Source: tribune.com.pk LAHORE: The future belongs to nations that excel in imminent technologies such as big data, artificial intelligence and robotics, said The Urban Unit CEO Khalid Sherdil. Sherdil told The Express Tribune that following adoption of big data by entire countries, a digital divide would emerge in the world. This digital divide would separate Read More
Tag: data
Source: newindianexpress.com BEIJING: A man who had travelled to Wuhan — the central city at the heart of China’s coronavirus crisis — was surprised when police showed up at his door after he returned home, asking to check his temperature. The man, who had quarantined himself at home in Nanjing, eastern Jiangsu province, said he Read More
Source: techannouncer.com Artificial intelligence, or AI, has undoubtedly been the 2019 buzzword in financial services. While not new – the term “artificial intelligence” was coined in 1956 – AI is seemingly becoming the future of everything. The hype around its potential is certainly justified economically. According to a recent report by Autonomous Next, the cost Read More
Source: governmentciomedia.com The Government Accountability Office identified to lawmakers potential use cases for machine learning in drug development to help drive efficiencies and cost savings. The Food and Drug Administration has been tracking the use of artificial intelligence in drug development. Although the FDA does not currently have a regulatory policy around machine learning in drug development, GAO Read More
Source: news.berkeley.edu UC Berkeley’s new interdisciplinary division, launched in November 2018 under the provisional title of Division of Data Science and Information, now has a permanent name: the Division of Computing, Data Science, and Society (CDSS). The moniker, announced today (Feb. 5) after input and nominations from across campus, was chosen to reflect the broad span of Read More
Source: thenextweb.com RealityEngines.AI today came out of stealth to launch an autonomous AI generation service aimed at startups and medium to large enterprises that have put off adopting AI due to a shortage of data or personnel. What’s interesting here is the that the company’s taken on the data gap between big tech and wee Read More
Source: information-age.com Microservices are a way to build applications based on small components that are used for specific requirements. IDC has predicted that 90 percent of applications will use microservices architectures by 2020. Many of the world’s largest brands, including Google, Netflix, and Uber have either moved or are migrating to a microservices architecture approach. Rather than Read More
Source: forbes.com “They say that ‘data is the new oil’ because it’s the world’s most valuable commodity,” says Matthew Jafarian, Miami Heat Executive Vice President of Business Strategy, “and we collect a lot of it.” Jafarian and Edson Crevecoeur, Miami’s Vice President of Strategy and Data Analytics, lead a small, in-house group of innovative minds Read More
Source: thenextweb.com No other technology was more important over the past decade than artificial intelligence. Stanford’s Andrew Ng called it the new electricity, and both Microsoft and Google changed their business strategies to become “AI-first” companies. In the next decade, all technology will be considered “AI technology.” And we can thank deep learning for that. Read More
Source: therobotreport.com The Robot Report spoke with the following executives at robotics and artificial intelligence companies about their observations of 2019’s trends, as well as their expectations for the new year: Sudhir Jha, senior vice president and head of Brighterion Inc., a Mastercard company that uses artificial intelligence and machine learning to provide mission-critical business Read More
Source: mashable.com If you thought data science was just a trend that would come and go like the Juicy sweatpants or flat-billed cap you practically lived in throughout the 2000s, then you are sorely mistaken. Data influences nearly every aspect of your life, from playlists recommendations on Spotify, to Alexa’s answers, to the skincare products Read More
Source: techcrunch.com DataRobot, a company best known for creating automated machine learning models known as AutoML, announced today that it intends to acquire Paxata, a data prep platform startup. The companies did not reveal the purchase price. Paxata raised a total of $90 million before today’s acquisition, according to the company. Up until now, DataRobot has concentrated mostly on Read More
Source: capgemini.com Manufacturing enterprises have been focused on the operational transformation pillar which in almost all cases refers to making supply chain and manufacturing operations more efficient by leveraging capabilities arising out of IoT, IIoT, and AI. The visionaries in Manufacturing however have also concentrated on transforming their business models from a sell model to Read More
Source: techxplore.com Most deep-learning algorithms perform well when trained on large sets of labeled data, but their performance tends to decline when processing new data. Researchers worldwide have thus been trying to develop techniques that could improve the ability of these algorithms to generalize well across both new and previously processed data, enabling what is Read More
Source: moneycontrol.com Data science is one of the fastest growing industries in the country today. The growth of data and the advancements in technology have contributed to this unprecedented growth over the years. However, more than 60,000 Machine Learning jobs are vacant in India currently, according to various industry reports. The landscape of the tools Read More
