Artificial Intelligence is all about identifying patterns and then delivering services that are customised and ensure a satisfying customer experience. And, one sector that needs this service desperately is banking. While some think AI is new, it has been driving the sector for long. The benefits of AI in banks and credit unions are widespread, reaching back office operations, compliance, customer experience, product delivery, risk management and marketing to name a few.
World’s largest technology players, Apple, Google and Accenture, have realised that Artificial Intelligence is and will be developed as the new User Interface. But, why?
In a recent event Accenture Technology Vision 2017, one of the most talked about trend was AI. One of the most important chapter discussed about how AI is the new UI. This is because with the developments AI will soon become the underlying technology capability that will drive enterprises and day-to-day working of people, alike. Interestingly, this will become a common platform for engagement between both customers and employees.
According to the speakers at the event, AI will be the new digital spokerperson for enterprises to interact with their customers. This platform will give customers to get a completely customised and personalised way of looking at the brand and interacting with it too.
A report suggests that in the 12 developed economies analysed, AI has the potential to double growth rates by 2035. This can only be achieved if the solutions are developed using the people-first approach that is business-oriented as well as technology-rich.
Ask how? Think talking to Google Now, interacting with chat bots on PCs, or even giving command to the automated home bots to operate your home. These are some of the easiest examples where people are interacting with the technology through an AI interface.
So, going further, it will be AI that we will be talking to, asking for things and giving commands.
Who will benefit?
This interface will not only prove to be a boon for customers, it will be an equally exciting for brands, too. Interestingly, it will expand the human-like interaction like never before. AI is already a curator, collecting and interpreting large amounts of data and then studying it using Machine Learning. Going further, manufacturers will depend on AI to keep a keen eye on the manufacturing and even delivering of products. Think about a system that tells you about upcoming weather updates, travel routes and even saved reminders for certain deliveries. All this will be held by a technology driven dashboard rather than a human mind or a book.
Hence, AI would turn into an advisor, too. “In the auto insurance industry, for example, adjusters use Tractable’s deep learning systems to simplify the triage process after a car accident. Instead of manually scanning pictures, they use machine-trained estimates for repair costs, enabling agents to accelerate a claim past triage and into repair, salvage, or appraisal,” a blog at Accenture reads.
The blog further reveals that in more advanced stages AI will become an orchestrator. It will bring together different channels, learn from the interactions and then create and execute new tasks.
This brings us to the understanding that AI, which is driven by Machine Learning, opens up new horizons for various industries to explore the technology. For those aspiring to be in the league of Machine Learning, new opportunities are waiting for you. And to give you a kickstart we have a 6-weekend training class. Held in our Bengaluru headquarters, these classes let you learn theory and put it to practice on live projects.
What’s more? There is a voluntary internship programme for those who complete the course. Work on our live projects and get real exposure to industry projects and corporate standards.
The world is being driven by technology and what is topping the charts is Artificial Intelligence. The technology which evolved back in 1959, it is now that the future has arrived. And, it is all set to revolutionise our day-to-day lives with gadgets that will operate on our command and as programmed.
But, what is it that drives this technology? It is machine learning. For techies this is the most exciting times to explore and develop a technology that knows no bounds.
After a successful training session held in January which saw a group of inspiring data scientists, we are back with a new session with additions. The new session will be an amalgamation of theory, lab sessions and also, exercises to have a hands on experience. So, if you are planning to give your career new wings in the field of data science and machine learning, your search ends here.
Here’s what you will learn:
- Part I: An indepth knowledge on R Programming
- A two-day break to practice R Programming & complete the Capstone Project
- Part II: An introduction to Machine Learning and Basic Statistics followed by Exploratory Data Analysis using R
- Part III: You will learn Modelling Concepts and Notations, Regression (Simple Regression, Multilinear Regression, Polynomial Regression), Classification (kNN, LDA, QDA, Logistic Regression, Support Vector Machines) and Model Assessment and Selection
- Part IV: Learn Trees and Ensemble Models (Bagging, Boosting, Random Forest) and Clustering Techniques (k-Means, Hierarchical Clustering, PCA)
- Part V: Be a part of a Capstone Project to put theory to practice.
