Recent report published by research nester titled “Vibration Sensor Market: Global Historical Growth (2017-2024) & Future Outlook (2017-2024) Demand Analysis & Opportunity Evaluation” delivers detailed overview of the vibration sensor market in terms of market segmentation by product type, by equipment, by material, by application and by region.
Further, for the in-depth analysis, the report encompasses the industry growth drivers, restraints, supply and demand risk, market attractiveness, BPS analysis and Porter’s five force model.
The vibration sensor market has been segmented by product type into accelerometers, electrodynamics velocity transducer and non-contact displacement transducer. Among these segments, the accelerometers vibration sensor segment is expected to dominate the overall vibration sensor market during the forecast period.
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The global market for vibration sensor is anticipated to flourish at a compound annual growth rate of 11.2% during the period 2017-2024. Factors such as the growing use of wireless vibration sensors for vibration monitoring in order to reduce the cost of equipment downtime are making headway for the growth of the global vibration sensor market.
Moreover, high demand for vibration sensor systems worldwide by the countries is anticipated to positively boom the global Vibration Sensor Market by noteworthy revenue by the end of 2024.
In the regional segment, North America is projected to dominate the overall market of vibration sensor during the forecast period. This can be attributed to high usage of vibration sensors in airline industry to reduce the turbulence. Moreover, the advancement in the vibration sensor is growing with respect to its size, load capacity and frequency range.
These factors are envisioned to fuel the growth of the North America vibration sensor market. Further, Europe is poised to record fastest growth rate during the forecast period owing to factors such as self-generating capability and wide range of frequency. Additionally, use of vibrations sensors along with piezoelectric accelerometers is estimated to drive the growth of Asia Pacific vibration sensor market at a considerable rate.
Growing Demand for Security Features
Growing safety & aid features offered by the usage of vibration sensor has increased the protection over machines. This factor is anticipated to supplement the growth of the global vibration sensor market. Further, increase in monitoring and safety features across the globe is anticipated to intensify the growth of the global vibration sensor market. In addition, high accuracy of measurement through these sensors is anticipated to positively drive the growth of the global vibration sensor market.
However, the availability of other vibration measuring devices might deter the growth of vibration sensor market in coming years.
This report also provides the existing competitive scenario of some of the key players of the vibration sensor market which includes company profiling of ASC GmbH, Dytran Instruments Inc., TE Connectivity Ltd., Honeywell International Inc., FUTEK Advanced Sensor Technology Inc., National Instruments Corporation, Colibrys Ltd., Hansford Sensors Ltd. and Robert Bosch GmbH.
The Final Report will cover the impact analysis of COVID-19 on this industry @ https://www.researchnester.com/sample-request-603
The profiling enfolds key information of the companies which encompasses business overview, products and services, key financials and recent news and developments. On the whole, the report depicts detailed overview of the vibration sensor market that will help industry consultants, equipment manufacturers, existing players searching for expansion opportunities, new players searching possibilities and other stakeholders to align their market centric strategies according to the ongoing and expected trends in the future.
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Introduction

Data science trends in 2023
Data Science Trends for 2023 are set to shape the future of data-driven decision-making. Thanks to the rapid progress of Data Science and AI, organisations may use cutting-edge technology and processes to derive useful insights from huge data sets. These themes cover a wide range of innovations, such as AI-driven analytics, automated machine learning projects, augmented reality in data visualisation, improvements in natural language processing, and federated learning for improved privacy and cooperation.
Organisations can remain ahead of the curve and use the power of data science to drive innovation, improve operations, and gain a competitive edge by comprehending and embracing these trends. As these changes transform our use of data in 2023 and beyond, data professionals must stay current and adapt to them.

Data Science Trends for 2023

Artificial Intelligence

Data science will undergo a revolution in 2023 due to AI, opening up new possibilities. AI algorithms and approaches allow robots to mimic human intellect, allowing them to carry out complex operations and make independent judgements. There are several advantages to this combination of AI and data science.
First, the pattern recognition skills of AI algorithms allow for discovering intricate links and patterns within enormous datasets that may be difficult for humans to notice. Second, as AI systems learn from previous data and produce trustworthy projections for future events, predictive modelling gets more accurate and precise. Additionally, AI-assisted automation of analytical procedures minimises human labour and accelerates data-driven insights, boosting productivity and efficiency.
A better comprehension of data and the ability to make wise judgements that promote development and success are made possible by the synergy between AI and data science. Data science in 2023 promises to open up new vistas in knowledge discovery and problem-solving, with AI at its core.

