#best data science company

[techygrowth]

India is rapidly growing in data science, with numerous companies providing solutions. Data science is very important for business strategy as  data driven insights are growing. Data science companies should be innovative, expertise, and commitment to excellence.

[techallylabs123]

Best Data Science Company | Techally Labs

There are many Best data science company out there, Techally Labs is one of best for you will depend on your specific needs and goals. If you're looking for a company that can provide comprehensive data science services, then look no further than DataScience.com. They have a team of experienced data scientists who can help you with everything from data collection and analysis to model development and deployment. If you're more interested in a company that specialises in machine learning, then you should check out companies like CloudMinds and Vicarious AI. Both of these companies have developed groundbreaking artificial intelligence technologies that are being used by some of the biggest names in the tech industry.

[elsa16744]

Top 10 Data Science Companies You Should Know About

Modern business strategy has quickly made data science a cornerstone. From the initial use of numbers to today’s use in machine learning and AI, data science is integral to companies thriving on data.

Read More : https://www.sganalytics.com/blog/top-data-science-companies/

[apex-seo-work]

Generative AI | High-Quality Human Expert Labeling | Apex Data Sciences

Apex Data Sciences combines cutting-edge generative AI with RLHF for superior data labeling solutions. Get high-quality labeled data for your AI projects.

[mobcoderr]

Manifesting Magnificence: The Pinnacle of Dubai's Finest Mobile App Development Firm

In the ever-evolving landscape of technology, finding the Best Mobile App Development Company in Dubai is crucial for businesses aspiring to thrive in the digital realm. At Mobcoder, we stand as the epitome of innovation and expertise, setting the gold standard for mobile app development in the heart of Dubai.

Click here - https://medium.com/@mobcoder/revealing-magnificence-the-ultimate-level-of-best-mobile-app-development-company-in-dubai-eba8ab6e03b7

[jcmarchi]

AI accelerates problem-solving in complex scenarios

New Post has been published on https://thedigitalinsider.com/ai-accelerates-problem-solving-in-complex-scenarios/

AI accelerates problem-solving in complex scenarios

While Santa Claus may have a magical sleigh and nine plucky reindeer to help him deliver presents, for companies like FedEx, the optimization problem of efficiently routing holiday packages is so complicated that they often employ specialized software to find a solution.

This software, called a mixed-integer linear programming (MILP) solver, splits a massive optimization problem into smaller pieces and uses generic algorithms to try and find the best solution. However, the solver could take hours — or even days — to arrive at a solution.

The process is so onerous that a company often must stop the software partway through, accepting a solution that is not ideal but the best that could be generated in a set amount of time.

Researchers from MIT and ETH Zurich used machine learning to speed things up.

They identified a key intermediate step in MILP solvers that has so many potential solutions it takes an enormous amount of time to unravel, which slows the entire process. The researchers employed a filtering technique to simplify this step, then used machine learning to find the optimal solution for a specific type of problem.

Their data-driven approach enables a company to use its own data to tailor a general-purpose MILP solver to the problem at hand.

This new technique sped up MILP solvers between 30 and 70 percent, without any drop in accuracy. One could use this method to obtain an optimal solution more quickly or, for especially complex problems, a better solution in a tractable amount of time.

This approach could be used wherever MILP solvers are employed, such as by ride-hailing services, electric grid operators, vaccination distributors, or any entity faced with a thorny resource-allocation problem.

“Sometimes, in a field like optimization, it is very common for folks to think of solutions as either purely machine learning or purely classical. I am a firm believer that we want to get the best of both worlds, and this is a really strong instantiation of that hybrid approach,” says senior author Cathy Wu, the Gilbert W. Winslow Career Development Assistant Professor in Civil and Environmental Engineering (CEE), and a member of a member of the Laboratory for Information and Decision Systems (LIDS) and the Institute for Data, Systems, and Society (IDSS).

