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cdatainsights · 2 months ago

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Empowering Businesses with Advanced Data Engineering Solutions in Toronto – C Data Insights

In a rapidly digitizing world, companies are swimming in data—but only a few truly know how to harness it. At C Data Insights, we bridge that gap by delivering top-tier data engineering solutions in Toronto designed to transform your raw data into actionable insights. From building robust data pipelines to enabling intelligent machine learning applications, we are your trusted partner in the Greater Toronto Area (GTA).

What Is Data Engineering and Why Is It Critical?

Data engineering involves the design, construction, and maintenance of scalable systems for collecting, storing, and analyzing data. In the modern business landscape, it forms the backbone of decision-making, automation, and strategic planning.

Without a solid data infrastructure, businesses struggle with:

Inconsistent or missing data

Delayed analytics reports

Poor data quality impacting AI/ML performance

Increased operational costs

That’s where our data engineering service in GTA helps. We create a seamless flow of clean, usable, and timely data—so you can focus on growth.

Key Features of Our Data Engineering Solutions

As a leading provider of data engineering solutions in Toronto, C Data Insights offers a full suite of services tailored to your business goals:

1. Data Pipeline Development

We build automated, resilient pipelines that efficiently extract, transform, and load (ETL) data from multiple sources—be it APIs, cloud platforms, or on-premise databases.

2. Cloud-Based Architecture

Need scalable infrastructure? We design data systems on AWS, Azure, and Google Cloud, ensuring flexibility, security, and real-time access.

3. Data Warehousing & Lakehouses

Store structured and unstructured data efficiently with modern data warehousing technologies like Snowflake, BigQuery, and Databricks.

4. Batch & Streaming Data Processing

Process large volumes of data in real-time or at scheduled intervals with tools like Apache Kafka, Spark, and Airflow.

Data Engineering and Machine Learning – A Powerful Duo

Data engineering lays the groundwork, and machine learning unlocks its full potential. Our solutions enable you to go beyond dashboards and reports by integrating data engineering and machine learning into your workflow.

We help you:

Build feature stores for ML models

Automate model training with clean data

Deploy models for real-time predictions

Monitor model accuracy and performance

Whether you want to optimize your marketing spend or forecast inventory needs, we ensure your data infrastructure supports accurate, AI-powered decisions.

Serving the Greater Toronto Area with Local Expertise

As a trusted data engineering service in GTA, we take pride in supporting businesses across:

Toronto

Mississauga

Brampton

Markham

Vaughan

Richmond Hill

Scarborough

Our local presence allows us to offer faster response times, better collaboration, and solutions tailored to local business dynamics.

Why Businesses Choose C Data Insights

✔ End-to-End Support: From strategy to execution, we’re with you every step of the way ✔ Industry Experience: Proven success across retail, healthcare, finance, and logistics ✔ Scalable Systems: Our solutions grow with your business needs ✔ Innovation-Focused: We use the latest tools and best practices to keep you ahead of the curve

Take Control of Your Data Today

Don’t let disorganized or inaccessible data hold your business back. Partner with C Data Insights to unlock the full potential of your data. Whether you need help with cloud migration, real-time analytics, or data engineering and machine learning, we’re here to guide you.

📍 Proudly offering data engineering solutions in Toronto and expert data engineering service in GTA.

📞 Contact us today for a free consultation 🌐 https://cdatainsights.com

C Data Insights – Engineering Data for Smart, Scalable, and Successful Businesses

#data engineering solutions in Toronto #data engineering and machine learning #data engineering service in Gta

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reasonsforhope · 1 month ago

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"Canadian scientists have developed a blood test and portable device that can determine the onset of sepsis faster and more accurately than existing methods.

Published today [May 27, 2025] in Nature Communications, the test is more than 90 per cent accurate at identifying those at high risk of developing sepsis and represents a major milestone in the way doctors will evaluate and treat sepsis.

“Sepsis accounts for roughly 20 per cent of all global deaths,” said lead author Dr. Claudia dos Santos, a critical care physician and scientist at St. Michael’s Hospital. “Our test could be a powerful game changer, allowing physicians to quickly identify and treat patients before they begin to rapidly deteriorate.”

Sepsis is the body’s extreme reaction to an infection, causing the immune system to start attacking one’s own organs and tissues. It can lead to organ failure and death if not treated quickly. Predicting sepsis is difficult: early symptoms are non-specific, and current tests can take up to 18 hours and require specialized labs. This delay before treatment increases the chance of death by nearly eight per cent per hour.

[Note: The up to 18 hour testing window for sepsis is a huge cause of sepsis-related mortality, because septic shock can kill in as little as 12 hours, long before the tests are even done.]

[Analytical] AI helps predict sepsis

Examining blood samples from more than 3,000 hospital patients with suspected sepsis, researchers from UBC and Sepset, a UBC spin-off biotechnology company, used machine learning to identify a six-gene expression signature “Sepset” that predicted sepsis nine times out of 10, and well before a formal diagnosis. With 248 additional blood samples using RT-PCR, (Reverse Transcription Polymerase Chain Reaction), a common hospital laboratory technique, the test was 94 per cent accurate in detecting early-stage sepsis in patients whose condition was about to worsen.

“This demonstrates the immense value of AI in analyzing extremely complex data to identify the important genes for predicting sepsis and writing an algorithm that predicts sepsis risk with high accuracy,” said co-author Dr. Bob Hancock, UBC professor of microbiology and immunology and CEO of Sepset.