Machine Learning

The data science landscape and the Data Science Trends for 2023 are expected to be dominated by machine learning (ML), a subset of artificial intelligence (AI). Systems may learn from data and increase performance without explicit programming thanks to machine learning (ML) methods. By 2023, ML will be a fundamental component of Data Science thanks to its revolutionary impact on various Data Science applications, including fraud detection, predictive analytics, and recommendation systems.
Data science in 2023 will continue to advance due to developments in machine learning algorithms, deep learning architectures, and neural networks that will open up new opportunities for extracting knowledge from large-scale datasets. The constant advancement of ML approaches will encourage the creation of cutting-edge methods for handling data issues and enabling more precise forecasts and insights. In this data-driven era, organisations rely on ML-driven models to find important information, acquire a competitive edge, and make wise decisions.
The growing use and deployment of ML methods will characterise Data Science Trends in 2023. As ML algorithms advance, businesses and sectors will see ground-breaking improvements in data analysis, pattern identification, and predictive modelling. By 2023, data science will have revolutionised how businesses operate and generate value from their data assets by utilising ML developments to unleash the full potential of data and create disruptive transformations across industries.

Augmented Reality

In 2023, Augmented Reality (AR) will become a game-changing technology in data science trends. By fusing the physical and digital worlds, augmented reality (AR) improves data scientists' view of and engagement with their surroundings, revolutionising data science in 2023. Augmented reality (AR), which offers immersive and interactive experiences, might transform data visualisation and analysis.
Its applications also include collaborative analytics, data exploration, and visualisation, allowing users to make data-driven choices more naturally and interestingly.
Data scientists may seamlessly integrate data into the actual world by using AR to overlay data points, charts, and graphs onto the real-world environment. Data scientists have a strong tool at their disposal in the form of augmented reality (AR), according to the trends in data science in 2023, which paves the way for novel data analysis and decision-making methods.

Natural Language Processing (NLP)

According to data science trends, Natural Language Processing (NLP) will play a significant part in defining data science in 2023. NLP aims to make it possible for computers to comprehend, translate, and create natural language, revolutionising how we interact with textual data. In 2023, the area of NLP will continue to advance thanks to developments in chatbot creation, sentiment analysis, and language translation.
NLP techniques like text mining, sentiment analysis, and named entity identification will be essential to gain useful insights from unstructured data sources like social media, customer reviews, and text documents. Organisations may extract valuable information from these enormous textual resources using NLP in Data Science, allowing data-driven decision-making and competitive advantage in 2023.
Improved natural language processing promotes innovation. A shift in how organisations extract knowledge from the textual domain in Data Science will result from the continuous development of NLP approaches and algorithms.

Federated Learning

Federated Learning stands out in the landscape of Data Science Trends as a disruptive strategy tackling data privacy and security issues in Data Science in 2023. Federated learning enables models to be trained locally on distant data sources. It is becoming more popular as businesses seek ways to collaborate and get insights without jeopardising sensitive data.
Federated learning under this decentralised paradigm assures privacy compliance while utilising the combined wisdom of several datasets to produce improved models and more precise predictions. Federated learning will revolutionise data science in 2023 thanks to its capacity to protect data privacy and promote collaborative research.
Organisations can use dispersed data's potential without the requirement for centralised data transmission or storage, promoting innovation and advancing the industry. Federated learning offers a privacy-preserving method for releasing the full potential of dispersed data resources in 2023 and beyond, and it is a critical enabler in the changing landscape of data science trends.

Importance of Data Science in 2023

Data science trends are crucial for businesses using data-driven decision-making to achieve a competitive advantage. Utilising the main Data Science Trends of AI, ML, AR, NLP, and federated learning will be essential for gaining insightful information, streamlining procedures, and fostering creativity across sectors. You can hone your skills and knowledge by taking online certification courses. Data scientists, who will be at the forefront of data science in 2023, will be essential in converting raw data into information organisations can use to stay adaptable and make wise strategic decisions.