Wu wrote the paper with co-lead authors Siriu Li, an IDSS graduate student, and Wenbin Ouyang, a CEE graduate student; as well as Max Paulus, a graduate student at ETH Zurich. The research will be presented at the Conference on Neural Information Processing Systems.

Tough to solve

MILP problems have an exponential number of potential solutions. For instance, say a traveling salesperson wants to find the shortest path to visit several cities and then return to their city of origin. If there are many cities which could be visited in any order, the number of potential solutions might be greater than the number of atoms in the universe.  

“These problems are called NP-hard, which means it is very unlikely there is an efficient algorithm to solve them. When the problem is big enough, we can only hope to achieve some suboptimal performance,” Wu explains.

An MILP solver employs an array of techniques and practical tricks that can achieve reasonable solutions in a tractable amount of time.

A typical solver uses a divide-and-conquer approach, first splitting the space of potential solutions into smaller pieces with a technique called branching. Then, the solver employs a technique called cutting to tighten up these smaller pieces so they can be searched faster.

Cutting uses a set of rules that tighten the search space without removing any feasible solutions. These rules are generated by a few dozen algorithms, known as separators, that have been created for different kinds of MILP problems. 

Wu and her team found that the process of identifying the ideal combination of separator algorithms to use is, in itself, a problem with an exponential number of solutions.

“Separator management is a core part of every solver, but this is an underappreciated aspect of the problem space. One of the contributions of this work is identifying the problem of separator management as a machine learning task to begin with,” she says.

Shrinking the solution space

She and her collaborators devised a filtering mechanism that reduces this separator search space from more than 130,000 potential combinations to around 20 options. This filtering mechanism draws on the principle of diminishing marginal returns, which says that the most benefit would come from a small set of algorithms, and adding additional algorithms won’t bring much extra improvement.

Then they use a machine-learning model to pick the best combination of algorithms from among the 20 remaining options.

This model is trained with a dataset specific to the user’s optimization problem, so it learns to choose algorithms that best suit the user’s particular task. Since a company like FedEx has solved routing problems many times before, using real data gleaned from past experience should lead to better solutions than starting from scratch each time.

The model’s iterative learning process, known as contextual bandits, a form of reinforcement learning, involves picking a potential solution, getting feedback on how good it was, and then trying again to find a better solution.

This data-driven approach accelerated MILP solvers between 30 and 70 percent without any drop in accuracy. Moreover, the speedup was similar when they applied it to a simpler, open-source solver and a more powerful, commercial solver.

In the future, Wu and her collaborators want to apply this approach to even more complex MILP problems, where gathering labeled data to train the model could be especially challenging. Perhaps they can train the model on a smaller dataset and then tweak it to tackle a much larger optimization problem, she says. The researchers are also interested in interpreting the learned model to better understand the effectiveness of different separator algorithms.

This research is supported, in part, by Mathworks, the National Science Foundation (NSF), the MIT Amazon Science Hub, and MIT’s Research Support Committee.

[sumaya432]

WE PROPEL THE WORLD’S BEST COMPANIES WITH DATA ENGINEERED TO DELIVER THE ABSOLUTE HIGHEST PERFORMING C-LEVEL AND BOARD LEADERSHIP FASTER THAN ANYONE ELSE. Recognized for securing Rocketship CEOs for Tech Giants and many of Silicon Valley’s original unicorns, Christian & Timbers is now re-engineering the next generation of executive search. Introducing Science Based Search For the first time the data transparency to know you will be selecting from the absolute best, highest performing Rocketship Leaders within days not months of initiating the search. TALENT MAPPING → TALENT PIPELINING Knowing the complete competitive candidate ecosystem at launch allows you the business intelligence and talent pipelining to always execute the optimum search strategy. PREDICTIVE LEADERSHIP - PROPRIETARY OUTREACH Our brand, command of language and multi-tiered outreach engines assures leadership trusted to deliver our client’s most critical high-performance business outcomes. UNCOMPROMISING LEADERSHIP HIRING MODEL Capturing the complete candidate universe, KPIs and an Uncompromising Leadership Hiring Model gives you the data transparency to always hire the absolute best. Winning the war for talent for over 40 years

Our experience, global reputation and deep relationships with the best leadership gives us access to the most sought-after Rocketship Talent around the world. The industry’s most advanced Talent Map Engineering adds to our expertise in every specialization.