Bringing the test to point of care

To bring the test closer to the bedside, the National Research Council of Canada (NRC) developed a portable device they called PowerBlade that uses a drop of blood and an automated sequence of steps to efficiently detect sepsis. Tested with 30 patients, the device was 92 per cent accurate in identifying patients at high risk of sepsis and 89 per cent accurate in ruling out those not at risk.

“PowerBlade delivered results in under three hours. Such a device can make treatment possible wherever a patient may be, including in the emergency room or remote health care units,” said Dr. Hancock.

“By combining cutting-edge microfluidic research with interdisciplinary collaboration across engineering, biology, and medicine, the Centre for Research and Applications in Fluidic Technologies (CRAFT) enables rapid, portable, and accessible testing solutions,” said co-author Dr. Teodor Veres, of the NRC’s Medical Devices Research Centre and CRAFT co-director. CRAFT, a joint venture between the University of Toronto, Unity Health Toronto and the NRC, accelerates the development of innovative devices that can bring high-quality diagnostics to the point of care.

Dr. Hancock’s team, including UBC research associate and co-author Dr. Evan Haney, has also started commercial development of the Sepset signature. “These tests detect the early warnings of sepsis, allowing physicians to act quickly to treat the patient, rather than waiting until the damage is done,” said Dr. Haney."

-via University of British Columbia, May 27, 2025

#public health #medical news #sepsis #cw death #healthcare #medicine #medical care #ai #canada #north america #artificial intelligence #genetics #good news #hope

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elejahfanfic · 6 months ago

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●

_fanfic excerpt

The Shadowcatcher's Heart

_Blade Runner Jack Dekker, known as the Shadowcatcher, finds his way back to humanity after he meets Lena Hawthorne in a war-torn place.

•

"This is a case of identity theft. They used the old way of social engineering implants. The attackers breached the DAKA'S initial defenses in order to cause further disruption." Major Killin said.

"I though they would have very good anti-phishing defenses." Jack looked at the data that was sent in by the department's cyber analysts Lt. Hiro.

"Remember the perpetrators behind a watering hole attack who compromised LOR's website and aimed to catch out an individual from the energy target group." the Major continued.

"Yes, I do. They carried out the attacks as their device was compromised. But this looks to me as a diversion. We got to dig deeper." Jack said as he signed off the report.

"I'll take care of this. You have two days to do nothing. I heard that the angel is back from Paris."

"What?" Jack shot a look at his partner.

"Lena." the Major said.

Jack nodded and took his coat as he put his PKD-Blaster in its holster, "Wanna come along for a beer with us?"

"I'll take a rain check." the Major got up as well.

"Even though I'm off duty, let me know what you get." Jack said to the Major before he got out of the office.

"That goes without saying" the half human-half cyborg said.

Jack waved her goodbye and walked into an elevator. There, he typed a message to Lena that he was on his way.

As he took off in his Spinner, his thoughts flown back to the moment he saw Lena again after a year since the war infested place.

Flashback

Jack opened the page trying to find a book for his mother's birthday. And there was one antique bookstore he knew he'd find something his mother would love.

As he walked in the bookstore suddenly he stood like frozen in time. The soft, melodic alto that had a soothing quality made his heart flutter.

Is that her? Can it be her?

He walked in the side room and saw Lena sitting in the corner and reading from a book. He leaned on the door and listened, looking at her with a happy smile crossing his face.

'The butterfly sat upon her finger with wings of black and gold, the colours blending and swirling as playful waves upon night sands.

And as it fluttered away into the bright sky, she smiled, hearts gloriously filled with etheral serenity.

It was time to fly.'

Lena closed the book quietly and the small audience clapped.

She thanked everyone with a small nod. As she rose, she saw Jack standing as he clapped himself.

Thanking everyone present, she waved a tiny bit at him. He waited patiently till she finished talking to the book assistant about the weekly roster.

Having always been a very open-hearted person, she gave him a hug. "I'm so happy to see you," she murmured.

"Me, too." Jack said softly soaking in the warmth of those two pair of arms that squeezed him tight.

Parking up, he read her text.

Ordered your favourite katsu sando. Kiki is here.

He smiled a bit, and replied shortly with a Thx, even though he was about to enter their favourite Café.

He greeted Kiki, who was Lena's best friend from the University. He had only seen her over a video call a few times when Lena talked to her.

"I'm sorry I'm late." he sat next to Kiki and ordered a beer.

"Don't worry. Kiki was telling me all about her exhibition and her trip to Toronto." Lena said to Jack.

"You should come with me to the T Film Fest," Kiki said, "they have a retro day. You two would love it."

"We definitely should. Change the scenery." Lena said.

"Yes - let's" Jack said before he bit into his sandwich.

For him being with Lena as all her friends called her, was always like stepping into a dream-like state. His life felt mostly an exchange between a nightmare and a daymare. And she had him slowly learn to dream anew and escape the nauseating confines of the world they lived in.

@darknightfrombeyond

#ft. major mira killin #oc: kiki bennett #alternative universe #fanfiction #cyberpunk #cyberpunk fanfic #snippet #the shadowcatcher's heart #Oc lena hawthorne #Oc jack dekker

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mariacallous · 1 year ago

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Connecting the dots of recent research suggests a new future for traditional websites:

Artificial Intelligence (AI)-powered search can provide a full answer to a user’s query 75% of the time without the need for the user to go to a website, according to research by The Atlantic.

A worldwide survey from the University of Toronto revealed that 22% of ChatGPT users “use it as an alternative to Google.”

Research firm Gartner forecasts that traffic to the web from search engines will fall 25% by 2026.

Pew Research found that a quarter of all web pages developed between 2013 and 2023 no longer exist.

