How do you combine historical Big Data with machine learning for real-time analytics? An approach is outlined with different software vendors, business use cases, and best practices. Big Data has gained a lot of momentum recently. Vast amounts of operational data are collected and stored in Handoop and other platforms on which historical analysis is conducted. Business intelligence tools and distributed statistical computing are used to find new patterns in this data and gain new insights and knowledge for a variety of use cases: promotions, up- and cross-sell campaigns, improved customer experience, or fraud detection.
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Chatbots are helping businesses in revolutionizing the communication space. A simple yet an effective tool - Surbo is a bot generator platform that develops and empowers chatbots to execute user intents across industries and trigger actions successfully while delivering a seamless user experience
Source: HOB234
There has been much speculation about the power and dangers of artificial intelligence (AI), but it's been primarily focused on what AI will do to our jobs in the very near future. Now, there's discussion among tech leaders, governments and journalists about how artificial intelligence is making lethal autonomous weapons systems possible and what could transpire if this technology falls into the hands of a rogue state or terrorist organization. Debates on the moral and legal implications of autonomous weapons have begun and there are no easy answers.
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Constant feedback has come up as a way of working in numerous businesses and it has given an ascend to basically two kinds of apparatus one that aids you to confine worker feedback on a regular basis, while other tools that help you provide feedback to employees via continuous performance feedback.
Source: HOB96
Consumers choose brands that demonstrate their personal ethos. Customers get attracted to companies which are focused on real-time communication and which creates interesting content. To save your real customers, you must invest in digital marketing. Digital Marketing has played a vital role to portray the success of an organization.
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In the professional sphere, it's important to let go of the tools and traditions that no longer suit you. Every business leader knows that in order to stay relevant and profitable in their particular industry, it's important for their companies to adapt to changing practices, technologies and business models. With the incredible advancements in Artificial Intelligence (AI) that developers have created in recent years, companies are constantly on the hunt for the latest, cutting-edge software that will help them maintain their role as a leader in their industry.
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It all started when futuristic technologists started to code 'Assembly'. This allowed them to build programs which they now wanted to run at tremendous speeds.
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Natural language processing is expertises that combine big data and artificial intelligence mutually. Nowadays visitors have options like to order delivery and meal kit services that threaten to disrupt margin-accretive dine-in business. And as, a deep understanding of guest expectations is more significant than ever ahead of.
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With over 1.3 billion monthly and 1 billion daily users, WhatsApp has been operating at a massive scale for quite some time. Having done away with user subscription fees and being adamantly opposed to any advertising model to-date, we have all been waiting for the other shoe to drop in Whatsapp's quest for monetization. Until now, the newly introduced WhatsApp Business Accounts reveals what could finally be a real monetization plan: to continue growing by enabling business to communicate with their clients.
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The Indian new age tech startups may soon be on their way to blend their tech algorithms for ML (Machine Learning ) and AI (Artificial Intelligence) with the ancient 'Sanskrit' language. During the 17th convocation of the Shri Lal Bahadur Shastri Rashtriya Sanskrit Vidyapeetha in New Delhi, President Ram Nath Kovind sharedthat "many scholars believe that the grammar of Sanskrit, which is rule-bound, formula-bound and logical, is the most appropriate to write algorithms, or to be used in machine learning and even artificial intelligence."
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With the introduction of far-reaching and robust technology, the job market has experienced its own exponential growth, adaptation, and semi-metamorphosis. So much so that it can be difficult to guess what skills employer's are looking for and what makes your resume - and not another - stand out to recruiters.
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Generally, when we think of blockchain technology, our first thoughts turn to the idea of finance, security, and cryptocurrency. Would many folks don't understand blockchain can have incredible power in a number of other industries as well like in marketing, blockchain protocols are being introduced that can help advertising budgets stretch further and change the way that professional marketing companies are working every day.
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Artificial intelligence (AI) have become more significant in the recent years and its use is continually increasing. Many companies are still struggling to embrace AI because of the fear of the unknown aspects and misunderstanding about how it functions.
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Artificial intelligence could verify to be a self-running growth engine for the health care sector in the not-so-distant future. A recent report from Accenture studied the "near-term value" of AI applications in health care to determine how the potential impact of the technology stacks up against the upfront costs of application. Results from the report projected that AI applications in health care could save up to $150 billion annually for the U.S. health care economy by 2026.
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NTT Corp has developed an artificial intelligence system that can examine for picture books based on children's likings and language aptitude. By putting information into the system, such as the kind of drawings that a child likes, their age and other data, it will recommend a list of suitable picture books.
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Deep Learning is changing the way we look at technologies. There is a lot of excitement around Artificial Intelligence (AI) along with its branches namely Machine Learning (ML) and Deep Learning at the moment.
