Source:-techziffy.com Data Mining Software Market has witnessed continuous growth in the past few years and is projected to grow even further during the forecast period (2019-2026). The research presents a complete assessment of the market and contains Future trend, Current Growth Factors, attentive opinions, facts, historical data, and statistically supported and industry validated market data. The Scope Read More
Source:- atechnologymarket.com This data mining tools market research report predicts the size of the market with information on key vendor revenues, development of the industry by upstream & downstream, industry progress, key companies, along with type segment & market application. All statistical and numerical data mentioned in the report is symbolized with the help of graphs and Read More
Source:-darkreading.com As defenders increasingly use machine learning to remove spam, catch fraud, and block malware, concerns persist that attackers will find ways to use AI technology to their advantage. Machine learning continues to be widely pursued by cybersecurity companies as a way to bolster defenses and speed response. Machine learning, for example, has helped companies Read More
Source:- neowin.net Market Highlights Increasing demand for automation in various industrial sectors and rapid technological advancement are leading to the development of artificial intelligence technology and widening its application area. According to the report published by Market Research Future (MRFR), the global AI in aviation market is marked to expand strikingly at a CAGR of 46.83% Read More
Source:- infoworld.com A dataops team will help you get the most out of your data. Here’s how people, processes, technology, and culture bring it all together Have you noticed that most organizations are trying to do a lot more with their data? Businesses are investing heavily in data science programs, self-service business intelligence tools, artificial intelligence programs, and organizational efforts Read More
Source:- techcrunch.com Machine learning is the holy grail of data analysis, but unfortunately, that holy grail oftentimes requires a PhD in Computer Science just to get started. Despite the incredible attention that machine learning and artificial intelligence get from the press, the reality is that there is a massive gap between the needs of companies to Read More
Source: analyticsindiamag.com The NDA government has come into its new term with a renewed gusto towards analytics in the public sector. Recognising the disruptive effect that the upcoming AI wave will have on citizen’s day-to-day activities, the government has put it on a spotlight. One of the biggest needs for a healthy analytics ecosystem in any Read More
Source:- hbr.org Last year, U.S. companies spent roughly $90 billion on learning and development efforts, a sum higher than the gross domestic product of 130 countries. In 2018, the average American employee received training at a cost close to $1,000 per person. On its own that might not sound like much, but to put those numbers into perspective: for Read More
Source:- emerj.com Have you ever read a blog post or a whitepaper and heard the terms “data science” or “predictive analytics” used in ways that aren’t quite right? As it turns out, terms like these are often used incorrectly, but by the end of this episode of the AI in Industry podcast, you’ll have greater clarity Read More
Source:- marktechpost.com For some years, Artificial Intelligence (AI) and Machine Learning (ML) becoming part and parcel of modern business solutions. While both of these technologies are making huge strides by helping businesses with intelligent means to address customer demands, these technologies are also going through a rapid transformation. Incorporating AI and Machine Learning capabilities into modern Read More
Source:- forbes.com What is it about “big data” that resists definition? Today we have myriad competing definitions that each attempt to circumscribe just what it is we mean when we talk about the idea of using “big data” to understand the world around us. The notion that the size, speed or modality of data warrants Read More
Source:- towardsdatascience.com Every artificial intelligence(AI) problem is a new universe of complexities and unique challenges. Very often, the most challenging aspects of solving an AI problem is not about finding a solution but understanding the problem itself. As paradoxically as that sounds, even the most experienced AI experts have been guilty of rushing into proposing deep Read More
Source:- phys.org The challenge to analyze earthquake signals with optimum precision grows along with the amount of available seismic data. At the Karlsruhe Institute of Technology (KIT), researchers have deployed a neural network to determine the arrival-time of seismic waves and thus precisely locate the epicenter of the earthquake. In their report in the Seismological Research Lettersjournal, Read More
Source:- techrepublic.com Karen Roby talks with Columbia professor Sameer Maskey about the lack of trained AI talent and why he believes underserved communities may be the solution to the problem. Nearly every industry is using artificial intelligence in one way or another to improve business outcomes. AI holds great promise as new and exciting applications are Read More
Source:- forbes.com Since its founding in 1910, Japanese company Hitachihas been at the forefront of innovation with a philosophy to contribute to society through “the development of superior, original technology and products.” Today, Hitachi is a multinational conglomerate that offers operational products and services as well as IT-related digital technologies such as artificial intelligence and big data Read More