• Competitive Edge: By utilising the potential of AI, ML, AR, NLP, and federated learning, Data Science Trends give businesses a competitive edge. Businesses may extract priceless insights, spot patterns, and make data-driven choices that provide them with a major competitive edge in 2023 by adopting these cutting-edge technologies in data science.
• Actionable Insights: Data scientists, who will play a major role in data science in 2023, are skilled at sifting through large databases for significant patterns, trends, and correlations. They give businesses useful insights through data analysis and interpretation that help them make strategic decisions, streamline procedures, and expand their operations.
• Agility and Adaptability: Organisations need to be flexible and adaptive in the Data Science Trends landscape 2023, given its fast evolution. Thanks to data science, businesses can analyse real-time data, spot new patterns, and react quickly to shifting market conditions. Organisations can make data-driven choices because of their agility, which keeps them one step ahead of the competition and in line with their strategic objectives.
• Enhanced Customer Experience: Organisations may thoroughly grasp client preferences, behaviour, and demands thanks to data science trends. Businesses may personalise experiences, conduct targeted marketing efforts, and increase overall customer happiness by using consumer data with AI, ML, NLP, and AR. This improved customer experience encourages retention, growth, and customer loyalty.
• Innovation and Optimization: By revealing hidden patterns and insights that result in ground-breaking solutions, 2023's data science trends will help to drive innovation. Organisations may stimulate innovation, maximise profitability, and maintain their competitive edge in a data-driven world by optimising processes, enhancing efficiency, and spotting possibilities for cost reductions.

As businesses strive to use the potential of AI, ML, AR, NLP, and federated learning for competitive advantage, actionable insights, agility, improved customer experiences, and innovation, data science is of utmost significance. Businesses that want to succeed in the data-driven world in 2023 must embrace data science not merely out of necessity but also out of strategic necessity.

How Can You Make A Career in Data Science in 2023?

There are various crucial things to consider in 2023 for people who want to work in the data science area. First and foremost, it's crucial to build a solid foundation in arithmetic, statistics, and programming languages like Python and R. Your knowledge and abilities can also be improved by enrolling in appropriate educational programmes, online courses, and certifications. Learnbay’s data science course will help you stand out among the rest. It focuses on domain specialisation.
Participation in data science contests and practical experience with real-world data projects may improve your portfolio. Finally, ensuring your abilities are current and in demand requires continuously studying new trends, technologies, and procedures.

The Bottom Line

The data science environment is being formed as we set off on the trip of 2023 with important developments, including AI, ML, AR, NLP, and federated learning. These developments are pushing the limits of what is feasible in data analysis and decision-making, fueling ground-breaking innovations. For businesses and data, professionals who want to fully utilise data science in the years to come, embracing and comprehending these trends is essential.
Businesses may gain a competitive edge, stimulate innovation, and make wise decisions based on data-driven insights by keeping up with the newest advancements and adopting these disruptive technologies into their plans. The capacity to adapt and take advantage of these trends will be a crucial difference in this quickly expanding area. It will help practitioners succeed and realise the full potential of data science in the dynamic and data-centric era of 2023 and beyond.

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Introduction

The rapid advancements in artificial intelligence (AI) have sparked numerous discussions and debates about its potential impact on various industries, particularly the IT industry. With AI's ability to automate tasks, process data at incredible speeds, and make intelligent decisions, many wonder if it will eventually replace humans in the IT sector. This topic has garnered significant attention as professionals and experts analyze the potential consequences and opportunities that AI brings to the industry.

Will AI Replace Humans in the IT Industry?

The question of whether AI will replace humans in the IT industry is a subject of ongoing debate and speculation. While AI has made significant advancements in recent years, it is important to consider the following points:

1. Automation of routine tasks: AI has proven to be highly effective in automating repetitive and mundane tasks in the IT industry. Tasks such as data entry, basic software testing, and system monitoring can be efficiently handled by AI systems. This automation can free human professionals to focus on more complex and creative work.
   
2. Augmentation of human capabilities: Rather than replacing humans, AI has the potential to augment human capabilities in the IT industry. AI technologies can assist professionals in analyzing large datasets, identifying patterns, and making data-driven decisions. This collaboration between humans and AI can enhance productivity and lead to more efficient and innovative solutions.
   
3. Complex decision-making and creativity: While AI algorithms excel in processing vast amounts of data and making predictions, they often lack the ability to understand context, exercise judgment, and think creatively. Human professionals bring critical thinking, problem-solving skills, and domain expertise to the table, which are crucial for complex decision-making and handling unique or novel situations.
   
4. Ethical considerations and social impact: The adoption of AI in the IT industry raises important ethical considerations. AI systems are only as good as the data they are trained on, and biases or limitations in the training data can lead to biased or flawed outcomes. Human oversight and intervention are necessary to ensure fairness, transparency, and accountability in AI systems.
   