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The food technology sector is under a boom. The recent developments in the industry where we have seen new players and the existing players working towards the technology. India has seen a lot in the recent times, from food apps to new techs and satisfying consumer need with the latest technology usage.
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Machine Learning has established incredible supremacy to humans. The power to run tasks in automated manner, the power to make our lives easy, the power to improve things endlessly by studying decisions at large scale . And the power to create species who think better than humans.
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Biometric expertise has been introduced at LAX Airport in Los Angeles, at least temporarily and the Transportation Security Administration launched a three-week trial to experiment with how facial recognition could speed up the security process. a lot has already been introduced and a lot is still in progress. this just shows that travel is under a whole new technology revolution in recent times and the coming days also.
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In the past few years, I have met up with a lot of employers and conducted interviews for training program. Through the conversations and interviews and seeing the end results, I thought I will share more on how to prepare for your resume and even the interviews for a data science role.
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One should rather have an empowered, trained end user than an end user who relies on the organization for their protection. Mistakes will be made, and immediate follow-up training should be done, but practicing their cyber security skills at home will make those mistakes few and far between.
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I recently made a Batman analogy when discussing the topic of data science with some colleagues. In this post, I will explore this analogy further.
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Big Data have been heard for some time now. The concept of Big data is continually evolving and being reconsidered, as it remains the driving force behind many ongoing waves of digital transformation, including artificial intelligence (AI), data science and the Internet of Things (IoT). The data which is unstructured, time-sensitive or immense cannot be processed by relational database engines. So, this type of data requires a different processing approach called big data, which uses massive parallelism on readily-available hardware.
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How plentiful are machine learning jobs in 2018? originally appeared on Quora: the place to gain and share knowledge, empowering people to learn from others and better understand the world.
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Chatbots are the talk of the business world now. The arrival of chatbots have opened up new dimensions to customer engagement and new ways of doing business in the form of conversational commerce. They are one of the most useful technologies that businesses rely on.
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Simulating human reasoning was the main reason but now it has been broadened to include all other forms of Artificial Intelligence. Much of the recent hype has been learn about Machine Learning that leads to predictive behavior and analysis for enterprises. Slowly, one of the most complex forms of AI, deep learning is also gaining momentum. The neurons in the human brains can connect to other neurons anyhow without any specific pattern. But neural networks using machine learning are a replication of the brain network and consist of more defined connections. Deep learning is a far more complex technology and addresses only elementary problems like text mining, language translation or image recognition.
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Artificial intelligence is one of the highest demanding fields. It includes general AI, expert systems also known as data mining, machine learning, Neural Network and lastly, fuzzy systems. These have been essential and interesting topics among the students, scholars, faculties as well as professionals.
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Deep Learning is the newest trend coming out of Machine Learning, but what exactly is it? And how do I learn more? With that in mind, here's a list of 8 free books on deep learning.
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It is vital to have a good understanding of the mathematical foundations to be proficient with data science. With that in mind, here are seven books that can help.
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This article covers why it's important to consider all the factors when being hired as a data scientist.
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Results from the Kaggle State of Data Science and Machine Learning survey of data professionals revealed that job satisfaction varies widely across job titles. Data professionals who reported the highest level of job satisfaction were: 1) Machine Learning Engineers, 2) Data Scientists and 3) Predictive Modeler. Data professionals who reported the lowest level of job satisfaction were: 1) Engineers, 2) DBA/Database Engineers and 3) Programmers.
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One of government's most important functions is managing its citizens' most personal and private information everything from birth certificates, to real estate transactions to educational records to wills and more. Keeping this data safe is vitally important, and blockchain is poised to help government manage data more effectively, quickly and securely.
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Artificial Intelligence(AI) & Machine Learning(ML) have been a part of our day-to-day activities. Due to heavy investment in this sector, we can see accelerated development in technology today. AI has made it possible for machines to learn from experience, adjust to new inputs and perform human-like tasks.
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I recently completed a course on NLP through Deep Learning (CS224N) at Stanford and loved the experience. Learnt a whole bunch of new things. For my final project I worked on a question answering model built on Stanford Question Answering Dataset (SQuAD). In this blog, I want to cover the main building blocks of a question answering model.
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I decided to give myself the challenge of seeing if I could teach a machine learning model to detect the difference between Onion articles (and other satire) and real news articles in less than an hour.
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Student demand for degrees in the subject soars as employers seek skilled analysts
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I still learn new knowledge everyday with my growing passion in Data Science field. To pursue different career track as a graduating physics student there must be 'Why' and 'How' questions to be answered.
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Data science requires the effective application of skills in a variety of machine learning areas and techniques. A recent survey by Kaggle, however, revealed that a limited number of data professionals possess competency in advanced machine learning skills. About half of data professionals said they were competent in supervised machine learning (49%) and logistic regression (53%).
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