We first specialized in Robotics, then semiconductor, becoming market leaders in every sector of technology. We are experts in each sector we focus today.

[deciphertechae]

Unlocking the Power of Data Science and Analytics: Finding the Best Data Analytics Company in Dubai

Introduction

In today's data-driven world, businesses in Dubai are increasingly turning to data science and analytics to gain a competitive edge. Finding the best data analytics company in Dubai is crucial for harnessing the full potential of your data. This blog will guide you through the process, explore the importance of data science consulting, and delve into the role of artificial intelligence in Dubai's data analytics landscape.

Why Data Science and Analytics Matter

Understanding the Data Analytics Company Landscape

Data science and analytics have revolutionized the way companies operate. They provide valuable insights that can drive better decision-making, improve efficiency, and enhance customer experiences. To leverage these benefits, it's essential to partner with a reliable data analytics company in Dubai.

Finding the Best Data Analytics Company in Dubai

Define Your Objectives

Before you start your search, outline your specific objectives and goals. Are you looking to enhance customer satisfaction, optimize operations, or explore new revenue streams? Knowing your objectives will help you choose a data analytics company with the right expertise.

Research and Shortlist

Begin your search by researching data analytics companies in Dubai. Look for their portfolios, case studies, and client reviews. Pay attention to their industry experience and the range of services they offer. Shortlist a few companies that align with your goals.

Assess Expertise and Technology

Evaluate the expertise of shortlisted companies in data science and analytics. Do they have a team of experienced data scientists and analysts? Are they up-to-date with the latest technologies and tools? A top-notch data analytics company should have a strong technological foundation.

Request Proposals and Quotes

Reach out to the shortlisted companies for proposals and quotes. Compare their offerings, pricing, and timelines. Don't hesitate to ask questions about their methodologies, data security measures, and past successes.

Client References

Request client references from the data analytics companies. Talking to previous clients can provide valuable insights into the company's performance and customer satisfaction.

Final Selection

After thorough evaluation, make your final selection. Choose a data analytics company that not only meets your requirements but also understands your industry and business challenges. 

Conclusion

In your quest to find the best data analytics company in Dubai, remember to define your objectives, conduct thorough research, and evaluate expertise and technology. Data science consulting and the integration of artificial intelligence in Dubai are pivotal in unlocking the true potential of your data. By following these steps, you can make an informed decision and propel your business to new heights with data science and analytics.

FAQs

What is the significance of data science consulting for businesses in Dubai?

Data science consulting helps businesses in Dubai leverage their data for informed decision-making, improved efficiency, and enhanced customer experiences. It provides expert guidance in harnessing the power of data.

How does artificial intelligence play a role in data analytics in Dubai?

Artificial intelligence (AI) is a key component of data analytics in Dubai. AI algorithms can analyze vast datasets quickly, identify patterns, and make predictions, enabling businesses to gain deeper insights and make data-driven decisions.

What sets the best data analytics company in Dubai apart from the rest?

The best data analytics company in Dubai stands out by having a team of experienced data scientists, staying updated with the latest technologies, offering a wide range of services, and delivering exceptional results tailored to their clients' needs.

[360digitmg-ds-da-hyd]

Kickstarting Your Data Science Journey in Hyderabad

Hyderabad, a city known for its vibrant IT industry, provides a conducive environment for aspiring data scientists to kickstart their careers. If you're interested in embarking on a data science journey in Hyderabad, this guide will provide you with actionable steps to get started.

Understand the Field of Data Science:

In order to get insights from data, data scientists mix statistics, mathematics, programming, and domain expertise. Familiarize yourself with key concepts such as data analysis, machine learning, data visualization, and statistical modeling.