5. New job opportunities: While some routine IT jobs may be automated, the rise of AI is also expected to create new job opportunities. As AI technology evolves, new roles such as AI trainers, data scientists, and AI ethicists are emerging. Human professionals will continue to play a vital role in developing, maintaining, and improving AI systems.
   

In summary, while AI has the potential to automate certain tasks in the IT industry, it is unlikely to replace humans entirely. The collaboration between humans and AI is more likely to lead to a symbiotic relationship where AI enhances human capabilities, allowing professionals to focus on higher-value tasks that require creativity, critical thinking, and complex decision-making.

Jobs that will be Impacted the Most Due to AI

The advent of AI technology has the potential to impact various job sectors in different ways. While it is difficult to predict the exact extent and timeline of these impacts, here are some job sectors that could be significantly affected by AI:

1. Manufacturing and Production: AI-powered automation and robotics can streamline production processes, leading to potential job displacements in repetitive and manual labor roles. Jobs involved in assembly lines, packaging, and quality control may see changes as AI systems take over certain tasks.
   
2. Transportation and Logistics: The rise of autonomous vehicles and AI-powered logistics systems could impact jobs in the transportation sector. Roles such as truck drivers, delivery personnel, and warehouse workers may face changes or potential displacement as self-driving vehicles and automated logistics systems become more prevalent.
   
3. Customer Service and Support: AI-powered chatbots and virtual assistants are increasingly being employed to handle customer inquiries and support requests. While this can enhance efficiency and scalability, it may reduce the need for some customer service representatives. However, human involvement and personalized customer interactions will still be crucial for complex or sensitive issues.
   
4. Data Entry and Analysis: AI technologies excel at processing and analyzing large volumes of data. Jobs involving manual data entry, data analysis, and reporting could be affected as AI algorithms automate these tasks. However, human professionals will still be needed to interpret and contextualize the results, ensure data quality, and make strategic decisions based on the insights provided by AI systems.
   
5. Healthcare and Diagnostics: AI has shown great promise in areas like medical imaging analysis, disease diagnosis, and drug discovery. While AI can enhance accuracy and efficiency in these fields, it may impact certain roles within healthcare, such as radiologists or pathology technicians. However, human expertise and judgment will continue to be essential for complex diagnoses, patient care, and treatment decisions.
   
6. Finance and Accounting: AI algorithms can automate tasks like transaction processing, fraud detection, and financial analysis. Jobs involved in manual data entry, routine bookkeeping, and some analytical roles may face changes. However, finance professionals will still play critical roles in strategic financial planning, risk management, and regulatory compliance.
   

It is important to note that while certain jobs may be impacted or transformed by AI, new job opportunities are also likely to emerge. As AI technology advances, it can create a demand for roles such as AI trainers, data scientists, AI ethicists, and professionals specializing in AI system oversight and governance.
Overall, the impact of AI on jobs will vary across industries and job sectors. It is crucial for individuals to adapt and acquire new skills that complement AI technology to remain competitive in the evolving job market.

Which AI Companies will be Around in 2023?

The top 10 Artificial Intelligence companies are:
1. OPENAI
OpenAI is a renowned and influential AI research organization known for its contributions to the field of artificial intelligence. They have developed advanced language models such as GPT-3 (Generative Pre-trained Transformer 3), which has demonstrated impressive capabilities in natural language processing and text generation. OpenAI aims to ensure that artificial general intelligence (AGI) benefits all of humanity and promotes responsible and ethical AI development.
2. DeepMind
DeepMind, a subsidiary of Alphabet Inc. (Google's parent company), has been at the forefront of AI research and innovation. They are known for developing AlphaGo, an AI system that defeated world champion Go players, showcasing the potential of AI in complex games. DeepMind focuses on developing AI systems that can tackle real-world challenges, such as healthcare, energy efficiency, and scientific research, by combining deep learning, reinforcement learning, and other techniques.
3. Builder.AI
Builder.AI is an AI-powered platform that enables the rapid development and deployment of customized software applications. Their platform uses AI algorithms to automate the coding process, allowing businesses and developers to build software applications with minimal coding expertise. Builder.AI's approach empowers organizations to accelerate software development, reduce costs, and bring their ideas to market more quickly.
4. Abnormal Security
Abnormal Security is an AI-based cybersecurity company that specializes in protecting organizations from email attacks and social engineering threats. Their platform leverages machine learning algorithms to analyze email communication patterns, detect anomalies, and identify malicious activities. Abnormal Security's AI-powered solution enhances email security and helps organizations proactively defend against evolving cyber threats.
5. Speechmatics
Speechmatics is an innovative company focused on automatic speech recognition (ASR) technology. They have developed advanced AI models and algorithms that can convert spoken language into written text accurately and in real-time. Their ASR technology finds applications in various industries, including transcription services, voice assistants, call centers, and media and entertainment, enabling improved accessibility and enhanced user experiences.

