Dimension14 (D14), Decision-Making as a service, is a Dubai–based Artificial Intelligence company. The company provides a flexible and dynamic AI engine which solves the hardest optimization problems, helping enterprise to make better decisions in a short time.
The current solutions offered by Dimension14 (D14) is 1370 times faster than the previous solution used in one of the verticals it served, 3000 times faster and more efficient than the existing software of other verticals. D14’s solution is being used by leading companies who are in last-mile delivery, healthcare, higher education, governmental area and SMEs who need scheduling, prediction, and optimization solutions.
Melda Akin is the Founder of Dimension14. She studied BSc in Computer Engineering, and MSc in Intelligent Engineering Systems and worked as a software developer, system analyst, lecturer, project manager and director, and served as a board member at international leading tech companies. She set up D14 in 2017. As a founder, Melda is leading the D14 team to deliver the best AI solution for optimization and scheduling while having fun in what she does.
Melda believes that leaving one’s comfort zone helps to find themselves. She left her comfort zone by setting up her first company, digital transformation consultancy, in the UAE, after leaving her director and management member position in one of the biggest digital companies in Europe. Though it may sound a bit risky, Melda always asks who the risk taker is? Are the ones who sit on the comfort zones or are the ones who take the risk to leave that zone? She is a strong supporter of the second one. “When I told one of the board members that I wanted to leave my position, he was so surprised. He said to me that Melda you cannot do this, you’re 30 years old and you cannot get the same position again. I replied as I’m 30 now and holding a director and management member position in such a big company. Guess what I can do when I reach 40,” she recollects.
Once Melda was selected among 200 candidates as one of the best 8 female-founded start–ups in the Middle East and Africa region, she knew that the journey has just started. It is always day one. Following that, CNN International reached out to invite her to their ‘Follow that Start-up’ Program. Further, she was awarded by Standard Chartered Bank, and selected as one of the best 7 women in tech entrepreneur in Turkey by Microsoft. Melda was named as one of the top 100 Women Founders in Turkey according to their turnover. She also collaborated with the Cyber Defence and Ministry of Information Technology of the Kingdom of Saudi Arabia for delivering an AI and machine learning training program and was the first woman in the world to organize this training for women in the region voluntarily. She always asked this question, ‘What would I do if I was not afraid of’ like Spencer Johnson wrote in ‘Who Moved My Cheese?’ and she did it.
Speaking about challenges she faced, Melda says, “Being an entrepreneur is not an easy journey. There are lots of ups and downs, tears, sleepless nights, missing your loved ones, lonely days. You should know that before you move. And, you should be super focused, passionate and dedicated to what you have been doing. Nothing comes easy. Being alone, investing your time, your money, setting up a team from scratch, managing the expectations are just some of the challenges.”
Continuing with the discussion, Melda elaborates on the role of a transformational leader, “One of the leaders I follow told me that ‘fail fast; this is the key’. It’s okay to fail; it’s okay to let the project go if it did not work. Move fast by taking the right actions. Other than that, having high moral, ethical values, always following them, keeping team members inspired, coaching them to unlock their best versions, respecting everyone, and having fun while working hard is important.”
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Artificial Intelligence enhances the speed, precision, and effectiveness of human efforts. In financial institutions, AI techniques are often wont to identify which transactions are likely to be fraudulent, adopt fast and accurate credit scoring, also as automate manually intense data management tasks.
AI would have a coffee error rate compared to humans if coded properly. they might have incredible precision, accuracy, and speed. they will not be suffering from hostile environments, thus ready to complete dangerous tasks, explore in space, and endure problems that might injure or kill us.
1. AI goes to show your kitchen into a Michelin star restaurant
Smart kitchen appliances and smart speakers are making their way into kitchens all around the world. you’ll even have one now. Whether it is a coffee machine or an oven, these tools are evolving, learning your schedules and patterns so that they will provide you with warm food, coffee, etc. However, this is often just the start.
Your new smart fridge could also be ready to track when food is low and place orders for you when food is low. Or, better yet, AI might be wont to assist you to create the right meal with just the ingredients you’ve got within the refrigerator. Utilizing AI technologies with gastronomical learning, companies like Plant Jammer and Chefling are helping people create delicious food with the ingredients they need available. Currently, Facebook has developed an image-to-recipe generation system that permits users to reverse engineer a recipe by only taking an image of the dish.
2. The way you experience entertainment will change
Google Assistant, Cortana, and Alexa have already infiltrated your home, impacting the way you interact together with your TV and streaming services, allowing you to voice control almost everything; slowly making remotes obsolete. almost like the kitchen example, these devices are learning your watching habits, eventually directing you on what to observe. However, it’s getting to go much further.
3.You’re getting to have tons more fun together with your games
You may be proud of the gaming industry, or perhaps you wish to ascertain some major changes. Though a touch slower on the buyer side, there’s a change coming to the gaming industry, change driven by AI. Developers are using AI to make more immersive and realistic experiences, even within a fantasy world.
AI will better help developers create games that change on the fly, adapting to your gameplay. Even more so, if you’ve got old games that you simply would like remastered, AI is additionally getting used to enhance the general look of classic games. Finally, while reception, expect customized gaming experiences. If you want to learn AI and work practically then join the best Artificial Intelligence Training Institute in Noida and improve your skills now.