Improve Your Math and Statistics Foundations:

The foundation of data analyst institute in hyderabad is math and statistics. Strengthen your understanding of fundamental concepts like linear algebra, calculus, probability, and hypothesis testing. You may take classes to improve your statistical and quantitative abilities online.

Learn Programming Languages:

Proficiency in programming languages is crucial for data science.Due to their rich libraries and tools for machine learning and data analysis, both R and Python are preferred options. Begin with Python as it is widely used in the industry and has a supportive community. Explore online tutorials, coding platforms, and books to learn Python programming.

Master Data Manipulation and Analysis:

Data manipulation and analysis are essential skills for a data science training in hyderabad. Learn how to handle and clean data, merge datasets, perform exploratory data analysis, and derive meaningful insights. Libraries like Pandas and NumPy in Python offer powerful tools for data manipulation and analysis.

Explore Machine Learning:

Machine learning enables data scientists to build predictive models and make data-driven decisions. Start by understanding supervised and unsupervised learning algorithms. Explore libraries like scikit-learn and TensorFlow to implement machine learning algorithms and evaluate model performance.

Take part in contests and projects:

It is a site where you may test your knowledge in data science contests using actual datasets. You may learn from others, acquire practical experience, and present your skills to potential employers by taking part in competitions.

Pursue Data Science Courses and Programs:

Take into account signing up for data science courses and programmes provided by reputable universities and online platforms. The International Institution for Information Technology, Hyderabad (IIIT-H) and other institutions provide data science programmes with thorough curricula. Numerous data science courses by prestigious institutions and business leaders are available online.

Engage with the Data Science Community in Hyderabad:

Networking and engaging with the data science community in Hyderabad can open doors to opportunities, collaborations, and knowledge-sharing. Attend regional conferences, webinars, and meetings to network with like-minded people, pick the brains of subject-matter experts, and keep up with the newest trends.

Build a Strong Portfolio:

Make a portfolio exhibiting your data science endeavours, contest submissions, and any more pertinent work. Potential employers may see your capabilities, capacity for problem-solving, and work experience through a portfolio.

Continual Learning and Following Industry Trends:

Data science is a rapidly evolving field. Stay updated with the latest trends, research papers, and industry practices. Follow influential data scientists, join online forums, and explore resources like blogs, podcasts, and research publications to stay informed.

Conclusion:

Embarking on a data science journey in Hyderabad requires a combination of foundational knowledge, practical experience, and active engagement with the community. By developing your skills in mathematics, programming, data manipulation, and machine learning, participating in projects and competitions, pursuing relevant courses, and networking with the data science community, you can kickstart your data science career in Hyderabad. Stay curious, embrace continuous learning, and leverage the city's thriving tech ecosystem to unlock exciting opportunities in the field of data science.

Become a Data Science and AI expert with a single program. Go through 360DigiTMG's data science offline course in Hyderabad! Enroll today!

For more information 

360DigiTMG - Data Analytics, Data Science Course Training Hyderabad 

Address - 2-56/2/19, 3rd floor,, 

Vijaya towers, near Meridian school,, 

Ayyappa Society Rd, Madhapur,, 

Hyderabad, Telangana 500081 

099899 94319 

Source Link :What are the Best IT Companies in Dilsukhnagar

Is Data Science a Dying Industry?

[perfectiongeeks]

How data science is changing Web Development?