1. Unlearn

Unlearn is a pioneering AI company that specializes in clinical trial simulations using AI and machine learning techniques. Their platform generates synthetic control arms, which serve as virtual counterparts to real-world control groups in clinical trials. By leveraging AI to simulate control groups, Unlearn enables the evaluation of new treatments against historical data, improving the efficiency and accuracy of clinical trials.
7. PANO AI
PANO AI develops AI-powered software solutions for the construction industry. Their platform utilizes computer vision and deep learning techniques to automate the analysis of construction site images, monitoring progress, detecting anomalies, and ensuring compliance with safety standards. PANO AI's innovative approach helps construction companies streamline operations, reduce costs, and enhance project management efficiency.
8. SIGNIFYD
Signifyd is an innovative company that utilizes AI technology to deliver advanced fraud protection solutions for e-commerce businesses. By harnessing the power of machine learning and predictive analytics, Signifyd enables merchants to identify and mitigate fraud in real-time, reducing false positives and automating manual review efforts. Their commitment to innovation and the application of AI has positioned them as a leading player in the industry, helping businesses safeguard their operations and enhance customer trust.
9. NVIDIA
NVIDIA is a technology company known for its advancements in graphics processing units (GPUs) and their applications in AI and deep learning. Their GPUs are widely used in AI training and inference, enabling high-performance computing for complex AI algorithms. NVIDIA also develops software frameworks, such as CUDA and cuDNN, that facilitate AI development and optimization on their hardware platforms.
10.VOXEL
Voxel is an AI company specializing in computer vision and augmented reality (AR) technologies. They develop AI-powered solutions that enable real-time object recognition, tracking, and interaction in AR environments. Voxel's innovative applications find use cases in areas such as retail, advertising, gaming, and industrial training, providing immersive and interactive experiences.
These companies mentioned above are recognized for their innovative approaches in applying AI technologies across various domains, pushing the boundaries of what is possible and contributing to the advancement of the AI industry as a whole.

Conclusion

The IT industry is on the brink of significant transformations driven by artificial intelligence (AI). AI has the potential to revolutionize multiple aspects of the industry through its ability to automate tasks and process large amounts of data efficiently. This automation enables human professionals to focus on higher-value activities that require creativity and critical thinking, fostering innovation and boosting operational performance. While AI excels in specific domains, human expertise remains essential, particularly in complex problem-solving and human interaction. The integration of AI will create new job opportunities, requiring professionals with expertise in machine learning, data science, and AI ethics. Responsible development and regulation of AI are crucial for addressing ethical considerations and ensuring fairness and transparency. The successful integration of AI in the IT industry hinges on a collaborative approach, with AI augmenting human capabilities to drive innovation and shape the industry's future while preserving the unique skills humans bring to the table.

PolyU
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Cityu
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City
Major elective: 7
Free elective: 6
Poly
Technical elective: 4
Car elective: 4
I currently have two offers from these two programs; which would you choose, if you were me?