4. You’ll have your own Alfred soon
Maybe you usually wanted to possess a Jarvis AI system like Tony Stark? Or, perhaps you would like to travel the more traditional route and obtain yourself a loyal butler-like Alfred. Whichever the case, AI could make this possible via robotics. the world of robot personal assistants is an industry growing rapidly. Though some would simply dub the present models as just smart speakers with wheels, many of those current robotic personal assistants offer tons of impressive features. Soon, you would possibly have something that appears tons less like Wall-E and more just like the robots in iRobot
Robots like Jib are a little example of the approaching future. The social robot looks around, learning about you and your home. He even has an “expressive face.” He can even take pictures of you and share them on social media.
5. Enhanced health and fitness reception
Being able to watch patient’s reception with real-time data remotely, effectively, might be revolutionary. Going far beyond the Apple watch that you simply wear your wrist immediately, healthcare professionals could tap into the predictive powers of AI to work outpatients who are potentially in danger of disease or injury. This can give doctors tons more power but could alleviate a number of the pressure placed on the healthcare systems during flu season, saving lives. Companies like Gyant, Medopad, and Chonisense Medical are utilizing current AI technologies to seem after the elderly and chronic patients.
6. Your home will become more environmentally friendly
As humans, there’s no denying it; we will be wasteful, especially in our homes. However, having more control and knowledge of our waste and energy consumption could help us become more environmentally friendly, saving you money within the long-term. Though already available in some places across the planet, with products to get, AI energy-saving systems have yet to be fully adopted.
7. Your home is going to be ready to fix itself
The idea isn’t too far away. And, let’s agree home projects aren’t always the foremost exciting. Even more so, when something breaks in your home, you would like to repair it as soon as possible. a bit like a sensible medical device, homes are going to be ready to run self-diagnostics predicting potential issues before they occur, contacting the acceptable repairman, who may very well be a robot.
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Artificial Intelligence (AI) made headlines recently when people started reporting that Alexa was laughing unexpectedly. Those news reports led to the standard jokes about computers taking up the planet.
The AI Career Landscape
AI is returning more traction lately due to recent innovations that have made headlines, Alexa’s unexpected laughing notwithstanding. But AI has been a sound career choice for a short time now due to the growing adoption of the technology across industries and therefore the need for trained professionals to try to to the roles created by this growth.
AI and Machine Learning Explained
If you’re new to the sector, you would possibly be wondering, just what’s AI then? AI is how we make intelligent machines. It’s software that learns almost like how humans learn, mimicking human learning so it can take over a number of our jobs for us and do other jobs better and faster than we humans ever could. Machine learning may be a subset of AI, so sometimes when we’re describing AI, we’re describing machine learning join online machine learning course, which is that the process by which learn Artificial Intelligence course now!
The Three Main Stages of AI
AI is rapidly evolving, which is one reason why a career in AI offers such a lot potential. As technology evolves, learning improves. Van Loon described the three stages of AI and machine learning development as follow:
Stage one is machine learning - Machine learning consists of intelligent systems using algorithms to find out from experience.
Stage two is machine intelligence - Which is where our current AI technology resides now. during this stage, machines learn from experience supported false algorithms. it’s a more evolved sort of machine learning, with improved cognitive abilities.
Stage three is machine consciousness - this is often when systems can do self-learning from experience with none external data. Siri is an example of machine consciousness.
Subsets of Machine Learning
Natural Language Processing (NLP)
How to start in AI?
If you’re intrigued by this career field and wondering the way to start , Van Loon described the training paths for 3 differing types of professionals; those new the sector , programmers, and people already working in data science. He also points out that various industries require different skill sets, but all working in AI should have excellent communication skills before addressing the maths and computing skills needed.
Specific Jobs in AI
The Future of AI
As the demand for AI and machine learning has increased, organizations require professionals with in-and-out knowledge of those growing technologies and hands-on experience.If you would like to be one among those professionals, get certified, because the earlier you get your training started, the earlier you’ll be working during this exciting and rapidly changing field.CETPA provides Graduate program will assist you substitute the gang and grow your career in thriving fields like AI , Machine Learning, and Deep Learning.
If you’re curious about becoming an AI expert then we’ve just the proper guide for you. the synthetic Intelligence Career Guide will offer you insights into the foremost trending technologies, the highest companies that are hiring, the talents required to jumpstart your career within the thriving field of AI, and offers you a customized roadmap to becoming a successful AI expert.
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One technology that would rule the 21st century in terms of its use is Artificial Intelligence (AI). It is a self-learning machine that uses its experiences to correct itself for delivering better results to the user in every aspect of life.
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Artificial Intelligence has powerfully penetrated the way we live. It doesn’t only change the way we work but also reshaped how we used to live. Speaking of AI, it is one of the most interesting technologies that we’ve ever encountered.
Without a doubt, AI is contributing a lot in boosting business and IT productivity. Therefore, in this blog, I will highlight important insights on how AI is reshaping IT. Before digging deeper into details, let’s start with some basics on AI and how it works.
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Machine Learning as we know have evolved immensely in the last few decades. Thanks to the availability of huge computation power today at a fraction of the cost a decade ago. Today, ML applications can be seen everywhere, from predicting whether patterns, analyzing sentiment of user reviews, anomaly and fraud detection, self driving cars to helping farmers increase crop yield.
I would like to start with the broad definition of machine learning as put forward by Tom M. Mitchell “A computer program is said to learn from experience E with respect to some class of tasks T and performance measure P, if its performance at tasks T, as measured by P, improve with E”.
While doing it a Machine Learning or AI algorithm deploys many complex mathematical and statistical concepts in its quest for a better performance. However, broadly, the fundamental principles that a ML algorithm follows is something that we as a human being applies everyday in our decision making process. Problems in ML are solved by training a model (also referred to as an algorithm) on historical data (we can refer it to the term E(Experience) as mentioned in the definition ). During training the models performs the following :
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