The large language models (LLMs) of generative AI that scraped their training data from websites are now using that data to eliminate the need to go to many of those same websites. Respected digital commentator Casey Newton concluded, “the web is entering a state of managed decline.” The Washington Post headline was more dire: “Web publishers brace for carnage as Google adds AI answers.”

From decentralized information to centralized conclusions

Created by Sir Tim Berners-Lee in 1989, the World Wide Web redefined the nature of the internet into a user-friendly linkage of diverse information repositories. “The first decade of the web…was decentralized with a long-tail of content and options,” Berners-Lee wrote this year on the occasion of its 35th anniversary. Over the intervening decades, that vision of distributed sources of information has faced multiple challenges. The dilution of decentralization began with powerful centralized hubs such as Facebook and Google that directed user traffic. Now comes the ultimate disintegration of Berners-Lee’s vision as generative AI reduces traffic to websites by recasting their information.

The web’s open access to the world’s information trained the large language models (LLMs) of generative AI. Now, those generative AI models are coming for their progenitor.

The web allowed users to discover diverse sources of information from which to draw conclusions. AI cuts out the intellectual middleman to go directly to conclusions from a centralized source.

The AI paradigm of cutting out the middleman appears to have been further advanced in Apple’s recent announcement that it will incorporate OpenAI to enable its Siri app to provide ChatGPT-like answers. With this new deal, Apple becomes an AI-based disintermediator, not only eliminating the need to go to websites, but also potentially disintermediating the need for the Google search engine for which Apple has been paying $20 billion annually.

The Atlantic, University of Toronto, and Gartner studies suggest the Pew research on website mortality could be just the beginning. Generative AI’s ability to deliver conclusions cannibalizes traffic to individual websites threatening the raison d’être of all websites, especially those that are commercially supported.

Echoes of traditional media and the web

The impact of AI on the web is an echo of the web’s earlier impact on traditional information providers. “The rise of digital media and technology has transformed the way we access our news and entertainment,” the U.S. Census Bureau reported in 2022, “It’s also had a devastating impact on print publishing industries.” Thanks to the web, total estimated weekday circulation of U.S. daily newspapers fell from 55.8 million in 2000 to 24.2 million by 2020, according to the Pew Research Center.

The World Wide Web also pulled the rug out from under the economic foundation of traditional media, forcing an exodus to proprietary websites. At the same time, it spawned a new generation of upstart media and business sites that took advantage of its low-cost distribution and high-impact reach. Both large and small websites now feel the impact of generative AI.

Barry Diller, CEO of media owner IAC, harkened back to that history when he warned a year ago, “We are not going to let what happened out of free internet happen to post-AI internet if we can help it.” Ominously, Diller observed, “If all the world’s information is able to be sucked up in this maw, and then essentially repackaged in declarative sentence in what’s called chat but isn’t chat…there will be no publishing; it is not possible.”

The New York Times filed a lawsuit against OpenAI and Microsoft alleging copyright infringement from the use of Times data to train LLMs. “Defendants seek to free-ride on The Times’s massive investment in its journalism,” the suit asserts, “to create products that substitute for The Times and steal audiences away from it.”1

Subsequently, eight daily newspapers owned by Alden Global Capital, the nation’s second largest newspaper publisher, filed a similar suit. “We’ve spent billions of dollars gathering information and reporting news at our publications, and we can’t allow OpenAI and Microsoft to expand the Big Tech playbook of stealing our work to build their own businesses at our expense,” a spokesman explained.

The legal challenges are pending. In a colorful description of the suits’ allegations, journalist Hamilton Nolan described AI’s threat as an “Automated Death Star.”

“Providential opportunity”?

Not all content companies agree. There has been a groundswell of leading content companies entering into agreements with OpenAI.

In July 2023, the Associated Press became the first major content provider to license its archive to OpenAI. Recently, however, the deal-making floodgates have opened. Rupert Murdoch’s News Corp, home of The Wall Street Journal, New York Post, and multiple other publications in Australia and the United Kingdom, German publishing giant Axel Springer, owner of Politico in the U.S. and Bild and Welt in Germany, venerable media company The Atlantic, along with new media company Vox Media, the Financial Times, Paris’ Le Monde, and Spain’s Prisa Media have all contracted with OpenAI for use of their product.

Even Barry Diller’s publishing unit, Dotdash Meredith, agreed to license to OpenAI, approximately a year after his apocalyptic warning.

News Corp CEO Robert Thomson described his company’s rationale this way in an employee memo: “The digital age has been characterized by the dominance of distributors, often at the expense of creators, and many media companies have been swept away by a remorseless technological tide. The onus is now on us to make the most of this providential opportunity.”

“There is a premium for premium journalism,” Thomson observed. That premium, for News Corp, is reportedly $250 million over five years from OpenAI. Axel Springer’s three-year deal is reportedly worth $25 to $30 million. The Financial Times terms were reportedly in the annual range of $5 to $10 million.

AI companies’ different approaches

While publishers debate whether AI is “providential opportunity” or “stealing our work,” a similar debate is ongoing among AI companies. Different generative AI companies have different opinions whether to pay for content, and if so, which kind of content.

When it comes to scraping information from websites, most of the major generative AI companies have chosen to interpret copyright law’s “fair use doctrine” allowing the unlicensed use of copyrighted content in certain circumstances. Some of the companies have even promised to indemnify their users if they are sued for copyright infringement.

Google, whose core business is revenue generated by recommending websites, has not sought licenses to use the content on those websites. “The internet giant has long resisted calls to compensate media companies for their content, arguing that such payments would undermine the nature of the open web,” the New York Times explained. Google has, however, licensed the user-generated content on social media platform Reddit, and together with Meta has pursued Hollywood rights.

