Machine Learning and Data Science is one of the hottest topics of all the disciplines these days. It has created a lot of interest among the people. Machine Learning has immense potential and we keep seeing a lot of jaw dropping accomplishments day by day. Here I’ll share my understanding of the field and what would it take to make a career in Machine Learning/Data Science.
Artificial Intelligence has made its way to every field possible, steamrolling the processes along its way. One such field is healthcare. They say healthcare is a field that is not very rules based and a successful doctor is the one who leverages his/her experience to deal with complex and unseen cases. However, there are many low hanging fruits that are already being plucked by AI. This trend is being fueled by increasing digitization in healthcare data and advances in new algorithms. In this piece, we intend to give you a sneak peek into how AI is leading to improved healthcare for humanity. Below are some key examples of research areas and applications.
The US House of Representatives has given the green light to the Blockchain technology, advocating that the new-era innovation be implemented as a “national policy for technology to promote consumers’ access to financial tools and online commerce to promote economic growth and consumer empowerment.”
If I had a penny for every time I’ve heard “data doesn’t lie”…
For those of us who have the ever exciting and growing task of working with Big Data to help solve some of organization’s biggest inefficiencies, questions, or problems, perpetuating bias is a way too easy-to-make mistake, and we should all be familiarized with it by now.
For everyone else, here’s what going on:
If you are new to the field, Big Data can be intimidating! With the basic concepts under your belt, let’s focus on some key terms to impress your date, your boss, your family, or whoever.
Work is not what it used to be. The very concept of work has evolved considerably over the centuries, as newer technologies have become integrated into how we function individually as well as a society.
People ask me frequently, “Please tell me, what is blockchain and how does it work?” I have been using various approaches and media answering this question, whiteboards, paper and even beer-coasters, and recently created a single page canvas combining all my scribbles and drawings to answer this question. This works very well, with great response and I like to share it including the story that goes with it. Maybe it is somewhat technical but most people follow the explanation quite well and really feel that they have learned something.
The Experfy insights provide cutting-edge perspectives on Big Data and Analytics. Experfy’s unique ability to focus on business problems enables them to provide insights that are highly relevant to each industry. With its certification for Big Data Analysis and Big Data Science, Experfy can make you a master in these fields.
Digital transformation is a comprehensive process affecting every aspect of your organization. Are CLOs ready to re-invent themselves to upskill their employees?
The blockchain is a collection of technologies, just like bricks used in a construction. You can choose different bricks to place them collectively in various forms to produce your desired construction results. Similar is the case with the blockchain technologies. Like the use cases of bricks are many, the blockchain application use cases are many.
Blockchain lately has created enormous technological excitements driving far-fetched developments in the world. It all started with the creation of Bitcoin and other cryptocurrencies, or digital currencies.
Few industries are as primed to be radically improved by Machine Learning as the Telecoms industry. About 1.5 trillion U.S. dollars is forecast to be spent globally on telecom services in 2018.
According to a new report by PwC, Artificial Intelligence will contribute as much as $15.7 trillion to the world economy by 2030. That's more than the current combined output of China and India.
Though you probably do not realize it, sophisticated algorithms are already dominating our everyday life, through traffic lights, train schedules, your Facebook newsfeed, and more. An area of algorithmic dominance that often goes unnoticed is in the stock market. These trading algorithms are reshaping the way trading is done on Wall Street. Investors are using algorithms designed for trading to bring greater efficiency to financial markets, and at the same time push us into uncharted financial territory.
By putting into practice the ideas you learn and read about, you can sharpen your technical skills, and develop a critical thinking mindset and creativity to succeed with algorithmic trading.
Today's customer wants a smooth shopping experience in what, where, when, and how he wants to buy irrespective of the retail environment whether it is a physical shop or a digital one. And it is the Internet of Things that is bridging this gap in providing the seamless retail experience to the customer.
The industrial Internet of Things, known as the Industry 4.0 or the Fourth Industrial Revolution, has become a buzzword for automating the smart manufacturing process. It is shaping the future of smart and intelligent manufacturing. No matter what you call it, this connected or smart manufacturing has become all pervasive.
Internet of Things is concerned with the connectivity of devices and sensors, and multiple other sources and services linked to them. It is continuously pushing our society and industries to new heights. These devices, sensors and other connected sources emit enormous and dynamic structured, unstructured, semi-structured and behavioral data in real time, which in itself is raw. This data needs to be churned out to derive actionable insights to improve things connected by IoT and drive overall productivity.
IT services in India is highly vulnerable to the next phase of technological disruption in automation and AI as novel capabilities such as self-repairing code reduce the need for the large-scale deployment of cheap IT professionals. India is likely to witness a crisis like the one it has never seen before.
Experfy announced today that it has been named a "Cool Vendor" in Data Science and Machine Learning by Gartner. The analyst firm recognized Experfy as an important player that "can help data and analytics leaders bring the full data science and machine-learning spectrum to their organizations."
Given the high costs of industrial assets, extending their life cycle by harnessing the power of prognostic analytics for predictive maintenance is essential to maximizing your return on this substantial investment. Leverage your industrial data to lower maintenance costs, increase safety, raise productivity, and improve profits.
Tableau and Power BI offers different advantages and disadvantages in comparing BI solutions. However, need for a Business Intelligence solution for an enterprise depends on the nature and demands of its business niche, size, type and workforce necessities and customer segmentations it caters.
The retail value chain is impacted by Big Data in many profound ways: retailers use Big Data to collect data on their customers so that they can better serve them and market themselves to them; they interact with payment systems whose information must be secured against sophisticated threats; and their logistics and operations can be markedly improved by using Big Data effectively.
The IoT is about a world in which physical objects ranging from gas turbines to mobile phones and television sets are connected to the Internet. That connectivity imbues these devices with intelligence and enables them to collaborate with each other and with people to adapt to the contexts in which we live, work, and play.