(WARNING, This pitch is also a soggy attempt at telling a story, try and understand at your own risk-)
"hmm..hmm, hm hmm.. try to see it my wa-'
"Ebir.. what are you doing? The human asked the warforged driver, who only shrugged as a response. the humming continued to the indifference of the human. The two were from LVA, a regional military arms company which had had found itself in another competition for _____________. Somehow, someway, the two impromptu engineers had found themselves driving the prototype 'M1' Recon Vehicle to the assessing grounds. This would be all fine and dandy if the train that was supposed to drop them 20 kilometers from the base, had broken down 200 kilometers away. Both Chet and Ebir were going just wait for the train to get fixed, but 'Carl' convinced (or rather, forced) them to drive the rest of the way. 'It would show the officers how reliable i- i mean the tank is' he said.
although phrased like one, he didn't mean it as a question he DID run the tank. And while he couldn't stop them from just waiting, he had a way with words (yelling through the intercom).
It took the trio a few hours, a few canisters of fuel, a track repair or two, but finally they could see a paved road leading to the grounds.
"Seriously, whats up?" Chet tried reiterating, ducking down into the hull of the tank to give Ebir a look. "A song I've been thinking up since the drive." "A song?" Chet seemed surprised, waiting for him to continue. Ebir tried keep his eyes on the road, but couldn't help but turn his head to meet the humans gaze, "Yeah, don't know what I'm calling it just yet.. why do you look so spooked?" He raised an eyebrow. Chet shook his head, "No no, just uh.. never took you for a bard, hah."
"Well I've always liked music, no offense to the company but being a artificer engineer was supposed to be a temporary thing." The warforged sighed, letting his knee control the steering wheel to gesture with his hands. "I wanted to travel the world, y'know? see things, sing songs to audiences. Turns out that costs money and wasn't exactly stable.. So I did the next best thing, fast forward a few years and now-" He unceremoniously knocked on the metal, "I find myself in a prototype tin box, driving to who knows where, all while there's a war going on. Just tried of all of it." Chet frowned before nodding, he was about to say something before the engine spoke.
"Im sure when this is all over you'll be able to become a musician, Ebir!"
That made both of the men hit their heads in surprise. Ebir was fine, Chet not so much. "For the love of all things holy- Warn me when you chime in randomly and without warning.." Chet rubbed his head.
"Kinda Oxymoronic"
"Yeah yeah.. so what's up now? you blow a piston or something-" Chet picked up the receiver to his left, pressing the button next to the console. Carl took a minute to respond
"No, nothing like that. Ren just wanted to tell you the left track is looking a bit loose"
"Oh, well alrigh- wait whos Ren?"
"The Moth!.. hey, you there? Chet?"
".." Ebir stared at the utterly gobsmacked man behind him, "You uh.. you alright man?" Chet didn't say anything.
"Chet? Cheeeet, did the phone break? Chet!" The engines words fell on deaf ears as Chet muted the phone. When he finally turned to Ebir he simply said. "Its sentient..."
"what's sentient?" "The Mo-"
"SHIT-"

