Source: cnbctv18.com It is estimated that one in three women will move towards customised products by 2025. The trend is slowly catching up in India and it is not restricted to the affluent metro dwellers. As more and more people are moving towards customised beauty care products, a handful of innovative startups across the globe Read More

Read More

Source:-analyticsinsight.net Man-made brainpower (AI) will soon be at the core of each major technological framework on the planet to manage and get to your strategic information. Only a couple of uses are cyber and homeland security, anti-money laundering, payments, financial markets, biotech, healthcare, marketing, natural language processing (NLP), computer vision, electrical grids, nuclear power plants, Read More

Read More

Source:-analyticsinsight.net We live in a world surrounded by various software and applications and tend to shovel all the data related to our existence without any hesitation. Interestingly public and private sector organizations collect this information, store it and leverage it for personal and public benefits. The big data generated at such a massive scale help Read More

Read More

Source:-forbes.com Cybersecurity is at an inflection point entering 2020. Advances in AI and machine learning are accelerating its technological progress. Real-time data and analytics are making it possible to build stronger business cases, driving higher adoption. Cybersecurity spending has rarely been linked to increasing revenues or reducing costs, but that’s about to change in 2020.  Read More

Read More

Source:-analyticsinsight.net As the world heads towards increased efficiency and productivity through disruptive technologies, some of them are revising themselves with enhanced attributes offering better services and effectiveness. Machine Intelligence is one such technology that has risen from the advancement and evolution of ubiquitous technologies – machine learning and artificial intelligence. Machine Intelligence is advanced computing Read More

Read More

Source-analyticsinsight.net The boons of machine learning have been leveraged in the industry in the past many years. With its increasing implementation, the ML tools have also evolved with time. Today, people can easily work with machine learning owing to its easy-to-use, user-friendly tools. As the gathering of data and turning it into actionable insights has Read More

Read More

Source:-thehindubusinessline.com China and the US are the two leading AI superpowers that have dominated research Microsoft Corp co-founder Bill Gates spoke out against protectionism in technological research around topics like artificial intelligence, arguing that open systems will inevitably win out over closed ones. In conversation with Bloomberg News editor-in-chief John Micklethwait at the New Economy Read More

Read More

Source:-analyticsindiamag.com Web frameworks are usually used by the developers to ease the building process of web applications. They help developers to concentrate more on the task rather than the complex coding part. According to the Stack Overflow Developer Survey 2019, among nearly 90,000 developers, 63,585 developers chose the most loved web frameworks where jQuery, React.js Read More

Read More

Source:-theverge.comToday, Alphabet’s X moonshot division (formerly known as Google X) unveiled the Everyday Robot project, whose goal is to develop a “general-purpose learning robot.” The idea is that its robots could use cameras and complex machine learning algorithms to see and learn from the world around them without needing to be coded for every individual Read More

Read More

Source:-zdnet.comThe smartphone-sized device can alert in real-time if a firefighter’s health is at risk when they’re out fighting fires. Barcelona-based startup Prometeo has developed an AI-based cognitive health monitoring platform in hope that one day it will be used to monitor the health of firefighters while they are out battling brutal wildfires. Co-founder Salome Valero Read More

Read More

Source:-hitzdairies.com The Global AI in Fintech Market report provides in-depth analysis and insights into developments impacting businesses and enterprises on global and regional level. The report covers the global AI in Fintech Market performance in terms of revenue contribution from various segments and includes a detailed analysis of key trends, drivers, restraints, and opportunities influencing revenue Read More

Read More

Source:-entrepreneur.com Artificial intelligence (AI) is competent to have a revolutionary impact on businesses globally. Talking about the information technology sector, it is no longer merely about codifying business logic. Instead, more about making tasks effortless, innovative and trouble-free. Insight is indeed the modern currency, and the pace with which we all can scale that insight Read More

Read More

Source:-dqindia.com IEEE unveiled “Generation AI 2019: Third Annual Study of Millennial Parents and Generation Alpha Kids.” The survey reveals the confidence Millennial parents in the US, UK, India, China and Brazil with Generation Alpha children (nine years-old or younger) may have in using artificial intelligence and emerging technologies for the health and wellness of their Read More

Read More

Source:-thehindubusinessline.com Organisations are looking to AI models to bring out digital transformation in business. But, understanding which kind of models are most suited to the business needs is crucial As enterprises are discovering the benefits of artificial intelligence (AI), they realise the journey to AI is long and bumpy. Many CIOs (chief information officers) want Read More

Read More

Source:-techobserver.in As enterprises look to become more agile and move towards a DevOps and continuous testing, the need for microservices has grown manifolds. Businesses require a next-generation web application firewall (WAF) that enables secure delivery of applications. Software development life cycle (SDLC), is as flexible as the dynamic environment and threat landscape and adapts to Read More

Read More

Source:-itproportal.comThe emerging technologies that are set to revolutionise healthcare. AI and ML solutions are already being used by thousands of companies with the goal of improving the healthcare experience. For example, Babylon Health is changing the way we manage and better understand health. Founder, Ali Parsa developed the app in 2013 with a mission of Read More

Read More

Source:-infoq.com The Apache Software Foundation (ASF) recently announced that SINGA, a framework for distributed deep-learning, has graduated to top-level project (TLP) status, signifying the project’s maturity and stability. SINGA has already been adopted by companies in several sectors, including banking and healthcare. Originally developed at the National University of Singapore, SINGA joined ASF’s incubator in March 2015. SINGA provides a framework for Read More

Read More

Source:-oilandgasmiddleeast.comInEight chief design officer Daniel Patterson comments on the benefits of collaboration between AI and humans to facilitate project planning he science of project planning has something of a tenuous reputation. How often do large oil and gas capital expenditure (CAPEX) projects really come in according to plan? Almost never. Even during this era of Read More

Read More

Source:-5gigs.com An aim of Data Science Market report is to guide the user to know the market in terms of its definition, market potential, vital trends, and the challenges facing by the market. Step by step study of Data Science market provides an extensive outlook on the market trends from 2019 to 2028 covering crucial information on Read More

Read More

Source:-IBM Cloud Pak for Security features open-source Red Hat technology for hunting threats and automation to speed response to cyberattacks IBM is taking aim at the challenging concept of securely locking-down company applications and data spread across multiple private and public clouds and on-premises locations. IBM is addressing this challenge with its Cloud Pak for Read More

Read More

Source:-analyticsindiamag.com As larger neural networks with more layers and nodes are considered, reducing their storage and computational cost becomes critical, especially for some real-time applications such as online learning and incremental learning In addition, recent years witnessed significant progress in virtual reality, augmented reality, and smart wearable devices, creating challenges in deploying deep learning systems Read More

Read More
Artificial Intelligence