OpenAI has followed a different path. Reportedly, the company has been pitching a “Preferred Publisher Program” to select content companies. Industry publication AdWeek reported on a leaked presentation deck describing the program. The publication said OpenAI “disputed the accuracy of the information” but claimed to have confirmed it with four industry executives. Significantly, the OpenAI pitch reportedly offered not only cash remuneration, but also other benefits to cooperating publishers.

As of early June 2024, other large generative AI companies have not entered into website licensing agreements with publishers.

Content companies surfing an AI tsunami

On the content creation side of the equation, major publishers are attempting to avoid a repeat of their disastrous experience in the early days of the web while smaller websites are fearful the impact on them could be even greater.

As the web began to take business from traditional publishers, their leadership scrambled to find a new economic model. Ultimately, that model came to rely on websites, even though website advertising offered them pennies on their traditional ad dollars. Now, even those assets are under attack by the AI juggernaut. The content companies are in a new race to develop an alternative economic model before their reliance on web search is cannibalized.

The OpenAI Preferred Publisher Program seems to be an attempt to meet the needs of both parties.

The first step in the program is direct compensation. To Barry Diller, for instance, the fact his publications will get “direct compensation for our content” means there is “no connection” between his apocalyptic warning 14 months ago and his new deal with OpenAI.

Reportedly, the cash compensation OpenAI is offering has two components: “guaranteed value” and “variable value.” Guaranteed value is compensation for access to the publisher’s information archive. Variable value is payment based on usage of the site’s information.

Presumably, those signing with OpenAI see it as only the first such agreement. “It is in my interest to find agreements with everyone,” Le Monde CEO Louis Dreyfus explained.

But the issue of AI search is greater than simply cash. Atlantic CEO Nicolas Thompson described the challenge: “We believe that people searching with AI models will be one of the fundamental ways that people navigate to the web in the future.” Thus, the second component in OpenAI’s proposal to publishers appears to be promotion of publisher websites within the AI-generated content. Reportedly, when certain publisher content is utilized, there will be hyperlinks and hover links to the websites themselves, in addition to clickable buttons to the publisher.

Finally, the proposal reportedly offers publishers the opportunity to reshape their business using generative AI technology. Such tools include access to OpenAI content for the publishers’ use, as well as the use of OpenAI for writing stories and creating new publishing content.

Back to the future?

Whether other generative AI and traditional content companies embrace this kind of cooperation model remains to be seen. Without a doubt, however, the initiative by both parties will have its effects.

One such effect was identified in a Le Monde editorial explaining their licensing agreement with OpenAI. Such an agreement, they argued, “will make it more difficult for other AI platforms to evade or refuse to participate.” This, in turn, could have an impact on the copyright litigation, if not copyright law.

We have seen new technology-generated copyright issues resolved in this way before.2 Finding a credible solution that works for both sides is imperative. The promise of AI is an almost boundless expansion of information and the knowledge it creates. At the same time, AI cannot be a continued degradation of the free flow of ideas and journalism that is essential for democracy to function.

Newton’s Law in the AI age

In 1686 Sir Isaac Newton posited his three laws of motion. The third of these holds that for every action there is an equal and opposite reaction. Newton described the consequence of physical activity; generative AI is raising the same consequential response for informational activity.

The threat of generative AI has pushed into the provision of information and the economics of information companies. We know the precipitating force, the consequential effects on the creation of content and free flow of information remain a work in progress.

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corner-stories · 1 year ago

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the shirtless wonder in the parking lot

Pieck Finger. Porco Galliard. Pomeranians. Fire Alarms. Swoon-Worthy Shoulders. Modern AU. 2895 words. (ao3.)

At this point of her adult life, Pieck Finger was very used to unexpected things — whether it be her research proposal being turned down for a third time, getting saddled with undergrad babysitting duty at the last minute, or the fire alarm in her building going off at 3AM.

The sound of which was absolutely piercing, nearly making her heart skip a beat as she jolted up from her bed. It only took a few seconds for the blaring noise to be joined by the sounds of every dog in the complex barking their heads off. And here she thought that living in a pet-friendly building was a good idea.

With a grumble, Pieck rubbed her tired eyes and moved off her mattress. So much for trying to sleep at a normal time like a responsible adult.

Stumbling through her studio in the dark felt like a blur. While she didn’t trip over her feet, she did bump her knees into more furniture than she would have liked. The sound of the alarm had yet to cease and was beginning to make her ears feel numb. Somehow she managed to find her keys, pull on her wellington boots, and grab her overcoat before leaving her apartment.

As Pieck walked through the hallways with her neighbours, she noted that everyone moved with a zombie-like gait. It wasn’t the first time the residents of the building had to evacuate due to the fire alarm, but it was certainly the first time it happened at such an ungodly hour.

At least they could all bond over the utter misery of the situation.

The alarm finally stopped once Pieck left the building, but stepping outside wasn’t remotely a change for the better. Though Toronto at this time of year wasn’t unfathomably cold, she could still see her breath as she stepped into the parking lot. She made sure to do-up the buttons of her overcoat as ends of the garments dangled by her bare legs.

Pieck yawned once more, trying her best to not fall asleep while standing — she couldn’t go through that for a third time. So she stood in a gathering of the building’s residents, most of them complaining to each other about the alarm and trying to surmise who had rung it. She wasn’t exactly listening — in fact, a part of her didn’t even care. In layman’s terms, she was way too tired to give a fuck.

She wasn’t sure how much time passed before a fire engine arrived at the building. As the uniformed men rushed in, Pieck sighed and began to wander, slowly finding her way out of the crowd of neighbours and deeper into the lot.

