AWS vs Google Cloud Modern technological developments have dramatically improved the ways in which businesses are able to operate. Significant improvements on online platforms have allowed companies to grow and provide functions at reduced costs. This has allowed for businesses to make strides in advancements and continue to progress. Amazon Web Services (AWS) and Google Cloud (GCP) are both […]Read more
You must be familiar with the Will Smith movie, “I Robot”. We had seen robots taking over humans in it. And how did they do it? Yes, by Artificial Intelligence (AI). Would it really happen to us? Well, that is a question for which I do not have an answer. AI is now a progressing technology that humans are now trying to develop and incorporate in our mobile phones.
Combining Machine Learning (ML) and AI, our smartphones are going to become one smart device that will know us better than our friends or even us (just joking, but I do see that could happen)!
At the first instance, it would only be proper to explain Artificial Intelligence briefly. AI can at best be considered a facility of the machines to be independent of the human operator. It introduces a fair bit of autonomy in the working as compared to the older systems that needed complete human control. The part where AI comes into its own in the repetitive tasks which can have an element of predictability as such.
However, the future of AI holds promise in that it is being used to bring out machines that are entirely free of a human controller and can get to function much better than the human thinking ability. It is still very much early days in the use and development of the AI capabilities, and compared to the humans there still needs to go a long way in developing machines.Read more
2018 is a year full of surprises, and we have seen advancement and changes occurring in e-commerce, as well. Artificial Intelligence is really taking over the world. AI is everywhere now, particularly in the eCommerce sector. And this article is focusing on four leading e-commerce firms and their use of AI.
In the April 2017 letter, Bezos Amazon CEO, says:
“Big trends are not that hard to spot (they get talked about and written a lot), but they can be strangely hard for large organizations to embrace. We’re in the middle of an obvious one right now: machine learning and artificial intelligence.”
“Artificial intelligence will revolutionize how businesses compete and grow, representing an entirely new factor of production that can ignite corporate profitability,” said Paul Daugherty, chief technology & innovation officer, Accenture.Read more
Artificial intelligence is never again going to remain the mystery sauce of giant technology companies. Google laid out how it is bringing artificial intelligence to developers, as well as integrating more AI capabilities throughout its cloud products. So developers can utilize these AI cloud services to give the best user experience.
Google I/O 2018 kicked off with a key theme of AI for everyone. In the current year’s I/O, Google exhibited that AI cannot simply help to make items more valuable, they additionally rethink to cool new user experiences. Here is a brief synopsis of Google’s featured declarations made so far on AI, that may intrigue developers and businesses.Read more
Digital transformation is currently taking over the healthcare industry to bring forth high-quality and innovative care with an exceptional digital user experience. And it is transforming everything in healthcare processes and procedures to optimize the industry services.
Now the industry is all set to make a digital revolution that drives the new waves of medical innovation. In a way to revolutionize patient care with a deeper understanding of patient necessities along with remote monitoring and real-time access to electronic medical and personal health record.
Here, we are going through three digital transformation trends that healthcare organizations simply cannot afford to miss:Read more
Data science is all about capturing data in an insightful way where Machine learning is a key area of it. Data science is a fantastic blend of advanced statistics, problem-solving, mathematics expertise, data inference, business acumen, algorithm development, and real-world programming ability. And Machine learning is a set of algorithms that enable software applications to become more precise in predicting outcomes or take actions to separate it without being explicitly programmed.
The distinction between data science and machine learning is a bit fluid, but the main idea is that data science emphasizes statistical inference and interpretability, while machine learning prioritizes predictive accuracy over model interpretability. And for both data science and machine learning, open source has become almost the de facto license for innovative new tools.
Are you planning a machine learning or data science project and confused between Python and R? Both are open-source, free and develop robust ecosystems of open source tools and libraries that help to perform analytical works more easily. So, let’s have a look at whether Python or R, is better for data science considering machine learning and artificial intelligence as included in the term data science.Read more
Big data and AI has been a buzzword floating around the digital space for a few years, a concept that is murky to some and not understood at all by others. As the convergence of trends redefining the IT industry, Big Data and AI is no longer something that only remains in books and sci-fi movies, these changes are more embracing the e-commerce industry with agility and diligence. Now, the tech buffs are eyeing an iconic change to evolve by the combination of big data and AI.
E-commerce is a dynamic sector with a basic goal to bring the best of offline shopping experience to the online space, by offering the shoppers a seamless way to discover the products they are looking for. Big data and AI are going to the most intriguing development ever made in this field. How Big Data and Artificial Intelligence (AI) plays the crucial role in the eCommerce platform. So, let’s have a look at how Big data and AI transforms the e-commerce industry.Read more
The potential to recognize and use data insights to strategize services, solutions, and the shopping experience as a whole is significantly critical in this data-centric world. Today’s leading organizations are adopting deep learning to analyze documents and images connected to a large database, identify speech or gestures, translate voice in real time, predictions with past information, and more.
Deep learning is a subset of machine learning making use of algorithms with speech, images and text in a more effective and efficient fashion to recognize, identify and understand patterns in the data as like human brain performs. For instance, Apple, Google, and Microsoft make use of deep learning in their image and speech recognition algorithms, while Netflix and Amazon utilize it for analyzing and influencing consumer decision making. Prepare your business’s future by taking a look at some revolutionary use cases of deep learning:
Deep learning is treated as the most significant breakthrough in the field of pattern recognition. Deep learning allows organizations to monitor and process a multitude of things like, information on what are the trends in the marketplace, how many times users contact customer service, and how long do they engage on a given App/website, to create an insightful narrative about shopping habits and preferences to use across the business.Read more
On the verge of becoming even smarter and more competent, machine learning re-imagine the entire app creation and marketing playbook. Certainly, Machine Learning is driving a new generation experience that transforms applications and services in a way how people prefer and value.
Machine learning is a cool topic if you are interested in building kick-ass apps with intelligence that includes features such as natural language processing, prediction, face detection, speech recognition or anything like that. From Virtual Assistants to traffic predictions, machine learning is refining the conventional way of tasks performance along with smarter pieces of stuff to enhance the experience.
As it’s not an easy option to develop a machine learning system from the scratch, a number of machine learning frameworks are available for developers to make intelligent apps. There are many open source machine learning platforms with on-device processing, without big data, and just a few lines of code. So here we bring up the best machine learning frameworks that can aid developers to get things done in a very convenient way in smart application development, for both, web and mobile.Read more