Data science is becoming a vital component of web development in today’s digital age. With the abundance of data available on the internet, web developers are now incorporating data science techniques to create smarter and more efficient websites. This article will explore how data science is used in web development and the role of machine learning and artificial intelligence in this process. Data science is a field that involves mining, analyzing, and interpreting data to gain insights and insights from it. With the growing amount of data being generated by businesses and individuals, data science has become central to decision-making processes across various industries. For example, in web development, data science is used to optimize website design, improve user experience and improve website performance. recommendations, personalized content and personalized marketing messages. As a result, personalization can increase user engagement and lead to higher conversion rates. Another important application of data science in web development is search engine optimization (SEO). By analyzing search engine algorithms and user behavior, web developers can optimize the website content to improve search engine rankings. This can lead to increased website traffic and better visibility for businesses. Also, machine learning algorithms can be used to analyze search engine algorithms and predict changes in ranking algorithms. This can help web developers stay ahead and optimize website content accordingly. Machine learning is a subfield of artificial intelligence that uses algorithms to analyze data and identify patterns. Machine learning is used in web development to automate tasks, improve user experience, and personalize content. One of the key applications of machine learning in web development is chatbots. Websites use chatbots to provide customer support, answer user questions, and provide personalized recommendations. Machine learning algorithms can analyze user questions and provide relevant answers, improving user experience and increasing customer satisfaction.

Artificial intelligence (AI) is another major technology used in web development. Artificial intelligence involves the use of algorithms to simulate human intelligence and behavior. Web development uses artificial intelligence to automate tasks, improve user experience, and personalize content. One of the key applications of AI in web development is natural language processing (NLP). NLP involves the use of algorithms to analyze and interpret human language. NLP powers chatbots, voice assistants, and other AI-powered interfaces. Another important application of AI in web development is image recognition. By analyzing images on a website, AI algorithms can identify objects, people, and other elements. This can improve user experience, personalize content and optimize marketing campaigns. For example, by analyzing user behavior and preferences, AI algorithms can identify which images are more likely to capture the user’s attention and increase engagement.

[saintjosie]

i’m not humble bragging when i say im pretty and passing. i’m hot as fuck.

when i brag, i brag with my whole chest, and i don’t do it often. so let me brag for a minute.

i am an excellent photographer and i worked in professional photography and videography for almost a decade and have traveled all around the world to do so. left image taken in milan, right image taken in thailand.

i hold one of the top scores on rush pinball on record. 25th in the world last i checked and i got this score five months after picking up pinball.

i try new hobbies all the time and almost always pick them up at an insane speed. on the left, first time painting since high school on the right, first acrylic pour.

after two weeks learning archery, i shot a regulation 140, better than many hobbyists do after shooting for years. image taken from my first day of shooting and shooting at full range.

i’ve dabbled in makeup art. this was after three weeks of learning how to do eye shadow.

i can sing, play guitar, bass, piano, drums, can improvise on all of them except piano and i write, produce, mix, and master all of my own music. i started learning music production four years ago from online videos and have 100s of thousands of streams and am working on a full album. this was my spotify wrapped for 2023.

other miscellaneous things

i have a masters degree

i learned how to lockpick in seven minutes

i’ve been world top 500 demon hunter in diablo 3 multiple times

i cleared slay the spire on my first run

i have cleared every song on guitar hero 2 and 3 on expert 100% (yes even through the fire and flames), and could clear more than half of them either blindfolded, left-handed, or both. (not anymore tho lol)

i taught myself how to cook, i make up my own recipes frequently, i can improvise recipes using whatever is lying around, i can guess how to make a recipe without looking it up, and many people have told me that my cooking is the best thing they’ve ever eaten.

i took a data science bootcamp and then worked at a fortune 500 tech company for several years and i also turned down job offers from google twice.

strangers regularly come up to me and tell me i’m unrealistically gorgeous and that i have the best skin they’ve ever seen.

i’ve turned down several men in the mainstream music industry who tried to slide into my dms

oh and i can dance at bars, have a good time, AND look sexy while doing it.

so like 🤷‍♀️

[pandemic-info]

"Any chance we're wrong about Covid?"

It's a valid question many people earnestly think about — even the very cautious.

'it becomes important to ask: "what does the data actually say?"'

Quoting a few good answers from a thread:

"Covid left me disabled in 2020. I know with 100% certainty that I am not wrong about Covid. I live with the proof every minute of every day for the rest of my life."