Source:- headstuff.org There’s a lot to say about how artificial intelligence will disrupt healthcare as we know it. Here’s a crash course in what AI and machine learning mean for healthcare today and what the future could look like for these technologies. Algorithmic Diagnosis, No Doctor Required In 2018, the U.S. FDA approved an industry first: Read More
Source:- forbes.com Machine learning is one of the cornerstones of artificial intelligence. If systems can’t learn, they can’t adapt or apply knowledge from one domain to another. And yet, machine learning is just a component of the overall goals of AI. Beyond machine learning, we still need ways to interact with the external environment, reason about Read More
Source:- builtin.com Gentlemen, start your web engines. The National Association for Stock Car Auto Racing, better known as NASCAR, has inked a deal establishing Amazon Web Services as its preferred partner for machine learning, artificial intelligence and cloud computing, according to a recent statement. In the works is a new AWS-powered video series on NASCAR.com called This Read More
Source:- viterbischool.usc.edu The Center for Intelligent Environments launches to advance human-centered building design and operation to increase well-being, safety, and even joy at work and beyond In the 1960s cartoon The Jetsons, the future was a world full of self-driving cars and sassy, meticulous robots. Individuals, like the patriarch George, could move through space—and the shower—without having to Read More
Source:- theindianwire.com “THE THING THAT’S GOING TO MAKE ARTIFICIAL INTELLIGENCE SO POWERFUL IS ITS ABILITY TO LEARN, AND THE WAY AI LEARNS IS TO LOOK AT HUMAN CULTURE.” -DAN BROWN Artificial intelligence(AI) is gradually making its way into business software and will continue to do so for the foreseeable future. Artificial Intelligence software is now being utilized Read More
Source:- nasdaq.com International Business Machines Corporation IBM recently updated Watson Studio with AutoAI capabilities. As the name suggests, AutoAI enables enterprises to automate complex arduous processes, comprising optimizing, designing and other related tasks by leveraging robust AI capabilities. Markedly, innovation in machine learning (ML) and improvement in data set quality drives development of AI tools. IBM rolled out Read More
Source:- helpnetsecurity.com Wipro, a leading global information technology, consulting and business process services company and Moogsoft, a pioneer and leading provider of artificial intelligence for IT operations (AIOps), announced a partnership. Wipro will leverage Moogsoft’s industry-leading platform to deliver next-generation artificial intelligence for IT operations (AIOps) solutions for its customers. Moogsoft’s AIOps platform, powered by purpose-built Machine Read More
Source:- .siliconrepublic.com We spoke to EY’s Eoin O’Reilly to find out more about how the data analytics role has changed in recent years. At this stage, referring to data as ‘the new oil’ has been rendered a cliché, but it nevertheless rings enduringly true. In an increasingly digital world, data can completely change the way organisations Read More
Source:- analyticsindiamag.com Organisations across the sectors are doubling down on advancing analytics and automation and driving maximum impact from their investments. However, they face a critical challenge in terms of talent. At times, roles need to be redefined as per the business requirements and achieve benefits from their data analytics efforts. As per our latest Jobs Read More
Source:- electronicdesign.com Machine learning (ML) isn’t a replacement for conventional programming, but it’s one more tool that developers have available when creating solutions. Unfortunately, the scope and variations of ML are complex and changing continually as designers refine existing methodologies and develop new ones. This would be less of an issue if the changes weren’t occurring Read More
Source:- roboticstomorrow.com Deep learning is capturing the attention of all of us as it is accomplishing outcomes that were not previously possible. Deep learning is a machine learning technique that teaches computers to learn by example just as we learned as a child. We see this technology in autonomous vehicles. It enables the vehicle to distinguish Read More
Source:- itworld.com A service mesh brings security, resiliency, and visibility to service communications, so developers don’t have to One of the shifts occurring in IT under the banner of digital transformationis the breaking down of large, monolithic applications into microservices—small, discrete units of functionality—that run in containers—software packages that include all of the service’s code and dependencies that can Read More
Source:- aljazeera.com What do a Yemeni refugee in the queue for food aid, a checkout worker in a British supermarket and a depressed university student have in common? They’re all being sifted by some form of artificial intelligence. Advanced nations and the world’s biggest companies have thrown billions of dollars behind AI – a set of computing practices, including machine learning that Read More
Source:- analyticsindiamag.com 1| Natural Language Processing About: This online course covers from the basic to advanced NLP and it is a part of the Advanced Machine Learning Specialisation from Coursera. You can enroll this course for free where you will learn about sentiment analysis, summarization, dialogue state tracking, etc. The topics you will learn such as introduction to Read More
Source:- fairobserver.com With robots and artificial intelligence destined to take over the economy, does anyone have an idea of how a truce might end the war between man and machine? Wired features an article with the title, “Inside the Amazon Warehouse Where Humans and Machines Become One.” The author, Matt Simon, reveals in careful detail how Amazon’s robotic Read More