Not that there was anything to see, not even an edgy teen smoking a cigarette just to feel something.

But Pieck didn’t get far before she saw a sight that caught her off-guard.

Under a streetlight was a dog and its owner connected by a leash. The dog in question was a pomeranian, a tiny ball of fluff that looked to be about eight pounds soaking wet.

And the owner was currently standing in the midst of the lot…

… wearing nothing but his boxers.

Though technically, he was also wearing a lanyard around his neck and a pair of fuzzy slippers. Clearly, his feet were number one on the list of things that needed to be covered, everything else be damned.

The drowsiness in her system left in seconds as Pieck eyed him, doing her damndest to pay attention to his face.

He seemed about her age and was a head taller than her, though that wasn’t a tall hurdle to jump. The features of his chin and jawline were angular and sharp, which would have made him look dashing if not for his look of utter exhaustion. She couldn’t recall passing his hazel eyes or sandy hair in the hallways — she definitely would’ve remembered him.

But then again, Pieck was rarely home. She had a habit of spending her evenings at the university, either data analyzing the night away or attempting an experiment for the fifth time. Even when she was at her building her thoughts were usually on how tired she was or how long it had been since she ate a goddamn vegetable. And the lettuce in a big mac didn’t count.

A part of her began to feel bad — she had been living in the building ever since she came to Toronto and she couldn’t even put a name to one of the faces.

Soon enough, the Shirtless Wonder stopped staring off into space and looked towards Pieck, effectively breaking her out of her trance.

Their eyes met and suddenly Pieck realized that her gaze had been lingering on him, which combined with his lack of clothes made for a very peculiar set of circumstances.

And not one that made her look good.

“Sorry!” she blurted out. “I wasn’t looking, I was just… uh…”

The Shirtless Wonder shook his head. “It’s fine, it’s fine.”

From the sound of his voice, he was likely just as tired as her — who wouldn’t be at this hour?

Pieck nodded and looked downwards, very respectfully avoiding the sight of his crotch. She glanced at the fluff ball on the ground. The pomeranian had cream-coloured fur, a pair of beady black eyes, and seemed to walk with the grace of a nervous chicken wing. It looked up to Pieck and sat on the ground, wagging its tail in her presence.

With a grin, Pieck approached the dog and the dog’s bare-chested owner.

“Who’s the little one?” she asked.

“Her name’s Ripjaw.”

Pieck let out a laugh. There was just something inherently hilarious about such a fearsome name being given to such a floofy chicken nugget. She knelt down to get to the adorable beast’s level.

“Is she friendly?”

“Not usually,” said the Shirtless Wonder. He ran a hand through his unkempt bedhead. “She seems to like you though.”

Pieck’s grin was cheeky as she reached over to pet a very happy Ripjaw. “What can I say? There’s lots to like.”

Pieck swore that she heard the Shirtless Wonder scoffing.

With a gentle touch, Pieck patted the top of Ripjaw’s head, something the pom seemed to enjoy. Sure, waking up at 3AM sucked and she would definitely bemoan it once she headed out later, but meeting the cutest pup in the GTA was definitely an upside.

With a smile, she glanced up to the owner. “I’m Pieck, by the way.”

“Porco,” he answered, and for some reason Pieck felt like that name suited him.

After a few moments of giving Ripjaw all the love she deserved, Pieck stood up straight again. There was another beat as the two tenants (and one dog) looked over at the chaos gathering in front of their building. Firefighters were still going in and coming out, speaking things to each other that Pieck could not hear. If anything, it seemed that the residents would be standing in the cold Toronto night for a few minutes more.

With that in mind, Pieck turned her head towards the Shirtless Wonder and asked —

“So uh… not to bring up the elephant in the parking lot, but… did you just… forget to put on clothes?”

Porco slowly craned his head her way, looked her up and down, and replied — “You’re one to talk.”

Pieck looked down and noticed that her overcoat had come undone, exposing her fashion choices beneath. She was used to t-shirts draping loosely on her tiny frame — often giving the illusion of a make-shift dress — but occasionally running the risk of making it appear that she forgot to put on pants. Tonight, her outfit pertained to the latter criteria.

In a way it was fitting — she had seen Porco’s underwear and now he had seen hers. They were finally on even ground except one of them didn’t have their nipples exposed to the frigid night air.

“Fair point,” Pieck said, then did up her overcoat again. It was certainly not the first time a man had seen her skivvies in public, but she hoped that it would be the last.

After finishing the last button, Pieck glanced down again to see Ripjaw smiling at her feet. The little one proceeded to jump upwards on her stubby legs, clearly craving Pieck’s attention.

And who was Pieck to refuse?

With a grin, she bent down again to pet the pomeranian’s head. “Hello again, Puppy.”

“Do you wanna hold her?”

Pieck’s head snapped towards him, shocked. “Can I?”

Porco was already nodding and kneeling down to pick up his dog. “Sure.”

In her owner’s arms, little Ripjaw had taken the mannerisms of a panting nugget. It was adorable. Porco held Ripjaw to her and Pieck graciously accepted the pup into the arms. The first thing she noted was that despite expecting Ripjaw to be heavier, she really didn’t weigh a lot. The length of her fur was shockingly good at hiding her true proportions. Yet Pieck still held the pom like it was her first born child, unable to wipe the pleased grin on her face.

Clearly, this had been the best thing to happen to her at 3AM since the night she tried edibles and met god.

When Pieck looked back to Porco she realized that he was standing just a little bit closer to her. The smile on his pretty face was unmistakable. Their gazes met and suddenly Pieck remembered that he was currently clad in nothing but his boxers, so she distanced herself from him very slightly, not wanting to risk his discomfort.