Source: techhq.com If 2019 taught us anything, it was that every technology vendor, large and small, had to have a stance on Artificial Intelligence (AI) and the software automation advantages it can deliver. Some vendors got so excited about AI and the Machine Learning (ML) that allows intelligence engines to get smarter, they forgot to Read More
Source: indianexpress.com “This (AI) is about augmenting human intelligence. When you step back and look at AI, yes there is hype, it will replace all jobs. We say look that’s not the right way to approach it. The correct way to say is that this set of artificial intelligence technologies will augment and assist humans Read More
Source: analyticsindiamag.com Machine learning today not only recommends the things you can buy, or content you can watch, but it is doing wonders in other domains as well. This time it is on a mission to find out something untouched. There are different elements in music that trigger emotion in humans. And machine learning is Read More
Source: sdtimes.com Application performance management (APM) solutions need to adapt now that the age of monolithic applications has evolved into microservice-based architectures, which are innately distributed and complex and therefore harder to monitor. Collecting vast troves of data on how apps are performing is no longer enough, and APM providers have been adding new ways to analyze Read More
Source: itproportal.com In 2005, the National Science Board began advocating for a data science career path in an effort to ensure experts could manage the inevitable onslaught of future data. While the practice of data science reaches back to the 1960s, and includes several older disciplines like statistics, it wasn’t until these past 15 years Read More
Source: thenextweb.com Mozilla, the nonprofit behind the free and open-source Firefox web browser, is partnering with Montreal-based artificial intelligence startup Element AI to push for ethical use of AI. To that effect, the two companies are exploring the idea of data trusts, a proposed data collection approach that aims to provide individuals with greater control over Read More
Source: syncedreview.com After running the industrial robot operating system startup “Cobot” for three years, founder Miao Li has decided to axe 98 percent of the company’s “fancy services” and just focus on drug logistics and sorting mushrooms. Although the countless pages of operating system manuals he’d produced represented an investment of over US$15 million, Miao Read More
Source: thespoon.tech Artificial intelligence (AI) is a vague, slightly tech-y term that is overused by marketing departments trying to show some bona fides. But if you want some real insights on what artificial intelligence is and what it can do, then you should check out these talks that Chris Satchell of Zume and Erik Andrejko Read More
Source: aithority.com Inzata, the first full-service data analytics platform powered by artificial intelligence, announces the general availability of its AI-Powered Data Enrichment Services, launching with 38 new One-Click Enrichments for all subscription users. Inzata’s data enrichment services make any raw data more useful and accurate, and therefore more valuable. “Data enrichment” is the process of adding curated, Read More
Source: spglobal.com “Garbage in, garbage out” – it’s a cliché in machine learning circles. Anyone who works with artificial intelligence (AI) knows that the quality of the data goes a long way toward determining the quality of the result. But “garbage” is a broad and expanding category in data science – poorly labeled or inaccurate Read More
Source: itproportal.com The insights gained from Big Data analytics can be incredibly valuable to a business. Yet, every new data stream creates a new potential attack vector, making classic perimeter defences obsolete and leaving the organisation vulnerable. In the past, data security executives and data scientists had to choose between analytics and security but now Read More
Source:-analyticsinsight.net Data scientists are taking on new importance as the difficulties of transforming raw data into an organisational resource has become increasingly daunting. Today, it is the data scientists as opposed to software developers who are probably going to be approached for the task. They have the knowledge and the tools to change over our Read More
Source:-insidebigdata.com Emerging technologies such as big data and AI can be daunting for the small business owner, but there’s also significant pressure to stay ahead of the curve. Small businesses are always competing to keep costs and overheads low, as they’re less able to sustain themselves through the lean times. However, McKinsey research has shown Read More
Source:-business.com Machine learning can help businesses develop software capable of understanding natural human language. Businesses can use machine learning to improve the efficiency of logistics and transportation networks. Machine learning helps businesses use preventative maintenance to decrease equipment breakdowns and increase profits. With machine learning, businesses can leverage consumer data to build useful customer profiles, Read More
Source:-benzinga.com leading global provider of solutions for epigenetics research and in vitro diagnostics, has launched the industry’s first epigenetics data mining services that uses unique algorithms and machine learning to uncover the underlying biological meaning of epigenetic data and other data types. Next generation sequencing in combination with bioinformatics analyses of genomic, transcriptomic, and epigenomic Read More