CRASH-

The tank barreled through the gates of the proving ground entrence gate before Ebir could step on the breaks in time. The breaks screeched as they slid for a 40 or so feet, finally coming to a stop directly infront of a well dressed Tabaxi.
There was a tense few seconds where Ebir and the Tabaxi stared at each other silently, both equally shook.
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"Are we here? i cant see past the vent slits-"
-------Uh.. Pitch here?-------
The Tabaxi was the first to speak, coughing uncomfortably before putting up a smile.
"uh. Hello there! you must be the...LVA folks!" He concluded. His fur was tinged a slight lilac color, while his eyes were a deep magenta. Chet was the first to reply, opening the commanders top hatch awkwardly.
"Uh- y-yeah! that's us alright, sorry about the.. gate." "Oh, dont worry about that, its just some wooden stick that a gnome gets paid to lift up and down with a button" One of the gnomes frowned at the comment.
"anyways, im more interested in how the hell you stopped while going so fast! one foot more and i would have broken something" The Tabaxi chuckled, although Chet could sense a hidden threat laced in his words. it was around this time that Ebir opened the drivers hatch, sticking his head out, "The Merzals outfitted with some pretty strong breaks, wouldn't want someone getting run over- uh, nevermind that, moving on-" The snow leopard laughed in a similar manner to before, waving his paw dismissively. "No no its fine, all in good spirit. Anyways, while i would love to keep talking, this is still a proving grounds. it'll also give us a excuse to fix that gate later" He whispered to Ebir, casting a side glance to the shatter checkpoint gate.
"Right, just give us a second to tighten everything up, it was a bumpy journey." "No worries, although i was told you'd arrive on rail for the most part, did something become loose on the way?" It was the humans turn to answer, "The train broke down one, maybe two hundred kilometers away, we would have waited but the engine insisted." Chet rolled his eyes as if it were a normal occurrence.
"Thats quite impressive, we can talk more after i see this thing in action" The officer concluded, turning on his heel before walking towards the actual testing grounds, alright?"
"Oh, and before i forget, its Nabe, Nabe Sonatra"
------ACTUAL-Pitch-here-------
Despite turning away from the tank, the officer waited for the tank crew to tighten the treads of the vehicle, walking next to it while it drove to the platform.
His optimistic expression soured as he inspected the side, running a paw over the rivet heads and tugging at the spare track links. he made sure not to get his tail run over as he slowed down to the reaside near the engine.
Why couldn't he hear it running? the tank was moving, and when he leaned in closer he could clearly hear gears moving and exhaust spewing out of the exhaust pipe. Nabe made sure to make a mental note of the oddity.
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One the tank parked itself in on the metal platform that marked the entrance to the course, the two engineers got out and leaned on the right fender of the tank. Nabe still wore that weary look as he waited for their pitch. Ebir started,
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"Right, so what you see here is the Merzal 'M-1' Recon Vehicle. It weighs just under 9 tons, has frontal protection around 60 to 84 millimeters of rivetted armour as you can clearly see"
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"We also have a welded and bolted turret face option-"
"Why rivets." The officers hand was now scratching his chin, "Not to be rude, but the bureau's been getting some very impressive designs gentlemen." He pulled out a pocket sized notebook, flipping through pages as he spoke. "Angled plates, Cast turrets, we've gotten submissions by ship builders. So what makes your.. M-1 stand out?"
"i-"
"Well first off. The rivets are enchanted in bulk to act as bolts when being disassembled if you needed to take them off for any real reason. Welding was a risky choice as the side armour is relatively thin, and seeing that these are going to be exported en mass, LVA wanted to keep things simple and cheap" Carl started talking, nobody interrupted.
"They're significantly stronger than normal rivets, but just as simple when installing them, they create their own drilled hole when pressed into the metal during installation. And if hit with enough force, and i mean A LOT of force, they will pop off in the opposite direction of the force acting on it. The armour will fail before the armour. This all sums up to a tank that any train builder or crew member in the field worth their weight in salt can build and repair armour wise, no heavy Oxy torch needed."
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"..Well, go on." Nabe was completely engulfed in the engines ramblings, along with the two engineers.
"Oh, sure! ill just pick up where Ebir left off, \ahem*: Being powered by me(Dorn V10), the Merzal will reach speeds of around 45 miles per hour on road, and 25 to 30 cross country depending on how bumpy it is."*
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"You'll be able to almost shear 90. slopes, but id advise you to only go as steep as 60 or 70. The M-1 can also comfortably go up a 40+ degree slope in reverse. The Dorn engine is easily accessible for repairs as well."
"Did you teach him this?-"
"Armament consists of the 38mm VM2 with 96 rounds in the hull, a coaxial and hull mounted 8mm Samiel machine gun, and a 14mm Samiel Machine gun mounted in a AA mount."
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"Vision was a area of focus LVA didn't slouch on, i think? anyways- The driver has wide 'FOV' vision port to his or her disposal, while the commander has a 360 rectangular cupola. Depending on the height of the commander, the vision ports can either be slits or episcopes, the former being able to open via a hinge when not buttoned up. That large Periscope box and gunsight have both 'Truesight' and 'Zoom' spells housed in Arcane crystals to aid the commander-"
"Wait, wait wait, slow down there." The officer pleaded, trying to wrap his head around the new information, "Arcane Crystal?"
Ebir spoke up rather quickly, pulling out a assortment of glowing blue and white crystals from a cloth pouch, "Y-Yes, they're a alternative to runes. Runes, need to be etched into a solid material, Arcane Crystals don't. Glass, slag, amber, and gemstones all work; you just need to use a Purify cantrip, or any non necrotic spell to embow it with arcana." Ebir handed a piece of glowing white piece of slag no bigger than his thumb to Nabe, who inspected it with great interest.