"The insurance companies and government statisticians care, or rather they have taken an objective interest." > https://fred.stlouisfed.org/series/LNU01074597 > https://insurancenewsnet.com/innarticle/insurance-industry-coalition-forms-non-profit-to-study-excess-mortality

"There are parallels between how governments are responding to COVID-19 and how they responded to tobacco back in the day. “it would be a mistake to assume governments would automatically protect people from a public health threat in the face of more immediate economic considerations…there would be resistance to change that might be costly until evidence to justify it was overwhelming.”" > https://johnsnowproject.org/insights/merchants-of-doubt/

"I suspect most of us entertain this thought from time to time, especially when it’s this absurdly difficult and lonely to maintain a Covid Conscious lifestyle. But it’s important to remember that history is littered with people making terrible choices en masse: with handling past pandemics, the holocaust, slavery, witch burnings, etc. Hell pretty much everyone used to smoke and putting lead in everything was A-ok. Just because a lot of people believe something doesn’t mean they’re right. So it becomes important to ask what does the data actually say? The research and the statistical data on this subject paint an ugly but fairly quantifiable picture by which we can gauge our understanding of the situation and our choices in response to it. Read the science. Look at the data on things like Long Covid. There are also many of us who have already had our health absolutely ravaged by this virus or lost loved ones to it etc., and everyone in that position has first hand evidence for how dangerous this virus is. It’s tremendously difficult to swim against the current like we are and self-doubt is natural in those conditions, but that’s when seeking out factual information on the subject is the best course of action."

"But what it all comes back to for me is - say we're wrong, and covid is a big nothingburger and lockdowns are the root of all evil. Ok, well, what I'm doing is acting on the best information available to me at this time to protect my family. I can't regret that. I will always be able to look my kids in the eye and say "I did my best with what I had."" ... So if we're wrong - well, we wore masks, changed our social habits, reduced our consumerism and our contribution to the destruction of our planet, and reduced how often we got sick. None of those things are bad. If they're wrong, they and their kids are screwed. I'd rather err on the side of caution.

[winterr77]

ੈ✩ Habits for your academic life

Below are some habits and rules to keep in mind throughout your studies and some tips that will elevate your learning experiences.

☆ Setting boundaries and learning to say no

It is always easy to say yes and join every social event that one is invited to, however its crucial to consider your own personal life and the consequences of your decisions. Hanging out with friends is a needed event as a social creature, however it's better to exercise caution and know when to say "no" to focus on your own goals and dreams. Don't get pulled into the pace of others and focus on finding a routine and schedule that works for your own benefit.

☆ Being comfortable with your own company

You will find in uni that there are lots of times that you will spend alone, and maybe feel a little anxious that you're the only person who isn't constantly in the company of someone everyday like you maybe were in high school. However, realise that even the time to yourself is a time of value, and treasure those moments to focus and work on your own goals. It is easier to get lost and lose sight of your ambitions when with others who don't have the same aspirations as yourself. Use your own time to sit down and work out what you want to achieve and quietly put in the effort to win.

☆ Never being scared to ask questions

It can be quite daunting to ask questions in lectures, so I prefer to ask my questions during times that aren't forced into a short time interval, such as tutorials, office hours, and other forms of learning support that your university/college provides. This way there is no rush to answer my questions and take my time in working through concepts and ideas. Ask questions based on your own conclusions, questions that challenge current rules and perspectives. Think deeper into your lessons and seek to make use of every bit of information.

☆ Being curious

This is very much related to the point above, that being that personal interest really aids with the brains memory retention. The more things you approach with an enthusiastic attitude, the easier it is for your brain to remember and categorise. Having curiosity, even if it is forced, gives a great advantage where you seek to interconnect the information you learn with other data, and grow more networks of neurons that allows your brain to stay healthy and active.