Things you must know:
- The fee for the course that includes R Programming and Machine Learning is Rs 23,000+taxes. Special discounts for earlybird, referral and bulk registrations.
- The maximum intake per batch is 35.
- For those who want to pursue only R programming can register with us for the two day training at a price as low as Rs 6000 + taxes.
- Want to learn Machine Learning? Avail earlybird discounts and pay a fees of Rs 19,000 + taxes.
Machine Learning CourseGo hands on!
This time around after a feedback from our students from the previous batch, we are introducing an internship programme, too. For those who study this course and are in their post-graduation will now get an internship opportunity. This will allow them to work live on machine learning/data science projects. While a student can join this program for an additional cost of Rs 8,000, but, if your work is approved or used in any of the live projects, you could earn yourself a stipend as arrears.
Testimonials (January Batch)
“I was searching for Machine learning courses in Bengaluru and I came across Datalore Labs. I joined their Machine Learning course, since the agenda was excellent and the cost was reasonable. I got an opportunity to learn Machine Learning algorithms and R Programming in a single course, thanks to the highly dedicated and energetic team. I truly recommend this course for people who are passionate about Machine Learning systems.”
-Pavan BG, Senior Software Engineer, Robert Bosch Engineering and Business Solutions Ltd
Very experienced and knowledgeable faculty for Machine Learning and Deep Learning.
– Sanath Kumar, Associate Consultant, KPMG
The buzzwords that are talked about in one breathe and even used interchangeably. While many of us think that Machine Learning (ML) and Artificial Intelligence (AI) are same, that is not the case.
The two together make the base of Big Data, and hence, will be the wave makers in the world of futuristic technology.
Here let’s clear the air as to how ML and AI even if interconnected are completely different in their definition.
AI is a broader technology that is driving today’s “smart” world, on the other hand, ML is the current application which is driving the world of AI. So, in simple terms the best of AI is achieved using data that is read by ML.
AI in simple terms is the science where in machines exhibit human intelligence. A term coined in 1956, AI has come a long way in evolution. Then it was building computers with human intelligence, now it is powering bigger things, robots, homes, and even space projects. Moreover, this trend has been seen in movies since then, too. From Star Wars to Terminator and to Matrix, all showcasing AI in different forms. While the larger works are called General AI, the more personalised search, face recognition on Facebook and image classification on Pinterest are Applied AI.
Machine Learning comes in to being when we talk about Applied AI. It is an approach to achieve this form of AI. Why? Because ML is the basic practice of reading algorithms, learning from it and making predictions based on the readings. These algorithms form the core of Applied AI. Thus, ML brings down the efforts of human coding of software, rather instructions are set to accomplish a particular task and the machine is trained to use large amounts of data and algorithms. This gives the ability to the machine to learn and perform the task to perfection.
The world is divided into two when it comes to Artificial Intelligence or AI. While one side thinks that it adversely impacts the human race, the other is positive and upbeat about changing the world with this technology.
Amid this state of the debate, there are some tech giants that are ready to pump in their moolahs to explore AI and bring out its real potential for the human race and not against it. Interestingly, according to a report by CB Insights, almost 140 private companies working to advance artificial intelligence technologies have been acquired since 2011, with over 40 acquisitions taking place in 2016 alone.
Here are six such tech biggies who are betting big on AI:
Internet of Things is what was considered to be the hottest technology at CES 2016 or International Consumer Electronics Show and was anticipated to rule 2017 show, too. But, there was one technology that took away the show and that was Machine Learning. Infact, Machine Learning coupled with Artificial Intelligence stole the show this year.
Artificial Intelligence. It is not just a buzzword but is moving towards reality now. A reality that is making its way into our homes, our daily transportation and even at workplace.
Businesses worldwide have flourished and so have the countries. But, what is it that has been key to the growth? It’s a business strategy, a strategy that is formed on the basis of data collected overtime showcasing what has worked, what hasn’t and what will in the future. Data has always been the key to any planning, development and even completion of a project.