“So… what do you do for work?” asked Porco, speaking in a voice that made her think that he was genuinely interested.

“I’m a PhD Candidate. U of T.”

Porco blinked, surprised. “Oh shit, no way.”

Pieck couldn’t help but scoff. Nowadays, the pride she felt from getting accepted into her reach school had long worn off. Now in its place was the despair and agony only known to those who thought that getting a degree in pharmacology was a good idea. Sure, Toronto was definitely farther than she expected to go, as most girls in her hometown of Middle-Of-Nowhere, Alberta were lucky to make it to Edmonton, but the feelings of fortune had sapped away once she accepted her fate as a disposable grad student.

But instead of dwelling on any of that, Pieck retained a smile and decided to say —

“You sound impressed.”

“I mean… I’ve only done community college so yeah…” Porco explained, yet again running a hand through his hair. “You’re leagues ahead of me.”

“Hey, we all gotta start somewhere, right?” Pieck assured him. “Which one?”

“Centennial,” he answered, shrugging. Judging by the way he held himself, he didn’t seem too proud of his accomplishment. “I uh… did that automotive foundations course.”

Pieck tilted her head to the side, quickly looking him up and down and not for the reasons one would think.

“Hm… you didn’t strike me as a grease monkey type…”

Porco raised an eyebrow. “Why so?”

There was a beat, then Pieck reached forward to take his hand, running her thumb over his palm and realizing that it was baby smooth.

“Your hands aren’t that calloused…” she observed. “... and most grease monkeys I've met don’t have cute little muffykins dogs like this.”

Porco scoffed and gave his precious pup a few head pats. “Hey… I didn’t pick Ripjaw, she picked me.”

Pieck let out a laugh. She glanced down to see that Ripjaw had now fallen asleep in her arms, burying her tiny snout into the crook of Pieck’s elbow like it was the only place she ever wanted to be. The sight of it was enough to make Pieck melt then and there.

For a moment, the underdressed PhD candidate and grease monkey looked towards their building entrance again. Behind the crowd of sleepy tenants were more firefighters exiting the place. Judging by the lack of skip in their step, it was fair to say that whatever called them over was no longer an issue. Or at least, an issue worth panicking over.

One older firefighter with the bushiest mustache on this side of Lake Ontario stepped out of the building last. He was holding some kind of charred, smoking item in his gloved hand as he approached the crowd. He cleared his throat rather loudly to get everyone’s attention.

From where Pieck and Porco stood, they could see the firefighter raising the item up in the air. It turned out to be a skillet that had been burnt to hell and back, whatever food had been cooking on it had been so scorched so thoroughly that it had turned black and became one with the pan.

“Lesson learned, people!” the firefighter announced. “If you make pancakes at 3AM, don’t fall asleep!”

Some chuckles were heard in the crowd, but most were drowned out by the groans of frustration and yawns of exhaustion. At least no one seemed particularly interested in pinpointing who started the fire. Nonetheless, the firefighters had deemed it safe to re-enter the building, much to the relief of everyone.

Pieck handed Ripjaw back to Porco and the pom looked quite sad to be away from her arms. With her hands in her overcoat pockets, Pieck walked back towards the entrance of the building with the bare-chested grease monkey walking next to her.

They joined the crowd of people re-entering the place, Porco holding his precious pomeranian in his arms to prevent her from being trampled. Since everyone seemed to be taking their sweet time getting back into the place, Pieck turned to Porco and asked —

“What unit are you in?”

“302. You?”

“402.” Pieck smiled. “I must be right above you.” She then reached over to boop Ripjaw’s nose. “I’m surprised I haven’t heard her screaming. Aren’t pomeranians supposed to be yappy?”

Porco chuckled, seeming a lot more awake despite the time of night. “Oh, she is, but she lets it out at doggy day care.”

Something about the sentence made Pieck light up. “You send her to daycare!?”

“Of course,” he said, giving an honest grin. “Hers is just down the street.”

The idea of little Ripjaw roaming a room of dogs brought a grin to Pieck’s face. A part of her could just envision the fluff ball acting like the mighty leader of the pack, commanding her own forces to bring them all to victory.

Surprisingly, Pieck and Porco were some of the few tenants taking the stairs. Perhaps some people were a little too sleep-deprived to realize how ungodly long the line for the elevator was. And in a four-storey building, no less.

In due time they arrived at the third floor. Porco began stepping towards the doorway leading him to the hallway, catching Pieck’s attention.

“Guess this is you then, eh?” she asked.

Porco nodded. “That it is.” His eyes then glanced down to Ripjaw in his arms, who’s attention was on the PhD candidate and only the PhD candidate.

With a sweet smile on her face, Pieck walked over to give the pom a few pets goodbye.

“See you around, Baby Girl,” she said, then looked up to Porco. “Oh, and you, too.”

In any other situation — perhaps one that involved both parties being more clothed — Pieck might have directed the nickname to Porco instead, just to entertain herself. But for now, she was content to shower the adorable pomeranian with love and maybe acknowledge the owner too.

Porco seemed to be amused by her antics. “You know, I come home around 6-ish every day. You could stop by.”

Pieck nodded. “I like the sound of that, I could use a break from the neverending road of despair that’s academia.” Her tone was surprisingly cheery.

Pieck was expecting Porco to laugh at her remark, as did most of her fellow grad students and candidates. However, when she looked up to meet his gaze all she could see was the look of utter concern on his handsome face.

“Grad school humour,” she explained dryly, and to that Porco nodded quite slowly.

“Ah, gotcha.”