☆ Initiating contact

Struggling with a theory or assignment? Great, it shows that you are actively trying to understand a concept and working your brain muscles. Now the best way to comprehend or complete what you are struggling with is to access support materials. Still difficult? Reach out. Your teachers, professors, tutors are all there for your benefit. Use them intelligently and squeeze every drop of assistance and support from them while they are still available to you.

☆Watching educational content to aid your studies

You can never lose from learning a bit more every day. However make sure to fact check and find your information from trusted and quality sources. In general, it's always a win to be educated in various topics from health, sciences, arts, humanities and more to gain a better understanding of ourselves, our world, and humanity.

For example, I watched a ted talk today, and here is my conclusions from my notes:

ੈ✩TedX: Why Reading Matters by Rita Carter

Summary:

☆Your brain needs a workout as much as your body. And reading fiction seems to be one of the best workouts you can get. (I recommend quality fiction, with that being classic literature because it genuinely exercises your mind with its intricate language techniques and diverse vocabulary)

☆Not only is it good for you, but it's also good for society as a whole because the brain is like a muscle: the more you force yourself through books to take other people's perspectives, to sympathise, to empathise with other people, the more empathetic a society we will have.

ੈ✩‧₊˚

good luck lovelies

~winter

ଘ(੭ˊᵕˋ)੭* ੈ✩‧₊˚

[sumaya432]

Building the World’s Greatest Companies

WE PROPEL THE WORLD’S BEST COMPANIES WITH DATA ENGINEERED TO DELIVER THE ABSOLUTE HIGHEST PERFORMING C-LEVEL AND BOARD LEADERSHIP FASTER THAN ANYONE ELSE. Recognized for securing Rocketship CEOs for Tech Giants and many of Silicon Valley’s original unicorns, Christian & Timbers is now re-engineering the next generation of executive search. Introducing Science Based Search For the first time the data transparency to know you will be selecting from the absolute best, highest performing Rocketship Leaders within days not months of initiating the search. TALENT MAPPING → TALENT PIPELINING Knowing the complete competitive candidate ecosystem at launch allows you the business intelligence and talent pipelining to always execute the optimum search strategy. PREDICTIVE LEADERSHIP - PROPRIETARY OUTREACH Our brand, command of language and multi-tiered outreach engines assures leadership trusted to deliver our client’s most critical high-performance business outcomes. UNCOMPROMISING LEADERSHIP HIRING MODEL Capturing the complete candidate universe, KPIs and an Uncompromising Leadership Hiring Model gives you the data transparency to always hire the absolute best. Winning the war for talent for over 40 years

Our experience, global reputation and deep relationships with the best leadership gives us access to the most sought-after Rocketship Talent around the world. The industry’s most advanced Talent Map Engineering adds to our expertise in every specialization.

We first specialized in Robotics, then semiconductor, becoming market leaders in every sector of technology. We are experts in each sector we focus today.

[iwamaye2]

Racing Hearts: Love in the Fast Lane / Toto Wolff x Reader / Prolouge

Hi!!!! Welcome. I finally decided to write a story after being on Tumblr for over a decade now. I am so excited to bring this to everyone who loves Formula 1 and Toto Wolff. This is an introduction to the reader and the reader is you!! so imagine them as anyone or even yourself!! However the reader is Christian Horners Daughter so there will be an age gap. What to expect in this chapter is going to introduce the reader, their first initial chemistry, and first conversation. Please enjoy and leave comments and suggestions!!!

The roar of engines filled the air, mingling with the scent of burning rubber and high-octane fuel. The paddock was a buzz with activity, engineers, mechanics, and team principals darting about, each focused on the upcoming race weekend. You had grown up in this world, as the daughter of Christian Horner, Red Bull's Racing Team's principal it was always a world of fierce competition, relentless pressure, and unmatched exhilaration.

As the daughter of a team principal, you were no stranger to the paddock. You had spent countless hours here, always observing, learning, and eventually earning your place in your father's company as a young and talented engineer for Red Bull. However, no matter how familiar you were with the sights and sounds, the thrill of race weekends never dulled.