"I.. does it hold more arcane energy than a rune? wouldn't this be more fragile?"
"gemstones and clear glass can hold more arcane energy than runes etched in stone or metal, and they are more fragile. That's the point, try smashing it on the ground." Ebir asked. The officer stared at the ground, shrugging before throwing the crystal on the ground.
As soon as the crystal hit the ground, it exploded in a familiar flushing wave. "..Counter spell." Nabe concluded, a small smile forming on his face at the dissipating wave of energy.
"Mhm, Arcane crystals shatter instead of crumbling or snapping; Thus it releases all its energy at once instead of fizzling out. Making them perfect for-" The warforged climbed onto the fender of the Merzal, pointing at the 5 launcher barrels affixed to the sides of the tank.
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"Launcher ammunition. If a spellcaster decides to try and launch Fireball, the commander can depress a button to launch arcane crystals with a timed explosive charge, watch-" Ebir scrambled onto the roof of the tank this time, reaching into the commanders hatch and pressing a button. The 4th right barrel shot out a flurry of slag and amber bomblets, exploding in a perception warping wave of 'Counterspell'. Nabe clapped enthusiastically at the explosion.
"And thats the basis for the magic in the Merzal" Chet finally chimed in, opening the cylinder like turret on the front of the tanks armour. It was a launcher, holding space for one large crystal, and multiple others. The large slot already housed a deep purple gemstone, "Detect magic." The officer guessed.
"Its like having a anti magic field, while still being able to use magic. huh."
"Theres a few spots all dotted around the tank, capsules to put arcance crystals in. You can customize the crystals if you have a spellcaster on hand, or just use the factory 'settings'. Normally that means:
-Counterspell/Dispel magic in the turret launchers
-Deafen in engine bay containers,
-Dispel magic and Detect magic in the side hull turret bustles.
-'Smoke' in the rear containers,
-Truesight and 'Zoom' in the periscope
-'Shield in various containers in and on the exterior of the tank.
"But again, any spellcaster can configure the Arcane crystals how they see fit. Arcane crystals just give more customizability compared to using etched runes."
"I.. see, that's.. that's quite interesting.." Nabe concluded.
Chet and Ebir exchanged glances before walking to the rear of the tank. "Back here's a telephone to communicate to the crew from outside the tank, nothing special..."
The two hadn't noticed Nabe trail behind, snatching the shinier, stronger gemstone based arcane crystal from the hull-turret bustle. He speed walked back besides them after stuffing it in his coat pocket.
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Chet was still talking to what he presumed was Nabe by the time the feline had walked back to them.
"You've already heard Carl- I mean, the Dorn engine. I'm surprised there were more models lying around than we first thought, who wouldn't want a talking engine? like- Hey, Carl" *Chet opened the engine deck, exposing the large construct engine. He reached down and blindly untightened a bolt. "What did I just do?"
"You loosened the 6th bolt around my fuel hose" He responded curtly.
"See? Self diagnosing engin-"
"Whats... whats that?"
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(The moth, its the moth guys!!)
"Oh... uh. Thats the LVA Moth mascot." Chet shrugged his shoulders in defeat, clearly having told a similar story about the picture one time too many.
"Oh, wait, i remember now. you guys adopted it as a mascot?-" "Yes. Yes we did, moving on."
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"all you need to do is befriend and train the Dorn engine and you've got yourself a 4th crewmember. And for the record, they can run on low octane fuel, don't listen to the models that say they'll blow up just because a number is below 80. But if push comes to shove you can install a solid 'purify' stone in the fuel tank.
"About that, You'll still be able to use runes and sigils in these containers if need be, yes?" "We've tried them out with Protection sigils, no hiccups."
Sufficiently impressed, Nabe took out the notebook again, jotting down a slew of notes, he occasionally glanced a look at the tank and the engineers. "Simple design, cost effective design, above average mobility, im guessing minimum fuel requirement.. Arcane crystals able to be customized by any spellcaster.. A very universal template Lower valleys made." The two engineers exchanged looks again, "Thats what it called for, its easy to jam a tank with specific spells and what not, but there's always the risk a rune breaks or a sigils scratched off. Arcane crystals are more universally accessible, with field repairs being significantly easier. Everything about the tanks made to be as simple as simple to understand, no matter where they're being shipped." Chet concluded, Nabe put his notebook back snuggly into his coat pocket.
"All very good, but it is getting quite late. We can proceed with actual testing tomorrow, ill just need any other information about the tank now so i can send it to the higher ups." Ebir stepped forward, producing a small set of papers, specifications and a.. Dorn training manual. A quick flip through revealed to Nabe that he was much top mentally exhausted to try and tackle it.
"Well then, i think thats it for the day, you two rest up in the bunks, im sure the trip was exhausting enough. Dinners served at 7:00pm, ill be sure to see you then. I want to hear the full story about that picture!" The mentioning of dinner made Chets stomach growl, "That sounds good, see you then."
And with that, the men went their separate ways.
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SEE ATTACHED FOR EXTRA PHOTOS
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(Middle) Examples of arcane containers/hatches.
Rear most hull piece. Ren is visible
Side hull/'Turret bustle', able to detect and rotate its barrel towards magic threats 40ft in front of itself. Can fire off arcane crystal bomblets
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Tow hooks (upper) and transport hooks (lower). Dozerblade attachment points also visible (4 points)
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"Yeah.. Yeah i got the crystal... ill send the sample in about a week, pretty simple stuff really.. too simple. When i get my hands on their training manual ill send that too."
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