Pieck’s voice suddenly took a more chipper tone to distract from her sense of humour.

“Anyways, good night!”

And with that said, Pieck turned around and dashed up the staircase as quickly as her boots could take her. She didn’t look back at the shirtless wonder, as much as parts of her wanted to.

Once she arrived at unit 402, she was quick to grab her keys and enter her home. Now inside the comfort of her studio, Pieck immediately discarded her coat and boots like a stripper whose rent was due tomorrow. She didn’t even bother turning on the lights. A look at the clock on her night stand told her that she had less than four hours of sleep to enjoy before life would start again. So after diving into bed, she pulled her blankets over her body before closing her eyes and attempting to face slumber once more.

To Pieck’s surprise, the last thing on her mind before she fell asleep did not pertain to her research, advisor’s words, or the lack of groceries in her fridge. Instead what laid in her head were the memories of a little fluffy chicken wing and a pair of absolutely swoon-worthy shoulders.

#porco galliard #pieck finger #pokkopikku #pokkopiku #gallipieck #snk #modern au #Ripjaw Galliard #grad schol au #in which pieck looks very respectfully

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softwaretrend · 10 months ago

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Unlock the power of data with Impressico Business Solutions, a leading Data Engineering Company in Toronto. They offer tailored solutions to transform your raw data into actionable insights. Partner with them for cutting-edge Data Engineering in Toronto and drive smarter, data-driven decisions for your business

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technology-business-world · 2 years ago

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Empowering Businesses with Top-tier Data Engineering Services in Toronto

Impressico Business Solutions stands as a beacon of excellence in the realm of Data Engineering Services in Toronto. With their unwavering commitment to innovation, technological prowess, and tailored solutions. Visit the website.

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salmapathan · 3 months ago

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Study Abroad Made Simple: Top Global Universities & Courses with Y-Axis Canada

Pursuing your dream to study abroad begins with choosing the right country, university, and program. At Y-Axis Canada, we empower students with the guidance, support, and expertise needed to navigate the complex process of international education. With a network of top global institutions and a proven track record in student study visa success, we help you turn your global academic aspirations into a reality.

Why Choose Y-Axis Canada for Your Study Abroad Journey

Y-Axis Canada is one of the most trusted names among immigration consultants, with a strong presence across countries and thousands of successful student placements. We specialize in identifying the best study opportunities for aspiring students by matching their academic goals, preferences, and career plans to world-class institutions. Our services include:

Personalized career and academic counselling

University and course selection tailored to your profile

Expert support for study visa filing

Guidance on SOP, LORs, and scholarships

Pre-departure and post-landing assistance

Our team ensures that your study abroad experience is efficient, stress-free, and successful from application to arrival.

Top Countries to Study Abroad in 2025

Study in Canada: Post-Study Work & PR Pathways

Canada remains a top destination for international students due to its world-renowned universities, welcoming culture, and opportunities for post-graduation immigration. Universities like the University of Toronto, McGill University, and University of British Columbia consistently rank among the best globally.

Popular courses in Canada include:

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With a simplified study visa process and options to work during and after studies, Canada offers a direct pathway to permanent residency. Our experts assist in every step, including GIC funding, SOP writing, and visa interviews.

Study in Germany: Affordable Education with Innovation

Germany is globally recognized for offering tuition-free or low-cost education in its prestigious public universities. With strong emphasis on research and innovation, students are drawn to programs in:

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Top institutions include Technical University of Munich, Heidelberg University, and RWTH Aachen. Our services include application translation, language preparation, and guidance for the German study visa process.

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The UK boasts centuries-old institutions and flexible academic programs, making it one of the best choices for those looking to gain a competitive global edge. Leading universities include University of Oxford, University of Cambridge, Imperial College London, and LSE.

Top courses for international students:

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With a two-year post-study work visa, the UK offers international students ample time to secure employment after graduation. We support every step including CAS issuance, biometric scheduling, and compliance documentation.

Study in USA: Academic Diversity with Career Advantage

The United States offers the most diverse and dynamic educational landscape with over 4,000 universities to choose from. Whether you aim for Ivy League institutions or leading state universities, options abound for every interest and career path.

Top-ranked programs in the USA:

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Universities like Harvard, Stanford, MIT, and UCLA offer cutting-edge facilities and vast alumni networks. Our consultants assist in F-1 study visa applications, SEVIS registration, and financial affidavit preparation.

Study in Australia: High Employability & Quality of Life

Australia attracts thousands of international students annually due to its vibrant student life, world-class institutions, and high employability rates. Key universities include University of Melbourne, University of Sydney, and University of Queensland.

Popular programs in Australia:

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Education and Teaching

The country offers 20-hour work permissions during study and a post-study work visa, making it an excellent choice for long-term plans. Our experts handle all aspects from GTE statements to visa appointments and medical checks.

Study in Dubai: Fast-Growing Education Hub

Dubai is quickly gaining recognition for hosting top-tier international branch campuses, offering global degrees with local accessibility. Students benefit from state-of-the-art infrastructure, multicultural exposure, and strong career support.

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Institutions such as University of Birmingham - Dubai Campus, Heriot-Watt University, and SP Jain School of Global Management offer globally accredited degrees. We provide complete support for application processing, accommodation, and Dubai study visa services.

Best Programs to Study Abroad in 2025

STEM (Science, Technology, Engineering, Mathematics)

STEM degrees continue to dominate global job markets. Programs in data science, AI, robotics, aerospace, and civil engineering are in high demand with strong industry collaborations and internship opportunities.