Tonight, the atmosphere was different. There was a mix of tension and anticipation in the air. The sun was setting, casting a warm, golden hue over the circuit. Most of the team had already wrapped up their duties for the day, but you remained, engrossed on the data on your screen. The numbers and graphs were your world, and you were determined to ensure everything was perfect for tomorrow's qualifying session.

"Burning the midnight oil, are we?" A deep, familiar voice broke your concentration.

You looked up, startled, to see Toto Wolff, the imposing and charismatic team principal of Mercedes AMG Petronas, standing only a few feet away. He was in his early fifties, definitely more than twenty years your senior, but his presence was commanding, and his smile was warm.

"Mr, Wolff", you greeted, trying to hide your surprise. "Just going over some last-minitue data. What brings you here?" "Please call me Toto", he said with a charming smile . "I couldn't help but notice you've been working hard. It's not often I see someone from the Red Bull Team working so late in our part of the paddock". You couldn't help but smile back. "Well, I like to make sure everything's perfect. Besides, I enjoy the quiet".

Toto nodded, his eyes studying you with a mixture of curiosity and respect. "It's admirable. I've heard a lot about you, you know Christan speaks very highly of you." "Does he?" you asked, raising an eyebrow. "id imagine he docent have many kind words for anyone associated with Mercedes." He chuckled, a warm, rich sound that somehow put you at ease. "True, but family is different. And talent is talent, regardless of which team it's for."

You felt a blush creeping up your cheeks. "Thank you. That means a lot coming from you." There was a brief silence, filled with unspoken words and mutual understanding. It was then you realized that Toto Wolff, despite being your father's rival, was someone you deeply respected. And perhaps, there was more to him than just the fierce competitor you had always seen.

"Would you like to join me for a coffee?" he asked suddenly, breaking the science. "It's rare to find someone so dedicated, and I'd love to hear more about your work." You hesitated for a moment, aware of the implications. But then you'd thought, why not? This was an opportunity to learn from one of the best other than your father who's in the business. "Id like that," you replied, packing up your things.

As you waled towards the hospitality area, Toto shared stories about his early days in racing, making you laugh and think. You found yourself opening up about your own apparitions and challenges, and he listened intently, offering advice and encouragement. The more you talked, the more you realized just how much you had in common. You both shared a deep passion for racing, a relentless drive for perfection, and a desire to prove yourselves. There was an undeniable connection between you, one that went beyond the usual boundaries of team rivalry.

As the evening wore on, the conversation turned more personal. You found yourself sharing stories about your childhood, your relationship with your father, and your dreams for the future. Toto, in turn, spoke about his own journey, his struggles, and his triumphs. There was a vulnerability in his words that touched you deeply. The hours flew by, and before you knew it, it was late. The paddock was almost deserted, the only sounds being the distant hum of machinery and the occasional footsteps of a night guard.

you both stood up, reluctant to end the conversation. "Thank you for this, Toto," you said softly. "it's been..... enlightening." He smiled, a look of genuine warmth in his eyes. "The pleasure was mine. You're an impressive woman, I'm glad we had this chance to talk." There was a moment of hesitation, and then, almost on impulse, making sure nobody left that was in the paddock was looking or was able to see, you leaned in and kissed him. It was a brief, tentative kiss, but it held all the emotions you had been hiding. When you pulled away, Toto looked at you with a mix of surprise and affection. "I wasn't expecting that," he said softly, "but I'm glad it happened." You smiled, feeling a sense of peace, "me too."

From that moment on, your relationship with Toto blossomed. It wasn't always easy, balancing the rivalry between your teams with your growing feelings for each other, but you had made it work. You had found strength in each other, and together, you faced every challenge that came your way. In a world where competition was fierce and alliances were rare, you had found love and partnership in the most unexpected person and place. And as the engines roared and the races continued, you knew that no matter what, you and toto would always have each other .

CHAPTER 1: The First Test - TBA