waste time? These will be commonplace questions on transport, returns, registration, order standing, and so on. It is smart to automate them within the first place.

Select the Proper AI Buyer Service Options

There are a lot of choices: from easy chatbots to superior generative fashions like ChatGPT. The selection is dependent upon your objectives. Want quick filtering of requests? Sensible routing is the fitting alternative. Wish to substitute among the operators? Take a look at NLP bots that perceive the shopper’s language.

Put together Knowledge for Coaching

The extra precisely the AI understands your clients, the higher it really works. Use an archive of correspondence, frequent questions, and typical situations — all this may assist “practice” the system to provide related solutions and assist AI higher perceive buyer wants.

Combine AI with Your Assist Channels

Join AI to these channels the place you have already got site visitors: web site, Telegram, WhatsApp, cell app, e-mail. It’s vital for the shopper to have the ability to go wherever she or he feels comfy, and the AI will deal with all the things internally.

Take a look at and Monitor the Efficiency

Launch a pilot model and monitor: what number of requests are processed with out human intervention, how a lot load is lowered, and the way clients react. Accumulate suggestions and regulate situations.

Enhance the Use of AI Progressively

When AI copes with primary duties, you possibly can transfer on to extra difficult ones: analyzing buyer sentiment, automated technology of experiences, forecasting bounce charges, and so on. The principle factor is to scale the answer step-by-step, with out overloading the system.

Challenges and Dangers of Implementing AI in Buyer Service Operations

Implementing AI in customer support is a step with critical expectations: automation, financial savings, and effectivity good points. However in follow, corporations face quite a few challenges that can’t be ignored.

AI in Customer Service?

First, loads is dependent upon the standard of the educated mannequin. With out good knowledge — historical past of requests, typical buyer requests, details about buyer points — even probably the most superior AI programs won’t give the specified end result.

With out good knowledge, AI options don’t acknowledge buyer interplay appropriately, give formal solutions, and create a sense that the shopper is dealing with not intelligence however an answering machine. This immediately impacts the shopper expertise.

Secondly, the function of human brokers can’t be fully dominated out. People are nonetheless wanted, particularly in complicated, emotional, or non-standard conditions. AI chatbots must be assistants, not replacements. The perfect state of affairs is when AI helps brokers by offering them with the mandatory data and lowering routine.

Technical dangers additionally exist. To have the ability to leverage AI, one should concentrate on how AI aligns with present customer support actions. Legacy platforms or a scarcity of APIs can decelerate the combination course of. This fashion, groups should fastidiously choose the fitting AI software and implement it correctly.

We must always not neglect about safety. AI processes delicate buyer knowledge and a breach of privateness can harm reputations. All the pieces should work by the ebook, from safety to transparency about how AI is utilized in customer support.

Conclusion: Implementing AI-powered Buyer Service

AI may help remodel customer support — making it sooner, smarter, and scalable. However provided that the enterprise approaches implementation not as putting in a “magic button,” however as a undertaking with a transparent technique.

It is very important outline objectives prematurely, practice the system on precise knowledge, check, and make it possible for customer support expertise doesn’t deteriorate however improves.

At SCAND, we assist corporations use AI in a wise and sensible approach. As a substitute of simply including new instruments, we be sure that AI suits the corporate’s objectives and works nicely with what’s already in place. We concentrate on bettering customer support with out shedding the human contact. With our assist, AI turns into an actual profit — not only a buzzword, however a strategy to make assist sooner and higher.

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!

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