Business and Management

Whether it’s a Bachelor in Business Administration or an MBA, business-related programs are highly versatile and sought-after. Specializations in finance, marketing, HR, and entrepreneurship provide excellent ROI.

Health Sciences

Courses in nursing, public health, clinical research, and pharmacy are rapidly expanding, with students having access to hospitals and hands-on labs.

Social Sciences & Humanities

Programs in international relations, psychology, sociology, and media studies offer in-depth understanding of global cultures and prepare students for impactful careers.

Creative and Design Courses

For students with artistic inclinations, courses in graphic design, fashion, animation, and film production offer both academic and professional fulfillment.

Comprehensive Support from Y-Axis Canada

Our end-to-end services for study abroad applicants include:

Free profile evaluation

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With a 98% satisfaction rate, our team of seasoned advisors and certified immigration consultants ensure that no detail is overlooked.

Why Thousands Trust Y-Axis CA

20+ Years of Global Consulting Experience

Offices in Canada, India, UAE, and Australia

Over 1 Million Successful Counsellings

Partnerships with 750+ Universities

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At Y-Axis Canada, we don’t just help you apply—we help you succeed. Your dream to study abroad starts with the right partner, and we are committed to being by your side throughout the journey.

#immigration consultants #study abroad #study visa #visa application #visa consultancy services #study in canada #study in uk #study in germany #study in dubai #study in australia #study in usa

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angelajohnsonstory · 3 months ago

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Explore how Impressico Business Solutions is transforming Toronto's business landscape through advanced Business Intelligence Services and Solutions in Toronto. Learn how their expertise in data engineering and analytics empowers organizations to make informed decisions and drive growth.

#Bi Solution Toronto #Business Intelligence Services and Solutions in Toronto #Business Intelligence Toronto #Data Engineering Consulting Services in Toronto #Data Engineering #Business Intelligence Services

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cdatainsights · 2 months ago

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Powering Innovation with Data Engineering Solutions in Toronto – cdatainsights

In an era where every click, transaction, and interaction creates data, the ability to harness that information has become a competitive necessity. Businesses across industries are turning to data engineering solutions in Toronto to turn complex, unstructured data into usable insights. At cdatainsights, we deliver advanced data engineering and machine learning services designed to help organizations make smarter, faster decisions.

Whether you are building a new analytics infrastructure from the ground up or optimizing an existing one, our specialized data engineering service in GTA ensures your systems are scalable, secure, and insight-ready.

What is Data Engineering and Why It’s Crucial

Data engineering is the critical first step in the data lifecycle. It involves the architecture and development of pipelines that collect, process, and store data in formats suitable for analytics, dashboards, and machine learning models. Without well-designed data systems, your business risks relying on outdated or inaccurate information.

cdatainsights provides complete data engineering solutions in Toronto — ensuring that your data ecosystem is not just functional but future-proof. We build robust data frameworks that support:

Real-time and batch data ingestion

Data normalization and transformation

Centralized data lakes and warehouses

Monitoring and logging for data reliability

Seamless integration with BI tools and ML models

Bridging the Gap: Data Engineering and Machine Learning

Machine learning is only as effective as the data it's trained on. That’s why we focus on the intersection of data engineering and machine learning to deliver holistic, outcome-focused solutions.

Our experts help you:

Prepare and label training datasets

Automate data workflows for continuous ML model training

Deploy models into production with minimal latency

Ensure feedback loops for real-time model improvement

From sentiment analysis and predictive modeling to personalized recommendations, we help you use ML in ways that directly impact your KPIs.

Custom Data Engineering Service in GTA – Tailored for Your Industry

As a Toronto-based company, we understand the unique challenges and opportunities facing local businesses. Our data engineering service in GTA is customized to meet industry-specific needs, including:

➤ Finance & Fintech

Build systems for fraud detection, real-time transaction processing, and customer behavior analysis.

➤ Healthcare & Life Sciences

Enable data-driven patient care with EHR integration, medical device data pipelines, and secure data governance.

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Power your customer experience with real-time product recommendations, demand forecasting, and supply chain visibility.

➤ Manufacturing & IoT

Use IoT sensor data to optimize operations, monitor equipment, and drive predictive maintenance.

Why Businesses Trust cdatainsights

We’re not just a service provider — we’re your strategic partner in digital transformation. Here's why businesses choose cdatainsights for data engineering solutions in Toronto:

✅ Toronto-Based, GTA-Focused Local expertise means quicker turnarounds, onsite collaboration, and deep knowledge of regional regulations and market trends.

✅ Full-Stack Data Capabilities From data lakes and stream processing to advanced ML integrations — we cover it all.

✅ Cloud-Native & Scalable We build cloud-agnostic solutions using AWS, Azure, or GCP, ensuring flexibility and performance.

✅ Security-First Approach Data privacy and compliance are core to every solution we deliver — including HIPAA, PIPEDA, and SOC standards.

Technologies We Use

Our tech stack includes the latest in data and cloud innovation:

Data Processing: Apache Spark, Airflow, Kafka, dbt

Storage & Warehousing: Snowflake, BigQuery, Redshift, Delta Lake

Cloud Platforms: AWS, Azure, Google Cloud

Orchestration & DevOps: Docker, Kubernetes, Terraform

ML & AI: TensorFlow, Scikit-Learn, PyTorch, MLFlow

Get Started with cdatainsights Today

If you're looking for reliable, expert-driven data engineering service in GTA, cdatainsights is your go-to partner. Our team is ready to help you organize, optimize, and activate your data to drive real business value.

🚀 Take the next step in your data transformation journey.

📞 Contact cdatainsights today to schedule your free consultation.

cdatainsights – Engineering Data. Empowering Decisions.

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